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Politrack: track Austrian politicians from public sources

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Initial import of Politrack, a self-hosted service that tracks Austrian
politicians from federal to municipal level - roles, votes, money flows,
statements, meetings, social media and legal proceedings - with every claim
linked to its sources.

- backend: FastAPI + Postgres/pgvector; adapter framework (fetch -> parse ->
  load -> enrich) with robots.txt/TDM-aware fetching, a raw-response archive
  for reparsing, and a claim/evidence model with corroboration
- sources: Parliament, Wikidata, EU Parliament/Commission, Council of
  Ministers, Rechnungshof party reports and donations, procurement, RTR media
  transparency, political ad libraries, WKStA, news feeds, Wikipedia edits,
  Bluesky, Mastodon, public Telegram channels, YouTube and X (official API)
- web: Next.js frontend in German and English with typed API client
- mcp: MCP server for AI agents and RAG
- docs: architecture, data model, sources, legal notes, Unraid deployment and
  contributor guides; Docker Compose setup for Unraid

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
simonandClaude Opus 5.5 committed 2026-10-28 20:02:01 +01:00
commit 583ccba31c
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.env.example
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# Copy to .env and adjust.
# Where persistent data lives. On Unraid: /mnt/user/appdata/politrack
# (Not named APPDATA: Windows already sets that variable, and shell variables override this file.)
DATA_DIR=./data
POSTGRES_PASSWORD=change-me
# Password for the read-only `politrack_reader` role (for agents, BI tools, notebooks).
POLITRACK_READER_PASSWORD=change-me-too
# Identify the crawler honestly: put a URL describing the project and a contact address.
POLITRACK_USER_AGENT=PolitrackBot/0.1 (+https://example.org/about; contact: you@example.org)
POLITRACK_MIN_REQUEST_INTERVAL=2.0
# Legislative periods of the Austrian parliament to ingest in detail (JSON list).
POLITRACK_PARLAMENT_PERIODS=["XXVII","XXVIII"]
# Optional: semantic search via Ollama (model bge-m3, 1024 dims).
# POLITRACK_OLLAMA_URL=http://ollama:11434
POLITRACK_EMBEDDING_MODEL=bge-m3
POLITRACK_API_CORS_ORIGINS=["http://localhost:3000"]
# Moderation endpoints (/api/v1/review, /api/v1/admin/runs). Leave empty to moderate via the CLI only.
# POLITRACK_ADMIN_TOKEN=
# Raw-response archive inside the containers (mounted from ${DATA_DIR}/raw by docker-compose.yml).
POLITRACK_RAW_DIR=/data/raw
# Bulk sources: how far back the first run backfills.
POLITRACK_PROCUREMENT_SINCE=2024-01-01
POLITRACK_AD_ARCHIVE_SINCE=2023-01-01
# Optional credentials. Adapters that need them skip themselves when unset.
# YouTube Data API v3 key (free quota): https://console.cloud.google.com/apis/library/youtube.googleapis.com
# POLITRACK_YOUTUBE_API_KEY=
# Meta Ad Library API token (requires identity confirmation): https://www.facebook.com/ads/library/api
# POLITRACK_META_AD_LIBRARY_TOKEN=
# X API v2 bearer token (paid tier with read access). Without it no X posts are collected.
# POLITRACK_X_BEARER_TOKEN=
API_PORT=8000
MCP_PORT=8001
WEB_PORT=3000
DB_PORT=5433
.gitignore
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.env
data/
__pycache__/
*.pyc
.venv/
.pytest_cache/
.ruff_cache/
node_modules/
web/.next/
web/next-env.d.ts
CONTRIBUTING.md
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# Contributing to Politrack
Thanks for helping make Austrian politics more transparent. Three principles guide every change:
1. **Every fact has a source.** No claim without evidence; the UI and the API always show it.
2. **Only legal access.** Official APIs and open data first; robots.txt, terms of service and TDM
reservations are respected – enforced by the framework, documented per source.
3. **Fairness.** Neutral wording, the procedural stage and the presumption of innocence for legal
matters, connections are not accusations, data about people only in their public role.
## Where to start
| I want to … | Read |
|---|---|
| add a data source (scraper/API) | [docs/contributing/adapters.md](docs/contributing/adapters.md) |
| derive facts from existing data (linking, detection) | [docs/contributing/enrichers.md](docs/contributing/enrichers.md) |
| add an API endpoint or MCP tool | [docs/contributing/api.md](docs/contributing/api.md) |
| add a page or show a new claim type in the UI | [docs/contributing/frontend.md](docs/contributing/frontend.md) |
| run or write tests | [docs/contributing/testing.md](docs/contributing/testing.md) |
| understand the design | [docs/architecture/01-design-from-scratch.md](docs/architecture/01-design-from-scratch.md), [docs/data-model.md](docs/data-model.md) |
| add a social account or party channel | `backend/config/social_accounts.yaml` (comments explain the fields) |
| add a news feed | `backend/config/feeds.yaml` (+ a `SourceSpec` in `sources/news.py`) |
## Development setup
```bash
cp .env.example .env
docker compose up -d db && docker compose run --rm migrate
# Docker Desktop on Windows: the first start of `db` takes a few minutes (fsync on a bind mount is slow).
# backend
cd backend
python -m venv .venv && . .venv/bin/activate
pip install -e '.[dev]'
export POLITRACK_DATABASE_URL=postgresql://politrack:<password>@localhost:5433/politrack POLITRACK_RAW_DIR=./data/raw
pytest
politrack run parlament.persons --max-requests 20
politrack api # http://localhost:8000/api/docs
# frontend
cd ../web
npm install
API_INTERNAL_URL=http://localhost:8000 npm run dev
```
## Pull requests
* One topic per PR. Explain *what data* and *why it matters*; for new sources, answer the legal checklist
in [adapters.md](docs/contributing/adapters.md#0-before-writing-code-the-legal-checklist).
* Tests: `pytest` green; new parsers come with golden fixtures; `npm run typecheck` for frontend changes.
* Changed response models → regenerate `web/src/lib/api-types.ts` (`politrack openapi --ts …`).
* New texts in both `web/messages/de.json` and `en.json`.
* Style: Python formatted/linted with `ruff` (line length 110); TypeScript strict.
* Schema changes: a new numbered file in `backend/migrations/` (never edit an applied migration), with
`COMMENT`s on new tables/columns – agents read them.
## Reporting errors in the data
Wrong or outdated claim? Open an issue with the claim id (shown in the API) and a source for the
correction. Claims are never silently deleted: they are corrected, marked as disputed with the
contradicting source, or rejected in review.
README.md
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# Politrack 🇦🇹
**What Austrian politicians do, with every claim linked to its sources.**
Politrack collects publicly available information about Austrian politicians and parties, from the EU and
federal level down to municipalities: mandates and functions, how factions and individuals voted, party
donations and finances, public contracts, government advertising, side jobs, lobby meetings, speeches,
questions and public posts, media reports, trips and meetings, and legal proceedings. Every fact is a
**claim** with one or more pieces of **evidence** (links), so readers can verify it and decide which
sources they trust.
* 🇩🇪 German UI by default (`/`), English at `/en`
* Users choose **which sources they trust** and **which topics they care about**
* Pages per **person**, **party** and **organisation**, a **money** explorer, **calendar** and **timeline**
* **Votes**: faction votes for every bill, **individual roll-call votes** with a dissent flag, and
"say vs. vote" (did the person speak on the item?)
* **Follow the money**: donations, party funding, loans and holdings, public contracts, government ads,
political ads – and the organisations a politician is connected to
* **Corroboration**: the same fact from independent sources becomes one claim with several sources
* **Former politicians**: what they are doing now
* Legal matters always carry the procedural stage and *"Es gilt die Unschuldsvermutung"*; automatically
detected ones need human review first
* **Agent-ready**: MCP server, typed REST/OpenAPI, read-only SQL role, pgvector chunks for RAG
* Runs as Docker containers on a homelab (Unraid); workers scale horizontally
* **Legal by construction**: robots.txt, rate limits, TDM reservations and storage rules are enforced in
the framework, not left to each scraper
## Documentation
| Doc | Contents |
|---|---|
| [docs/architecture/01-design-from-scratch.md](docs/architecture/01-design-from-scratch.md) | The architecture: quality goals, data model, adapter framework, serving, testing, guard-rails |
| [docs/architecture/02-comparison-and-decisions.md](docs/architecture/02-comparison-and-decisions.md) | Why it is built this way (decision records) |
| [docs/data-model.md](docs/data-model.md) | Tables, claim types, identifier schemes, views |
| [docs/sources.md](docs/sources.md) | Every source with access method, licence/ToS assessment, and what we deliberately don't collect (incl. Telegram/WhatsApp/Signal) |
| [docs/legal.md](docs/legal.md) | Copyright/TDM, GDPR, MedienG §7b (presumption of innocence), defamation |
| [docs/deployment-unraid.md](docs/deployment-unraid.md) | Step-by-step Unraid setup, backups, exposure |
| [docs/investigative-data.md](docs/investigative-data.md) | Data points for investigative work and the correlations they enable |
| [docs/market-research.md](docs/market-research.md) | Existing services and the gaps Politrack fills |
| [docs/roadmap.md](docs/roadmap.md) | What's done and what comes next |
| [CONTRIBUTING.md](CONTRIBUTING.md) | How to contribute: adapters, enrichers, API, frontend, tests |
## Quick start
```bash
cp .env.example .env # set passwords and a real contact address for the crawler
docker compose up -d --build # db, migrate, api, web, mcp, workers
docker compose exec api politrack sources list # all adapters/enrichers and their schedules
docker compose exec api politrack run parlament.persons # members, mandates, side jobs, speeches
docker compose exec api politrack run wikidata.politicians # state/local offices, parties, careers, social handles
docker compose exec api politrack run parlament.items # votes, roll calls, immunity, questions, hearings
docker compose exec api politrack run rechnungshof.donations # party donations
docker compose exec api politrack enrich # linking, events, legal detection, corroboration
docker compose exec api politrack review # approve/reject automatically detected legal matters
docker compose exec api politrack status # recent runs with stats and errors
```
The workers then keep everything fresh on their own: each adapter declares its cron schedule and queue.
* Web: http://localhost:3000
* API docs: http://localhost:8000/api/docs
* MCP (streamable HTTP): http://localhost:8001/mcp
* SQL (read-only): `postgresql://politrack_reader:<POLITRACK_READER_PASSWORD>@localhost:5433/politrack`
## Repository layout
```
backend/ Python package `politrack` (one image for API, workers, MCP)
migrations/ SQL schema (commented for agents) + seed (chambers, parties, topics)
config/ feeds.yaml, social_accounts.yaml, ip_ranges.yaml, meta_pages.yaml
politrack/
core/ the framework: SourceSpec, Adapter/Enricher, Request/Response, Fetcher
(policy + archive), records, Resolver, Loader, registry, runner
sources/ one module per publisher (parlament/, wikidata, rechnungshof, bundesregierung,
procurement, rtr, eu, wikipedia, political_ads, justiz, news, gdelt, social)
enrich/ linker, events, legal, topics, maintenance, corroborate, embed, curated
queries/ read queries shared by API and MCP
api/ FastAPI app + Pydantic response models
mcp_server.py MCP tools for agents
worker.py Procrastinate tasks generated from the registry
tests/ unit tests + golden fixtures
web/ Next.js 15 + next-intl frontend (types generated from the API)
docs/
docker-compose.yml
```
## Contributing
Adding a source is one module with a `SourceSpec`, `start()` and a pure `parse()` – see
[docs/contributing/adapters.md](docs/contributing/adapters.md) and [CONTRIBUTING.md](CONTRIBUTING.md).
## Data licence & attribution
Data from the Austrian Parliament: © Parlamentsdirektion, CC BY 4.0. Wikidata: CC0. Rechnungshof,
Bundeskanzleramt and WKStA publications are official works (§7 UrhG). Open government data from
data.gv.at and RTR under their respective licences (mostly CC BY 4.0). Media content is linked, not
reproduced.
backend/.dockerignore
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__pycache__/
*.pyc
.venv/
.pytest_cache/
.ruff_cache/
tests/
backend/Dockerfile
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FROM python:3.12-slim
ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PIP_NO_CACHE_DIR=1
WORKDIR /app
# Install dependencies first for better layer caching.
COPY pyproject.toml ./
RUN mkdir politrack && touch politrack/__init__.py && pip install -e . && rm -rf politrack
# Editable install keeps the package at /app/politrack, so migrations/ and
# config/ resolve relative to it.
COPY politrack ./politrack
COPY migrations ./migrations
COPY config ./config
# /data/raw holds the raw-response archive (mount a volume there).
RUN useradd --system --uid 1000 politrack && mkdir -p /data/raw && chown -R politrack /data
USER politrack
EXPOSE 8000 8001
CMD ["politrack", "api"]
backend/config/feeds.yaml
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# News feeds monitored for mentions of politicians.
#
# Policy (see docs/sources.md): we only read the RSS feeds and Google-News
# sitemaps publishers offer for automated discovery and store headline,
# teaser/keywords and link - never full article text. If a site declares a TDM
# reservation (tdmrep.json), only headline + link are kept and entity linking
# runs on the headline alone.
#
# `source` must exist in the `source` table. `type: sitemap` = Google-News sitemap
# (listed in the site's robots.txt), otherwise RSS/Atom.
feeds:
- source: orf
url: https://rss.orf.at/news.xml
- source: derstandard
url: https://www.derstandard.at/rss/inland
- source: derstandard
type: sitemap
url: https://www.derstandard.at/sitemaps/news.xml
- source: diepresse
url: https://www.diepresse.com/rss/politik
- source: diepresse
type: sitemap
url: https://www.diepresse.com/news-sitemap
- source: kurier
url: https://kurier.at/politik/xml/rssd
- source: kurier
type: sitemap
url: https://kurier.at/sitemaps_google_news.xml
- source: profil
type: sitemap
url: https://www.profil.at/sitemaps_google_news.xml
- source: falter
url: https://www.falter.at/rss
- source: krone
url: https://www.krone.at/nachrichten/rss.html
- source: sn
type: sitemap
url: https://www.sn.at/news-artikel.sitemap.xml
- source: kleinezeitung
type: sitemap
url: https://www.kleinezeitung.at/sitemap-news.xml
- source: apa-ots
url: https://www.ots.at/rss/politik
backend/config/ip_ranges.yaml
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# IP ranges registered to public institutions (source: RIPE database, https://apps.db.ripe.net).
# Used by the wikipedia.institution_edits adapter. `org` must be an organization slug.
# MediaWiki allows range queries up to /16 (IPv4) and /32 (IPv6).
networks:
- org: nationalrat
label: Parlament (Parlamentsdirektion)
# inetnum 161.110.0.0 - 161.110.255.255, netname OEPARNET, 1017 Wien (maintainer AS6883-MNT "Network of the Austrian Parliament")
ranges: ["161.110.0.0/16"]
- org: bundesregierung
label: Bundeskanzleramt
# inetnum 78.41.144.0 - 78.41.145.255 (BKA-NET-VIE, BKA-NET-VIE2); inet6num 2a03:f080:1000::/48 (BKA-NET-IPv6)
ranges: ["78.41.144.0/23", "2a03:f080:1000::/48"]
backend/config/meta_pages.yaml
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# Facebook/Instagram page ids for the Meta Ad Library adapter (ads.meta).
# Only used when POLITRACK_META_AD_LIBRARY_TOKEN is set. Find page ids in the Ad Library UI
# (https://www.facebook.com/ads/library/) - search a party/politician, the URL contains view_all_page_id=...
pages: []
# - page_id: "123456789"
# label: "Beispielpartei"
backend/config/social_accounts.yaml
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# Social-media accounts that no official register lists (imported by `politrack run config.social_accounts`).
#
# Parliament profiles (verified) and Wikidata (unverified) are imported automatically; use this file for
# party channels and accounts you have checked yourself. Every entry:
#
# platform: bluesky | mastodon | telegram | youtube | twitter | ...
# url: canonical profile URL
# person: politrack slug, or {wikidata: Q...} / {parlament: <PAD id>} (or `name: Full Name`)
# org: organisation slug (e.g. a party), or {slug, name, kind} to create one - when not a person
# verified: true only if an official page of the owner links the account
# evidence: that official page (documentation for reviewers)
#
# Only PUBLIC broadcast channels/accounts. Never add private groups, WhatsApp/Signal groups or
# accounts that require joining/logging in (see docs/sources.md, "Messaging platforms").
accounts:
- platform: telegram
url: https://t.me/MFGOesterreich
org: mfg
verified: true
evidence: https://www.mfg-oe.at
- platform: bluesky
url: https://bsky.app/profile/neos.eu
org: neos
verified: true
evidence: https://www.neos.eu
- platform: bluesky
url: https://bsky.app/profile/bundespraesident.at
org: {slug: bundespraesident, name: Österreichische Präsidentschaftskanzlei, short_name: Bundespräsident, kind: public_body}
verified: true
evidence: https://www.bundespraesident.at
# Public channel with web preview; not linked from an official page -> unverified.
- platform: telegram
url: https://t.me/dominikNepp
name: Dominik Nepp
verified: false
backend/migrations/0001_schema.sql
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-- Politrack schema (v2). See docs/architecture/01-design-from-scratch.md and docs/data-model.md.
--
-- Every user-visible fact is a CLAIM backed by >= 1 EVIDENCE row pointing to a DOCUMENT (a URL)
-- published by a SOURCE. Typed facet tables (role, vote_position, money_flow, ...) add structure.
-- Entities carry any number of external IDENTIFIERS. Raw responses are indexed in FETCH.
-- All objects carry COMMENTs so agents can discover semantics from the catalog.
CREATE EXTENSION IF NOT EXISTS vector;
CREATE EXTENSION IF NOT EXISTS pg_trgm;
CREATE EXTENSION IF NOT EXISTS unaccent;
-- ---------------------------------------------------------------------------
-- Sources, raw archive, documents
-- ---------------------------------------------------------------------------
CREATE TABLE source (
id SERIAL PRIMARY KEY,
slug TEXT NOT NULL UNIQUE,
name TEXT NOT NULL,
kind TEXT NOT NULL CHECK (kind IN ('official', 'ngo', 'media', 'social', 'aggregator', 'user', 'derived')),
homepage TEXT,
license TEXT,
access_method TEXT NOT NULL CHECK (access_method IN ('api', 'bulk', 'rss', 'scrape', 'manual', 'derived')),
store_fulltext BOOLEAN NOT NULL DEFAULT FALSE,
keep_raw BOOLEAN NOT NULL DEFAULT TRUE,
default_trust SMALLINT NOT NULL DEFAULT 50 CHECK (default_trust BETWEEN 0 AND 100),
tos_notes TEXT,
updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
COMMENT ON TABLE source IS 'A publisher (parliament API, a newspaper, a social network...). Rows are synced from the SourceSpec objects in backend/politrack/sources (single source of truth).';
COMMENT ON COLUMN source.store_fulltext IS 'FALSE when licence/ToS or a TDM reservation forbids keeping body text: only title, short excerpt and link are stored.';
COMMENT ON COLUMN source.keep_raw IS 'FALSE when raw responses must not be archived (e.g. TDM-reserved publishers).';
CREATE TABLE fetch_log (
id BIGSERIAL PRIMARY KEY,
adapter TEXT NOT NULL,
source_id INT REFERENCES source(id),
request_fp TEXT NOT NULL,
url TEXT NOT NULL,
method TEXT NOT NULL DEFAULT 'GET',
request JSONB NOT NULL DEFAULT '{}'::jsonb,
status INT,
sha256 TEXT,
size INT,
content_type TEXT,
etag TEXT,
last_modified TEXT,
stored BOOLEAN NOT NULL DEFAULT FALSE,
tdm_reserved BOOLEAN NOT NULL DEFAULT FALSE,
fetched_at TIMESTAMPTZ NOT NULL DEFAULT now(),
parsed_sha256 TEXT,
parser_version INT,
error TEXT
);
CREATE INDEX fetch_fp_idx ON fetch_log (request_fp, fetched_at DESC);
CREATE INDEX fetch_adapter_idx ON fetch_log (adapter, fetched_at DESC);
COMMENT ON TABLE fetch_log IS 'Raw archive index: one row per HTTP fetch. Bodies live gzip-compressed under POLITRACK_RAW_DIR/<sha256[:2]>/<sha256>.gz when stored=TRUE. Used for conditional requests, change detection and re-parsing.';
CREATE TABLE story (
id BIGSERIAL PRIMARY KEY,
title TEXT NOT NULL,
first_seen TIMESTAMPTZ,
last_seen TIMESTAMPTZ,
document_count INT NOT NULL DEFAULT 0,
source_count INT NOT NULL DEFAULT 0
);
COMMENT ON TABLE story IS 'Cluster of news documents about the same event. Reported by several independent outlets = corroborated.';
CREATE TABLE document (
id BIGSERIAL PRIMARY KEY,
source_id INT NOT NULL REFERENCES source(id),
url TEXT NOT NULL UNIQUE,
title TEXT,
doc_type TEXT NOT NULL DEFAULT 'web_page',
lang TEXT DEFAULT 'de',
published_at TIMESTAMPTZ,
retrieved_at TIMESTAMPTZ NOT NULL DEFAULT now(),
excerpt TEXT,
full_text TEXT,
archive_url TEXT,
fetch_id BIGINT REFERENCES fetch_log(id) ON DELETE SET NULL,
story_id BIGINT REFERENCES story(id) ON DELETE SET NULL,
meta JSONB NOT NULL DEFAULT '{}'::jsonb
);
CREATE INDEX document_source_idx ON document (source_id, published_at DESC);
CREATE INDEX document_published_idx ON document (published_at DESC);
CREATE INDEX document_story_idx ON document (story_id);
CREATE INDEX document_title_trgm ON document USING gin (title gin_trgm_ops);
COMMENT ON TABLE document IS 'One URL (article, API record, protocol, post, register entry). Evidence rows point here; url is what users click to verify a claim.';
COMMENT ON COLUMN document.doc_type IS 'article | press_release | api_record | protocol | social_post | register_entry | web_page | pdf | dataset_row';
-- ---------------------------------------------------------------------------
-- Entities
-- ---------------------------------------------------------------------------
CREATE TABLE person (
id SERIAL PRIMARY KEY,
slug TEXT NOT NULL UNIQUE,
full_name TEXT NOT NULL,
given_name TEXT,
family_name TEXT,
honorific_prefix TEXT,
honorific_suffix TEXT,
birth_date DATE,
death_date DATE,
gender TEXT,
photo_url TEXT,
summary_de TEXT,
summary_en TEXT,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX person_name_trgm ON person USING gin (full_name gin_trgm_ops);
COMMENT ON TABLE person IS 'A politician: anyone holding or having held a party, parliamentary, government or municipal function.';
CREATE TABLE organization (
id SERIAL PRIMARY KEY,
slug TEXT NOT NULL UNIQUE,
name TEXT NOT NULL,
short_name TEXT,
kind TEXT NOT NULL CHECK (kind IN ('party', 'parliamentary_group', 'parliament', 'government', 'ministry',
'state_government', 'municipality', 'public_body', 'company', 'ngo',
'media', 'lobby', 'court', 'authority', 'eu_institution', 'other')),
parent_id INT REFERENCES organization(id),
color TEXT,
logo_url TEXT,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX organization_name_trgm ON organization USING gin (name gin_trgm_ops);
COMMENT ON TABLE organization IS 'Parties, parliamentary groups, chambers, ministries, public bodies, companies, media owners, lobby organisations.';
CREATE TABLE identifier (
entity_type TEXT NOT NULL CHECK (entity_type IN ('person', 'organization')),
entity_id INT NOT NULL,
scheme TEXT NOT NULL,
value TEXT NOT NULL,
source_slug TEXT,
verified BOOLEAN NOT NULL DEFAULT TRUE,
PRIMARY KEY (entity_type, scheme, value)
);
CREATE INDEX identifier_entity_idx ON identifier (entity_type, entity_id);
COMMENT ON TABLE identifier IS 'External ids: scheme parlament (PAD_INTERN), wikidata (QID), ep (MEP id), bluesky (DID), mastodon (acct), telegram (channel), youtube (channel id), uid (ATU...), firmenbuch, rtr (Rechtsträger id), eu_transparency (register id)...';
CREATE TABLE alias (
entity_type TEXT NOT NULL CHECK (entity_type IN ('person', 'organization')),
entity_id INT NOT NULL,
alias TEXT NOT NULL,
alias_norm TEXT NOT NULL,
PRIMARY KEY (entity_type, entity_id, alias_norm)
);
CREATE INDEX alias_norm_idx ON alias (entity_type, alias_norm);
COMMENT ON TABLE alias IS 'Name variants for entity resolution and linking (titles stripped, legal forms normalised for organisations).';
CREATE TABLE social_account (
id SERIAL PRIMARY KEY,
person_id INT REFERENCES person(id) ON DELETE CASCADE,
organization_id INT REFERENCES organization(id) ON DELETE CASCADE,
platform TEXT NOT NULL,
handle TEXT,
url TEXT NOT NULL,
verified BOOLEAN NOT NULL DEFAULT FALSE,
source_slug TEXT,
UNIQUE (platform, url)
);
COMMENT ON COLUMN social_account.verified IS 'TRUE when the account comes from an official source (parliament profile, party/official website, platform verification); Wikidata-only handles are FALSE until confirmed.';
-- ---------------------------------------------------------------------------
-- Topics, claims, evidence
-- ---------------------------------------------------------------------------
CREATE TABLE topic (
id SERIAL PRIMARY KEY,
slug TEXT NOT NULL UNIQUE,
name_de TEXT NOT NULL,
name_en TEXT NOT NULL,
keywords TEXT[] NOT NULL DEFAULT '{}'
);
COMMENT ON TABLE topic IS 'Bilingual topic taxonomy; the first 18 mirror the Austrian Parliament''s THEMEN.';
CREATE TABLE claim (
id BIGSERIAL PRIMARY KEY,
claim_type TEXT NOT NULL CHECK (claim_type IN (
'role', 'vote', 'donation', 'money_flow', 'statement', 'appearance', 'meeting', 'travel',
'side_job', 'legal_proceeding', 'lobbying', 'media_mention', 'career',
'parliamentary_question', 'government_decision', 'wiki_edit', 'declaration', 'ownership',
'affiliation', 'party_finance', 'other')),
fingerprint TEXT NOT NULL UNIQUE,
person_id INT REFERENCES person(id) ON DELETE CASCADE,
organization_id INT REFERENCES organization(id) ON DELETE CASCADE,
counterpart_person_id INT REFERENCES person(id),
counterpart_org_id INT REFERENCES organization(id),
occurred_at TIMESTAMPTZ,
valid_from DATE,
valid_to DATE,
summary_de TEXT NOT NULL,
summary_en TEXT,
data JSONB NOT NULL DEFAULT '{}'::jsonb,
status TEXT NOT NULL DEFAULT 'reported' CHECK (status IN ('reported', 'corroborated', 'disputed', 'retracted')),
sensitive BOOLEAN NOT NULL DEFAULT FALSE,
review_status TEXT NOT NULL DEFAULT 'published' CHECK (review_status IN ('pending', 'published', 'rejected')),
reviewed_by TEXT,
reviewed_at TIMESTAMPTZ,
merged_into BIGINT REFERENCES claim(id) ON DELETE SET NULL,
created_by TEXT NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE INDEX claim_person_idx ON claim (person_id, claim_type, occurred_at DESC);
CREATE INDEX claim_org_idx ON claim (organization_id, claim_type, occurred_at DESC);
CREATE INDEX claim_cp_org_idx ON claim (counterpart_org_id) WHERE counterpart_org_id IS NOT NULL;
CREATE INDEX claim_type_time_idx ON claim (claim_type, occurred_at DESC);
CREATE INDEX claim_merged_idx ON claim (merged_into) WHERE merged_into IS NOT NULL;
CREATE INDEX claim_review_idx ON claim (review_status) WHERE review_status <> 'published';
COMMENT ON TABLE claim IS 'An atomic statement about a person and/or organization, never shown without evidence. Identity (fingerprint) is computed by the Loader from resolved entities and type-specific fields, so the same fact from several sources is one claim.';
COMMENT ON COLUMN claim.status IS 'reported = 1 source; corroborated = >= 2 independent sources; disputed = contradicting evidence; retracted.';
COMMENT ON COLUMN claim.sensitive IS 'Legal matters: UI and agents must show "Es gilt die Unschuldsvermutung" unless legal stage = convicted_final and not disputed.';
COMMENT ON COLUMN claim.merged_into IS 'Set when found to describe the same fact as another claim (corroboration); reads skip merged claims.';
CREATE TABLE claim_evidence (
id BIGSERIAL PRIMARY KEY,
claim_id BIGINT NOT NULL REFERENCES claim(id) ON DELETE CASCADE,
document_id BIGINT NOT NULL REFERENCES document(id) ON DELETE CASCADE,
stance TEXT NOT NULL DEFAULT 'supports' CHECK (stance IN ('supports', 'contradicts', 'mentions')),
quote TEXT,
locator TEXT NOT NULL DEFAULT '',
extracted_by TEXT NOT NULL,
confidence REAL NOT NULL DEFAULT 1.0,
created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
UNIQUE (claim_id, document_id, locator)
);
CREATE INDEX claim_evidence_doc_idx ON claim_evidence (document_id);
CREATE TABLE topic_assignment (
topic_id INT NOT NULL REFERENCES topic(id) ON DELETE CASCADE,
claim_id BIGINT NOT NULL REFERENCES claim(id) ON DELETE CASCADE,
confidence REAL NOT NULL DEFAULT 1.0,
method TEXT NOT NULL,
PRIMARY KEY (topic_id, claim_id)
);
CREATE INDEX topic_assignment_claim_idx ON topic_assignment (claim_id);
-- ---------------------------------------------------------------------------
-- Facets
-- ---------------------------------------------------------------------------
CREATE TABLE role (
claim_id BIGINT PRIMARY KEY REFERENCES claim(id) ON DELETE CASCADE,
person_id INT NOT NULL REFERENCES person(id) ON DELETE CASCADE,
organization_id INT REFERENCES organization(id),
party_id INT REFERENCES organization(id),
role TEXT NOT NULL,
level TEXT NOT NULL CHECK (level IN ('eu', 'federal', 'state', 'district', 'municipal', 'party', 'other')),
region TEXT,
start_date DATE,
end_date DATE
);
CREATE INDEX role_person_idx ON role (person_id);
CREATE INDEX role_party_idx ON role (party_id);
CREATE INDEX role_org_idx ON role (organization_id);
COMMENT ON TABLE role IS 'Mandates and functions. role = ''mp'' for members of a chamber (organization_id = chamber), otherwise the office title. end_date NULL = open.';
CREATE TABLE vote_event (
id BIGSERIAL PRIMARY KEY,
event_key TEXT NOT NULL UNIQUE,
chamber_id INT REFERENCES organization(id),
item_ref TEXT,
item_title TEXT NOT NULL,
stage TEXT,
voted_on DATE,
result TEXT CHECK (result IN ('accepted', 'rejected', 'unknown')),
roll_call BOOLEAN NOT NULL DEFAULT FALSE,
url TEXT,
protocol_url TEXT,
raw_text TEXT
);
CREATE INDEX vote_event_date_idx ON vote_event (voted_on DESC);
COMMENT ON TABLE vote_event IS 'A vote. Most Austrian votes are by standing up: only faction positions exist. roll_call = TRUE: individual positions exist.';
CREATE TABLE vote_position (
claim_id BIGINT PRIMARY KEY REFERENCES claim(id) ON DELETE CASCADE,
vote_event_id BIGINT NOT NULL REFERENCES vote_event(id) ON DELETE CASCADE,
organization_id INT REFERENCES organization(id),
person_id INT REFERENCES person(id),
party_id INT REFERENCES organization(id),
position TEXT NOT NULL CHECK (position IN ('for', 'against', 'abstain', 'absent')),
CHECK (organization_id IS NOT NULL OR person_id IS NOT NULL)
);
CREATE INDEX vote_position_event_idx ON vote_position (vote_event_id);
CREATE INDEX vote_position_person_idx ON vote_position (person_id) WHERE person_id IS NOT NULL;
COMMENT ON COLUMN vote_position.party_id IS 'For individual (roll-call) votes: the voter''s faction at the time.';
CREATE TABLE money_flow (
claim_id BIGINT PRIMARY KEY REFERENCES claim(id) ON DELETE CASCADE,
kind TEXT NOT NULL CHECK (kind IN ('donation', 'contract', 'government_ad', 'political_ad', 'subsidy',
'party_funding', 'party_ad', 'loan', 'side_income', 'sponsorship',
'other')),
payer_name TEXT,
payer_org_id INT REFERENCES organization(id),
payer_person_id INT REFERENCES person(id),
payee_name TEXT,
payee_org_id INT REFERENCES organization(id),
payee_person_id INT REFERENCES person(id),
amount NUMERIC(16, 2),
amount_category TEXT,
currency TEXT NOT NULL DEFAULT 'EUR',
paid_on DATE,
period TEXT,
reference TEXT,
category TEXT
);
CREATE INDEX money_flow_payer_idx ON money_flow (payer_org_id);
CREATE INDEX money_flow_payee_idx ON money_flow (payee_org_id);
CREATE INDEX money_flow_kind_idx ON money_flow (kind, paid_on DESC);
COMMENT ON TABLE money_flow IS 'Donations (Rechnungshof lists and party reports), public party funding, sponsoring, ads in party media (party_ad), loans, public contracts (BVergG core data), government advertising (RTR), political ads (Google/Meta archives). category = CPV code, ad medium category etc.';
CREATE TABLE event (
id BIGSERIAL PRIMARY KEY,
event_key TEXT NOT NULL UNIQUE,
kind TEXT NOT NULL CHECK (kind IN ('parliament_session', 'committee', 'press_conference', 'tv_appearance',
'interview', 'party_event', 'public_event', 'foreign_trip', 'meeting',
'hearing', 'government_meeting', 'other')),
title TEXT NOT NULL,
starts_at TIMESTAMPTZ,
ends_at TIMESTAMPTZ,
location_name TEXT,
country TEXT,
url TEXT,
description TEXT,
organization_id INT REFERENCES organization(id),
source_id INT REFERENCES source(id)
);
CREATE INDEX event_time_idx ON event (starts_at);
COMMENT ON TABLE event IS 'Something with a time and place (sessions, hearings, trips, meetings). Participation is a claim with an event_participant facet.';
CREATE TABLE event_participant (
claim_id BIGINT PRIMARY KEY REFERENCES claim(id) ON DELETE CASCADE,
event_id BIGINT NOT NULL REFERENCES event(id) ON DELETE CASCADE,
person_id INT REFERENCES person(id),
organization_id INT REFERENCES organization(id),
participation TEXT NOT NULL DEFAULT 'participant'
);
CREATE INDEX event_participant_event_idx ON event_participant (event_id);
CREATE TABLE statement (
claim_id BIGINT PRIMARY KEY REFERENCES claim(id) ON DELETE CASCADE,
person_id INT REFERENCES person(id),
context TEXT NOT NULL CHECK (context IN ('parliament_speech', 'interview', 'tv', 'radio', 'social_post',
'press_release', 'event_speech', 'op_ed', 'testimony', 'other')),
platform TEXT,
medium TEXT,
title TEXT,
said_at TIMESTAMPTZ,
excerpt TEXT,
url TEXT NOT NULL
);
CREATE INDEX statement_person_idx ON statement (person_id, said_at DESC);
CREATE TABLE legal_proceeding (
claim_id BIGINT PRIMARY KEY REFERENCES claim(id) ON DELETE CASCADE,
person_id INT REFERENCES person(id),
organization_id INT REFERENCES organization(id),
stage TEXT NOT NULL CHECK (stage IN ('allegation_reported', 'investigation', 'immunity_waiver_requested',
'immunity_waived', 'immunity_refused', 'indicted', 'trial',
'convicted_not_final', 'convicted_final', 'acquitted',
'proceedings_dropped', 'diversion')),
offense TEXT,
authority TEXT,
case_ref TEXT,
stage_date DATE
);
COMMENT ON COLUMN legal_proceeding.stage IS 'Only convicted_final (and not disputed) is a settled finding of guilt; all other stages carry "Es gilt die Unschuldsvermutung".';
-- ---------------------------------------------------------------------------
-- Retrieval (RAG)
-- ---------------------------------------------------------------------------
CREATE TABLE chunk (
id BIGSERIAL PRIMARY KEY,
document_id BIGINT REFERENCES document(id) ON DELETE CASCADE,
claim_id BIGINT REFERENCES claim(id) ON DELETE CASCADE,
chunk_index INT NOT NULL DEFAULT 0,
text TEXT NOT NULL,
lang TEXT DEFAULT 'de',
tsv TSVECTOR GENERATED ALWAYS AS (to_tsvector('german', text)) STORED,
embedding vector(1024),
embedding_model TEXT,
CHECK (document_id IS NOT NULL OR claim_id IS NOT NULL)
);
CREATE UNIQUE INDEX chunk_uniq ON chunk (COALESCE(document_id, 0), COALESCE(claim_id, 0), chunk_index);
CREATE INDEX chunk_tsv_idx ON chunk USING gin (tsv);
CREATE INDEX chunk_embedding_idx ON chunk USING hnsw (embedding vector_cosine_ops);
COMMENT ON TABLE chunk IS 'Text units for hybrid search (German FTS + bge-m3 embeddings); each links to a claim and/or document for citations.';
-- ---------------------------------------------------------------------------
-- Operations
-- ---------------------------------------------------------------------------
CREATE TABLE run (
id BIGSERIAL PRIMARY KEY,
adapter TEXT NOT NULL,
mode TEXT NOT NULL DEFAULT 'fetch',
started_at TIMESTAMPTZ NOT NULL DEFAULT now(),
finished_at TIMESTAMPTZ,
status TEXT NOT NULL DEFAULT 'running' CHECK (status IN ('running', 'ok', 'partial', 'error')),
stats JSONB NOT NULL DEFAULT '{}'::jsonb,
error TEXT
);
CREATE INDEX run_adapter_idx ON run (adapter, started_at DESC);
CREATE TABLE state (
adapter TEXT NOT NULL,
key TEXT NOT NULL,
value JSONB NOT NULL,
updated_at TIMESTAMPTZ NOT NULL DEFAULT now(),
PRIMARY KEY (adapter, key)
);
COMMENT ON TABLE state IS 'Cursors of incremental adapters (last date, last id...).';
CREATE TABLE app_user (
id SERIAL PRIMARY KEY,
external_subject TEXT NOT NULL UNIQUE,
email TEXT,
locale TEXT NOT NULL DEFAULT 'de',
excluded_source_ids INT[] NOT NULL DEFAULT '{}',
topic_ids INT[] NOT NULL DEFAULT '{}',
followed_person_ids INT[] NOT NULL DEFAULT '{}',
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
-- ---------------------------------------------------------------------------
-- Views
-- ---------------------------------------------------------------------------
CREATE VIEW person_identifier AS
SELECT p.id AS person_id,
max(i.value) FILTER (WHERE i.scheme = 'parlament') AS parlament_pad,
max(i.value) FILTER (WHERE i.scheme = 'wikidata') AS wikidata_qid,
max(i.value) FILTER (WHERE i.scheme = 'ep') AS ep_id
FROM person p LEFT JOIN identifier i ON i.entity_type = 'person' AND i.entity_id = p.id
GROUP BY p.id;
COMMENT ON VIEW person_identifier IS 'Convenience: the most common external ids of a person in columns.';
-- Activity status, derived from roles.
-- Parliament mandates/functions are authoritative (exact end dates) -> verified.
-- Other sources (mostly Wikidata) often lack end dates: an open-ended office of a living person
-- counts as current if it started within the last 15 years; flagged verified = false.
CREATE VIEW person_status AS
WITH current_roles AS (
SELECT r.person_id, r.level, r.role, r.party_id, r.start_date, c.created_by
FROM role r JOIN claim c ON c.id = r.claim_id
WHERE c.merged_into IS NULL AND (r.end_date IS NULL OR r.end_date >= current_date)
AND (c.created_by LIKE 'parlament%%' OR c.created_by LIKE 'europarl%%' OR r.end_date IS NOT NULL OR r.level = 'party'
OR (r.start_date IS NOT NULL AND r.start_date >= current_date - interval '15 years'))
)
SELECT p.id AS person_id,
CASE
WHEN p.death_date IS NOT NULL THEN 'deceased'
WHEN EXISTS (SELECT 1 FROM current_roles cr WHERE cr.person_id = p.id AND cr.level <> 'party') THEN 'active'
WHEN EXISTS (SELECT 1 FROM current_roles cr WHERE cr.person_id = p.id AND cr.level = 'party') THEN 'party_member'
ELSE 'former'
END AS status,
EXISTS (SELECT 1 FROM current_roles cr WHERE cr.person_id = p.id AND cr.level <> 'party'
AND (cr.created_by LIKE 'parlament%%' OR cr.created_by LIKE 'europarl%%')) AS verified,
(SELECT max(r.end_date) FROM role r JOIN claim c ON c.id = r.claim_id
WHERE r.person_id = p.id AND c.merged_into IS NULL AND r.level <> 'party') AS last_office_end,
(SELECT array_agg(DISTINCT cr.role) FROM current_roles cr WHERE cr.person_id = p.id AND cr.level <> 'party')
AS current_roles,
(SELECT array_agg(DISTINCT cr.party_id) FROM current_roles cr WHERE cr.person_id = p.id AND cr.party_id IS NOT NULL)
AS current_party_ids
FROM person p;
COMMENT ON VIEW person_status IS 'active = current office (verified = confirmed by Parliament/EP data); party_member = only party membership; former; deceased.';
CREATE VIEW claim_with_evidence AS
SELECT c.id AS claim_id, c.claim_type, c.summary_de, c.summary_en, c.occurred_at, c.valid_from, c.valid_to,
c.status, c.sensitive, p.full_name AS person_name, p.slug AS person_slug,
o.name AS organization_name, o.slug AS organization_slug,
jsonb_agg(jsonb_build_object('url', d.url, 'title', d.title, 'source', s.slug, 'source_name', s.name,
'published_at', d.published_at, 'quote', e.quote, 'stance', e.stance)
ORDER BY d.published_at) AS evidence
FROM claim c
LEFT JOIN person p ON p.id = c.person_id
LEFT JOIN organization o ON o.id = c.organization_id
JOIN claim_evidence e ON e.claim_id = c.id
JOIN document d ON d.id = e.document_id
JOIN source s ON s.id = d.source_id
WHERE c.merged_into IS NULL AND c.review_status = 'published'
GROUP BY c.id, p.id, o.id;
COMMENT ON VIEW claim_with_evidence IS 'Published claims with all evidence links - the easiest entry point for agents.';
-- Read-only role for agents / BI. Password set by `politrack migrate` from POLITRACK_READER_PASSWORD.
DO $$
BEGIN
IF NOT EXISTS (SELECT FROM pg_roles WHERE rolname = 'politrack_reader') THEN
CREATE ROLE politrack_reader LOGIN;
END IF;
END $$;
GRANT USAGE ON SCHEMA public TO politrack_reader;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO politrack_reader;
REVOKE SELECT ON app_user FROM politrack_reader;
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO politrack_reader;
backend/migrations/0002_seed.sql
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-- Seed data: core organizations (chambers, government, major parties), aliases, topics.
-- Sources are NOT seeded here: they are defined in code (SourceSpec) and synced by `politrack migrate`.
INSERT INTO organization (slug, name, short_name, kind, color) VALUES
('nationalrat', 'Nationalrat', 'NR', 'parliament', NULL),
('bundesrat', 'Bundesrat', 'BR', 'parliament', NULL),
('bundesregierung', 'Bundesregierung', 'BReg', 'government', NULL),
('europaeisches-parlament', 'Europäisches Parlament', 'EP', 'eu_institution', NULL),
('europaeische-kommission', 'Europäische Kommission', 'EK', 'eu_institution', NULL),
('oevp', 'Österreichische Volkspartei', 'ÖVP', 'party', '#62C3D0'),
('spoe', 'Sozialdemokratische Partei Österreichs', 'SPÖ', 'party', '#FF0000'),
('fpoe', 'Freiheitliche Partei Österreichs', 'FPÖ', 'party', '#0052FB'),
('gruene', 'Die Grünen – Die Grüne Alternative', 'GRÜNE', 'party', '#69B12E'),
('neos', 'NEOS – Das Neue Österreich und Liberales Forum', 'NEOS', 'party', '#E3257B'),
('kpoe', 'Kommunistische Partei Österreichs', 'KPÖ', 'party', '#AA0000'),
('bzoe', 'Bündnis Zukunft Österreich', 'BZÖ', 'party', '#FF8800'),
('team-stronach', 'Team Stronach für Österreich', 'STRONACH', 'party', '#F3E600'),
('jetzt', 'JETZT – Liste Pilz', 'JETZT', 'party', '#999999'),
('bier', 'Bierpartei', 'BIER', 'party', '#FFD700'),
('mfg', 'MFG – Österreich Menschen Freiheit Grundrechte', 'MFG', 'party', '#8B4513');
-- Wikidata ids so Wikidata party memberships merge with these rows.
INSERT INTO identifier (entity_type, entity_id, scheme, value, source_slug)
SELECT 'organization', o.id, 'wikidata', q.qid, 'seed'
FROM (VALUES ('oevp', 'Q186867'), ('spoe', 'Q179111'), ('fpoe', 'Q131692'), ('gruene', 'Q193178'),
('kpoe', 'Q161118'), ('bzoe', 'Q653833'), ('team-stronach', 'Q103748')) AS q(slug, qid)
JOIN organization o ON o.slug = q.slug;
-- Aliases used by the parliament API (party codes), Wikidata labels and news text.
INSERT INTO alias (entity_type, entity_id, alias, alias_norm)
SELECT 'organization', o.id, a.alias, lower(unaccent(a.alias))
FROM (VALUES
('oevp', 'ÖVP'), ('oevp', 'V'), ('oevp', 'Volkspartei'), ('oevp', 'Neue Volkspartei'), ('oevp', 'Österreichische Volkspartei'),
('spoe', 'SPÖ'), ('spoe', 'S'), ('spoe', 'Sozialdemokraten'), ('spoe', 'Sozialdemokratische Partei Österreichs'),
('fpoe', 'FPÖ'), ('fpoe', 'F'), ('fpoe', 'Freiheitliche'), ('fpoe', 'Freiheitliche Partei Österreichs'),
('gruene', 'GRÜNE'), ('gruene', 'G'), ('gruene', 'Grüne'), ('gruene', 'Die Grünen'), ('gruene', 'Die Grünen – Die Grüne Alternative'),
('neos', 'NEOS'), ('neos', 'N'), ('neos', 'NEOS – Das Neue Österreich und Liberales Forum'),
('kpoe', 'KPÖ'), ('kpoe', 'Kommunisten'), ('kpoe', 'Kommunistische Partei Österreichs'),
('bzoe', 'BZÖ'), ('bzoe', 'B'),
('team-stronach', 'STRONACH'), ('team-stronach', 'T'),
('jetzt', 'JETZT'), ('jetzt', 'PILZ'), ('jetzt', 'J'),
('bier', 'Bierpartei'), ('bier', 'Die Bierpartei'), ('bier', 'BIER'),
('mfg', 'MFG'), ('mfg', 'MFG Österreich'),
('nationalrat', 'NR'), ('nationalrat', 'Nationalrat'), ('bundesrat', 'BR'), ('bundesrat', 'Bundesrat'),
('europaeisches-parlament', 'Europäisches Parlament'), ('europaeisches-parlament', 'European Parliament'),
('europaeische-kommission', 'Europäische Kommission'), ('europaeische-kommission', 'European Commission')
) AS a(slug, alias)
JOIN organization o ON o.slug = a.slug
ON CONFLICT DO NOTHING;
-- The first 18 topics mirror the official topics (THEMEN) of the Austrian Parliament so
-- that parliament data maps 1:1; the rest are cross-cutting topics tagged by keywords.
INSERT INTO topic (slug, name_de, name_en, keywords) VALUES
('arbeit', 'Arbeit', 'Labour', '{Arbeit,Arbeitslos,Lohn,Gehalt,Kollektivvertrag,AMS}'),
('aussenpolitik', 'Außenpolitik', 'Foreign affairs', '{Außenpolitik,Neutralität,Botschaft,Ukraine,Russland,Israel,Gaza}'),
('bildung', 'Bildung', 'Education', '{Schule,Bildung,Lehrer,Kindergarten,Matura}'),
('budget-finanzen', 'Budget und Finanzen', 'Budget & finance', '{Budget,Steuer,Finanz,Schulden,Defizit}'),
('europaeische-union', 'Europäische Union', 'European Union', '{EU,Europäische Union,Brüssel,Europaparlament}'),
('familie-generationen', 'Familie und Generationen', 'Family & generations', '{Familie,Kinderbetreuung,Familienbeihilfe,Jugend,Senioren}'),
('frauen-gleichbehandlung', 'Frauen und Gleichbehandlung', 'Women & equal treatment', '{Frauen,Gleichstellung,Gleichbehandlung,Gewaltschutz,Femizid}'),
('gesundheit', 'Gesundheit und Ernährung', 'Health & nutrition', '{Gesundheit,Spital,Krankenhaus,Ärzt,Pandemie,Impf,Lebensmittel}'),
('medien', 'Information und Medien', 'Information & media', '{ORF,Medien,Presseförderung,Informationsfreiheit,Datenschutz,Digitalisierung,KI}'),
('inneres-recht', 'Inneres und Recht', 'Interior & justice', '{Polizei,Sicherheit,Kriminalität,Terror,Justiz,Gericht,Strafrecht,Staatsanwalt,WKStA}'),
('forschung', 'Innovation, Technologie und Forschung', 'Innovation, technology & research', '{Forschung,Wissenschaft,Universität,Innovation,Technologie}'),
('klima-umwelt-energie', 'Klima, Umwelt und Energie', 'Climate, environment & energy', '{Klima,Umwelt,CO2,Emission,Energie,Strom,Gas,Erneuerbar,Photovoltaik}'),
('kultur', 'Kultur', 'Culture', '{Kultur,Kunst,Theater,Museum}'),
('land-forstwirtschaft', 'Land- und Forstwirtschaft', 'Agriculture & forestry', '{Landwirtschaft,Bauern,Agrar,Forst,Wald}'),
('parlament-demokratie', 'Parlament und Demokratie', 'Parliament & democracy', '{Verfassung,Wahlrecht,Demokratie,Volksbegehren,Parlament}'),
('soziales', 'Soziales', 'Social affairs', '{Sozial,Pension,Sozialhilfe,Armut,Pflege}'),
('verkehr', 'Verkehr und Infrastruktur', 'Transport & infrastructure', '{Verkehr,Bahn,ÖBB,Straße,Autobahn,Tunnel}'),
('wirtschaft', 'Wirtschaft', 'Economy', '{Wirtschaft,Unternehmen,Industrie,Standort,Inflation,Teuerung}'),
('migration', 'Migration und Asyl', 'Migration & asylum', '{Asyl,Migration,Flüchtling,Integration,Abschiebung}'),
('transparenz-korruption', 'Transparenz und Korruption', 'Transparency & corruption', '{Korruption,Transparenz,Parteispende,Untersuchungsausschuss,Inserat,Postenschacher}'),
('landesverteidigung', 'Landesverteidigung', 'Defence', '{Bundesheer,Verteidigung,Sky Shield}'),
('wohnen', 'Wohnen', 'Housing', '{Wohnen,Miete,Wohnbau,Mietpreis}'),
('sport', 'Sport', 'Sports', '{Sport}'),
('konsumentenschutz', 'Konsumentenschutz', 'Consumer protection', '{Konsumentenschutz,Preise,Teuerung}');
backend/politrack/__init__.py
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Whitespace-only changes.
backend/politrack/api/__init__.py
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Whitespace-only changes.
backend/politrack/api/main.py
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"""Public read API (JSON). OpenAPI docs at /api/docs; schema at /api/openapi.json.
Conventions: every list endpoint takes limit/offset; claim-like endpoints take the source filter
(exclude_sources, min_trust) and topic/date filters; slugs identify persons, parties and organisations.
"""
from __future__ import annotations
from collections.abc import Iterator
from datetime import date
from typing import Annotated
from fastapi import Depends, FastAPI, Header, HTTPException, Query
from fastapi.middleware.cors import CORSMiddleware
from psycopg import Connection
from politrack import queries
from politrack.api import schemas as s
from politrack.config import get_settings
from politrack.db import connection
from politrack.queries import SourceFilter
app = FastAPI(
title="Politrack API",
version="0.2.0",
description="Evidence-backed information on Austrian politicians and parties. Every claim links to its sources.",
docs_url="/api/docs",
openapi_url="/api/openapi.json",
)
app.add_middleware(CORSMiddleware, allow_origins=get_settings().api_cors_origins, allow_methods=["GET", "POST"],
allow_headers=["*"])
def db() -> Iterator[Connection]:
with connection() as conn:
yield conn
def csv_list(value: str | None) -> list[str] | None:
items = [v.strip() for v in (value or "").split(",") if v.strip()]
return items or None
def source_filter(
exclude_sources: Annotated[str | None, Query(description="Comma-separated source slugs to ignore")] = None,
min_trust: Annotated[int, Query(ge=0, le=100, description="Ignore sources below this trust score")] = 0,
) -> SourceFilter:
return SourceFilter(exclude_sources=csv_list(exclude_sources) or [], min_trust=min_trust)
DB = Annotated[Connection, Depends(db)]
Sources = Annotated[SourceFilter, Depends(source_filter)]
Limit = Annotated[int, Query(ge=1, le=500)]
Offset = Annotated[int, Query(ge=0)]
def not_found(value, what: str):
if not value:
raise HTTPException(404, f"{what} not found")
return value
@app.get("/healthz", include_in_schema=False)
def healthz(conn: DB) -> dict:
conn.execute("SELECT 1")
return {"ok": True}
# -- reference data -----------------------------------------------------------------------
@app.get("/api/v1/stats", response_model=s.Stats)
def get_stats(conn: DB):
return queries.stats(conn)
@app.get("/api/v1/sources", response_model=list[s.Source])
def get_sources(conn: DB):
return queries.list_sources(conn)
@app.get("/api/v1/topics", response_model=list[s.Topic])
def get_topics(conn: DB):
return queries.list_topics(conn)
# -- parties & organisations ----------------------------------------------------------------
@app.get("/api/v1/parties", response_model=list[s.Party])
def get_parties(conn: DB):
return queries.list_parties(conn)
@app.get("/api/v1/parties/{slug}", response_model=s.PartyDetail)
def get_party(slug: str, conn: DB):
return not_found(queries.get_party(conn, slug), "party")
@app.get("/api/v1/organizations", response_model=list[s.OrganizationListItem])
def get_organizations(conn: DB, q: str | None = None, kind: str | None = None, limit: Limit = 50, offset: Offset = 0):
return queries.list_organizations(conn, q=q, kind=kind, limit=limit, offset=offset)
@app.get("/api/v1/organizations/{slug}", response_model=s.OrganizationDetail)
def get_organization(slug: str, conn: DB):
return not_found(queries.get_organization(conn, slug), "organization")
# -- persons --------------------------------------------------------------------------------
@app.get("/api/v1/persons", response_model=list[s.PersonListItem])
def get_persons(
conn: DB,
q: str | None = None,
party: str | None = None,
level: Annotated[str | None, Query(pattern="^(eu|federal|state|district|municipal|party|other)$")] = None,
status: Annotated[str, Query(pattern="^(active|former|party_member|deceased|all)$")] = "active",
limit: Limit = 50,
offset: Offset = 0,
):
return queries.list_persons(conn, q=q, party=party, level=level, status=None if status == "all" else status,
limit=limit, offset=offset)
@app.get("/api/v1/former", response_model=list[s.FormerPerson])
def get_former(conn: DB, party: str | None = None, limit: Limit = 50, offset: Offset = 0):
"""Former politicians, most recently in the news first."""
return queries.former_overview(conn, party=party, limit=limit, offset=offset)
@app.get("/api/v1/persons/{slug}", response_model=s.PersonDetail)
def get_person(slug: str, conn: DB):
return not_found(queries.get_person(conn, slug), "person")
@app.get("/api/v1/persons/{slug}/votes", response_model=list[s.PersonVote])
def get_person_votes(slug: str, conn: DB, topics: str | None = None, limit: Limit = 100, offset: Offset = 0):
return queries.person_votes(conn, slug, topics=csv_list(topics), limit=limit, offset=offset)
@app.get("/api/v1/persons/{slug}/network", response_model=s.Network)
def get_person_network(slug: str, conn: DB):
"""Organisations connected to the person (side jobs, careers, party, meetings) and their money flows."""
return queries.person_network(conn, slug)
# -- claims, timeline, calendar ----------------------------------------------------------------
@app.get("/api/v1/claims", response_model=list[s.Claim])
def get_claims(
conn: DB,
sources: Sources,
person: str | None = None,
party: str | None = None,
organization: str | None = None,
types: Annotated[str | None, Query(description="Comma-separated claim types")] = None,
topics: Annotated[str | None, Query(description="Comma-separated topic slugs")] = None,
since: date | None = None,
until: date | None = None,
q: str | None = None,
limit: Limit = 50,
offset: Offset = 0,
):
return queries.list_claims(conn, sources=sources, person=person, party=party, organization=organization,
claim_types=csv_list(types), topics=csv_list(topics), since=since, until=until, q=q,
limit=limit, offset=offset)
@app.get("/api/v1/timeline", response_model=list[s.TimelineBucket])
def get_timeline(conn: DB, sources: Sources, person: str | None = None, party: str | None = None):
return queries.timeline_histogram(conn, sources=sources, person=person, party=party)
@app.get("/api/v1/calendar", response_model=s.CalendarData)
def get_calendar(conn: DB, sources: Sources, start: date, end: date, person: str | None = None,
party: str | None = None, kinds: str | None = None):
if (end - start).days > 400:
raise HTTPException(400, "range too large (max 400 days)")
return queries.calendar(conn, sources=sources, start=start, end=end, person=person, party=party,
kinds=csv_list(kinds))
# -- money, social, wikipedia ---------------------------------------------------------------------
@app.get("/api/v1/money", response_model=list[s.MoneyFlow])
def get_money(conn: DB, sources: Sources, kinds: str | None = None, org: str | None = None, person: str | None = None,
q: str | None = None, since: date | None = None, until: date | None = None,
min_amount: float | None = None, limit: Limit = 50, offset: Offset = 0):
"""Donations, contracts, government ads, party funding, sponsoring, political ads."""
return queries.list_money(conn, sources=sources, kinds=csv_list(kinds), org=org, person=person, q=q, since=since,
until=until, min_amount=min_amount, limit=limit, offset=offset)
@app.get("/api/v1/money/summary", response_model=list[s.MoneySummaryRow])
def get_money_summary(conn: DB, kinds: str | None = None, since: date | None = None):
return queries.money_summary(conn, kinds=csv_list(kinds), since=since)
@app.get("/api/v1/social", response_model=list[s.SocialPost])
def get_social(conn: DB, sources: Sources, person: str | None = None, party: str | None = None,
platforms: str | None = None, limit: Limit = 50, offset: Offset = 0):
return queries.social_feed(conn, sources=sources, person=person, party=party, platforms=csv_list(platforms),
limit=limit, offset=offset)
@app.get("/api/v1/wiki-edits", response_model=list[s.WikiEdit])
def get_wiki_edits(conn: DB, limit: Limit = 100, offset: Offset = 0):
return queries.wiki_edits(conn, limit=limit, offset=offset)
# -- votes, search ------------------------------------------------------------------------------
@app.get("/api/v1/votes", response_model=list[s.VoteItem])
def get_votes(conn: DB, party: str | None = None, topics: str | None = None, roll_call: bool | None = None,
since: date | None = None, until: date | None = None, limit: Limit = 50, offset: Offset = 0):
return queries.list_votes(conn, party=party, topics=csv_list(topics), roll_call=roll_call, since=since,
until=until, limit=limit, offset=offset)
@app.get("/api/v1/votes/{vote_id}", response_model=s.VoteDetail)
def get_vote(vote_id: int, conn: DB):
return not_found(queries.vote_detail(conn, vote_id), "vote")
@app.get("/api/v1/search", response_model=list[s.SearchHit])
def get_search(conn: DB, sources: Sources, q: Annotated[str, Query(min_length=2)], since: date | None = None,
until: date | None = None, limit: Limit = 20):
return queries.search(conn, q, sources=sources, since=since, until=until, limit=limit)
# -- admin (POLITRACK_ADMIN_TOKEN) ------------------------------------------------------------------
def require_admin(authorization: Annotated[str | None, Header()] = None) -> str:
token = get_settings().admin_token
if not token or authorization != f"Bearer {token}":
raise HTTPException(401, "admin token required")
return "admin-api"
@app.get("/api/v1/admin/runs", response_model=list[s.Run], include_in_schema=False)
def get_runs(conn: DB, _: Annotated[str, Depends(require_admin)], limit: Limit = 50):
return queries.recent_runs(conn, limit=limit)
@app.get("/api/v1/review", response_model=list[s.PendingClaim], include_in_schema=False)
def get_review_queue(conn: DB, _: Annotated[str, Depends(require_admin)], limit: Limit = 50):
return queries.pending_claims(conn, limit=limit)
@app.post("/api/v1/review/{claim_id}", include_in_schema=False)
def post_review(claim_id: int, decision: Annotated[str, Query(pattern="^(published|rejected)$")], conn: DB,
reviewer: Annotated[str, Depends(require_admin)]) -> dict:
queries.set_review(conn, claim_id, decision, reviewer)
return {"ok": True}
backend/politrack/api/schemas.py
+535
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"""Response models: the API contract. `politrack openapi --ts ../web/src/lib/api-types.ts` turns them into
TypeScript types for the web app, so frontend and backend cannot silently drift apart."""
from __future__ import annotations
from datetime import date, datetime
from typing import Any, Literal
from pydantic import BaseModel, ConfigDict
ClaimType = Literal["role", "vote", "donation", "money_flow", "statement", "appearance", "meeting", "travel",
"side_job", "legal_proceeding", "lobbying", "media_mention", "career", "parliamentary_question",
"government_decision", "wiki_edit", "declaration", "ownership", "affiliation", "party_finance",
"other"]
PersonStatus = Literal["active", "former", "party_member", "deceased"]
class Model(BaseModel):
# Fields with defaults are always present in responses, so mark them required in the (serialization)
# schema - the generated TypeScript types then have no needless optional fields.
model_config = ConfigDict(from_attributes=True, json_schema_serialization_defaults_required=True)
class Stats(Model):
persons: int
active_persons: int
parties: int
claims: int
corroborated: int
pending_review: int
documents: int
vote_events: int
roll_call_votes: int
events: int
money_flows: int
last_update: datetime | None = None
class Source(Model):
slug: str
name: str
kind: str
homepage: str | None = None
license: str | None = None
access_method: str
default_trust: int
tos_notes: str | None = None
documents: int
class Topic(Model):
slug: str
name_de: str
name_en: str
class Evidence(Model):
url: str
title: str | None = None
source: str
source_name: str | None = None
source_kind: str | None = None
published_at: datetime | None = None
quote: str | None = None
stance: Literal["supports", "contradicts", "mentions"] = "supports"
archive_url: str | None = None
class MoneyFacet(Model):
kind: str
amount: float | None = None
amount_category: str | None = None
currency: str | None = None
paid_on: date | None = None
period: str | None = None
reference: str | None = None
category: str | None = None
payer_name: str | None = None
payee_name: str | None = None
class Claim(Model):
id: int
claim_type: ClaimType
summary_de: str
summary_en: str | None = None
occurred_at: datetime | None = None
valid_from: date | None = None
valid_to: date | None = None
status: Literal["reported", "corroborated", "disputed", "retracted"]
sensitive: bool
review_status: Literal["pending", "published", "rejected"]
data: dict[str, Any] = {}
person_slug: str | None = None
person_name: str | None = None
organization_slug: str | None = None
organization_short: str | None = None
organization_name: str | None = None
counterpart_slug: str | None = None
counterpart_name: str | None = None
counterpart_kind: str | None = None
counterpart_person_slug: str | None = None
counterpart_person_name: str | None = None
legal_stage: str | None = None
legal_offense: str | None = None
legal_authority: str | None = None
money: MoneyFacet | None = None
platform: str | None = None
topics: list[Topic] | None = None
evidence: list[Evidence]
source_count: int
class PartyRef(Model):
slug: str
short_name: str | None = None
color: str | None = None
class PersonListItem(Model):
slug: str
full_name: str
photo_url: str | None = None
status: PersonStatus
status_verified: bool
last_office_end: date | None = None
current_roles: list[str] | None = None
parties: list[PartyRef] | None = None
class RoleEvidence(Model):
url: str
source: str
class Role(Model):
role: str
level: str
region: str | None = None
start_date: date | None = None
end_date: date | None = None
body: str | None = None
body_slug: str | None = None
party_slug: str | None = None
party_short: str | None = None
party_color: str | None = None
claim_status: str
evidence: list[RoleEvidence] | None = None
class SocialAccountOut(Model):
platform: str
handle: str | None = None
url: str
verified: bool
class PersonDetail(Model):
slug: str
full_name: str
given_name: str | None = None
family_name: str | None = None
birth_date: date | None = None
death_date: date | None = None
photo_url: str | None = None
wikidata_qid: str | None = None
parlament_pad: str | None = None
ep_id: str | None = None
status: PersonStatus
status_verified: bool
last_office_end: date | None = None
roles: list[Role]
social_accounts: list[SocialAccountOut]
claim_counts: dict[str, int]
class FormerPerson(Model):
slug: str
full_name: str
photo_url: str | None = None
status: PersonStatus
last_office_end: date | None = None
last_role: str | None = None
latest_news: str | None = None
latest_news_at: datetime | None = None
latest_news_url: str | None = None
latest_career: str | None = None
class NetworkOrg(Model):
id: int
slug: str
name: str
kind: str
via: list[str]
label: str | None = None
money: dict[str, Any] | None = None
class Network(Model):
organizations: list[NetworkOrg]
class Party(Model):
slug: str
name: str
short_name: str | None = None
color: str | None = None
logo_url: str | None = None
active_officials: int = 0
total_people: int = 0
class PartyMember(Model):
slug: str
full_name: str
photo_url: str | None = None
role: str
level: str
region: str | None = None
body: str | None = None
class FormerMember(Model):
slug: str
full_name: str
last_office_end: date | None = None
last_mention: datetime | None = None
class MoneyByYear(Model):
year: int
kind: str
total: float | None = None
count: int
class Finance(Model):
data: dict[str, Any]
valid_from: date | None = None
class CountByPosition(Model):
position: str
count: int
class Dissenter(Model):
slug: str
full_name: str
dissenting_votes: int
class RelatedOrg(Model):
claim_type: str
slug: str
name: str
kind: str
class PartyDetail(Model):
slug: str
name: str
short_name: str | None = None
color: str | None = None
logo_url: str | None = None
kind: str
members: list[PartyMember]
former_members: list[FormerMember]
money_by_year: list[MoneyByYear]
finance: list[Finance]
vote_stats: list[CountByPosition]
dissent: list[Dissenter]
related: list[RelatedOrg]
class OrganizationListItem(Model):
slug: str
name: str
short_name: str | None = None
kind: str
paid: float | None = None
received: float | None = None
class OrgMoney(Model):
kind: str
direction: Literal["paid", "received"]
total: float | None = None
count: int
first: str | None = None
last: str | None = None
class Counterparty(Model):
slug: str
name: str
kind: str
money_kind: str
direction: Literal["paid_to", "received_from"]
total: float | None = None
count: int
class OrgPerson(Model):
slug: str
full_name: str
via: str
summary_de: str
class OrganizationDetail(Model):
slug: str
name: str
short_name: str | None = None
kind: str
parent_slug: str | None = None
parent_name: str | None = None
identifiers: dict[str, str] | None = None
money: list[OrgMoney]
counterparties: list[Counterparty]
people: list[OrgPerson]
class MoneyFlow(Model):
id: int
summary_de: str
summary_en: str | None = None
occurred_at: datetime | None = None
status: str
data: dict[str, Any] = {}
kind: str
amount: float | None = None
amount_category: str | None = None
currency: str | None = None
paid_on: date | None = None
period: str | None = None
reference: str | None = None
category: str | None = None
payer_name: str | None = None
payee_name: str | None = None
payer_slug: str | None = None
payer_kind: str | None = None
payee_slug: str | None = None
payee_kind: str | None = None
evidence: list[Evidence]
source_count: int
class MoneySummaryRow(Model):
kind: str
slug: str
name: str
org_kind: str
side: Literal["payer", "payee"]
total: float | None = None
count: int
class SocialPost(Model):
id: int
platform: str | None = None
said_at: datetime | None = None
excerpt: str | None = None
url: str
title: str | None = None
data: dict[str, Any] = {}
person_slug: str | None = None
person_name: str | None = None
org_slug: str | None = None
org_name: str | None = None
evidence: list[Evidence]
class WikiEdit(Model):
id: int
occurred_at: datetime | None = None
summary_de: str
summary_en: str | None = None
data: dict[str, Any] = {}
org_slug: str
org_name: str
person_slug: str | None = None
person_name: str | None = None
url: str | None = None
class TimelineBucket(Model):
month: str
claim_type: str
count: int
class Participant(Model):
slug: str
name: str
class CalendarEvent(Model):
id: int
kind: str
title: str
starts_at: datetime | None = None
ends_at: datetime | None = None
location_name: str | None = None
country: str | None = None
url: str | None = None
description: str | None = None
body: str | None = None
participants: list[Participant]
class DayCount(Model):
day: date
claim_type: str
count: int
class CalendarData(Model):
events: list[CalendarEvent]
days: list[DayCount]
class PartyPosition(Model):
party: str | None = None
slug: str
color: str | None = None
position: str
class Speech(Model):
url: str
title: str | None = None
class VoteItem(Model):
id: int
item_title: str
item_ref: str | None = None
stage: str | None = None
voted_on: date | None = None
result: str | None = None
url: str | None = None
protocol_url: str | None = None
roll_call: bool
raw_text: str | None = None
chamber: str
positions: list[PartyPosition] = []
individual_votes: int = 0
class PersonVote(Model):
id: int
item_title: str
item_ref: str | None = None
stage: str | None = None
voted_on: date | None = None
result: str | None = None
url: str | None = None
protocol_url: str | None = None
roll_call: bool
position: str
faction: str | None = None
chamber: str
individual: bool
dissent: bool
spoke: Speech | None = None
topics: list[str] | None = None
class IndividualVote(Model):
slug: str
full_name: str
position: str
faction: str | None = None
dissent: bool
class VoteDetail(Model):
id: int
item_title: str
item_ref: str | None = None
stage: str | None = None
voted_on: date | None = None
result: str | None = None
url: str | None = None
protocol_url: str | None = None
roll_call: bool
raw_text: str | None = None
chamber: str
positions: list[PartyPosition]
individual: list[IndividualVote]
class SearchEvidence(Model):
url: str
title: str | None = None
source: str
class SearchHit(Model):
id: int
text: str
claim_id: int | None = None
document_id: int | None = None
summary_de: str | None = None
claim_type: str | None = None
occurred_at: datetime | None = None
person_slug: str | None = None
person_name: str | None = None
organization_slug: str | None = None
document_url: str | None = None
document_title: str | None = None
document_date: datetime | None = None
evidence: list[SearchEvidence] | None = None
score: float
class Run(Model):
adapter: str
mode: str
status: str
started_at: datetime
finished_at: datetime | None = None
stats: dict[str, Any] = {}
error: str | None = None
class PendingClaim(Model):
id: int
claim_type: str
summary_de: str
occurred_at: datetime | None = None
full_name: str | None = None
evidence: list[dict[str, Any]] | None = None
backend/politrack/cli.py
+191
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@@ -0,0 +1,191 @@
"""`politrack` command line. Run `politrack --help` for all commands."""
from __future__ import annotations
import json
import logging
from datetime import datetime
from pathlib import Path
import typer
app = typer.Typer(help="Politrack command line", no_args_is_help=True)
sources_app = typer.Typer(help="Source specs and adapters")
app.add_typer(sources_app, name="sources")
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s: %(message)s")
def _params(values: list[str]) -> dict:
"""--param key=value (value parsed as JSON when possible)."""
out = {}
for item in values:
key, _, raw = item.partition("=")
try:
out[key] = json.loads(raw)
except json.JSONDecodeError:
out[key] = raw
return out
@app.command()
def migrate() -> None:
"""Apply SQL migrations, sync source specs and install the job-queue schema."""
from politrack.core.registry import sync_sources
from politrack.db import connection
from politrack.migrate import migrate as run_migrations
run_migrations()
with connection() as conn:
typer.echo(f"synced {sync_sources(conn)} sources")
installed = conn.execute("SELECT to_regclass('procrastinate_jobs') AS t").fetchone()["t"]
if not installed:
from politrack.worker import app as jobs
with jobs.open():
jobs.schema_manager.apply_schema()
@sources_app.command("list")
def sources_list() -> None:
"""List adapters, enrichers and their schedules."""
from politrack.core import registry
registry.load_builtin()
for name, cls in sorted({**registry.ADAPTERS, **registry.ENRICHERS}.items()):
typer.echo(f"{name:34} {cls.queue:7} {cls.schedule or 'manual':16} {cls.spec.slug:22} {cls.description}")
@sources_app.command("sync")
def sources_sync() -> None:
"""Upsert SourceSpecs into the database."""
from politrack.core.registry import sync_sources
from politrack.db import connection
with connection() as conn:
typer.echo(f"synced {sync_sources(conn)} sources")
@app.command("run")
def run_cmd(
name: str,
param: list[str] = typer.Option([], "--param", "-p", help="key=value, e.g. -p periods='[\"XXVIII\"]'"),
since: str = typer.Option(None, help="ISO date for incremental adapters"),
max_requests: int = typer.Option(None, help="Stop after N requests (testing)"),
) -> None:
"""Run one adapter or enricher now, e.g. `politrack run parlament.persons`."""
from politrack.core.runner import run
result = run(name, params=_params(param), since=datetime.fromisoformat(since) if since else None,
max_requests=max_requests)
typer.echo(json.dumps(result, indent=2, default=str))
@app.command()
def reparse(name: str, param: list[str] = typer.Option([], "--param", "-p")) -> None:
"""Re-run parse() on the archived responses of an adapter (after a parser fix, no network)."""
from politrack.core.runner import run
typer.echo(json.dumps(run(name, mode="reparse", params=_params(param)), indent=2, default=str))
@app.command()
def enrich() -> None:
"""Run all enrichers once (linking, events, legal, topics, roll calls, corroboration, embeddings)."""
from politrack.core import registry
from politrack.core.runner import run
registry.load_builtin()
for name in ("enrich.linker", "enrich.events", "enrich.legal", "enrich.topics", "enrich.roles",
"enrich.rollcall", "enrich.corroborate", "enrich.embed"):
typer.echo(f"{name}: {run(name)}")
@app.command()
def status(limit: int = 30) -> None:
"""Show recent runs."""
from politrack.db import connection
with connection() as conn:
for r in conn.execute("SELECT adapter, mode, status, started_at, finished_at, stats FROM run "
"ORDER BY id DESC LIMIT %s", (limit,)):
took = (r["finished_at"] - r["started_at"]).seconds if r["finished_at"] else "…"
typer.echo(f"{r['started_at']:%Y-%m-%d %H:%M} {r['adapter']:32} {r['status']:8} {took}s "
f"{json.dumps(r['stats'])[:120]}")
@app.command()
def review(
approve: list[int] = typer.Option([], help="Claim ids to publish"),
reject: list[int] = typer.Option([], help="Claim ids to reject"),
reviewer: str = typer.Option("cli", help="Your name, stored with the decision"),
) -> None:
"""List claims waiting for review (legal matters detected in headlines) or approve/reject them."""
from politrack import queries
from politrack.db import connection
with connection() as conn:
for claim_id in approve:
queries.set_review(conn, claim_id, "published", reviewer)
for claim_id in reject:
queries.set_review(conn, claim_id, "rejected", reviewer)
if approve or reject:
typer.echo(f"published {len(approve)}, rejected {len(reject)}")
return
for c in queries.pending_claims(conn, limit=100):
typer.echo(f"[{c['id']}] {c['occurred_at']:%Y-%m-%d} {c['full_name']}: {c['summary_de']}")
for ev in c["evidence"] or []:
typer.echo(f" {ev['title']} {ev['url']}")
@app.command()
def fixture(name: str, url: str, case: str, kind: str = "default", meta: str = "{}", method: str = "GET",
body: str = typer.Option(None, help="JSON request body for POST")) -> None:
"""Capture a live response as a golden-test fixture (tests/fixtures/<adapter>/<case>.*)."""
import httpx
from politrack.config import get_settings
out = Path(__file__).resolve().parent.parent / "tests" / "fixtures" / name
out.mkdir(parents=True, exist_ok=True)
resp = httpx.request(method, url, json=json.loads(body) if body else None, timeout=120, follow_redirects=True,
headers={"User-Agent": get_settings().user_agent})
resp.raise_for_status()
suffix = {"application/json": "json", "text/html": "html", "text/xml": "xml", "application/xml": "xml"}.get(
resp.headers.get("content-type", "").split(";")[0], "bin")
(out / f"{case}.{suffix}").write_bytes(resp.content)
(out / f"{case}.request.json").write_text(json.dumps(
{"url": url, "kind": kind, "meta": json.loads(meta), "method": method, "json": json.loads(body) if body else None,
"content_type": resp.headers.get("content-type", ""), "body_file": f"{case}.{suffix}"}, indent=2), encoding="utf-8")
typer.echo(f"saved {out / case}.* - now run: UPDATE_GOLDEN=1 pytest tests/test_golden.py -k {case}")
@app.command()
def openapi(json_out: Path = Path("openapi.json"), ts_out: Path = typer.Option(None, "--ts")) -> None:
"""Export the OpenAPI schema and (optionally) TypeScript types for the web app."""
from politrack.api.main import app as api_app
from politrack.openapi_ts import to_typescript
schema = api_app.openapi()
json_out.write_text(json.dumps(schema, indent=2, ensure_ascii=False), encoding="utf-8")
if ts_out:
ts_out.write_text(to_typescript(schema), encoding="utf-8")
typer.echo(f"wrote {json_out}" + (f" and {ts_out}" if ts_out else ""))
@app.command()
def api(host: str = "0.0.0.0", port: int = 8000) -> None:
import uvicorn
uvicorn.run("politrack.api.main:app", host=host, port=port, proxy_headers=True)
@app.command()
def mcp(host: str = "0.0.0.0", port: int = 8001) -> None:
"""Serve the MCP endpoint for AI agents (streamable HTTP at /mcp)."""
from politrack.mcp_server import serve
serve(host, port)
if __name__ == "__main__":
app()
backend/politrack/config.py
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from functools import lru_cache
from pathlib import Path
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
"""All settings come from environment variables prefixed POLITRACK_ (see .env.example)."""
model_config = SettingsConfigDict(env_prefix="POLITRACK_", env_file=".env", extra="ignore")
database_url: str = "postgresql://politrack:politrack@localhost:5432/politrack"
reader_password: str | None = None
# Crawling identity & politeness
user_agent: str = "PolitrackBot/0.2 (+https://github.com/your-user/politics-tracking; contact: admin@example.org)"
min_request_interval: float = 2.0
http_timeout: float = 60.0
# Raw archive (fetched responses, gzip, content-addressed)
raw_dir: Path = Path("/data/raw")
config_dir: Path = Path(__file__).resolve().parent.parent / "config"
# Parliament: legislative periods (GP) ingested in detail
parlament_periods: list[str] = ["XXVII", "XXVIII"]
# Embeddings via Ollama (optional)
ollama_url: str | None = None
embedding_model: str = "bge-m3"
# Optional credentials for sources that require them (adapters skip themselves when unset)
youtube_api_key: str | None = None
meta_ad_library_token: str | None = None
x_bearer_token: str | None = None
# Bulk sources: how far back to backfill on the first run
procurement_since: str = "2024-01-01"
ad_archive_since: str = "2023-01-01"
api_cors_origins: list[str] = ["http://localhost:3000"]
# Bearer token for moderation/admin endpoints. Empty = disabled (use the CLI).
admin_token: str | None = None
@lru_cache
def get_settings() -> Settings:
return Settings()
backend/politrack/core/__init__.py
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"""The adapter framework. Most adapter modules only need:
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, PersonRef, OrgRef, ...
"""
from politrack.core.adapter import Adapter, Enricher, Request, Response, RunContext
from politrack.core.registry import register, register_spec
from politrack.core.spec import SourceSpec
__all__ = ["Adapter", "Enricher", "Request", "Response", "RunContext", "SourceSpec", "register", "register_spec"]
backend/politrack/core/adapter.py
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"""Adapter / Enricher base classes and the request/response/context types they work with.
An Adapter turns one publisher's data into Records in two steps:
start(ctx) -> Request... entry points (lists, feeds, index pages)
parse(ctx, resp) -> Record | Request... PURE: no DB access, no network
The runner fetches requests (policy-checked, archived), calls parse() and hands records to the
Loader. See docs/contributing/adapters.md for a walkthrough.
"""
from __future__ import annotations
import hashlib
import json
import logging
from collections import Counter
from collections.abc import Iterable, Iterator
from dataclasses import dataclass, field
from datetime import datetime
from functools import cached_property
from typing import TYPE_CHECKING, Any, ClassVar
from bs4 import BeautifulSoup
from politrack.core.spec import SourceSpec
if TYPE_CHECKING:
from psycopg import Connection
from politrack.core.records import Record
SECRET_PARAMS = {"key", "api_key", "apikey", "token", "access_token"}
def redact_url(url: str) -> str:
"""Remove credentials from a URL before it is logged or stored."""
from urllib.parse import parse_qsl, urlencode, urlsplit, urlunsplit
parts = urlsplit(url)
query = [(k, "<redacted>" if k.lower() in SECRET_PARAMS else v) for k, v in parse_qsl(parts.query, keep_blank_values=True)]
return urlunsplit(parts._replace(query=urlencode(query)))
@dataclass(frozen=True)
class Request:
url: str
kind: str = "default" # parse() dispatch key
method: str = "GET"
params: dict[str, Any] | None = None
json: Any = None
headers: dict[str, str] | None = None
meta: dict[str, Any] = field(default_factory=dict, compare=False, hash=False)
conditional: bool = True # send If-None-Match / If-Modified-Since
skip_unchanged: bool = True # body + parser_version unchanged: follow-ups only
@property
def fingerprint(self) -> str:
raw = json.dumps([self.method, self.url, self.params or {}, self.json], sort_keys=True, default=str)
return hashlib.sha256(raw.encode()).hexdigest()[:32]
def describe(self) -> dict[str, Any]:
"""What gets stored in the archive index (secrets removed)."""
params = {k: ("<redacted>" if k.lower() in SECRET_PARAMS else v) for k, v in (self.params or {}).items()}
return {"kind": self.kind, "params": params or None, "json": self.json, "meta": self.meta}
@dataclass
class Response:
request: Request
status: int
url: str
headers: dict[str, str]
body: bytes
fetched_at: datetime
sha256: str
fetch_id: int | None = None
tdm_reserved: bool = False
from_archive: bool = False
@cached_property
def text(self) -> str:
encoding = "utf-8"
content_type = self.headers.get("content-type", "")
if "charset=" in content_type:
encoding = content_type.split("charset=", 1)[1].split(";")[0].strip() or "utf-8"
try:
return self.body.decode(encoding)
except (LookupError, UnicodeDecodeError):
return self.body.decode("utf-8", errors="replace")
def json(self) -> Any:
return json.loads(self.text, strict=False)
@cached_property
def soup(self) -> BeautifulSoup:
return BeautifulSoup(self.text, "html.parser")
@property
def meta(self) -> dict[str, Any]:
return self.request.meta
class StateStore:
"""Cursors of incremental adapters (persisted in the `state` table)."""
def __init__(self, conn: Connection | None, adapter: str) -> None:
self.conn = conn
self.adapter = adapter
self._local: dict[str, Any] = {}
def get(self, key: str, default: Any = None) -> Any:
if self.conn is None:
return self._local.get(key, default)
row = self.conn.execute("SELECT value FROM state WHERE adapter = %s AND key = %s",
(self.adapter, key)).fetchone()
return row["value"] if row else default
def set(self, key: str, value: Any) -> None:
if self.conn is None:
self._local[key] = value
return
from psycopg.types.json import Jsonb
self.conn.execute(
"""INSERT INTO state (adapter, key, value) VALUES (%s, %s, %s)
ON CONFLICT (adapter, key) DO UPDATE SET value = EXCLUDED.value, updated_at = now()""",
(self.adapter, key, Jsonb(value)),
)
@dataclass
class RunContext:
adapter: str
spec: SourceSpec
state: StateStore
stats: Counter = field(default_factory=Counter)
since: datetime | None = None
params: dict[str, Any] = field(default_factory=dict) # CLI/worker parameters, e.g. {"gp": "XXVIII"}
mode: str = "fetch" # fetch | reparse | test
conn: Connection | None = None # only for enrichers / the loader, never in parse()
response: Response | None = None # set by the runner while parsing
creates_persons: bool = False
log: logging.Logger = field(default_factory=lambda: logging.getLogger("politrack"))
class Adapter:
"""Base class for source adapters. Subclass, set the class attributes, implement start()/parse()."""
spec: ClassVar[SourceSpec]
name: ClassVar[str]
description: ClassVar[str] = ""
schedule: ClassVar[str | None] = None # cron, UTC; None = manual only
queue: ClassVar[str] = "scrape" # scrape | bulk | social | enrich
parser_version: ClassVar[int] = 1 # bump when parse() output changes -> `politrack reparse`
creates_persons: ClassVar[bool] = False # may this adapter create new person entities?
def start(self, ctx: RunContext) -> Iterable[Request]:
raise NotImplementedError
def parse(self, ctx: RunContext, response: Response) -> Iterator[Record | Request]:
raise NotImplementedError
class Enricher:
"""Derives records from data already in the database (linking, events, corroboration...)."""
spec: ClassVar[SourceSpec]
name: ClassVar[str]
description: ClassVar[str] = ""
schedule: ClassVar[str | None] = None
queue: ClassVar[str] = "enrich"
creates_persons: ClassVar[bool] = False
def run(self, ctx: RunContext) -> Iterable[Record] | None:
raise NotImplementedError
backend/politrack/core/archive.py
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"""Raw archive: every fetch is logged in the `fetch_log` table; bodies are stored gzip-compressed and
content-addressed (sha256) below POLITRACK_RAW_DIR when the source allows it.
Used for: conditional requests (ETag/Last-Modified), change detection (skip re-parsing identical
bodies), `politrack reparse` after parser fixes, and as an audit trail.
"""
from __future__ import annotations
import gzip
import hashlib
import os
from pathlib import Path
from typing import Any
from psycopg import Connection
from psycopg.types.json import Jsonb
from politrack.config import get_settings
class Archive:
def __init__(self, raw_dir: Path | None = None) -> None:
self.raw_dir = Path(raw_dir or get_settings().raw_dir)
# -- blobs ----------------------------------------------------------------------------
def _path(self, sha256: str) -> Path:
return self.raw_dir / sha256[:2] / f"{sha256}.gz"
def write_blob(self, body: bytes) -> str:
sha = hashlib.sha256(body).hexdigest()
path = self._path(sha)
if not path.exists():
path.parent.mkdir(parents=True, exist_ok=True)
tmp = path.with_suffix(f".tmp{os.getpid()}")
with gzip.open(tmp, "wb") as fh:
fh.write(body)
tmp.replace(path)
return sha
def read_blob(self, sha256: str) -> bytes | None:
path = self._path(sha256)
if not path.exists():
return None
with gzip.open(path, "rb") as fh:
return fh.read()
# -- index ----------------------------------------------------------------------------
def last(self, conn: Connection, request_fp: str) -> dict[str, Any] | None:
return conn.execute(
"""SELECT id, sha256, etag, last_modified, stored, parsed_sha256, parser_version, status, url,
content_type, tdm_reserved, fetched_at
FROM fetch_log WHERE request_fp = %s AND status IS NOT NULL AND status < 400
ORDER BY fetched_at DESC LIMIT 1""",
(request_fp,),
).fetchone()
def log(self, conn: Connection, *, adapter: str, source_id: int | None, request_fp: str, url: str, method: str,
request: dict, status: int | None, body: bytes | None, headers: dict[str, str] | None,
keep: bool, tdm_reserved: bool, error: str | None = None) -> tuple[int, str | None]:
sha = hashlib.sha256(body).hexdigest() if body is not None else None
stored = False
if body is not None and keep and not tdm_reserved:
self.write_blob(body)
stored = True
headers = headers or {}
row = conn.execute(
"""INSERT INTO fetch_log (adapter, source_id, request_fp, url, method, request, status, sha256, size,
content_type, etag, last_modified, stored, tdm_reserved, error)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) RETURNING id""",
(adapter, source_id, request_fp, url, method, Jsonb(request), status, sha,
len(body) if body is not None else None, headers.get("content-type"), headers.get("etag"),
headers.get("last-modified"), stored, tdm_reserved, error),
).fetchone()
return row["id"], sha
def mark_parsed(self, conn: Connection, fetch_id: int, sha256: str, parser_version: int) -> None:
conn.execute("UPDATE fetch_log SET parsed_sha256 = %s, parser_version = %s WHERE id = %s",
(sha256, parser_version, fetch_id))
def mark_error(self, conn: Connection, fetch_id: int, error: str) -> None:
conn.execute("UPDATE fetch_log SET error = %s WHERE id = %s", (error[:2000], fetch_id))
def latest_stored(self, conn: Connection, adapter: str) -> list[dict[str, Any]]:
"""Latest stored fetch per request of an adapter (input for `reparse`)."""
return conn.execute(
"""SELECT DISTINCT ON (request_fp) id, request_fp, url, method, request, status, sha256, fetched_at,
content_type, tdm_reserved
FROM fetch_log WHERE adapter = %s AND stored AND status < 400
ORDER BY request_fp, fetched_at DESC""",
(adapter,),
).fetchall()
backend/politrack/core/fetch.py
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"""The Fetcher: the only component that talks to the network. It enforces the crawling policy:
* honest User-Agent with contact address,
* robots.txt (cached per origin); exemptions only for documented APIs listed in SourceSpec.robots_exempt,
* per-host throttling (max of SourceSpec.min_interval and robots.txt crawl-delay),
* conditional requests (ETag / Last-Modified from the raw archive),
* retries with exponential back-off for 429/5xx, honouring Retry-After,
* TDM reservations (W3C TDMRep: `tdm-reservation` header, /.well-known/tdmrep.json, /tdmrep.json),
* archiving of raw bodies (unless SourceSpec.keep_raw is False or TDM is reserved).
"""
from __future__ import annotations
import logging
import threading
import time
from datetime import datetime, timezone
from urllib.parse import urlsplit
import httpx
from protego import Protego
from psycopg import Connection
from politrack.config import get_settings
from politrack.core.adapter import Request, Response, redact_url
from politrack.core.archive import Archive
from politrack.core.spec import SourceSpec
log = logging.getLogger(__name__)
RETRY_STATUS = {429, 500, 502, 503, 504}
class Disallowed(Exception):
"""robots.txt forbids fetching this URL."""
class Fetcher:
def __init__(self, archive: Archive | None = None, client: httpx.Client | None = None) -> None:
settings = get_settings()
self.user_agent = settings.user_agent
self.default_interval = settings.min_request_interval
self.archive = archive or Archive()
self.client = client or httpx.Client(
headers={"User-Agent": self.user_agent, "Accept-Language": "de-AT,de;q=0.9,en;q=0.5"},
timeout=settings.http_timeout,
follow_redirects=True,
)
self._robots: dict[str, Protego | None] = {}
self._tdm: dict[str, bool] = {}
self._last: dict[str, float] = {}
self._lock = threading.Lock()
# -- policy -------------------------------------------------------------------------
@staticmethod
def origin(url: str) -> str:
parts = urlsplit(url)
return f"{parts.scheme}://{parts.netloc}"
def robots(self, url: str) -> Protego | None:
origin = self.origin(url)
if origin not in self._robots:
try:
resp = self.client.get(f"{origin}/robots.txt")
self._robots[origin] = Protego.parse(resp.text) if resp.status_code == 200 else None
except httpx.HTTPError:
self._robots[origin] = None
return self._robots[origin]
def allowed(self, url: str, spec: SourceSpec) -> bool:
if any(url.startswith(prefix) for prefix in spec.robots_exempt):
return True
rules = self.robots(url)
return rules is None or rules.can_fetch(url, self.user_agent)
def tdm_reserved(self, url: str) -> bool:
origin = self.origin(url)
if origin not in self._tdm:
reserved = False
for path in ("/.well-known/tdmrep.json", "/tdmrep.json"):
try:
resp = self.client.get(origin + path)
except httpx.HTTPError:
continue
if resp.status_code == 200:
try:
rules = resp.json()
except ValueError:
continue
reserved = any(str(r.get("tdm-reservation")) == "1" for r in rules if isinstance(r, dict))
break
self._tdm[origin] = reserved
return self._tdm[origin]
def _throttle(self, url: str, spec: SourceSpec) -> None:
rules = self._robots.get(self.origin(url))
delay = rules.crawl_delay(self.user_agent) if rules else None
interval = max(spec.min_interval or self.default_interval, float(delay or 0))
host = urlsplit(url).netloc
with self._lock:
wait = self._last.get(host, 0) + interval - time.monotonic()
if wait > 0:
time.sleep(wait)
self._last[host] = time.monotonic()
# -- fetching ---------------------------------------------------------------------
def fetch(self, conn: Connection, req: Request, *, adapter: str, spec: SourceSpec, source_id: int | None,
attempts: int = 5) -> Response:
if not self.allowed(req.url, spec):
raise Disallowed(req.url)
last = self.archive.last(conn, req.fingerprint) if req.conditional else None
headers = dict(req.headers or {})
if last and last["stored"]:
if last["etag"]:
headers["If-None-Match"] = last["etag"]
if last["last_modified"]:
headers["If-Modified-Since"] = last["last_modified"]
resp: httpx.Response | None = None
for attempt in range(attempts):
self._throttle(req.url, spec)
try:
resp = self.client.request(req.method, req.url, params=req.params, json=req.json, headers=headers)
except httpx.TransportError as exc:
if attempt == attempts - 1:
raise
log.warning("transport error %s (%s), retrying", req.url, exc)
time.sleep(min(5 * 2 ** attempt, 120))
continue
if resp.status_code in RETRY_STATUS and attempt < attempts - 1:
retry_after = resp.headers.get("Retry-After", "")
time.sleep(min(float(retry_after) if retry_after.isdigit() else 5 * 2 ** attempt, 300))
continue
break
assert resp is not None
tdm = resp.headers.get("tdm-reservation") == "1" or self.tdm_reserved(req.url)
now = datetime.now(timezone.utc)
if resp.status_code == 304 and last:
body = self.archive.read_blob(last["sha256"]) or b""
return Response(request=req, status=200, url=last["url"], headers={"content-type": last["content_type"] or ""},
body=body, fetched_at=now, sha256=last["sha256"], fetch_id=last["id"],
tdm_reserved=last["tdm_reserved"], from_archive=True)
lowered = {k.lower(): v for k, v in resp.headers.items()}
fetch_id, sha = self.archive.log(
conn, adapter=adapter, source_id=source_id, request_fp=req.fingerprint, url=redact_url(str(resp.url)),
method=req.method, request=req.describe(), status=resp.status_code, body=resp.content, headers=lowered,
keep=spec.keep_raw, tdm_reserved=tdm,
)
conn.commit()
resp.raise_for_status()
return Response(request=req, status=resp.status_code, url=redact_url(str(resp.url)), headers=lowered, body=resp.content,
fetched_at=now, sha256=sha or "", fetch_id=fetch_id, tdm_reserved=tdm)
def close(self) -> None:
self.client.close()
backend/politrack/core/loader.py
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"""The Loader: the only code that writes canonical rows.
Invariants enforced here (not in adapters):
* no claim without evidence; claims whose person cannot be resolved are skipped (and counted),
* full text is kept only for sources with store_fulltext and responses without TDM reservation,
* claim identity is computed from *resolved* entity ids + type-specific fields, so the same fact
from different sources becomes one claim with several evidence rows ("corroborated"),
* claims marked `review=True` start as review_status='pending' (hidden until a human approves),
* persons are only created by adapters with creates_persons=True.
"""
from __future__ import annotations
from datetime import date, datetime
from decimal import Decimal, InvalidOperation
from typing import Any
from psycopg import Connection
from psycopg.types.json import Jsonb
from politrack.core.adapter import RunContext
from politrack.core.records import (
Claim,
Document,
Event,
Evidence,
Legal,
Money,
OrgRecord,
OrgRef,
Participation,
PersonRecord,
PersonRef,
Role,
SocialAccount,
Statement,
VoteEvent,
VotePosition,
)
from politrack.core.resolve import Resolver
from politrack.text import excerpt, fingerprint, make_slug, normalize, normalize_org_name, strip_titles
# Source policy is read from the DB once per process (synced from SourceSpecs).
_SOURCES: dict[str, dict[str, Any]] = {}
def source_row(conn: Connection, slug: str) -> dict[str, Any]:
if slug not in _SOURCES:
row = conn.execute("SELECT id, store_fulltext, kind FROM source WHERE slug = %s", (slug,)).fetchone()
if row is None:
raise KeyError(f"unknown source {slug!r}: run `politrack sources sync`")
_SOURCES[slug] = row
return _SOURCES[slug]
class Loader:
def __init__(self, conn: Connection, ctx: RunContext) -> None:
self.conn = conn
self.ctx = ctx
self.resolver = Resolver(conn)
# -- dispatch ---------------------------------------------------------------------
def load(self, record: Any) -> int | None:
if isinstance(record, Claim):
return self.claim(record)
if isinstance(record, Document):
return self.document(record.evidence)
if isinstance(record, PersonRecord):
return self.person(record)
if isinstance(record, OrgRecord):
return self.organization(record)
if isinstance(record, SocialAccount):
return self.social_account(record)
if isinstance(record, VoteEvent):
return self.vote_event(record)
if isinstance(record, Event):
return self.event(record)
raise TypeError(f"unknown record type {type(record).__name__}")
# -- documents --------------------------------------------------------------------
def document(self, ev: Evidence) -> int:
slug = ev.source or self.ctx.spec.slug
src = source_row(self.conn, slug)
response = self.ctx.response
tdm = bool(response and response.tdm_reserved)
full_text = ev.full_text if (src["store_fulltext"] and not tdm) else None
short = None if tdm else (excerpt(ev.excerpt, 400) if ev.excerpt else None)
# Link the document to the raw response only if it *is* that response (not e.g. a protocol it cites).
fetch_id = response.fetch_id if response and ev.url in (response.url, response.request.url) else None
row = self.conn.execute(
"""
INSERT INTO document (source_id, url, title, doc_type, published_at, excerpt, full_text, fetch_id, meta)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (url) DO UPDATE SET
title = COALESCE(EXCLUDED.title, document.title),
published_at = COALESCE(EXCLUDED.published_at, document.published_at),
excerpt = COALESCE(EXCLUDED.excerpt, document.excerpt),
full_text = COALESCE(EXCLUDED.full_text, document.full_text),
fetch_id = COALESCE(EXCLUDED.fetch_id, document.fetch_id),
meta = document.meta || EXCLUDED.meta,
retrieved_at = now()
RETURNING id
""",
(src["id"], ev.url, ev.title, ev.doc_type, ev.published_at, short, full_text, fetch_id,
Jsonb({**ev.meta, **({"tdm_reserved": True} if tdm else {})})),
).fetchone()
self.ctx.stats["documents"] += 1
return row["id"]
# -- entities ---------------------------------------------------------------------
def person(self, rec: PersonRecord) -> int | None:
person_id = self.resolver.person_by_ids(rec.ref.ids)
if person_id is None and rec.match_by_name:
person_id = self.resolver.person_by_name(rec.full_name)
if person_id is None:
if not self.ctx.creates_persons:
self.ctx.stats["persons_not_created"] += 1
return None
base = make_slug(rec.given_name or "", rec.family_name or strip_titles(rec.full_name)) or "person"
slug, n = base, 1
while self.conn.execute("SELECT 1 FROM person WHERE slug = %s", (slug,)).fetchone():
n += 1
slug = f"{base}-{n}"
person_id = self.conn.execute(
"""INSERT INTO person (slug, full_name, given_name, family_name, honorific_prefix, honorific_suffix,
birth_date, death_date, gender, photo_url)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) RETURNING id""",
(slug, rec.full_name, rec.given_name, rec.family_name, rec.honorific_prefix, rec.honorific_suffix,
rec.birth_date, rec.death_date, rec.gender, rec.photo_url),
).fetchone()["id"]
self.ctx.stats["persons_created"] += 1
else:
self.conn.execute(
"""UPDATE person SET full_name = %s,
given_name = COALESCE(%s, given_name), family_name = COALESCE(%s, family_name),
honorific_prefix = COALESCE(%s, honorific_prefix), honorific_suffix = COALESCE(%s, honorific_suffix),
birth_date = COALESCE(%s, birth_date), death_date = COALESCE(%s, death_date),
gender = COALESCE(%s, gender), photo_url = COALESCE(%s, photo_url), updated_at = now()
WHERE id = %s""",
(rec.full_name, rec.given_name, rec.family_name, rec.honorific_prefix, rec.honorific_suffix,
rec.birth_date, rec.death_date, rec.gender, rec.photo_url, person_id),
)
for scheme, value in rec.ref.ids.items():
if value:
self.conn.execute(
"""INSERT INTO identifier (entity_type, entity_id, scheme, value, source_slug)
VALUES ('person', %s, %s, %s, %s) ON CONFLICT DO NOTHING""",
(person_id, scheme, str(value), self.ctx.spec.slug),
)
names = {rec.full_name, strip_titles(rec.full_name), *rec.aliases}
if rec.given_name and rec.family_name:
names.add(f"{rec.given_name} {rec.family_name}")
for name in names:
if name:
self.conn.execute(
"""INSERT INTO alias (entity_type, entity_id, alias, alias_norm) VALUES ('person', %s, %s, %s)
ON CONFLICT DO NOTHING""",
(person_id, name, normalize(strip_titles(name))),
)
self.ctx.stats["persons"] += 1
return person_id
def organization(self, rec: OrgRecord) -> int | None:
org_id = self.resolver.org(rec.ref)
if org_id is None:
return None
if rec.color:
self.conn.execute("UPDATE organization SET color = COALESCE(color, %s) WHERE id = %s", (rec.color, org_id))
if rec.parent:
parent = self.resolver.org(rec.parent)
if parent and parent != org_id:
self.conn.execute("UPDATE organization SET parent_id = %s WHERE id = %s", (parent, org_id))
self.resolver.add_org_aliases(org_id, list(rec.aliases))
return org_id
def social_account(self, rec: SocialAccount) -> int | None:
person_id = self.resolver.person(rec.person)
org_id = self.resolver.org(rec.org) if rec.org else None # OrgRef.create decides
if person_id is None and org_id is None:
self.ctx.stats["social_unresolved"] += 1
return None
row = self.conn.execute(
"""INSERT INTO social_account (person_id, organization_id, platform, handle, url, verified, source_slug)
VALUES (%s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (platform, url) DO UPDATE SET
handle = COALESCE(EXCLUDED.handle, social_account.handle),
verified = social_account.verified OR EXCLUDED.verified,
person_id = COALESCE(social_account.person_id, EXCLUDED.person_id),
organization_id = COALESCE(social_account.organization_id, EXCLUDED.organization_id)
RETURNING id""",
(person_id, org_id, rec.platform.lower(), rec.handle, rec.url, rec.verified, self.ctx.spec.slug),
).fetchone()
self.ctx.stats["social_accounts"] += 1
return row["id"]
# -- standalone facets ------------------------------------------------------------
def vote_event(self, rec: VoteEvent) -> int:
chamber = self.resolver.org(rec.chamber, create=False) if rec.chamber else None
row = self.conn.execute(
"""INSERT INTO vote_event (event_key, chamber_id, item_ref, item_title, stage, voted_on, result, roll_call,
url, protocol_url, raw_text)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (event_key) DO UPDATE SET result = EXCLUDED.result, raw_text = EXCLUDED.raw_text,
roll_call = EXCLUDED.roll_call, item_title = EXCLUDED.item_title,
protocol_url = COALESCE(EXCLUDED.protocol_url, vote_event.protocol_url)
RETURNING id""",
(rec.key, chamber, rec.item_ref, rec.title, rec.stage, rec.voted_on, rec.result, rec.roll_call, rec.url,
rec.protocol_url, rec.raw_text),
).fetchone()
self.ctx.stats["vote_events"] += 1
return row["id"]
def event(self, rec: Event) -> int:
body = self.resolver.org(rec.body, create=False) if rec.body else None
source_id = source_row(self.conn, self.ctx.spec.slug)["id"]
row = self.conn.execute(
"""INSERT INTO event (event_key, kind, title, starts_at, ends_at, location_name, country, url, description,
organization_id, source_id)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (event_key) DO UPDATE SET title = EXCLUDED.title,
starts_at = COALESCE(EXCLUDED.starts_at, event.starts_at), ends_at = EXCLUDED.ends_at,
location_name = COALESCE(EXCLUDED.location_name, event.location_name),
description = COALESCE(EXCLUDED.description, event.description)
RETURNING id""",
(rec.key, rec.kind, rec.title, rec.starts_at, rec.ends_at, rec.location, rec.country, rec.url,
rec.description, body, source_id),
).fetchone()
self.ctx.stats["events"] += 1
return row["id"]
# -- claims -----------------------------------------------------------------------
def claim(self, c: Claim) -> int | None:
if not c.evidence:
raise ValueError("a claim needs at least one piece of evidence")
person_id = self.resolver.person(c.person)
if c.person is not None and person_id is None:
self.ctx.stats["unresolved_person"] += 1
self.ctx.log.debug("unresolved person %s for %s", c.person, c.summary_de[:80])
return None
org_id = self.resolver.org(c.org) if c.org else None
cp_person = self.resolver.person(c.counterpart_person)
cp_org = self.resolver.org(c.counterpart_org) if c.counterpart_org else None
if person_id is None and org_id is None and cp_org is None:
self.ctx.stats["claims_without_subject"] += 1
return None
fp = fingerprint(*self.identity(c, person_id, org_id, cp_org))
row = self.conn.execute(
"""
INSERT INTO claim (claim_type, fingerprint, person_id, organization_id, counterpart_person_id,
counterpart_org_id, occurred_at, valid_from, valid_to, summary_de, summary_en,
data, sensitive, review_status, created_by)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (fingerprint) DO UPDATE SET
summary_de = EXCLUDED.summary_de,
summary_en = COALESCE(EXCLUDED.summary_en, claim.summary_en),
valid_to = COALESCE(EXCLUDED.valid_to, claim.valid_to),
occurred_at = COALESCE(claim.occurred_at, EXCLUDED.occurred_at),
data = claim.data || EXCLUDED.data,
sensitive = claim.sensitive OR EXCLUDED.sensitive,
updated_at = now()
RETURNING id, (xmax = 0) AS inserted
""",
(c.claim_type, fp, person_id, org_id, cp_person, cp_org, c.occurred_at, c.valid_from, c.valid_to,
c.summary_de, c.summary_en, Jsonb(c.data), c.sensitive or c.claim_type == "legal_proceeding",
"pending" if c.review else "published", self.ctx.adapter),
).fetchone()
claim_id = row["id"]
self.ctx.stats["claims_new" if row["inserted"] else "claims_updated"] += 1
for ev in c.evidence:
doc_id = self.document(ev)
self.conn.execute(
"""INSERT INTO claim_evidence (claim_id, document_id, stance, quote, locator, extracted_by, confidence)
VALUES (%s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (claim_id, document_id, locator) DO UPDATE SET
quote = COALESCE(EXCLUDED.quote, claim_evidence.quote),
confidence = GREATEST(claim_evidence.confidence, EXCLUDED.confidence)""",
(claim_id, doc_id, ev.stance, ev.quote and excerpt(ev.quote, 600), ev.locator, self.ctx.adapter,
ev.confidence),
)
for topic in c.topics:
self.assign_topic(claim_id, topic)
if c.facet is not None:
self.facet(claim_id, c, person_id, org_id)
self.refresh_status(claim_id)
return claim_id
def identity(self, c: Claim, person_id: int | None, org_id: int | None, cp_org: int | None) -> tuple:
"""Semantic identity of a claim (see docs/architecture/01-design-from-scratch.md §3.3)."""
if c.key is not None:
return (c.claim_type, "key", *c.key)
f = c.facet
if isinstance(f, Role):
body = self.resolver.org(f.body) if f.body else cp_org
return ("role", person_id, body, normalize(f.role), f.start)
if isinstance(f, VotePosition):
return ("vote", f.event_key, person_id, org_id)
if isinstance(f, Money):
def side(ref: Any, name: str | None) -> Any:
if isinstance(ref, PersonRef):
return ("p", self.resolver.person(ref))
if isinstance(ref, OrgRef):
return ("o", self.resolver.org(ref))
return ("n", normalize_org_name(name or ""))
return ("money", f.kind, side(f.payer, f.payer_name), side(f.payee, f.payee_name), _amount(f.amount),
f.paid_on, f.period, f.reference)
if isinstance(f, Statement):
return ("statement", person_id, org_id, f.url)
if isinstance(f, Participation):
return ("participation", f.event_key, person_id, org_id)
if c.claim_type == "media_mention":
return ("mention", c.evidence[0].url, person_id, org_id)
raise ValueError(f"claim of type {c.claim_type} needs an explicit key")
def facet(self, claim_id: int, c: Claim, person_id: int | None, org_id: int | None) -> None:
f = c.facet
if isinstance(f, Role):
body = self.resolver.org(f.body) if f.body else None
party = self.resolver.org(f.party) if f.party else None
self.conn.execute(
"""INSERT INTO role (claim_id, person_id, organization_id, party_id, role, level, region, start_date, end_date)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (claim_id) DO UPDATE SET end_date = COALESCE(EXCLUDED.end_date, role.end_date),
party_id = COALESCE(EXCLUDED.party_id, role.party_id), region = COALESCE(EXCLUDED.region, role.region),
organization_id = COALESCE(EXCLUDED.organization_id, role.organization_id)""",
(claim_id, person_id, body, party, f.role, f.level, f.region, f.start, f.end),
)
elif isinstance(f, VotePosition):
event = self.conn.execute(
"""SELECT ve.id, ve.voted_on, o.slug AS chamber FROM vote_event ve
LEFT JOIN organization o ON o.id = ve.chamber_id WHERE ve.event_key = %s""",
(f.event_key,),
).fetchone()
if event is None:
raise ValueError(f"vote event {f.event_key} must be loaded before its positions")
party = self.resolver.org(f.party) if f.party else None
if person_id is not None and party is None and event["chamber"]:
# individual (roll-call) vote: remember the voter's faction on that day (dissent detection)
party = self.resolver.faction_of(person_id, event["chamber"], event["voted_on"])
self.conn.execute(
"""INSERT INTO vote_position (claim_id, vote_event_id, organization_id, person_id, party_id, position)
VALUES (%s, %s, %s, %s, %s, %s)
ON CONFLICT (claim_id) DO UPDATE SET position = EXCLUDED.position,
party_id = COALESCE(EXCLUDED.party_id, vote_position.party_id)""",
(claim_id, event["id"], org_id if person_id is None else None, person_id, party, f.position),
)
elif isinstance(f, Money):
payer_org = self.resolver.org(f.payer) if isinstance(f.payer, OrgRef) else None
payee_org = self.resolver.org(f.payee) if isinstance(f.payee, OrgRef) else None
payer_person = self.resolver.person(f.payer) if isinstance(f.payer, PersonRef) else None
payee_person = self.resolver.person(f.payee) if isinstance(f.payee, PersonRef) else None
self.conn.execute(
"""INSERT INTO money_flow (claim_id, kind, payer_name, payer_org_id, payer_person_id, payee_name,
payee_org_id, payee_person_id, amount, amount_category, currency, paid_on,
period, reference, category)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (claim_id) DO UPDATE SET amount = EXCLUDED.amount,
payer_org_id = COALESCE(EXCLUDED.payer_org_id, money_flow.payer_org_id),
payee_org_id = COALESCE(EXCLUDED.payee_org_id, money_flow.payee_org_id)""",
(claim_id, f.kind, f.payer_name, payer_org, payer_person, f.payee_name, payee_org, payee_person,
_amount(f.amount), f.amount_category, f.currency, f.paid_on, f.period, f.reference, f.category),
)
elif isinstance(f, Participation):
event = self.conn.execute("SELECT id FROM event WHERE event_key = %s", (f.event_key,)).fetchone()
if event is None:
raise ValueError(f"event {f.event_key} must be loaded before participations")
self.conn.execute(
"""INSERT INTO event_participant (claim_id, event_id, person_id, organization_id, participation)
VALUES (%s, %s, %s, %s, %s) ON CONFLICT (claim_id) DO NOTHING""",
(claim_id, event["id"], person_id, org_id, f.participation),
)
elif isinstance(f, Statement):
self.conn.execute(
"""INSERT INTO statement (claim_id, person_id, context, platform, medium, title, said_at, excerpt, url)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s) ON CONFLICT (claim_id) DO UPDATE SET
excerpt = COALESCE(EXCLUDED.excerpt, statement.excerpt)""",
(claim_id, person_id, f.context, f.platform, f.medium, f.title, f.said_at,
f.excerpt and excerpt(f.excerpt, 600), f.url),
)
elif isinstance(f, Legal):
self.conn.execute(
"""INSERT INTO legal_proceeding (claim_id, person_id, organization_id, stage, offense, authority, case_ref,
stage_date)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (claim_id) DO UPDATE SET stage = EXCLUDED.stage,
offense = COALESCE(EXCLUDED.offense, legal_proceeding.offense),
authority = COALESCE(EXCLUDED.authority, legal_proceeding.authority),
case_ref = COALESCE(EXCLUDED.case_ref, legal_proceeding.case_ref)""",
(claim_id, person_id, org_id, f.stage, f.offense, f.authority, f.case_ref, f.stage_date),
)
# -- helpers ----------------------------------------------------------------------
def assign_topic(self, claim_id: int, topic_name: str, method: str | None = None, confidence: float = 1.0) -> None:
norm = normalize(topic_name)
row = self.conn.execute(
"SELECT id FROM topic WHERE lower(unaccent(name_de)) = %s OR slug = %s", (norm, topic_name)
).fetchone()
if row is None:
row = self.conn.execute(
"INSERT INTO topic (slug, name_de, name_en) VALUES (%s, %s, %s) ON CONFLICT (slug) DO UPDATE "
"SET name_de = topic.name_de RETURNING id",
(make_slug(topic_name), topic_name, topic_name),
).fetchone()
self.conn.execute(
"INSERT INTO topic_assignment (topic_id, claim_id, confidence, method) VALUES (%s, %s, %s, %s) "
"ON CONFLICT DO NOTHING",
(row["id"], claim_id, confidence, method or self.ctx.adapter),
)
def refresh_status(self, claim_id: int) -> None:
"""corroborated = backed by >= 2 different sources; disputed = any contradicting evidence."""
self.conn.execute(
"""
UPDATE claim SET status = CASE
WHEN status = 'retracted' THEN status
WHEN EXISTS (SELECT 1 FROM claim_evidence e WHERE e.claim_id = claim.id AND e.stance = 'contradicts')
THEN 'disputed'
WHEN (SELECT count(DISTINCT d.source_id) FROM claim_evidence e JOIN document d ON d.id = e.document_id
WHERE e.claim_id = claim.id AND e.stance IN ('supports', 'mentions')) >= 2 THEN 'corroborated'
ELSE 'reported' END
WHERE id = %s
""",
(claim_id,),
)
def _amount(value: Any) -> Decimal | None:
if value is None or value == "":
return None
try:
return Decimal(str(value)).quantize(Decimal("0.01"))
except InvalidOperation:
return None
def as_date(value: Any) -> date | None:
if isinstance(value, datetime):
return value.date()
if isinstance(value, date):
return value
return None
backend/politrack/core/records.py
+265
View File
@@ -0,0 +1,265 @@
"""Typed records: the only way adapters and enrichers hand data to the Loader.
Records are plain dataclasses so parsers stay pure and testable (see tests/golden). They refer to
entities through PersonRef/OrgRef, which the Loader resolves (identifiers first, then hints, then
names). Data minimisation is enforced by schema: there is, for example, no address field anywhere,
so a parser cannot store a donor's street address even by accident.
"""
from __future__ import annotations
from dataclasses import dataclass, field, fields, is_dataclass
from datetime import date, datetime
from decimal import Decimal
from typing import Any, Literal, Union
# --------------------------------------------------------------------------------------------
# References to entities
# --------------------------------------------------------------------------------------------
@dataclass
class PersonRef:
"""How a record points at a person.
ids: strong identifiers, e.g. {"parlament": "2339"} or {"wikidata": "Q123"}
name: display/full name; used for alias matching if no id matches
hints: resolution strategies, e.g.
{"surname_in_body": "nationalrat", "on": date(...)} -> roll-call surname lists
{"office": "Bundesministerin für Justiz", "on": date(...)} -> office holder on a date
"""
ids: dict[str, str] = field(default_factory=dict)
name: str | None = None
hints: dict[str, Any] = field(default_factory=dict)
@dataclass
class OrgRef:
"""How a record points at an organization. `slug` addresses seeded orgs (e.g. "nationalrat")."""
ids: dict[str, str] = field(default_factory=dict)
name: str | None = None
short_name: str | None = None
kind: str = "other"
slug: str | None = None
create: bool = True
# --------------------------------------------------------------------------------------------
# Evidence & documents
# --------------------------------------------------------------------------------------------
DocType = Literal["article", "press_release", "api_record", "protocol", "social_post", "register_entry",
"web_page", "pdf", "dataset_row"]
@dataclass
class Evidence:
url: str
title: str | None = None
doc_type: str = "web_page"
published_at: datetime | date | str | None = None
excerpt: str | None = None
full_text: str | None = None
quote: str | None = None
locator: str = ""
stance: Literal["supports", "contradicts", "mentions"] = "supports"
confidence: float = 1.0
source: str | None = None # defaults to the adapter's source
meta: dict[str, Any] = field(default_factory=dict)
@dataclass
class Document:
"""A document without a claim yet (e.g. a headline); enrichers derive claims from it later."""
evidence: Evidence
# --------------------------------------------------------------------------------------------
# Entities
# --------------------------------------------------------------------------------------------
@dataclass
class PersonRecord:
ref: PersonRef
full_name: str
given_name: str | None = None
family_name: str | None = None
honorific_prefix: str | None = None
honorific_suffix: str | None = None
birth_date: date | None = None
death_date: date | None = None
gender: str | None = None
photo_url: str | None = None
aliases: tuple[str, ...] = ()
#: if no identifier matches, merge with an existing person of exactly this (unambiguous) name before
#: creating a new one - for authoritative sources that share no id with others (e.g. EP)
match_by_name: bool = False
@dataclass
class OrgRecord:
ref: OrgRef
aliases: tuple[str, ...] = ()
color: str | None = None
parent: OrgRef | None = None
@dataclass
class SocialAccount:
platform: str # bluesky | mastodon | telegram | youtube | twitter | facebook | ...
url: str
handle: str | None = None
person: PersonRef | None = None
org: OrgRef | None = None
verified: bool = False # True only for official sources (parliament profile, official website)
# --------------------------------------------------------------------------------------------
# Facets (structured payload of a claim)
# --------------------------------------------------------------------------------------------
@dataclass
class Role:
role: str # "mp" for chamber members, otherwise office title
level: Literal["eu", "federal", "state", "district", "municipal", "party", "other"]
body: OrgRef | None = None # chamber/government/party the role is in
party: OrgRef | None = None # party/faction of the holder in this role
region: str | None = None
start: date | None = None
end: date | None = None
@dataclass
class VoteEvent:
"""A vote (not a claim itself). Positions reference it by `key`."""
key: str
chamber: OrgRef | None
title: str
voted_on: date | None
result: Literal["accepted", "rejected", "unknown"] = "unknown"
stage: str | None = None
item_ref: str | None = None
roll_call: bool = False
url: str | None = None
protocol_url: str | None = None
raw_text: str | None = None
@dataclass
class VotePosition:
event_key: str
position: Literal["for", "against", "abstain", "absent"]
party: OrgRef | None = None # faction of an individual voter at that time
@dataclass
class Money:
kind: Literal["donation", "contract", "government_ad", "political_ad", "subsidy", "party_funding", "party_ad",
"loan", "side_income", "sponsorship", "other"]
amount: Decimal | float | None = None
currency: str = "EUR"
payer: OrgRef | PersonRef | None = None
payee: OrgRef | PersonRef | None = None
payer_name: str | None = None
payee_name: str | None = None
paid_on: date | None = None
period: str | None = None
reference: str | None = None # notice id, campaign, ...
category: str | None = None # CPV code, ad category, ...
amount_category: str | None = None # when only a bracket is published
@dataclass
class Event:
"""Something with time and place (not a claim). Participation claims reference it by `key`."""
key: str
kind: str
title: str
starts_at: datetime | date | str | None
ends_at: datetime | date | str | None = None
location: str | None = None
country: str | None = None
url: str | None = None
description: str | None = None
body: OrgRef | None = None
@dataclass
class Participation:
event_key: str
participation: str = "participant"
@dataclass
class Statement:
context: Literal["parliament_speech", "interview", "tv", "radio", "social_post", "press_release",
"event_speech", "op_ed", "testimony", "other"]
url: str
said_at: datetime | date | str | None = None
platform: str | None = None
medium: str | None = None
title: str | None = None
excerpt: str | None = None
@dataclass
class Legal:
stage: str
offense: str | None = None
authority: str | None = None
case_ref: str | None = None
stage_date: date | None = None
Facet = Union[Role, VotePosition, Money, Participation, Statement, Legal]
# --------------------------------------------------------------------------------------------
# Claims
# --------------------------------------------------------------------------------------------
@dataclass
class Claim:
claim_type: str
summary_de: str
evidence: list[Evidence]
person: PersonRef | None = None
org: OrgRef | None = None
counterpart_person: PersonRef | None = None
counterpart_org: OrgRef | None = None
occurred_at: datetime | date | str | None = None
valid_from: date | None = None
valid_to: date | None = None
summary_en: str | None = None
data: dict[str, Any] = field(default_factory=dict)
topics: tuple[str, ...] = ()
sensitive: bool = False
review: bool = False # True -> published only after human review
key: tuple | None = None # explicit identity (otherwise computed by the Loader)
facet: Facet | None = None
Record = Union[PersonRecord, OrgRecord, SocialAccount, VoteEvent, Event, Claim, Document]
def to_jsonable(obj: Any) -> Any:
"""Serialise records for golden tests and debugging (stable, sorted keys)."""
if is_dataclass(obj) and not isinstance(obj, type):
return {"__type__": type(obj).__name__, **{f.name: to_jsonable(getattr(obj, f.name)) for f in fields(obj)}}
if isinstance(obj, dict):
return {str(k): to_jsonable(v) for k, v in sorted(obj.items(), key=lambda kv: str(kv[0]))}
if isinstance(obj, (list, tuple)):
return [to_jsonable(v) for v in obj]
if isinstance(obj, (datetime, date)):
return obj.isoformat()
if isinstance(obj, Decimal):
return str(obj)
return obj
backend/politrack/core/registry.py
+95
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"""Registry of adapters, enrichers and source specs.
Built-in modules register themselves with @register when imported (see load_builtin()).
External packages can add adapters via the entry-point group `politrack.adapters`
(value: a module path whose import registers adapters), e.g. in their pyproject.toml:
[project.entry-points."politrack.adapters"]
my_sources = "my_package.sources"
"""
from __future__ import annotations
import importlib
import logging
import pkgutil
from importlib.metadata import entry_points
from politrack.core.adapter import Adapter, Enricher
from politrack.core.spec import DERIVED, SourceSpec
log = logging.getLogger(__name__)
ADAPTERS: dict[str, type[Adapter]] = {}
ENRICHERS: dict[str, type[Enricher]] = {}
SPECS: dict[str, SourceSpec] = {DERIVED.slug: DERIVED}
_loaded = False
def register(cls):
"""Class decorator for Adapter and Enricher subclasses."""
if issubclass(cls, Adapter):
target = ADAPTERS
elif issubclass(cls, Enricher):
target = ENRICHERS
else:
raise TypeError(f"{cls} is neither an Adapter nor an Enricher")
if cls.name in ADAPTERS or cls.name in ENRICHERS:
raise ValueError(f"duplicate adapter name {cls.name!r}")
target[cls.name] = cls
register_spec(cls.spec)
return cls
def register_spec(spec: SourceSpec) -> SourceSpec:
existing = SPECS.get(spec.slug)
if existing is not None and existing != spec:
raise ValueError(f"conflicting SourceSpec definitions for {spec.slug!r}")
SPECS[spec.slug] = spec
return spec
def load_builtin() -> None:
"""Import all built-in source and enricher modules (and plugins) exactly once."""
global _loaded
if _loaded:
return
_loaded = True
for package_name in ("politrack.sources", "politrack.enrich"):
package = importlib.import_module(package_name)
for module in pkgutil.walk_packages(package.__path__, prefix=f"{package_name}."):
importlib.import_module(module.name)
for ep in entry_points(group="politrack.adapters"):
try:
importlib.import_module(ep.value)
except Exception: # a broken plugin must not take the platform down
log.exception("failed to load adapter plugin %s", ep.value)
def get(name: str) -> type[Adapter] | type[Enricher]:
load_builtin()
if name in ADAPTERS:
return ADAPTERS[name]
if name in ENRICHERS:
return ENRICHERS[name]
raise KeyError(f"unknown adapter/enricher {name!r}; known: {', '.join(sorted(ADAPTERS) + sorted(ENRICHERS))}")
def sync_sources(conn) -> int:
"""Upsert all registered SourceSpecs into the `source` table."""
load_builtin()
for spec in SPECS.values():
conn.execute(
"""
INSERT INTO source (slug, name, kind, homepage, license, access_method, store_fulltext, keep_raw,
default_trust, tos_notes)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
ON CONFLICT (slug) DO UPDATE SET name = EXCLUDED.name, kind = EXCLUDED.kind, homepage = EXCLUDED.homepage,
license = EXCLUDED.license, access_method = EXCLUDED.access_method,
store_fulltext = EXCLUDED.store_fulltext, keep_raw = EXCLUDED.keep_raw,
default_trust = EXCLUDED.default_trust, tos_notes = EXCLUDED.tos_notes, updated_at = now()
""",
(spec.slug, spec.name, spec.kind, spec.homepage, spec.license, spec.access, spec.store_fulltext,
spec.keep_raw, spec.trust, spec.tos_notes),
)
return len(SPECS)
backend/politrack/core/resolve.py
+269
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"""Entity resolution: PersonRef/OrgRef -> database ids.
Order (first hit wins, ambiguity never guesses):
persons: identifiers -> hint strategies -> exact alias (titles stripped; prefer active)
organizations: identifiers -> slug -> exact alias -> normalised legal name -> create (if allowed)
Hint strategies for persons (documented in docs/data-model.md):
surname_in_body + on members of a chamber on a date with that surname (roll-call lists)
office + on holder of an office title on a date (Council of Ministers minutes)
"""
from __future__ import annotations
import re
from datetime import date
from typing import Any
from psycopg import Connection
from rapidfuzz import fuzz
from politrack.core.records import OrgRef, PersonRef
from politrack.text import make_slug, normalize, normalize_org_name, strip_titles
OFFICE_FILLER = re.compile(r"\b(der republik osterreich|der bundesrepublik osterreich|im bundeskanzleramt)\b|"
r"\(osterreich\)")
def office_key(title: str) -> str:
"""'Bundesministerin für Justiz' / 'Bundeskanzler der Republik Österreich' -> 'bundesminister fur justiz' /
'bundeskanzler' (gender-neutral, without filler, punctuation-free) for comparing office titles."""
text = normalize(title)
text = re.sub(r"\b(\w*(?:minister|kanzler|sekretar|prasident|rat))in\b", r"\1", text)
text = OFFICE_FILLER.sub(" ", text)
return re.sub(r"\s+", " ", re.sub(r"[^\w\s]", " ", text)).strip()
# Fallback for colloquial or English office labels (Wikidata: "Justizminister Österreichs", "Federal Minister for
# Arts, Culture, the Civil Service and Sport"): same kind of office + at least one common portfolio.
OFFICE_KINDS = [("vizekanzler", r"vizekanzler|vice.chancellor"), ("kanzler", r"kanzler|chancellor"),
("staatssekretar", r"staatssekretar|state secretary"), ("minister", r"minist")]
PORTFOLIOS = {
"justiz": r"justiz|justice", "finanzen": r"finanz|financ", "inneres": r"\binnere|\binnenmin|interior",
"aussen": r"au(ss|ß)en|auswartig|europaische und internationale|foreign|european and international",
"verteidigung": r"verteidigung|defen[cs]e", "soziales": r"sozial|\barbeit|labou?r|social",
"gesundheit": r"gesundheit|health", "bildung": r"bildung|education", "wissenschaft": r"wissenschaft|science",
"frauen": r"frauen|women", "landwirtschaft": r"landwirtschaft|forstwirtschaft|agricultur",
"umwelt": r"umwelt|klima|environment|climate", "kunst": r"kunst|kultur|\barts\b|culture|\bsport",
"mobilitat": r"mobilitat|verkehr|infrastruktur|mobility|transport|infrastructure",
"wirtschaft": r"\bwirtschaft|econom", "europa": r"\beuropa\b|integration|familie|famil",
"digitalisierung": r"digital", "energie": r"energie|energy", "tourismus": r"touris",
}
def office_kind(key: str) -> str | None:
return next((kind for kind, pattern in OFFICE_KINDS if re.search(pattern, key)), None)
def portfolios(key: str) -> set[str]:
return {name for name, pattern in PORTFOLIOS.items() if re.search(pattern, key)}
def lead_portfolio(key: str) -> str | None:
"""The portfolio named first ("Wirtschaft, Energie und Tourismus" -> wirtschaft): a role must cover it."""
found = [(m.start(), name) for name, pattern in PORTFOLIOS.items() if (m := re.search(pattern, key))]
return min(found)[1] if found else None
class Resolver:
def __init__(self, conn: Connection) -> None:
self.conn = conn
self._person_cache: dict[tuple, int | None] = {}
self._org_cache: dict[tuple, int | None] = {}
self._members_cache: dict[tuple, list[dict]] = {}
self._office_cache: dict[tuple, int | None] = {}
# -- persons ------------------------------------------------------------------------
def person_by_ids(self, ids: dict[str, str]) -> int | None:
for scheme, value in ids.items():
if value is None:
continue
if scheme == "politrack": # internal id, used by adapters that plan requests from the database
row = self.conn.execute("SELECT id FROM person WHERE id = %s", (int(value),)).fetchone()
if row:
return row["id"]
continue
row = self.conn.execute(
"SELECT entity_id FROM identifier WHERE entity_type = 'person' AND scheme = %s AND value = %s",
(scheme, str(value)),
).fetchone()
if row:
return row["entity_id"]
return None
def person(self, ref: PersonRef | None) -> int | None:
if ref is None:
return None
cache_key = (tuple(sorted(ref.ids.items())), ref.name, tuple(sorted((k, str(v)) for k, v in ref.hints.items())))
if cache_key in self._person_cache:
return self._person_cache[cache_key]
found = self.person_by_ids(ref.ids)
if found is None and ref.hints:
found = self._person_by_hints(ref)
if found is None and ref.name and not ref.hints.get("no_name_match"):
found = self.person_by_name(ref.name)
self._person_cache[cache_key] = found
return found
def person_by_name(self, name: str) -> int | None:
norm = normalize(strip_titles(name))
rows = self.conn.execute(
"""SELECT DISTINCT a.entity_id AS id, ps.status
FROM alias a LEFT JOIN person_status ps ON ps.person_id = a.entity_id
WHERE a.entity_type = 'person' AND a.alias_norm = %s""",
(norm,),
).fetchall()
if len(rows) == 1:
return rows[0]["id"]
active = [r for r in rows if r["status"] == "active"]
return active[0]["id"] if len(active) == 1 else None
def _person_by_hints(self, ref: PersonRef) -> int | None:
hints = ref.hints
on: date | None = hints.get("on")
if "surname_in_body" in hints and ref.name:
members = self.members(hints["surname_in_body"], on)
norm = normalize(strip_titles(ref.name))
exact = [m for m in members if m["family_name"] and normalize(m["family_name"]) == norm]
if len(exact) == 1:
return exact[0]["id"]
suffix = [m for m in members if normalize(strip_titles(m["full_name"])).endswith(norm)]
return suffix[0]["id"] if len(suffix) == 1 else None
if "office" in hints:
return self.office_holder(hints["office"], on)
return None
def office_holder(self, office: str, on: date | None) -> int | None:
"""Holder of a (single-holder) office on a date. Titles are compared whole, gender-neutral and without
filler ("Bundesministerin für Justiz" == "Bundesminister für Justiz"), so a generic "Bundesminister"
never matches a specific ministry. Several matches (open-ended roles from Wikidata) -> the most recent
appointment wins; no dated match -> None."""
key = (office, on)
if key not in self._office_cache:
rows = self.conn.execute(
"""SELECT DISTINCT r.person_id, r.role, r.start_date FROM role r JOIN claim c ON c.id = r.claim_id
WHERE c.merged_into IS NULL AND r.level IN ('federal', 'state', 'eu')
AND (%(on)s::date IS NULL OR ((r.start_date IS NULL OR r.start_date <= %(on)s)
AND (r.end_date IS NULL OR r.end_date >= %(on)s)))""",
{"on": on},
).fetchall()
target = office_key(office)
candidates = [(r["start_date"] or date.min, r["person_id"]) for r in rows
if fuzz.ratio(office_key(r["role"]), target) >= 92]
kind, lead = office_kind(target), lead_portfolio(target)
if not candidates and kind and (lead or kind in ("kanzler", "vizekanzler")):
# Fuzzy labels only for appointments since the current government took office (the latest
# chancellor appointment): stale open-ended roles of former ministers must not win.
formed = max((r["start_date"] for r in rows if r["start_date"]
and office_kind(office_key(r["role"])) == "kanzler"), default=date.min)
candidates = [(r["start_date"], r["person_id"]) for r in rows
if r["start_date"] and r["start_date"] >= formed
and office_kind(office_key(r["role"])) == kind
and (kind in ("kanzler", "vizekanzler") or lead in portfolios(office_key(r["role"])))]
persons = {p for _, p in candidates}
if len(persons) <= 1:
self._office_cache[key] = persons.pop() if persons else None
else:
latest = max(start for start, _ in candidates)
newest = {p for start, p in candidates if start == latest}
self._office_cache[key] = newest.pop() if len(newest) == 1 and latest != date.min else None
return self._office_cache[key]
def members(self, body_slug: str, on: date | None) -> list[dict[str, Any]]:
key = (body_slug, on)
if key not in self._members_cache:
self._members_cache[key] = self.conn.execute(
"""SELECT DISTINCT ON (p.id) p.id, p.full_name, p.family_name, r.party_id
FROM role r JOIN person p ON p.id = r.person_id JOIN organization o ON o.id = r.organization_id
JOIN claim c ON c.id = r.claim_id
WHERE o.slug = %(body)s AND r.role = 'mp' AND c.merged_into IS NULL
AND (%(on)s::date IS NULL OR (r.start_date <= %(on)s AND COALESCE(r.end_date, 'infinity') >= %(on)s))
ORDER BY p.id, r.start_date DESC""",
{"body": body_slug, "on": on},
).fetchall()
return self._members_cache[key]
def faction_of(self, person_id: int, body_slug: str, on: date | None) -> int | None:
return next((m["party_id"] for m in self.members(body_slug, on) if m["id"] == person_id), None)
# -- organizations ------------------------------------------------------------------
def org(self, ref: OrgRef | None, create: bool | None = None) -> int | None:
if ref is None:
return None
allow_create = ref.create if create is None else create
cache_key = (tuple(sorted(ref.ids.items())), ref.slug, ref.name, ref.short_name)
if cache_key in self._org_cache and (self._org_cache[cache_key] is not None or not allow_create):
return self._org_cache[cache_key]
found = self._org_lookup(ref)
if found is None and allow_create and (ref.name or ref.short_name):
found = self._org_create(ref)
elif found is not None:
self._add_org_ids(found, ref)
self._org_cache[cache_key] = found
return found
def _org_lookup(self, ref: OrgRef) -> int | None:
for scheme, value in ref.ids.items():
if scheme == "politrack_org": # internal id (enrichers)
row = self.conn.execute("SELECT id FROM organization WHERE id = %s", (int(value),)).fetchone()
if row:
return row["id"]
continue
row = self.conn.execute(
"SELECT entity_id FROM identifier WHERE entity_type = 'organization' AND scheme = %s AND value = %s",
(scheme, str(value)),
).fetchone()
if row:
return row["entity_id"]
if ref.slug:
row = self.conn.execute("SELECT id FROM organization WHERE slug = %s", (ref.slug,)).fetchone()
if row:
return row["id"]
for label in (ref.short_name, ref.name):
if not label:
continue
for norm in {normalize(label), normalize_org_name(label)} - {""}:
rows = self.conn.execute(
"SELECT DISTINCT entity_id FROM alias WHERE entity_type = 'organization' AND alias_norm = %s",
(norm,),
).fetchall()
if len(rows) == 1:
return rows[0]["entity_id"]
return None
def _org_create(self, ref: OrgRef) -> int:
base = ref.slug or make_slug(ref.short_name or ref.name or "org")[:60] or "org"
slug, n = base, 1
while self.conn.execute("SELECT 1 FROM organization WHERE slug = %s", (slug,)).fetchone():
n += 1
slug = f"{base}-{n}"
org_id = self.conn.execute(
"INSERT INTO organization (slug, name, short_name, kind) VALUES (%s, %s, %s, %s) RETURNING id",
(slug, ref.name or ref.short_name, ref.short_name, ref.kind if ref.kind else "other"),
).fetchone()["id"]
self.add_org_aliases(org_id, [ref.name, ref.short_name])
self._add_org_ids(org_id, ref)
return org_id
def add_org_aliases(self, org_id: int, names: list[str | None]) -> None:
for name in names:
if not name:
continue
for norm in {normalize(name), normalize_org_name(name)} - {""}:
self.conn.execute(
"INSERT INTO alias (entity_type, entity_id, alias, alias_norm) VALUES ('organization', %s, %s, %s) "
"ON CONFLICT DO NOTHING",
(org_id, name, norm),
)
def _add_org_ids(self, org_id: int, ref: OrgRef) -> None:
for scheme, value in ref.ids.items():
if value:
self.conn.execute(
"INSERT INTO identifier (entity_type, entity_id, scheme, value) VALUES ('organization', %s, %s, %s) "
"ON CONFLICT DO NOTHING",
(org_id, scheme, str(value)),
)
backend/politrack/core/runner.py
+232
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@@ -0,0 +1,232 @@
"""Runs adapters and enrichers.
fetch mode: start() -> fetch (policy, archive) -> parse() -> Loader, one transaction per response
reparse mode: replay the latest archived response of every request the adapter ever made
test mode: parse a given response without DB (used by golden tests)
"""
from __future__ import annotations
import logging
import traceback
from collections import deque
from collections.abc import Iterable
from datetime import datetime, timezone
from typing import Any
from psycopg import Connection
from psycopg.types.json import Jsonb
from politrack.core import registry
from politrack.core.adapter import Adapter, Enricher, Request, Response, RunContext, StateStore
from politrack.core.archive import Archive
from politrack.core.fetch import Disallowed, Fetcher
from politrack.core.loader import Loader, source_row
from politrack.db import connection
log = logging.getLogger(__name__)
ENRICH_COMMIT_EVERY = 200
def run(name: str, *, mode: str = "fetch", since: datetime | None = None, params: dict[str, Any] | None = None,
max_requests: int | None = None) -> dict:
cls = registry.get(name)
with connection() as conn:
run_id = conn.execute("INSERT INTO run (adapter, mode) VALUES (%s, %s) RETURNING id", (name, mode)).fetchone()["id"]
conn.commit()
ctx = RunContext(adapter=name, spec=cls.spec, state=StateStore(conn, name), since=since, params=params or {},
mode=mode, conn=conn, creates_persons=cls.creates_persons,
log=logging.getLogger(f"politrack.{name}"))
status, error = "ok", None
try:
if issubclass(cls, Enricher):
_run_enricher(cls(), ctx, conn)
elif mode == "reparse":
_reparse(cls(), ctx, conn)
else:
_fetch_run(cls(), ctx, conn, max_requests)
if ctx.stats.get("errors"):
status = "partial"
except Exception:
conn.rollback()
status, error = "error", traceback.format_exc()
ctx.log.exception("%s failed", name)
conn.execute("UPDATE run SET finished_at = now(), status = %s, stats = %s, error = %s WHERE id = %s",
(status, Jsonb(dict(ctx.stats)), error, run_id))
conn.commit()
ctx.log.info("%s %s: %s %s", name, mode, status, dict(ctx.stats))
if status == "error":
raise RuntimeError(f"{name} failed, see run {run_id}")
return {"status": status, **dict(ctx.stats)}
def _fetch_run(adapter: Adapter, ctx: RunContext, conn: Connection, max_requests: int | None) -> None:
fetcher = Fetcher()
loader = Loader(conn, ctx)
queue: deque[Request] = deque(adapter.start(ctx))
seen: set[str] = set()
try:
while queue:
req = queue.popleft()
if req.fingerprint in seen:
continue
seen.add(req.fingerprint)
if max_requests is not None and ctx.stats["requests"] >= max_requests:
ctx.stats["stopped_at_max_requests"] = 1
break
ctx.stats["requests"] += 1
# Multi-publisher adapters (news feeds, GDELT) name the publisher per request.
spec = registry.SPECS.get(req.meta.get("source") or adapter.spec.slug, adapter.spec)
try:
resp = fetcher.fetch(conn, req, adapter=adapter.name, spec=spec,
source_id=source_row(conn, spec.slug)["id"])
except Disallowed:
ctx.stats["disallowed_by_robots"] += 1
ctx.log.warning("robots.txt disallows %s", req.url)
continue
except Exception as exc:
conn.rollback()
ctx.stats["fetch_errors"] += 1
ctx.stats["errors"] += 1
ctx.log.warning("fetch failed %s: %s", req.url, exc)
continue
if req.skip_unchanged and _unchanged(conn, resp, adapter.parser_version):
# Same body, same parser: its records are already loaded. Still collect follow-up requests,
# so children an interrupted run never fetched are picked up (they have their own checks).
ctx.stats["unchanged"] += 1
queue.extend(_follow_ups(adapter, ctx, resp))
continue
queue.extend(_parse_and_load(adapter, ctx, conn, loader, resp))
finally:
fetcher.close()
def _unchanged(conn: Connection, resp: Response, parser_version: int) -> bool:
if resp.fetch_id is None:
return False
row = conn.execute(
"""SELECT 1 FROM fetch_log WHERE request_fp = %s AND parsed_sha256 = %s AND parser_version = %s LIMIT 1""",
(resp.request.fingerprint, resp.sha256, parser_version),
).fetchone()
return row is not None
def _follow_ups(adapter: Adapter, ctx: RunContext, resp: Response) -> list[Request]:
ctx.response = resp
try:
return [item for item in adapter.parse(ctx, resp) if isinstance(item, Request)]
except Exception:
ctx.stats["parse_errors"] += 1
ctx.log.exception("parse failed for unchanged %s", resp.url)
return []
finally:
ctx.response = None
def _parse_and_load(adapter: Adapter, ctx: RunContext, conn: Connection, loader: Loader,
resp: Response) -> list[Request]:
follow: list[Request] = []
ctx.response = resp
try:
for item in adapter.parse(ctx, resp):
if isinstance(item, Request):
follow.append(item)
else:
loader.load(item)
if resp.fetch_id is not None:
Archive().mark_parsed(conn, resp.fetch_id, resp.sha256, adapter.parser_version)
conn.commit()
except Exception as exc:
conn.rollback()
ctx.stats["errors"] += 1
ctx.stats["parse_errors"] += 1
ctx.log.exception("parse/load failed for %s", resp.url)
if resp.fetch_id is not None:
Archive().mark_error(conn, resp.fetch_id, f"{type(exc).__name__}: {exc}")
conn.commit()
loader.resolver = type(loader.resolver)(conn) # drop caches that may reference rolled-back rows
finally:
ctx.response = None
return follow
def _reparse(adapter: Adapter, ctx: RunContext, conn: Connection) -> None:
archive = Archive()
loader = Loader(conn, ctx)
started = conn.execute("SELECT now() AS t").fetchone()["t"]
rows = archive.latest_stored(conn, adapter.name)
ctx.log.info("reparsing %s archived responses", len(rows))
# Parse list/index responses before detail responses: records referencing others (vote positions ->
# vote events) are emitted by the parent's parse() in order, so the original order is preserved
# by sorting on fetch time.
for row in sorted(rows, key=lambda r: r["fetched_at"]):
body = archive.read_blob(row["sha256"])
if body is None:
ctx.stats["missing_blobs"] += 1
continue
req_info = row["request"] or {}
req = Request(url=row["url"], kind=req_info.get("kind", "default"), method=row["method"],
params=req_info.get("params"), json=req_info.get("json"), meta=req_info.get("meta") or {})
resp = Response(request=req, status=row["status"], url=row["url"],
headers={"content-type": row["content_type"] or ""}, body=body,
fetched_at=row["fetched_at"], sha256=row["sha256"], fetch_id=row["id"],
tdm_reserved=row["tdm_reserved"], from_archive=True)
ctx.stats["responses"] += 1
_parse_and_load(adapter, ctx, conn, loader, resp) # follow-ups are archived separately
if not ctx.stats.get("errors") and not ctx.stats.get("missing_blobs"):
_sweep_stale_claims(adapter, ctx, conn, started)
def _sweep_stale_claims(adapter: Adapter, ctx: RunContext, conn: Connection, started: datetime) -> None:
"""After a complete reparse, delete this adapter's claims that the current parser no longer produces
(e.g. a fixed parser emits a corrected fact with a new identity) - unless another source backs them.
Claims are reproducible from the archive, so nothing is lost; facets and evidence links cascade."""
deleted = conn.execute(
"""DELETE FROM claim c
WHERE c.created_by = %(adapter)s AND c.updated_at < %(started)s
AND NOT EXISTS (SELECT 1 FROM claim_evidence e JOIN document d ON d.id = e.document_id
JOIN source s ON s.id = d.source_id
WHERE e.claim_id = c.id AND s.slug <> %(source)s)""",
{"adapter": adapter.name, "started": started, "source": adapter.spec.slug},
).rowcount
conn.commit()
ctx.stats["stale_claims_deleted"] = deleted
def _run_enricher(enricher: Enricher, ctx: RunContext, conn: Connection) -> None:
loader = Loader(conn, ctx)
result = enricher.run(ctx)
pending = 0
for record in result or []:
try:
loader.load(record)
except Exception:
conn.rollback()
ctx.stats["errors"] += 1
ctx.log.exception("enricher %s failed to load a record", enricher.name)
loader = Loader(conn, ctx)
continue
pending += 1
if pending >= ENRICH_COMMIT_EVERY:
conn.commit()
pending = 0
conn.commit()
def parse_offline(adapter: Adapter, response: Response, params: dict[str, Any] | None = None) -> Iterable[Any]:
"""Run parse() without a database (golden tests, debugging)."""
ctx = RunContext(adapter=adapter.name, spec=adapter.spec, state=StateStore(None, adapter.name), mode="test",
params=params or {})
ctx.response = response
return list(adapter.parse(ctx, response))
def make_response(url: str, body: bytes, *, kind: str = "default", meta: dict | None = None,
content_type: str = "", method: str = "GET", json_body: Any = None,
params: dict | None = None) -> Response:
"""Build a Response for tests/fixtures."""
import hashlib
req = Request(url=url, kind=kind, meta=meta or {}, method=method, json=json_body, params=params)
return Response(request=req, status=200, url=url, headers={"content-type": content_type}, body=body,
fetched_at=datetime(2026, 1, 1, tzinfo=timezone.utc), sha256=hashlib.sha256(body).hexdigest())
backend/politrack/core/spec.py
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"""SourceSpec: the single source of truth about a publisher we collect from.
Specs live next to the adapters that use them (backend/politrack/sources/*.py) and are synced
into the `source` table by `politrack migrate` / `politrack sources sync`.
"""
from dataclasses import dataclass
from typing import Literal
SourceKind = Literal["official", "ngo", "media", "social", "aggregator", "user", "derived"]
AccessMethod = Literal["api", "bulk", "rss", "scrape", "manual", "derived"]
@dataclass(frozen=True)
class SourceSpec:
slug: str
name: str
kind: SourceKind
homepage: str
license: str
access: AccessMethod
trust: int
#: may we keep body text (articles, posts, protocols)? False -> title, short excerpt and link only
store_fulltext: bool = True
#: may raw responses be archived? False for TDM-reserved publishers or restrictive terms
keep_raw: bool = True
#: minimum seconds between two requests to the same host (robots.txt crawl-delay can raise it)
min_interval: float = 2.0
#: URL prefixes of documented APIs whose operators allow programmatic use although robots.txt
#: lists them (justify in tos_notes). Everything else always obeys robots.txt.
robots_exempt: tuple[str, ...] = ()
tos_notes: str = ""
def __post_init__(self) -> None:
if not 0 <= self.trust <= 100:
raise ValueError(f"{self.slug}: trust must be 0-100")
# Sources used by the built-in enrichers for derived documents/claims.
DERIVED = SourceSpec(
slug="politrack",
name="Politrack (abgeleitet)",
kind="derived",
homepage="",
license="derived from cited sources",
access="derived",
trust=50,
tos_notes="Claims computed by Politrack from other sources; each cites its original evidence.",
)
backend/politrack/db.py
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import atexit
from collections.abc import Iterator
from contextlib import contextmanager
from functools import lru_cache
from psycopg import Connection
from psycopg.rows import dict_row
from psycopg_pool import ConnectionPool
from politrack.config import get_settings
@lru_cache
def get_pool() -> ConnectionPool:
pool = ConnectionPool(
get_settings().database_url,
min_size=1,
max_size=10,
kwargs={"row_factory": dict_row},
open=False,
)
pool.open()
atexit.register(pool.close)
return pool
@contextmanager
def connection() -> Iterator[Connection]:
"""A pooled connection inside a transaction (committed on success)."""
with get_pool().connection() as conn:
yield conn
backend/politrack/enrich/__init__.py
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Whitespace-only changes.
backend/politrack/enrich/corroborate.py
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"""Corroboration: find claims from different sources that state the same fact and merge them.
Merging keeps the oldest claim, copies the duplicate's evidence onto it and marks
the duplicate with `merged_into`. Afterwards `refresh_claim_status` marks the
survivor "corroborated" when at least two *independent sources* support it.
Matchers:
* roles: same person, equivalent body/office, overlapping or near-identical periods
(e.g. Wikidata "Abgeordneter zum Nationalrat" == Parliament mandate)
* stories: news articles about the same event (similar headlines, shared people,
within 72 hours) are grouped; mentions of a person in one story are merged
* events: trips/meetings of the same person to the same place/counterpart within 3 days
"""
from collections import defaultdict
from datetime import timedelta
from psycopg import Connection
from rapidfuzz import fuzz
from politrack.core import Enricher, RunContext, register
from politrack.core.spec import DERIVED
from politrack.enrich.events import counterpart_anchor
from politrack.text import normalize
REFRESH_STATUS = """
UPDATE claim SET status = CASE
WHEN status = 'retracted' THEN status
WHEN EXISTS (SELECT 1 FROM claim_evidence e WHERE e.claim_id = claim.id AND e.stance = 'contradicts') THEN 'disputed'
WHEN (SELECT count(DISTINCT d.source_id) FROM claim_evidence e JOIN document d ON d.id = e.document_id
WHERE e.claim_id = claim.id AND e.stance IN ('supports', 'mentions')) >= 2 THEN 'corroborated'
ELSE 'reported' END
WHERE id = %s
"""
def merge_claims(conn: Connection, keep_id: int, dup_id: int) -> None:
if keep_id == dup_id:
return
conn.execute(
"""
INSERT INTO claim_evidence (claim_id, document_id, stance, quote, locator, extracted_by, confidence)
SELECT %s, document_id, stance, quote, locator, extracted_by, confidence
FROM claim_evidence WHERE claim_id = %s
ON CONFLICT (claim_id, document_id, locator) DO NOTHING
""",
(keep_id, dup_id),
)
conn.execute(
"""
INSERT INTO topic_assignment (topic_id, claim_id, confidence, method)
SELECT topic_id, %s, confidence, method FROM topic_assignment WHERE claim_id = %s
ON CONFLICT DO NOTHING
""",
(keep_id, dup_id),
)
conn.execute("UPDATE claim SET merged_into = %s, updated_at = now() WHERE id = %s", (keep_id, dup_id))
conn.execute("UPDATE claim SET merged_into = %s WHERE merged_into = %s", (keep_id, dup_id))
conn.execute(REFRESH_STATUS, (keep_id,))
# -- roles ---------------------------------------------------------------------
BODY_KEYWORDS = {
"nationalrat": ("nationalrat",),
"bundesrat": ("bundesrat", "bundesrates"),
}
def _same_office(a: dict, b: dict) -> bool:
"""a: authoritative role (Parliament), b: other source (Wikidata)."""
if a["role"] == "mp" and b["role"] == "mp":
return a["body_slug"] == b["body_slug"]
label = normalize(b["role"])
if a["role"] == "mp" and a["body_slug"] in BODY_KEYWORDS:
return any(k in label for k in BODY_KEYWORDS[a["body_slug"]]) and "prasident" not in label
return fuzz.token_set_ratio(normalize(a["role"]), label) >= 80
def _periods_match(a: dict, b: dict) -> bool:
a_start, b_start = a["start_date"], b["start_date"]
a_end, b_end = a["end_date"], b["end_date"]
if a_start and b_start and abs((a_start - b_start).days) <= 60:
return True
# Wikidata often only records one term for several consecutive mandates: accept containment.
if a_start and b_start and b_start <= a_start and (b_end is None or a_end is None or a_end <= b_end + timedelta(days=60)):
return True
return False
def merge_roles(conn: Connection) -> int:
rows = conn.execute(
"""
SELECT r.claim_id, r.person_id, r.role, r.start_date, r.end_date, c.created_by, o.slug AS body_slug
FROM role r JOIN claim c ON c.id = r.claim_id LEFT JOIN organization o ON o.id = r.organization_id
WHERE c.merged_into IS NULL AND r.level <> 'party'
AND (c.created_by LIKE 'parlament%%' OR c.created_by LIKE 'wikidata%%' OR c.created_by LIKE 'europarl%%')
ORDER BY r.person_id, r.start_date NULLS LAST
"""
).fetchall()
by_person: dict[int, dict[str, list[dict]]] = defaultdict(lambda: defaultdict(list))
for r in rows:
family = "wikidata" if r["created_by"].startswith("wikidata") else "parlament"
by_person[r["person_id"]][family].append(r)
merged = 0
for roles in by_person.values():
for other in roles.get("wikidata", []):
match = next((a for a in roles.get("parlament", []) if _same_office(a, other) and _periods_match(a, other)),
None)
if match:
merge_claims(conn, match["claim_id"], other["claim_id"])
merged += 1
conn.commit()
return merged
# -- news stories -------------------------------------------------------------
def cluster_stories(conn: Connection, days: int = 14) -> int:
"""Group recent news documents about the same thing into stories."""
docs = conn.execute(
"""
SELECT d.id, d.title, d.published_at, d.story_id, d.source_id, d.meta->'people' AS people
FROM document d JOIN source s ON s.id = d.source_id
WHERE (s.kind = 'media' OR s.slug = 'gdelt') AND d.published_at > now() - make_interval(days => %s)
AND d.title IS NOT NULL
ORDER BY d.published_at
""",
(days,),
).fetchall()
stories: list[dict] = [] # {id, docs: [...]}
for doc in docs:
title = normalize(doc["title"])
people = set(doc["people"] or [])
best, best_score = None, 0
for story in stories[-400:]:
lead = story["docs"][0]
if doc["published_at"] - lead["published_at"] > timedelta(hours=72):
continue
score = fuzz.token_set_ratio(title, lead["norm"])
shared = people & lead["people"]
if score >= 82 or (shared and score >= 60):
if score > best_score:
best, best_score = story, score
entry = {"id": doc["id"], "norm": title, "people": people, "published_at": doc["published_at"],
"source_id": doc["source_id"], "story_id": doc["story_id"], "title": doc["title"]}
if best:
best["docs"].append(entry)
else:
stories.append({"docs": [entry]})
assigned = 0
for story in stories:
if len(story["docs"]) < 2:
continue
existing = next((d["story_id"] for d in story["docs"] if d["story_id"]), None)
lead = story["docs"][0]
if existing is None:
existing = conn.execute(
"INSERT INTO story (title, first_seen) VALUES (%s, %s) RETURNING id", (lead["title"], lead["published_at"])
).fetchone()["id"]
ids = [d["id"] for d in story["docs"]]
conn.execute("UPDATE document SET story_id = %s WHERE id = ANY(%s)", (existing, ids))
conn.execute(
"""
UPDATE story SET last_seen = sub.last_seen, document_count = sub.n, source_count = sub.sources
FROM (SELECT max(published_at) AS last_seen, count(*) AS n, count(DISTINCT source_id) AS sources
FROM document WHERE story_id = %s) sub
WHERE story.id = %s
""",
(existing, existing),
)
assigned += len(ids)
conn.commit()
return assigned
def merge_story_mentions(conn: Connection) -> int:
"""One media_mention claim per (person or party, story); other outlets become additional evidence."""
rows = conn.execute(
"""
SELECT c.id, c.person_id, c.organization_id, d.story_id, c.occurred_at
FROM claim c
JOIN claim_evidence e ON e.claim_id = c.id
JOIN document d ON d.id = e.document_id
WHERE c.claim_type = 'media_mention' AND c.merged_into IS NULL AND d.story_id IS NOT NULL
ORDER BY c.occurred_at NULLS LAST, c.id
"""
).fetchall()
keep: dict[tuple, int] = {}
merged = 0
for r in rows:
key = (r["person_id"], r["organization_id"], r["story_id"])
if key in keep:
if keep[key] != r["id"]:
merge_claims(conn, keep[key], r["id"])
merged += 1
else:
keep[key] = r["id"]
conn.commit()
return merged
# -- events --------------------------------------------------------------------
def merge_events(conn: Connection) -> int:
rows = conn.execute(
"""
SELECT c.id, c.person_id, c.claim_type, c.occurred_at, c.data->>'country' AS country,
c.data->>'counterpart' AS counterpart
FROM claim c
WHERE c.claim_type IN ('travel', 'meeting') AND c.merged_into IS NULL
ORDER BY c.person_id, c.claim_type, c.occurred_at
"""
).fetchall()
merged = 0
previous: dict[tuple, dict] = {}
for r in rows:
anchor = r["country"] if r["claim_type"] == "travel" else counterpart_anchor(r["counterpart"] or "")
key = (r["person_id"], r["claim_type"], anchor)
prev = previous.get(key)
if prev and r["occurred_at"] and prev["occurred_at"] and r["occurred_at"] - prev["occurred_at"] <= timedelta(days=3):
merge_claims(conn, prev["id"], r["id"])
merged += 1
continue
previous[key] = r
conn.commit()
return merged
@register
class Corroborator(Enricher):
spec = DERIVED
name = "enrich.corroborate"
description = "Merge near-duplicate claims from different sources; cluster news stories"
schedule = "9-59/10 * * * *"
def run(self, ctx: RunContext) -> None:
conn = ctx.conn
ctx.stats["roles_merged"] = merge_roles(conn)
ctx.stats["story_documents"] = cluster_stories(conn)
ctx.stats["story_mentions_merged"] = merge_story_mentions(conn)
ctx.stats["events_merged"] = merge_events(conn)
return None
backend/politrack/enrich/curated.py
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"""Curated lists maintained by the operator in config/ (accounts that no official register lists).
* config.social_accounts - config/social_accounts.yaml -> social_account rows for persons/organisations,
e.g. party Telegram channels or Bluesky accounts linked from party websites. The social adapters then
collect their public posts.
"""
from __future__ import annotations
from collections.abc import Iterator
from typing import Any
import yaml
from politrack.config import get_settings
from politrack.core import Enricher, RunContext, SourceSpec, register
from politrack.core.records import OrgRef, PersonRef, SocialAccount
CURATED = SourceSpec(
slug="curated",
name="Kuratierte Listen (config/)",
kind="derived",
homepage="",
license="operator-maintained",
access="manual",
trust=60,
tos_notes="Entries maintained by the operator; each should name the public page that links the account.",
)
def person_ref(ctx: RunContext, entry: dict[str, Any]) -> PersonRef | None:
"""`person: <politrack slug>`, `person: {wikidata: Q..}` / `{parlament: ..}` or `name: <full name>`."""
person = entry.get("person")
if isinstance(person, dict):
return PersonRef(ids={k: str(v) for k, v in person.items()})
if isinstance(person, str):
row = ctx.conn.execute("SELECT id FROM person WHERE slug = %s", (person,)).fetchone()
return PersonRef(ids={"politrack": str(row["id"])}) if row else None
if entry.get("name"):
return PersonRef(name=entry["name"])
return None
def org_ref(entry: dict[str, Any]) -> OrgRef | None:
"""`org: <slug>` for existing organisations, or `org: {slug, name, kind}` to create one."""
org = entry.get("org")
if isinstance(org, str):
return OrgRef(slug=org, create=False)
if isinstance(org, dict):
return OrgRef(slug=org.get("slug"), name=org.get("name"), short_name=org.get("short_name"),
kind=org.get("kind", "other"), create=bool(org.get("name")))
return None
@register
class CuratedSocialAccounts(Enricher):
spec = CURATED
name = "config.social_accounts"
description = "Import social accounts from config/social_accounts.yaml"
schedule = "5 3 * * *"
def run(self, ctx: RunContext) -> Iterator[SocialAccount]:
path = get_settings().config_dir / "social_accounts.yaml"
if not path.exists():
return
for entry in (yaml.safe_load(path.read_text(encoding="utf-8")) or {}).get("accounts") or []:
person = person_ref(ctx, entry)
org = None if person else org_ref(entry)
if person is None and org is None:
ctx.stats["entries_without_owner"] += 1
ctx.log.warning("social_accounts.yaml: no person/org for %s", entry.get("url"))
continue
yield SocialAccount(platform=entry["platform"], url=entry["url"], handle=entry.get("handle"),
person=person, org=org, verified=bool(entry.get("verified")))
backend/politrack/enrich/embed.py
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"""Chunking + embeddings for retrieval (RAG).
Every claim gets one chunk (its summary plus evidence titles) so agents can
retrieve facts *with citations*; documents with licensed full text are split
into ~1,200 character chunks. Embeddings are computed by an Ollama server
(model bge-m3, multilingual, 1024 dims) if POLITRACK_OLLAMA_URL is set;
otherwise only German full-text search is available.
"""
import httpx
from psycopg import Connection
from politrack.config import get_settings
from politrack.core import Enricher, RunContext, register
from politrack.core.spec import DERIVED
CHUNK_SIZE = 1200
UPSERT_CHUNK = """
INSERT INTO chunk (claim_id, document_id, chunk_index, text, lang) VALUES (%s, %s, %s, %s, 'de')
ON CONFLICT (COALESCE(document_id, 0), COALESCE(claim_id, 0), chunk_index)
DO UPDATE SET text = EXCLUDED.text, embedding = CASE WHEN chunk.text = EXCLUDED.text THEN chunk.embedding END
"""
@register
class Chunker(Enricher):
spec = DERIVED
name = "enrich.embed"
description = "Build search chunks for claims/documents and embed them (Ollama, optional)"
schedule = "*/15 * * * *"
def run(self, ctx: RunContext) -> None:
while (n := build_chunks(ctx.conn)):
ctx.stats["chunks"] += n
ctx.stats["embedded"] = embed_pending(ctx.conn)
return None
def split_text(text: str, size: int = CHUNK_SIZE) -> list[str]:
paragraphs, chunks, current = [p.strip() for p in text.split("\n") if p.strip()], [], ""
for p in paragraphs:
if current and len(current) + len(p) > size:
chunks.append(current)
current = ""
current = f"{current}\n{p}".strip()
while len(current) > size * 1.5:
chunks.append(current[:size])
current = current[size:]
if current:
chunks.append(current)
return chunks
def build_chunks(conn: Connection, batch: int = 5000) -> int:
claims = conn.execute(
"""
SELECT c.id, c.claim_type, c.summary_de, c.occurred_at, p.full_name, o.name AS org_name,
string_agg(DISTINCT s.name || ': ' || COALESCE(d.title, d.url), ' | ') AS sources
FROM claim c
LEFT JOIN person p ON p.id = c.person_id
LEFT JOIN organization o ON o.id = c.organization_id
JOIN claim_evidence e ON e.claim_id = c.id
JOIN document d ON d.id = e.document_id
JOIN source s ON s.id = d.source_id
WHERE c.merged_into IS NULL AND c.review_status = 'published'
AND NOT EXISTS (SELECT 1 FROM chunk ch WHERE ch.claim_id = c.id)
GROUP BY c.id, p.full_name, o.name
LIMIT %s
""",
(batch,),
).fetchall()
for c in claims:
who = c["full_name"] or c["org_name"] or ""
when = c["occurred_at"].date().isoformat() if c["occurred_at"] else ""
text = f"[{c['claim_type']}] {when} {who}\n{c['summary_de']}\nQuellen: {c['sources']}"
conn.execute(UPSERT_CHUNK, (c["id"], None, 0, text.strip()))
docs = conn.execute(
"""
SELECT d.id, d.title, d.full_text FROM document d
WHERE d.full_text IS NOT NULL AND NOT EXISTS (SELECT 1 FROM chunk ch WHERE ch.document_id = d.id)
LIMIT %s
""",
(batch // 10,),
).fetchall()
for d in docs:
for i, part in enumerate(split_text(d["full_text"])):
conn.execute(UPSERT_CHUNK, (None, d["id"], i, f"{d['title'] or ''}\n{part}".strip()))
conn.commit()
return len(claims) + len(docs)
def embed_texts(texts: list[str]) -> list[list[float]]:
settings = get_settings()
resp = httpx.post(f"{settings.ollama_url}/api/embed", json={"model": settings.embedding_model, "input": texts},
timeout=300)
resp.raise_for_status()
return resp.json()["embeddings"]
def embed_pending(conn: Connection, batch: int = 64, max_batches: int = 50) -> int:
settings = get_settings()
if not settings.ollama_url:
return 0
total = 0
for _ in range(max_batches):
rows = conn.execute("SELECT id, text FROM chunk WHERE embedding IS NULL ORDER BY id LIMIT %s", (batch,)).fetchall()
if not rows:
break
vectors = embed_texts([r["text"] for r in rows])
with conn.cursor() as cur:
cur.executemany(
"UPDATE chunk SET embedding = %s::vector, embedding_model = %s WHERE id = %s",
[(str(v), settings.embedding_model, r["id"]) for r, v in zip(rows, vectors)],
)
conn.commit()
total += len(rows)
return total
backend/politrack/enrich/events.py
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"""Extract trips and meetings from official press releases and news headlines.
Rule-based and conservative. A sentence becomes an event only if it names a
known politician and contains a travel or meeting trigger:
travel: "reist nach Brüssel", "Arbeitsbesuch in Israel", "beim Gipfel in Montenegro", "in China"
meeting: "empfängt den tschechischen Außenminister", "Treffen mit ...", "traf ... zu einem Gespräch"
Sources:
* Parlamentskorrespondenz and government news: title + full text (official works / CC BY),
* news headlines: title only (we do not store article text).
The event date is the publication date of the source (`data.date_precision =
"publication"`). The claim key is (kind, person, place/counterpart, ISO week),
so reports from different sources about the same trip attach to the same claim
as additional evidence and corroborate it. corroborate.merge_events() also
merges near-duplicates whose dates differ by a few days.
"""
from __future__ import annotations
import re
from collections.abc import Iterator
from datetime import datetime
from typing import Any
from psycopg.types.json import Jsonb
from politrack.core import Enricher, RunContext, register
from politrack.core.records import Claim, Event, Evidence, Participation, PersonRef
from politrack.core.spec import DERIVED
from politrack.enrich.gazetteer import AUSTRIA, PLACES
from politrack.enrich.linker import MentionLinker
from politrack.text import excerpt, fingerprint, normalize
# (?<!-)/(?!-): skip names inside compounds such as "Berlin-Prozess" or "EU-Brüssel-Treffen".
PLACE_RE = re.compile(
r"(?<![-\w])(" + "|".join(sorted((re.escape(p) for p in PLACES), key=len, reverse=True)) + r")(?![-\w])"
)
DESTINATION_RE = re.compile(r"\b(?:in|nach|aus)\s+(?:de[mnr]\s+|die\s+)?$")
STRONG_TRAVEL = re.compile(r"\b(reist\w*|Reise\w*|\w*[Bb]esuch\w*|\w*Gipfel\w*|Delegation\w*|Konferenz\w*|Tagung\w*)\b")
MEETING_RE = re.compile(
r"\b(?:empfängt|empfing|empfangen|trifft|traf|getroffen|Treffen mit|Gespräch mit|Arbeitsgespräch mit|"
r"Unterredung mit|tauschte sich mit|im Austausch mit|zusammengetroffen mit|kam mit)\s+"
r"(?P<counterpart>(?:de[mnr]|die|das|seine[mnr]?|ihre[mnr]?)?\s*[^.,;:]{3,90})",
re.IGNORECASE,
)
COUNTERPART_ROLE = re.compile(
r"(minister|präsident|kanzler|botschafter|delegation|amtskolleg|vertreter|bürgermeister|abgeordnet|chef|"
r"premier|könig|papst|kommissar|generalsekretär|regierungschef|staatssekretär|landeshauptm|gouverneur|"
r"bischof|kardinal|vorsitzend|ceo|gewerkschaft|sozialpartner|außenminister)",
re.IGNORECASE,
)
FULL_NAME = re.compile(r"\b[A-ZÄÖÜ][a-zäöüß]+(?:-[A-ZÄÖÜ][a-zäöüß]+)?\s+[A-ZÄÖÜ][a-zäöüß]+")
SENTENCE_SPLIT = re.compile(r"(?<=[.!?])\s+(?=[A-ZÄÖÜ„\"])|\n+")
FILLER = re.compile(r"^(?:(?:heute|gestern|morgen|am|vorgestern|Montag|Dienstag|Mittwoch|Donnerstag|Freitag|"
r"Samstag|Sonntag|de[mnr]|die|das|seine[mnr]?|ihre[mnr]?|eine[mnr]?)\s+)+", re.IGNORECASE)
def clean_counterpart(text: str) -> str:
return FILLER.sub("", text.strip()).strip()
def counterpart_anchor(text: str) -> str:
"""Stable key for a counterpart: its last capitalised word (usually the surname or country)."""
words = re.findall(r"[A-ZÄÖÜ][\wäöüß-]+", clean_counterpart(text))
return normalize(words[-1]) if words else normalize(text)[:25]
def find_places(text: str) -> list[tuple[str, str]]:
"""Places in order of preference: those introduced by "in/nach" first (the destination)."""
matches = list(PLACE_RE.finditer(text))
preferred = [m for m in matches if DESTINATION_RE.search(text[: m.start()])]
ordered = preferred + [m for m in matches if m not in preferred]
return [(m.group(1), PLACES[m.group(1)]) for m in ordered]
def detect(text: str) -> list[dict]:
"""Return candidate events found in one sentence (no person resolution)."""
events = []
places = find_places(text)
foreign = [(p, iso) for p, iso in places if iso != "AT"]
if foreign and STRONG_TRAVEL.search(text):
place, iso = foreign[0]
events.append({"kind": "foreign_trip", "claim_type": "travel", "place": place, "country": iso})
meeting = MEETING_RE.search(text)
if meeting:
counterpart = re.split(r"\s+(?:in|im|am|zu|über|bei|und|sowie)\s+", meeting.group("counterpart").strip())[0]
place, iso = (places[0] if places else (None, None))
# "traf eine Entscheidung" is not a meeting: require a role word or a person-like name.
if COUNTERPART_ROLE.search(counterpart) or FULL_NAME.search(counterpart):
events.append({"kind": "meeting", "claim_type": "meeting", "counterpart": clean_counterpart(counterpart),
"place": place, "country": iso})
return events
@register
class EventExtractor(Enricher):
spec = DERIVED
name = "enrich.events"
description = "Trips and meetings from press releases, government news and headlines"
schedule = "3-59/10 * * * *"
def run(self, ctx: RunContext) -> Iterator[Any]:
conn = ctx.conn
linker = MentionLinker(conn)
while True:
docs = conn.execute(
"""SELECT d.id, d.url, d.title, d.full_text, d.published_at, d.meta, s.slug AS source, s.kind AS source_kind
FROM document d JOIN source s ON s.id = d.source_id
WHERE NOT (d.meta ? 'events_at') AND d.published_at IS NOT NULL
AND (d.doc_type = 'press_release' OR s.kind = 'media' OR s.slug = 'gdelt')
ORDER BY d.id LIMIT 300"""
).fetchall()
if not docs:
return
for doc in docs:
found = 0
for record in self.document_events(conn, linker, doc):
found += isinstance(record, Claim)
yield record
conn.execute("UPDATE document SET meta = meta || %s WHERE id = %s",
(Jsonb({"events_at": datetime.now().isoformat(), "events": found}), doc["id"]))
ctx.stats["documents"] += 1
def document_events(self, conn, linker: MentionLinker, doc: dict) -> Iterator[Any]:
official = doc["source_kind"] == "official"
title = doc["title"] or ""
body = (doc["full_text"] or "")[:4000] if official else ""
pads = (doc["meta"] or {}).get("person_pads") or []
doc_people: set[int] = set()
if pads:
doc_people = {r["entity_id"] for r in conn.execute(
"SELECT entity_id FROM identifier WHERE entity_type = 'person' AND scheme = 'parlament' AND value = ANY(%s)",
([str(p) for p in pads],))}
sentences = [title] + [s for s in SENTENCE_SPLIT.split(body) if s][:25]
for i, sentence in enumerate(sentences):
candidates = detect(sentence)
if not candidates:
continue
people = linker.all_people(sentence)
# In the headline of an official release the actors are usually the people it links/names.
if not people and i == 0:
people = doc_people or linker.all_people(f"{title} {body[:600]}")
for person_id in people:
for ev in candidates:
yield from event_records(conn, doc, person_id, ev, sentence, official)
def event_records(conn, doc: dict, person_id: int, ev: dict, sentence: str, official: bool) -> Iterator[Any]:
published = doc["published_at"]
week = published.strftime("%G-W%V")
anchor = ev.get("country") if ev["kind"] == "foreign_trip" else counterpart_anchor(ev.get("counterpart") or "")
row = conn.execute("SELECT full_name, family_name FROM person WHERE id = %s", (person_id,)).fetchone()
# A sentence like "X empfing Y" yields the meeting for X and Y; never record "Y met Y".
if ev["kind"] == "meeting" and row["family_name"] and normalize(row["family_name"]) in normalize(ev["counterpart"]):
return
if ev["kind"] == "foreign_trip":
summary_de, summary_en = f"Reise/Aufenthalt in {ev['place']}", f"Trip to {ev['place']}"
else:
where = f" ({ev['place']})" if ev.get("place") else ""
summary_de = f"Treffen mit {ev['counterpart']}{where}"
summary_en = f"Meeting with {ev['counterpart']}{where}"
event_key = fingerprint("event", ev["kind"], person_id, anchor, week)
yield Event(key=event_key, kind=ev["kind"], title=f"{row['full_name']}: {summary_de}", starts_at=published,
location=ev.get("place"), country=ev.get("country"), url=doc["url"], description=excerpt(sentence, 400))
foreign = ev.get("country") and ev["country"] not in AUSTRIA.values()
yield Claim(
claim_type=ev["claim_type"], person=PersonRef(ids={"politrack": str(person_id)}), occurred_at=published,
summary_de=summary_de, summary_en=summary_en,
data={"place": ev.get("place"), "country": ev.get("country"), "counterpart": ev.get("counterpart"),
"date_precision": "publication", "extracted": "rules"},
evidence=[Evidence(url=doc["url"], source=doc["source"], title=doc["title"], published_at=published,
quote=excerpt(sentence, 400), confidence=0.8 if official else 0.6)],
topics=("Außenpolitik",) if foreign else (),
facet=Participation(event_key=event_key),
)
backend/politrack/enrich/gazetteer.py
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"""German place names -> ISO 3166-1 alpha-2, for detecting trips in German texts.
Countries in nominative form (as used after "nach"/"in"); cities that are
frequent destinations of Austrian politicians. Austrian places map to "AT" so
domestic visits are recognised but not counted as trips abroad.
"""
COUNTRIES = {
"Ägypten": "EG", "Albanien": "AL", "Algerien": "DZ", "Argentinien": "AR", "Armenien": "AM", "Aserbaidschan": "AZ",
"Äthiopien": "ET", "Australien": "AU", "Belgien": "BE", "Bosnien und Herzegowina": "BA", "Bosnien": "BA",
"Brasilien": "BR", "Bulgarien": "BG", "Chile": "CL", "China": "CN", "Dänemark": "DK", "Deutschland": "DE",
"Estland": "EE", "Finnland": "FI", "Frankreich": "FR", "Georgien": "GE", "Ghana": "GH", "Griechenland": "GR",
"Großbritannien": "GB", "Vereinigten Königreich": "GB", "Vereinigtes Königreich": "GB", "Indien": "IN",
"Indonesien": "ID", "Irak": "IQ", "Iran": "IR", "Irland": "IE", "Island": "IS", "Israel": "IL", "Italien": "IT",
"Japan": "JP", "Jordanien": "JO", "Kanada": "CA", "Kasachstan": "KZ", "Katar": "QA", "Kenia": "KE",
"Kolumbien": "CO", "Kosovo": "XK", "Kroatien": "HR", "Kuba": "CU", "Lettland": "LV", "Libanon": "LB",
"Libyen": "LY", "Liechtenstein": "LI", "Litauen": "LT", "Luxemburg": "LU", "Malta": "MT", "Marokko": "MA",
"Mexiko": "MX", "Moldau": "MD", "Moldawien": "MD", "Monaco": "MC", "Mongolei": "MN", "Montenegro": "ME",
"Neuseeland": "NZ", "Niederlande": "NL", "Nigeria": "NG", "Nordmazedonien": "MK", "Norwegen": "NO",
"Oman": "OM", "Pakistan": "PK", "Palästina": "PS", "Polen": "PL", "Portugal": "PT", "Ruanda": "RW",
"Rumänien": "RO", "Russland": "RU", "Saudi-Arabien": "SA", "Schweden": "SE", "Schweiz": "CH", "Senegal": "SN",
"Serbien": "RS", "Singapur": "SG", "Slowakei": "SK", "Slowenien": "SI", "Spanien": "ES", "Südafrika": "ZA",
"Südkorea": "KR", "Syrien": "SY", "Taiwan": "TW", "Thailand": "TH", "Tschechien": "CZ", "Tunesien": "TN",
"Türkei": "TR", "Ukraine": "UA", "Ungarn": "HU", "USA": "US", "Vereinigten Staaten": "US",
"Vereinigte Staaten": "US", "Usbekistan": "UZ", "Vatikan": "VA", "Venezuela": "VE",
"Vereinigten Arabischen Emiraten": "AE", "Vereinigte Arabische Emirate": "AE", "Vietnam": "VN",
"Weißrussland": "BY", "Belarus": "BY", "Zypern": "CY", "Andorra": "AD", "San Marino": "SM",
}
CITIES = {
"Brüssel": "BE", "Straßburg": "FR", "Luxemburg": "LU", "Berlin": "DE", "München": "DE", "Frankfurt": "DE",
"Paris": "FR", "Rom": "IT", "Mailand": "IT", "Madrid": "ES", "Lissabon": "PT", "London": "GB", "Dublin": "IE",
"Amsterdam": "NL", "Den Haag": "NL", "Kopenhagen": "DK", "Stockholm": "SE", "Oslo": "NO", "Helsinki": "FI",
"Warschau": "PL", "Prag": "CZ", "Bratislava": "SK", "Pressburg": "SK", "Budapest": "HU", "Ljubljana": "SI",
"Laibach": "SI", "Zagreb": "HR", "Belgrad": "RS", "Sarajevo": "BA", "Podgorica": "ME", "Skopje": "MK",
"Tirana": "AL", "Pristina": "XK", "Sofia": "BG", "Bukarest": "RO", "Chișinău": "MD", "Kiew": "UA",
"Kyjiw": "UA", "Moskau": "RU", "Minsk": "BY", "Athen": "GR", "Nikosia": "CY", "Valletta": "MT",
"Ankara": "TR", "Istanbul": "TR", "Bern": "CH", "Genf": "CH", "Zürich": "CH", "Davos": "CH", "Vaduz": "LI",
"Washington": "US", "New York": "US", "Ottawa": "CA", "Peking": "CN", "Beijing": "CN", "Shanghai": "CN",
"Tokio": "JP", "Neu-Delhi": "IN", "Jerusalem": "IL", "Tel Aviv": "IL", "Kairo": "EG", "Amman": "JO",
"Riad": "SA", "Doha": "QA", "Abu Dhabi": "AE", "Dubai": "AE", "Teheran": "IR", "Baku": "AZ", "Tiflis": "GE",
"Eriwan": "AM", "Astana": "KZ", "Taschkent": "UZ", "Brdo": "SI", "Göttweig": "AT",
}
AUSTRIA = {
"Österreich": "AT", "Wien": "AT", "Graz": "AT", "Linz": "AT", "Salzburg": "AT", "Innsbruck": "AT",
"Klagenfurt": "AT", "Villach": "AT", "Wels": "AT", "St. Pölten": "AT", "Dornbirn": "AT", "Bregenz": "AT",
"Eisenstadt": "AT", "Niederösterreich": "AT", "Oberösterreich": "AT", "Steiermark": "AT", "Kärnten": "AT",
"Tirol": "AT", "Vorarlberg": "AT", "Burgenland": "AT", "Alpbach": "AT",
}
PLACES = {**AUSTRIA, **COUNTRIES, **CITIES}
backend/politrack/enrich/legal.py
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"""Detect reports about legal proceedings in news headlines (and WKStA press releases).
Everything found here is a *proposal*: claims are created with review=True (hidden until a human approves
them via `politrack review`). Headline wording is ambiguous, the data is specially protected (Art. 10 GDPR)
and wrong attributions can be defamatory. Official parliament immunity data does not go through this path.
Several outlets reporting the same person + stage in the same month attach to one claim (corroboration).
"""
from __future__ import annotations
import re
from collections.abc import Iterator
from datetime import datetime
from psycopg.types.json import Jsonb
from politrack.core import Enricher, RunContext, register
from politrack.core.records import Claim, Evidence, Legal, PersonRef
from politrack.core.spec import DERIVED
# Most specific first.
STAGES = [
# "nicht rechtskräftig verurteilt" must never be read as a final conviction.
("convicted_final", re.compile(r"(?<!nicht )\brechtskräftig\s+(verurteilt|schuldig)", re.I)),
("convicted_not_final", re.compile(r"\b(nicht rechtskräftig\b.*\bverurteilt|verurteilt\b.*nicht rechtskräftig|"
r"schuldig gesprochen|Schuldspruch|\bverurteilt\b)", re.I)),
("acquitted", re.compile(r"\b(freigesprochen|Freispruch)\b", re.I)),
("diversion", re.compile(r"\bDiversion\b", re.I)),
("proceedings_dropped", re.compile(r"\b(Verfahren|Ermittlungen)\b.*\beingestellt\b|\beingestellt\b.*\bVerfahren\b", re.I)),
("trial", re.compile(r"\b(Prozess|Strafprozess|vor Gericht|Prozessauftakt|Hauptverhandlung)\b", re.I)),
("indicted", re.compile(r"\b(angeklagt|Anklage|Strafantrag)\b", re.I)),
("investigation", re.compile(r"\b(ermittelt|Ermittlungen|Ermittlungsverfahren|Beschuldigte[rn]?|Hausdurchsuchung|"
r"WKStA|Staatsanwaltschaft|Razzia)\b", re.I)),
]
STAGE_DE = {
"convicted_final": "rechtskräftige Verurteilung (laut Bericht)",
"convicted_not_final": "nicht rechtskräftige Verurteilung (laut Bericht)",
"acquitted": "Freispruch (laut Bericht)",
"diversion": "Diversion (laut Bericht)",
"proceedings_dropped": "Verfahren eingestellt (laut Bericht)",
"trial": "Gerichtsverfahren (laut Bericht)",
"indicted": "Anklage (laut Bericht)",
"investigation": "Ermittlungen (laut Bericht)",
}
def classify(headline: str) -> str | None:
for stage, pattern in STAGES:
if pattern.search(headline):
return stage
return None
@register
class LegalDetector(Enricher):
spec = DERIVED
name = "enrich.legal"
description = "Propose legal-proceeding claims from headlines (human review required)"
schedule = "6-59/10 * * * *"
def run(self, ctx: RunContext) -> Iterator[Claim]:
conn = ctx.conn
while True:
rows = conn.execute(
"""SELECT c.id, c.person_id, c.occurred_at, d.url, d.title, d.published_at, s.slug AS source
FROM claim c
JOIN claim_evidence e ON e.claim_id = c.id
JOIN document d ON d.id = e.document_id
JOIN source s ON s.id = d.source_id
WHERE c.claim_type = 'media_mention' AND c.person_id IS NOT NULL AND NOT (c.data ? 'legal_checked')
AND (s.kind IN ('media', 'aggregator') OR s.slug = 'wksta')
ORDER BY c.id LIMIT 1000"""
).fetchall()
if not rows:
return
for row in rows:
stage = classify(row["title"] or "")
if stage:
when = row["published_at"] or row["occurred_at"] or datetime.now()
yield Claim(
claim_type="legal_proceeding", person=PersonRef(ids={"politrack": str(row["person_id"])}),
key=("legal-news", row["person_id"], stage, when.strftime("%Y-%m")), occurred_at=when,
summary_de=STAGE_DE[stage], summary_en=f"Reported legal matter ({stage.replace('_', ' ')})",
data={"detected_from": "headline"}, sensitive=True, review=True,
evidence=[Evidence(url=row["url"], source=row["source"], title=row["title"], published_at=when,
quote=row["title"], confidence=0.5)],
topics=("Inneres und Recht",),
facet=Legal(stage=stage, stage_date=when.date()),
)
ctx.stats["proposed"] += 1
conn.execute("UPDATE claim SET data = data || %s WHERE id = %s", (Jsonb({"legal_checked": True}), row["id"]))
backend/politrack/enrich/linker.py
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"""Link documents (headlines, press releases, government news) to the politicians and parties they mention.
Conservative by design: full names (>= 2 tokens) only, plus "office title + surname" of *current* office
holders ("Bundeskanzler Stocker"); an ambiguous name is only linked if exactly one candidate is active.
False links are worse than missed ones on a site like this.
"""
from __future__ import annotations
import re
from collections import defaultdict
from collections.abc import Iterator
from datetime import datetime, timezone
from psycopg import Connection
from psycopg.types.json import Jsonb
from politrack.core import Enricher, RunContext, register
from politrack.core.records import Claim, Evidence, OrgRef, PersonRef
from politrack.core.spec import DERIVED
from politrack.text import normalize, strip_titles
TOKEN = re.compile(r"[\w'-]+")
OFFICE_TITLE = re.compile(
r"\b(?:Bundeskanzler(?:in)?|Vizekanzler(?:in)?|[A-ZÄÖÜ][a-zäöüß]*minister(?:in)?|Minister(?:in)?|"
r"Staatssekretär(?:in)?|Nationalratspräsident(?:in)?|Bundesratspräsident(?:in)?|Bundespräsident(?:in)?|"
r"Landeshauptmann|Landeshauptfrau|Landesrät(?:in)?|Landesrat|Bürgermeister(?:in)?|Klubobmann|Klubobfrau|"
r"Klubchef(?:in)?|Parteichef(?:in)?|Generalsekretär(?:in)?|Abgeordnete[rn]?|EU-Abgeordnete[rn]?|"
r"EU-Kommissar(?:in)?|Präsident(?:in)?)\s+(?:(?:Dr|Mag|DI|Ing)\.\s+)?(?P<surname>[A-ZÄÖÜ][a-zäöüß]+(?:-[A-ZÄÖÜ][a-zäöüß]+)?)\b"
# "Nationalratspräsident Walter Rosenkranz": a following capitalised word means we matched a first name.
r"(?!\s+(?:von\s+)?[A-ZÄÖÜ][a-zäöüß]+)"
)
CONTEXT_PATTERNS = [
("interview", re.compile(r"\binterview\b", re.I)),
("tv", re.compile(r"\b(ZIB ?2|ZiB ?2|Pressestunde|Im Zentrum|Sommergespräch|Report|Puls ?24|ServusTV|Talk im Hangar|"
r"Milborn|Pro und Contra)\b", re.I)),
("radio", re.compile(r"\b(Ö1|Morgenjournal|Mittagsjournal|Journal zu Gast)\b", re.I)),
("op_ed", re.compile(r"\b(Gastkommentar|Kommentar der anderen)\b", re.I)),
]
def tokens(text: str) -> list[str]:
return TOKEN.findall(normalize(text))
def detect_context(text: str) -> str | None:
for name, pattern in CONTEXT_PATTERNS:
if pattern.search(text):
return name
return None
class MentionLinker:
def __init__(self, conn: Connection) -> None:
self.person_index: dict[tuple[str, ...], set[int]] = defaultdict(set)
for row in conn.execute("SELECT entity_id, alias FROM alias WHERE entity_type = 'person'"):
key = tuple(tokens(strip_titles(row["alias"])))
if len(key) >= 2:
self.person_index[key].add(row["entity_id"])
self.active = {r["person_id"] for r in conn.execute("SELECT person_id FROM person_status WHERE status = 'active'")}
self.active_surnames: dict[str, set[int]] = defaultdict(set)
for row in conn.execute(
"SELECT p.id, p.family_name FROM person p JOIN person_status s ON s.person_id = p.id "
"WHERE s.status = 'active' AND p.family_name IS NOT NULL"
):
self.active_surnames[normalize(row["family_name"])].add(row["id"])
self.org_index: dict[tuple[str, ...], int] = {}
for row in conn.execute(
"""SELECT o.id, a.alias FROM organization o JOIN alias a ON a.entity_type = 'organization' AND a.entity_id = o.id
WHERE o.kind = 'party'
UNION SELECT id, short_name FROM organization WHERE kind = 'party' AND short_name IS NOT NULL"""
):
key = tuple(tokens(row["alias"]))
if key and len("".join(key)) >= 3:
self.org_index[key] = row["id"]
self.max_len = max((len(k) for k in self.person_index), default=2)
def people(self, text: str) -> set[int]:
toks = tokens(text)
found: set[int] = set()
for n in range(2, self.max_len + 1):
for i in range(len(toks) - n + 1):
candidates = self.person_index.get(tuple(toks[i : i + n]))
if not candidates:
continue
if len(candidates) == 1:
found |= candidates
elif len(active := candidates & self.active) == 1:
found |= active
return found
def people_by_title(self, text: str) -> set[int]:
found: set[int] = set()
for m in OFFICE_TITLE.finditer(text):
candidates = self.active_surnames.get(normalize(m.group("surname")), set())
if len(candidates) == 1:
found |= candidates
return found
def all_people(self, text: str) -> set[int]:
return self.people(text) | self.people_by_title(text)
def parties(self, text: str) -> set[int]:
toks = tokens(text)
found = set()
for n in (1, 2, 3):
for i in range(len(toks) - n + 1):
if org := self.org_index.get(tuple(toks[i : i + n])):
found.add(org)
return found
@register
class Linker(Enricher):
spec = DERIVED
name = "enrich.linker"
description = "Link news headlines, press releases and government news to politicians and parties"
schedule = "*/10 * * * *"
def run(self, ctx: RunContext) -> Iterator[Claim]:
conn = ctx.conn
linker = MentionLinker(conn)
while True:
docs = conn.execute(
"""SELECT d.id, d.url, d.title, d.excerpt, left(d.full_text, 3000) AS full_text, d.published_at,
s.slug AS source, s.name AS source_name, s.kind AS source_kind,
COALESCE((d.meta->>'tdm_reserved')::boolean, false) AS tdm_reserved
FROM document d JOIN source s ON s.id = d.source_id
WHERE (s.kind IN ('media', 'user') OR s.slug IN ('gdelt', 'bundesregierung', 'wksta'))
AND NOT (d.meta ? 'linked_at') AND d.doc_type IN ('article', 'press_release')
ORDER BY d.id LIMIT 500"""
).fetchall()
if not docs:
return
for doc in docs:
title = doc["title"] or ""
text = title if doc["tdm_reserved"] else f"{title} {doc['full_text'] or doc['excerpt'] or ''}"
context = detect_context(title)
people, parties = linker.all_people(text), linker.parties(title)
evidence = Evidence(url=doc["url"], source=doc["source"], title=title, quote=title, stance="mentions",
confidence=0.8, published_at=doc["published_at"])
for person_id in people:
yield Claim(claim_type="media_mention", person=PersonRef(ids={"politrack": str(person_id)}),
occurred_at=doc["published_at"], summary_de=f"{doc['source_name']}: {title}",
data={"context": context, "source": doc["source"]}, evidence=[evidence])
for org_id in parties:
yield Claim(claim_type="media_mention", org=OrgRef(ids={"politrack_org": str(org_id)}, create=False),
occurred_at=doc["published_at"], summary_de=f"{doc['source_name']}: {title}",
data={"context": context, "source": doc["source"]}, evidence=[evidence])
conn.execute("UPDATE document SET meta = meta || %s WHERE id = %s",
(Jsonb({"linked_at": datetime.now(timezone.utc).isoformat(), "people": sorted(people),
"parties": sorted(parties)}), doc["id"]))
ctx.stats["documents_linked"] += 1
backend/politrack/enrich/maintenance.py
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"""Housekeeping enrichers that work directly on canonical rows (no new facts, only derived structure).
* enrich.roles - give open-ended offices the party of the holder's party membership at that time
(Wikidata offices carry no party), close open roles at the holder's date of death
* enrich.rollcall - derive each faction's majority position from individual roll-call votes, so party
pages show roll calls too ("ÖVP mostly for: ... 70 yes, 2 no")
"""
from __future__ import annotations
from collections import Counter, defaultdict
from collections.abc import Iterator
from politrack.core import Enricher, RunContext, register
from politrack.core.records import Claim, Evidence, OrgRef, VotePosition
from politrack.core.spec import DERIVED
@register
class RoleMaintenance(Enricher):
spec = DERIVED
name = "enrich.roles"
description = "Assign parties to offices from party memberships; close roles at death"
schedule = "50 5 * * *"
def run(self, ctx: RunContext) -> None:
conn = ctx.conn
ctx.stats["roles_with_party"] = conn.execute(
"""UPDATE role r SET party_id = pm.party_id
FROM role pm JOIN claim c ON c.id = pm.claim_id
WHERE r.party_id IS NULL AND r.level <> 'party' AND pm.role = 'party_member' AND c.merged_into IS NULL
AND pm.person_id = r.person_id
AND (pm.start_date IS NULL OR r.end_date IS NULL OR pm.start_date <= r.end_date)
AND (pm.end_date IS NULL OR r.start_date IS NULL OR pm.end_date >= r.start_date)"""
).rowcount
ctx.stats["roles_closed_at_death"] = conn.execute(
"""UPDATE role r SET end_date = p.death_date FROM person p
WHERE p.id = r.person_id AND r.end_date IS NULL AND p.death_date IS NOT NULL"""
).rowcount
return None
@register
class RollCallFactions(Enricher):
spec = DERIVED
name = "enrich.rollcall"
description = "Faction majority positions derived from individual roll-call votes"
schedule = "55 4 * * *"
def run(self, ctx: RunContext) -> Iterator[Claim]:
rows = ctx.conn.execute(
"""SELECT ve.event_key, ve.item_title, ve.voted_on, ve.url, ch.slug AS chamber, vp.party_id, vp.position,
o.short_name, o.name
FROM vote_event ve JOIN vote_position vp ON vp.vote_event_id = ve.id
JOIN organization ch ON ch.id = ve.chamber_id
JOIN organization o ON o.id = vp.party_id
JOIN claim c ON c.id = vp.claim_id AND c.merged_into IS NULL
WHERE ve.roll_call AND vp.person_id IS NOT NULL"""
).fetchall()
tally: dict[tuple, Counter] = defaultdict(Counter)
info: dict[tuple, dict] = {}
for r in rows:
key = (r["event_key"], r["party_id"])
tally[key][r["position"]] += 1
info[key] = r
for key, counts in tally.items():
r = info[key]
position, _ = counts.most_common(1)[0]
party = r["short_name"] or r["name"]
yield Claim(
claim_type="vote", org=OrgRef(ids={"politrack_org": str(r["party_id"])}, create=False),
counterpart_org=OrgRef(slug=r["chamber"]), occurred_at=r["voted_on"],
summary_de=f"{party} stimmte mehrheitlich {'für' if position == 'for' else 'gegen'}: {r['item_title']} "
f"(namentliche Abstimmung, {counts['for']} Ja, {counts['against']} Nein)",
summary_en=f"{party} mostly voted {'for' if position == 'for' else 'against'}: {r['item_title']} "
f"(roll call, {counts['for']} yes / {counts['against']} no)",
data={"position": position, "roll_call": True, "yes": counts["for"], "no": counts["against"]},
evidence=[Evidence(url=r["url"], source="parlament", doc_type="api_record", title=r["item_title"],
published_at=r["voted_on"], locator=f"rollcall:{r['voted_on']}")],
facet=VotePosition(event_key=r["event_key"], position=position),
)
backend/politrack/enrich/topics.py
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"""Keyword-based topic tagging for claims that did not get topics from their source.
Parliament items carry official topics; news mentions, donations and posts
are tagged here with the keyword lists of the `topic` table. An optional LLM
classifier can replace this later (see docs/roadmap.md).
"""
import re
from politrack.core import Enricher, RunContext, register
from politrack.core.spec import DERIVED
def keyword_pattern(keywords: list[str]) -> re.Pattern:
"""Keywords match as word prefixes ("Klima" -> "Klimaschutz"); short ones (<= 3 chars) only as whole words."""
parts = [re.escape(k) + (r"\b" if len(k) <= 3 else "") for k in keywords]
return re.compile(r"\b(" + "|".join(parts) + ")", re.IGNORECASE)
@register
class TopicTagger(Enricher):
spec = DERIVED
name = "enrich.topics"
description = "Keyword topics for claims without official topics"
schedule = "8-59/10 * * * *"
def run(self, ctx: RunContext) -> None:
while (n := tag_claims(ctx.conn)):
ctx.stats["claims_tagged"] += n
return None
def tag_claims(conn, batch: int = 2000) -> int:
topics = [
(row["id"], keyword_pattern(row["keywords"]))
for row in conn.execute("SELECT id, keywords FROM topic WHERE cardinality(keywords) > 0")
]
claims = conn.execute(
"""
SELECT c.id, c.summary_de || ' ' || COALESCE(string_agg(d.title, ' '), '') AS text
FROM claim c
LEFT JOIN claim_evidence e ON e.claim_id = c.id
LEFT JOIN document d ON d.id = e.document_id
WHERE c.claim_type IN ('media_mention', 'statement', 'donation', 'side_job', 'appearance', 'meeting', 'travel',
'money_flow', 'government_decision', 'wiki_edit', 'career')
AND NOT (c.data ? 'topics_tagged')
GROUP BY c.id ORDER BY c.id LIMIT %s
""",
(batch,),
).fetchall()
for claim in claims:
for topic_id, pattern in topics:
if pattern.search(claim["text"]):
conn.execute(
"INSERT INTO topic_assignment (topic_id, claim_id, confidence, method) "
"VALUES (%s, %s, 0.5, 'keyword') ON CONFLICT DO NOTHING",
(topic_id, claim["id"]),
)
conn.execute("UPDATE claim SET data = data || '{\"topics_tagged\": true}' WHERE id = %s", (claim["id"],))
conn.commit()
return len(claims)
backend/politrack/mcp_server.py
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"""MCP (Model Context Protocol) server so AI agents can query Politrack with citations.
Connect an MCP client (Claude Desktop/Code, etc.) to http://<host>:8001/mcp
(streamable HTTP transport). All tools return evidence URLs; agents should cite them.
Tools are thin wrappers around politrack.queries - the same functions the REST API uses.
"""
import json
from datetime import date
from mcp.server.fastmcp import FastMCP
from politrack import queries
from politrack.db import connection
from politrack.queries import SourceFilter
mcp = FastMCP(
"politrack",
instructions=(
"Evidence-backed data on Austrian politicians and parties. Every claim has an `evidence` list of URLs: "
"always cite them. status 'corroborated' = confirmed by at least two independent sources. "
"Claims of type legal_proceeding: unless legal_stage is 'convicted_final' (and the claim is not "
"'disputed'), the presumption of innocence applies - always state 'Es gilt die Unschuldsvermutung' / "
"'presumed innocent'. Parliamentary votes in Austria are mostly recorded per faction; roll_call=true "
"votes contain individual positions. Travel/meeting dates are publication dates of the source. "
"Money flows (donations, public contracts, government ads, party funding) come from official registers; "
"a flow to an organisation connected to a person is a connection, not an accusation. "
"Social accounts marked verified=false come from Wikidata and were not confirmed by an official source."
),
)
def _dump(rows) -> str:
return json.dumps(rows, default=str, ensure_ascii=False)
def _date(value: str | None) -> date | None:
return date.fromisoformat(value) if value else None
@mcp.tool()
def search(query: str, limit: int = 10, since: str | None = None, until: str | None = None,
exclude_sources: list[str] | None = None) -> str:
"""Hybrid (keyword + semantic) search over all claims and documents. Dates as YYYY-MM-DD."""
with connection() as conn:
return _dump(queries.search(conn, query, sources=SourceFilter(exclude_sources or []), since=_date(since),
until=_date(until), limit=limit))
@mcp.tool()
def find_person(name: str, status: str = "all") -> str:
"""Find politicians by (part of) their name. status: active | former | party_member | deceased | all."""
with connection() as conn:
return _dump(queries.list_persons(conn, q=name, status=None if status == "all" else status, limit=20))
@mcp.tool()
def get_person(slug: str) -> str:
"""Profile: activity status, roles/mandates over time (with sources), social accounts, claim counts."""
with connection() as conn:
return _dump(queries.get_person(conn, slug))
@mcp.tool()
def person_network(slug: str) -> str:
"""Organisations connected to a person (side jobs, career, party, meetings, lobby contacts) with the
money those organisations paid or received (donations, public contracts, government ads)."""
with connection() as conn:
return _dump(queries.person_network(conn, slug))
@mcp.tool()
def list_parties() -> str:
"""All parties with number of currently active officials."""
with connection() as conn:
return _dump(queries.list_parties(conn))
@mcp.tool()
def get_party(slug: str) -> str:
"""Party overview: current officials, former members, money per year, finance reports, votes, dissenters,
affiliated organisations and holdings."""
with connection() as conn:
return _dump(queries.get_party(conn, slug))
@mcp.tool()
def find_organization(name: str, kind: str | None = None) -> str:
"""Find organisations (companies, associations, public bodies, media, lobby groups) by name.
kind: party | company | association | public_body | ministry | media | ngo | eu_institution | other."""
with connection() as conn:
return _dump(queries.list_organizations(conn, q=name, kind=kind, limit=20))
@mcp.tool()
def get_organization(slug: str) -> str:
"""Organisation profile: identifiers (Firmenbuch, UID, EU transparency register), money paid/received by
kind, top counterparties and connected people."""
with connection() as conn:
return _dump(queries.get_organization(conn, slug))
@mcp.tool()
def list_claims(
person: str | None = None,
party: str | None = None,
organization: str | None = None,
claim_types: list[str] | None = None,
topics: list[str] | None = None,
since: str | None = None,
until: str | None = None,
limit: int = 30,
exclude_sources: list[str] | None = None,
min_trust: int = 0,
) -> str:
"""Claims about a person/party/organisation, newest first. claim_types: role, vote, donation, money_flow,
statement, appearance, meeting, travel, side_job, legal_proceeding, lobbying, media_mention, career,
parliamentary_question, government_decision, wiki_edit, declaration, ownership, affiliation, party_finance.
Dates as YYYY-MM-DD."""
with connection() as conn:
return _dump(queries.list_claims(
conn, sources=SourceFilter(exclude_sources or [], min_trust), person=person, party=party,
organization=organization, claim_types=claim_types, topics=topics, since=_date(since),
until=_date(until), limit=limit))
@mcp.tool()
def money_flows(kinds: list[str] | None = None, organization: str | None = None, person: str | None = None,
query: str | None = None, since: str | None = None, until: str | None = None,
min_amount: float | None = None, limit: int = 30) -> str:
"""Money flows from official registers. kinds: donation, contract, government_ad, political_ad, subsidy,
party_funding, party_ad, loan, side_income, sponsorship. `person` = flows of organisations connected to
that person. Dates as YYYY-MM-DD."""
with connection() as conn:
return _dump(queries.list_money(conn, sources=SourceFilter(), kinds=kinds, org=organization, person=person,
q=query, since=_date(since), until=_date(until), min_amount=min_amount,
limit=limit))
@mcp.tool()
def social_posts(person: str | None = None, party: str | None = None, platforms: list[str] | None = None,
limit: int = 30) -> str:
"""Public posts from politicians' accounts. platforms: bluesky, mastodon, telegram, youtube."""
with connection() as conn:
return _dump(queries.social_feed(conn, sources=SourceFilter(), person=person, party=party,
platforms=platforms, limit=limit))
@mcp.tool()
def wikipedia_edits(limit: int = 50) -> str:
"""Wikipedia edits made from IP ranges of parliament/government (anonymous edits only)."""
with connection() as conn:
return _dump(queries.wiki_edits(conn, limit=limit))
@mcp.tool()
def calendar(start: str, end: str, person: str | None = None, party: str | None = None) -> str:
"""Events (sessions, hearings, council of ministers, trips, meetings) and per-day activity between two dates."""
with connection() as conn:
return _dump(queries.calendar(conn, sources=SourceFilter(), start=date.fromisoformat(start),
end=date.fromisoformat(end), person=person, party=party))
@mcp.tool()
def person_votes(slug: str, topics: list[str] | None = None, limit: int = 50) -> str:
"""Votes: individual roll-call votes (with dissent flag) and faction votes during the person's mandates.
`spoke` links a speech by the person on the same item (say vs. vote)."""
with connection() as conn:
return _dump(queries.person_votes(conn, slug, topics=topics, limit=limit))
@mcp.tool()
def former_politicians(party: str | None = None, limit: int = 30) -> str:
"""Former politicians with their latest news coverage and career entries."""
with connection() as conn:
return _dump(queries.former_overview(conn, party=party, limit=limit))
@mcp.tool()
def list_topics() -> str:
"""Topic taxonomy (slugs usable as filters)."""
with connection() as conn:
return _dump(queries.list_topics(conn))
def serve(host: str, port: int) -> None:
mcp.settings.host = host
mcp.settings.port = port
mcp.run(transport="streamable-http")
backend/politrack/migrate.py
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"""Minimal forward-only SQL migration runner (files in backend/migrations)."""
import logging
from pathlib import Path
import psycopg
from psycopg import sql
from politrack.config import get_settings
log = logging.getLogger(__name__)
MIGRATIONS_DIR = Path(__file__).resolve().parent.parent / "migrations"
def migrate() -> None:
settings = get_settings()
with psycopg.connect(settings.database_url, autocommit=False) as conn:
conn.execute(
"CREATE TABLE IF NOT EXISTS schema_migrations ("
" name TEXT PRIMARY KEY, applied_at TIMESTAMPTZ NOT NULL DEFAULT now())"
)
applied = {r[0] for r in conn.execute("SELECT name FROM schema_migrations")}
for path in sorted(MIGRATIONS_DIR.glob("*.sql")):
if path.name in applied:
continue
log.info("applying %s", path.name)
conn.execute(path.read_text(encoding="utf-8"))
conn.execute("INSERT INTO schema_migrations (name) VALUES (%s)", (path.name,))
conn.commit()
if settings.reader_password:
conn.execute(
sql.SQL("ALTER ROLE politrack_reader PASSWORD {}").format(sql.Literal(settings.reader_password))
)
conn.commit()
backend/politrack/openapi_ts.py
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"""Generate TypeScript types from the OpenAPI schema (no npm needed).
Supports the JSON-Schema subset FastAPI/Pydantic emit: objects, arrays, enums/Literals, anyOf with null,
$ref, additionalProperties, primitive formats. Output: one `export type X = {...}` per component schema
plus `Paths` mapping GET endpoints to their response types.
"""
from __future__ import annotations
from typing import Any
HEADER = "// Generated by `politrack openapi --ts` from the FastAPI schema. Do not edit by hand.\n\n"
def ts_type(schema: dict[str, Any]) -> str:
if "$ref" in schema:
return schema["$ref"].rsplit("/", 1)[-1]
if "const" in schema:
return _literal(schema["const"])
if "enum" in schema:
return " | ".join(_literal(v) for v in schema["enum"])
for key in ("anyOf", "oneOf"):
if key in schema:
parts = []
for sub in schema[key]:
part = ts_type(sub)
if part not in parts:
parts.append(part)
return " | ".join(parts)
kind = schema.get("type")
if kind == "array":
inner = ts_type(schema.get("items", {}))
return f"({inner})[]" if "|" in inner else f"{inner}[]"
if kind == "object":
if "properties" in schema:
return _object(schema)
extra = schema.get("additionalProperties")
value = ts_type(extra) if isinstance(extra, dict) and extra else "unknown"
return f"Record<string, {value}>"
if kind in ("integer", "number"):
return "number"
if kind == "boolean":
return "boolean"
if kind == "string":
return "string"
if kind == "null":
return "null"
return "unknown"
def _literal(value: Any) -> str:
return f"'{value}'" if isinstance(value, str) else ("null" if value is None else str(value).lower())
def _object(schema: dict[str, Any], indent: str = "") -> str:
required = set(schema.get("required", []))
lines = ["{"]
for name, prop in schema.get("properties", {}).items():
optional = "" if name in required else "?"
lines.append(f"{indent} {name}{optional}: {ts_type(prop)};")
lines.append(f"{indent}}}")
return "\n".join(lines)
def to_typescript(openapi: dict[str, Any]) -> str:
out = [HEADER]
for name, schema in sorted(openapi.get("components", {}).get("schemas", {}).items()):
if name in ("HTTPValidationError", "ValidationError"):
continue
out.append(f"export type {name} = {ts_type(schema)};\n")
out.append("\nexport type Paths = {")
for path, ops in sorted(openapi.get("paths", {}).items()):
get = ops.get("get")
if not get:
continue
content = get.get("responses", {}).get("200", {}).get("content", {}).get("application/json", {})
out.append(f" '{path}': {ts_type(content.get('schema', {})) if content.get('schema') else 'unknown'};")
out.append("};\n")
return "\n".join(out)
backend/politrack/queries/__init__.py
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"""Read queries shared by the REST API and the MCP server (one module per domain)."""
from politrack.queries.admin import list_sources, list_topics, pending_claims, recent_runs, set_review, stats
from politrack.queries.claims import calendar, list_claims, timeline_histogram
from politrack.queries.common import SourceFilter
from politrack.queries.money import list_money, money_summary, social_feed, wiki_edits
from politrack.queries.organizations import get_organization, get_party, list_organizations, list_parties
from politrack.queries.people import former_overview, get_person, list_persons, person_network
from politrack.queries.search import search
from politrack.queries.votes import list_votes, person_votes, vote_detail
__all__ = [
"SourceFilter", "calendar", "former_overview", "get_organization", "get_party", "get_person", "list_claims",
"list_money", "list_organizations", "list_parties", "list_persons", "list_sources", "list_topics", "list_votes",
"money_summary", "pending_claims", "recent_runs", "person_network", "person_votes", "search", "set_review", "social_feed",
"stats", "timeline_histogram", "vote_detail", "wiki_edits",
]
backend/politrack/queries/admin.py
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"""Sources, topics, statistics, moderation."""
from __future__ import annotations
from psycopg import Connection
def list_sources(conn: Connection) -> list[dict]:
return conn.execute(
"""
SELECT s.slug, s.name, s.kind, s.homepage, s.license, s.access_method, s.default_trust, s.tos_notes,
(SELECT count(*) FROM document d WHERE d.source_id = s.id) AS documents
FROM source s ORDER BY s.kind, s.default_trust DESC, s.name
"""
).fetchall()
def list_topics(conn: Connection) -> list[dict]:
return conn.execute("SELECT slug, name_de, name_en FROM topic ORDER BY name_de").fetchall()
def pending_claims(conn: Connection, limit: int = 50) -> list[dict]:
return conn.execute(
"""
SELECT c.id, c.claim_type, c.summary_de, c.occurred_at, p.full_name,
(SELECT jsonb_agg(jsonb_build_object('url', d.url, 'title', d.title))
FROM claim_evidence e JOIN document d ON d.id = e.document_id WHERE e.claim_id = c.id) AS evidence
FROM claim c LEFT JOIN person p ON p.id = c.person_id
WHERE c.review_status = 'pending' AND c.merged_into IS NULL
ORDER BY c.occurred_at DESC NULLS LAST LIMIT %s
""",
(limit,),
).fetchall()
def set_review(conn: Connection, claim_id: int, decision: str, reviewer: str) -> None:
if decision not in ("published", "rejected"):
raise ValueError("decision must be 'published' or 'rejected'")
conn.execute(
"UPDATE claim SET review_status = %s, reviewed_by = %s, reviewed_at = now() WHERE id = %s",
(decision, reviewer, claim_id),
)
def stats(conn: Connection) -> dict:
return conn.execute(
"""
SELECT (SELECT count(*) FROM person) AS persons,
(SELECT count(*) FROM person_status WHERE status = 'active') AS active_persons,
(SELECT count(*) FROM organization WHERE kind = 'party') AS parties,
(SELECT count(*) FROM claim WHERE merged_into IS NULL AND review_status = 'published') AS claims,
(SELECT count(*) FROM claim WHERE merged_into IS NULL AND status = 'corroborated') AS corroborated,
(SELECT count(*) FROM claim WHERE review_status = 'pending') AS pending_review,
(SELECT count(*) FROM document) AS documents,
(SELECT count(*) FROM vote_event) AS vote_events,
(SELECT count(*) FROM vote_event WHERE roll_call) AS roll_call_votes,
(SELECT count(*) FROM event) AS events,
(SELECT count(*) FROM money_flow) AS money_flows,
(SELECT max(finished_at) FROM run WHERE status IN ('ok', 'partial')) AS last_update
"""
).fetchone()
def recent_runs(conn: Connection, limit: int = 50) -> list[dict]:
return conn.execute(
"SELECT adapter, mode, status, started_at, finished_at, stats, left(error, 2000) AS error FROM run "
"ORDER BY id DESC LIMIT %s",
(limit,),
).fetchall()
backend/politrack/queries/claims.py
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"""Claims (the generic fact list), timeline histogram and calendar."""
from __future__ import annotations
from datetime import date
from psycopg import Connection
from politrack.queries.common import VISIBLE, SourceFilter
def list_claims(
conn: Connection,
*,
sources: SourceFilter,
person: str | None = None,
party: str | None = None,
organization: str | None = None,
claim_types: list[str] | None = None,
topics: list[str] | None = None,
since: date | None = None,
until: date | None = None,
q: str | None = None,
include_pending: bool = False,
limit: int = 50,
offset: int = 0,
) -> list[dict]:
source_sql, params = sources.sql("s")
params.update({
"person": person, "party": party, "organization": organization, "claim_types": claim_types, "topics": topics, "since": since,
"until": until, "q": q, "limit": limit, "offset": offset, "include_pending": include_pending,
})
return conn.execute(
f"""
SELECT c.id, c.claim_type, c.summary_de, c.summary_en, c.occurred_at, c.valid_from, c.valid_to, c.status,
c.sensitive, c.review_status, c.data,
p.slug AS person_slug, p.full_name AS person_name,
o.slug AS organization_slug, o.short_name AS organization_short, o.name AS organization_name,
lp.stage AS legal_stage, lp.offense AS legal_offense, lp.authority AS legal_authority,
cp.slug AS counterpart_slug, cp.name AS counterpart_name, cp.kind AS counterpart_kind,
cpp.slug AS counterpart_person_slug, cpp.full_name AS counterpart_person_name,
to_jsonb(mf) - 'claim_id' AS money, st.platform AS platform,
(SELECT jsonb_agg(jsonb_build_object('slug', t.slug, 'name_de', t.name_de, 'name_en', t.name_en))
FROM topic_assignment ta JOIN topic t ON t.id = ta.topic_id WHERE ta.claim_id = c.id) AS topics,
ev.evidence, ev.source_count
FROM claim c
LEFT JOIN person p ON p.id = c.person_id
LEFT JOIN organization o ON o.id = c.organization_id
LEFT JOIN legal_proceeding lp ON lp.claim_id = c.id
LEFT JOIN organization cp ON cp.id = c.counterpart_org_id
LEFT JOIN person cpp ON cpp.id = c.counterpart_person_id
LEFT JOIN money_flow mf ON mf.claim_id = c.id
LEFT JOIN statement st ON st.claim_id = c.id
CROSS JOIN LATERAL (
SELECT jsonb_agg(jsonb_build_object(
'url', d.url, 'title', d.title, 'source', s.slug, 'source_name', s.name, 'source_kind', s.kind,
'published_at', d.published_at, 'quote', e.quote, 'stance', e.stance, 'archive_url', d.archive_url)
ORDER BY s.default_trust DESC, d.published_at) AS evidence,
count(DISTINCT s.id) AS source_count
FROM claim_evidence e JOIN document d ON d.id = e.document_id JOIN source s ON s.id = d.source_id
WHERE e.claim_id = c.id AND {source_sql}
) ev
WHERE ev.evidence IS NOT NULL AND {VISIBLE}
AND (%(person)s::text IS NULL OR p.slug = %(person)s OR cpp.slug = %(person)s)
AND (%(party)s::text IS NULL OR o.slug = %(party)s
OR c.counterpart_org_id = (SELECT id FROM organization WHERE slug = %(party)s))
AND (%(organization)s::text IS NULL OR o.slug = %(organization)s
OR c.counterpart_org_id = (SELECT id FROM organization WHERE slug = %(organization)s))
AND (%(claim_types)s::text[] IS NULL OR c.claim_type = ANY(%(claim_types)s))
AND (%(topics)s::text[] IS NULL OR c.claim_type IN ('role', 'career') OR EXISTS (
SELECT 1 FROM topic_assignment ta JOIN topic t ON t.id = ta.topic_id
WHERE ta.claim_id = c.id AND t.slug = ANY(%(topics)s)))
AND (%(since)s::date IS NULL OR COALESCE(c.occurred_at::date, c.valid_to, c.valid_from, current_date) >= %(since)s)
AND (%(until)s::date IS NULL OR COALESCE(c.occurred_at::date, c.valid_from) <= %(until)s)
AND (%(q)s::text IS NULL OR c.summary_de ILIKE '%%' || %(q)s || '%%')
ORDER BY COALESCE(c.occurred_at, c.valid_from::timestamptz, c.created_at) DESC, c.id DESC
LIMIT %(limit)s OFFSET %(offset)s
""",
params,
).fetchall()
def timeline_histogram(conn: Connection, *, sources: SourceFilter, person: str | None = None,
party: str | None = None) -> list[dict]:
"""Claim counts per month and type - drives the timeline overview."""
source_sql, params = sources.sql("s")
params.update({"person": person, "party": party, "include_pending": False})
return conn.execute(
f"""
SELECT to_char(date_trunc('month', COALESCE(c.occurred_at, c.valid_from::timestamptz)), 'YYYY-MM') AS month,
c.claim_type, count(DISTINCT c.id) AS count
FROM claim c
LEFT JOIN person p ON p.id = c.person_id
LEFT JOIN person cpp ON cpp.id = c.counterpart_person_id
LEFT JOIN organization o ON o.id = c.organization_id
JOIN claim_evidence e ON e.claim_id = c.id JOIN document d ON d.id = e.document_id
JOIN source s ON s.id = d.source_id
WHERE {VISIBLE} AND {source_sql} AND COALESCE(c.occurred_at, c.valid_from::timestamptz) IS NOT NULL
AND (%(person)s::text IS NULL OR p.slug = %(person)s OR cpp.slug = %(person)s)
AND (%(party)s::text IS NULL OR o.slug = %(party)s)
AND c.claim_type <> 'role'
GROUP BY 1, 2 ORDER BY 1
""",
params,
).fetchall()
def calendar(conn: Connection, *, sources: SourceFilter, start: date, end: date, person: str | None = None,
party: str | None = None, kinds: list[str] | None = None) -> dict:
"""Events (sessions, trips, meetings, appearances) plus per-day claim counts in [start, end]."""
source_sql, params = sources.sql("s")
params.update({"start": start, "end": end, "person": person, "party": party, "kinds": kinds,
"include_pending": False})
events = conn.execute(
"""
SELECT ev.id, ev.kind, ev.title, ev.starts_at, ev.ends_at, ev.location_name, ev.country, ev.url,
ev.description, o.name AS body,
COALESCE(jsonb_agg(DISTINCT jsonb_build_object('slug', p.slug, 'name', p.full_name))
FILTER (WHERE p.id IS NOT NULL), '[]'::jsonb) AS participants
FROM event ev
LEFT JOIN organization o ON o.id = ev.organization_id
LEFT JOIN event_participant ep ON ep.event_id = ev.id
LEFT JOIN claim c ON c.id = ep.claim_id
LEFT JOIN person p ON p.id = ep.person_id AND c.merged_into IS NULL
WHERE ev.starts_at::date BETWEEN %(start)s AND %(end)s
AND (%(kinds)s::text[] IS NULL OR ev.kind = ANY(%(kinds)s))
AND (%(person)s::text IS NULL OR EXISTS (
SELECT 1 FROM event_participant ep2 JOIN person p2 ON p2.id = ep2.person_id
JOIN claim c2 ON c2.id = ep2.claim_id AND c2.merged_into IS NULL
WHERE ep2.event_id = ev.id AND p2.slug = %(person)s))
AND (%(party)s::text IS NULL OR EXISTS (
SELECT 1 FROM event_participant ep3 JOIN person_status ps3 ON ps3.person_id = ep3.person_id
JOIN organization o3 ON o3.id = ANY(ps3.current_party_ids)
WHERE ep3.event_id = ev.id AND o3.slug = %(party)s))
GROUP BY ev.id, o.name
ORDER BY ev.starts_at
LIMIT 2000
""",
params,
).fetchall()
days = conn.execute(
f"""
SELECT c.occurred_at::date AS day, c.claim_type, count(DISTINCT c.id) AS count
FROM claim c
LEFT JOIN person p ON p.id = c.person_id
LEFT JOIN person cpp ON cpp.id = c.counterpart_person_id
LEFT JOIN organization o ON o.id = c.organization_id
JOIN claim_evidence e ON e.claim_id = c.id JOIN document d ON d.id = e.document_id
JOIN source s ON s.id = d.source_id
WHERE {VISIBLE} AND {source_sql} AND c.occurred_at::date BETWEEN %(start)s AND %(end)s
AND (%(person)s::text IS NULL OR p.slug = %(person)s OR cpp.slug = %(person)s)
AND (%(party)s::text IS NULL OR o.slug = %(party)s)
GROUP BY 1, 2 ORDER BY 1
""",
params,
).fetchall()
return {"events": events, "days": days}
backend/politrack/queries/common.py
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"""Rules shared by all read queries.
* Source filtering happens at the evidence level: a claim is returned only if at least one document comes
from an allowed source, and only allowed evidence is shown.
* Claims merged into another claim (corroboration) are hidden; the survivor carries all evidence.
* Claims pending human review are hidden unless include_pending is set (moderation).
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any
VISIBLE = ("c.merged_into IS NULL AND (c.review_status = 'published' OR "
"(%(include_pending)s AND c.review_status = 'pending'))")
@dataclass
class SourceFilter:
exclude_sources: list[str] = field(default_factory=list)
min_trust: int = 0
def sql(self, alias: str = "s") -> tuple[str, dict[str, Any]]:
return (
f"(NOT ({alias}.slug = ANY(%(exclude_sources)s)) AND {alias}.default_trust >= %(min_trust)s)",
{"exclude_sources": self.exclude_sources, "min_trust": self.min_trust},
)
def evidence_json(source_sql: str) -> str:
"""Lateral subquery aggregating the allowed evidence of claim `c`."""
return f"""
CROSS JOIN LATERAL (
SELECT jsonb_agg(jsonb_build_object(
'url', d.url, 'title', d.title, 'source', s.slug, 'source_name', s.name, 'source_kind', s.kind,
'published_at', d.published_at, 'quote', e.quote, 'stance', e.stance, 'archive_url', d.archive_url)
ORDER BY s.default_trust DESC, d.published_at) AS evidence,
count(DISTINCT s.id) AS source_count
FROM claim_evidence e JOIN document d ON d.id = e.document_id JOIN source s ON s.id = d.source_id
WHERE e.claim_id = c.id AND {source_sql}
) ev"""
backend/politrack/queries/money.py
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"""Money flows (donations, contracts, government ads, party funding, political ads), social posts, wiki edits."""
from __future__ import annotations
from datetime import date
from psycopg import Connection
from politrack.queries.common import VISIBLE, SourceFilter, evidence_json
def list_money(conn: Connection, *, sources: SourceFilter, kinds: list[str] | None = None, org: str | None = None,
person: str | None = None, q: str | None = None, since: date | None = None, until: date | None = None,
min_amount: float | None = None, limit: int = 50, offset: int = 0) -> list[dict]:
"""Money flows, filterable by kind, organisation (either side), connected person and period.
`person` = flows of organisations connected to that person (side jobs, careers, party) - the
"follow the money" view.
"""
source_sql, params = sources.sql("s")
params.update({"kinds": kinds, "org": org, "person": person, "q": q, "since": since, "until": until,
"min_amount": min_amount, "limit": limit, "offset": offset, "include_pending": False})
return conn.execute(
f"""
WITH person_orgs AS (
SELECT c.counterpart_org_id AS org_id FROM claim c JOIN person p ON p.id = c.person_id
WHERE p.slug = %(person)s AND c.counterpart_org_id IS NOT NULL AND c.merged_into IS NULL
UNION SELECT r.party_id FROM role r JOIN person p ON p.id = r.person_id WHERE p.slug = %(person)s
)
SELECT c.id, c.summary_de, c.summary_en, c.occurred_at, c.status, c.data, mf.kind, mf.amount, mf.amount_category,
mf.currency, mf.paid_on, mf.period, mf.reference, mf.category, mf.payer_name, mf.payee_name,
pa.slug AS payer_slug, pa.kind AS payer_kind, pe.slug AS payee_slug, pe.kind AS payee_kind,
ev.evidence, ev.source_count
FROM money_flow mf
JOIN claim c ON c.id = mf.claim_id
LEFT JOIN organization pa ON pa.id = mf.payer_org_id
LEFT JOIN organization pe ON pe.id = mf.payee_org_id
{evidence_json(source_sql)}
WHERE ev.evidence IS NOT NULL AND {VISIBLE}
AND (%(kinds)s::text[] IS NULL OR mf.kind = ANY(%(kinds)s))
AND (%(org)s::text IS NULL OR pa.slug = %(org)s OR pe.slug = %(org)s)
AND (%(person)s::text IS NULL OR mf.payer_org_id IN (SELECT org_id FROM person_orgs)
OR mf.payee_org_id IN (SELECT org_id FROM person_orgs))
AND (%(q)s::text IS NULL OR mf.payer_name ILIKE '%%' || %(q)s || '%%' OR mf.payee_name ILIKE '%%' || %(q)s || '%%'
OR c.summary_de ILIKE '%%' || %(q)s || '%%')
AND (%(since)s::date IS NULL OR COALESCE(mf.paid_on, c.occurred_at::date, c.valid_from) >= %(since)s)
AND (%(until)s::date IS NULL OR COALESCE(mf.paid_on, c.occurred_at::date, c.valid_from) <= %(until)s)
AND (%(min_amount)s::numeric IS NULL OR mf.amount >= %(min_amount)s)
ORDER BY COALESCE(mf.paid_on, c.occurred_at::date, c.valid_from) DESC NULLS LAST, mf.amount DESC NULLS LAST
LIMIT %(limit)s OFFSET %(offset)s
""",
params,
).fetchall()
def money_summary(conn: Connection, *, kinds: list[str] | None = None, since: date | None = None) -> list[dict]:
"""Top payers/payees per kind (for the money overview page)."""
return conn.execute(
"""
SELECT mf.kind, o.slug, o.name, o.kind AS org_kind,
CASE WHEN o.id = mf.payer_org_id THEN 'payer' ELSE 'payee' END AS side,
sum(mf.amount) AS total, count(*) AS count
FROM money_flow mf JOIN claim c ON c.id = mf.claim_id AND c.merged_into IS NULL
JOIN organization o ON o.id IN (mf.payer_org_id, mf.payee_org_id)
WHERE (%(kinds)s::text[] IS NULL OR mf.kind = ANY(%(kinds)s))
AND (%(since)s::date IS NULL OR COALESCE(mf.paid_on, c.valid_from) >= %(since)s)
GROUP BY 1, 2, 3, 4, 5
ORDER BY total DESC NULLS LAST LIMIT 100
""",
{"kinds": kinds, "since": since},
).fetchall()
def social_feed(conn: Connection, *, sources: SourceFilter, person: str | None = None, party: str | None = None,
platforms: list[str] | None = None, limit: int = 50, offset: int = 0) -> list[dict]:
"""Public posts of politicians and of party/institution channels (`party` = the party's own channels
plus posts of its current members)."""
source_sql, params = sources.sql("s")
params.update({"person": person, "party": party, "platforms": platforms, "limit": limit, "offset": offset,
"include_pending": False})
return conn.execute(
f"""
SELECT c.id, st.platform, st.said_at, st.excerpt, st.url, st.title, c.data, p.slug AS person_slug,
p.full_name AS person_name, o.slug AS org_slug, o.name AS org_name, ev.evidence
FROM statement st JOIN claim c ON c.id = st.claim_id
LEFT JOIN person p ON p.id = st.person_id
LEFT JOIN organization o ON o.id = c.organization_id AND st.person_id IS NULL
{evidence_json(source_sql)}
WHERE st.context = 'social_post' AND ev.evidence IS NOT NULL AND {VISIBLE}
AND (%(person)s::text IS NULL OR p.slug = %(person)s)
AND (%(platforms)s::text[] IS NULL OR st.platform = ANY(%(platforms)s))
AND (%(party)s::text IS NULL OR o.slug = %(party)s OR EXISTS (
SELECT 1 FROM person_status ps JOIN organization po ON po.id = ANY(ps.current_party_ids)
WHERE ps.person_id = p.id AND po.slug = %(party)s))
ORDER BY st.said_at DESC NULLS LAST
LIMIT %(limit)s OFFSET %(offset)s
""",
params,
).fetchall()
def wiki_edits(conn: Connection, *, limit: int = 100, offset: int = 0) -> list[dict]:
return conn.execute(
"""
SELECT c.id, c.occurred_at, c.summary_de, c.summary_en, c.data, o.slug AS org_slug, o.name AS org_name,
p.slug AS person_slug, p.full_name AS person_name,
(SELECT d.url FROM claim_evidence e JOIN document d ON d.id = e.document_id WHERE e.claim_id = c.id LIMIT 1) AS url
FROM claim c JOIN organization o ON o.id = c.organization_id
LEFT JOIN person p ON p.id = c.counterpart_person_id
WHERE c.claim_type = 'wiki_edit' AND c.merged_into IS NULL
ORDER BY c.occurred_at DESC NULLS LAST LIMIT %s OFFSET %s
""",
(limit, offset),
).fetchall()
backend/politrack/queries/organizations.py
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"""Parties and organisations (companies, public bodies, media owners, lobby groups)."""
from __future__ import annotations
from psycopg import Connection
def list_parties(conn: Connection) -> list[dict]:
return conn.execute(
"""
SELECT o.slug, o.name, o.short_name, o.color, o.logo_url,
(SELECT count(*) FROM person_status ps WHERE ps.status = 'active' AND o.id = ANY(ps.current_party_ids))
AS active_officials,
count(DISTINCT r.person_id) AS total_people
FROM organization o LEFT JOIN role r ON r.party_id = o.id
WHERE o.kind = 'party'
GROUP BY o.id
ORDER BY active_officials DESC, total_people DESC, o.name
"""
).fetchall()
def get_party(conn: Connection, slug: str) -> dict | None:
party = conn.execute(
"SELECT id, slug, name, short_name, color, logo_url, kind FROM organization WHERE slug = %s", (slug,)
).fetchone()
if not party:
return None
pid = party["id"]
party["members"] = conn.execute(
"""
SELECT DISTINCT ON (p.id) p.slug, p.full_name, p.photo_url, r.role, r.level, r.region, r.start_date,
ch.name AS body
FROM role r
JOIN claim c ON c.id = r.claim_id AND c.merged_into IS NULL
JOIN person p ON p.id = r.person_id
JOIN person_status ps ON ps.person_id = p.id AND ps.status = 'active'
LEFT JOIN organization ch ON ch.id = r.organization_id
WHERE r.party_id = %s AND (r.end_date IS NULL OR r.end_date >= current_date) AND r.level <> 'party'
AND r.role = ANY(ps.current_roles)
ORDER BY p.id, CASE r.level WHEN 'eu' THEN 0 WHEN 'federal' THEN 1 WHEN 'state' THEN 2 ELSE 3 END
""",
(pid,),
).fetchall()
party["former_members"] = conn.execute(
"""
SELECT p.slug, p.full_name, ps.last_office_end,
(SELECT max(c.occurred_at) FROM claim c WHERE c.person_id = p.id AND c.claim_type = 'media_mention')
AS last_mention
FROM person p JOIN person_status ps ON ps.person_id = p.id
WHERE ps.status IN ('former', 'party_member') AND EXISTS (SELECT 1 FROM role r WHERE r.person_id = p.id AND r.party_id = %s)
ORDER BY last_mention DESC NULLS LAST, ps.last_office_end DESC NULLS LAST LIMIT 50
""",
(pid,),
).fetchall()
party["money_by_year"] = conn.execute(
"""
SELECT COALESCE(extract(year FROM mf.paid_on)::int, left(mf.period, 4)::int) AS year, mf.kind,
sum(mf.amount) AS total, count(*) AS count
FROM money_flow mf JOIN claim c ON c.id = mf.claim_id AND c.merged_into IS NULL
WHERE (mf.payee_org_id = %(id)s OR c.organization_id = %(id)s)
AND mf.kind IN ('donation', 'sponsorship', 'party_ad', 'party_funding', 'loan')
AND COALESCE(mf.paid_on::text, mf.period) ~ '^\\d{4}'
GROUP BY 1, 2 ORDER BY 1 DESC, 2
""",
{"id": pid},
).fetchall()
party["finance"] = conn.execute(
"""SELECT c.data, c.valid_from FROM claim c WHERE c.organization_id = %s AND c.claim_type = 'party_finance'
AND c.merged_into IS NULL ORDER BY c.valid_from DESC NULLS LAST LIMIT 5""",
(pid,),
).fetchall()
party["vote_stats"] = conn.execute(
"SELECT vp.position, count(*) AS count FROM vote_position vp WHERE vp.organization_id = %s GROUP BY 1", (pid,)
).fetchall()
party["dissent"] = conn.execute(
"""
SELECT p.slug, p.full_name, count(*) AS dissenting_votes
FROM vote_position vp
JOIN person p ON p.id = vp.person_id
JOIN vote_position fp ON fp.vote_event_id = vp.vote_event_id AND fp.organization_id = vp.party_id
WHERE vp.party_id = %s AND vp.position <> fp.position
GROUP BY p.id ORDER BY dissenting_votes DESC LIMIT 20
""",
(pid,),
).fetchall()
party["related"] = conn.execute(
"""SELECT c.claim_type, o.slug, o.name, o.kind FROM claim c JOIN organization o ON o.id = c.counterpart_org_id
WHERE c.organization_id = %s AND c.claim_type IN ('ownership', 'affiliation') AND c.merged_into IS NULL
ORDER BY c.claim_type, o.name""",
(pid,),
).fetchall()
return party
def list_organizations(conn: Connection, *, q: str | None = None, kind: str | None = None, limit: int = 50,
offset: int = 0) -> list[dict]:
return conn.execute(
"""
SELECT o.slug, o.name, o.short_name, o.kind,
(SELECT sum(amount) FROM money_flow WHERE payer_org_id = o.id) AS paid,
(SELECT sum(amount) FROM money_flow WHERE payee_org_id = o.id) AS received
FROM organization o
WHERE (%(q)s::text IS NULL OR o.name ILIKE '%%' || %(q)s || '%%'
OR EXISTS (SELECT 1 FROM alias a WHERE a.entity_type = 'organization' AND a.entity_id = o.id
AND a.alias_norm LIKE '%%' || lower(unaccent(%(q)s)) || '%%'))
AND (%(kind)s::text IS NULL OR o.kind = %(kind)s)
ORDER BY COALESCE((SELECT sum(amount) FROM money_flow WHERE payer_org_id = o.id OR payee_org_id = o.id), 0) DESC,
o.name
LIMIT %(limit)s OFFSET %(offset)s
""",
{"q": q, "kind": kind, "limit": limit, "offset": offset},
).fetchall()
def get_organization(conn: Connection, slug: str) -> dict | None:
org = conn.execute(
"""SELECT o.id, o.slug, o.name, o.short_name, o.kind, parent.slug AS parent_slug, parent.name AS parent_name,
(SELECT jsonb_object_agg(i.scheme, i.value) FROM identifier i
WHERE i.entity_type = 'organization' AND i.entity_id = o.id) AS identifiers
FROM organization o LEFT JOIN organization parent ON parent.id = o.parent_id WHERE o.slug = %s""",
(slug,),
).fetchone()
if not org:
return None
oid = org["id"]
org["money"] = conn.execute(
"""
SELECT mf.kind, CASE WHEN mf.payer_org_id = %(id)s THEN 'paid' ELSE 'received' END AS direction,
sum(mf.amount) AS total, count(*) AS count, min(COALESCE(mf.paid_on::text, mf.period)) AS first,
max(COALESCE(mf.paid_on::text, mf.period)) AS last
FROM money_flow mf JOIN claim c ON c.id = mf.claim_id AND c.merged_into IS NULL
WHERE mf.payer_org_id = %(id)s OR mf.payee_org_id = %(id)s
GROUP BY 1, 2 ORDER BY 3 DESC NULLS LAST
""",
{"id": oid},
).fetchall()
org["counterparties"] = conn.execute(
"""
SELECT o.slug, o.name, o.kind, mf.kind AS money_kind,
CASE WHEN mf.payer_org_id = %(id)s THEN 'paid_to' ELSE 'received_from' END AS direction,
sum(mf.amount) AS total, count(*) AS count
FROM money_flow mf JOIN claim c ON c.id = mf.claim_id AND c.merged_into IS NULL
JOIN organization o ON o.id = CASE WHEN mf.payer_org_id = %(id)s THEN mf.payee_org_id ELSE mf.payer_org_id END
WHERE mf.payer_org_id = %(id)s OR mf.payee_org_id = %(id)s
GROUP BY 1, 2, 3, 4, 5 ORDER BY total DESC NULLS LAST LIMIT 50
""",
{"id": oid},
).fetchall()
org["people"] = conn.execute(
"""
SELECT DISTINCT ON (p.id, c.claim_type) p.slug, p.full_name, c.claim_type AS via, c.summary_de
FROM claim c JOIN person p ON p.id = c.person_id
WHERE c.counterpart_org_id = %(id)s AND c.merged_into IS NULL AND c.review_status = 'published'
AND c.claim_type IN ('side_job', 'career', 'meeting', 'role', 'lobbying')
ORDER BY p.id, c.claim_type LIMIT 100
""",
{"id": oid},
).fetchall()
return org
backend/politrack/queries/people.py
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"""Persons: lists, profiles, former politicians, connections (network)."""
from __future__ import annotations
from psycopg import Connection
def list_persons(conn: Connection, *, q: str | None = None, party: str | None = None, level: str | None = None,
status: str | None = "active", limit: int = 50, offset: int = 0) -> list[dict]:
"""status: active | former | party_member | deceased | None (all)."""
return conn.execute(
"""
SELECT p.slug, p.full_name, p.photo_url, ps.status, ps.verified AS status_verified, ps.last_office_end,
ps.current_roles,
(SELECT jsonb_agg(DISTINCT jsonb_build_object('slug', o.slug, 'short_name', o.short_name, 'color', o.color))
FROM organization o WHERE o.id = ANY(ps.current_party_ids)) AS parties
FROM person p
JOIN person_status ps ON ps.person_id = p.id
WHERE (%(status)s::text IS NULL OR ps.status = %(status)s)
AND (%(q)s::text IS NULL OR p.full_name ILIKE '%%' || %(q)s || '%%'
OR EXISTS (SELECT 1 FROM alias a WHERE a.entity_type = 'person' AND a.entity_id = p.id
AND a.alias_norm LIKE '%%' || lower(unaccent(%(q)s)) || '%%'))
AND (%(party)s::text IS NULL OR EXISTS (
SELECT 1 FROM role r JOIN organization o ON o.id = r.party_id
WHERE r.person_id = p.id AND o.slug = %(party)s
AND (ps.status <> 'active' OR o.id = ANY(ps.current_party_ids))))
AND (%(level)s::text IS NULL OR EXISTS (
SELECT 1 FROM role r WHERE r.person_id = p.id AND r.level = %(level)s
AND (ps.status <> 'active' OR r.role = ANY(ps.current_roles))))
AND EXISTS (SELECT 1 FROM role r WHERE r.person_id = p.id)
ORDER BY p.family_name NULLS LAST, p.full_name
LIMIT %(limit)s OFFSET %(offset)s
""",
{"q": q, "party": party, "level": level, "status": status, "limit": limit, "offset": offset},
).fetchall()
def get_person(conn: Connection, slug: str) -> dict | None:
person = conn.execute(
"""
SELECT p.id, p.slug, p.full_name, p.given_name, p.family_name, p.honorific_prefix, p.birth_date, p.death_date,
p.photo_url, pi.wikidata_qid, pi.parlament_pad, pi.ep_id, p.summary_de, p.summary_en, ps.status,
ps.verified AS status_verified, ps.last_office_end
FROM person p JOIN person_status ps ON ps.person_id = p.id JOIN person_identifier pi ON pi.person_id = p.id
WHERE p.slug = %s
""",
(slug,),
).fetchone()
if not person:
return None
person["roles"] = conn.execute(
"""
SELECT r.role, r.level, r.region, r.start_date, r.end_date, o.name AS body, o.slug AS body_slug,
pa.slug AS party_slug, pa.short_name AS party_short, pa.color AS party_color, c.status AS claim_status,
(SELECT jsonb_agg(DISTINCT jsonb_build_object('url', d.url, 'source', s.slug))
FROM claim_evidence e JOIN document d ON d.id = e.document_id JOIN source s ON s.id = d.source_id
WHERE e.claim_id = r.claim_id) AS evidence
FROM role r
JOIN claim c ON c.id = r.claim_id AND c.merged_into IS NULL
LEFT JOIN organization o ON o.id = r.organization_id
LEFT JOIN organization pa ON pa.id = r.party_id
WHERE r.person_id = %s
ORDER BY r.end_date DESC NULLS FIRST, r.start_date DESC NULLS LAST
""",
(person["id"],),
).fetchall()
person["social_accounts"] = conn.execute(
"SELECT platform, handle, url, verified FROM social_account WHERE person_id = %s ORDER BY verified DESC, platform",
(person["id"],),
).fetchall()
person["claim_counts"] = {
r["claim_type"]: r["count"]
for r in conn.execute(
"SELECT claim_type, count(*) AS count FROM claim WHERE person_id = %s AND merged_into IS NULL "
"AND review_status = 'published' GROUP BY claim_type",
(person["id"],),
)
}
return person
def former_overview(conn: Connection, *, party: str | None = None, limit: int = 50, offset: int = 0) -> list[dict]:
"""Former politicians, most recently in the news first ("Was macht eigentlich ...?")."""
return conn.execute(
"""
SELECT p.slug, p.full_name, p.photo_url, ps.status, ps.last_office_end,
(SELECT r.role FROM role r JOIN claim c ON c.id = r.claim_id AND c.merged_into IS NULL
WHERE r.person_id = p.id AND r.level <> 'party' ORDER BY r.end_date DESC NULLS LAST LIMIT 1) AS last_role,
latest.summary_de AS latest_news, latest.occurred_at AS latest_news_at, latest.url AS latest_news_url,
career.summary_de AS latest_career
FROM person p
JOIN person_status ps ON ps.person_id = p.id
LEFT JOIN LATERAL (
SELECT c.summary_de, c.occurred_at, d.url FROM claim c
JOIN claim_evidence e ON e.claim_id = c.id JOIN document d ON d.id = e.document_id
WHERE c.person_id = p.id AND c.claim_type IN ('media_mention', 'statement') AND c.merged_into IS NULL
ORDER BY c.occurred_at DESC NULLS LAST LIMIT 1) latest ON true
LEFT JOIN LATERAL (
SELECT c.summary_de FROM claim c WHERE c.person_id = p.id AND c.claim_type = 'career'
AND c.merged_into IS NULL ORDER BY c.valid_from DESC NULLS LAST LIMIT 1) career ON true
WHERE ps.status IN ('former', 'party_member')
AND (%(party)s::text IS NULL OR EXISTS (
SELECT 1 FROM role r JOIN organization o ON o.id = r.party_id
WHERE r.person_id = p.id AND o.slug = %(party)s))
AND (latest.occurred_at IS NOT NULL OR career.summary_de IS NOT NULL)
ORDER BY latest.occurred_at DESC NULLS LAST, ps.last_office_end DESC NULLS LAST
LIMIT %(limit)s OFFSET %(offset)s
""",
{"party": party, "limit": limit, "offset": offset},
).fetchall()
def person_network(conn: Connection, slug: str) -> dict:
"""Organisations connected to a person and what flows through them.
Connections: employers/boards from side-job disclosures and careers, parties, orgs met (meetings).
For each organisation: donations it made, contracts it won, ads/funding it received or paid.
"""
person = conn.execute("SELECT id FROM person WHERE slug = %s", (slug,)).fetchone()
if not person:
return {"organizations": []}
orgs = conn.execute(
"""
WITH links AS (
SELECT c.counterpart_org_id AS org_id, c.claim_type AS via, max(c.summary_de) AS label
FROM claim c
WHERE c.person_id = %(pid)s AND c.counterpart_org_id IS NOT NULL AND c.merged_into IS NULL
AND c.review_status = 'published'
AND c.claim_type IN ('side_job', 'career', 'meeting', 'role', 'lobbying')
GROUP BY 1, 2
UNION
SELECT r.party_id, 'party', NULL FROM role r WHERE r.person_id = %(pid)s AND r.party_id IS NOT NULL
)
SELECT o.id, o.slug, o.name, o.kind, array_agg(DISTINCT l.via) AS via, max(l.label) AS label,
(SELECT jsonb_object_agg(k, v) FROM (
SELECT mf.kind || CASE WHEN mf.payer_org_id = o.id THEN '_paid' ELSE '_received' END AS k,
jsonb_build_object('total', sum(mf.amount), 'count', count(*)) AS v
FROM money_flow mf JOIN claim mc ON mc.id = mf.claim_id AND mc.merged_into IS NULL
WHERE mf.payer_org_id = o.id OR mf.payee_org_id = o.id GROUP BY 1) x) AS money
FROM links l JOIN organization o ON o.id = l.org_id
GROUP BY o.id
ORDER BY (o.kind = 'party') DESC, o.name
""",
{"pid": person["id"]},
).fetchall()
return {"organizations": orgs}
backend/politrack/queries/search.py
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"""Hybrid search (German full text + optional vector similarity)."""
from __future__ import annotations
from datetime import date
import httpx
from psycopg import Connection
from politrack.config import get_settings
from politrack.queries.common import VISIBLE, SourceFilter
def search(conn: Connection, q: str, *, sources: SourceFilter, since: date | None = None, until: date | None = None,
limit: int = 20) -> list[dict]:
"""Hybrid search: German full-text + (if configured) vector similarity, fused by reciprocal rank."""
settings = get_settings()
source_sql, params = sources.sql("s")
params.update({"q": q, "limit": limit * 3, "since": since, "until": until, "include_pending": False})
base = f"""
SELECT ch.id, ch.text, ch.claim_id, ch.document_id, c.summary_de, c.claim_type, c.occurred_at,
p.slug AS person_slug, p.full_name AS person_name, o.slug AS organization_slug,
dd.url AS document_url, dd.title AS document_title, dd.published_at AS document_date,
(SELECT jsonb_agg(DISTINCT jsonb_build_object('url', d.url, 'title', d.title, 'source', s.slug))
FROM claim_evidence e JOIN document d ON d.id = e.document_id JOIN source s ON s.id = d.source_id
WHERE e.claim_id = ch.claim_id AND {source_sql}) AS evidence
FROM chunk ch
LEFT JOIN claim c ON c.id = ch.claim_id
LEFT JOIN person p ON p.id = c.person_id
LEFT JOIN organization o ON o.id = c.organization_id
LEFT JOIN document dd ON dd.id = ch.document_id
LEFT JOIN source ds ON ds.id = dd.source_id
WHERE (ch.claim_id IS NULL OR ({VISIBLE}))
AND (ch.document_id IS NULL OR (NOT (ds.slug = ANY(%(exclude_sources)s)) AND ds.default_trust >= %(min_trust)s))
AND (%(since)s::date IS NULL OR COALESCE(c.occurred_at::date, c.valid_from, dd.published_at::date) >= %(since)s)
AND (%(until)s::date IS NULL OR COALESCE(c.occurred_at::date, c.valid_from, dd.published_at::date) <= %(until)s)
"""
fts = conn.execute(
base + " AND ch.tsv @@ websearch_to_tsquery('german', %(q)s)"
" ORDER BY ts_rank_cd(ch.tsv, websearch_to_tsquery('german', %(q)s)) DESC LIMIT %(limit)s",
params,
).fetchall()
ranked: dict[int, tuple[float, dict]] = {}
for rank, row in enumerate(fts):
ranked[row["id"]] = (1 / (60 + rank), row)
if settings.ollama_url:
try:
resp = httpx.post(f"{settings.ollama_url}/api/embed",
json={"model": settings.embedding_model, "input": [q]}, timeout=30)
resp.raise_for_status()
params["vec"] = str(resp.json()["embeddings"][0])
vec_rows = conn.execute(
base + " AND ch.embedding IS NOT NULL ORDER BY ch.embedding <=> %(vec)s::vector LIMIT %(limit)s",
params,
).fetchall()
for rank, row in enumerate(vec_rows):
score = ranked.get(row["id"], (0.0, row))[0] + 1 / (60 + rank)
ranked[row["id"]] = (score, row)
except httpx.HTTPError:
pass
results = [row | {"score": score} for score, row in sorted(ranked.values(), key=lambda x: -x[0])]
# Hide results whose only evidence comes from sources the user excluded.
return [r for r in results if r["evidence"] or r["claim_id"] is None][:limit]
# -- moderation -----------------------------------------------------------------
backend/politrack/queries/votes.py
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"""Votes: per person (individual roll calls + faction votes during mandates, with "say vs. vote"), lists, details."""
from __future__ import annotations
from datetime import date
from psycopg import Connection
# Did the person speak on this item on the day of the vote? Speech titles are the item titles of the
# parliament's speech list; vote_event titles come from the item page - similar, not identical.
SPOKE = """
(SELECT jsonb_build_object('url', st.url, 'title', st.title) FROM statement st
JOIN claim sc ON sc.id = st.claim_id AND sc.merged_into IS NULL
WHERE st.person_id = me.id AND st.context = 'parliament_speech' AND st.said_at::date = ve.voted_on
AND similarity(st.title, ve.item_title) > 0.35
ORDER BY similarity(st.title, ve.item_title) DESC LIMIT 1)
"""
def person_votes(conn: Connection, slug: str, *, topics: list[str] | None = None, limit: int = 100,
offset: int = 0) -> list[dict]:
"""Votes concerning a person.
* individual=true: roll-call votes with the person's own vote; dissent=true when it differs from the
majority of their faction (vote_position.party_id = their faction that day).
* individual=false: faction votes cast while the person held a mandate for that faction.
* spoke: the person's speech on that item on the same day ("say vs. vote"), if any.
"""
return conn.execute(
f"""
WITH me AS (SELECT id FROM person WHERE slug = %(slug)s)
SELECT ve.id, ve.item_title, ve.item_ref, ve.stage, ve.voted_on, ve.result, ve.url, ve.protocol_url,
ve.roll_call, vp.position, fo.short_name AS faction, ch.name AS chamber, true AS individual,
(fp.position IS NOT NULL AND fp.position <> vp.position) AS dissent, {SPOKE} AS spoke,
(SELECT jsonb_agg(DISTINCT t.slug) FROM topic_assignment ta JOIN topic t ON t.id = ta.topic_id
WHERE ta.claim_id = vp.claim_id) AS topics
FROM vote_position vp
JOIN me ON me.id = vp.person_id
JOIN claim c ON c.id = vp.claim_id AND c.merged_into IS NULL
JOIN vote_event ve ON ve.id = vp.vote_event_id
JOIN organization ch ON ch.id = ve.chamber_id
LEFT JOIN organization fo ON fo.id = vp.party_id
LEFT JOIN vote_position fp ON fp.vote_event_id = ve.id AND fp.organization_id = vp.party_id
WHERE (%(topics)s::text[] IS NULL OR EXISTS (
SELECT 1 FROM topic_assignment ta JOIN topic t ON t.id = ta.topic_id
WHERE ta.claim_id = vp.claim_id AND t.slug = ANY(%(topics)s)))
UNION ALL
SELECT ve.id, ve.item_title, ve.item_ref, ve.stage, ve.voted_on, ve.result, ve.url, ve.protocol_url,
ve.roll_call, vp.position, o.short_name, ch.name, false, false, {SPOKE},
(SELECT jsonb_agg(DISTINCT t.slug) FROM topic_assignment ta JOIN topic t ON t.id = ta.topic_id
WHERE ta.claim_id = vp.claim_id)
FROM me
JOIN role r ON r.person_id = me.id AND r.role = 'mp'
JOIN claim rc ON rc.id = r.claim_id AND rc.merged_into IS NULL
JOIN vote_event ve ON ve.chamber_id = r.organization_id AND NOT ve.roll_call
AND ve.voted_on BETWEEN r.start_date AND COALESCE(r.end_date, 'infinity'::date)
JOIN vote_position vp ON vp.vote_event_id = ve.id AND vp.organization_id = r.party_id
JOIN organization o ON o.id = vp.organization_id
JOIN organization ch ON ch.id = ve.chamber_id
WHERE (%(topics)s::text[] IS NULL OR EXISTS (
SELECT 1 FROM topic_assignment ta JOIN topic t ON t.id = ta.topic_id
WHERE ta.claim_id = vp.claim_id AND t.slug = ANY(%(topics)s)))
ORDER BY voted_on DESC NULLS LAST
LIMIT %(limit)s OFFSET %(offset)s
""",
{"slug": slug, "topics": topics, "limit": limit, "offset": offset},
).fetchall()
def list_votes(conn: Connection, *, party: str | None = None, topics: list[str] | None = None,
roll_call: bool | None = None, since: date | None = None, until: date | None = None,
limit: int = 50, offset: int = 0) -> list[dict]:
return conn.execute(
"""
SELECT ve.id, ve.item_title, ve.item_ref, ve.stage, ve.voted_on, ve.result, ve.url, ve.protocol_url,
ve.raw_text, ve.roll_call, ch.name AS chamber,
COALESCE(jsonb_agg(jsonb_build_object('party', o.short_name, 'slug', o.slug, 'color', o.color,
'position', vp.position) ORDER BY o.short_name)
FILTER (WHERE o.id IS NOT NULL), '[]'::jsonb) AS positions,
(SELECT count(*) FROM vote_position x WHERE x.vote_event_id = ve.id AND x.person_id IS NOT NULL)
AS individual_votes
FROM vote_event ve
JOIN organization ch ON ch.id = ve.chamber_id
LEFT JOIN vote_position vp ON vp.vote_event_id = ve.id AND vp.organization_id IS NOT NULL
LEFT JOIN organization o ON o.id = vp.organization_id
WHERE (%(party)s::text IS NULL OR EXISTS (
SELECT 1 FROM vote_position v2 JOIN organization o2 ON o2.id = v2.organization_id
WHERE v2.vote_event_id = ve.id AND o2.slug = %(party)s))
AND (%(topics)s::text[] IS NULL OR EXISTS (
SELECT 1 FROM vote_position v3 JOIN topic_assignment ta ON ta.claim_id = v3.claim_id
JOIN topic t ON t.id = ta.topic_id WHERE v3.vote_event_id = ve.id AND t.slug = ANY(%(topics)s)))
AND (%(roll_call)s::boolean IS NULL OR ve.roll_call = %(roll_call)s)
AND (%(since)s::date IS NULL OR ve.voted_on >= %(since)s)
AND (%(until)s::date IS NULL OR ve.voted_on <= %(until)s)
GROUP BY ve.id, ch.name
ORDER BY ve.voted_on DESC NULLS LAST, ve.id DESC
LIMIT %(limit)s OFFSET %(offset)s
""",
{"party": party, "topics": topics, "roll_call": roll_call, "since": since, "until": until,
"limit": limit, "offset": offset},
).fetchall()
def vote_detail(conn: Connection, vote_id: int) -> dict | None:
vote = conn.execute(
"SELECT ve.*, ch.name AS chamber FROM vote_event ve JOIN organization ch ON ch.id = ve.chamber_id WHERE ve.id = %s",
(vote_id,),
).fetchone()
if not vote:
return None
vote["positions"] = conn.execute(
"""SELECT o.short_name AS party, o.slug, o.color, vp.position FROM vote_position vp
JOIN organization o ON o.id = vp.organization_id WHERE vp.vote_event_id = %s ORDER BY o.short_name""",
(vote_id,),
).fetchall()
vote["individual"] = conn.execute(
"""
SELECT p.slug, p.full_name, vp.position, o.short_name AS faction,
(fp.position IS NOT NULL AND fp.position <> vp.position) AS dissent
FROM vote_position vp JOIN person p ON p.id = vp.person_id
LEFT JOIN organization o ON o.id = vp.party_id
LEFT JOIN vote_position fp ON fp.vote_event_id = vp.vote_event_id AND fp.organization_id = vp.party_id
WHERE vp.vote_event_id = %s ORDER BY o.short_name, p.family_name
""",
(vote_id,),
).fetchall()
return vote
backend/politrack/sources/__init__.py
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"""Built-in source adapters. Every module in this package (and sub-packages) is imported by
politrack.core.registry.load_builtin(); modules register their adapters with @register.
To add a source: create one module here (see docs/contributing/adapters.md).
"""
backend/politrack/sources/bundesregierung.py
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"""Bundeskanzleramt: government news archive and Council of Ministers minutes (Ministerratsprotokolle).
Official works (§7 UrhG); robots.txt only blocks /401.
* News ("Nachrichten der Bundesregierung", one index per year): stored with full text; the event
extractor turns summits, trips abroad and bilateral meetings into travel/meeting claims.
* Council of Ministers minutes (Beschlussprotokolle): every agenda item names the reporting office(s)
("Bericht der Bundesministerin für Justiz, Zahl ..., betreffend ..."). Each becomes a
government_decision claim for the office holder on that date (resolved via the office hint).
"""
from __future__ import annotations
import re
from collections.abc import Iterator
from datetime import date
from typing import Any
from urllib.parse import urljoin
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Document, Event, Evidence, OrgRef, Participation, PersonRef
from politrack.text import excerpt, fingerprint
BASE = "https://www.bundeskanzleramt.gv.at"
NEWS_INDEX = BASE + "/bundeskanzleramt/nachrichten-der-bundesregierung/{year}.html"
MR_INDEX = BASE + "/bundeskanzleramt/die-bundesregierung/ministerratsprotokolle.html"
SPEC = SourceSpec(
slug="bundesregierung",
name="Bundeskanzleramt – Bundesregierung",
kind="official",
homepage=BASE,
license="Amtliches Werk (§7 UrhG)",
access="scrape",
trust=90,
min_interval=2.0,
tos_notes="Government news archive and Council of Ministers minutes. robots.txt only blocks /401.",
)
MONTHS = {m: i for i, m in enumerate(["jänner", "februar", "märz", "april", "mai", "juni", "juli", "august",
"september", "oktober", "november", "dezember"], start=1)}
MONTHS["januar"] = 1
GERMAN_DATE = re.compile(r"(\d{1,2})\.\s*([A-Za-zäÄ]+)\s+(\d{4})")
# Office names may contain commas ("für Wohnen, Kunst, Kultur, Medien und Sport"); file numbers sometimes use
# non-breaking hyphens or spaces ("2026 0.040.056"); subjects span lines (joined with " | ") and end at the
# decision ("Der Ministerrat beschließt ...") or at the next item.
ITEM = re.compile(r"(?:(?:Gemeinsamer\s+)?Bericht|Vortrag|Antrag)\s+(?P<offices>de[sr]\s+[^|]+?),?\s+"
r"Zahl\s+(?P<zahl>\d[\d./\-\u2010-\u2015 ]*?)\s*,\s*betreffend\s+(?P<subject>.+?)"
r"(?=\s*\|?\s*Der Ministerrat\b"
r"|\s*\|\s*(?:\d+(?:\.\d+)*\.?\s+)?(?:Gemeinsamer\s+)?(?:Bericht|Vortrag|Antrag)\s+de[sr]\s|$)")
OFFICE_SPLIT = re.compile(r",\s*(?=de[sr]\s)|\s+und\s+(?=de[sr]\s)")
GENITIVE = [(r"\bBundeskanzlers\b", "Bundeskanzler"), (r"\bVizekanzlers\b", "Vizekanzler"),
(r"\bBundesministers\b", "Bundesminister"), (r"\bStaatssekretärs\b", "Staatssekretär")]
def german_date(text: str) -> date | None:
m = GERMAN_DATE.search(text)
if not m or m.group(2).lower() not in MONTHS:
return None
return date(int(m.group(3)), MONTHS[m.group(2).lower()], int(m.group(1)))
def period_start(path: str) -> int:
"""'.../ministerratsprotokolle-der-xxvi-regierungsperiode-2017-2018.html' -> 2018 (latest year named)."""
return max((int(y) for y in re.findall(r"(20\d\d)", path)), default=0)
def offices(text: str) -> list[str]:
"""'des Bundeskanzlers, des Bundesministers für Wohnen, Kunst, Kultur, Medien und Sport und der
Bundesministerin für Justiz' -> ['Bundeskanzler', 'Bundesminister für Wohnen, ...', 'Bundesministerin für Justiz']."""
result = []
for part in OFFICE_SPLIT.split(text):
part = re.sub(r"^\s*de[sr]\s+", "", part).strip(" ,")
for pattern, repl in GENITIVE:
part = re.sub(pattern, repl, part)
if part:
result.append(part)
return result
def main_text(response: Response) -> tuple[str, str]:
soup = response.soup
main = soup.find("main") or soup
title_el = main.find(class_="title") or main.find("h1")
title = title_el.get_text(" ", strip=True) if title_el else (soup.title.string if soup.title else response.url)
for noise in main.find_all(["nav", "aside", "script", "style", "form", "footer"]):
noise.decompose()
parts = [p.get_text(" ", strip=True) for p in main.find_all(["p", "li", "h2", "h3"])]
return title, "\n".join(p for p in parts if p)
@register
class GovernmentNews(Adapter):
spec = SPEC
name = "bundesregierung.news"
description = "Government news archive (summits, trips, meetings of government members)"
schedule = "10 */3 * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
first = int(ctx.params.get("since_year", date.today().year - 1))
for year in range(first, date.today().year + 1):
yield Request(url=NEWS_INDEX.format(year=year), kind="index", meta={"year": year})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
if response.request.kind == "index":
year = response.meta["year"]
for path in sorted(set(re.findall(
rf'href="(/bundeskanzleramt/nachrichten-der-bundesregierung/{year}/[^"]+\.html)"', response.text))):
yield Request(url=BASE + path, kind="article")
return
title, text = main_text(response)
time_el = response.soup.find("time")
yield Document(Evidence(url=response.request.url, doc_type="press_release", title=title,
published_at=time_el.get("datetime") if time_el else None,
excerpt=excerpt(text, 300), full_text=f"{title}\n{text}"))
@register
class CouncilOfMinisters(Adapter):
spec = SPEC
name = "bundesregierung.ministerrat"
description = "Council of Ministers minutes: decisions per reporting minister"
schedule = "20 6 * * 3,4"
parser_version = 2
def start(self, ctx: RunContext) -> Iterator[Request]:
yield Request(url=MR_INDEX, kind="index")
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
kind = response.request.kind
if kind == "index":
periods = sorted(set(re.findall(r'href="(/bundeskanzleramt/die-bundesregierung/ministerratsprotokolle/'
r'[^"?]+\.html)"', response.text)), key=period_start)
# Period pages are named after the year a government took office ("...-xxviii-2025") and list all
# its sessions, so the latest period that started before `since_year` may still contain newer ones.
since = int(ctx.params.get("since_year", date.today().year - 1))
started_before = [period_start(p) for p in periods if period_start(p) < since]
keep_from = max(started_before, default=0)
for path in reversed([p for p in periods if period_start(p) >= keep_from]): # newest first
yield Request(url=BASE + path, kind="period")
elif kind == "period":
base = response.request.url.split("?")[0]
for href in sorted(set(re.findall(r'href="([^"]+)"', response.text))):
url = urljoin(response.url, href)
if url.startswith(base.removesuffix(".html") + "/"):
yield Request(url=url, kind="protocol")
elif url.startswith(base + "?currentPage="):
yield Request(url=url, kind="period")
else:
yield from self.parse_protocol(response)
def parse_protocol(self, response: Response) -> Iterator[Any]:
title, text = main_text(response)
held_on = german_date(title) or german_date(text[:300])
url = response.request.url
yield Document(Evidence(url=url, doc_type="protocol", title=title, published_at=held_on,
excerpt=excerpt(text, 300), full_text=f"{title}\n{text}"))
event_key = fingerprint("ministerrat", url)
yield Event(key=event_key, kind="government_meeting", title=title, starts_at=held_on, location="Wien",
country="AT", url=url, body=OrgRef(slug="bundesregierung"))
flat = " | ".join(text.split("\n"))
for n, m in enumerate(ITEM.finditer(flat)):
subject = re.sub(r"\s*\|\s*", " ", m.group("subject")).strip(" .")
zahl = re.sub(r"[\s\u2010-\u2015]+", "-", m.group("zahl").strip())
for office in offices(m.group("offices")):
yield Claim(
claim_type="government_decision",
person=PersonRef(name=None, hints={"office": office, "on": held_on}),
key=("ministerrat", url, zahl, office), occurred_at=held_on,
summary_de=f"Bericht im Ministerrat ({office}): {excerpt(subject, 220)}",
summary_en=f"Report to the Council of Ministers ({office}): {excerpt(subject, 220)}",
data={"office": office, "zahl": zahl, "item": n + 1},
evidence=[Evidence(url=url, doc_type="protocol", title=title, published_at=held_on,
quote=excerpt(re.sub(r"\s*\|\s*", " ", m.group(0)), 500),
locator=f"item:{zahl}")],
)
# Participation of the reporting ministers in this session (calendar)
for office in offices(m.group("offices")):
yield Claim(
claim_type="appearance", person=PersonRef(hints={"office": office, "on": held_on}),
occurred_at=held_on, summary_de=f"Teilnahme am Ministerrat ({title})",
evidence=[Evidence(url=url, doc_type="protocol", title=title, published_at=held_on)],
facet=Participation(event_key=event_key, participation="reporting_minister"),
)
backend/politrack/sources/eu.py
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"""EU institutions: Commission lobby meetings and the European Parliament (Austrian MEPs, declarations).
* European Commission - meetings with interest representatives (open data XLSX per Commission term).
Every row names the cabinet ("Cabinet of Commissioner Magnus Brunner"). Only meetings of Austrian
Commissioners' cabinets are kept (names passed from start(): Commission roles in the DB + a fallback list).
* European Parliament Open Data API v2 (CC BY 4.0): current Austrian MEPs (authoritative mandate data),
and their declarations (financial interests, conflicts of interest, gifts, ...).
"""
from __future__ import annotations
import io
import re
from collections.abc import Iterator
from datetime import date
from typing import Any
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import (
Claim,
Event,
Evidence,
OrgRef,
Participation,
PersonRecord,
PersonRef,
Role,
)
from politrack.text import excerpt, fingerprint, normalize
EC_SPEC = SourceSpec(
slug="ec-meetings", name="Europäische Kommission – Treffen mit Interessenvertretern", kind="official",
homepage="https://commission.europa.eu/about/service-standards-and-principles/transparency_en",
license="EU open data (reuse permitted, attribution)", access="bulk", trust=90, min_interval=2.0,
tos_notes="Open data export of meetings of Commissioners and their cabinets with interest representatives.",
)
EP_SPEC = SourceSpec(
slug="europarl", name="Europäisches Parlament Open Data", kind="official",
homepage="https://data.europarl.europa.eu", license="CC BY 4.0", access="api", trust=95, min_interval=1.0,
tos_notes="EP Open Data API v2 (limit 500 requests / 5 min / endpoint).",
)
EC_EXPORT = "https://ec.europa.eu/transparency-initiative/meetings/data/meetings/dataxlsx"
EC_TERMS = ("meetingscommissionrepresentatives2429", "meetingscommissionrepresentatives1924")
EP_API = "https://data.europarl.europa.eu/api/v2"
# Austrian Commissioners in the terms covered by EC_TERMS (fallback if the DB has no Commission roles yet).
AUSTRIAN_COMMISSIONERS = ("Johannes Hahn", "Magnus Brunner")
CABINET = re.compile(r"Cabinet of (?:Executive Vice-President|Vice-President|Commissioner|President)\s+(?P<name>.+)$")
@register
class CommissionMeetings(Adapter):
spec = EC_SPEC
name = "eu.commission_meetings"
description = "Meetings of (Austrian) EU Commissioners and their cabinets with interest representatives"
schedule = "0 5 * * 1"
queue = "bulk"
def start(self, ctx: RunContext) -> Iterator[Request]:
names = set(AUSTRIAN_COMMISSIONERS)
if ctx.conn is not None:
names |= {row["full_name"] for row in ctx.conn.execute(
"""SELECT DISTINCT p.full_name FROM role r JOIN person p ON p.id = r.person_id
JOIN organization o ON o.id = r.organization_id WHERE o.slug = 'europaeische-kommission'""")}
for term in EC_TERMS:
yield Request(url=EC_EXPORT, params={"name": term}, kind="xlsx", meta={"commissioners": sorted(names)})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
import openpyxl
wb = openpyxl.load_workbook(io.BytesIO(response.body), read_only=True, data_only=True)
rows = list(wb.worksheets[0].iter_rows(values_only=True))
header_index = next((i for i, r in enumerate(rows) if r and r[0] == "Name of cabinet"), None)
if header_index is None:
ctx.stats["unexpected_layout"] += 1
return
header = [str(h) for h in rows[header_index]]
url = f"{EC_EXPORT}?name={response.request.params['name']}"
wanted = {normalize(n) for n in response.meta.get("commissioners") or AUSTRIAN_COMMISSIONERS}
for row in rows[header_index + 1:]:
rec = dict(zip(header, row))
cabinet = rec.get("Name of cabinet") or ""
m = CABINET.search(cabinet.strip())
if not m or not rec.get("Date of meeting"):
continue
commissioner = m.group("name").strip()
if normalize(commissioner) not in wanted:
ctx.stats["other_commissioners"] += 1
continue
org_name = (rec.get("Name of interest representative") or "").strip()
held = str(rec["Date of meeting"])[:10]
subject = (rec.get("Subject of the meeting") or "").strip()
reps = rec.get("Name of EC representative") or ""
titles = rec.get("Title of EC representative") or ""
register_id = (rec.get("Transparency register ID") or "").strip()
event_key = fingerprint("ec-meeting", cabinet, held, org_name, subject)
yield Event(key=event_key, kind="meeting", title=f"{cabinet}: {org_name}", starts_at=held,
location=rec.get("Location"), url=url, description=subject,
body=OrgRef(slug="europaeische-kommission"))
yield Claim(
claim_type="meeting", person=PersonRef(name=commissioner), occurred_at=held,
counterpart_org=OrgRef(name=org_name, kind="lobby",
ids={"eu_transparency": register_id} if register_id else {}) if org_name else None,
summary_de=f"Treffen ({'Kommissar persönlich' if 'Commissioner' in titles else 'Kabinett'}) mit "
f"{org_name}: {excerpt(subject, 160)}",
summary_en=f"Meeting ({'Commissioner' if 'Commissioner' in titles else 'cabinet'}) with {org_name}: "
f"{excerpt(subject, 160)}",
data={"cabinet": cabinet, "representatives": reps, "titles": titles, "location": rec.get("Location"),
"register_id": register_id, "date_precision": "day"},
evidence=[Evidence(url=url, doc_type="dataset_row", title=f"EU-Kommission: Treffen {cabinet}",
published_at=held, quote=f"{held} | {org_name} | {subject}",
locator=f"{held}:{org_name}:{subject[:60]}")],
topics=("Europäische Union",),
facet=Participation(event_key=event_key, participation="host"),
)
@register
class EuropeanParliament(Adapter):
spec = EP_SPEC
name = "europarl.meps"
description = "Current Austrian MEPs (mandates) and their declarations"
schedule = "30 4 * * 2"
creates_persons = True
def start(self, ctx: RunContext) -> Iterator[Request]:
yield Request(url=f"{EP_API}/meps/show-current", kind="meps",
params={"country-of-representation": "AT", "format": "application/ld+json", "limit": 100})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
data = response.json().get("data") or []
if response.request.kind == "meps":
for mep in data:
mep_id = str(mep.get("identifier"))
given, family = mep.get("givenName"), mep.get("familyName")
name = f"{given} {family}" if given and family else mep.get("label")
ref = PersonRef(ids={"ep": mep_id}, name=name)
yield PersonRecord(ref=ref, full_name=name, given_name=given, family_name=family,
aliases=(mep.get("label") or "",), match_by_name=True)
yield Request(url=f"{EP_API}/meps/{mep_id}", params={"format": "application/ld+json"}, kind="mep",
meta={"mep_id": mep_id, "name": name, "group": mep.get("api:political-group")})
yield Request(url=f"{EP_API}/meps-declarations", kind="declarations",
params={"person-id": mep_id, "format": "application/ld+json", "limit": 100},
meta={"mep_id": mep_id, "name": name})
elif response.request.kind == "mep":
yield from self.parse_mep(response, data[0] if data else {})
else:
yield from self.parse_declarations(response, data)
def parse_mep(self, response: Response, mep: dict) -> Iterator[Any]:
meta = response.meta
ref = PersonRef(ids={"ep": meta["mep_id"]})
if mep.get("img"):
yield PersonRecord(ref=ref, full_name=meta["name"], photo_url=mep["img"],
birth_date=date.fromisoformat(mep["bday"][:10]) if mep.get("bday") else None)
starts = [m.get("memberDuring", {}).get("startDate") for m in mep.get("hasMembership") or []
if "EU_PARLIAMENT" in str(m.get("membershipClassification", ""))]
starts = sorted(s for s in starts if s)
body = OrgRef(slug="europaeisches-parlament")
start = date.fromisoformat(starts[-1]) if starts else None
url = f"https://www.europarl.europa.eu/meps/de/{meta['mep_id']}"
yield Claim(
claim_type="role", person=ref, org=body, valid_from=start,
summary_de=f"Mitglied des Europäischen Parlaments (Fraktion {meta.get('group') or '?'})",
summary_en=f"Member of the European Parliament ({meta.get('group') or '?'})",
data={"ep_group": meta.get("group")},
evidence=[Evidence(url=url, doc_type="api_record", title=f"Europäisches Parlament: {meta['name']}")],
facet=Role(role="mp", level="eu", body=body, start=start),
)
def parse_declarations(self, response: Response, docs: list[dict]) -> Iterator[Claim]:
meta = response.meta
for doc in docs:
titles = []
pdf = None
for expression in doc.get("is_realized_by") or []:
title = (expression.get("title") or {})
titles.extend(v for v in title.values() if v)
for manifestation in expression.get("is_embodied_by") or []:
if "pdf" in str(manifestation.get("media_type", "")).lower() and not pdf:
pdf = manifestation.get("is_exemplified_by")
title = next((t for t in titles if t), doc.get("id"))
url = f"https://www.europarl.europa.eu/{pdf}" if pdf and not pdf.startswith("http") else (
pdf or f"https://data.europarl.europa.eu/{doc.get('id')}")
kind = str(doc.get("work_type", "")).rsplit("/", 1)[-1]
yield Claim(
claim_type="declaration", person=PersonRef(ids={"ep": meta["mep_id"]}),
key=("ep-declaration", doc.get("id")), occurred_at=doc.get("document_date"),
summary_de=f"Erklärung im Europäischen Parlament: {excerpt(title, 200)}",
summary_en=f"Declaration filed with the European Parliament: {excerpt(title, 200)}",
data={"work_type": kind},
evidence=[Evidence(url=url, doc_type="pdf", title=title, published_at=doc.get("document_date"))],
topics=("Transparenz und Korruption",),
)
backend/politrack/sources/gdelt.py
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"""GDELT DOC 2.0 API: news coverage of politicians across many more outlets (metadata only).
Free, open, max. one request every 5 s (we use 6 s and back off on the plain-text throttle notice).
Coverage of German-language Austrian media is thin, so this is a supplement. Queries: active
federal/EU politicians daily, former politicians in a weekly rotation ("what are they up to?").
"""
from __future__ import annotations
import json
from collections.abc import Iterator
from datetime import date
from typing import Any
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Document, Evidence
API = "https://api.gdeltproject.org/api/v2/doc/doc"
SPEC = SourceSpec(
slug="gdelt", name="Weitere Medien (via GDELT)", kind="aggregator", homepage="https://www.gdeltproject.org",
license="GDELT open data (citation required)", access="api", trust=55, store_fulltext=False, keep_raw=False,
min_interval=6.0, tos_notes="GDELT DOC 2.0 API: article metadata (URL, title, date). Max 1 request / 5 s.",
)
DOMAIN_SOURCES = {
"orf.at": "orf", "derstandard.at": "derstandard", "diepresse.com": "diepresse", "kurier.at": "kurier",
"profil.at": "profil", "falter.at": "falter", "krone.at": "krone", "sn.at": "sn", "kleinezeitung.at": "kleinezeitung",
"ots.at": "apa-ots", "vol.at": "vol", "vienna.at": "vol",
}
@register
class Gdelt(Adapter):
spec = SPEC
name = "gdelt.coverage"
description = "Supplementary news coverage via GDELT (active and former politicians)"
schedule = "0 1 * * *"
queue = "bulk"
def start(self, ctx: RunContext) -> Iterator[Request]:
if ctx.conn is None:
return
rows = ctx.conn.execute(
"""SELECT p.id, p.given_name, p.family_name, s.status FROM person p
JOIN person_status s ON s.person_id = p.id
WHERE p.given_name IS NOT NULL AND p.family_name IS NOT NULL AND (
(s.status = 'active' AND EXISTS (SELECT 1 FROM role r WHERE r.person_id = p.id
AND r.level IN ('federal', 'eu') AND r.end_date IS NULL))
OR (s.status IN ('former', 'party_member') AND s.last_office_end > current_date - interval '25 years'
AND p.id %% 7 = %s))
ORDER BY s.status, p.id LIMIT %s""",
(date.today().weekday(), int(ctx.params.get("max_queries", 400))),
).fetchall()
for row in rows:
name = f"{row['given_name']} {row['family_name']}"
yield Request(url=API, kind="artlist", meta={"person_id": row["id"]}, conditional=False,
params={"query": f'"{name}" sourcecountry:AU', "mode": "artlist", "format": "json",
"maxrecords": 50, "timespan": "7d" if row["status"] == "active" else "1m",
"sort": "datedesc"})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
if not response.text.strip().startswith("{"):
ctx.stats["throttled"] += 1 # plain-text rate-limit notice
return
for article in json.loads(response.text, strict=False).get("articles", []):
domain = (article.get("domain") or "").removeprefix("www.")
seen = article.get("seendate") or ""
published = f"{seen[:4]}-{seen[4:6]}-{seen[6:8]}T{seen[9:11]}:{seen[11:13]}:00Z" if len(seen) >= 13 else None
yield Document(Evidence(url=article["url"], source=DOMAIN_SOURCES.get(domain, "gdelt"),
title=article.get("title"), doc_type="article", published_at=published,
meta={"via": "gdelt", "domain": domain}))
backend/politrack/sources/justiz.py
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"""Press releases of the Wirtschafts- und Korruptionsstaatsanwaltschaft (WKStA, anti-corruption prosecutors).
Official statements on high-profile proceedings. They usually anonymise suspects ("ein ehemaliger
Bundesminister"), so we store them as official documents (full text, searchable, RAG) and let the
legal-matter detector propose claims - which, as always for legal matters, need human review.
"""
from __future__ import annotations
import re
from collections.abc import Iterator
from datetime import date
from typing import Any
from urllib.parse import urljoin
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Document, Evidence
from politrack.sources.bundesregierung import german_date
from politrack.text import excerpt
BASE = "https://www.justiz.gv.at"
START = BASE + "/wksta/wirtschafts-und-korruptionsstaatsanwaltschaft.312.de.html"
SPEC = SourceSpec(
slug="wksta", name="WKStA – Pressemitteilungen", kind="official", homepage=START,
license="Amtliches Werk (§7 UrhG)", access="scrape", trust=90, min_interval=3.0,
tos_notes="Press releases of the anti-corruption prosecutors. robots.txt allows all.",
)
RELEASE = re.compile(r"/medienstelle/pressemitteilungen/pressemitteilungen-(\d{4})/")
LISTING = re.compile(r"/medienstelle(?:/pressemitteilungen(?:/pressemitteilungen-\d{4})?)?\.[0-9a-f]+\.de\.html")
def clean(url: str) -> str:
return re.sub(r";jsessionid=[^?#]*", "", url)
@register
class WkstaPress(Adapter):
spec = SPEC
name = "justiz.wksta"
description = "WKStA press releases (official documents for search and reviewed legal matters)"
schedule = "40 8 * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
yield Request(url=START, kind="listing", meta={"depth": 0})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
if response.request.kind == "listing":
since = int(ctx.params.get("since_year", date.today().year - 2))
for a in response.soup.find_all("a", href=True):
url = clean(urljoin(response.url, a["href"]))
year = RELEASE.search(url)
if year and int(year.group(1)) >= since:
yield Request(url=url, kind="release")
elif LISTING.search(url) and response.meta["depth"] < 2:
yield Request(url=url, kind="listing", meta={"depth": response.meta["depth"] + 1})
return
main = response.soup.find("main") or response.soup.find(id="content") or response.soup
title_el = main.find("h1")
title = title_el.get_text(" ", strip=True) if title_el else response.url
text = "\n".join(p.get_text(" ", strip=True) for p in main.find_all(["p", "li"]) if p.get_text(strip=True))
yield Document(Evidence(url=clean(response.request.url), doc_type="press_release", title=title,
published_at=german_date(text[:400]) or german_date(title), excerpt=excerpt(text, 300),
full_text=f"{title}\n{text}"))
backend/politrack/sources/news.py
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"""Headline monitoring via publishers' RSS feeds and Google-News sitemaps (listed in robots.txt).
Policy (docs/sources.md): only feeds/sitemaps publishers offer for automated discovery; store headline,
teaser/keywords and link - never article text (store_fulltext=False, keep_raw=False). If a site declares
a TDM reservation, the Loader drops even the teaser and linking uses the headline only.
The feed list lives in config/feeds.yaml (user-editable); every `source` there needs a SourceSpec below.
"""
from __future__ import annotations
import xml.etree.ElementTree as ET
from collections.abc import Iterator
from datetime import datetime, timezone
from time import mktime
from typing import Any
import feedparser
import yaml
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register, register_spec
from politrack.core.records import Document, Evidence
from politrack.text import html_to_text
def media(slug: str, name: str, homepage: str, trust: int, notes: str = "RSS/news sitemap only; headline + link.",
license: str = "All rights reserved") -> SourceSpec:
return register_spec(SourceSpec(slug=slug, name=name, kind="media", homepage=homepage, license=license,
access="rss", trust=trust, store_fulltext=False, keep_raw=False,
min_interval=2.0, tos_notes=notes))
ORF = media("orf", "ORF.at", "https://orf.at", 75, "Public RSS feeds (rss.orf.at). Headline, teaser, link.")
media("derstandard", "DER STANDARD", "https://www.derstandard.at", 75,
"RSS + news sitemap. robots.txt blocks AI crawlers by name; we only use feed/sitemap and link out.")
media("diepresse", "Die Presse", "https://www.diepresse.com", 75)
media("kurier", "KURIER", "https://kurier.at", 70)
media("profil", "profil", "https://www.profil.at", 75)
media("falter", "FALTER", "https://www.falter.at", 75)
media("krone", "Kronen Zeitung", "https://www.krone.at", 55)
media("sn", "Salzburger Nachrichten", "https://www.sn.at", 75)
media("kleinezeitung", "Kleine Zeitung", "https://www.kleinezeitung.at", 75)
media("vol", "Vorarlberg Online", "https://www.vol.at", 65)
media("apa-ots", "APA-OTS Presseaussendungen", "https://www.ots.at", 60,
"tdmrep.json declares tdm-reservation=1 for the whole site: headline + link only.")
NS = {"sm": "http://www.sitemaps.org/schemas/sitemap/0.9", "news": "http://www.google.com/schemas/sitemap-news/0.9"}
@register
class NewsFeeds(Adapter):
spec = ORF
name = "news.feeds"
description = "Headlines from outlets' RSS feeds and Google-News sitemaps (config/feeds.yaml)"
schedule = "*/20 * * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
config = yaml.safe_load((get_settings().config_dir / "feeds.yaml").read_text(encoding="utf-8"))
for feed in config.get("feeds") or []:
yield Request(url=feed["url"], kind=feed.get("type", "rss"), meta={"source": feed["source"]},
skip_unchanged=True)
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
source = response.meta["source"]
doc_type = "press_release" if source == "apa-ots" else "article"
if response.request.kind == "sitemap":
root = ET.fromstring(response.body)
for node in root.findall("sm:url", NS):
link, title = node.findtext("sm:loc", namespaces=NS), node.findtext("news:news/news:title", namespaces=NS)
if not link or not title:
continue
keywords = node.findtext("news:news/news:keywords", namespaces=NS)
yield Document(Evidence(url=link.strip(), source=source, title=html_to_text(title), doc_type=doc_type,
published_at=node.findtext("news:news/news:publication_date", namespaces=NS),
excerpt=f"Schlagworte: {keywords}" if keywords else None,
meta={"sitemap": response.request.url}))
return
for entry in feedparser.parse(response.body).entries:
if not entry.get("link"):
continue
published = (datetime.fromtimestamp(mktime(entry.published_parsed), tz=timezone.utc)
if entry.get("published_parsed") else None)
yield Document(Evidence(url=entry["link"], source=source, title=html_to_text(entry.get("title")),
doc_type=doc_type, published_at=published, excerpt=html_to_text(entry.get("summary")),
meta={"feed": response.request.url}))
backend/politrack/sources/parlament/__init__.py
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"""Austrian Parliament adapters: persons, items (votes, immunity, questions, hearings), press, calendar."""
backend/politrack/sources/parlament/common.py
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"""Shared spec and pure parsing helpers for the Austrian Parliament adapters (CC BY 4.0).
API (https://www.parlament.gv.at/recherchieren/open-data/):
* list exports: POST /Filter/api/filter/data/<listeId>?js=eval&showAll=true (JSON body = filter)
409 persons since 1918 · 101 parliamentary items · 251 speeches of a person
110 Parlamentskorrespondenz (press releases) · 600 calendar (Termine)
* detail pages: <page URL>?json=TRUE
"""
from __future__ import annotations
import re
from datetime import date, datetime
from typing import Any
from politrack.core import Request, SourceSpec, register_spec
from politrack.text import html_to_text
BASE = "https://www.parlament.gv.at"
CHAMBER_SLUG = {"NR": "nationalrat", "BR": "bundesrat"}
CHAMBER_NAME_DE = {"NR": "Nationalrat", "BR": "Bundesrat"}
GOVERNMENT_RE = re.compile(r"Bundeskanzler|Vizekanzler|Bundesminister|Staatssekretär", re.IGNORECASE)
SPEC = register_spec(SourceSpec(
slug="parlament",
name="Parlament Österreich (Open Data)",
kind="official",
homepage="https://www.parlament.gv.at/recherchieren/open-data/",
license="CC BY 4.0",
access="api",
trust=95,
store_fulltext=True,
min_interval=1.0,
tos_notes="Official JSON API (?json=TRUE, /Filter/api/filter/data/<list>). Attribution required. The "
"Parlamentsdirektion may prohibit uses incompatible with the dignity of parliament.",
))
def list_request(list_id: int, body: dict, kind: str, meta: dict | None = None) -> Request:
return Request(url=f"{BASE}/Filter/api/filter/data/{list_id}?js=eval&showAll=true", method="POST", json=body,
kind=kind, meta=meta or {})
def detail_request(path: str, kind: str, meta: dict | None = None) -> Request:
return Request(url=f"{BASE}{path}", params={"json": "TRUE"}, kind=kind, meta=meta or {})
def list_rows(data: dict) -> list[dict[str, Any]]:
"""Turn a filter-API export into dicts keyed by column label (duplicates get a _<index> suffix)."""
labels: list[str] = []
for i, header in enumerate(data.get("header", [])):
label = header.get("label") or header.get("feld_name") or f"col{i}"
labels.append(label if label not in labels else f"{label}_{i}")
return [dict(zip(labels, row)) for row in data.get("rows", [])]
def parse_date(value: str | None) -> date | None:
if not value:
return None
for fmt in ("%d.%m.%Y", "%Y-%m-%dT%H:%M:%S", "%Y-%m-%d"):
try:
return datetime.strptime(value[:19], fmt).date()
except ValueError:
continue
return None
def walk_dicts(obj: Any, required_key: str):
"""Yield every nested dict that contains `required_key`."""
if isinstance(obj, dict):
if required_key in obj:
yield obj
for value in obj.values():
yield from walk_dicts(value, required_key)
elif isinstance(obj, list):
for value in obj:
yield from walk_dicts(value, required_key)
# -- faction votes ------------------------------------------------------------------------
PARTY_TOKEN = re.compile(r"^[A-ZÄÖÜ][A-Za-zÄÖÜäöüß.\- ]{0,30}$")
# Split votes ("teilweise", "bzw.", per-part results in parentheses) can't be attributed to factions.
SPLIT_VOTE = re.compile(r"\(|\bbzw\.|\bteilweise\b|\btlw\.|\bmehrstimmig\b|\bgetrennt", re.IGNORECASE)
def parse_party_list(value: str | None) -> list[str]:
if not value:
return []
parts = [p.strip(" .;") for p in re.split(r",|\bund\b", value)]
return [p for p in parts if PARTY_TOKEN.match(p)]
def parse_vote_text(text: str) -> dict[str, Any] | None:
"""'137. Sitzung …: Gesetzesvorschlag in dritter Lesung angenommen Dafür: ÖVP, SPÖ, dagegen: FPÖ'"""
m = re.search(r"\b(angenommen|abgelehnt)\b", text, re.IGNORECASE)
if not m:
return None
rest = text[m.end():]
roll_call = "namentliche abstimmung" in text.lower()
split = bool(SPLIT_VOTE.search(rest)) and not roll_call
pro = re.search(r"Dafür:\s*(.*?)(?:,?\s*dagegen:|$)", rest, re.IGNORECASE)
contra = re.search(r"dagegen:\s*(.*)$", rest, re.IGNORECASE)
return {
"stage": text[: m.start()].strip(" :,"),
"result": "accepted" if m.group(1).lower() == "angenommen" else "rejected",
"for": [] if split or roll_call else parse_party_list(pro.group(1) if pro else None),
"against": [] if split or roll_call else parse_party_list(contra.group(1) if contra else None),
"unanimous": "einstimmig" in text.lower(),
"split": split,
"roll_call": roll_call,
}
# -- roll-call votes ----------------------------------------------------------------------
ROLL_CALL_HEADER = re.compile(r"Mit\s*[„\"“]?\s*(Ja|Nein)\s*[“\"”]?\s*stimmten[^:]*:", re.IGNORECASE)
NEW_VOTE = re.compile(r"\b(gelangen|kommen)\s+(?:\w+\s+){0,2}zur\s+Abstimmung\b", re.IGNORECASE)
PERSON_LINK = re.compile(r"<a[^>]*href=\"[^\"]*/person/(\d+)\"[^>]*>.*?</a>", re.IGNORECASE | re.DOTALL)
def parse_roll_call(html_text: str, anchor: str | None) -> dict[str, list[tuple[str, int | None]]]:
"""Extract the "Mit „Ja“ stimmten …" / "Mit „Nein“ stimmten …" lists that follow `anchor`.
Returns {"for": [(label, pad|None)], "against": [...]}. Names are mostly surnames; where a surname is
ambiguous the protocol links the person, which gives us the parliament id directly.
"""
start = 0
if anchor:
m = re.search(r'id="%s"' % re.escape(anchor), html_text)
if not m:
return {}
start = m.start()
first = ROLL_CALL_HEADER.search(html_text, start)
if not first:
return {}
# The lists must belong to this anchor: they follow within a few numbered paragraphs and no new vote
# may be called in between.
between = html_text[start + 10 : first.start()]
if anchor and (len(re.findall(r'class="[^"]*randnummer', between)) > 3 or NEW_VOTE.search(html_to_text(between))):
return {}
end_match = re.compile(r"<hr|class=\"[^\"]*randnummer").search(html_text, first.end())
segment = html_text[first.start() : end_match.start() if end_match else len(html_text)]
segment = PERSON_LINK.sub(lambda m: f" @@{m.group(1)}@@ ", segment)
text = html_to_text(segment)
result: dict[str, list[tuple[str, int | None]]] = {"for": [], "against": []}
headers = list(ROLL_CALL_HEADER.finditer(text))
for i, header in enumerate(headers):
block = text[header.end() : headers[i + 1].start() if i + 1 < len(headers) else len(text)]
key = "for" if header.group(1).lower() == "ja" else "against"
for token in re.split(r"[,;]|\.\s*$", block):
token = token.strip(" .")
if not token:
continue
link = re.fullmatch(r"@@(\d+)@@", token)
result[key].append((token, int(link.group(1))) if link else (token, None))
return result
# -- immunity -----------------------------------------------------------------------------
STGB_OFFENSES = {
"111": "Üble Nachrede", "115": "Beleidigung", "146": "Betrug", "153": "Untreue", "165": "Geldwäscherei",
"201": "Vergewaltigung", "283": "Verhetzung", "288": "Falsche Beweisaussage", "293": "Fälschung eines Beweismittels",
"295": "Unterdrückung eines Beweismittels", "297": "Verleumdung", "302": "Missbrauch der Amtsgewalt",
"304": "Bestechlichkeit", "305": "Vorteilsannahme", "306": "Vorteilsannahme zur Beeinflussung",
"307": "Bestechung", "308": "Verbotene Intervention", "310": "Verletzung des Amtsgeheimnisses",
}
def parse_immunity_report(text: str) -> dict[str, Any]:
authority = re.search(r"Ersuchen (?:der|des) (.+?),\s*(?:do\.|GZ|Zl)", text)
case_ref = re.search(r"\bGZ\.?\s*([^,]+?),", text)
# "wegen des Verdachtes einer strafbaren Handlung nach § 283 Abs. 1 Z 1 und Z 2, Abs. 2 StGB"
offense = re.search(r"wegen[^§]{0,90}?(§§? ?\d+.{0,120}?\b(?:StGB|VerbotsG|FinStrG|[A-Z][A-Za-z]*G)\b)", text)
offense_text = offense.group(1).strip() if offense else None
if offense_text:
section = re.search(r"§ ?(\d+)", offense_text)
if section and section.group(1) in STGB_OFFENSES and "StGB" in offense_text:
offense_text = f"{offense_text} ({STGB_OFFENSES[section.group(1)]})"
decision = re.search(r"(?:wird|werde)\s+(nicht\s+)?zugestimmt|(nicht\s+)?zuzustimmen", text)
recommendation = None
if decision:
recommendation = "refuse" if (decision.group(1) or decision.group(2)) else "consent"
connection = None
if re.search(r"\bkein Zusammenhang\b", text):
connection = False
elif re.search(r"\bein Zusammenhang\b", text):
connection = True
quote = re.search(r"Als Ergebnis seiner Beratungen.*?(?:zugestimmt|nicht zugestimmt)\s*\.", text)
return {
"authority": authority.group(1).strip() if authority else None,
"case_ref": case_ref.group(1).strip() if case_ref else None,
"offense": offense_text,
"recommendation": recommendation,
"political_connection": connection,
"quote": quote.group(0) if quote else None,
}
backend/politrack/sources/parlament/items.py
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"""Parliament items (Gegenstände) of the configured legislative periods.
From one list export per period (list 101) we derive:
* votes -> item detail -> VoteEvent + faction VotePositions
roll calls -> stenographic protocol -> individual VotePositions
* immunity requests ("Ersuchen um Zustimmung zur behördlichen Verfolgung") -> committee report -> Legal claim
* written questions and answers (ITYP J / AB) -> parliamentary_question claims (directly from the list)
* investigative-committee hearings ("öffentliche Befragung der Auskunftsperson ...") -> hearing Event +
appearance claim for politicians who testified (other witnesses are not stored)
"""
from __future__ import annotations
import json
import re
from collections.abc import Iterator
from typing import Any
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, register
from politrack.core.records import (
Claim,
Event,
Evidence,
Legal,
OrgRef,
Participation,
PersonRef,
VoteEvent,
VotePosition,
)
from politrack.sources.parlament.common import (
BASE,
CHAMBER_SLUG,
SPEC,
detail_request,
list_request,
list_rows,
parse_date,
parse_immunity_report,
parse_roll_call,
parse_vote_text,
walk_dicts,
)
from politrack.text import fingerprint, html_to_text, strip_titles
HEARING = re.compile(r"Befragung der Auskunftsperson\s+(?P<name>.+)$")
WITNESS_TITLES = re.compile(r"^(?:(?:Oberstaatsanwalt|Staatsanwalt|Sektionschef(?:in)?|MinR|Generalsekretär(?:in)?|"
r"Bundesminister(?:in)?|Abgeordnete[rn]?|Klubobmann|Klubobfrau|Bundeskanzler|"
r"Vizekanzler|Präsident(?:in)?)\s+)+")
@register
class ParlamentItems(Adapter):
spec = SPEC
name = "parlament.items"
description = "Votes (faction + roll call), immunity requests, written questions, U-committee hearings"
schedule = "45 3 * * *"
parser_version = 2
def start(self, ctx: RunContext) -> Iterator[Request]:
for gp in ctx.params.get("periods") or get_settings().parlament_periods:
yield list_request(101, {"GP_CODE": [gp], "NRBR": ["NR"]}, kind="items", meta={"gp": gp})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
handler = {
"items": self.parse_items,
"votes": self.parse_votes,
"rollcall": self.parse_rollcall,
"immunity": self.parse_immunity_item,
"immunity_report": self.parse_immunity_report,
"hearing": self.parse_hearing_item,
}[response.request.kind]
yield from handler(ctx, response)
# -- list ---------------------------------------------------------------------------
def parse_items(self, ctx: RunContext, response: Response) -> Iterator[Any]:
for row in list_rows(response.json()):
path, subject, kind = row.get("HIS_URL"), row.get("Betreff") or "", row.get("ITYP")
if not path:
continue
if row.get("Dafür") or row.get("Dagegen") or row.get("Abstimmungstext"):
# The list row changes when new votes happen, so the detail is re-fetched only then
# (conditional request + unchanged-body detection do the rest).
yield detail_request(path, kind="votes", meta={"title": subject, "ref": row.get("Nummer")})
if subject.startswith("Ersuchen") and "behördlichen Verfolgung" in subject:
yield detail_request(path, kind="immunity",
meta={"title": subject, "date": row.get("Datum"), "status": row.get("Status")})
if kind in ("J", "AB"):
yield from self.question_claims(row, path)
if kind == "KOMM" and HEARING.search(subject):
yield detail_request(path, kind="hearing", meta={"title": subject, "date": row.get("Datum")})
def question_claims(self, row: dict, path: str) -> Iterator[Claim]:
pads = row.get("Personen") or "[]"
pads = json.loads(pads) if isinstance(pads, str) else pads
subject = row.get("Betreff") or ""
is_question = row.get("ITYP") == "J"
asked = parse_date(row.get("Datum"))
topics = tuple(json.loads(row.get("THEMEN") or "[]")) if isinstance(row.get("THEMEN"), str) else ()
for pad in pads:
if not str(pad).strip():
continue
verb_de = "stellte die schriftliche Anfrage" if is_question else "beantwortete die Anfrage"
verb_en = "submitted the written question" if is_question else "answered the question"
yield Claim(
claim_type="parliamentary_question", person=PersonRef(ids={"parlament": str(pad)}),
key=("question", path, str(pad)), occurred_at=asked,
summary_de=f"{verb_de[0].upper()}{verb_de[1:]} „{subject}“ ({row.get('Nummer')})",
summary_en=f"{verb_en[0].upper()}{verb_en[1:]} \"{subject}\" ({row.get('Nummer')})",
data={"kind": "question" if is_question else "answer", "number": row.get("Nummer")},
evidence=[Evidence(url=f"{BASE}{path}", doc_type="api_record", title=subject, published_at=asked)],
topics=topics,
)
# -- votes ----------------------------------------------------------------------------
def parse_votes(self, ctx: RunContext, response: Response) -> Iterator[Any]:
content = response.json().get("content") or {}
path = response.request.url.removeprefix(BASE)
title = html_to_text(content.get("title")) or response.meta.get("title") or path
item_ref = html_to_text(content.get("zitation")) or response.meta.get("ref")
item_url = f"{BASE}{path}"
topics = tuple(b.get("label") for b in ((content.get("topics") or {}).get("data") or {}).get("bubbles") or [])
eurovoc = [b.get("label") for b in ((content.get("eurovoc") or {}).get("data") or {}).get("bubbles") or []]
for stage in walk_dicts(content.get("phase") or content, "text"):
text = html_to_text(stage.get("text"))
if "angenommen" not in text and "abgelehnt" not in text:
continue
parsed = parse_vote_text(text)
if not parsed or not (parsed["for"] or parsed["against"] or parsed["unanimous"] or parsed["split"]
or parsed["roll_call"]):
continue
voted_on = parse_date(stage.get("date"))
refs = stage.get("fsth") or []
protocol_url = f"{BASE}{refs[0]['url']}" if refs and refs[0].get("url") else None
chamber = "BR" if (refs and refs[0].get("gp_code") == "BR") or "Bundesrat" in text else "NR"
chamber_ref = OrgRef(slug=CHAMBER_SLUG[chamber])
event_key = fingerprint("vote", path, voted_on, parsed["stage"])
yield VoteEvent(key=event_key, chamber=chamber_ref, title=title, voted_on=voted_on, result=parsed["result"],
stage=parsed["stage"], item_ref=item_ref, roll_call=parsed["roll_call"], url=item_url,
protocol_url=protocol_url, raw_text=text)
evidence = [Evidence(url=item_url, doc_type="api_record", title=title, published_at=voted_on, quote=text,
locator=f"stage:{voted_on}:{parsed['stage'][:80]}")]
if protocol_url:
evidence.append(Evidence(url=protocol_url, doc_type="protocol", published_at=voted_on,
title=refs[0].get("title") or "Stenographisches Protokoll"))
outcome = "angenommen" if parsed["result"] == "accepted" else "abgelehnt"
for party, position in [(p, "for") for p in parsed["for"]] + [(p, "against") for p in parsed["against"]]:
verb_de, verb_en = ("stimmte für", "voted for") if position == "for" else ("stimmte gegen", "voted against")
yield Claim(
claim_type="vote", org=OrgRef(name=party, short_name=party, kind="parliamentary_group"),
counterpart_org=chamber_ref, occurred_at=voted_on,
summary_de=f"{party} {verb_de}: {title} ({parsed['stage']}) – {outcome}",
summary_en=f"{party} {verb_en}: {title} ({parsed['stage']})",
data={"position": position, "result": parsed["result"], "item_ref": item_ref, "chamber": chamber,
"eurovoc": eurovoc},
evidence=evidence, topics=topics, facet=VotePosition(event_key=event_key, position=position),
)
if parsed["roll_call"]:
# Individual votes are listed in the protocol after one of the referenced anchors; the
# result is usually behind the last one, sometimes in another fragment (session break).
refs_list = [r["url"].split("#", 1) for r in reversed(refs) if r.get("url") and "#" in r["url"]]
if refs_list:
yield Request(url=f"{BASE}{refs_list[0][0]}", kind="rollcall",
meta={"event_key": event_key, "refs": refs_list, "tried": [refs_list[0][0]],
"title": title, "chamber": chamber, "date": str(voted_on),
"item_url": item_url, "topics": list(topics)})
def parse_rollcall(self, ctx: RunContext, response: Response) -> Iterator[Any]:
meta = response.meta
doc = response.request.url.removeprefix(BASE)
names: dict[str, list] = {}
anchor_used = None
for ref_doc, anchor in meta["refs"]:
if ref_doc != doc:
continue
names = parse_roll_call(response.text, anchor)
if names.get("for") or names.get("against"):
anchor_used = anchor
break
if anchor_used is None:
remaining = [d for d, _ in meta["refs"] if d not in meta["tried"]]
if remaining:
ctx.stats["rollcall_followup"] += 1
yield Request(url=f"{BASE}{remaining[0]}", kind="rollcall",
meta={**meta, "tried": [*meta["tried"], remaining[0]]})
else:
ctx.stats["rollcall_unparsed"] += 1
return
voted_on = parse_date(meta["date"])
body = CHAMBER_SLUG[meta["chamber"]]
source_url = f"{response.request.url}#{anchor_used}"
evidence = [
Evidence(url=source_url, doc_type="protocol", published_at=voted_on,
title="Stenographisches Protokoll – Ergebnis der namentlichen Abstimmung", locator=anchor_used),
Evidence(url=meta["item_url"], doc_type="api_record", title=meta["title"], published_at=voted_on,
locator=f"rollcall:{voted_on}"),
]
for position, entries in names.items():
answer = "Ja" if position == "for" else "Nein"
for label, pad in entries:
ref = (PersonRef(ids={"parlament": str(pad)}) if pad is not None else
PersonRef(name=strip_titles(label), hints={"surname_in_body": body, "on": voted_on}))
yield Claim(
claim_type="vote", person=ref, counterpart_org=OrgRef(slug=body), occurred_at=voted_on,
summary_de=f"Stimmte in namentlicher Abstimmung mit „{answer}“: {meta['title']}",
summary_en=f"Voted \"{'yes' if position == 'for' else 'no'}\" in a roll-call vote: {meta['title']}",
data={"position": position, "roll_call": True, "chamber": meta["chamber"], "label": label},
evidence=evidence, topics=tuple(meta.get("topics") or ()),
facet=VotePosition(event_key=meta["event_key"], position=position),
)
# -- immunity -----------------------------------------------------------------------
def parse_immunity_item(self, ctx: RunContext, response: Response) -> Iterator[Request]:
content = response.json().get("content") or {}
report = next((d["link"] for group in content.get("documents") or [] for d in group.get("documents") or []
if d.get("type") == "HTML"), None)
if report:
yield Request(url=f"{BASE}{report}", kind="immunity_report",
meta={**response.meta, "item": response.request.url.removeprefix(BASE),
"title": html_to_text(content.get("title")) or response.meta.get("title")})
def parse_immunity_report(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
meta = response.meta
text = html_to_text(response.text)
details = parse_immunity_report(text)
title = meta["title"]
name = re.sub(r"^.*?(Abgeordneten zum Nationalrat|Mitglied(es)? des Bundesrates)\s*(Klubobmann|Klubobfrau)?",
"", title).strip()
decided = str(meta.get("status")) == "5"
stage = {"consent": "immunity_waived" if decided else "immunity_waiver_requested",
"refuse": "immunity_refused" if decided else "immunity_waiver_requested"}.get(
details["recommendation"] or "", "immunity_waiver_requested")
stage_de = {"immunity_waived": "Nationalrat stimmte der behördlichen Verfolgung zu (Immunität aufgehoben)",
"immunity_refused": "Nationalrat verweigerte die Zustimmung zur behördlichen Verfolgung",
"immunity_waiver_requested": "Ersuchen um Aufhebung der Immunität"}[stage]
offense = details["offense"]
requested = parse_date(meta.get("date"))
yield Claim(
claim_type="legal_proceeding", person=PersonRef(name=strip_titles(name)),
key=("immunity", meta["item"]), occurred_at=requested, sensitive=True,
summary_de=stage_de + (f" – Verdacht nach {offense}" if offense else "")
+ (f" (Ersuchen: {details['authority']})" if details["authority"] else ""),
data={"political_connection": details["political_connection"],
"recommendation": details["recommendation"], "item": meta["item"]},
evidence=[
Evidence(url=response.request.url, doc_type="register_entry", published_at=requested,
title=f"Bericht des Immunitätsausschusses: {title}", quote=details["quote"], full_text=text),
Evidence(url=f"{BASE}{meta['item']}", doc_type="api_record", title=title, published_at=requested),
],
topics=("Inneres und Recht",),
facet=Legal(stage=stage, offense=offense, authority=details["authority"], case_ref=details["case_ref"],
stage_date=requested),
)
# -- investigative-committee hearings ----------------------------------------------
def parse_hearing_item(self, ctx: RunContext, response: Response) -> Iterator[Any]:
content = response.json().get("content") or {}
title = html_to_text(content.get("title")) or response.meta["title"]
m = HEARING.search(title)
if not m:
return
witness = WITNESS_TITLES.sub("", strip_titles(m.group("name"))).strip()
published = parse_date(response.meta.get("date"))
protocol = next((d["link"] for group in content.get("documents") or [] for d in group.get("documents") or []
if d.get("type") == "HTML"), None)
url = f"{BASE}{protocol}" if protocol else response.request.url.split("?")[0]
event_key = fingerprint("hearing", response.request.url)
yield Event(key=event_key, kind="hearing", title=f"Befragung im Untersuchungsausschuss: {witness}",
starts_at=published, location="Parlament, Wien", country="AT", url=url,
description=title, body=OrgRef(slug="nationalrat"))
yield Claim(
claim_type="appearance", person=PersonRef(name=witness), occurred_at=published,
summary_de=f"Befragung als Auskunftsperson im Untersuchungsausschuss ({title})",
summary_en="Questioned as a witness by a parliamentary investigative committee",
data={"context": "investigative_committee"},
evidence=[Evidence(url=url, doc_type="protocol", title=title, published_at=published)],
topics=("Transparenz und Korruption",),
facet=Participation(event_key=event_key, participation="witness"),
)
backend/politrack/sources/parlament/news.py
+124
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"""Parliament press releases (Parlamentskorrespondenz, list 110) and calendar (Termine, list 600). CC BY 4.0.
Press releases are stored with full text; the people they link (/person/<id>) get a mention claim.
The event extractor later turns visits, receptions and trips described in them into meeting/travel
claims. The calendar fills the calendar view with sessions, committee meetings, hearings and events.
"""
from __future__ import annotations
import json
import re
from collections.abc import Iterator
from datetime import date, timedelta
from typing import Any
from politrack.core import Adapter, Request, Response, RunContext, register
from politrack.core.records import Claim, Document, Event, Evidence, OrgRef, PersonRef
from politrack.sources.parlament.common import BASE, CHAMBER_SLUG, SPEC, list_request, list_rows, parse_date
from politrack.text import excerpt, fingerprint, html_to_text
ISO_DATE = re.compile(r"^\d{4}-\d{2}-\d{2}")
SKIP_TERMIN = re.compile(r"Guided Tour|Führung|Galeriebesuch|Besuch einer Plenarsitzung|Demokratiebildung", re.I)
TERMIN_KIND = [
(re.compile(r"Plenarsitzung|Bundesversammlung|Fest-|Gedenksitzung", re.I), "parliament_session"),
(re.compile(r"Untersuchungsausschuss", re.I), "hearing"),
(re.compile(r"Ausschuss|Enquete", re.I), "committee"),
(re.compile(r"Pressekonferenz", re.I), "press_conference"),
(re.compile(r"Internationales|Konferenz", re.I), "meeting"),
]
def release_body(content: list) -> str:
"""The detail JSON is a list of render blocks; the article is the one wrapped in <div class=pk>."""
for block in content:
text = (block.get("data") or {}).get("text") if isinstance(block, dict) else None
if isinstance(text, str) and re.search(r"class=\"?pk\b", text):
return text
return ""
@register
class ParlamentPress(Adapter):
spec = SPEC
name = "parlament.press"
description = "Parlamentskorrespondenz: official press releases with linked people"
schedule = "5 */2 * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
last = ctx.state.get("last_date")
backfill = int(ctx.params.get("backfill_days", 365))
since = (date.fromisoformat(last) - timedelta(days=2)) if last else date.today() - timedelta(days=backfill)
yield list_request(110, {"DATERANGE": [since.isoformat(), date.today().isoformat()]}, kind="list",
meta={"since": since.isoformat()})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
if response.request.kind == "list":
newest = response.meta["since"]
for row in list_rows(response.json()):
if not row.get("Link"):
continue
published = parse_date(row.get("Datum")) # "23.10.2026" (German) in list 110
if published:
newest = max(newest, published.isoformat())
yield Request(url=f"{BASE}{row['Link']}", params={"json": "TRUE"}, kind="release",
meta={k: row.get(k) for k in ("Titel", "Untertitel", "Datum", "Nr.", "Abothemen",
"Stichworte")})
if ctx.mode != "test":
ctx.state.set("last_date", newest)
return
yield from self.parse_release(response)
def parse_release(self, response: Response) -> Iterator[Any]:
meta = response.meta
url = response.request.url
body_html = release_body(response.json().get("content") or [])
pads = sorted({p for p in re.findall(r"/person/(\d+)", body_html)})
text = html_to_text(body_html)
title, subtitle = meta.get("Titel") or "", meta.get("Untertitel") or ""
topics_raw = meta.get("Abothemen")
topics = tuple(json.loads(topics_raw)) if isinstance(topics_raw, str) and topics_raw.startswith("[") else ()
published = parse_date(meta.get("Datum"))
yield Document(Evidence(url=url, doc_type="press_release", title=title, published_at=published,
excerpt=subtitle or excerpt(text, 300), full_text=f"{title}\n{subtitle}\n{text}",
meta={"pk_number": meta.get("Nr."), "person_pads": pads, "topics": list(topics)}))
for pad in pads:
yield Claim(
claim_type="media_mention", person=PersonRef(ids={"parlament": pad}), occurred_at=published,
summary_de=f"Parlamentskorrespondenz: {title}",
data={"context": "parlamentskorrespondenz"},
evidence=[Evidence(url=url, doc_type="press_release", title=title, published_at=published,
quote=subtitle or None, stance="mentions")],
topics=topics,
)
@register
class ParlamentCalendar(Adapter):
spec = SPEC
name = "parlament.calendar"
description = "Parliament calendar: plenary sessions, committees, hearings, events (tours skipped)"
schedule = "30 2 * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
yield list_request(600, {}, kind="list")
def parse(self, ctx: RunContext, response: Response) -> Iterator[Event]:
since = str(ctx.params.get("since_year", date.today().year - 2))
for row in list_rows(response.json()):
kind_label = (row.get("Terminart") or "").replace("<BR>", " ")
starts = next((v for k, v in row.items() if k.startswith("Datum") and k != "Datum Bis"
and isinstance(v, str) and ISO_DATE.match(v)), None)
if not starts or starts[:4] < since or SKIP_TERMIN.search(f"{kind_label} {row.get('Bezeichnung') or ''}"):
continue
title = row.get("Bezeichnung") or kind_label
kind = next((k for pattern, k in TERMIN_KIND if pattern.search(f"{kind_label} {title}")), "public_event")
chamber = {"Nationalrat": "NR", "Bundesrat": "BR"}.get(row.get("Gremium") or "")
ends = next((v for k, v in row.items() if k.startswith("Datum Bis") and isinstance(v, str)
and ISO_DATE.match(v)), None)
yield Event(
key=fingerprint("termin", row.get("WENTRY_ID") or row.get("Link")), kind=kind, title=title,
starts_at=starts, ends_at=ends, location=(row.get("Ort") or "").replace(" | ", ", ") or "Parlament, Wien",
country="AT", url=f"{BASE}{row['Link']}" if row.get("Link") else None, description=kind_label,
body=OrgRef(slug=CHAMBER_SLUG[chamber]) if chamber else None,
)
backend/politrack/sources/parlament/persons.py
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"""Parliament: people, mandates, government functions, side-job disclosures, social links, speeches.
Flow: list 409 (all MPs since 1918) -> PersonRecord + mandate roles
-> detail /person/<id> for members of the configured periods
detail -> photo, social accounts, functions, side jobs (§6 Unv-Transparenz-G)
-> list 251 (speeches of that person)
"""
from __future__ import annotations
import json
import re
from collections.abc import Iterator
from typing import Any
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, register
from politrack.core.records import Claim, Evidence, OrgRef, PersonRecord, PersonRef, Role, SocialAccount, Statement
from politrack.sources.parlament.common import (
BASE,
CHAMBER_NAME_DE,
CHAMBER_SLUG,
GOVERNMENT_RE,
SPEC,
detail_request,
list_request,
list_rows,
parse_date,
walk_dicts,
)
from politrack.text import firmenbuch_number, html_to_text, strip_titles
SOCIAL_PLATFORMS = {"TWITTER": "twitter", "FACEBOOK": "facebook", "INSTAGRAM": "instagram", "TIKTOK": "tiktok",
"YOUTUBE": "youtube", "LINKEDIN": "linkedin", "WEBSITE": "website", "BLUESKY": "bluesky",
"MASTODON": "mastodon", "TELEGRAM": "telegram", "THREADS": "threads"}
FN_IN_TEXT = re.compile(r"\bFN\s*\d{1,6}\s?[a-zA-Z]\b")
POSTCODE_CITY = re.compile(r"(?:(?<=\d)|\b)\d{4}\s+[A-ZÄÖÜ][\wäöüß .\-]*$")
LEGAL_FORM_END = re.compile(r"(?i:gesmbh|gmbh|ges\.\s?m\.\s?b\.\s?h\.?|m\.\s?b\.\s?h\.?|aktiengesellschaft|\bag|\bkg|\bog|"
r"e\.\s?u\.|\bse|privatstiftung|genossenschaft|sparkasse)(?=[A-ZÄÖÜ\s,]|$)")
STREET_WORD = r"\S*(?:straße|strasse|str\.|gasse|platz|weg|kai|ring|allee|zeile|lände|markt|steig)"
def strip_street(text: str) -> str:
"""'Verein Musterhilfe Hauptstraße 12' -> 'Verein Musterhilfe' (greedy name, shortest street suffix)."""
m = (re.match(rf"^(.*\S)\s+{STREET_WORD}\s*\d+[a-z]?(?:/\d+)*\s*$", text, re.IGNORECASE)
or re.match(r"^(.*\S)\s+\S+\s*\d+[a-z]?(?:/\d+)*\s*$", text))
return m.group(1) if m else text
def employer(cell: str) -> tuple[str | None, str | None]:
"""Employer name without business address, plus its company register number.
'Hypo Tirol Bank AG, Meraner Straße 8, 6020 Innsbruck' -> ('Hypo Tirol Bank AG', None)
'25 PersonaldienstleistungsgesmbHFranz Josef Kai 95020 Salzburg FN306527a' (parliament's JSON glues
the lines together) -> ('25 PersonaldienstleistungsgesmbH', '306527a')
"""
cell = re.sub(r"^lit\.\s*\w\s*:\s*", "", cell).strip()
fn_match = FN_IN_TEXT.search(cell)
fn = firmenbuch_number(fn_match.group(0)) if fn_match else None
name = FN_IN_TEXT.sub("", cell).split(",")[0].strip(" *")
address = POSTCODE_CITY.search(name)
if address:
head = name[:address.start()]
ends = [m.end() for m in LEGAL_FORM_END.finditer(head)]
# cut after the last legal form; otherwise drop "<street> <number>" before the postcode
name = head[:ends[-1]] if ends else strip_street(head)
name = name.strip(" ,-*")
return (name if len(name) >= 3 and not re.fullmatch(r"[\d\s.€-]+", name) else None), fn
@register
class ParlamentPersons(Adapter):
spec = SPEC
name = "parlament.persons"
description = "Members of Nationalrat and Bundesrat since 1918, mandates, functions, side jobs, speeches"
schedule = "15 3 * * *"
creates_persons = True
parser_version = 3
def start(self, ctx: RunContext) -> Iterator[Request]:
yield list_request(409, {"NRBR": ["NR", "BR"]}, kind="persons")
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
kind = response.request.kind
if kind == "persons":
yield from self.parse_persons(ctx, response)
elif kind == "person":
yield from self.parse_person(ctx, response)
elif kind == "speeches":
yield from self.parse_speeches(ctx, response)
# -- persons & mandates -------------------------------------------------------------
def parse_persons(self, ctx: RunContext, response: Response) -> Iterator[Any]:
periods = set(ctx.params.get("periods") or get_settings().parlament_periods)
for row in list_rows(response.json()):
attr = row.get("Attribute") or {}
if isinstance(attr, str):
attr = json.loads(attr)
m = re.search(r"/person/(\d+)", attr.get("uri") or "")
if not m:
continue
pad = m.group(1)
ref = PersonRef(ids={"parlament": pad})
display = attr.get("zit") or strip_titles(row.get("Name") or "")
yield PersonRecord(ref=ref, full_name=display, given_name=row.get("vorname"), family_name=row.get("nachname"),
gender={"M": "male", "W": "female"}.get(row.get("GESCHL_CODE") or attr.get("geschlecht")))
mandates = attr.get("mandate_detail") or []
for mandate in mandates:
claim = self.mandate_claim(pad, display, mandate)
if claim:
yield claim
if any(md.get("gp_code") in periods for md in mandates):
yield detail_request(f"/person/{pad}", kind="person", meta={"pad": pad, "name": display})
def mandate_claim(self, pad: str, name: str, m: dict) -> Claim | None:
code = m.get("mand_code") or "NR"
if code not in CHAMBER_SLUG:
return None
party_code = m.get("wahlpartei_code")
party_name = m.get("wahlpartei_full_txt") or m.get("wahlpartei_txt") or party_code
party = OrgRef(name=party_name, short_name=party_code, kind="party") if party_name else None
start, end = parse_date(m.get("mandat_von")), parse_date(m.get("mandat_bis"))
gp = m.get("gp_code") or ""
region = m.get("wahlkreis_bundesland")
label = party_code or party_name or "?"
body = OrgRef(slug=CHAMBER_SLUG[code])
return Claim(
claim_type="role",
person=PersonRef(ids={"parlament": pad}),
org=body,
counterpart_org=party,
valid_from=start,
valid_to=end,
summary_de=f"{name}: Mandat im {CHAMBER_NAME_DE[code]} ({gp}. GP) für {label}"
+ (f", Wahlkreis {region}" if region else ""),
summary_en=f"{name}: member of the {CHAMBER_NAME_DE[code]} ({gp} legislative period) for {label}",
data={"gp": gp, "party_code": party_code, "faction_code": m.get("fraktionscode"), "region": region},
evidence=[Evidence(url=f"{BASE}/person/{pad}", doc_type="api_record", title=f"Parlament: {name}",
locator=f"mandat:{code}:{gp}:{start}")],
facet=Role(role="mp", level="federal", body=body, party=party, region=region, start=start, end=end),
)
# -- person detail ----------------------------------------------------------------
def parse_person(self, ctx: RunContext, response: Response) -> Iterator[Any]:
data = response.json()
content = data.get("content") or {}
pad, name = response.meta["pad"], response.meta["name"]
ref = PersonRef(ids={"parlament": pad})
url = f"{BASE}/person/{pad}"
photo = ((data.get("meta") or {}).get("openGraph") or {}).get("image")
if photo:
yield PersonRecord(ref=ref, full_name=name, photo_url=photo)
for account in (content.get("kontakt") or {}).get("socialMedia") or []:
platform = SOCIAL_PLATFORMS.get((account.get("type") or "").upper(), (account.get("type") or "website").lower())
yield SocialAccount(platform=platform, url=account["url"], person=ref, verified=True)
for fn in walk_dicts(content.get("biografie") or {}, "funktion_text"):
if fn.get("gremium") in CHAMBER_SLUG:
continue
text = fn.get("funktion_text") or fn.get("bez")
if not text:
continue
start, end = parse_date(fn.get("funktion_von")), parse_date(fn.get("funktion_bis"))
is_gov = bool(GOVERNMENT_RE.search(text))
body = OrgRef(slug="bundesregierung") if is_gov else None
yield Claim(
claim_type="role", person=ref, org=body, valid_from=start, valid_to=end,
summary_de=f"{name}: {text}",
evidence=[Evidence(url=url, doc_type="api_record", title=f"Parlament: {name}",
locator=f"funktion:{text}:{start}")],
facet=Role(role=text, level="federal" if is_gov else "other", body=body, start=start, end=end),
)
yield from self.side_jobs(ref, pad, name, content.get("unvtrans") or {})
yield list_request(251, {"PAD_INTERN": [int(pad)]}, kind="speeches", meta={"pad": pad, "name": name})
def side_jobs(self, ref: PersonRef, pad: str, name: str, unv: dict) -> Iterator[Claim]:
"""Disclosures under §6 Unv-Transparenz-G: leading positions, paid side jobs, honorary positions."""
tables = unv.get("unvtransData") or {}
pdf = next((d["link"] for group in unv.get("linkliste") or [] for d in group.get("documents") or []
if d.get("link", "").endswith(f"/person/{pad}/BezBegrBVGPar9.pdf")), None)
for key, table in tables.items():
m = re.fullmatch(r"(z\d+)Table", key)
if not m or not isinstance(table, dict):
continue
header = html_to_text(tables.get(f"{m.group(1)}Header")) or key
for row in (table.get("data") or {}).get("rows") or []:
cells = [c for c in (html_to_text(c) for c in row if isinstance(c, str)) if c]
if not cells:
continue
name_, fn = employer(cells[0]) if m.group(1) in ("z1", "z2", "z3") else (None, None)
if name_: # never keep the (business) address that parliament publishes with the employer
cells = [name_ + (f" (FN {fn})" if fn else ""), *cells[1:]]
text = " – ".join(cells)
yield Claim(
claim_type="side_job", person=ref, key=("unvtrans", pad, m.group(1), text),
counterpart_org=OrgRef(name=name_, kind="company" if LEGAL_FORM_END.search(name_) else "other",
ids={"firmenbuch": fn} if fn else {}) if name_ else None,
summary_de=f"{name} – {header.split(' - ')[0]}: {text}",
data={"category": header, "cells": cells, "unpaid": "*" in "".join(str(c) for c in row),
"employer": name_, "firmenbuch": fn},
evidence=[Evidence(url=f"{BASE}{pdf}" if pdf else f"{BASE}/person/{pad}", doc_type="register_entry",
title=f"Unvereinbarkeits-/Transparenzliste {name}", quote=text,
locator=f"unvtrans:{m.group(1)}")],
topics=("Transparenz und Korruption",),
)
# -- speeches -----------------------------------------------------------------------
def parse_speeches(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
periods = set(ctx.params.get("periods") or get_settings().parlament_periods)
pad, name = response.meta["pad"], response.meta["name"]
for row in list_rows(response.json()):
if row.get("GP") not in periods and row.get("GREMIUM") != "B":
continue
html_cells = " ".join(str(v) for v in row.values() if isinstance(v, str))
protocol = re.search(r'href="(/dokument/[^"]+)"', html_cells)
session = html_to_text(row.get("Sitzung"))
topic = html_to_text(row.get("Rede"))
said_at = row.get("fromDate")
url = f"{BASE}{protocol.group(1)}" if protocol else f"{BASE}/person/{pad}"
chamber = "Bundesrat" if row.get("GREMIUM") == "B" else "Nationalrat"
yield Claim(
claim_type="statement", person=PersonRef(ids={"parlament": pad}),
key=("parl-speech", pad, row.get("Sortier"), topic), occurred_at=said_at,
summary_de=f"{name} sprach im {chamber} zu: {topic}",
summary_en=f"{name} spoke in the {chamber} on: {topic}",
data={"session": session, "gp": row.get("GP"), "item_title": topic},
evidence=[Evidence(url=url, doc_type="protocol", title=session, published_at=parse_date(said_at),
locator=url.split("#", 1)[-1] if "#" in url else "")],
facet=Statement(context="parliament_speech", url=url, said_at=said_at, medium=chamber, title=topic),
)
backend/politrack/sources/political_ads.py
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"""Political advertising on online platforms.
* Google Political Ads Transparency Report - public download bundle (zip with CSVs, ~300 MB). We keep
ads served in Austria (Regions contains "AT"): advertiser, period, impressions bracket, spend range.
Note: Google stopped serving political ads in the EU in October 2025 (EU TTPA regulation), so this
is historical data (2019-2025).
* Meta Ad Library API (political and issue ads reaching Austria) - requires an identity-verified developer
token (POLITRACK_META_AD_LIBRARY_TOKEN) and page ids in config/meta_pages.yaml; skipped otherwise.
Advertisers are resolved to parties/organisations by name where possible (e.g. "FPÖ", "SPÖ Wien").
"""
from __future__ import annotations
import csv
import io
import zipfile
from collections.abc import Iterator
from datetime import date
from typing import Any
import yaml
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, Money, OrgRef
from politrack.text import format_eur_de
GOOGLE_BUNDLE = "https://storage.googleapis.com/political-csv/google-political-ads-transparency-bundle.zip"
GOOGLE_SPEC = SourceSpec(
slug="google-political-ads", name="Google Political Ads Transparency Report", kind="aggregator",
homepage="https://adstransparency.google.com/political", license="Google transparency data (public download)",
access="bulk", trust=85, keep_raw=False, min_interval=5.0,
tos_notes="Public CSV bundle of political ads. ~300 MB; fetched monthly with conditional requests.",
)
META_SPEC = SourceSpec(
slug="meta-adlibrary", name="Meta Ad Library", kind="social", homepage="https://www.facebook.com/ads/library/api",
license="Meta Platform Terms", access="api", trust=80, min_interval=2.0,
tos_notes="Official Ad Library API for political and issue ads (identity-verified developer token required).",
)
META_API = "https://graph.facebook.com/v21.0/ads_archive"
def col(row: dict[str, str], *names: str) -> str | None:
lowered = {k.lower(): v for k, v in row.items()}
for name in names:
if lowered.get(name.lower()) not in (None, ""):
return lowered[name.lower()]
return None
@register
class GooglePoliticalAds(Adapter):
spec = GOOGLE_SPEC
name = "ads.google"
description = "Political ads served in Austria on Google/YouTube (historical, until 10/2025)"
schedule = "0 3 1 * *"
queue = "bulk"
def start(self, ctx: RunContext) -> Iterator[Request]:
yield Request(url=GOOGLE_BUNDLE, kind="bundle")
def parse(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
since = ctx.params.get("since") or get_settings().ad_archive_since
with zipfile.ZipFile(io.BytesIO(response.body)) as bundle:
name = next((n for n in bundle.namelist() if n.endswith("creative-stats.csv")), None)
if name is None:
ctx.stats["creative_stats_missing"] += 1
return
with bundle.open(name) as fh:
for row in csv.DictReader(io.TextIOWrapper(fh, encoding="utf-8", errors="replace")):
regions = (col(row, "Regions") or "").replace(" ", "").split(",")
if "AT" not in regions:
continue
start = col(row, "Date_Range_Start") or ""
if start < since:
continue
advertiser = col(row, "Advertiser_Name") or "?"
low, high = col(row, "Spend_Range_Min_EUR"), col(row, "Spend_Range_Max_EUR")
ad_url = col(row, "Ad_URL") or GOOGLE_BUNDLE
payer = OrgRef(name=advertiser, kind="other", ids={"google_advertiser": col(row, "Advertiser_ID") or ""})
spend = f"{format_eur_de(low)}–{format_eur_de(high)} €" if low and high else None
yield Claim(
claim_type="money_flow", org=payer, occurred_at=start,
summary_de=f"Politische Google-Werbung von {advertiser} ({start} – {col(row, 'Date_Range_End')})"
+ (f", Ausgaben {spend}" if spend else ""),
summary_en=f"Political Google ad by {advertiser} ({start} – {col(row, 'Date_Range_End')})",
data={"impressions": col(row, "Impressions"), "ad_type": col(row, "Ad_Type"),
"age_targeting": col(row, "Age_Targeting"), "gender_targeting": col(row, "Gender_Targeting"),
"geo_included": col(row, "Geo_Targeting_Included")},
evidence=[Evidence(url=ad_url, doc_type="dataset_row", title=f"Google Ads Transparency: {advertiser}",
published_at=start)],
facet=Money(kind="political_ad", payer=payer, payer_name=advertiser,
payee=OrgRef(name="Google", kind="company"), payee_name="Google",
paid_on=date.fromisoformat(start[:10]) if start else None,
amount_category=spend, reference=col(row, "Ad_ID"), category=col(row, "Ad_Type")),
)
@register
class MetaPoliticalAds(Adapter):
spec = META_SPEC
name = "ads.meta"
description = "Political/issue ads reaching Austria from Meta's Ad Library (token + page list required)"
schedule = "0 4 * * 4"
queue = "bulk"
FIELDS = ("id,page_id,page_name,bylines,ad_delivery_start_time,ad_delivery_stop_time,spend,impressions,"
"currency,ad_snapshot_url,ad_creative_bodies")
def start(self, ctx: RunContext) -> Iterator[Request]:
token = get_settings().meta_ad_library_token
path = get_settings().config_dir / "meta_pages.yaml"
if not token or not path.exists():
ctx.stats["skipped_not_configured"] = 1
return
pages = [str(p["page_id"]) for p in (yaml.safe_load(path.read_text(encoding="utf-8")) or {}).get("pages", [])]
for i in range(0, len(pages), 10):
yield Request(url=META_API, kind="ads", conditional=False, params={
"access_token": token, "ad_reached_countries": '["AT"]', "ad_type": "POLITICAL_AND_ISSUE_ADS",
"search_page_ids": ",".join(pages[i:i + 10]), "fields": self.FIELDS, "limit": 250,
"ad_delivery_date_min": ctx.params.get("since") or get_settings().ad_archive_since})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
data = response.json()
next_url = (data.get("paging") or {}).get("next")
if next_url:
yield Request(url=next_url, kind="ads", conditional=False)
for ad in data.get("data") or []:
spend = ad.get("spend") or {}
payer_name = ad.get("bylines") or ad.get("page_name") or "?"
payer = OrgRef(name=ad.get("page_name") or payer_name, kind="other", ids={"facebook_page": ad.get("page_id")})
rng = f"{spend.get('lower_bound')}–{spend.get('upper_bound')} {ad.get('currency') or 'EUR'}" if spend else None
start = (ad.get("ad_delivery_start_time") or "")[:10]
yield Claim(
claim_type="money_flow", org=payer, occurred_at=start or None,
summary_de=f"Politische Meta-Werbung von {payer_name} ab {start}" + (f", Ausgaben {rng}" if rng else ""),
data={"impressions": ad.get("impressions"), "bodies": (ad.get("ad_creative_bodies") or [])[:2]},
evidence=[Evidence(url=ad.get("ad_snapshot_url") or f"https://www.facebook.com/ads/library/?id={ad['id']}",
doc_type="dataset_row", title=f"Meta Ad Library: {payer_name}", published_at=start or None)],
facet=Money(kind="political_ad", payer=payer, payer_name=payer_name,
payee=OrgRef(name="Meta Platforms", kind="company"), payee_name="Meta",
paid_on=date.fromisoformat(start) if start else None, amount_category=rng,
reference=ad.get("id")),
)
backend/politrack/sources/procurement.py
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"""Public procurement: contract award notices published as open "core data" (Kerndaten, §62/64 BVergG 2018).
Every contracting authority (or the platform it uses) publishes a "Kerndatenquelle" (KDQ): an XML index
<kdq><item id lastmod><url>…</url></item>…</kdq> listed as a dataset on data.gv.at. Each item is one
notice; since 2023/24 notices use the EU eForms UBL schema. We keep ContractAwardNotice documents
(who bought what from whom, for how much) and skip calls for tenders.
Correlations this enables: suppliers that are also party donors, sponsors or side-job employers of
politicians; contracts by ministries led by a given minister (organisation pages).
Volume: tens of thousands of notices; first run backfills from POLITRACK_PROCUREMENT_SINCE, later runs only
fetch items whose lastmod changed. Runs on the `bulk` queue.
"""
from __future__ import annotations
import xml.etree.ElementTree as ET
from collections.abc import Iterator
from datetime import date
from typing import Any
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, Money, OrgRef
from politrack.text import firmenbuch_number, format_eur_de
HUB = "https://www.data.gv.at/api/hub/search/search"
SPEC = SourceSpec(
slug="vergabe", name="Öffentliche Aufträge (Kerndaten, data.gv.at)", kind="official",
homepage="https://www.data.gv.at", license="Open data (free licence required by §64 BVergG 2018)", access="bulk",
trust=90, min_interval=1.0,
tos_notes="Contracting authorities must publish award core data as open, machine-readable data under a free "
"licence (BVergG 2018). We read each publisher's Kerndatenquelle (KDQ) XML and its eForms notices.",
)
NS = {
"cbc": "urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-2",
"cac": "urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-2",
"efac": "http://data.europa.eu/p27/eforms-ubl-extension-aggregate-components/1",
"efbc": "http://data.europa.eu/p27/eforms-ubl-extension-basic-components/1",
"efext": "http://data.europa.eu/p27/eforms-ubl-extensions/1",
"ext": "urn:oasis:names:specification:ubl:schema:xsd:CommonExtensionComponents-2",
}
CATALOG_QUERIES = ("Kerndaten", "Kerndatenquelle", "KDQ BVergG")
def local(tag: str) -> str:
return tag.rsplit("}", 1)[-1]
def text(node: ET.Element | None, path: str) -> str | None:
if node is None:
return None
found = node.find(path, NS)
return found.text.strip() if found is not None and found.text else None
def parse_kerndaten(root: ET.Element) -> dict[str, Any] | None:
"""Austrian core-data format (BVergG 2018, schema brz.gv.at/eproc/kd): KD_8_2_* = awarded contracts.
Still used by many publishers (e-shops, below-threshold awards). Contractor NATIONALID is usually the
company register number ("183286p"), occasionally the VAT id.
"""
if not local(root.tag).startswith("KD_8_2"):
return None
def t(node: ET.Element | None, path: str) -> str | None:
found = node.find(path) if node is not None else None
return found.text.strip() if found is not None and found.text else None
buyer = root.find("{*}CONTRACTING_BODY/{*}ADDRESS_CONTRACTING_BODY")
title = " ".join(p.text.strip() for p in root.iterfind("{*}OBJECT_CONTRACT/{*}TITLE/{*}P") if p.text)
cpv = root.find("{*}OBJECT_CONTRACT/{*}CPV_MAIN/{*}CPV_CODE")
contracts = []
for awarded in root.iterfind(".//{*}AWARD_CONTRACT/{*}AWARDED_CONTRACT"):
contracts.append({
"id": None,
"title": None,
"awarded": t(awarded, "{*}DATE_CONCLUSION_CONTRACT"),
"amount": t(awarded, "{*}VAL_TOTAL"),
"winners": [{"name": t(c, "{*}ADDRESS_CONTRACTOR/{*}OFFICIALNAME"),
"company_id": t(c, "{*}ADDRESS_CONTRACTOR/{*}NATIONALID")}
for c in awarded.iterfind("{*}CONTRACTOR")],
})
return {
"notice_id": t(root, "{*}EXTENSION[@KEY='Referenz']") or t(root, "{*}OBJECT_CONTRACT/{*}REFERENCE_NUMBER"),
"issued": None,
"title": title or None,
"cpv": cpv.get("CODE") if cpv is not None else None,
"total": None,
"buyers": [{"name": t(buyer, "{*}OFFICIALNAME"), "company_id": None}] if buyer is not None else [],
"contracts": contracts,
}
def parse_award_notice(xml: bytes) -> dict[str, Any] | None:
"""Extract buyer, winners, amounts, title, CPV and dates from an award notice: eForms
ContractAwardNotice, or the Austrian core-data format (parse_kerndaten)."""
root = ET.fromstring(xml)
if local(root.tag).startswith("KD_"):
return parse_kerndaten(root)
if local(root.tag) != "ContractAwardNotice":
return None
orgs: dict[str, dict[str, Any]] = {}
for org in root.iterfind(".//efac:Organizations/efac:Organization/efac:Company", NS):
org_id = text(org, "cac:PartyIdentification/cbc:ID")
if org_id:
orgs[org_id] = {"name": text(org, "cac:PartyName/cbc:Name"),
"company_id": text(org, "cac:PartyLegalEntity/cbc:CompanyID"),
"city": text(org, "cac:PostalAddress/cbc:CityName")}
buyer_ids = [e.text for e in root.iterfind("cac:ContractingParty/cac:Party/cac:PartyIdentification/cbc:ID", NS)
if e.text]
result = root.find(".//efac:NoticeResult", NS)
tender_amounts = {text(t, "cbc:ID"): text(t, "cac:LegalMonetaryTotal/cbc:PayableAmount")
for t in (result.iterfind("efac:LotTender", NS) if result is not None else [])}
tendering_parties = {text(tp, "cbc:ID"): [e.text for e in tp.iterfind("efac:Tenderer/cbc:ID", NS) if e.text]
for tp in (result.iterfind("efac:TenderingParty", NS) if result is not None else [])}
lot_tender_party = {text(t, "cbc:ID"): text(t, "efac:TenderingParty/cbc:ID")
for t in (result.iterfind("efac:LotTender", NS) if result is not None else [])}
contracts = []
for contract in (result.iterfind("efac:SettledContract", NS) if result is not None else []):
tender_id = text(contract, "efac:LotTender/cbc:ID")
winners = tendering_parties.get(lot_tender_party.get(tender_id), [])
contracts.append({
"id": text(contract, "cbc:ID"),
"title": text(contract, "cbc:Title"),
"awarded": text(contract, "cbc:AwardDate") or text(contract, "cbc:IssueDate"),
"amount": tender_amounts.get(tender_id),
"winners": [orgs.get(w, {"name": None}) | {"ref": w} for w in winners],
})
project_title = text(root, "cac:ProcurementProject/cbc:Name")
return {
"notice_id": text(root, "cbc:ID"),
"issued": text(root, "cbc:IssueDate"),
"title": project_title,
"cpv": text(root, "cac:ProcurementProject/cac:MainCommodityClassification/cbc:ItemClassificationCode"),
"total": text(root, ".//efac:NoticeResult/cbc:TotalAmount"),
"buyers": [orgs.get(b, {"name": None}) | {"ref": b} for b in buyer_ids],
"contracts": contracts,
}
def org_ref(org: dict[str, Any], kind: str) -> OrgRef | None:
if not org.get("name"):
return None
company_id = (org.get("company_id") or "").replace(" ", "")
ids = {}
if company_id.upper().startswith("ATU"):
ids["uid"] = company_id.upper()
elif fn := firmenbuch_number(company_id):
ids["firmenbuch"] = fn
return OrgRef(name=org["name"], kind=kind, ids=ids)
def as_date(value: str | None) -> date | None:
if not value:
return None
try:
return date.fromisoformat(value[:10])
except ValueError:
return None
@register
class PublicContracts(Adapter):
spec = SPEC
name = "vergabe.awards"
description = "Contract awards of Austrian public bodies (eForms and BVergG core data via data.gv.at)"
schedule = "0 2 * * *"
queue = "bulk"
parser_version = 2
def start(self, ctx: RunContext) -> Iterator[Request]:
for query in CATALOG_QUERIES:
yield Request(url=HUB, params={"q": query, "limit": 100, "page": 0}, kind="catalog", conditional=False)
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
kind = response.request.kind
if kind == "catalog":
result = response.json().get("result") or {}
for dataset in result.get("results") or []:
for dist in dataset.get("distributions") or []:
url = (dist.get("access_url") or dist.get("download_url") or [None])
url = url[0] if isinstance(url, list) else url
if url and url.startswith("http") and "data.gv.at/katalog" not in url:
if ctx.params.get("only_url") and ctx.params["only_url"] not in url:
continue # targeted runs: -p only_url=bbg.gv.at
title = (dataset.get("title") or {}).get("de") or ""
yield Request(url=url, kind="kdq", meta={"publisher": title.split("von", 1)[-1].strip(" '")})
if result.get("count", 0) > (response.request.params["page"] + 1) * 100:
yield Request(url=HUB, params={**response.request.params, "page": response.request.params["page"] + 1},
kind="catalog", conditional=False)
elif kind == "kdq":
yield from self.parse_kdq(ctx, response)
elif kind == "notice":
yield from self.parse_notice(ctx, response)
def parse_kdq(self, ctx: RunContext, response: Response) -> Iterator[Request]:
try:
root = ET.fromstring(response.body)
except ET.ParseError:
ctx.stats["kdq_not_xml"] += 1
return
state_key = f"kdq:{response.request.url}"
since = ctx.params.get("since") or ctx.state.get(state_key) or get_settings().procurement_since
limit = int(ctx.params.get("max_notices_per_source", 3000))
items = [(item.get("lastmod") or "", item.findtext("{*}url") or item.findtext("url"))
for item in root.iter() if local(item.tag) == "item"]
# Oldest first so an interrupted backfill resumes where it stopped (cursor = newest lastmod handled).
items = sorted(i for i in items if i[1] and i[0] > since)[:limit]
for lastmod, url in items:
# lastmod in meta (not in the URL) + conditional requests: unchanged notices cost a 304 at most.
# The cursor advances only when a notice has been parsed (see advance_cursor), so an interrupted
# run resumes with the first notice it did not get to.
yield Request(url=url.strip(), kind="notice", meta={"publisher": response.meta.get("publisher"),
"lastmod": lastmod, "state_key": state_key})
@staticmethod
def advance_cursor(ctx: RunContext, response: Response) -> None:
key, lastmod = response.meta.get("state_key"), response.meta.get("lastmod")
if key and lastmod and lastmod > (ctx.state.get(key) or ""):
ctx.state.set(key, lastmod)
def parse_notice(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
self.advance_cursor(ctx, response) # notices arrive oldest-first per publisher
try:
notice = parse_award_notice(response.body)
except ET.ParseError:
ctx.stats["notice_not_xml"] += 1
return
if notice is None:
ctx.stats["not_an_award"] += 1
return
buyer = next((org_ref(b, "public_body") for b in notice["buyers"] if b.get("name")), None)
if buyer is None:
return
for contract in notice["contracts"]:
for winner in contract["winners"]:
supplier = org_ref(winner, "company")
if supplier is None:
continue
amount = contract["amount"] or (notice["total"] if len(notice["contracts"]) == 1 else None)
awarded = as_date(contract["awarded"]) or as_date(notice["issued"])
title = contract["title"] or notice["title"] or "Auftrag"
yield Claim(
claim_type="money_flow", org=buyer, counterpart_org=supplier, occurred_at=awarded,
summary_de=f"Auftrag „{title}“ an {supplier.name}" + (f" – {format_eur_de(amount)} €" if amount else ""),
summary_en=f"Contract \"{title}\" awarded to {supplier.name}" + (f" – EUR {amount}" if amount else ""),
data={"notice_id": notice["notice_id"], "cpv": notice["cpv"], "publisher": response.meta.get("publisher")},
evidence=[Evidence(url=response.request.url, doc_type="register_entry", title=f"Vergabe: {title}",
published_at=awarded, quote=f"{buyer.name} → {supplier.name}: {title}")],
facet=Money(kind="contract", amount=amount, payer=buyer, payer_name=buyer.name, payee=supplier,
payee_name=supplier.name, paid_on=awarded,
reference=f"{notice['notice_id']}/{contract['id']}", category=notice["cpv"]),
)
backend/politrack/sources/rechnungshof.py
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@@ -0,0 +1,551 @@
"""Rechnungshof (Court of Audit): published party donations and parties' annual financial reports.
Official works (§7 UrhG); no robots restrictions.
Donations: HTML pages + one CSV per year/election. The CSVs come in UTF-8, Windows-1252 and Mac Roman,
with or without title rows, and one older file without header (date; amount; donor; address; party).
Annual reports (Rechenschaftsberichte, 2023+ as XLSX): income statement per organisation level
(public funding "Fördermittel", membership fees, donations, sponsoring, ad income...) and named lists:
donations > EUR 500, sponsors, advertisers in party media, party-owned companies, loans, affiliated
organisations.
Data minimisation: donor addresses and postcodes are never mapped; private donors are stored as names
only (no person entity is created); company donors become organisation entities (contract/donor correlation).
"""
from __future__ import annotations
import csv
import io
import re
from collections.abc import Iterator
from datetime import date, datetime
from decimal import Decimal, InvalidOperation
from typing import Any
from urllib.parse import urljoin
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Document, Evidence, Money, OrgRef
from politrack.text import firmenbuch_number, format_eur_de, normalize, normalize_org_name
BASE = "https://www.rechnungshof.gv.at"
SPEC = SourceSpec(
slug="rechnungshof",
name="Rechnungshof Österreich",
kind="official",
homepage=BASE,
license="Amtliches Werk (§7 UrhG)",
access="scrape",
trust=95,
min_interval=2.0,
tos_notes="Party donation lists and audited annual party reports. Official works; no robots restrictions.",
)
DONATION_INDEX = [
"/rh/home/was-wir-tun/was-wir-tun_5/Kontrolle_der_Parteien.html",
"/rh/home/was-wir-tun/was-wir-tun_5/was-wir-tun_5/Parteispenden/Parteispenden_2024.html",
]
REPORTS_INDEX = "/rh/home/was-wir-tun/was-wir-tun_5/was-wir-tun_6/Kontrolle_der_Parteien.html"
SECTION_PREFIX = "/rh/home/was-wir-tun/"
DONATION_LINK = re.compile(r"spende", re.IGNORECASE)
PARTY_PREFIXES = {"ovp": "oevp", "osterreichische volkspartei": "oevp", "die neue volkspartei": "oevp",
"spo": "spoe", "sozialdemokratische": "spoe", "fpo": "fpoe", "freiheitliche": "fpoe",
"die freiheitliche": "fpoe", "neos": "neos", "die grunen": "gruene", "grune": "gruene",
"kpo": "kpoe", "kommunistische": "kpoe", "bier": "bier", "die bierpartei": "bier", "mfg": "mfg"}
COMPANY = re.compile(r"\b(GmbH|AG|KG|OG|e\.U\.|GesmbH|Ges\.m\.b\.H|Gesellschaft|Verein|Stiftung|Bank|Holding|"
r"Genossenschaft|Verband|Kammer|Sparkasse|Versicherung|Privatstiftung)\b", re.IGNORECASE)
# -- shared helpers -----------------------------------------------------------------------
def decode(raw: bytes) -> str:
"""UTF-8, Windows-1252 or Mac Roman: pick the decoding that yields real umlauts."""
try:
return raw.decode("utf-8-sig")
except UnicodeDecodeError:
pass
candidates = [raw.decode(enc, errors="replace") for enc in ("cp1252", "mac_roman")]
return max(candidates, key=lambda t: sum(t.count(c) for c in "äöüÄÖÜß"))
def parse_amount(value: Any) -> Decimal | None:
if isinstance(value, (int, float, Decimal)):
return Decimal(str(value)).quantize(Decimal("0.01"))
value = (value or "").strip().replace(".", "").replace(",", ".").replace("€", "").strip()
try:
return Decimal(value)
except InvalidOperation:
return None
def parse_de_date(value: str) -> date | None:
for fmt in ("%d.%m.%Y", "%d.%m.%y"):
try:
return datetime.strptime((value or "").strip(), fmt).date()
except ValueError:
continue
return None
def format_de(amount: Decimal) -> str:
return format_eur_de(amount)
POSTAL_ADDRESS = re.compile(r"^\d{4}\s")
def clean_name(value: str) -> str:
"""Guard against malformed cells ('"2522 Ort Straße 4;Partei"') - an address never ends up in a name."""
value = (value or "").split(";")[-1].strip()
return "" if POSTAL_ADDRESS.match(value) else value
def party_ref(label: str) -> OrgRef | None:
if not label:
return None
norm = normalize(label)
for prefix, slug in PARTY_PREFIXES.items():
if norm.startswith(prefix):
return OrgRef(slug=slug)
return OrgRef(name=label.strip(), kind="party")
def donor_ref(name: str) -> OrgRef | None:
"""Organisations become entities (for correlations); private persons stay a plain name."""
return OrgRef(name=name, kind="company") if COMPANY.search(name) else None
def column(header: list[str], *needles: str) -> int | None:
for i, h in enumerate(header):
h = normalize(h)
if any(n in h for n in needles):
return i
return None
DATE_CELL = re.compile(r"^\d{1,2}\.\d{1,2}\.\d{2,4}$")
AMOUNT_CELL = re.compile(r"^[\d.]+(,\d{1,2})?$")
def find_columns(rows: list[list[str]]) -> tuple[int, dict[str, int | None]]:
"""Locate the header row (older files have a title row above it) and map the columns we use.
Address/postcode columns are never mapped."""
for i, row in enumerate(rows[:5]):
norm = [normalize(c) for c in row]
if any("betrag" in c for c in norm) and any("name" in c or "spender" in c for c in norm):
return i + 1, {
"party": column(row, "partei"),
"date": column(row, "eingang") if column(row, "eingang") is not None else column(row, "datum"),
"donor": column(row, "name", "spender"),
"amount": column(row, "betrag"),
"currency": column(row, "wahrung", "waehrung"),
"recipient": column(row, "empfang", "empfaeng"),
"note": column(row, "anmerk"),
}
first = next((r for r in rows if any(c.strip() for c in r)), [])
date_i = next((i for i, c in enumerate(first) if DATE_CELL.match(c.strip())), None)
amount_i = next((i for i, c in enumerate(first) if AMOUNT_CELL.match(c.strip()) and i != date_i), None)
if date_i is None or amount_i is None:
return 0, {}
return 0, {"party": len(first) - 1, "date": date_i, "donor": amount_i + 1, "amount": amount_i,
"currency": None, "recipient": len(first) - 1, "note": None}
def read_rows(text: str) -> tuple[dict[str, int | None], list[list[str]]]:
"""Parse the semicolon CSV; repairs rows broken by stray line breaks."""
reader = list(csv.reader(io.StringIO(text), delimiter=";"))
if not reader:
return {}, []
start, idx = find_columns(reader)
if not idx:
return {}, []
width = max(i for i in idx.values() if i is not None) + 1
rows, pending = [], []
for row in reader[start:]:
if pending:
pending[-1] += " " + (row[0] if row else "")
pending.extend(row[1:])
else:
pending = list(row)
if len(pending) >= width - 1:
rows.append(pending)
pending = []
return idx, [r for r in rows if any(c.strip() for c in r)]
# -- donations ----------------------------------------------------------------------------
@register
class RechnungshofDonations(Adapter):
spec = SPEC
name = "rechnungshof.donations"
description = "Published party donations (CSV per year / election)"
schedule = "30 5 * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
for path in DONATION_INDEX:
yield Request(url=urljoin(BASE, path), kind="page", meta={"depth": 0})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
if response.request.kind == "page":
depth = response.meta.get("depth", 0)
for a in response.soup.find_all("a", href=True):
href = urljoin(response.url, a["href"])
path = href.removeprefix(BASE)
if href.lower().endswith(".csv") and DONATION_LINK.search(href):
yield Request(url=href, kind="csv", meta={"page": response.url})
elif (depth < 2 and path.startswith(SECTION_PREFIX) and path.endswith(".html")
and DONATION_LINK.search(path)):
yield Request(url=href, kind="page", meta={"depth": depth + 1})
return
yield from self.parse_csv(ctx, response)
def parse_csv(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
idx, rows = read_rows(decode(response.body))
if idx.get("donor") is None or idx.get("amount") is None:
ctx.stats["unparsed_files"] += 1
return
def cell(row: list[str], key: str) -> str:
i = idx[key]
value = row[i].strip() if i is not None and i < len(row) else ""
return clean_name(value) if key in ("party", "donor", "recipient") else value
for n, row in enumerate(rows):
party_label, donor, recipient = cell(row, "party"), cell(row, "donor"), cell(row, "recipient")
amount, received = parse_amount(cell(row, "amount")), parse_de_date(cell(row, "date"))
if not donor or amount is None:
continue
currency = cell(row, "currency") or "EUR"
currency = "EUR" if currency.lower().startswith("eur") else currency
party = party_ref(party_label) or party_ref(recipient)
line = " | ".join(c for c in (cell(row, "date"), party_label, donor, cell(row, "amount"), currency,
recipient) if c)
yield Claim(
claim_type="donation", org=party, occurred_at=received,
summary_de=f"{recipient or party_label} erhielt {format_de(amount)} {currency} von {donor}",
summary_en=f"{recipient or party_label} received {currency} {amount:,.2f} from {donor}",
data={"party_label": party_label, "recipient": recipient, "note": cell(row, "note")},
evidence=[
Evidence(url=response.meta["page"], doc_type="register_entry",
title="Rechnungshof: veröffentlichte Parteispenden", quote=line, locator=f"row:{line}"),
Evidence(url=response.request.url, doc_type="register_entry",
title="Rechnungshof: Parteispenden (CSV)", locator=f"row:{n + 1}"),
],
topics=("Transparenz und Korruption",),
facet=Money(kind="donation", amount=amount, currency=currency, payer=donor_ref(donor), payer_name=donor,
payee=party, payee_name=recipient or party_label, paid_on=received),
)
# -- annual party reports -------------------------------------------------------------------
# Lines of the income statement (§ 5 Abs. 4/5 PartG), matched on the normalised label. Order matters:
# the first matching pattern wins ("Inserate und Werbeeinschaltungen" is an expense, "Inserate" income).
FINANCE_LINES = [
(re.compile(r"^(gesamt)?summe (der )?ertrage"), "total_income"),
(re.compile(r"^(gesamt)?summe (der )?aufwendungen"), "total_expenses"),
(re.compile(r"^fordermittel"), "public_funding"),
(re.compile(r"^mitgliedsbeitrage"), "membership_fees"),
(re.compile(r"^beitrage der .*angehorenden mandatare"), "mandate_holder_levies"),
(re.compile(r"^geldspenden"), "donations"),
(re.compile(r"^sponsoring"), "sponsoring"),
(re.compile(r"^inserate und werbeeinschaltungen"), "ad_spending"),
(re.compile(r"^inserate\b"), "ad_income"),
(re.compile(r"^ertrage aus nahestehenden organisationen"), "from_affiliates"),
(re.compile(r"^personalaufwand"), "staff_costs"),
(re.compile(r"^au(ss|ß)enwerbung"), "outdoor_advertising"),
(re.compile(r"^direktwerbung"), "direct_marketing"),
]
def finance_lines(rows: list[list[Any]], year: str) -> dict[str, Decimal]:
"""Income/expense lines of one sheet, summed over all blocks in it.
Some parties stack one block per organisation in a sheet (e.g. every state below the other); each block
has its own header row with the years. The value is taken from the reporting-year column of the latest
header (columns are "2024, 2023" in some files and "2023, 2024" in others); without a header, the first
number after the label.
"""
total: dict[str, Decimal] = {}
block: dict[str, Decimal] = {}
year_col: int | None = None
for row in rows:
years = [i for i, c in enumerate(row) if str(c).strip() in (year, f"{year}.0")]
if years and sum(1 for c in row if re.fullmatch(r"(19|20)\d\d(\.0)?", str(c).strip() if c is not None else "")) >= 1:
year_col = years[0]
for i, cell in enumerate(row):
if not isinstance(cell, str) or len(cell.strip()) < 4:
continue
label = re.sub(r"\s+", " ", normalize(cell))
key = next((k for pattern, k in FINANCE_LINES if pattern.search(label)), None)
if key:
value = number(row[year_col]) if year_col is not None and year_col > i and year_col < len(row) else None
if value is None:
value = next((number(c) for c in row[i + 1:] if number(c) is not None), None)
if value is not None:
if key in block: # the same line again: a new block (next organisation) starts
for k, v in block.items():
total[k] = total.get(k, Decimal(0)) + v
block = {}
block[key] = value
break # only the first text cell of a row is its label
for k, v in block.items():
total[k] = total.get(k, Decimal(0)) + v
return total
def sum_levels(levels: dict[str, dict[str, Decimal]]) -> tuple[dict[str, Decimal], dict[str, dict[str, Decimal]]]:
"""Sum all organisation levels (federal, states, capitals, districts ...) -> (totals, levels used).
Overview sheets that add up other levels are left out: titles listing several levels ("BO&LOs&LH-St.&NTG")
and sheets whose public funding equals the sum of all the others. Totals (income, expenses) are only
reported when every level states them - a partial sum would be misleading.
"""
levels = {t: v for t, v in levels.items() if "&" not in t}
funding = {title: v.get("public_funding", Decimal(0)) for title, v in levels.items()}
for title, value in funding.items():
others = sum(v for t, v in funding.items() if t != title)
if value > 0 and len(funding) > 2 and abs(value - others) <= Decimal(1):
levels = {t: v for t, v in levels.items() if t != title}
break
totals: dict[str, Decimal] = {}
for values in levels.values():
for key, value in values.items():
totals[key] = totals.get(key, Decimal(0)) + value
for key in ("total_income", "total_expenses"):
if key in totals and not all(key in v for v in levels.values()):
del totals[key]
return totals, levels
AFFILIATE_SKIP = re.compile(
r"^(anlage|liste|ertrag|gem\.|gemass|\(?§|name$|zvr|reg\.? ?nr|organisationseinheit|nahestehende|"
r"bundesorganisation|landesorganisation|zweigvereine:?$|[a-z]\)|[a-z]\. anlage|keine|leermeldung|rechtsform|zweck)")
ZVR = re.compile(r"\(?ZVR(?:-Zahl)?:?\s*(\d{6,10})\)?", re.IGNORECASE)
def affiliate_from_row(row: list[Any]) -> tuple[str, str | None] | None:
"""Name (and association-register number) of an affiliated organisation from one row of the list."""
cells = [str(c).strip() for c in row if c is not None and str(c).strip()]
number_cell = next((c for c in cells if re.fullmatch(r"\d{6,10}", c)), None)
for cell in cells:
if re.fullmatch(r"[\d\s./-]+", cell) or cell.lower() in ("partei", "verein", "gmbh", "stiftung"):
continue
if AFFILIATE_SKIP.search(normalize(cell)) or len(cell) <= 3:
return None
zvr = ZVR.search(cell)
name = ZVR.sub("", cell)
name = re.sub(r'"?,?\s*Kurzbezeichnung:?\s*"?([^"]+)"?\s*$', r" (\1)", name).strip(' "„“,;-')
return (name, (zvr.group(1) if zvr else number_cell)) if len(name) > 3 else None
return None
def transliterate(text: str) -> str:
"""'Kaernten Koefer Gruenen' -> 'Kärnten Köfer Grünen' (file names; not after vowels: 'Neue', 'Steuer')."""
for plain, umlaut in (("ae", "ä"), ("oe", "ö"), ("ue", "ü")):
text = re.sub(rf"(?<![aeiouqAEIOUQ]){plain}", umlaut, text)
text = re.sub(rf"(?<![aeiouqAEIOUQ]){plain.capitalize()}", umlaut.upper(), text)
return text
def report_party_name(sheets: dict[str, list[list[Any]]], url: str) -> str:
"""Cover sheet, else the 'Territoriale Gliederung ... : <party>' line, else the file name."""
cover = [str(c).strip(" -–") for row in sheets.get("Deckblatt", []) for c in row if c and str(c).strip(" -–")]
names = [c for c in cover if len(c) > 2 and not re.search(
r"(?i)rechenschaftsbericht|bericht|kalenderjahr|jahr\b|partg|gemäß|name der|politische partei$|^\d", c)]
if names:
return names[0]
for rows in sheets.values():
for row in rows:
for cell in row:
if isinstance(cell, str) and (m := re.search(r"Territoriale Gliederung[^:]*:\s*(.+)$", cell.strip())):
return m.group(1).strip()
stem = url.rsplit("/", 1)[-1].rsplit(".", 1)[0]
stem = re.sub(r"(?i)^Rechenschaftsbericht[_-]?\d{4}[_-]?|[_-](gepr(ue|ü)ft|Anlagen|Verm(oe|ö)gensaufstellung)$", "", stem)
return transliterate(re.sub(r"[_-]+", " ", stem)).strip()
def sheets_titled(sheets: dict[str, list[list[Any]]], *keywords: str) -> list[list[Any]]:
"""All rows of every sheet whose (normalised) title contains one of the keywords."""
return [row for title, rows in sheets.items() if any(k in normalize(title) for k in keywords) for row in rows]
def number(value: Any) -> Decimal | None:
if value is None or isinstance(value, bool):
return None
if isinstance(value, (int, float, Decimal)):
return Decimal(str(value)).quantize(Decimal("0.01"))
text = str(value).strip()
if re.fullmatch(r"-?\d+\.\d{1,2}", text): # '301561.19' - plain decimal point (some exports)
return Decimal(text).quantize(Decimal("0.01"))
return parse_amount(text) if re.fullmatch(r"[\d.,\s€-]+", text or "x") else None
def sheet_lists(rows: list[list[Any]], header_needles: tuple[str, ...]) -> Iterator[dict[str, Any]]:
"""Yield dict rows of every table in a sheet whose header contains all needles (case-insensitive)."""
header: list[str] | None = None
for row in rows:
cells = ["" if c is None else str(c).strip() for c in row]
lowered = [normalize(c) for c in cells]
if all(any(n in c for c in lowered) for n in header_needles):
header = lowered
continue
if header is None or not any(cells):
continue
if any("leermeldung" in c or "keine" in c for c in lowered[:2]):
header = None
continue
record = {header[i]: row[i] for i in range(min(len(header), len(row))) if header[i]}
amount = next((number(row[i]) for i in range(len(row) - 1, -1, -1) if number(row[i]) is not None), None)
if amount is not None and any(isinstance(v, str) and v.strip() for v in record.values()):
record["__amount"] = amount
yield record
def pick(record: dict[str, Any], *needles: str) -> str:
for key, value in record.items():
if any(n in key for n in needles) and isinstance(value, str) and value.strip():
return value.strip()
return ""
@register
class RechnungshofPartyReports(Adapter):
spec = SPEC
name = "rechnungshof.party_reports"
description = "Parties' annual financial reports: funding, income, sponsors, advertisers, companies, loans"
schedule = "0 6 * * 1"
parser_version = 3
def start(self, ctx: RunContext) -> Iterator[Request]:
yield Request(url=f"{BASE}{REPORTS_INDEX}", kind="index")
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
if response.request.kind == "index":
for a in response.soup.find_all("a", href=True):
href = urljoin(response.url, a["href"])
if re.search(r"Rechenschaftsbericht[_-]?\d{4}.*\.xlsx$", href, re.I):
yield Request(url=href, kind="xlsx")
elif re.search(r"(Ergebnis[_-]der[_-]Pruefung|Rechenschaftsbericht).*\.pdf$", href, re.I):
yield Document(Evidence(url=href, doc_type="pdf", title=a.get_text(" ", strip=True) or href.rsplit("/", 1)[-1],
meta={"kind": "party_report_pdf"}))
return
yield from self.parse_report(ctx, response)
def parse_report(self, ctx: RunContext, response: Response) -> Iterator[Any]:
import openpyxl
wb = openpyxl.load_workbook(io.BytesIO(response.body), data_only=True, read_only=True)
sheets = {ws.title.strip(): [list(r) for r in ws.iter_rows(values_only=True)] for ws in wb.worksheets}
url = response.request.url
year_match = re.search(r"Rechenschaftsbericht[_-]?(\d{4})", url) or re.search(r"(\d{4})", url)
year = year_match.group(1) if year_match else "?"
audited = bool(re.search(r"gepr(ue|ü)ft", url, re.IGNORECASE))
party_name = report_party_name(sheets, url)
party = party_ref(party_name)
version_de = "vom Rechnungshof geprüft" if audited else "eingereicht"
evidence = [Evidence(url=url, doc_type="register_entry",
title=f"Rechenschaftsbericht {year} ({version_de}): {party_name}")]
# Income statement per organisation level (federal, states, capitals, districts...), then summed.
levels = {title: lines for title, rows in sheets.items()
if (lines := finance_lines(rows, year)) and ("public_funding" in lines or "total_income" in lines)}
totals, levels = sum_levels(levels)
if totals:
income = totals.get("total_income")
yield Claim(
claim_type="party_finance", org=party,
key=("rh-report", normalize_org_name(party_name), year, "audited" if audited else "submitted"),
valid_from=date(int(year), 1, 1) if year.isdigit() else None,
valid_to=date(int(year), 12, 31) if year.isdigit() else None,
summary_de=f"Rechenschaftsbericht {year} ({version_de}): "
+ (f"Erträge {format_de(income)} €, " if income is not None else "")
+ f"davon Fördermittel {format_de(totals.get('public_funding', Decimal(0)))} €"
+ " (Summe aller ausgewiesenen Gliederungen)",
summary_en=f"Annual report {year} ({'audited' if audited else 'submitted'}): "
+ (f"income EUR {income:,.2f}, " if income is not None else "")
+ f"public funding EUR {totals.get('public_funding', 0):,.2f}",
data={"year": year, "audited": audited, **{k: str(v) for k, v in totals.items()},
"levels": {t: {k: str(v) for k, v in lines.items()} for t, lines in levels.items()}},
evidence=evidence, topics=("Transparenz und Korruption",),
)
if totals.get("public_funding"):
yield Claim(
claim_type="money_flow", org=party, valid_from=date(int(year), 1, 1) if year.isdigit() else None,
summary_de=f"{party_name} erhielt {year} öffentliche Fördermittel von {format_de(totals['public_funding'])} €",
summary_en=f"{party_name} received EUR {totals['public_funding']:,.2f} in public funding in {year}",
evidence=evidence, topics=("Transparenz und Korruption",),
facet=Money(kind="party_funding", amount=totals["public_funding"], payee=party,
payee_name=party_name, payer_name="Öffentliche Parteienförderung", period=year),
)
else:
ctx.stats["reports_without_income_statement"] += 1
def money_claims(rows: list[list[Any]], needles: tuple[str, ...], kind: str, who_keys: tuple[str, ...],
label_de: str) -> Iterator[Claim]:
for rec in sheet_lists(rows, needles):
who = clean_name(pick(rec, *who_keys))
if not who:
continue
recipient = pick(rec, "empfanger", "empfager")
medium = pick(rec, "medium")
amount = rec["__amount"]
yield Claim(
claim_type="donation" if kind == "donation" else "money_flow", org=party,
valid_from=date(int(year), 1, 1) if year.isdigit() else None,
summary_de=f"{label_de}: {who} → {recipient or party_name}"
+ (f" ({medium})" if medium else "") + f", {format_de(amount)} € ({year})",
data={"year": year, "recipient": recipient, "medium": medium},
evidence=[Evidence(url=url, doc_type="register_entry", title=evidence[0].title,
quote=f"{who} | {recipient} | {medium} | {amount}", locator=f"{kind}:{who}:{amount}")],
topics=("Transparenz und Korruption",),
facet=Money(kind=kind, amount=amount, payer=donor_ref(who), payer_name=who, payee=party,
payee_name=recipient or party_name, period=year, category=medium or None),
)
# List sheets are named differently by every party ("Spenden", "Spendenliste (§ 6 PartG)", "Spenden,
# Sponsoring, Inserate" ...): select by title keyword, find the tables by their header.
yield from money_claims(sheets_titled(sheets, "spende"), ("empfanger", "name", "plz"), "donation", ("name",),
"Spende laut Rechenschaftsbericht")
yield from money_claims(sheets_titled(sheets, "sponsor"), ("sponsor",), "sponsorship", ("sponsor",), "Sponsoring")
yield from money_claims(sheets_titled(sheets, "inserat"), ("inserent",), "party_ad", ("inserent",),
"Inserat in Parteimedium")
for rec in sheet_lists(sheets_titled(sheets, "kredit", "darlehen", "verbindlichkeit"), ("kreditgeber",)):
lender = clean_name(pick(rec, "kreditgeber"))
if lender:
yield Claim(
claim_type="money_flow", org=party,
summary_de=f"Kredit/Darlehen von {lender} an {party_name}: {format_de(rec['__amount'])} € ({year})",
evidence=evidence, facet=Money(kind="loan", amount=rec["__amount"], payer=OrgRef(name=lender, kind="company"),
payer_name=lender, payee=party, payee_name=party_name, period=year),
)
for row in sheets_titled(sheets, "beteiligung"):
cells = [str(c).strip() for c in row if c is not None and str(c).strip()]
fn = next((f for f in (firmenbuch_number(c) for c in cells[1:3]) if f), None)
if fn:
company = re.sub(r"\s*\d\)$", "", cells[0]) # footnote markers: "Werbeagentur 1)"
yield Claim(
claim_type="ownership", org=party,
counterpart_org=OrgRef(name=company, kind="company", ids={"firmenbuch": fn}),
key=("rh-ownership", normalize_org_name(party_name), year, fn),
summary_de=f"{party_name} hält eine Beteiligung an {company} (FN {fn}) – laut Rechenschaftsbericht {year}",
evidence=evidence, topics=("Transparenz und Korruption",),
)
for title, rows in sheets.items():
# list of affiliated organisations (not the sheet of income received from them)
if "nahestehend" not in normalize(title) or "ertr" in normalize(title):
continue
for row in rows:
affiliate = affiliate_from_row(row)
if affiliate:
name, zvr = affiliate
yield Claim(
claim_type="affiliation", org=party,
counterpart_org=OrgRef(name=name, kind="ngo", ids={"zvr": zvr} if zvr else {}),
key=("rh-affiliate", normalize_org_name(party_name), year, normalize_org_name(name)),
summary_de=f"Nahestehende Organisation von {party_name}: {name} ({year})",
evidence=evidence,
)
ctx.stats["reports"] += 1
backend/politrack/sources/rtr.py
+106
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"""RTR / KommAustria media transparency (MedKF-TG): advertising and media subsidies paid by public bodies.
Open data API (no usage restrictions, attribution): https://data.rtr.at/api/v1/tables/<table>.json
* mt-bekanntgabe2024 (half-yearly since 2024): payer, medium, media owner, campaign, amount, ad sujet link
* mt-bekanntgabe (quarterly until 2023): payer, medium/owner, amount
Each row -> money_flow (kind government_ad for advertising, subsidy for media funding) from the public body
(ministry, state government, municipality, public company...) to the media owner.
"""
from __future__ import annotations
from collections.abc import Iterator
from datetime import date
from typing import Any
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, Money, OrgRef
from politrack.text import format_eur_de
API = "https://data.rtr.at/api/v1/tables"
PAGE_SIZE = 5000
SPEC = SourceSpec(
slug="rtr-medientransparenz", name="RTR/KommAustria Medientransparenz", kind="official",
homepage="https://www.rtr.at/medien/was_wir_tun/medientransparenz/",
license="Amtliches Werk (§7 UrhG); attribution \"KommAustria – data.rtr.at\"", access="api",
trust=95, min_interval=2.0,
# data.rtr.at/robots.txt disallows everything for crawlers, but RTR documents this API as "der Endpunkt zur
# automatischen Abfrage der Daten" (rtr.at/rtr/service/opendata/OD_Schnittstellenbeschreibung.de.html).
robots_exempt=(API + "/",),
tos_notes="Government advertising and media funding reported under MedKF-TG. The REST API is documented by "
"RTR for automated queries (OD_Schnittstellenbeschreibung); robots.txt on data.rtr.at blocks "
"crawlers only. Terms (OD_Nutzungsbedingungen): free works under §7 UrhG, attribution requested, "
"no use for defamatory/discriminatory purposes.",
)
KIND = {2: "government_ad", 4: "subsidy"}
def half_years(since_year: int) -> list[str]:
today = date.today()
return [f"{y}{h}" for y in range(since_year, today.year + 1) for h in (1, 2)
if (y, h) <= (today.year, 1 if today.month <= 6 else 2)]
def quarters(since_year: int, until_year: int = 2023) -> list[str]:
return [f"{y}{q}" for y in range(since_year, until_year + 1) for q in (1, 2, 3, 4)]
@register
class MediaTransparency(Adapter):
spec = SPEC
name = "rtr.medientransparenz"
description = "Government advertising and media subsidies per public body and media owner"
schedule = "0 4 * * 2"
queue = "bulk"
def start(self, ctx: RunContext) -> Iterator[Request]:
for period in half_years(int(ctx.params.get("since_year", 2024))):
yield Request(url=f"{API}/mt-bekanntgabe2024.json", params={"halbjahr": period, "size": PAGE_SIZE, "page": 0},
kind="halbjahr", meta={"period": period})
for period in quarters(int(ctx.params.get("legacy_since_year", 2021))):
yield Request(url=f"{API}/mt-bekanntgabe.json", params={"quartal": period, "size": PAGE_SIZE, "page": 0},
kind="quartal", meta={"period": period})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
rows = response.json().get("data") or []
params = response.request.params or {}
if len(rows) >= PAGE_SIZE:
yield Request(url=response.request.url, params={**params, "page": params.get("page", 0) + 1},
kind=response.request.kind, meta=response.meta)
period = response.meta["period"]
label = f"{period[:4]}-H{period[4:]}" if response.request.kind == "halbjahr" else f"{period[:4]}-Q{period[4:]}"
min_euro = float(ctx.params.get("min_euro", 0))
for row in rows:
amount = row.get("euro")
if row.get("leermeldung") or amount is None or float(amount) < min_euro:
continue
kind = KIND.get(row.get("bekanntgabe"), "other")
payer_name = (row.get("rechtstraeger") or "").strip().strip('"')
owner = (row.get("medieninhaber") or row.get("mediumMedieninhaber") or "").strip()
medium = (row.get("medium") or row.get("mediumMedieninhaber") or "").strip()
if not payer_name or not owner:
continue
payer = OrgRef(name=payer_name, kind="public_body",
ids={"rtr": str(row["rechtstraeger_id"])} if row.get("rechtstraeger_id") else {})
payee = OrgRef(name=owner, kind="media")
campaign = row.get("kampagne")
what = "Werbung" if kind == "government_ad" else "Förderung"
evidence_url = (f"{API}/{'mt-bekanntgabe2024' if response.request.kind == 'halbjahr' else 'mt-bekanntgabe'}"
f".json?{'halbjahr' if response.request.kind == 'halbjahr' else 'quartal'}={period}"
+ (f"&rechtstraeger_id={row['rechtstraeger_id']}" if row.get("rechtstraeger_id") else ""))
yield Claim(
claim_type="money_flow", org=payer, counterpart_org=payee,
summary_de=f"{payer_name}: {what} in {medium} ({owner}), {format_eur_de(amount)} € ({label})"
+ (f" – Kampagne „{campaign}“" if campaign else ""),
summary_en=f"{payer_name}: {'advertising' if kind == 'government_ad' else 'funding'} in {medium} "
f"({owner}), EUR {amount:,.2f} ({label})",
data={"medium": medium, "category": row.get("kategorie"), "subcategory": row.get("subkategorie"),
"campaign": campaign, "sujet": row.get("sujet"), "period": label},
evidence=[Evidence(url=evidence_url, doc_type="dataset_row",
title=f"Medientransparenz {label}: {payer_name}",
quote=f"{payer_name} → {medium} ({owner}): {amount} €")],
topics=("Information und Medien",),
facet=Money(kind=kind, amount=amount, payer=payer, payer_name=payer_name, payee=payee, payee_name=owner,
period=label, reference=f"{campaign or ''}|{medium}|{row.get('sujet_dateiname') or ''}",
category=row.get("kategorie")),
)
backend/politrack/sources/social.py
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"""Public posts of politicians on open platforms: Bluesky, Mastodon, Telegram (public channels), YouTube,
and X via the official (paid) API when a token is configured.
Accounts come from the `social_account` table: parliament profiles (verified), Wikidata
P2002/P12361/P4033/P3789/P2397 (unverified until confirmed) and the curated config/social_accounts.yaml
(enricher `config.social_accounts`). Accounts belong to a person or to an organisation (party channels).
Not collected (see docs/sources.md): X without the official API (ToS forbid scraping and proxies such as
Nitter), Facebook/Instagram (ToS), WhatsApp channels (no public read access, ToS forbid automated
collection), Signal (private by design, no public channels), private Telegram groups.
"""
from __future__ import annotations
import re
from collections.abc import Iterator
from typing import Any
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, OrgRef, PersonRef, Statement
from politrack.text import excerpt, html_to_text
def social_spec(slug: str, name: str, homepage: str, notes: str, robots_exempt: tuple[str, ...] = ()) -> SourceSpec:
return SourceSpec(slug=slug, name=name, kind="social", homepage=homepage, license="Per-post copyright of the author",
access="api", trust=40, store_fulltext=True, keep_raw=True, min_interval=2.0,
robots_exempt=robots_exempt, tos_notes=notes)
BLUESKY = social_spec("bluesky", "Bluesky", "https://bsky.app",
"Public AT Protocol AppView API, no auth for public reads. Posts by the politicians themselves.")
MASTODON = social_spec("mastodon", "Mastodon / Fediverse", "https://joinmastodon.org",
"Public REST API of the account's instance (no auth for public statuses). Respect instance rules.")
TELEGRAM = social_spec("telegram", "Telegram (öffentliche Kanäle)", "https://telegram.org",
"Public web preview of *public broadcast channels* (t.me/s/<channel>); no robots.txt restrictions. "
"Private groups/chats are never accessed. Low frequency, latest posts only.")
YOUTUBE = social_spec("youtube", "YouTube", "https://www.youtube.com",
"YouTube Data API v3 (free quota, API key required via POLITRACK_YOUTUBE_API_KEY).")
X_API = "https://api.x.com/2/"
X = SourceSpec(slug="x", name="X (Twitter)", kind="social", homepage="https://x.com",
license="Per-post copyright of the author; X Developer Agreement", access="api", trust=40,
store_fulltext=False, keep_raw=False, min_interval=2.0, robots_exempt=(X_API,),
tos_notes="Official X API v2 only (paid tier, POLITRACK_X_BEARER_TOKEN). Scraping x.com or using "
"mirrors/proxies (Nitter etc.) violates the ToS and is not done. The Developer Agreement requires "
"removing posts that were deleted on X; no raw archive or full text is kept, but the "
"deletion sync is still open (docs/roadmap.md).")
PLATFORM_LABELS = {"bluesky": "Bluesky", "mastodon": "Mastodon", "telegram": "Telegram", "youtube": "YouTube",
"x": "X"}
def accounts(ctx: RunContext, platform: str, url_pattern: str | None = None) -> list[dict[str, Any]]:
"""Accounts of persons or organisations on one platform; each row carries an `owner` dict for Request.meta.
`url_pattern` also picks up accounts stored as plain websites, so it must match only that platform's
own host (never a generic shape like "https://host/@user", which TikTok and others share).
"""
if ctx.conn is None:
return []
rows = ctx.conn.execute(
"""SELECT person_id, organization_id, url, handle, verified FROM social_account
WHERE (platform = %s OR (%s::text IS NOT NULL AND url ~* %s))
AND (person_id IS NOT NULL OR organization_id IS NOT NULL)
ORDER BY verified DESC, id""",
(platform, url_pattern, url_pattern),
).fetchall()
for row in rows:
row["owner"] = {"person_id": str(row["person_id"]) if row["person_id"] else None,
"org_id": None if row["person_id"] else str(row["organization_id"]),
"verified": row["verified"]}
return rows
def post_claim(*, owner: dict[str, Any], platform: str, url: str, text: str, created: Any,
title: str | None = None, data: dict | None = None) -> Claim:
"""A public post as a `statement` claim of the account owner (person, or organisation for party channels)."""
label = PLATFORM_LABELS[platform]
return Claim(
claim_type="statement", occurred_at=created,
person=PersonRef(ids={"politrack": owner["person_id"]}) if owner.get("person_id") else None,
org=OrgRef(ids={"politrack_org": owner["org_id"]}, create=False) if owner.get("org_id") else None,
summary_de=f"Auf {label}: „{excerpt(title or text, 200)}“",
summary_en=f"On {label}: \"{excerpt(title or text, 200)}\"",
data={"platform": platform, "account_verified": owner.get("verified", False), **(data or {})},
evidence=[Evidence(url=url, source=platform, doc_type="social_post", title=excerpt(title or text, 120),
published_at=created, full_text=text, excerpt=text, quote=excerpt(text, 500))],
facet=Statement(context="social_post", url=url, said_at=created, platform=platform, title=title,
excerpt=text),
)
@register
class BlueskyPosts(Adapter):
spec = BLUESKY
name = "social.bluesky"
description = "Public Bluesky posts of politicians"
schedule = "7 * * * *"
queue = "social"
def start(self, ctx: RunContext) -> Iterator[Request]:
for acc in accounts(ctx, "bluesky", r"bsky\.app/profile/"):
m = re.search(r"bsky\.app/profile/([^/?#]+)", acc["url"])
if m:
yield Request(url="https://public.api.bsky.app/xrpc/app.bsky.feed.getAuthorFeed",
params={"actor": m.group(1), "limit": 50, "filter": "posts_no_replies"}, kind="feed",
meta={**acc["owner"], "handle": m.group(1)})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
handle = response.meta["handle"]
for item in response.json().get("feed", []):
post = item.get("post") or {}
if item.get("reason"): # repost of someone else's post
continue
record = post.get("record") or {}
text = record.get("text") or ""
author = (post.get("author") or {}).get("handle") or handle
rkey = post.get("uri", "").rsplit("/", 1)[-1]
yield post_claim(owner=response.meta, platform="bluesky",
url=f"https://bsky.app/profile/{author}/post/{rkey}", text=text,
created=record.get("createdAt"),
data={"likes": post.get("likeCount"), "reposts": post.get("repostCount")})
@register
class MastodonPosts(Adapter):
spec = MASTODON
name = "social.mastodon"
description = "Public Mastodon/Fediverse posts of politicians"
schedule = "17 * * * *"
queue = "social"
def start(self, ctx: RunContext) -> Iterator[Request]:
for acc in accounts(ctx, "mastodon"): # instances have arbitrary hosts: platform only
m = re.match(r"^https?://([^/]+)/@([^/@]+)", acc["url"])
if m:
host, user = m.groups()
yield Request(url=f"https://{host}/api/v1/accounts/lookup", params={"acct": user}, kind="lookup",
meta={**acc["owner"], "host": host})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
meta = response.meta
if response.request.kind == "lookup":
account_id = response.json().get("id")
if account_id:
yield Request(url=f"https://{meta['host']}/api/v1/accounts/{account_id}/statuses",
params={"limit": 40, "exclude_replies": "true", "exclude_reblogs": "true"},
kind="statuses", meta=meta)
return
for status in response.json():
if status.get("visibility") not in (None, "public"):
continue
yield post_claim(owner=meta, platform="mastodon", url=status.get("url") or status.get("uri"),
text=html_to_text(status.get("content")), created=status.get("created_at"),
data={"favourites": status.get("favourites_count"), "reblogs": status.get("reblogs_count")})
@register
class TelegramChannels(Adapter):
spec = TELEGRAM
name = "social.telegram"
description = "Public Telegram broadcast channels of politicians (web preview, latest posts)"
schedule = "27 */2 * * *"
queue = "social"
def start(self, ctx: RunContext) -> Iterator[Request]:
for acc in accounts(ctx, "telegram", r"(t\.me|telegram\.me)/"):
m = re.search(r"(?:t\.me|telegram\.me)/(?:s/)?([A-Za-z0-9_]{4,})", acc["url"])
if m:
yield Request(url=f"https://t.me/s/{m.group(1)}", kind="channel",
meta={**acc["owner"], "channel": m.group(1)})
def parse(self, ctx: RunContext, response: Response) -> Iterator[Claim]:
soup = response.soup
subscribers = soup.select_one(".tgme_channel_info_counter .counter_value")
for msg in soup.select("div.tgme_widget_message[data-post]"):
text_el = msg.select_one(".tgme_widget_message_text")
time_el = msg.select_one(".tgme_widget_message_date time")
text = text_el.get_text("\n", strip=True) if text_el else ""
if not text:
continue # media-only posts
forwarded = msg.select_one(".tgme_widget_message_forwarded_from")
views = msg.select_one(".tgme_widget_message_views")
yield post_claim(
owner=response.meta, platform="telegram", url=f"https://t.me/{msg['data-post']}",
text=text, created=time_el.get("datetime") if time_el else None,
data={"views": views.get_text(strip=True) if views else None,
"forwarded_from": forwarded.get_text(" ", strip=True) if forwarded else None,
"channel_subscribers": subscribers.get_text(strip=True) if subscribers else None},
)
@register
class YouTubeVideos(Adapter):
spec = YOUTUBE
name = "social.youtube"
description = "Latest YouTube uploads of politicians' channels (requires POLITRACK_YOUTUBE_API_KEY)"
schedule = "37 */6 * * *"
queue = "social"
def start(self, ctx: RunContext) -> Iterator[Request]:
key = get_settings().youtube_api_key
if not key:
ctx.stats["skipped_no_api_key"] = 1
return
api = "https://www.googleapis.com/youtube/v3/channels"
for acc in accounts(ctx, "youtube", r"youtube\.com/"):
meta = acc["owner"]
if m := re.search(r"youtube\.com/channel/(UC[\w-]+)", acc["url"]):
params = {"id": m.group(1)}
elif m := re.search(r"youtube\.com/@([\w.-]+)", acc["url"]):
params = {"forHandle": f"@{m.group(1)}"}
elif m := re.search(r"youtube\.com/(?:user/|c/)?([\w.-]+)/?$", acc["url"]):
params = {"forUsername": m.group(1)}
else:
continue
yield Request(url=api, params={**params, "part": "contentDetails", "key": key}, kind="channel", meta=meta)
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
data = response.json()
meta = response.meta
if response.request.kind == "channel":
for item in data.get("items", []):
uploads = item["contentDetails"]["relatedPlaylists"]["uploads"]
yield Request(url="https://www.googleapis.com/youtube/v3/playlistItems", kind="uploads", meta=meta,
params={"playlistId": uploads, "part": "snippet", "maxResults": 25,
"key": get_settings().youtube_api_key})
return
for item in data.get("items", []):
snippet = item.get("snippet") or {}
video = (snippet.get("resourceId") or {}).get("videoId")
if not video:
continue
yield post_claim(owner=meta, platform="youtube",
url=f"https://www.youtube.com/watch?v={video}", title=snippet.get("title"),
text=f"{snippet.get('title', '')}\n{snippet.get('description', '')}".strip(),
created=snippet.get("publishedAt"))
@register
class XPosts(Adapter):
spec = X
name = "social.x"
description = "Posts of politicians on X via the official API v2 (requires POLITRACK_X_BEARER_TOKEN)"
schedule = "47 */6 * * *"
queue = "social"
def start(self, ctx: RunContext) -> Iterator[Request]:
token = get_settings().x_bearer_token
if not token:
ctx.stats["skipped_no_api_key"] = 1
return
for acc in accounts(ctx, "twitter", r"//(www\.)?(twitter|x)\.com/"):
m = re.search(r"(?:twitter|x)\.com/(?:#!/)?@?(\w{1,15})/?$", acc["url"])
if m:
yield Request(url=f"{X_API}users/by/username/{m.group(1)}", kind="user", headers=self.auth(),
meta=acc["owner"])
@staticmethod
def auth() -> dict[str, str]:
return {"Authorization": f"Bearer {get_settings().x_bearer_token}"}
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
data = response.json()
meta = response.meta
if response.request.kind == "user":
user = data.get("data") or {}
if user.get("id"):
yield Request(url=f"{X_API}users/{user['id']}/tweets", kind="tweets", headers=self.auth(),
params={"max_results": 50, "exclude": "replies,retweets",
"tweet.fields": "created_at,public_metrics"},
meta={**meta, "username": user.get("username")})
return
for tweet in data.get("data") or []:
metrics = tweet.get("public_metrics") or {}
yield post_claim(owner=meta, platform="x",
url=f"https://x.com/{meta['username']}/status/{tweet['id']}", text=tweet.get("text", ""),
created=tweet.get("created_at"),
data={"likes": metrics.get("like_count"), "reposts": metrics.get("retweet_count")})
backend/politrack/sources/wikidata.py
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"""Wikidata (CC0) via the public SPARQL endpoint.
Fills what the federal parliament API does not cover: state parliaments (Landtage), state
governments, mayors and other offices, party membership, careers (employers, positions abroad,
EU roles) and social-media handles. People are merged with parliament records through P2280
(Austrian Parliament ID = PAD_INTERN).
Seats in the Nationalrat/Bundesrat/European Parliament are mapped to the canonical role "mp" in
that chamber, so a Wikidata mandate and a Parliament mandate with the same start date are the
same claim (corroborated by construction).
Flow: list Austrian positions -> holders in batches of 40 positions -> for each batch of persons:
party memberships, careers, social handles. Batching keeps queries within the endpoint's 60 s limit.
"""
from __future__ import annotations
import json
import re
from collections.abc import Iterator
from datetime import date
from typing import Any
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, OrgRef, PersonRecord, PersonRef, Role, SocialAccount
SPARQL = "https://query.wikidata.org/sparql"
SPEC = SourceSpec(
slug="wikidata",
name="Wikidata",
kind="aggregator",
homepage="https://www.wikidata.org",
license="CC0",
access="api",
trust=65,
min_interval=2.0,
robots_exempt=(SPARQL,),
tos_notes="SPARQL endpoint. robots.txt disallows /sparql for crawlers, but the Wikimedia User-Agent policy "
"allows bots with a descriptive User-Agent to use the query service. Community-edited.",
)
POSITION_LIST_QUERY = """
SELECT DISTINCT ?position ?positionLabel WHERE {
?position wdt:P17 wd:Q40 .
[] ps:P39 ?position .
SERVICE wikibase:label { bd:serviceParam wikibase:language "de,en". }
}
"""
POSITIONS_QUERY = """
SELECT ?person ?personLabel ?givenLabel ?familyLabel ?birth ?death ?pad ?ep ?position ?positionLabel ?start ?end
?group ?groupLabel WHERE {
VALUES ?position { %(positions)s }
?person p:P39 ?st .
?st ps:P39 ?position .
OPTIONAL { ?st pq:P580 ?start }
OPTIONAL { ?st pq:P582 ?end }
FILTER(!BOUND(?end) || ?end >= "%(since)s-01-01"^^xsd:dateTime)
OPTIONAL { ?st pq:P4100 ?group }
OPTIONAL { ?person wdt:P2280 ?pad }
# Generic positions with country=Austria are also held by foreigners (e.g. "Bundessprecher" of the German
# Green Youth): require an Austrian connection - parliament id, citizenship or an Austrian party.
FILTER(BOUND(?pad) || EXISTS { ?person wdt:P27 wd:Q40 } || EXISTS { ?person wdt:P102 ?ap . ?ap wdt:P17 wd:Q40 })
OPTIONAL { ?person wdt:P1186 ?ep }
OPTIONAL { ?person wdt:P569 ?birth }
OPTIONAL { ?person wdt:P570 ?death }
OPTIONAL { ?person wdt:P735 ?given }
OPTIONAL { ?person wdt:P734 ?family }
SERVICE wikibase:label { bd:serviceParam wikibase:language "de,en". }
}
"""
PARTY_QUERY = """
SELECT ?person ?party ?partyLabel ?partyShort ?start ?end WHERE {
VALUES ?person { %(persons)s }
?person p:P102 ?st .
?st ps:P102 ?party .
?party wdt:P17 wd:Q40 .
OPTIONAL { ?st pq:P580 ?start }
OPTIONAL { ?st pq:P582 ?end }
OPTIONAL { ?party wdt:P1813 ?partyShort . FILTER(LANG(?partyShort) = "de") }
SERVICE wikibase:label { bd:serviceParam wikibase:language "de,en". }
}
"""
CAREER_QUERY = """
SELECT ?person ?org ?orgLabel ?start ?end ?kind WHERE {
VALUES ?person { %(persons)s }
{ ?person p:P108 ?st . ?st ps:P108 ?org . BIND("employer" AS ?kind) }
UNION
{ ?person p:P39 ?st . ?st ps:P39 ?org . FILTER NOT EXISTS { ?org wdt:P17 wd:Q40 } BIND("position" AS ?kind) }
OPTIONAL { ?st pq:P580 ?start }
OPTIONAL { ?st pq:P582 ?end }
SERVICE wikibase:label { bd:serviceParam wikibase:language "de,en". }
}
"""
# Social-media properties: P2002 X/Twitter, P12361 Bluesky, P4033 Mastodon, P3789 Telegram,
# P2397 YouTube channel id, P2003 Instagram, P2013 Facebook, P7085 TikTok
SOCIAL_QUERY = """
SELECT ?person ?prop ?value WHERE {
VALUES ?person { %(persons)s }
VALUES ?prop { wdt:P2002 wdt:P12361 wdt:P4033 wdt:P3789 wdt:P2397 wdt:P2003 wdt:P2013 wdt:P7085 }
?person ?prop ?value .
}
"""
SOCIAL_PROPS = {
"P2002": ("twitter", "https://x.com/{}"),
"P12361": ("bluesky", "https://bsky.app/profile/{}"),
"P4033": ("mastodon", None),
"P3789": ("telegram", "https://t.me/{}"),
"P2397": ("youtube", "https://www.youtube.com/channel/{}"),
"P2003": ("instagram", "https://www.instagram.com/{}"),
"P2013": ("facebook", "https://www.facebook.com/{}"),
"P7085": ("tiktok", "https://www.tiktok.com/@{}"),
}
EU_POLITICAL = re.compile(r"Europäischen Parlament|Europaparlament|Europäischen Kommission|EU-Kommissar|"
r"Member of the European Parliament", re.IGNORECASE)
EXCLUDE = re.compile(
r"professor|kommerzialrat|kommerzienrat|hofrat|ministerialrat|regierungsrat|gerichtshof|richter|"
r"botschafter|bischof|rektor|ökonomierat|medizinalrat|schulrat|studienrat|baurat|veterinärrat|"
r"bergrat|amtsrat|kammerrat|konsul",
re.IGNORECASE,
)
CHAMBER_LABELS = [
(re.compile(r"Abgeordnete[rn]? zum Nationalrat|Mitglied des Nationalrates", re.I), "nationalrat", "federal"),
(re.compile(r"Mitglied des (österreichischen )?Bundesrate?s", re.I), "bundesrat", "federal"),
(re.compile(r"Mitglied des Europäischen Parlaments|Member of the European Parliament", re.I),
"europaeisches-parlament", "eu"),
]
def classify_level(label: str) -> str:
if re.search(r"europäischen parlament|europaabgeordnet|eu-kommiss", label, re.I):
return "eu"
if re.search(r"bürgermeister|gemeinderat|stadtrat|vizebürgermeister|gemeinde", label, re.I):
return "municipal" if "Wiener Landtag" not in label else "state"
if re.search(r"landtag|landesrat|landeshauptmann|landesregierung|landesamtsdirektor", label, re.I):
return "state"
if re.search(r"bezirk", label, re.I):
return "district"
return "federal"
def wd_date(binding: dict, key: str) -> date | None:
value = binding.get(key, {}).get("value")
if not value or value.startswith("-"):
return None
try:
return date.fromisoformat(value[:10])
except ValueError:
return None
def qid(binding: dict, key: str) -> str | None:
value = binding.get(key, {}).get("value")
return value.rsplit("/", 1)[-1] if value else None
def label(binding: dict, key: str) -> str | None:
value = binding.get(key, {}).get("value")
return None if not value or re.fullmatch(r"Q\d+", value) else value
def sparql(query: str, kind: str, meta: dict | None = None) -> Request:
return Request(url=SPARQL, params={"query": query, "format": "json"}, kind=kind, meta=meta or {},
headers={"Accept": "application/sparql-results+json"})
def role_for(position_label: str) -> tuple[str, OrgRef | None, str]:
for pattern, slug, level in CHAMBER_LABELS:
if pattern.search(position_label):
return "mp", OrgRef(slug=slug), level
return position_label, None, classify_level(position_label)
@register
class WikidataPoliticians(Adapter):
spec = SPEC
name = "wikidata.politicians"
description = "Austrian office holders (all levels), party membership, careers, social handles"
schedule = "45 4 * * 0"
creates_persons = True
parser_version = 2
def start(self, ctx: RunContext) -> Iterator[Request]:
yield sparql(POSITION_LIST_QUERY, kind="positions")
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
bindings = json.loads(response.text, strict=False)["results"]["bindings"]
kind = response.request.kind
if kind == "positions":
positions = [qid(b, "position") for b in bindings
if label(b, "positionLabel") and not EXCLUDE.search(label(b, "positionLabel") or "")]
since = ctx.params.get("since_year", 2000)
for i in range(0, len(positions), 40):
values = " ".join(f"wd:{q}" for q in positions[i:i + 40])
yield sparql(POSITIONS_QUERY % {"positions": values, "since": since}, kind="holders")
elif kind == "holders":
yield from self.parse_holders(bindings)
elif kind == "parties":
yield from self.parse_parties(bindings)
elif kind == "careers":
yield from self.parse_careers(bindings)
elif kind == "social":
yield from self.parse_social(bindings)
def parse_holders(self, bindings: list[dict]) -> Iterator[Any]:
seen: set[str] = set()
for b in bindings:
person_qid, name, position = qid(b, "person"), label(b, "personLabel"), label(b, "positionLabel")
if not name or not position or EXCLUDE.search(position):
continue
pad = b.get("pad", {}).get("value")
ids = {"wikidata": person_qid}
if pad and pad.isdigit():
ids["parlament"] = str(int(pad))
if b.get("ep", {}).get("value"):
ids["ep"] = b["ep"]["value"]
ref = PersonRef(ids=ids)
if person_qid not in seen:
seen.add(person_qid)
yield PersonRecord(ref=ref, full_name=name, given_name=label(b, "givenLabel"),
family_name=label(b, "familyLabel"), birth_date=wd_date(b, "birth"),
death_date=wd_date(b, "death"))
start, end = wd_date(b, "start"), wd_date(b, "end") or wd_date(b, "death")
group_label = label(b, "groupLabel")
group = OrgRef(name=group_label, kind="parliamentary_group", ids={"wikidata": qid(b, "group")}) \
if group_label else None
role, body, level = role_for(position)
yield Claim(
claim_type="role", person=ref, org=body, counterpart_org=group, valid_from=start, valid_to=end,
summary_de=f"{name}: {position}" + (f" ({group_label})" if group_label else ""),
data={"position_qid": qid(b, "position"), "position_label": position},
evidence=[Evidence(url=f"https://www.wikidata.org/wiki/{person_qid}", doc_type="api_record",
title=f"Wikidata: {name}", locator=f"P39:{qid(b, 'position')}:{start}")],
facet=Role(role=role, level=level, body=body, start=start, end=end),
)
persons = sorted(seen)
for i in range(0, len(persons), 300):
values = " ".join(f"wd:{q}" for q in persons[i:i + 300])
yield sparql(PARTY_QUERY % {"persons": values}, kind="parties")
yield sparql(CAREER_QUERY % {"persons": values}, kind="careers")
yield sparql(SOCIAL_QUERY % {"persons": values}, kind="social")
def parse_parties(self, bindings: list[dict]) -> Iterator[Claim]:
for b in bindings:
party_label = label(b, "partyLabel")
if not party_label:
continue
person_qid = qid(b, "person")
party = OrgRef(name=party_label, short_name=b.get("partyShort", {}).get("value"), kind="party",
ids={"wikidata": qid(b, "party")})
start, end = wd_date(b, "start"), wd_date(b, "end")
yield Claim(
claim_type="role", person=PersonRef(ids={"wikidata": person_qid}), org=party,
valid_from=start, valid_to=end,
summary_de=f"Mitglied der Partei {party_label}", summary_en=f"Member of {party_label}",
evidence=[Evidence(url=f"https://www.wikidata.org/wiki/{person_qid}", doc_type="api_record",
title="Wikidata", locator=f"P102:{qid(b, 'party')}:{start}")],
facet=Role(role="party_member", level="party", body=party, party=party, start=start, end=end),
)
def parse_careers(self, bindings: list[dict]) -> Iterator[Claim]:
for b in bindings:
org_label = label(b, "orgLabel")
if not org_label or EXCLUDE.search(org_label):
continue
person_qid = qid(b, "person")
ref = PersonRef(ids={"wikidata": person_qid})
start, end = wd_date(b, "start"), wd_date(b, "end")
kind = b["kind"]["value"]
evidence = [Evidence(url=f"https://www.wikidata.org/wiki/{person_qid}", doc_type="api_record",
title="Wikidata", locator=f"{kind}:{qid(b, 'org')}:{start}")]
if kind == "position" and EU_POLITICAL.search(org_label):
role, body, level = role_for(org_label)
yield Claim(claim_type="role", person=ref, org=body, valid_from=start, valid_to=end,
summary_de=org_label, evidence=evidence,
facet=Role(role=role, level="eu", body=body, start=start, end=end))
continue
employer = OrgRef(name=org_label, ids={"wikidata": qid(b, "org")}) if kind == "employer" else None
yield Claim(
claim_type="career", person=ref, counterpart_org=employer, valid_from=start, valid_to=end,
occurred_at=start, key=("wikidata-career", person_qid, kind, qid(b, "org"), start),
summary_de=f"{'Arbeitet(e) bei' if kind == 'employer' else 'Funktion:'} {org_label}",
summary_en=f"{'Employed by' if kind == 'employer' else 'Position:'} {org_label}",
data={"kind": kind, "org_qid": qid(b, "org")}, evidence=evidence,
)
def parse_social(self, bindings: list[dict]) -> Iterator[SocialAccount]:
for b in bindings:
prop = b["prop"]["value"].rsplit("/", 1)[-1]
value = b["value"]["value"].strip()
platform, template = SOCIAL_PROPS[prop]
if platform == "mastodon":
user, _, host = value.lstrip("@").partition("@")
if not host:
continue
url = f"https://{host}/@{user}"
else:
url = template.format(value)
yield SocialAccount(platform=platform, url=url, handle=value,
person=PersonRef(ids={"wikidata": qid(b, "person")}), verified=False)
backend/politrack/sources/wikipedia.py
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"""Wikipedia edits made from the networks of Parliament and federal government (classic transparency bot).
Anonymous Wikipedia edits are publicly attributed to the editor's IP address. We query the MediaWiki API
(list=usercontribs, uciprange) for the IP ranges registered to public institutions in the RIPE database
(config/ip_ranges.yaml) and record each edit as a `wiki_edit` claim of the institution, linked to the
person whose article was edited when the title matches a known politician. Individual IP addresses are
not displayed - only the institution owning the network.
The API is used per the MediaWiki API etiquette (descriptive User-Agent, sequential requests); robots.txt
disallows /w/ for crawlers, which does not apply to API clients (robots_exempt below).
"""
from __future__ import annotations
from collections.abc import Iterator
from datetime import date, timedelta
from typing import Any
import yaml
from politrack.config import get_settings
from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
from politrack.core.records import Claim, Evidence, OrgRef, PersonRef
from politrack.text import excerpt
WIKIS = ("de.wikipedia.org", "en.wikipedia.org")
SPEC = SourceSpec(
slug="wikipedia", name="Wikipedia (Bearbeitungen aus Behördennetzen)", kind="aggregator",
homepage="https://de.wikipedia.org", license="CC BY-SA 4.0", access="api", trust=80, min_interval=1.0,
robots_exempt=tuple(f"https://{w}/w/api.php" for w in WIKIS),
tos_notes="MediaWiki API (API etiquette: descriptive User-Agent, no parallel requests). Edits from IP ranges "
"registered to Parliament / Bundeskanzleramt in the RIPE database.",
)
@register
class InstitutionalWikiEdits(Adapter):
spec = SPEC
name = "wikipedia.institution_edits"
description = "Wikipedia edits from the IP ranges of Parliament and federal government"
schedule = "15 7 * * *"
def start(self, ctx: RunContext) -> Iterator[Request]:
config = yaml.safe_load((get_settings().config_dir / "ip_ranges.yaml").read_text(encoding="utf-8"))
days = int(ctx.params.get("days", 3650 if not ctx.state.get("initialised") else 30))
end = (date.today() - timedelta(days=days)).isoformat() + "T00:00:00Z"
for network in config.get("networks") or []:
for cidr in network["ranges"]:
for wiki in WIKIS:
yield Request(
url=f"https://{wiki}/w/api.php", kind="contribs",
params={"action": "query", "list": "usercontribs", "uciprange": cidr, "uclimit": 500,
"ucend": end, "ucprop": "ids|title|timestamp|comment|sizediff", "format": "json",
"formatversion": 2},
meta={"wiki": wiki, "org": network["org"], "label": network["label"]}, conditional=False)
ctx.state.set("initialised", True)
def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
data = response.json()
meta = response.meta
if "continue" in data:
yield Request(url=response.request.url, kind="contribs", meta=meta, conditional=False,
params={**response.request.params, **data["continue"]})
for edit in (data.get("query") or {}).get("usercontribs") or []:
title, revid = edit.get("title"), edit.get("revid")
if not title or not revid or ":" in title.split(" ")[0] and not title.startswith("Liste"):
continue # skip talk/user/meta pages ("Diskussion:", "Benutzer:")
size = edit.get("sizediff")
comment = edit.get("comment") or ""
diff = f"https://{meta['wiki']}/w/index.php?diff={revid}"
yield Claim(
claim_type="wiki_edit", org=OrgRef(slug=meta["org"], create=False),
counterpart_person=PersonRef(name=title, hints={}), key=("wiki", meta["wiki"], revid),
occurred_at=edit.get("timestamp"),
summary_de=f"Wikipedia-Bearbeitung aus dem Netz von {meta['label']}: „{title}“"
+ (f" ({size:+d} Zeichen)" if isinstance(size, int) else "")
+ (f" – {excerpt(comment, 120)}" if comment else ""),
summary_en=f"Wikipedia edit from the network of {meta['label']}: \"{title}\""
+ (f" ({size:+d} characters)" if isinstance(size, int) else ""),
data={"wiki": meta["wiki"], "title": title, "sizediff": size, "comment": comment},
evidence=[Evidence(url=diff, doc_type="web_page", title=f"Wikipedia: {title}",
published_at=edit.get("timestamp"), quote=comment or None)],
)
backend/politrack/text.py
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import hashlib
import html
import re
import unicodedata
from bs4 import BeautifulSoup
from slugify import slugify
ACADEMIC_TITLES = re.compile(
r"\b(Mag\.?(\s?\(FH\))?|Dr\.?|DI|Dipl\.-Ing\.?|Ing\.?|MMag\.?|Prof\.?|Univ\.-Prof\.?|BA|MA|BSc|MSc|MBA|LL\.?M\.?|"
r"PhD|MAS|MPA|Bakk\.?|DDr\.?|KR|Abg\.?|Mmag\.?|MEd|BEd|Dipl\.-Päd\.?)(?=\s|,|$)",
re.IGNORECASE,
)
def normalize(text: str) -> str:
"""Lowercase, strip accents and collapse whitespace (matches SQL lower(unaccent()))."""
text = unicodedata.normalize("NFKD", text)
text = "".join(c for c in text if not unicodedata.combining(c))
return re.sub(r"\s+", " ", text).strip().lower()
def strip_titles(name: str) -> str:
name = ACADEMIC_TITLES.sub("", name)
name = re.sub(r"\s*,\s*", ", ", name)
return re.sub(r"\s+", " ", name).strip(" ,")
def make_slug(*parts: str) -> str:
return slugify(" ".join(p for p in parts if p), lowercase=True, replacements=[["ß", "ss"]])
def html_to_text(fragment: str | None) -> str:
if not fragment:
return ""
return re.sub(r"\s+", " ", BeautifulSoup(html.unescape(fragment), "html.parser").get_text(" ")).strip()
def fingerprint(*parts: object) -> str:
raw = "|".join(str(p) for p in parts)
return hashlib.sha256(raw.encode("utf-8")).hexdigest()[:40]
LEGAL_FORMS = re.compile(
r"\b(gesellschaft\s+m\.?\s?b\.?\s?h\.?|ges\.?\s?m\.?\s?b\.?\s?h\.?|gmbh|g\.m\.b\.h\.?|aktiengesellschaft|ag|"
r"kommanditgesellschaft|kg|og|e\.?\s?u\.?|eg|e\.?\s?gen\.?|reg\.?\s?gen\.?\s?m\.?\s?b\.?\s?h\.?|se|ltd\.?|inc\.?|"
r"llc|s\.?a\.?|b\.?v\.?|n\.?v\.?|& co\.?|co\.?|und co\.?|gesmbh|mbh|kgaa|plc)\b",
re.IGNORECASE,
)
def normalize_org_name(name: str) -> str:
"""'HYPO TIROL BANK AG' == 'Hypo Tirol Bank Aktiengesellschaft' -> 'hypo tirol bank'.
Lowercase, strip accents, quotes, punctuation and legal-form suffixes, so the same company is
recognised across sources (side-job lists, procurement notices, donation lists, ad reports).
"""
text = normalize(name)
text = re.sub(r"[\"'„“”»«]", "", text)
text = LEGAL_FORMS.sub(" ", text)
text = re.sub(r"[^\w\s-]", " ", text)
return re.sub(r"\s+", " ", text).strip(" -")
def firmenbuch_number(value: str | None) -> str | None:
"""'FN 306527 a', 'FN306527a', '306527a' -> '306527a' (Austrian company register number, normalised)."""
m = re.fullmatch(r"\s*(?:FN\s*)?(\d{1,6})\s?([a-zA-Z])\s*", value or "", re.IGNORECASE)
return f"{m.group(1)}{m.group(2).lower()}" if m else None
def format_eur_de(amount: object) -> str:
"""1234567.8 -> '1.234.567,80' (German number format; formats only the number, never the sentence)."""
try:
value = float(amount) # type: ignore[arg-type]
except (TypeError, ValueError):
return str(amount)
return f"{value:,.2f}".replace(",", "X").replace(".", ",").replace("X", ".")
def excerpt(text: str, limit: int = 400) -> str:
text = re.sub(r"\s+", " ", text).strip()
return text if len(text) <= limit else text[: limit - 1].rsplit(" ", 1)[0] + "…"
backend/politrack/worker.py
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"""Background jobs on Procrastinate (Postgres-backed queue; no Redis).
One periodic task is generated per registered adapter/enricher from its `schedule` (cron, UTC) and
`queue`. Run workers per queue so heavy jobs don't block light ones:
procrastinate --app=politrack.worker.app worker --queues=scrape,social
procrastinate --app=politrack.worker.app worker --queues=bulk
procrastinate --app=politrack.worker.app worker --queues=enrich
Periodic tasks are deferred by every running worker and de-duplicated by Procrastinate; queueing locks
prevent two runs of the same adapter at once. Workers can run on other machines that reach the DB.
"""
from __future__ import annotations
import logging
from procrastinate import App, PsycopgConnector
from politrack.config import get_settings
from politrack.core import registry
from politrack.core.runner import run
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s: %(message)s")
app = App(connector=PsycopgConnector(conninfo=get_settings().database_url))
def _make_task(name: str, queue: str, schedule: str | None) -> None:
def job(timestamp: int | None = None, **params) -> dict:
return run(name, params=params or None)
job.__name__ = f"run_{name.replace('.', '_')}"
task = app.task(name=f"politrack.run.{name}", queue=queue, queueing_lock=name, pass_context=False)(job)
if schedule:
app.periodic(cron=schedule, periodic_id=name)(task)
registry.load_builtin()
for _name, _cls in {**registry.ADAPTERS, **registry.ENRICHERS}.items():
_make_task(_name, _cls.queue, _cls.schedule)
backend/pyproject.toml
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[project]
name = "politrack"
version = "0.2.0"
description = "Evidence-backed tracking of Austrian politicians and parties"
requires-python = ">=3.12"
dependencies = [
"fastapi>=0.115",
"uvicorn[standard]>=0.30",
"psycopg[binary,pool]>=3.2",
"pydantic>=2.8",
"pydantic-settings>=2.4",
"httpx>=0.27",
"protego>=0.3",
"feedparser>=6.0",
"beautifulsoup4>=4.12",
"openpyxl>=3.1",
"python-slugify>=8.0",
"rapidfuzz>=3.9",
"procrastinate>=2.14,<4",
"typer>=0.12",
"pyyaml>=6.0",
"mcp>=1.9",
]
# Third-party adapters register themselves here, e.g. in another package's pyproject:
# [project.entry-points."politrack.adapters"]
# my_source = "my_package.my_module"
[project.optional-dependencies]
dev = ["pytest>=8", "ruff>=0.6"]
[project.scripts]
politrack = "politrack.cli:app"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["politrack"]
[tool.ruff]
line-length = 110
target-version = "py312"
[tool.pytest.ini_options]
testpaths = ["tests"]
backend/tests/fixtures/bundesregierung.ministerrat/protocol_2026_06_10.expected.json
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backend/tests/fixtures/bundesregierung.ministerrat/protocol_2026_06_10.html
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backend/tests/fixtures/bundesregierung.ministerrat/protocol_2026_06_10.request.json
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{
"url": "https://www.bundeskanzleramt.gv.at/bundeskanzleramt/die-bundesregierung/ministerratsprotokolle/ministerratsprotokolle-regierungsperiode-xxviii-2025/bp-56-10-juni.html",
"kind": "protocol",
"method": "GET",
"params": null,
"json": null,
"meta": {},
"content_type": "text/html;charset=UTF-8",
"body_file": "protocol_2026_06_10.html"
}
backend/tests/fixtures/europarl.meps/mep.expected.json
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[
{
"__type__": "PersonRecord",
"aliases": [],
"birth_date": "1987-10-04",
"death_date": null,
"family_name": null,
"full_name": "Petra Steger",
"gender": null,
"given_name": null,
"honorific_prefix": null,
"honorific_suffix": null,
"match_by_name": false,
"photo_url": "https://www.europarl.europa.eu/mepphoto/220897.jpg",
"ref": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "220897"
},
"name": null
}
},
{
"__type__": "Claim",
"claim_type": "role",
"counterpart_org": null,
"counterpart_person": null,
"data": {
"ep_group": "PfE"
},
"evidence": [
{
"__type__": "Evidence",
"confidence": 1.0,
"doc_type": "api_record",
"excerpt": null,
"full_text": null,
"locator": "",
"meta": {},
"published_at": null,
"quote": null,
"source": null,
"stance": "supports",
"title": "Europäisches Parlament: Petra Steger",
"url": "https://www.europarl.europa.eu/meps/de/220897"
}
],
"facet": {
"__type__": "Role",
"body": {
"__type__": "OrgRef",
"create": true,
"ids": {},
"kind": "other",
"name": null,
"short_name": null,
"slug": "europaeisches-parlament"
},
"end": null,
"level": "eu",
"party": null,
"region": null,
"role": "mp",
"start": null
},
"key": null,
"occurred_at": null,
"org": {
"__type__": "OrgRef",
"create": true,
"ids": {},
"kind": "other",
"name": null,
"short_name": null,
"slug": "europaeisches-parlament"
},
"person": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "220897"
},
"name": null
},
"review": false,
"sensitive": false,
"summary_de": "Mitglied des Europäischen Parlaments (Fraktion PfE)",
"summary_en": "Member of the European Parliament (PfE)",
"topics": [],
"valid_from": null,
"valid_to": null
}
]
backend/tests/fixtures/europarl.meps/mep.json
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{
"data": [
{
"id": "person/220897",
"type": "Person",
"identifier": "220897",
"label": "Petra STEGER",
"notation_codictPersonId": "220897",
"bday": "1987-10-04",
"hasEmail": "mailto:petra.steger@europarl.europa.eu",
"hasGender": "http://publications.europa.eu/resource/authority/human-sex/FEMALE",
"hasHonorificPrefix": "http://publications.europa.eu/resource/authority/honorific/MS",
"hasMembership": [
{
"id": "membership/220897-f-176536",
"type": "Membership",
"identifier": "220897-f-176536",
"notation_codictFunctionId": "176536",
"memberDuring": {
"id": "time-period/20240919",
"type": "PeriodOfTime",
"startDate": "2024-09-19"
},
"organization": "org/6565",
"role": "def/ep-roles/MEMBER",
"membershipClassification": "def/ep-entities/DELEGATION_PARLIAMENTARY_ASSEMBLY",
"contactPoint": []
},
{
"id": "membership/220897-f-180915",
"type": "Membership",
"identifier": "220897-f-180915",
"notation_codictFunctionId": "180915",
"memberDuring": {
"id": "time-period/20260430",
"type": "PeriodOfTime",
"startDate": "2026-04-30"
},
"organization": "org/7911",
"role": "def/ep-roles/MEMBER",
"membershipClassification": "def/ep-entities/COMMITTEE_PARLIAMENTARY_STANDING",
"contactPoint": []
},
{
"id": "membership/220897-m-16892",
"type": "Membership",
"represents": [
"http://publications.europa.eu/resource/authority/country/AUT"
],
"identifier": "220897-m-16892",
"notation_codictMandateId": "16892",
"contactPoint": [
{
"id": "contact-point/220897-m-16892-T02107",
"type": "ContactPoint",
"officeAddress": "T02107",
"hasTelephone": {
"id": "tel/0033388175484",
"type": "Voice",
"hasValue": "tel:+33388175484"
},
"hasSite": "http://publications.europa.eu/resource/authority/site/LOW"
},
{
"id": "contact-point/220897-m-16892-07M089",
"type": "ContactPoint",
"officeAddress": "07M089",
"hasTelephone": {
"id": "tel/003222845484",
"type": "Voice",
"hasValue": "tel:+3222845484"
},
"hasSite": "http://publications.europa.eu/resource/authority/site/WIB"
}
],
"memberDuring": {
"id": "time-period/20240716",
"type": "PeriodOfTime",
"startDate": "2024-07-16"
},
"organization": "org/ep-10",
"role": "def/ep-roles/MEMBER_PARLIAMENT"
},
{
"id": "membership/220897-f-169570",
"type": "Membership",
"identifier": "220897-f-169570",
"notation_codictFunctionId": "169570",
"memberDuring": {
"id": "time-period/20240716",
"type": "PeriodOfTime",
"startDate": "2024-07-16"
},
"organization": "org/ep-10",
"role": "def/ep-roles/MEMBER",
"membershipClassification": "def/ep-entities/EU_INSTITUTION",
"contactPoint": []
},
{
"id": "membership/220897-f-178097",
"type": "Membership",
"identifier": "220897-f-178097",
"notation_codictFunctionId": "178097",
"memberDuring": {
"id": "time-period/20250123-20260429",
"type": "PeriodOfTime",
"endDate": "2026-04-29",
"startDate": "2025-01-23"
},
"organization": "org/7911",
"role": "def/ep-roles/MEMBER_SUBSTITUTE",
"membershipClassification": "def/ep-entities/COMMITTEE_PARLIAMENTARY_STANDING",
"contactPoint": []
},
{
"id": "membership/220897-f-173971",
"type": "Membership",
"identifier": "220897-f-173971",
"notation_codictFunctionId": "173971",
"memberDuring": {
"id": "time-period/20240719",
"type": "PeriodOfTime",
"startDate": "2024-07-19"
},
"organization": "org/6586",
"role": "def/ep-roles/MEMBER",
"membershipClassification": "def/ep-entities/COMMITTEE_PARLIAMENTARY_STANDING",
"contactPoint": []
},
{
"id": "membership/220897-f-176219",
"type": "Membership",
"identifier": "220897-f-176219",
"notation_codictFunctionId": "176219",
"memberDuring": {
"id": "time-period/20240919",
"type": "PeriodOfTime",
"startDate": "2024-09-19"
},
"organization": "org/6622",
"role": "def/ep-roles/MEMBER_SUBSTITUTE",
"membershipClassification": "def/ep-entities/DELEGATION_JOINT_COMMITTEE",
"contactPoint": []
},
{
"id": "membership/220897-f-173095",
"type": "Membership",
"identifier": "220897-f-173095",
"notation_codictFunctionId": "173095",
"memberDuring": {
"id": "time-period/20240719",
"type": "PeriodOfTime",
"startDate": "2024-07-19"
},
"organization": "org/6576",
"role": "def/ep-roles/MEMBER_SUBSTITUTE",
"membershipClassification": "def/ep-entities/COMMITTEE_PARLIAMENTARY_STANDING",
"contactPoint": []
}
],
"citizenship": "http://publications.europa.eu/resource/authority/country/AUT",
"placeOfBirth": "Vienna",
"account": [
{
"id": "https://www.youtube.com/@PetraSteger-hp1re",
"type": "OnlineAccount",
"dcterms_type": "http://publications.europa.eu/resource/authority/address-type/YTB"
},
{
"id": "https://www.facebook.com/stegerpetra",
"type": "OnlineAccount",
"dcterms_type": "http://publications.europa.eu/resource/authority/address-type/FBW"
},
{
"id": "https://www.instagram.com/stegerpetra/",
"type": "OnlineAccount",
"dcterms_type": "http://publications.europa.eu/resource/authority/address-type/IST"
}
],
"familyName": "Steger",
"givenName": "Petra",
"img": "https://www.europarl.europa.eu/mepphoto/220897.jpg",
"sortLabel": "STEGERP",
"upperFamilyName": "STEGER",
"upperGivenName": "PETRA"
}
],
"@context": [
{
"data": "@graph",
"@base": "https://data.europarl.europa.eu/"
},
"https://data.europarl.europa.eu/api/v2/context.jsonld"
]
}
backend/tests/fixtures/europarl.meps/mep.request.json
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{
"url": "https://data.europarl.europa.eu/api/v2/meps/220897",
"kind": "mep",
"method": "GET",
"params": {
"format": "application/ld+json"
},
"json": null,
"meta": {
"name": "Petra Steger",
"group": "PfE",
"mep_id": "220897"
},
"content_type": "application/ld+json",
"body_file": "mep.json"
}
backend/tests/fixtures/europarl.meps/meps.expected.json
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[
{
"__type__": "PersonRecord",
"aliases": [
"Harald VILIMSKY"
],
"birth_date": null,
"death_date": null,
"family_name": "Vilimsky",
"full_name": "Harald Vilimsky",
"gender": null,
"given_name": "Harald",
"honorific_prefix": null,
"honorific_suffix": null,
"match_by_name": true,
"photo_url": null,
"ref": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "125001"
},
"name": "Harald Vilimsky"
}
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "mep",
"meta": {
"group": "PfE",
"mep_id": "125001",
"name": "Harald Vilimsky"
},
"method": "GET",
"params": {
"format": "application/ld+json"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps/125001"
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "declarations",
"meta": {
"mep_id": "125001",
"name": "Harald Vilimsky"
},
"method": "GET",
"params": {
"format": "application/ld+json",
"limit": 100,
"person-id": "125001"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps-declarations"
},
{
"__type__": "PersonRecord",
"aliases": [
"Thomas WAITZ"
],
"birth_date": null,
"death_date": null,
"family_name": "Waitz",
"full_name": "Thomas Waitz",
"gender": null,
"given_name": "Thomas",
"honorific_prefix": null,
"honorific_suffix": null,
"match_by_name": true,
"photo_url": null,
"ref": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "190464"
},
"name": "Thomas Waitz"
}
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "mep",
"meta": {
"group": "Verts/ALE",
"mep_id": "190464",
"name": "Thomas Waitz"
},
"method": "GET",
"params": {
"format": "application/ld+json"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps/190464"
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "declarations",
"meta": {
"mep_id": "190464",
"name": "Thomas Waitz"
},
"method": "GET",
"params": {
"format": "application/ld+json",
"limit": 100,
"person-id": "190464"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps-declarations"
},
{
"__type__": "PersonRecord",
"aliases": [
"Lukas MANDL"
],
"birth_date": null,
"death_date": null,
"family_name": "Mandl",
"full_name": "Lukas Mandl",
"gender": null,
"given_name": "Lukas",
"honorific_prefix": null,
"honorific_suffix": null,
"match_by_name": true,
"photo_url": null,
"ref": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "190713"
},
"name": "Lukas Mandl"
}
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "mep",
"meta": {
"group": "PPE",
"mep_id": "190713",
"name": "Lukas Mandl"
},
"method": "GET",
"params": {
"format": "application/ld+json"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps/190713"
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "declarations",
"meta": {
"mep_id": "190713",
"name": "Lukas Mandl"
},
"method": "GET",
"params": {
"format": "application/ld+json",
"limit": 100,
"person-id": "190713"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps-declarations"
},
{
"__type__": "PersonRecord",
"aliases": [
"Alexander BERNHUBER"
],
"birth_date": null,
"death_date": null,
"family_name": "Bernhuber",
"full_name": "Alexander Bernhuber",
"gender": null,
"given_name": "Alexander",
"honorific_prefix": null,
"honorific_suffix": null,
"match_by_name": true,
"photo_url": null,
"ref": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "197648"
},
"name": "Alexander Bernhuber"
}
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "mep",
"meta": {
"group": "PPE",
"mep_id": "197648",
"name": "Alexander Bernhuber"
},
"method": "GET",
"params": {
"format": "application/ld+json"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps/197648"
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "declarations",
"meta": {
"mep_id": "197648",
"name": "Alexander Bernhuber"
},
"method": "GET",
"params": {
"format": "application/ld+json",
"limit": 100,
"person-id": "197648"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps-declarations"
},
{
"__type__": "PersonRecord",
"aliases": [
"Angelika WINZIG"
],
"birth_date": null,
"death_date": null,
"family_name": "Winzig",
"full_name": "Angelika Winzig",
"gender": null,
"given_name": "Angelika",
"honorific_prefix": null,
"honorific_suffix": null,
"match_by_name": true,
"photo_url": null,
"ref": {
"__type__": "PersonRef",
"hints": {},
"ids": {
"ep": "197652"
},
"name": "Angelika Winzig"
}
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "mep",
"meta": {
"group": "PPE",
"mep_id": "197652",
"name": "Angelika Winzig"
},
"method": "GET",
"params": {
"format": "application/ld+json"
},
"skip_unchanged": true,
"url": "https://data.europarl.europa.eu/api/v2/meps/197652"
},
{
"__type__": "Request",
"conditional": true,
"headers": null,
"json": null,
"kind": "declarations",
"meta": {
"mep_id": "197652",
"name": "Angelika Winzig"
},
"method": "GET",
"params": {
"format": "application/ld+json",
"limit": 100,
"person-id": "197652"
},
"skip_unchanged": true,
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backend/tests/fixtures/justiz.wksta/release.expected.json
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[
{
"__type__": "Document",
"evidence": {
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"confidence": 1.0,
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"excerpt": "Anklage gegen einen Immobilienunternehmer, eine Mitarbeiterin und drei Verbände Vorwurf der Hinterziehung von Grunderwerbsteuer durch Unterbewertung von Liegenschaften Der mutmaßliche Schaden für die Republik Österreich beläuft sich auf rund 620.000 Euro. Presseinformation, 04.09.2026 Die…",
"full_text": "Verfahrenskomplex Gemeinnützige Bauvereinigungen: Anklage wegen Abgabenhinterziehung bei Grunderwerbsteuer eingebracht\nAnklage gegen einen Immobilienunternehmer, eine Mitarbeiterin und drei\nVerbände\nVorwurf der Hinterziehung\nvon Grunderwerbsteuer durch Unterbewertung von Liegenschaften\nDer\nmutmaßliche Schaden für die Republik Österreich beläuft sich auf rund 620.000\nEuro.\nPresseinformation, 04.09.2026\nDie\nWirtschafts- und Korruptionsstaatsanwaltschaft (WKStA) hat beim Landesgericht\nfür Strafsachen Wien Anklage gegen zwei Personen und drei Verbände eingebracht.\nDie Anklage wirft einem im Immobiliensektor\ntätigen Unternehmer sowie einer Mitarbeiterin das Finanzvergehen der\nAbgabenhinterziehung (§ 33 Abs 1 FinStrG) vor. Zudem wird die Verhängung einer\nVerbandsgeldbuße gegen drei Gesellschaften beantragt.\nDie Tatvorwürfe\nim Detail\nDie Anklage\nbetrifft ausschließlich die Hinterziehung von Grunderwerbsteuer. Dem\nUnternehmer und seiner Mitarbeiterin wird vorgeworfen, im Jahr 2015 beim\nVerkauf von fünf Wiener Wohnliegenschaften fremdunübliche Kaufpreise von\ninsgesamt rund 7,27 Millionen Euro ausgewiesen zu haben, obwohl vorab mit einem\nDritten bereits ein tatsächlicher Gesamtverkaufspreis von 25 Millionen Euro\nvereinbart worden war. Durch das Verschweigen des wahren Werts der\nLiegenschaften gegenüber dem Finanzamt soll die Grunderwerbsteuer bewusst\nverkürzt worden sein. Statt der tatsächlich geschuldeten Grunderwerbsteuer von\nrund 875.000 Euro sollen lediglich rund 255.000 Euro entrichtet worden sein. Die\nHöhe der Steuerhinterziehung soll sich somit auf rund 620.000 Euro belaufen.\nDa die Straftat\nzu Gunsten der an dem Verkauf beteiligten Gesellschaften begangen worden sein\nsoll, beantragt die WKStA nach dem Verbandsverantwortlichkeitsgesetz (VbVG) die\nVerhängung von Verbandsgeldbußen gegen drei Gesellschaften aus der\nUnternehmensgruppe des angeklagten Immobilienunternehmers.\nDer Strafrahmen bei Abgabenhinterziehung beträgt im vorliegenden Fall eine Geldstrafe bis zum Zweifachen des Verkürzungsbetrags. Neben der Geldstrafe ist eine Freiheitsstrafe bis zu zwei Jahren möglich.\nDie Anklage erfolgte nach Genehmigung eines entsprechenden\nVorhabensberichts durch die Oberstaatsanwaltschaft Wien und das\nBundesministerium für Justiz nach Befassung des Weisungsrats.\nRückfragen & Kontakt\nWirtschafts- und Korruptionsstaatsanwaltschaft Medienstelle +43 676 8989 23115 medienstelle.wksta@justiz.gv.at www.justiz.gv.at/wksta\npdf Presseinformation Verfahrenskomplex Gemeinnützige Bauvereinigungen.pdf\n\t\t\t\t\t(483 KB, Stand: 04.09.2026)",
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"stance": "supports",
"title": "Verfahrenskomplex Gemeinnützige Bauvereinigungen: Anklage wegen Abgabenhinterziehung bei Grunderwerbsteuer eingebracht",
"url": "https://www.justiz.gv.at/wksta/wirtschafts-und-korruptionsstaatsanwaltschaft/medienstelle/pressemitteilungen/pressemitteilungen-2026/verfahrenskomplex-gemeinnuetzige-bauvereinigungen-anklage-wegen-abgabenhinterziehung-bei-grunderwerbsteuer-eingebracht.133a.de.html"
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]
backend/tests/fixtures/justiz.wksta/release.html
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<h1>
Verfahrenskomplex Gemeinnützige Bauvereinigungen: Anklage wegen Abgabenhinterziehung bei Grunderwerbsteuer eingebracht
</h1>
<div style="margin:10px 0;font-weight:bold">
</div>
<div class="content-modules" id="content-modules-fb88e0b51b11b04596b77a9faeb10e1f" style="opacity:0;transition:opacity .2s">
<div style="margin-bottom: 10px;" id="module-cm_rtf_default" class="module module-cm_rtf first-child odd-child"><div class="rtf">
<p></p><ul class="hauptpunkte"><li>Anklage gegen einen Immobilienunternehmer, eine Mitarbeiterin und drei
Verbände</li><li>Vorwurf der Hinterziehung
von Grunderwerbsteuer durch Unterbewertung von Liegenschaften</li><li>Der
mutmaßliche Schaden für die Republik Österreich beläuft sich auf rund 620.000
Euro.</li></ul><p></p>
<p>Presseinformation, 04.09.2026</p><p>Die
Wirtschafts- und Korruptionsstaatsanwaltschaft (WKStA) hat beim Landesgericht
für Strafsachen Wien Anklage gegen zwei Personen und drei Verbände eingebracht.
Die Anklage wirft einem im Immobiliensektor
tätigen Unternehmer sowie einer Mitarbeiterin das Finanzvergehen der
Abgabenhinterziehung (§ 33 Abs 1 FinStrG) vor. Zudem wird die Verhängung einer
Verbandsgeldbuße gegen drei Gesellschaften beantragt.</p>
<p><span style="font-weight: bold;">Die Tatvorwürfe
im Detail </span></p>
<p>Die Anklage
betrifft ausschließlich die Hinterziehung von Grunderwerbsteuer. Dem
Unternehmer und seiner Mitarbeiterin wird vorgeworfen, im Jahr 2015 beim
Verkauf von fünf Wiener Wohnliegenschaften fremdunübliche Kaufpreise von
insgesamt rund 7,27 Millionen Euro ausgewiesen zu haben, obwohl vorab mit einem
Dritten bereits ein tatsächlicher Gesamtverkaufspreis von 25 Millionen Euro
vereinbart worden war. Durch das Verschweigen des wahren Werts der
Liegenschaften gegenüber dem Finanzamt soll die Grunderwerbsteuer bewusst
verkürzt worden sein. Statt der tatsächlich geschuldeten Grunderwerbsteuer von
rund 875.000 Euro sollen lediglich rund 255.000 Euro entrichtet worden sein. Die
Höhe der Steuerhinterziehung soll sich somit auf rund 620.000 Euro belaufen.
</p>
<p>Da die Straftat
zu Gunsten der an dem Verkauf beteiligten Gesellschaften begangen worden sein
soll, beantragt die WKStA nach dem Verbandsverantwortlichkeitsgesetz (VbVG) die
Verhängung von Verbandsgeldbußen gegen drei Gesellschaften aus der
Unternehmensgruppe des angeklagten Immobilienunternehmers.&nbsp;</p><p>Der Strafrahmen bei Abgabenhinterziehung beträgt im vorliegenden Fall eine Geldstrafe bis zum Zweifachen des Verkürzungsbetrags. Neben der Geldstrafe ist eine Freiheitsstrafe bis zu zwei Jahren möglich.</p>
<p>Die Anklage erfolgte nach Genehmigung eines entsprechenden
Vorhabensberichts durch die Oberstaatsanwaltschaft Wien und das
Bundesministerium für Justiz nach Befassung des Weisungsrats.</p><p>
</p><p>Rückfragen &amp; Kontakt</p><p>Wirtschafts- und Korruptionsstaatsanwaltschaft<br>Medienstelle<br>+43 676 8989 23115<br>medienstelle.wksta@justiz.gv.at<br><a href="http://www.justiz.gv.at/wksta" data-wga-urlinfo="exturl|http://www.justiz.gv.at/wksta" data-target="default" target="_blank" class="wga-urltype-exturl">www.justiz.gv.at/wksta</a></p>
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backend/tests/fixtures/justiz.wksta/release.request.json
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backend/tests/fixtures/parlament.items/immunity.expected.json
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backend/tests/fixtures/parlament.items/immunity.json
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{
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backend/tests/fixtures/parlament.items/immunity.request.json
Vendored
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{
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backend/tests/fixtures/parlament.items/votes.expected.json
Vendored
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backend/tests/fixtures/parlament.items/votes.json
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{
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},
{
"date": "30.09.2025",
"text": "Justizausschuss: Bericht <a href=\"/gegenstand/XXVIII/I/215\">215 d.B.</a>",
"priority": 1
}
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{
"title": "Berichterstattung",
"documents": [
{
"link": "/dokument/XXVIII/I/215/fname_1714130.pdf",
"type": "PDF"
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{
"link": "/dokument/XXVIII/I/215/fnameorig_1714130.html",
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}
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{
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},
{
"link": "/dokument/XXVIII/I/215/fnameorig_1714131.html",
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}
]
},
{
"title": "Anhang IV",
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{
"link": "/dokument/XXVIII/I/215/imfname_1714132.pdf",
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}
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},
{
"name": "Plenarberatungen NR",
"id": 4,
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{
"date": "15.10.2025",
"text": "Beschluss im Nationalrat <a href=\"/gegenstand/XXVIII/BNR/75\">75/BNR</a>",
"priority": 1
},
{
"date": "15.10.2025",
"text": "Auf der <a href=\"/dokument/XXVIII/NRSITZ/44/TO_16447534.html\">Tagesordnung</a> der <a href=\"/gegenstand/XXVIII/NRSITZ/44\">44. Sitzung des Nationalrates</a>"
},
{
"date": "15.10.2025",
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"fund_von": null,
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"text": "RN/159"
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],
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"url": "/aktuelles/mediathek/XXVIII/NRSITZ/44?DEBATTE=10&TS=1760551695"
}
]
]
}
}
},
{
"date": "15.10.2025",
"text": "44. Sitzung des Nationalrates: Gesetzesvorschlag in zweiter Lesung <b>angenommen</b><br>Dafür: ÖVP, SPÖ, NEOS, GRÜNE, dagegen: FPÖ",
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{
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"fund_von": null,
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"url": "/dokument/XXVIII/NRSITZ/44/fnameorig_1764795.html#160",
"title": "18:19:51 - Abstimmung - TOP 11 EU-weite Zusammenarbeit von Strafrechtsbehörden (RN/160)",
"text": "RN/160"
}
]
},
{
"date": "15.10.2025",
"text": "44. Sitzung des Nationalrates: Gesetzesvorschlag in dritter Lesung <b>angenommen</b><br>Dafür: ÖVP, SPÖ, NEOS, GRÜNE, dagegen: FPÖ",
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"fund_von": null,
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"title": "18:19:51 - Abstimmung - TOP 11 EU-weite Zusammenarbeit von Strafrechtsbehörden (RN/160)",
"text": "RN/160"
}
]
},
{
"date": "16.10.2025",
"text": "Übermittlung des Beschlusses an den Bundesrat"
}
],
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"title": "Gesetzestext ",
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"link": "/dokument/XXVIII/BNR/75/fname_1717036.pdf",
"type": "PDF"
},
{
"link": "/dokument/XXVIII/BNR/75/fnameorig_1717036.html",
"type": "HTML"
}
]
},
{
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"documents": [
{
"link": "/dokument/XXVIII/BNR/75/fname_1717037.pdf",
"type": "PDF"
},
{
"link": "/dokument/XXVIII/BNR/75/fnameorig_1717037.html",
"type": "HTML"
}
]
},
{
"title": "Anhang IV",
"documents": [
{
"link": "/dokument/XXVIII/BNR/75/imfname_1717038.pdf",
"type": "PDF"
}
]
},
{
"title": "Beschlussformel BR",
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{
"link": "/dokument/XXVIII/BNR/75/fname_1718880.pdf",
"type": "PDF"
},
{
"link": "/dokument/XXVIII/BNR/75/fnameorig_1718880.html",
"type": "HTML"
}
]
}
],
"correspondence": [
{
"additional": false,
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],
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"code": "F",
"color": "#0052FB",
"fraction": 57,
"infavor": false
},
{
"text": "ÖVP",
"code": "V",
"color": "#62C3D0",
"fraction": 51,
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},
{
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"code": "S",
"color": "#FF0000",
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},
{
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"fraction": 18,
"infavor": true
},
{
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"code": "G",
"color": "#69B12E",
"fraction": 16,
"infavor": true
}
],
"infavor": true,
"code": "fVSNG",
"text": "Dafür: V, S, N, G, Dagegen: F",
"comment": null
}
},
{
"name": "Einlangen BR",
"id": 5,
"stages": [
{
"date": "16.10.2025",
"text": "Einlangen im Bundesrat (Frist: 11.12.2025)"
},
{
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"text": "Mitwirkungsrecht des Bundesrates",
"priority": 1
}
],
"documents": []
},
{
"name": "Ausschussberatungen BR",
"id": 6,
"stages": [
{
"date": "16.10.2025",
"text": "Zuweisung an den <a href=\"/ausschuss/BR/A-JU-BR/1/00114\">Justizausschuss des Bundesrates</a>"
},
{
"date": "21.10.2025",
"text": "Justizausschuss des Bundesrates: Bericht <a href=\"/gegenstand/BR/I-BR/11706\">11706/BR d.B.</a>",
"priority": 1
},
{
"date": "21.10.2025",
"text": "Justizausschuss des Bundesrates: auf <a href=\"/dokument/BR/A-JU-BR/1/00114/TO_16692645.html\">Tagesordnung</a> in der <a href=\"/ausschuss/BR/A-JU-BR/1/00114?selectedStage=105&selectedSession=3&selectedDate=21102025\">3. Sitzung des Ausschusses</a>"
}
],
"documents": [
{
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"documents": [
{
"link": "/dokument/BR/I-BR/11706/fname_1718231.pdf",
"type": "PDF"
},
{
"link": "/dokument/BR/I-BR/11706/fnameorig_1718231.html",
"type": "HTML"
}
]
}
]
},
{
"name": "Plenarberatungen BR",
"id": 7,
"stages": [
{
"date": "23.10.2025",
"text": "Auf der Tagesordnung der <a href=\"/gegenstand/BR/BRSITZ/982\">982. Sitzung</a>"
},
{
"date": "23.10.2025",
"text": "982. Sitzung: Berichterstattung durch die Bundesrätin <a href=\"/person/33455\" target=\"_blank\">Verena Schweiger, BA MA MA</a>",
"fsth": [
{
"gp_code": "BR",
"sitzung_id": 982,
"fund_von": null,
"fund_bis": null,
"url": "/dokument/BR/BRSITZ/982/fnameorig_1768518.html#44",
"title": "13:38:02 - Berichterstatterin Verena Schweiger - TOP 4 EU-weite Zusammenarbeit von Strafrechtsbehörden (RN/44)",
"text": "RN/44"
}
]
},
{
"date": "23.10.2025",
"text": "982. Sitzung: Antrag, keinen Einspruch zu erheben, <b>angenommen</b><br>Dafür: ÖVP, SPÖ, GRÜNE, NEOS, dagegen: FPÖ",
"fsth": [
{
"gp_code": "BR",
"sitzung_id": 982,
"fund_von": null,
"fund_bis": null,
"url": "/dokument/BR/BRSITZ/982/fnameorig_1768518.html#45",
"title": "13:38:57 - Abstimmung - TOP 4 EU-weite Zusammenarbeit von Strafrechtsbehörden (RN/45)",
"text": "RN/45"
}
]
},
{
"date": "23.10.2025",
"text": "Beschluss im Bundesrat <a href=\"/gegenstand/XXVIII/BNR/75\">75/BNR</a>",
"priority": 1
}
],
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{
"title": "Gesetzestext ",
"documents": [
{
"link": "/dokument/XXVIII/BNR/75/fname_1717036.pdf",
"type": "PDF"
},
{
"link": "/dokument/XXVIII/BNR/75/fnameorig_1717036.html",
"type": "HTML"
}
]
},
{
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"type": "PDF"
},
{
"link": "/dokument/XXVIII/BNR/75/fnameorig_1717037.html",
"type": "HTML"
}
]
},
{
"title": "Anhang IV",
"documents": [
{
"link": "/dokument/XXVIII/BNR/75/imfname_1717038.pdf",
"type": "PDF"
}
]
},
{
"title": "Beschlussformel BR",
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},
{
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"type": "HTML"
}
]
}
],
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{
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}
]
}
],
"documents": [
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"documents": [
{
"link": "/dokument/XXVIII/A/416/imfname_1712055.pdf",
"type": "PDF"
}
]
},
{
"title": "Initiativantrag (elektr. übermittelte Version)",
"documents": [
{
"link": "/dokument/XXVIII/A/416/fname_1712698.pdf",
"type": "PDF"
},
{
"link": "/dokument/XXVIII/A/416/fnameorig_1712698.html",
"type": "HTML"
}
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},
{
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}
]
},
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"type": "PDF"
}
]
}
],
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"url": "/person/72999",
"portrait": {
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},
{
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"url": "/person/2339",
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}
}
},
{
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"portrait": null
}
],
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"title": "Neu im Justizausschuss",
"date": "25.09.2025",
"url": "/aktuelles/pk/jahr_2025/pk0800#XXVIII_A_00416"
},
{
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},
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"date": "15.10.2025",
"url": "/aktuelles/pk/jahr_2025/pk0900#XXVIII_A_00416"
},
{
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"date": "23.10.2025",
"url": "/aktuelles/pk/jahr_2025/pk0953#XXVIII_A_00416"
}
],
"vote": {
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{
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"code": "F",
"color": "#0052FB",
"fraction": 57,
"infavor": false
},
{
"text": "ÖVP",
"code": "V",
"color": "#62C3D0",
"fraction": 51,
"infavor": true
},
{
"text": "SPÖ",
"code": "S",
"color": "#FF0000",
"fraction": 41,
"infavor": true
},
{
"text": "NEOS",
"code": "N",
"color": "#E3257B",
"fraction": 18,
"infavor": true
},
{
"text": "GRÜNE",
"code": "G",
"color": "#69B12E",
"fraction": 16,
"infavor": true
}
],
"infavor": true,
"code": "fVSNG",
"text": "Dafür: V, S, N, G, Dagegen: F",
"comment": null
},
"topics": {
"rendertype": "bubbles",
"data": {
"title": "",
"bubbles": [
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"label": "Europäische Union",
"link": "/suche?thema=Europäische Union"
},
{
"label": "Inneres und Recht",
"link": "/suche?thema=Inneres und Recht"
}
],
"pretext": null,
"subtitle": null
}
},
"headwords": {
"rendertype": "bubbles",
"data": {
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"bubbles": [
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"link": "/recherchieren/gegenstaende/?NRBR=NR&GP_CODE=XXVIII&SW=Strafrecht"
},
{
"label": "Europäische Integration",
"link": "/recherchieren/gegenstaende/?NRBR=NR&GP_CODE=XXVIII&SW=Europäische Integration"
},
{
"label": "Rechtspflege",
"link": "/recherchieren/gegenstaende/?NRBR=NR&GP_CODE=XXVIII&SW=Rechtspflege"
}
],
"pretext": null,
"subtitle": null
}
},
"eurovoc": {
"rendertype": "bubbles",
"data": {
"title": "",
"bubbles": [
{
"label": "Europäische Union",
"link": "/recherchieren/gegenstaende/?NRBR=NR&GP_CODE=XXVIII&EUROVOC=Europäische Union"
},
{
"label": "Gerichtswesen",
"link": "/recherchieren/gegenstaende/?NRBR=NR&GP_CODE=XXVIII&EUROVOC=Gerichtswesen"
},
{
"label": "Strafrecht",
"link": "/recherchieren/gegenstaende/?NRBR=NR&GP_CODE=XXVIII&EUROVOC=Strafrecht"
}
],
"pretext": null,
"subtitle": null
}
}
}
}
backend/tests/fixtures/parlament.items/votes.request.json
Vendored
+15
View File
@@ -0,0 +1,15 @@
{
"url": "https://www.parlament.gv.at/gegenstand/XXVIII/A/416",
"kind": "votes",
"method": "GET",
"params": {
"json": "TRUE"
},
"json": null,
"meta": {
"ref": "416/A",
"title": "Strafrechtliches EU-Anpassungsgesetz 2025 – StrEU-AG 2025 (ÖVP, SPÖ, NEOS)"
},
"content_type": "application/json",
"body_file": "votes.json"
}
backend/tests/fixtures/parlament.persons/person_detail.expected.json
Vendored
+681
View File
@@ -0,0 +1,681 @@
[
{
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"aliases": [],
"birth_date": null,
"death_date": null,
"family_name": null,
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"gender": null,
"given_name": null,
"honorific_prefix": null,
"honorific_suffix": null,
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"hints": {},
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},
"name": null
}
},
{
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"handle": null,
"org": null,
"person": {
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"hints": {},
"ids": {
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},
"name": null
},
"platform": "website",
"url": "https://www.tanjagraf.at/",
"verified": true
},
{
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"handle": null,
"org": null,
"person": {
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"hints": {},
"ids": {
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},
"name": null
},
"platform": "facebook",
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"verified": true
},
{
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"handle": null,
"org": null,
"person": {
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"hints": {},
"ids": {
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},
"name": null
},
"platform": "instagram",
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},
{
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"claim_type": "role",
"counterpart_org": null,
"counterpart_person": null,
"data": {},
"evidence": [
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"meta": {},
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"quote": null,
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"title": "Parlament: Tanja Graf",
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}
],
"facet": {
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},
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},
"kind": "company",
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"slug": null
},
"counterpart_person": null,
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],
"employer": "25 PersonaldienstleistungsgesmbH",
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},
"evidence": [
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"doc_type": "register_entry",
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"full_text": null,
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"meta": {},
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"source": null,
"stance": "supports",
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backend/tests/fixtures/parlament.persons/person_detail.json
Vendored
+547
View File
@@ -0,0 +1,547 @@
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"verantwortlich": "mandatar",
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{
"url": "https://www.tanjagraf.at/",
"name": "Website von Tanja Graf",
"type": "WEBSITE"
},
{
"url": "https://www.facebook.com/tanjagraf.salzburg/",
"name": "Facebook von Tanja Graf",
"type": "FACEBOOK"
},
{
"url": "https://www.instagram.com/tanjagraf_official/",
"name": "Instagram von Tanja Graf",
"type": "INSTAGRAM"
}
],
"mail": [
"tanja.graf@parlament.gv.at"
],
"telefonnr": [
"+43 1 401 10-4664"
],
"anschrift": [
"Parlamentsklub der Österreichischen Volkspartei<br>Dr.-Karl-Renner-Ring 3<br>1017 Wien"
],
"disclaimer": "Für Richtigkeit und Umfang der Kontaktdaten verantwortlich: Tanja Graf",
"parentid": "biografietabs",
"tabid": "KONTAKT"
},
"ausschuss": {
"parentid": "biografietabs",
"tabid": "AUS",
"filter": {
"rendertype": "filter",
"data": {
"resultLayout": "TABLE",
"hasForm": true,
"hasList": true,
"label": "Ausschuesse",
"pagesize": 20,
"definition": {
"bez": "AUSSCHUSS_BIO_250",
"listeId": 250,
"params": {},
"fixedParams": {
"PAD_INTERN": [
1977
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},
"hideDimensions": [
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"sortrnr": 14,
"ascDesc": "DESC"
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"type": "MONGODB"
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"filter": {
"rendertype": "filter",
"data": {
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"parentid": "biografietabs",
"tabid": "PLENUM"
},
"unvtrans": {
"einleitung": "Hier finden Sie die von Mitgliedern des Nationalrates bzw. des Bundesrates nach § 6 Unvereinbarkeits- und Transparenz-Gesetz in Verbindung mit § 9 Bundesverfassungsgesetz über die Begrenzung von Bezügen öffentlicher Funktionäre zu veröffentlichenden leitenden Stellungen in AGs, GmbHs, Stiftungen und Sparkassen, sonstigen Tätigkeiten mit Vermögensvorteilen, leitenden ehrenamtlichen Tätigkeiten und jährlichen Einkommenskategorien.",
"header": "Liste gemäß § 9 BezBegrBVG - Abgeordnete Tanja Graf",
"linkliste": [
{
"title": "Druckversion - Liste Tanja Graf:",
"documents": [
{
"link": "/dokument/unvtrans/person/1977/BezBegrBVGPar9.pdf",
"type": "PDF"
}
]
},
{
"title": "Gesamtliste gemäß § 9 BezBegrBVG - Nationalrat:",
"documents": [
{
"link": "/person/unvtrans/BezBegrBVGPar9-NR.html",
"type": "HTML"
},
{
"link": "/dokument/unvtrans/BezBegrBVGPar9-NR.pdf",
"type": "PDF"
}
]
},
{
"title": "Informationen zur Liste gemäß § 9 BezBegrBVG (Unv-Transparenz):",
"documents": [
{
"link": "/verstehen/nationalrat/rechtsgrundlagen/UTrag/index.html",
"type": "HTML"
}
]
}
],
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"z1Erklaerlink": "/verstehen/nationalrat/rechtsgrundlagen/UTrag/index.html#leitende_stellungen",
"z1Zusatztext": "(Werden aus einer Tätigkeit keine Vermögensvorteile erzielt, wird dies durch * gekennzeichnet)",
"z1Table": {
"rendertype": "table",
"data": {
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"rows": [
[
"25 PersonaldienstleistungsgesmbHFranz Josef Kai 95020 Salzburg FN306527a",
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]
]
}
},
"z2Header": "Sonstige Tätigkeiten, aus denen Vermögensvorteile erzielt werden - § 6 Abs. 2 Z 2",
"z2Erklaerlink": "/verstehen/nationalrat/rechtsgrundlagen/UTrag/index.html#sonstige_tatigkeiten",
"z2Table": {
"rendertype": "table",
"data": {
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"additionalInfo": false
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"sortable": false,
"filterable": false,
"hidden": false,
"additionalInfo": false
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],
[
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"Generalsekretärin (ab 14.01.2026)"
]
]
}
},
"z3Header": "Leitende ehrenamtliche Tätigkeiten (keine Vermögensvorteile) - § 6 Abs. 2 Z 3",
"z3Erklaerlink": "/verstehen/nationalrat/rechtsgrundlagen/UTrag/index.html#(weitere)_leitende_ehrenamtliche_tatigkeiten",
"z3Table": {
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],
[
"Wirtschaftskammer Österreich",
"Bundesvorsitzender - Stellvertreterin der Arbeitskräfteüberlasser"
],
[
"Wirtschaftskammer Salzburg, Bezirksstelle Tennengau",
"Mitglied im Bezirksstellenausschuss (bis 31.01.2026)"
]
]
}
},
"einkHeader": "Einkommenskategorie - § 6 Abs. 4 und 5",
"einkErklaerlink": "/verstehen/nationalrat/rechtsgrundlagen/UTrag/index.html#einkommenskategorie",
"einkTable": {
"rendertype": "table",
"data": {
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{
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],
"rows": [
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2024,
"4&nbsp; (von 8.001 bis 12.000 Euro)"
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[
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],
[
2026,
"Meldefrist endet am 30.06.2027"
]
]
}
}
},
"parentid": "biografietabs",
"tabid": "UNVTRANS"
},
"akt": {
"parentid": "biografietabs",
"tabid": "AKT",
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"rendertype": "filter",
"data": {
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"params": {},
"fixedParams": {
"PAD_INTERN": [
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},
"hideDimensions": [
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"sortrnr": 9,
"ascDesc": "DESC"
}
}
}
}
}
}
backend/tests/fixtures/parlament.persons/person_detail.request.json
Vendored
+15
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@@ -0,0 +1,15 @@
{
"url": "https://www.parlament.gv.at/person/1977",
"kind": "person",
"method": "GET",
"params": {
"json": "TRUE"
},
"json": null,
"meta": {
"pad": "1977",
"name": "Tanja Graf"
},
"content_type": "application/json",
"body_file": "person_detail.json"
}
backend/tests/fixtures/parlament.press/release.expected.json
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@@ -0,0 +1,27 @@
[
{
"__type__": "Document",
"evidence": {
"__type__": "Evidence",
"confidence": 1.0,
"doc_type": "press_release",
"excerpt": "Freiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe",
"full_text": "<a href=\"/aktuelles/pk/jahr_2026/pk1010\">Neu im Wirtschaftsausschuss</a><div class=\"pksub\">Freiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe</div>\nFreiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe\nWien (PK) – Nach einem Bericht der Bundeswettbewerbsbehörde zum Fernwärmemarkt in Österreich fordern sowohl die Freiheitlichen als auch die Grünen die Umsetzung der darin enthaltenen Empfehlungen. Weiters drängt die FPÖ auf die Senkung der Elektrizitätsabgabe im Sinne der Haushalte und der Wirtschaft. FPÖ fordert Maßnahmen zum Schutz der Fernwärmekunden Die Fernwärme sei das meist genutzte Heizsystem, dennoch unterliege der Sektor keiner Regulierung, zeigt FPÖ-Mandatar Paul Hammerl in einem Entschließungsantrag auf ( 1101/A(E) ). Die Kundinnen und Kunden hätten dies über die stark gestiegenen Preise in den vergangenen Jahren \"teuer bezahlt\". Da der Wettbewerb als Korrektiv fehle, brauche es klare Regeln. Hammerl fordert daher die \"rasche und vollständige\" Umsetzung der Empfehlungen aus der Branchenuntersuchung der Bundeswettbewerbsbehörde zum Thema Fernwärme. So soll der FPÖ nach etwa ein bundeseinheitlicher und vereinfachter Rechtsrahmen mit Mindestrechten und mehr Transparenz für Kundinnen und Kunden sowie mit klaren Rechten und Pflichten für alle Beteiligten bis hin zu Contractoren und Messdienstleistern geschaffen werden. Weiters sollen Preisänderungen nur anhand weniger, unabhängig berechneter Indizes erfolgen und zudem eine Schlichtungsstelle geschaffen werden. Schließlich müsse sich Fernwärme im Wettbewerb mit anderen Heizsystemen, aber nicht durch Zwang durchsetzen, fordert Hammerl. Grüne: Mehr Transparenz, Kontrolle und Konsumentenschutz im Fernwärmemarkt Immer mehr Haushalte werden mit Fernwärme versorgt, zuletzt hätten sich aber Beschwerden über hohe Preise, nicht nachvollziehbare Vorschreibungen sowie schwer verständliche Preisanpassungsklauseln gehäuft, thematisiert Lukas Hammer (Grüne) in einem Entschließungsantrag ( 1092/A(E) ). Im Rahmen einer Branchenuntersuchung ist die Bundeswettbewerbsbehörde (BWB) diesen Themen nachgegangen. Dabei seien zwar keine Hinweise auf missbräuchliche Preiserhöhungen gefunden worden, es sei aber etwa die mangelnde Transparenz, wie schwer durchschaubare Verträge und Rechnungen, bemängelt worden. Anders als bei Strom und Gas fehle ein einheitlicher Rechtsrahmen und eine zentrale Schlichtungsstelle. Hammer fordert nun, dass die Empfehlungen der BWB in den Bereichen Wettbewerb, Kontrolle und rechtliche Rahmenbedingungen geprüft werden sollen. Infolge sollen insbesondere jene Maßnahmen umgesetzt werden, die einen Beitrag zu Leistbarkeit, Transparenz und zur Klimaneutralität leisten. FPÖ für Senkung der Elektrizitätsabgabe zur Entlastung von Industrie und Bevölkerung Die hohen Energiekosten würden die Bürgerinnen und Bürger sowie die Wirtschaft massiv unter Druck setzen, kritisiert Paul Hammerl (FPÖ) in einem Entschließungsantrag ( 1102/A(E) ). Für zahlreiche Betriebe - allen voran in der energieintensiven Industrie – würden die Energiepreise mittlerweile darüber entscheiden, ob in Österreich noch investiert und produziert wird oder ob Wertschöpfung ins Ausland abwandert. So seien in den letzten drei Jahren über 30.000 Industriearbeitsplätze in Österreich verloren gegangen. Ein wesentlicher Hebel zur Senkung der Energiekosten seien die Steuern und Abgaben auf Energie. Die Elektrizitätsabgabe sei zwar für 2026 gesenkt worden, diese Regelung laufe aber Ende des Jahres aus. Die Freiheitlichen fordern daher, dass die Elektrizitätsabgabe unbefristet auf das unionsrechtlich zulässige Mindestmaß gesenkt wird – für Haushalte auf 0,1 Cent je kWh für die Lieferung von elektrischer Energie an Haushalte und für alle sonstigen Lieferungen und den Verbrauch von elektrischer Energie insbesondere durch Unternehmen auf 0,05 Cent je kWh. (Schluss) pst",
"locator": "",
"meta": {
"person_pads": [],
"pk_number": "PK1010",
"topics": [
"Wirtschaft",
"Klima, Umwelt und Energie"
]
},
"published_at": "2026-10-23",
"quote": null,
"source": null,
"stance": "supports",
"title": "<a href=\"/aktuelles/pk/jahr_2026/pk1010\">Neu im Wirtschaftsausschuss</a><div class=\"pksub\">Freiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe</div>",
"url": "https://www.parlament.gv.at/aktuelles/pk/jahr_2026/pk1010"
}
}
]
backend/tests/fixtures/parlament.press/release.json
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{
"meta": {
"description": "Neu im Wirtschaftsausschuss (PK1010/23.10.2026)",
"generationTime": "Fri Oct 23 07:04:19 GMT 2026",
"directory": [
{
"title": "Start",
"url": "/"
},
{
"title": "Aktuelles",
"url": "/aktuelles/"
},
{
"title": "Parlamentskorrespondenz",
"url": "/aktuelles/pk/"
}
],
"keywords": "\"Anträge\", \"Energie\", \"Fernwärme\", \"Nationalrat\", \"Steuern\", \"Umwelt\", \"Wirtschaft\"",
"lang": "de",
"title": "Neu im Wirtschaftsausschuss (PK1010/23.10.2026) | Parlament Österreich",
"openGraph": {
"image": "https://www.parlament.gv.at/static/img/og.png",
"title": "Neu im Wirtschaftsausschuss (PK1010/23.10.2026) | Parlament Österreich"
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"scripts": [],
"styles": [],
"headingStyle": "ARTICLE"
},
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"content": [
{
"rendertype": "headingbox",
"label": "Parlamentskorrespondenz Nr. 1010 vom 23.10.2026",
"data": {
"title": "Neu im Wirtschaftsausschuss",
"text": "Freiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe",
"titleLabel": "Parlamentskorrespondenz Nr. 1010 vom 23.10.2026",
"ebene": 1
}
},
{
"data": {
"text": "<div class=pk ><div class=\"c_2\"><p>Wien (PK) &#8211; Nach einem Bericht der Bundeswettbewerbsbeh&ouml;rde zum Fernw&auml;rmemarkt in &Ouml;sterreich fordern sowohl die Freiheitlichen als auch die Gr&uuml;nen die Umsetzung der darin enthaltenen Empfehlungen. Weiters dr&auml;ngt die FP&Ouml; auf die Senkung der Elektrizit&auml;tsabgabe im Sinne der Haushalte und der Wirtschaft.</p><a id=\"XXVIII_A_01101\"></a><h2>FP&Ouml; fordert Ma&szlig;nahmen zum Schutz der Fernw&auml;rmekunden </h2><p>Die Fernw&auml;rme sei das meist genutzte Heizsystem, dennoch unterliege der Sektor keiner Regulierung, zeigt FP&Ouml;-Mandatar Paul Hammerl in einem Entschlie&szlig;ungsantrag auf (<a href=\"/gegenstand/XXVIII/A/1101\">1101/A(E)</a>). Die Kundinnen und Kunden h&auml;tten dies &uuml;ber die stark gestiegenen Preise in den vergangenen Jahren &quot;teuer bezahlt&quot;. Da der Wettbewerb als Korrektiv fehle, brauche es klare Regeln. Hammerl fordert daher die &quot;rasche und vollst&auml;ndige&quot; Umsetzung der Empfehlungen aus der Branchenuntersuchung der Bundeswettbewerbsbeh&ouml;rde zum Thema Fernw&auml;rme. So soll der FP&Ouml; nach etwa ein bundeseinheitlicher und vereinfachter Rechtsrahmen mit Mindestrechten und mehr Transparenz f&uuml;r Kundinnen und Kunden sowie mit klaren Rechten und Pflichten f&uuml;r alle Beteiligten bis hin zu Contractoren und Messdienstleistern geschaffen werden. Weiters sollen Preis&auml;nderungen nur anhand weniger, unabh&auml;ngig berechneter Indizes erfolgen und zudem eine Schlichtungsstelle geschaffen werden. Schlie&szlig;lich m&uuml;sse sich Fernw&auml;rme im Wettbewerb mit anderen Heizsystemen, aber nicht durch Zwang durchsetzen, fordert Hammerl.</p><a id=\"XXVIII_A_01092\"></a><h2>Gr&uuml;ne: Mehr Transparenz, Kontrolle und Konsumentenschutz im Fernw&auml;rmemarkt</h2><p>Immer mehr Haushalte werden mit Fernw&auml;rme versorgt, zuletzt h&auml;tten sich aber Beschwerden &uuml;ber hohe Preise, nicht nachvollziehbare Vorschreibungen sowie schwer verst&auml;ndliche Preisanpassungsklauseln geh&auml;uft, thematisiert Lukas Hammer (Gr&uuml;ne) in einem Entschlie&szlig;ungsantrag (<a href=\"/gegenstand/XXVIII/A/1092\">1092/A(E)</a>). Im Rahmen einer Branchenuntersuchung ist die Bundeswettbewerbsbeh&ouml;rde (BWB) diesen Themen nachgegangen. Dabei seien zwar keine Hinweise auf missbr&auml;uchliche Preiserh&ouml;hungen gefunden worden, es sei aber etwa die mangelnde Transparenz, wie schwer durchschaubare Vertr&auml;ge und Rechnungen, bem&auml;ngelt worden. Anders als bei Strom und Gas fehle ein einheitlicher Rechtsrahmen und eine zentrale Schlichtungsstelle. Hammer fordert nun, dass die Empfehlungen der BWB in den Bereichen Wettbewerb, Kontrolle und rechtliche Rahmenbedingungen gepr&uuml;ft werden sollen. Infolge sollen insbesondere jene Ma&szlig;nahmen umgesetzt werden, die einen Beitrag zu Leistbarkeit, Transparenz und zur Klimaneutralit&auml;t leisten.</p><a id=\"XXVIII_A_01102\"></a><h2>FP&Ouml; f&uuml;r Senkung der Elektrizit&auml;tsabgabe zur Entlastung von Industrie und Bev&ouml;lkerung </h2><p>Die hohen Energiekosten w&uuml;rden die B&uuml;rgerinnen und B&uuml;rger sowie die Wirtschaft massiv unter Druck setzen, kritisiert Paul Hammerl (FP&Ouml;) in einem Entschlie&szlig;ungsantrag (<a href=\"/gegenstand/XXVIII/A/1102\">1102/A(E)</a>). F&uuml;r zahlreiche Betriebe - allen voran in der energieintensiven Industrie &#8211; w&uuml;rden die Energiepreise mittlerweile dar&uuml;ber entscheiden, ob in &Ouml;sterreich noch investiert und produziert wird oder ob Wertsch&ouml;pfung ins Ausland abwandert. So seien in den letzten drei Jahren &uuml;ber 30.000 Industriearbeitspl&auml;tze in &Ouml;sterreich verloren gegangen. Ein wesentlicher Hebel zur Senkung der Energiekosten seien die Steuern und Abgaben auf Energie. Die Elektrizit&auml;tsabgabe sei zwar f&uuml;r 2026 gesenkt worden, diese Regelung laufe aber Ende des Jahres aus. Die Freiheitlichen fordern daher, dass die Elektrizit&auml;tsabgabe unbefristet auf das unionsrechtlich zul&auml;ssige Mindestma&szlig; gesenkt wird &#8211; f&uuml;r Haushalte auf 0,1 Cent je kWh f&uuml;r die Lieferung von elektrischer Energie an Haushalte und f&uuml;r alle sonstigen Lieferungen und den Verbrauch von elektrischer Energie insbesondere durch Unternehmen auf 0,05 Cent je kWh. (Schluss) pst</p></div></div>"
},
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},
{
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"data": {
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},
{
"rendertype": "bubbles",
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{
"label": "Wirtschaft",
"link": "/aktuelles/pk?ABOTHEMEN=Wirtschaft"
},
{
"label": "Klima, Umwelt und Energie",
"link": "/aktuelles/pk?ABOTHEMEN=Klima, Umwelt und Energie"
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],
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},
{
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"link": "/aktuelles/pk?STW=Fernwärme"
},
{
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"link": "/aktuelles/pk?STW=Nationalrat"
},
{
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"link": "/aktuelles/pk?STW=Steuern"
},
{
"label": "Umwelt",
"link": "/aktuelles/pk?STW=Umwelt"
},
{
"label": "Wirtschaft",
"link": "/aktuelles/pk?STW=Wirtschaft"
}
],
"pretext": null,
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}
},
{
"rendertype": "bubbles",
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"label": "Plenarsitzungen des Nationalrats",
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}
],
"pretext": null,
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}
},
{
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},
{
"rendertype": "bubbles",
"data": {
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"bubbles": [
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"label": "Wirtschaft",
"link": "/suche?thema=Wirtschaft"
},
{
"label": "Klima, Umwelt und Energie",
"link": "/suche?thema=Klima, Umwelt und Energie"
}
],
"pretext": null,
"subtitle": "Gesamte Website durchsuchen:"
}
}
]
}
backend/tests/fixtures/parlament.press/release.request.json
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+19
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{
"url": "https://www.parlament.gv.at/aktuelles/pk/jahr_2026/pk1010",
"kind": "release",
"method": "GET",
"params": {
"json": "TRUE"
},
"json": null,
"meta": {
"Nr.": "PK1010",
"Datum": "23.10.2026",
"Titel": "<a href=\"/aktuelles/pk/jahr_2026/pk1010\">Neu im Wirtschaftsausschuss</a><div class=\"pksub\">Freiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe</div>",
"Abothemen": "[\"Wirtschaft\",\"Klima, Umwelt und Energie\"]",
"Stichworte": "[\"Anträge\",\"Energie\",\"Fernwärme\",\"Nationalrat\",\"Steuern\",\"Umwelt\",\"Wirtschaft\"]",
"Untertitel": "Freiheitliche und Grüne fordern Verbesserungen bei Fernwärme; FPÖ für Senkung der Elektrizitätsabgabe"
},
"content_type": "application/json",
"body_file": "release.json"
}
backend/tests/fixtures/rechnungshof.donations/csv.csv
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08.07.19;300.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
19.04.18;1.971.000,00;Team Stronach für Niederösterreich;3100 St. Pölten Rathausplatz 5;Team Stronach für Österreich
15.12.17;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
08.10.17;75.000,00;Mag. Johannes Baillou;1040 Wien Karlsgasse 20/3;Österreichische Volkspartei Bundespartei
13.09.17;60.368,64;Verstorbene Margarete Anna Felder;zuletzt wohnhaft in 4810 Gmunden Georgstraße 30/1;SPÖ Bezirksorganisaton Gmunden
08.09.17;51.000,00;AZH Beteiligungs GmbH;1010 Wien Sterngasse 11/5;NEOS – Das Neue Österreich und Liberales Forum
05.09.17;436.563,00;DI Stefan Pierer;4600 Wels Roithenstraße 89;Österreichische Volkspartei Bundespartei
23.08.17;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
17.08.17;98.000,00;RA Univ.Prof. Dr. Alfred J. Noll;1010 Wien Schellingstraße 3/3;LISTE PETER PILZ
21.06.17;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
21.06.17;98.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
19.04.17;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
14.04.17;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
13.01.17;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
17.11.16;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
16.03.16;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
15.03.16;718.329,13;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Steiermark
04.12.15;50.001,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Niederösterreich
05.11.15;50.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
28.09.15;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
17.09.15;150.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
28.07.15;500.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
08.06.15;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
08.06.15;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
19.05.15;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
03.02.15;54.013,35;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Burgenland
03.02.15;80.920,62;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Steiermark
03.02.15;68.233,44;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Oberösterreich
10.09.14;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
25.07.14;50.001,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Niederösterreich
22.07.14;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;"2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich"
25.06.14;50.001,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
23.05.14;175.188,38;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Oberösterreich
21.05.14;50.000,00;AZH Beteiligungs GmbH;1010 Wien Sterngasse 11/5;NEOS – Das Neue Österreich und Liberales Forum
14.05.14;1.000.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
08.05.14;70.076,32;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Vorarlberg
08.05.14;68.886,47;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Burgenland
08.05.14;201.444,91;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Salzburg
08.05.14;750.702,59;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Kärnten
08.05.14;70.182,47;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Steiermark
08.05.14;260.733,36;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Wien
07.05.14;55.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;NEOS – Das Neue Österreich und Liberales Forum
17.04.14;55.000,00;Dr. Markus Braun;1130 Wien Glorietegasse 20;NEOS – Das Neue Österreich und Liberales Forum
06.02.14;280.000,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Burgenland
06.02.14;310.000,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Oberösterreich
06.02.14;1.292.591,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Salzburg
06.02.14;690.000,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Steiermark
06.02.14;170.000,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Vorarlberg
06.02.14;230.000,00;Team Stronach für Österreich;1010 Wien Reichsratsstraße 3;Team Stronach für Wien
14.11.13;3.000.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
04.11.13;250.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;Liberales Forum
23.10.13;5.000.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
10.10.13;3.600.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
14.08.13;200.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;Liberales Forum
16.07.13;144.741,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;Liberales Forum
09.04.13;400.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
09.04.13;100.000,00;Dr. Hans Peter Haselsteiner;1220 Wien Donau-City-Straße 9;Liberales Forum
31.03.13;350.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
21.03.13;1.129.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
25.02.13;2.500.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
26.01.13;200.000,00;PPP Logistk GmbH;6020 Innsbruck Valiergasse 15;vorwärts tirol
25.01.13;2.500.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
14.01.13;90.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
27.12.12;500.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
05.12.12;289.454,02;Verein „Förderverein Volkshäuser“;6020 Innsbruck Salurner Straße 2;SPÖ Innsbruck-Stadt
03.12.12;1.000.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
02.11.12;1.000.000,00;Frank Stronach;2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
1 08.07.19 300.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
2 19.04.18 1.971.000,00 Team Stronach für Niederösterreich 3100 St. Pölten Rathausplatz 5 Team Stronach für Österreich
3 15.12.17 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
4 08.10.17 75.000,00 Mag. Johannes Baillou 1040 Wien Karlsgasse 20/3 Österreichische Volkspartei Bundespartei
5 13.09.17 60.368,64 Verstorbene Margarete Anna Felder zuletzt wohnhaft in 4810 Gmunden Georgstraße 30/1 SPÖ Bezirksorganisaton Gmunden
6 08.09.17 51.000,00 AZH Beteiligungs GmbH 1010 Wien Sterngasse 11/5 NEOS – Das Neue Österreich und Liberales Forum
7 05.09.17 436.563,00 DI Stefan Pierer 4600 Wels Roithenstraße 89 Österreichische Volkspartei Bundespartei
8 23.08.17 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
9 17.08.17 98.000,00 RA Univ.Prof. Dr. Alfred J. Noll 1010 Wien Schellingstraße 3/3 LISTE PETER PILZ
10 21.06.17 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
11 21.06.17 98.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
12 19.04.17 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
13 14.04.17 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
14 13.01.17 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
15 17.11.16 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
16 16.03.16 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
17 15.03.16 718.329,13 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Steiermark
18 04.12.15 50.001,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Niederösterreich
19 05.11.15 50.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
20 28.09.15 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
21 17.09.15 150.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
22 28.07.15 500.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
23 08.06.15 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
24 08.06.15 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
25 19.05.15 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
26 03.02.15 54.013,35 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Burgenland
27 03.02.15 80.920,62 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Steiermark
28 03.02.15 68.233,44 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Oberösterreich
29 10.09.14 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
30 25.07.14 50.001,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Niederösterreich
31 22.07.14 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 2522 Oberwaltersdorf Hofeldstraße 4;Team Stronach für Österreich
32 25.06.14 50.001,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
33 23.05.14 175.188,38 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Oberösterreich
34 21.05.14 50.000,00 AZH Beteiligungs GmbH 1010 Wien Sterngasse 11/5 NEOS – Das Neue Österreich und Liberales Forum
35 14.05.14 1.000.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
36 08.05.14 70.076,32 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Vorarlberg
37 08.05.14 68.886,47 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Burgenland
38 08.05.14 201.444,91 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Salzburg
39 08.05.14 750.702,59 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Kärnten
40 08.05.14 70.182,47 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Steiermark
41 08.05.14 260.733,36 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Wien
42 07.05.14 55.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 NEOS – Das Neue Österreich und Liberales Forum
43 17.04.14 55.000,00 Dr. Markus Braun 1130 Wien Glorietegasse 20 NEOS – Das Neue Österreich und Liberales Forum
44 06.02.14 280.000,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Burgenland
45 06.02.14 310.000,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Oberösterreich
46 06.02.14 1.292.591,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Salzburg
47 06.02.14 690.000,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Steiermark
48 06.02.14 170.000,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Vorarlberg
49 06.02.14 230.000,00 Team Stronach für Österreich 1010 Wien Reichsratsstraße 3 Team Stronach für Wien
50 14.11.13 3.000.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
51 04.11.13 250.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 Liberales Forum
52 23.10.13 5.000.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
53 10.10.13 3.600.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
54 14.08.13 200.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 Liberales Forum
55 16.07.13 144.741,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 Liberales Forum
56 09.04.13 400.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
57 09.04.13 100.000,00 Dr. Hans Peter Haselsteiner 1220 Wien Donau-City-Straße 9 Liberales Forum
58 31.03.13 350.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
59 21.03.13 1.129.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
60 25.02.13 2.500.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
61 26.01.13 200.000,00 PPP Logistk GmbH 6020 Innsbruck Valiergasse 15 vorwärts tirol
62 25.01.13 2.500.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
63 14.01.13 90.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
64 27.12.12 500.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
65 05.12.12 289.454,02 Verein „Förderverein Volkshäuser“ 6020 Innsbruck Salurner Straße 2 SPÖ Innsbruck-Stadt
66 03.12.12 1.000.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
67 02.11.12 1.000.000,00 Frank Stronach 2522 Oberwaltersdorf Hofeldstraße 4 Team Stronach für Österreich
backend/tests/fixtures/rechnungshof.donations/csv.expected.json
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backend/tests/fixtures/rechnungshof.donations/csv.request.json
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{
"url": "https://www.rechnungshof.gv.at/rh/home/home_1/home_3/Parteispenden_bis_8.Juli_2019.csv",
"kind": "csv",
"method": "GET",
"params": null,
"json": null,
"meta": {
"page": "https://www.rechnungshof.gv.at/rh/home/was-wir-tun/was-wir-tun_5/Kontrolle_der_Parteien.html"
},
"content_type": "text/csv;charset=UTF-8",
"body_file": "csv.csv"
}
backend/tests/fixtures/rechnungshof.party_reports/xlsx.expected.json
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[
{
"__type__": "Claim",
"claim_type": "party_finance",
"counterpart_org": null,
"counterpart_person": null,
"data": {
"ad_income": "0.00",
"ad_spending": "-58816.04",
"audited": true,
"direct_marketing": "-19760.52",
"donations": "0.00",
"from_affiliates": "0.00",
"levels": {
"Bundesland Tirol": {
"ad_income": "0.00",
"ad_spending": "-58816.04",
"direct_marketing": "-19760.52",
"donations": "0.00",
"from_affiliates": "0.00",
"mandate_holder_levies": "0.00",
"membership_fees": "359.00",
"outdoor_advertising": "-77382.80",
"public_funding": "928223.41",
"sponsoring": "0.00",
"staff_costs": "-238243.30"
},
"Landeshauptstadt Innsbruck": {
"ad_income": "0.00",
"ad_spending": "0.00",
"direct_marketing": "0.00",
"donations": "0.00",
"from_affiliates": "0.00",
"mandate_holder_levies": "0.00",
"membership_fees": "0.00",
"outdoor_advertising": "0.00",
"public_funding": "0.00",
"sponsoring": "0.00",
"staff_costs": "0.00"
},
"Österreich": {
"ad_income": "0.00",
"ad_spending": "0.00",
"direct_marketing": "0.00",
"donations": "0.00",
"from_affiliates": "0.00",
"mandate_holder_levies": "0.00",
"membership_fees": "0.00",
"outdoor_advertising": "0.00",
"public_funding": "0.00",
"sponsoring": "0.00",
"staff_costs": "0.00"
}
},
"mandate_holder_levies": "0.00",
"membership_fees": "359.00",
"outdoor_advertising": "-77382.80",
"public_funding": "928223.41",
"sponsoring": "0.00",
"staff_costs": "-238243.30",
"year": "2024"
},
"evidence": [
{
"__type__": "Evidence",
"confidence": 1.0,
"doc_type": "register_entry",
"excerpt": null,
"full_text": null,
"locator": "",
"meta": {},
"published_at": null,
"quote": null,
"source": null,
"stance": "supports",
"title": "Rechenschaftsbericht 2024 (vom Rechnungshof geprüft): Bürgerforum Tirol – Liste Fritz",
"url": "https://www.rechnungshof.gv.at/rh/home/home_1/home_5/Rechenschaftsbericht-2024-Buergerforum-Liste-Fritz-geprueft.xlsx"
}
],
"facet": null,
"key": [
"rh-report",
"burgerforum tirol liste fritz",
"2024",
"audited"
],
"occurred_at": null,
"org": {
"__type__": "OrgRef",
"create": true,
"ids": {},
"kind": "party",
"name": "Bürgerforum Tirol – Liste Fritz",
"short_name": null,
"slug": null
},
"person": null,
"review": false,
"sensitive": false,
"summary_de": "Rechenschaftsbericht 2024 (vom Rechnungshof geprüft): davon Fördermittel 928.223,41 € (Summe aller ausgewiesenen Gliederungen)",
"summary_en": "Annual report 2024 (audited): public funding EUR 928,223.41",
"topics": [
"Transparenz und Korruption"
],
"valid_from": "2024-01-01",
"valid_to": "2024-12-31"
},
{
"__type__": "Claim",
"claim_type": "money_flow",
"counterpart_org": null,
"counterpart_person": null,
"data": {},
"evidence": [
{
"__type__": "Evidence",
"confidence": 1.0,
"doc_type": "register_entry",
"excerpt": null,
"full_text": null,
"locator": "",
"meta": {},
"published_at": null,
"quote": null,
"source": null,
"stance": "supports",
"title": "Rechenschaftsbericht 2024 (vom Rechnungshof geprüft): Bürgerforum Tirol – Liste Fritz",
"url": "https://www.rechnungshof.gv.at/rh/home/home_1/home_5/Rechenschaftsbericht-2024-Buergerforum-Liste-Fritz-geprueft.xlsx"
}
],
"facet": {
"__type__": "Money",
"amount": "928223.41",
"amount_category": null,
"category": null,
"currency": "EUR",
"kind": "party_funding",
"paid_on": null,
"payee": {
"__type__": "OrgRef",
"create": true,
"ids": {},
"kind": "party",
"name": "Bürgerforum Tirol – Liste Fritz",
"short_name": null,
"slug": null
},
"payee_name": "Bürgerforum Tirol – Liste Fritz",
"payer": null,
"payer_name": "Öffentliche Parteienförderung",
"period": "2024",
"reference": null
},
"key": null,
"occurred_at": null,
"org": {
"__type__": "OrgRef",
"create": true,
"ids": {},
"kind": "party",
"name": "Bürgerforum Tirol – Liste Fritz",
"short_name": null,
"slug": null
},
"person": null,
"review": false,
"sensitive": false,
"summary_de": "Bürgerforum Tirol – Liste Fritz erhielt 2024 öffentliche Fördermittel von 928.223,41 €",
"summary_en": "Bürgerforum Tirol – Liste Fritz received EUR 928,223.41 in public funding in 2024",
"topics": [
"Transparenz und Korruption"
],
"valid_from": "2024-01-01",
"valid_to": null
}
]
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