Simon DiesenreiterandClaude Opus 5.5
9da5a1dc48
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>
107 lines
6.2 KiB
Python
107 lines
6.2 KiB
Python
"""RTR / KommAustria media transparency (MedKF-TG): advertising and media subsidies paid by public bodies.
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Open data API (no usage restrictions, attribution): https://data.rtr.at/api/v1/tables/<table>.json
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* mt-bekanntgabe2024 (half-yearly since 2024): payer, medium, media owner, campaign, amount, ad sujet link
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* mt-bekanntgabe (quarterly until 2023): payer, medium/owner, amount
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Each row -> money_flow (kind government_ad for advertising, subsidy for media funding) from the public body
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(ministry, state government, municipality, public company...) to the media owner.
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"""
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from __future__ import annotations
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from collections.abc import Iterator
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from datetime import date
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from typing import Any
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from politrack.core import Adapter, Request, Response, RunContext, SourceSpec, register
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from politrack.core.records import Claim, Evidence, Money, OrgRef
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from politrack.text import format_eur_de
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API = "https://data.rtr.at/api/v1/tables"
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PAGE_SIZE = 5000
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SPEC = SourceSpec(
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slug="rtr-medientransparenz", name="RTR/KommAustria Medientransparenz", kind="official",
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homepage="https://www.rtr.at/medien/was_wir_tun/medientransparenz/",
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license="Amtliches Werk (§7 UrhG); attribution \"KommAustria – data.rtr.at\"", access="api",
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trust=95, min_interval=2.0,
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# data.rtr.at/robots.txt disallows everything for crawlers, but RTR documents this API as "der Endpunkt zur
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# automatischen Abfrage der Daten" (rtr.at/rtr/service/opendata/OD_Schnittstellenbeschreibung.de.html).
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robots_exempt=(API + "/",),
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tos_notes="Government advertising and media funding reported under MedKF-TG. The REST API is documented by "
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"RTR for automated queries (OD_Schnittstellenbeschreibung); robots.txt on data.rtr.at blocks "
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"crawlers only. Terms (OD_Nutzungsbedingungen): free works under §7 UrhG, attribution requested, "
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"no use for defamatory/discriminatory purposes.",
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)
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KIND = {2: "government_ad", 4: "subsidy"}
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def half_years(since_year: int) -> list[str]:
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today = date.today()
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return [f"{y}{h}" for y in range(since_year, today.year + 1) for h in (1, 2)
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if (y, h) <= (today.year, 1 if today.month <= 6 else 2)]
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def quarters(since_year: int, until_year: int = 2023) -> list[str]:
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return [f"{y}{q}" for y in range(since_year, until_year + 1) for q in (1, 2, 3, 4)]
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@register
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class MediaTransparency(Adapter):
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spec = SPEC
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name = "rtr.medientransparenz"
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description = "Government advertising and media subsidies per public body and media owner"
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schedule = "0 4 * * 2"
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queue = "bulk"
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def start(self, ctx: RunContext) -> Iterator[Request]:
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for period in half_years(int(ctx.params.get("since_year", 2024))):
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yield Request(url=f"{API}/mt-bekanntgabe2024.json", params={"halbjahr": period, "size": PAGE_SIZE, "page": 0},
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kind="halbjahr", meta={"period": period})
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for period in quarters(int(ctx.params.get("legacy_since_year", 2021))):
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yield Request(url=f"{API}/mt-bekanntgabe.json", params={"quartal": period, "size": PAGE_SIZE, "page": 0},
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kind="quartal", meta={"period": period})
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def parse(self, ctx: RunContext, response: Response) -> Iterator[Any]:
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rows = response.json().get("data") or []
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params = response.request.params or {}
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if len(rows) >= PAGE_SIZE:
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yield Request(url=response.request.url, params={**params, "page": params.get("page", 0) + 1},
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kind=response.request.kind, meta=response.meta)
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period = response.meta["period"]
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label = f"{period[:4]}-H{period[4:]}" if response.request.kind == "halbjahr" else f"{period[:4]}-Q{period[4:]}"
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min_euro = float(ctx.params.get("min_euro", 0))
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for row in rows:
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amount = row.get("euro")
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if row.get("leermeldung") or amount is None or float(amount) < min_euro:
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continue
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kind = KIND.get(row.get("bekanntgabe"), "other")
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payer_name = (row.get("rechtstraeger") or "").strip().strip('"')
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owner = (row.get("medieninhaber") or row.get("mediumMedieninhaber") or "").strip()
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medium = (row.get("medium") or row.get("mediumMedieninhaber") or "").strip()
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if not payer_name or not owner:
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continue
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payer = OrgRef(name=payer_name, kind="public_body",
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ids={"rtr": str(row["rechtstraeger_id"])} if row.get("rechtstraeger_id") else {})
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payee = OrgRef(name=owner, kind="media")
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campaign = row.get("kampagne")
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what = "Werbung" if kind == "government_ad" else "Förderung"
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evidence_url = (f"{API}/{'mt-bekanntgabe2024' if response.request.kind == 'halbjahr' else 'mt-bekanntgabe'}"
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f".json?{'halbjahr' if response.request.kind == 'halbjahr' else 'quartal'}={period}"
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+ (f"&rechtstraeger_id={row['rechtstraeger_id']}" if row.get("rechtstraeger_id") else ""))
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yield Claim(
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claim_type="money_flow", org=payer, counterpart_org=payee,
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summary_de=f"{payer_name}: {what} in {medium} ({owner}), {format_eur_de(amount)} € ({label})"
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+ (f" – Kampagne „{campaign}“" if campaign else ""),
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summary_en=f"{payer_name}: {'advertising' if kind == 'government_ad' else 'funding'} in {medium} "
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f"({owner}), EUR {amount:,.2f} ({label})",
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data={"medium": medium, "category": row.get("kategorie"), "subcategory": row.get("subkategorie"),
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"campaign": campaign, "sujet": row.get("sujet"), "period": label},
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evidence=[Evidence(url=evidence_url, doc_type="dataset_row",
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title=f"Medientransparenz {label}: {payer_name}",
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quote=f"{payer_name} → {medium} ({owner}): {amount} €")],
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topics=("Information und Medien",),
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facet=Money(kind=kind, amount=amount, payer=payer, payer_name=payer_name, payee=payee, payee_name=owner,
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period=label, reference=f"{campaign or ''}|{medium}|{row.get('sujet_dateiname') or ''}",
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category=row.get("kategorie")),
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)
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