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>
42 lines
1.8 KiB
Python
42 lines
1.8 KiB
Python
"""Rules shared by all read queries.
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* Source filtering happens at the evidence level: a claim is returned only if at least one document comes
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from an allowed source, and only allowed evidence is shown.
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* Claims merged into another claim (corroboration) are hidden; the survivor carries all evidence.
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* Claims pending human review are hidden unless include_pending is set (moderation).
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Any
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VISIBLE = ("c.merged_into IS NULL AND (c.review_status = 'published' OR "
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"(%(include_pending)s AND c.review_status = 'pending'))")
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@dataclass
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class SourceFilter:
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exclude_sources: list[str] = field(default_factory=list)
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min_trust: int = 0
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def sql(self, alias: str = "s") -> tuple[str, dict[str, Any]]:
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return (
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f"(NOT ({alias}.slug = ANY(%(exclude_sources)s)) AND {alias}.default_trust >= %(min_trust)s)",
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{"exclude_sources": self.exclude_sources, "min_trust": self.min_trust},
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)
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def evidence_json(source_sql: str) -> str:
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"""Lateral subquery aggregating the allowed evidence of claim `c`."""
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return f"""
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CROSS JOIN LATERAL (
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SELECT jsonb_agg(jsonb_build_object(
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'url', d.url, 'title', d.title, 'source', s.slug, 'source_name', s.name, 'source_kind', s.kind,
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'published_at', d.published_at, 'quote', e.quote, 'stance', e.stance, 'archive_url', d.archive_url)
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ORDER BY s.default_trust DESC, d.published_at) AS evidence,
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count(DISTINCT s.id) AS source_count
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FROM claim_evidence e JOIN document d ON d.id = e.document_id JOIN source s ON s.id = d.source_id
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WHERE e.claim_id = c.id AND {source_sql}
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) ev"""
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