2f4bdf2d00
- queries.py: shared read-only query helpers (feed, brief, category counts) returning plain dicts, used by the API and available to the CLI. - api.py: FastAPI service with Pydantic response models (the companion-app contract), CORS, and endpoints for categories, feed, brief, and health; mounts a static site at /. - static/index.html: minimal dependency-free site rendering the daily five and topic/flavor category browsing. - 'goodnews serve' command launches uvicorn (lazy import; core CLI stays pure-stdlib). Web deps live behind the optional [web] extra. - Dockerfile + .dockerignore + build-system metadata so the service installs and deploys cleanly, with the DB mounted as a shared volume. - README: web/API and deployment docs. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
142 lines
4.2 KiB
Python
142 lines
4.2 KiB
Python
"""Read-only query helpers over the goodNews database.
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Pure stdlib and framework-agnostic: returns plain dicts so the same functions
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back both the CLI and the JSON API. All article output is metadata + a link to
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the original source — never stored bodies.
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"""
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from __future__ import annotations
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import sqlite3
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# Composite ranking used everywhere a "best first" order is needed. Kept as one
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# expression so brief, category feeds, and the API all rank identically.
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RANK_SCORE_SQL = (
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"(s.constructive_score + s.agency_score + s.human_benefit_score + src.trust_score "
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"- s.cortisol_score - s.ragebait_score - s.pr_risk_score)"
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)
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_ARTICLE_COLUMNS = f"""
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a.id,
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a.title,
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a.description,
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a.canonical_url,
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a.published_at,
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a.image_url,
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src.name AS source_name,
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s.topic,
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s.flavor,
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s.accepted,
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s.constructive_score,
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s.cortisol_score,
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s.ragebait_score,
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s.agency_score,
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s.human_benefit_score,
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s.pr_risk_score,
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s.reason_code,
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s.reason_text,
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s.model_name,
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{RANK_SCORE_SQL} AS rank_score
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"""
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def feed(
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conn: sqlite3.Connection,
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topic: str | None = None,
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flavor: str | None = None,
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accepted_only: bool = True,
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limit: int = 30,
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offset: int = 0,
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) -> list[dict]:
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"""Return ranked articles, optionally filtered by topic and/or flavor."""
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clauses = []
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params: list = []
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if accepted_only:
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clauses.append("s.accepted = 1")
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if topic:
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clauses.append("s.topic = ?")
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params.append(topic.lower())
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if flavor:
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clauses.append("s.flavor = ?")
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params.append(flavor.lower())
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where = ("WHERE " + " AND ".join(clauses)) if clauses else ""
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params.extend([limit, offset])
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rows = conn.execute(
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f"""
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SELECT {_ARTICLE_COLUMNS}
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FROM articles a
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JOIN sources src ON src.id = a.source_id
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JOIN article_scores s ON s.article_id = a.id
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{where}
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ORDER BY rank_score DESC, COALESCE(a.published_at, a.discovered_at) DESC
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LIMIT ? OFFSET ?
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""",
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params,
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).fetchall()
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return [dict(row) for row in rows]
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def brief(conn: sqlite3.Connection, brief_date: str | None = None, limit: int = 10) -> dict:
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"""Return a stored daily brief (latest if no date) with its ranked items."""
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target_date = brief_date or _latest_brief_date(conn)
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if not target_date:
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return {"brief_date": None, "title": None, "items": []}
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header = conn.execute(
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"SELECT brief_date, title FROM daily_briefs WHERE brief_date = ?",
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(target_date,),
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).fetchone()
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if not header:
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return {"brief_date": target_date, "title": None, "items": []}
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rows = conn.execute(
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f"""
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SELECT bi.rank, bi.selection_reason, {_ARTICLE_COLUMNS}
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FROM daily_briefs b
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JOIN daily_brief_items bi ON bi.brief_id = b.id
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JOIN articles a ON a.id = bi.article_id
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JOIN sources src ON src.id = a.source_id
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LEFT JOIN article_scores s ON s.article_id = a.id
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WHERE b.brief_date = ?
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ORDER BY bi.rank
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LIMIT ?
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""",
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(target_date, limit),
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).fetchall()
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return {
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"brief_date": header["brief_date"],
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"title": header["title"],
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"items": [dict(row) for row in rows],
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}
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def category_counts(conn: sqlite3.Connection, accepted_only: bool = True) -> list[dict]:
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"""Return per topic/flavor article counts for building browse UIs."""
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where = "WHERE s.accepted = 1" if accepted_only else "WHERE s.topic IS NOT NULL"
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rows = conn.execute(
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f"""
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SELECT s.topic, s.flavor, COUNT(*) AS count
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FROM article_scores s
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{where}
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GROUP BY s.topic, s.flavor
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ORDER BY s.topic, s.flavor
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"""
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).fetchall()
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return [dict(row) for row in rows]
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def available_dates(conn: sqlite3.Connection, limit: int = 30) -> list[str]:
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rows = conn.execute(
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"SELECT brief_date FROM daily_briefs ORDER BY brief_date DESC LIMIT ?",
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(limit,),
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).fetchall()
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return [row["brief_date"] for row in rows]
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def _latest_brief_date(conn: sqlite3.Connection) -> str | None:
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row = conn.execute(
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"SELECT brief_date FROM daily_briefs ORDER BY brief_date DESC LIMIT 1"
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).fetchone()
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return row["brief_date"] if row else None
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