Files
upbeatBytes/goodnews/queries.py
T
thejayman77 2f4bdf2d00 Add FastAPI web/API layer and static site
- 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>
2026-05-30 13:51:07 +00:00

142 lines
4.2 KiB
Python

"""Read-only query helpers over the goodNews database.
Pure stdlib and framework-agnostic: returns plain dicts so the same functions
back both the CLI and the JSON API. All article output is metadata + a link to
the original source — never stored bodies.
"""
from __future__ import annotations
import sqlite3
# Composite ranking used everywhere a "best first" order is needed. Kept as one
# expression so brief, category feeds, and the API all rank identically.
RANK_SCORE_SQL = (
"(s.constructive_score + s.agency_score + s.human_benefit_score + src.trust_score "
"- s.cortisol_score - s.ragebait_score - s.pr_risk_score)"
)
_ARTICLE_COLUMNS = f"""
a.id,
a.title,
a.description,
a.canonical_url,
a.published_at,
a.image_url,
src.name AS source_name,
s.topic,
s.flavor,
s.accepted,
s.constructive_score,
s.cortisol_score,
s.ragebait_score,
s.agency_score,
s.human_benefit_score,
s.pr_risk_score,
s.reason_code,
s.reason_text,
s.model_name,
{RANK_SCORE_SQL} AS rank_score
"""
def feed(
conn: sqlite3.Connection,
topic: str | None = None,
flavor: str | None = None,
accepted_only: bool = True,
limit: int = 30,
offset: int = 0,
) -> list[dict]:
"""Return ranked articles, optionally filtered by topic and/or flavor."""
clauses = []
params: list = []
if accepted_only:
clauses.append("s.accepted = 1")
if topic:
clauses.append("s.topic = ?")
params.append(topic.lower())
if flavor:
clauses.append("s.flavor = ?")
params.append(flavor.lower())
where = ("WHERE " + " AND ".join(clauses)) if clauses else ""
params.extend([limit, offset])
rows = conn.execute(
f"""
SELECT {_ARTICLE_COLUMNS}
FROM articles a
JOIN sources src ON src.id = a.source_id
JOIN article_scores s ON s.article_id = a.id
{where}
ORDER BY rank_score DESC, COALESCE(a.published_at, a.discovered_at) DESC
LIMIT ? OFFSET ?
""",
params,
).fetchall()
return [dict(row) for row in rows]
def brief(conn: sqlite3.Connection, brief_date: str | None = None, limit: int = 10) -> dict:
"""Return a stored daily brief (latest if no date) with its ranked items."""
target_date = brief_date or _latest_brief_date(conn)
if not target_date:
return {"brief_date": None, "title": None, "items": []}
header = conn.execute(
"SELECT brief_date, title FROM daily_briefs WHERE brief_date = ?",
(target_date,),
).fetchone()
if not header:
return {"brief_date": target_date, "title": None, "items": []}
rows = conn.execute(
f"""
SELECT bi.rank, bi.selection_reason, {_ARTICLE_COLUMNS}
FROM daily_briefs b
JOIN daily_brief_items bi ON bi.brief_id = b.id
JOIN articles a ON a.id = bi.article_id
JOIN sources src ON src.id = a.source_id
LEFT JOIN article_scores s ON s.article_id = a.id
WHERE b.brief_date = ?
ORDER BY bi.rank
LIMIT ?
""",
(target_date, limit),
).fetchall()
return {
"brief_date": header["brief_date"],
"title": header["title"],
"items": [dict(row) for row in rows],
}
def category_counts(conn: sqlite3.Connection, accepted_only: bool = True) -> list[dict]:
"""Return per topic/flavor article counts for building browse UIs."""
where = "WHERE s.accepted = 1" if accepted_only else "WHERE s.topic IS NOT NULL"
rows = conn.execute(
f"""
SELECT s.topic, s.flavor, COUNT(*) AS count
FROM article_scores s
{where}
GROUP BY s.topic, s.flavor
ORDER BY s.topic, s.flavor
"""
).fetchall()
return [dict(row) for row in rows]
def available_dates(conn: sqlite3.Connection, limit: int = 30) -> list[str]:
rows = conn.execute(
"SELECT brief_date FROM daily_briefs ORDER BY brief_date DESC LIMIT ?",
(limit,),
).fetchall()
return [row["brief_date"] for row in rows]
def _latest_brief_date(conn: sqlite3.Connection) -> str | None:
row = conn.execute(
"SELECT brief_date FROM daily_briefs ORDER BY brief_date DESC LIMIT 1"
).fetchone()
return row["brief_date"] if row else None