readthrough / scripts /backfill_narrative.py
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Claude Opus 5 (1M context)
feat: rebuild The Brief around a sourced article and scannable panels
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"""Attach a press-style narrative to a brief that was generated without one.
The narrative is composed from the brief itself -- verified facts, computed
quarter deltas, the reported trajectory -- and needs no filings, no vector
store and no agent loop. So a stored brief can gain its article for the cost
of one short model call instead of a full regeneration.
Usage::
python -m scripts.backfill_narrative AAPL
python -m scripts.backfill_narrative AAPL --dry-run
python -m scripts.backfill_narrative --all
``--dry-run`` prints the article and the validation report without touching
the database.
"""
from __future__ import annotations
import argparse
import json
import sqlite3
import sys
from dotenv import load_dotenv
from agent.llm import default_config
from agent.narrative import compose_narrative
from storage import briefs_db
load_dotenv()
def _update_stored_brief(ticker: str, brief: dict) -> int:
"""Write *brief* back over the rows it came from. Returns rows touched.
save_brief() cannot be used here: its snapshot insert is keyed on
generated_at and would be ignored, leaving get_brief() -- which reads
brief_snapshots first -- still serving the article-less payload.
"""
payload = json.dumps(brief)
generated_at = brief.get("generated_at") or ""
with sqlite3.connect(briefs_db.DB_PATH) as conn:
touched = conn.execute(
"UPDATE brief_snapshots SET brief_json = ? "
"WHERE ticker = ? AND generated_at = ?",
(payload, ticker.upper(), generated_at),
).rowcount
touched += conn.execute(
"UPDATE briefs SET brief_json = ? WHERE ticker = ?",
(payload, ticker.upper()),
).rowcount
# A stored translation predates the article and would render the
# brief without it; drop it so it is rebuilt on next request.
conn.execute("DELETE FROM brief_translations WHERE ticker = ?", (ticker.upper(),))
return touched
def backfill(ticker: str, *, dry_run: bool = False, force: bool = False) -> int:
brief = briefs_db.get_brief(ticker)
if brief is None:
print(f"{ticker}: no stored brief", file=sys.stderr)
return 1
if brief.get("narrative") and not force:
print(f"{ticker}: already has a narrative (use --force to replace)")
return 0
try:
from analytics.segments import digest_lines
brief["segment_lines"] = digest_lines(ticker)
except Exception as exc:
print(f" 路 segment lines unavailable: {exc}")
article, report, usage = compose_narrative(
brief, default_config(), brief.get("language") or "English"
)
for line in report:
print(f" 路 {line}")
if usage:
print(f" 路 usage: {usage}")
if article is None:
print(f"{ticker}: no article survived validation")
return 1
print(f"\n {article.get('headline') or '(headline dropped)'}")
print(f" {article.get('dek') or ''}\n")
for para in article["paragraphs"]:
print(f" [{para['role']}] ({', '.join(para['fact_ids'])})")
print(f" {para['text']}\n")
if dry_run:
print(f"{ticker}: dry run, nothing written")
return 0
brief["narrative"] = article
brief["narrative_usage"] = usage
rows = _update_stored_brief(ticker, brief)
print(f"{ticker}: narrative attached ({rows} row(s) updated)")
return 0
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("ticker", nargs="?", help="Ticker to backfill.")
parser.add_argument("--all", action="store_true", help="Every ticker with a stored brief.")
parser.add_argument("--dry-run", action="store_true", help="Print without writing.")
parser.add_argument("--force", action="store_true", help="Replace an existing narrative.")
args = parser.parse_args()
if args.all:
tickers = briefs_db.list_tickers()
elif args.ticker:
tickers = [args.ticker.upper()]
else:
parser.error("give a ticker or --all")
failures = 0
for ticker in tickers:
print(f"\n== {ticker} ==")
failures += backfill(ticker, dry_run=args.dry_run, force=args.force)
return 1 if failures else 0
if __name__ == "__main__":
raise SystemExit(main())