feat(analysis): systematic daily 12-dim LLM analysis for holdings+watchlist

Gap (reported by user via zhiwei): premarket full review updated technical
params but full_analysis (12-dim LLM matrix) was empty for new holdings
and stale for old ones — batch_reassess existed but was never wired into
the daily pipeline and only covered watchlist.

System fix:
- premarket_full_review.py: new Step 1.5 runs batch_reassess --type
  holding --today every trading day 08:10 (force-refresh today's analysis,
  timeout 3600s, result in summary.json)
- batch_reassess.py:
  - coverage: --type holding|watchlist|all (was watchlist-only)
  - staleness: analysis >20h stale gets refreshed (was: skip if any
    analysis exists = forever stale)
  - --today flag: force re-analyze if not reassessed since 04:00 today
  - cash/total read live from portfolio_summary (was hardcoded 321271/
    952879 from weeks ago)
  - HK stock prefix fix (5-digit codes -> hk, was sending sz00700)
- watchlist_12d_backfill.py: wrapper for hermes cron (no args support)
- cron job '批量补全九维分析-一次性' -> '自选12维分析补全-每日午间'
  (daily 12:30 weekdays, covers 109 watchlist stocks missing analysis)

Verified: 300308 got 1920-char 12-dim analysis written to DB at 08:41,
signal=观望, stop/take-profit updated.
This commit is contained in:
hmo
2026-07-20 08:48:08 +08:00
parent 0ab542678b
commit a40b97f5ca
8 changed files with 189 additions and 22 deletions
+7
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import json
d = json.load(open('/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json'))
jobs = d if isinstance(d, list) else d.get('jobs', [])
for j in jobs:
if '批量补全' in j.get('name', '') or '九维' in j.get('name', ''):
print(json.dumps({k: j.get(k) for k in ('name', 'script', 'no_agent', 'prompt', 'schedule', 'enabled')},
ensure_ascii=False, indent=2))
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import sqlite3
conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
print('=== portfolio_summary schema ===')
for r in conn.execute("SELECT sql FROM sqlite_master WHERE name='portfolio_summary'"):
print(r[0])
print()
print('=== latest row ===')
cur = conn.execute('SELECT * FROM portfolio_summary ORDER BY id DESC LIMIT 1')
cols = [d[0] for d in cur.description]
row = cur.fetchone()
for c, v in zip(cols, row):
print(f' {c} = {v}')
print()
print('=== decision_type distribution ===')
for r in conn.execute("SELECT decision_type, COUNT(*) FROM holding_strategies WHERE status='active' GROUP BY decision_type"):
print(f' {r[0]}: {r[1]}')
print()
print('=== full_analysis staleness ===')
for r in conn.execute("""
SELECT decision_type,
SUM(CASE WHEN full_analysis IS NULL OR LENGTH(full_analysis)<500 THEN 1 ELSE 0 END) as missing,
SUM(CASE WHEN LENGTH(full_analysis)>=500 THEN 1 ELSE 0 END) as has_fa,
COUNT(*) as total
FROM holding_strategies WHERE status='active' GROUP BY decision_type"""):
print(f' {r[0]}: missing={r[1]} has={r[2]} total={r[3]}')
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import ast, sys
for p in ['/home/hmo/MoFin/deploy/profile-scripts/batch_reassess.py',
'/home/hmo/MoFin/deploy/profile-scripts/premarket_full_review.py']:
try:
ast.parse(open(p).read())
print('OK:', p)
except SyntaxError as e:
print('SYNTAX ERROR:', p, e)
sys.exit(1)
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import json, shutil
from datetime import datetime
jf = '/home/hmo/.hermes/profiles/position-analyst/cron/jobs.json'
shutil.copy(jf, jf + '.bak-20260720')
d = json.load(open(jf))
jobs = d if isinstance(d, list) else d.get('jobs', [])
for j in jobs:
if j.get('name') == '批量补全九维分析-一次性':
j['name'] = '自选12维分析补全-每日午间'
j['script'] = 'watchlist_12d_backfill.py'
j['schedule'] = {"kind": "cron", "expr": "30 12 * * 1-5", "display": "30 12 * * 1-5"}
j['schedule_display'] = "30 12 * * 1-5"
j['next_run_at'] = "2026-07-20T12:30:00+08:00"
j['state'] = 'scheduled'
print('updated job:', j['name'], '| script:', j['script'], '| schedule:', j['schedule_display'])
break
else:
print('job not found!')
if isinstance(d, list):
json.dump(jobs, open(jf, 'w'), ensure_ascii=False, indent=2)
else:
d['jobs'] = jobs
json.dump(d, open(jf, 'w'), ensure_ascii=False, indent=2)
print('saved')
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import sqlite3
conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
r = conn.execute("SELECT code, LENGTH(full_analysis), reassessed_at, timing_signal, stop_loss, take_profit FROM holding_strategies WHERE code='300308'").fetchone()
print(r)
# also show first 300 chars of the analysis
r2 = conn.execute("SELECT substr(full_analysis, 1, 400) FROM holding_strategies WHERE code='300308'").fetchone()
print(r2[0] if r2 else 'none')