Snapshot: full project state

2026-10-06 23:43:21 -07:00
commit 1551408fc5
37 changed files with 2827 additions and 0 deletions
--- a/autopilot.py
+++ b/autopilot.py
@@ -0,0 +1,80 @@
+# Procyon — autopilot. Scheduled discover -> enrich -> score -> auto-prepare top N.
+# Everything up to the human approval/send gate. Never sends without approval.
+
+import os
+
+import db
+import scraper
+import tailor
+import pipeline
+import emailer
+
+BASE = os.path.dirname(os.path.abspath(__file__))
+
+
+def run():
+    db.init_db()
+    if db.get_setting('autopilot_enabled', '1') != '1':
+        print('autopilot disabled')
+        return
+
+    # 1. discover
+    try:
+        added = scraper.discover()
+    except Exception as e:
+        added = 0
+        print(f'discover error: {e}')
+    print(f'discovered {added} new job(s)')
+
+    # 2. enrich thin descriptions (firecrawl scrape / http fetch)
+    new_jobs = db.list_jobs(status='new', limit=200)
+    enriched = 0
+    for j in new_jobs:
+        desc = j.get('description') or ''
+        if len(desc) < 200 and j.get('url'):
+            try:
+                full = scraper.enrich_description(j['url'])
+                if full and len(full) > len(desc):
+                    conn = db.get_conn()
+                    try:
+                        conn.execute('UPDATE jobs SET description = ? WHERE id = ?',
+                                     (full[:5000], j['id']))
+                        conn.commit()
+                    finally:
+                        conn.close()
+                    enriched += 1
+            except Exception:
+                pass
+    print(f'enriched {enriched} job description(s)')
+
+    # 3. score all 'new' jobs
+    new_jobs = db.list_jobs(status='new', limit=200)
+    scored = []
+    for j in new_jobs:
+        s, o = tailor.score_job(j)
+        db.update_job_score(j['id'], s, o)
+        scored.append((j['id'], s))
+    print(f'scored {len(scored)} job(s)')
+
+    # 4. auto-prepare the top N (tailor + audit + PDF) — queued for your approval
+    max_prepare = int(db.get_setting('autopilot_max_prepare', '3'))
+    top = sorted(scored, key=lambda x: -x[1])[:max_prepare]
+    prepared = 0
+    for jid, s in top:
+        job = db.get_job(jid)
+        if not job:
+            continue
+        try:
+            aid = pipeline.prepare(job)
+            print(f'prepared app #{aid} for "{job["title"]}" (fit {s})')
+            prepared += 1
+            if db.get_setting('auto_send', '0') == '1':
+                sent, msg = emailer.auto_send(aid)
+                print(f'  auto-send: {msg}' if sent else f'  auto-send skipped: {msg}')
+        except Exception as e:
+            print(f'prepare failed for {job["title"]}: {e}')
+    print(f'AUTOPILOT_DONE: {added} discovered, {len(scored)} scored, {prepared} prepared')
+
+
+if __name__ == '__main__':
+    run()