fix: add timeouts to SSL/DNS blocking calls, reset stuck AI jobs on startup

- SSL handshake: set socket timeout before wrap_socket (prevents indefinite hang)
- SSL executor: asyncio.wait_for(..., timeout=12)
- DNS gethostbyname: asyncio.wait_for(..., timeout=6)
- analyze_site: hard 90s timeout wrapper
- _assess_one: hard 180s ceiling via asyncio.timeout()
- ai_worker_loop: reset 'running' → 'pending' on startup (clears crashed-session jobs)
- Add POST /api/ai/reset endpoint + UI button to unstick jobs without restart

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/enricher.py

@@ -345,14 +345,16 @@ async def _assess_one(domain: str) -> None:
 
     logger.info("AI: starting analysis for %s", domain)
     try:
-        analysis = await analyze_site(domain)
-        logger.info("AI: site analyzed %s (reachable=%s, words=%s)",
-                    domain, analysis.get("reachable"), analysis.get("word_count"))
-        assessment = await gemini_assess(analysis)
-        logger.info("AI: Gemini done %s → quality=%s",
-                    domain, assessment.get("lead_quality"))
-        await save_ai_assessment(domain, assessment, site_analysis=analysis)
-        logger.info("AI: saved %s", domain)
+        # Hard 3-minute ceiling so stuck jobs never block the worker forever
+        async with asyncio.timeout(180):
+            analysis = await analyze_site(domain)
+            logger.info("AI: site analyzed %s (reachable=%s, words=%s)",
+                        domain, analysis.get("reachable"), analysis.get("word_count"))
+            assessment = await gemini_assess(analysis)
+            logger.info("AI: Gemini done %s → quality=%s",
+                        domain, assessment.get("lead_quality"))
+            await save_ai_assessment(domain, assessment, site_analysis=analysis)
+            logger.info("AI: saved %s", domain)
     except Exception as e:
         logger.error("AI: failed %s — %s", domain, e, exc_info=True)
         try:
@@ -368,6 +370,18 @@ async def _assess_one(domain: str) -> None:
 
 async def ai_worker_loop():
     logger.info("AI worker loop starting")
+    # Reset any jobs left in 'running' state from a previous crashed worker
+    try:
+        async with aiosqlite.connect(SQLITE_PATH) as db:
+            result = await db.execute(
+                "UPDATE ai_queue SET status='pending' WHERE status='running'"
+            )
+            count = result.rowcount
+            await db.commit()
+            if count:
+                logger.info("AI worker: reset %d stale 'running' jobs to 'pending'", count)
+    except Exception as e:
+        logger.error("AI worker: failed to reset stale jobs: %s", e)
     while True:
         rows = []
         try: