feat: deep site analysis engine + fix AI assess for any domain

site_analyzer.py (new):
- Fresh scrape with timing, page size, server, CMS detection
- Lorem ipsum detection (16 phrases incl. user's example)
- Placeholder content detection (hello world, sample page, etc.)
- Analytics: GA4, GTM, Facebook Pixel, Hotjar, Clarity
- Webmaster: Google Search Console, Bing, Yandex verification tags
- sitemap.xml and robots.txt check + Googlebot block detection
- Mobile viewport check, word count, image/script count
- Full contact extraction: emails, phones, WhatsApp, social links
- Kit Digital signal detection

AI worker fix:
- No longer requires pre-enrichment — works on ANY selected domain
- Does fresh site_analyzer scrape then calls Gemini with full context
- Stores site_analysis JSON alongside AI assessment
- Upserts into enriched_domains even if domain was never enriched

Gemini prompt now includes:
- Complete technical snapshot (load time, size, server, SSL)
- Full SEO signals (sitemap, robots, analytics, webmaster verified)
- Content quality (lorem ipsum matches, placeholder matches)
- Kit Digital signals
- All extracted contacts
- 500-word page text sample
- Outputs: summary, site_quality_score/10, content_issues[],
  urgency_signals[], performance_notes, seo_status,
  best_contact_channel+value, all_contacts, ES pitch,
  services_needed, outreach_notes

UI: rich AI modal with summary banner, quality grid, content issues,
    urgency signals, full contact list, technical snapshot

Fixes: correct Replicate token, ai_queue status='running' bug

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

app/db.py

@@ -35,7 +35,8 @@ CREATE TABLE IF NOT EXISTS enriched_domains (
     ai_pitch TEXT,
     ai_contact_channel TEXT,
     ai_contact_value TEXT,
-    ai_assessed_at TEXT
+    ai_assessed_at TEXT,
+    site_analysis TEXT
 );
 CREATE TABLE IF NOT EXISTS job_queue (
     id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -71,6 +72,7 @@ _MIGRATIONS = [
     "ALTER TABLE enriched_domains ADD COLUMN ai_contact_channel TEXT",
     "ALTER TABLE enriched_domains ADD COLUMN ai_contact_value TEXT",
     "ALTER TABLE enriched_domains ADD COLUMN ai_assessed_at TEXT",
+    "ALTER TABLE enriched_domains ADD COLUMN site_analysis TEXT",
     "CREATE TABLE IF NOT EXISTS ai_queue (domain TEXT PRIMARY KEY, status TEXT DEFAULT 'pending', created_at TEXT DEFAULT (datetime('now')), completed_at TEXT, error TEXT)",
 ]
 
@@ -352,13 +354,19 @@ async def get_ai_queue_status():
     }
 
 
-async def save_ai_assessment(domain: str, assessment: dict):
+async def save_ai_assessment(domain: str, assessment: dict, site_analysis: dict = None):
     import json as _json
     async with aiosqlite.connect(SQLITE_PATH) as db:
+        # Upsert into enriched_domains (domain may not exist yet if assessed before full enrichment)
+        await db.execute(
+            """INSERT INTO enriched_domains (domain) VALUES (?) ON CONFLICT(domain) DO NOTHING""",
+            (domain,),
+        )
         await db.execute(
             """UPDATE enriched_domains SET
                ai_assessment=?, ai_lead_quality=?, ai_pitch=?,
-               ai_contact_channel=?, ai_contact_value=?, ai_assessed_at=datetime('now')
+               ai_contact_channel=?, ai_contact_value=?, ai_assessed_at=datetime('now'),
+               site_analysis=?
                WHERE domain=?""",
             (
                 _json.dumps(assessment),
@@ -366,9 +374,29 @@ async def save_ai_assessment(domain: str, assessment: dict):
                 assessment.get("pitch_angle"),
                 assessment.get("best_contact_channel"),
                 assessment.get("best_contact_value"),
+                _json.dumps(site_analysis) if site_analysis else None,
                 domain,
             ),
         )
+        # Also update contact_info + kit_digital from site_analysis if available
+        if site_analysis:
+            contacts = {
+                "emails":   site_analysis.get("emails", []),
+                "phones":   site_analysis.get("phones", []),
+                "whatsapp": site_analysis.get("whatsapp", []),
+                "social":   site_analysis.get("social_links", []),
+            }
+            await db.execute(
+                """UPDATE enriched_domains SET
+                   kit_digital=?, kit_digital_signals=?, contact_info=?
+                   WHERE domain=?""",
+                (
+                    int(site_analysis.get("kit_digital", False)),
+                    _json.dumps(site_analysis.get("kit_digital_signals", [])),
+                    _json.dumps(contacts),
+                    domain,
+                ),
+            )
         await db.execute(
             "UPDATE ai_queue SET status='done', completed_at=datetime('now') WHERE domain=?",
             (domain,),