Initial commit - WhyRating Engine (Google Reviews Scraper)

run_synthesis.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+"""Regenerate synthesis with new report format."""
+import asyncio
+import os
+import sys
+import uuid
+
+sys.path.insert(0, '/app/packages/reviewiq-pipeline/src')
+sys.path.insert(0, '/app/packages/pipeline-core/src')
+
+async def main():
+    import asyncpg
+    from reviewiq_pipeline.config import Config
+    from reviewiq_pipeline.services.llm_client import LLMClient
+    from reviewiq_pipeline.stages.stage5_synthesize import Stage5Synthesizer
+
+    job_id = "a3813665-ea23-4fb0-aab7-b282ef9443e4"
+
+    database_url = os.getenv(
+        'DATABASE_URL',
+        'postgresql://scraper:scraper123@scraper-db:5432/scraper'
+    )
+
+    print("Connecting to database...")
+    pool = await asyncpg.create_pool(database_url)
+
+    # Check if execution exists for this job, create one if not
+    print("Checking for existing execution...")
+    row = await pool.fetchrow(
+        "SELECT id FROM pipeline.executions WHERE job_id = $1::uuid ORDER BY created_at DESC LIMIT 1",
+        job_id
+    )
+
+    if row:
+        execution_id = str(row['id'])
+        print(f"Found existing execution: {execution_id}")
+    else:
+        execution_id = str(uuid.uuid4())
+        print(f"Creating new execution: {execution_id}")
+        await pool.execute("""
+            INSERT INTO pipeline.executions (id, pipeline_id, job_id, status, stages_requested, created_at)
+            VALUES ($1::uuid, 'reviewiq', $2::uuid, 'running', ARRAY['synthesize'], NOW())
+        """, execution_id, job_id)
+
+    print("Creating LLM client...")
+    config = Config()
+    llm_client = LLMClient.create(config)
+
+    try:
+        print(f"Generating analyst report for job {job_id}...")
+        stage5 = Stage5Synthesizer(pool=pool, llm_client=llm_client)
+        synthesis = await stage5.run(job_id, execution_id)
+
+        # Mark execution as completed
+        await pool.execute(
+            "UPDATE pipeline.executions SET status = 'completed', completed_at = NOW() WHERE id = $1::uuid",
+            execution_id
+        )
+
+        print(f"\n{'='*70}")
+        print("ANALYST REPORT GENERATED")
+        print(f"{'='*70}")
+        print(f"\nHEADLINE: {synthesis.headline}")
+        print(f"\nVERDICT: {synthesis.verdict}")
+        print(f"\nRATING: {synthesis.current_rating:.1f} → {synthesis.potential_rating:.1f} (gap: +{synthesis.rating_gap:.1f})")
+        print(f"\nNARRATIVE:\n{synthesis.narrative[:500]}...")
+        print(f"\nPRIMARY PROBLEM: {synthesis.primary_problem}")
+        print(f"ROOT CAUSE: {synthesis.root_cause}")
+        print(f"\nACTIONS ({len(synthesis.actions)}):")
+        for a in synthesis.actions:
+            print(f"  [{a.priority}] {a.action}")
+            print(f"      Owner: {a.owner} | Impact: {a.impact}")
+        print(f"\nEVIDENCE ({len(synthesis.evidence)}):")
+        for e in synthesis.evidence[:3]:
+            print(f"  [{e.sentiment}] \"{e.quote[:60]}...\"")
+            print(f"      Context: {e.context}")
+
+    finally:
+        await llm_client.close()
+        await pool.close()
+
+if __name__ == "__main__":
+    asyncio.run(main())