first commit

backend/app/services/analysis_pipeline.py

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+"""Orchestrates the full analysis pipeline: matching -> flow -> assessment."""
+from uuid import UUID
+
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.models.case import Case, CaseStatus
+from app.services.matching_service import run_matching
+from app.services.assessment_service import assess_case
+from app.services.case_service import recalculate_case_total
+
+
+async def run_analysis_sync(case_id: UUID, db: AsyncSession) -> None:
+    """Run the full analysis pipeline synchronously (fallback when Celery is down)."""
+    case = await db.get(Case, case_id)
+    if not case:
+        return
+
+    case.status = CaseStatus.analyzing
+    await db.flush()
+
+    # Step 1: Matching & dedup
+    self_accounts = _extract_self_accounts(case)
+    await run_matching(case_id, self_accounts, db)
+
+    # Step 2: Assessment
+    await assess_case(case_id, db)
+
+    # Step 3: Recalculate total
+    await recalculate_case_total(case_id, db)
+
+    case.status = CaseStatus.reviewing
+    await db.flush()
+
+
+def _extract_self_accounts(case: Case) -> list[str]:
+    """Extract known self-account identifiers from case context.
+
+    In a full implementation this would come from user input or a
+    dedicated 'victim accounts' table. For now we return an empty list
+    and rely on heuristic rules.
+    """
+    return []