feat(ml): add date range validation to POST /predict/batch

- Parse start_date and end_date as datetime objects
- Return HTTP 400 if end_date is before start_date
- Return HTTP 400 if date range exceeds 365 days (1 year)

Closes task 5.4 in code-review-fix tasks.

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

openspec/changes/code-review-fix/tasks.md

@@ -44,7 +44,7 @@
 - [x] 5.1 `[sonnet]` Replace `error.message` / traceback details with generic `"Internal server error"` in FastAPI exception handlers at lines 640, 778, 1091, 1134, 1199, 1296 of `services/ml/app/main.py`
 - [x] 5.2 `[opus]` Add SHA256 model integrity check: create `models/checksums.sha256` manifest, verify hash before `joblib.load()` in `services/ml/app/main.py:266`
 - [x] 5.3 `[sonnet]` Add `_model_swap_lock` to prediction reads (not just writes) in `services/ml/app/main.py` for thread-safe model access
-- [ ] 5.4 `[sonnet]` Add date range validation (max 1 year) to `POST /predict/batch` in `services/ml/app/main.py`
+- [x] 5.4 `[sonnet]` Add date range validation (max 1 year) to `POST /predict/batch` in `services/ml/app/main.py`
 - [ ] 5.5 `[sonnet]` Add candle time-sort validation/auto-sort to `POST /predict` in `services/ml/app/main.py`
 - [ ] 5.6 `[sonnet]` Implement real health checks: `SELECT 1` for PostgreSQL, MLflow API ping in `services/ml/app/main.py:396-409`
 - [ ] 5.7 `[sonnet]` Add training resource limits: 500MB dataset size check, 30-minute timeout with status update on expiry in `services/ml/app/main.py:907-1030`

services/ml/app/main.py

@@ -760,6 +760,28 @@ async def predict_batch(request: BatchPredictRequest):
             detail="Pipeline configuration not loaded"
         )
 
+    # Validate date range
+    try:
+        start_dt = datetime.strptime(request.start_date, "%Y-%m-%d")
+        end_dt = datetime.strptime(request.end_date, "%Y-%m-%d")
+    except ValueError as exc:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="Invalid date format. Use YYYY-MM-DD",
+        )
+
+    if end_dt < start_dt:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="end_date must be after start_date",
+        )
+
+    if (end_dt - start_dt).days > 365:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail="Date range cannot exceed 1 year",
+        )
+
     logger.info(
         f"Batch predict: {request.pair} {request.timeframe} "
         f"from {request.start_date} to {request.end_date}"