v0.1.11b fixes

backend/app/seed.py

@@ -8,7 +8,7 @@ from pathlib import Path
 import re
 
 from openpyxl import load_workbook
-from sqlalchemy import select
+from sqlalchemy import func, select
 from sqlalchemy.orm import selectinload
 
 from app.db.session import Base, SessionLocal, engine
@@ -726,6 +726,45 @@ def _upsert_product_ingredients(
                     db.delete(ingredient)
 
 
+def seed_product_ingredients_from_workbook(db) -> dict[str, int]:
+    """Backfill row-specific product formulas for databases seeded before this table existed."""
+    try:
+        formula_workbook = _load_workbook("mix_quantites_per_client_per_pr")
+    except FileNotFoundError:
+        logger.info("Skipping product ingredient backfill because formula workbook is missing")
+        return {"formulas": 0, "products_with_formulas": 0, "backfilled": 0}
+    product_ingredient_rows = _read_product_ingredient_rows(formula_workbook)
+    if not product_ingredient_rows:
+        return {"formulas": 0, "products_with_formulas": 0, "backfilled": 0}
+
+    raw_material_map = {
+        material.name: material
+        for material in db.scalars(select(RawMaterial).where(RawMaterial.tenant_id == TENANT_ID)).all()
+    }
+    if not raw_material_map:
+        return {"formulas": len(product_ingredient_rows), "products_with_formulas": 0, "backfilled": 0}
+
+    had_product_ingredients = (
+        db.scalar(select(ProductIngredient.id).where(ProductIngredient.tenant_id == TENANT_ID).limit(1)) is not None
+    )
+    _upsert_product_ingredients(
+        db,
+        product_rows=[],
+        product_ingredient_rows=product_ingredient_rows,
+        raw_material_map=raw_material_map,
+    )
+    db.flush()
+
+    products_with_formulas = db.scalar(
+        select(func.count(func.distinct(ProductIngredient.product_id))).where(ProductIngredient.tenant_id == TENANT_ID)
+    )
+    return {
+        "formulas": len(product_ingredient_rows),
+        "products_with_formulas": int(products_with_formulas or 0),
+        "backfilled": 0 if had_product_ingredients else int(products_with_formulas or 0),
+    }
+
+
 def _infer_throughput_bag_size(product: Product) -> float | None:
     if product.sale_type == "bulka":
         return None
@@ -1027,6 +1066,9 @@ def seed_startup_basics():
         seed_client_access(db)
         seed_access(db)
         seed_throughput_workbook(db)
+        report = seed_product_ingredients_from_workbook(db)
+        if report["backfilled"]:
+            logger.info("Product ingredients backfilled from workbook: %s", report)
         db.commit()