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Also standardized money formatting across the application."}}],["b_YWI6D0SXPo4",{"git":{"ref":"main","sha":"3bca258c22c1db68bbecb6125bca0444e0ccb928","type":"github","repoId":0,"repoName":"v0-1-team_0hKPMR7g2t6xYbDiCW2I7L95-BYZIoFstyWM","ownerName":"v0-git-s3-storage","commitMessage":"feat: optimize select_for_update for PostgreSQL compatibility and consistency in money formatting\n\nAdjusted select_for_update to scope locks to the row being mutated, avoiding PostgreSQL errors with nullable fields. Also standardized money formatting across the application."}}]] 46:o7eb,110:[["b_5hMl9DmecPO",null],["b_9EmMGVuOIOj",null],["b_XhBFu9KaA5H",null],["b_yDoiV6gN6CR",null],["b_AtJQJe1buIr",null],["b_5Tyg2APasI5",null],["b_OrVqmRGrHMi",null],["b_NMdTkp0D476",null],["b_q7CVpXbQrFD",null],["b_4UpAeas8OWE",null],["b_YWI6D0SXPo4",null]] 111:[["b_5hMl9DmecPO",true],["b_9EmMGVuOIOj",true],["b_XhBFu9KaA5H",true],["b_yDoiV6gN6CR",true],["b_AtJQJe1buIr",true],["b_5Tyg2APasI5",true],["b_OrVqmRGrHMi",true],["b_NMdTkp0D476",true],["b_q7CVpXbQrFD",true],["b_4UpAeas8OWE",true],["b_YWI6D0SXPo4",true]] 112:[["b_5hMl9DmecPO",true],["b_9EmMGVuOIOj",true],["b_XhBFu9KaA5H",true],["b_yDoiV6gN6CR",true],["b_AtJQJe1buIr",true],["b_5Tyg2APasI5",true],["b_OrVqmRGrHMi",true],["b_NMdTkp0D476",true],["b_q7CVpXbQrFD",true],["b_4UpAeas8OWE",true],["b_YWI6D0SXPo4",true]] 113:[] 114:T4c9,I'm identifying which joins need to be LEFT JOINs due to nullable foreign keys. The customer field in Cart can be null for guest carts, and the variant field in CartItem is also nullable, so both querysets need the `of=("self",)` parameter to handle these nullable relationships correctly. For Wishlist, I need to verify whether the customer field is actually nullable—if wishlists require a customer, it would be an INNER JOIN and wouldn't need the parameter. The variant field in wishlist items is nullable though, so that one definitely needs `of=("self",)`. There's also a potential performance concern with the stock item query in orders/services.py—the inner join on warehouse combined with the FOR UPDATE lock could unnecessarily lock warehouse rows and create contention across all products in that warehouse, though it's technically legal in Postgres. Now I'm seeing the real issue: in orders/services.py:386, the CartItem query uses select_related on both product and variant, but since variant is nullable, that creates a LEFT JOIN inside a FOR UPDATE lock—that's the bug causing the checkout failure. I need to check the cart services code around lines 184-205 and 254-280 to understand the full picture.115:T5c7,46:o5c7,The ordering uses `id` as a tiebreaker, which is a UUID that gets stored differently across databases—SQLite treats it as text while Postgres uses native UUID byte ordering. This means the sort order is deterministic within each database but varies between them. Since UUIDs provide stable but arbitrary ordering, it's still acceptable for pagination purposes as long as there are no duplicates or skipped records. The test failure shows a different set of items entirely, not just a different order, which suggests the prices themselves might be tied in the fixture data. When prices match, the UUID tiebreaker kicks in and produces different page compositions across SQLite and Postgres. This is benign from a production standpoint—pagination remains stable within a single database—but the test is now coupled to SQLite's specific UUID collation behavior, which won't match Postgres in production. Looking at the price serialization itself, Postgres returns "75.00" as a string while SQLite returns "75", and the correct API contract should be "75.00" to match how prices are serialized elsewhere. So the Postgres behavior is actually correct here, and the test is asserting a SQLite artifact. The deeper problem is that the entire test suite runs on SQLite while production uses Postgres, which is how these discrepancies slip through undetected. Let me examine the fixture to verify the price values, then update the tests to assert the production-correct behavior.46:oa,116:T3eb9,46:o3eb9,[V0_FILE]python:file="/backend/apps/catalog/search.py" from __future__ import annotations import re from dataclasses import dataclass from decimal import Decimal, InvalidOperation from math import ceil from typing import Any from django.db.models import ( Case, Count, Exists, F, IntegerField, Max, Min, OuterRef, Prefetch, Q, QuerySet, Subquery, Value, When, ) from django.db.models.functions import Coalesce from rest_framework.request import Request from apps.shared_kernel.api.errors import ValidationError from .models import Category, Product, ProductAttribute, ProductAttributeValue, ProductMedia ATTRIBUTE_PREFIX = "attribute." ATTRIBUTE_CODE_RE = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$") BASE_PARAMS = { "q", "brand", "category", "min_price", "max_price", "availability", "sort", "page", "page_size", } SORTS = {"relevance", "newest", "price_asc", "price_desc", "name_asc"} MAX_ATTRIBUTES = 10 MAX_PARAMETERS = 20 @dataclass(frozen=True) class SearchQuery: keyword: str | None brand: str | None category: str | None min_price: Decimal | None max_price: Decimal | None availability: str | None attributes: tuple[tuple[ProductAttribute, Any], ...] sort: str page: int page_size: int @property def filter_names(self) -> list[str]: names = [ name for name, value in ( ("q", self.keyword), ("brand", self.brand), ("category", self.category), ("min_price", self.min_price), ("max_price", self.max_price), ("availability", self.availability), ) if value is not None ] if self.attributes: names.append("attributes") return names @dataclass(frozen=True) class SearchPage: items: QuerySet[Product] metadata: dict[str, int | bool] facets: dict[str, Any] def _error(field: str, message: str) -> ValidationError: return ValidationError(details=[{"field": field, "message": message}]) def _single_value(request: Request, key: str) -> str | None: values = request.query_params.getlist(key) if len(values) > 1: raise _error(key, "Query parameter must not be repeated.") if not values: return None value = values[0].strip() return value or None def _integer(request: Request, key: str, default: int, maximum: int | None = None) -> int: raw = _single_value(request, key) if raw is None: return default try: value = int(raw) except ValueError as exc: raise _error(key, "Must be an integer.") from exc if value < 1 or (maximum is not None and value > maximum): suffix = f" between 1 and {maximum}" if maximum else " a positive integer" raise _error(key, f"Must be{suffix}.") return value def _money(request: Request, key: str) -> Decimal | None: raw = _single_value(request, key) if raw is None: return None try: value = Decimal(raw) except InvalidOperation as exc: raise _error(key, "Must be a decimal amount.") from exc exponent = value.as_tuple().exponent has_excess_precision = isinstance(exponent, int) and exponent < -2 if not value.is_finite() or value < 0 or has_excess_precision: raise _error(key, "Must be a non-negative amount with at most 2 decimal places.") if value >= Decimal("1000000000000"): raise _error(key, "Amount is too large.") return value def _coerce_attribute(attribute: ProductAttribute, raw: str) -> Any: field = f"attribute.{attribute.code}" if len(raw) > 200: raise _error(field, "Attribute value is too long.") if attribute.data_type == ProductAttribute.DataType.TEXT: return raw if attribute.data_type == ProductAttribute.DataType.BOOLEAN: normalized = raw.lower() if normalized not in {"true", "false"}: raise _error(field, "Must be true or false.") return normalized == "true" if attribute.data_type == ProductAttribute.DataType.INTEGER: try: return int(raw) except ValueError as exc: raise _error(field, "Must be an integer.") from exc try: value = Decimal(raw) except InvalidOperation as exc: raise _error(field, "Must be a decimal.") from exc if not value.is_finite(): raise _error(field, "Must be a finite decimal.") return float(value) def parse_search_query(request: Request) -> SearchQuery: keys = list(request.query_params.keys()) if len(keys) > MAX_PARAMETERS: raise _error("query", f"At most {MAX_PARAMETERS} query parameters are allowed.") attribute_keys = [key for key in keys if key.startswith(ATTRIBUTE_PREFIX)] unknown = sorted(set(keys) - BASE_PARAMS - set(attribute_keys)) if unknown: raise ValidationError( details=[{"field": key, "message": "Unknown query parameter."} for key in unknown] ) if len(attribute_keys) > MAX_ATTRIBUTES: raise _error("attributes", f"At most {MAX_ATTRIBUTES} attribute filters are allowed.") keyword = _single_value(request, "q") if keyword is not None and not 2 <= len(keyword) <= 100: raise _error("q", "Must contain between 2 and 100 characters.") min_price = _money(request, "min_price") max_price = _money(request, "max_price") if min_price is not None and max_price is not None and min_price > max_price: raise _error("min_price", "Must be less than or equal to max_price.") availability = _single_value(request, "availability") if availability is not None and availability not in Product.Availability.values: raise _error("availability", "Unsupported availability value.") attributes: list[tuple[ProductAttribute, Any]] = [] for key in sorted(attribute_keys): code = key.removeprefix(ATTRIBUTE_PREFIX) if not code or len(code) > 80 or ATTRIBUTE_CODE_RE.fullmatch(code) is None: raise _error(key, "Invalid attribute code.") raw = _single_value(request, key) if raw is None: raise _error(key, "Attribute value is required.") try: attribute = ProductAttribute.objects.get(code=code) except ProductAttribute.DoesNotExist as exc: raise _error(key, "Unknown attribute.") from exc attributes.append((attribute, _coerce_attribute(attribute, raw))) sort = _single_value(request, "sort") or ("relevance" if keyword else "newest") if sort not in SORTS: raise _error("sort", "Unsupported sort value.") if sort == "relevance" and keyword is None: raise _error("sort", "Relevance sorting requires q.") return SearchQuery( keyword=keyword, brand=_single_value(request, "brand"), category=_single_value(request, "category"), min_price=min_price, max_price=max_price, availability=availability, attributes=tuple(attributes), sort=sort, page=_integer(request, "page", 1), page_size=_integer(request, "page_size", 20, 100), ) def public_product_queryset() -> QuerySet[Product]: return ( Product.objects.filter( status=Product.Status.PUBLISHED, visibility=Product.Visibility.PUBLIC, brand__is_active=True, brand__deleted_at__isnull=True, primary_category__is_active=True, primary_category__deleted_at__isnull=True, ) .select_related("brand", "primary_category") .prefetch_related( Prefetch( "media", queryset=ProductMedia.objects.filter(is_primary=True), to_attr="public_primary_media", ) ) ) def _category_facets(products: QuerySet[Product]) -> list[dict[str, Any]]: """Count every active assignment, not only the mirrored primary column. ``search_products`` resolves ``category`` against primary *and* secondary links, so the facet list has to be built the same way. Counting ``primary_category`` alone left subcategories filterable by URL but absent from the filter UI. Each row also carries its parent so the storefront can render the governed hierarchy instead of a flat list. """ # Correlated per-category count of the public products assigned to it, # de-duplicated so a product linked twice is never counted twice. assigned = ( Product.objects.filter( Q(pk__in=products.order_by().values("pk")), Q(primary_category_id=OuterRef("pk")) | Q( category_links__category_id=OuterRef("pk"), category_links__deleted_at__isnull=True, ), ) .order_by() .annotate(bucket=Value(1)) .values("bucket") .annotate(total=Count("pk", distinct=True)) .values("total") ) rows = ( Category.objects.filter(is_active=True) .annotate(count=Coalesce(Subquery(assigned, output_field=IntegerField()), 0)) .filter(count__gt=0) .select_related("parent") # Honour the order merchandisers configured in the admin taxonomy. .order_by("sort_order", "name") ) facets: list[dict[str, Any]] = [] for row in rows: parent = row.parent if row.parent_id else None # A withdrawn parent must not leak into public navigation labels. visible_parent = ( parent if parent and parent.is_active and parent.deleted_at is None else None ) facets.append( { "slug": row.slug, "name": row.name, "count": row.count, "parent_slug": visible_parent.slug if visible_parent else None, "parent_name": visible_parent.name if visible_parent else None, } ) return facets def _money_string(amount: Any) -> str | None: """Render an aggregated money bound the same way every other price is exposed. Aggregates come back as a plain number on some backends and a scaled Decimal on others, which would otherwise leak "75" vs "75.00" into the public contract. """ if amount is None: return None return f"{Decimal(str(amount)).quantize(Decimal('0.01'))}" def _facet_metadata() -> dict[str, Any]: """Return stable filter choices sourced only from the public catalog.""" products = public_product_queryset() brands = list( products.values("brand__slug", "brand__name") .annotate(count=Count("id")) .order_by("brand__name") ) availability_counts = { row["availability"]: row["count"] for row in products.values("availability").annotate(count=Count("id")) } price = products.aggregate(minimum=Min("price_amount"), maximum=Max("price_amount")) attribute_rows = ( ProductAttributeValue.objects.filter( product__in=products, attribute__deleted_at__isnull=True, ) .filter( Q(variant__isnull=True) | Q(variant__is_active=True, variant__deleted_at__isnull=True) ) .select_related("attribute") .values("attribute__code", "attribute__name", "attribute__data_type", "value") .annotate(count=Count("product_id", distinct=True)) .order_by("attribute__name", "value") ) attributes: dict[str, dict[str, Any]] = {} for row in attribute_rows: code = row["attribute__code"] facet = attributes.setdefault( code, { "code": code, "name": row["attribute__name"], "data_type": row["attribute__data_type"], "options": [], }, ) facet["options"].append({"value": row["value"], "count": row["count"]}) return { "brands": [ {"slug": row["brand__slug"], "name": row["brand__name"], "count": row["count"]} for row in brands ], "categories": _category_facets(products), "availability": [ {"value": value, "label": label, "count": availability_counts.get(value, 0)} for value, label in Product.Availability.choices ], "price": { "min": _money_string(price["minimum"]), "max": _money_string(price["maximum"]), }, "attributes": list(attributes.values()), } def search_products(query: SearchQuery) -> SearchPage: queryset = public_product_queryset() if query.brand: queryset = queryset.filter(brand__slug=query.brand) if query.category: # Match any assignment (primary or secondary) so a product listed under # several subcategories is discoverable from each of them. queryset = queryset.filter( Q(primary_category__slug=query.category) | Q( category_links__category__slug=query.category, category_links__deleted_at__isnull=True, category_links__category__is_active=True, ) ).distinct() if query.min_price is not None: queryset = queryset.filter(price_amount__gte=query.min_price) if query.max_price is not None: queryset = queryset.filter(price_amount__lte=query.max_price) if query.availability: queryset = queryset.filter(availability=query.availability) if query.keyword: keyword_filter = ( Q(name__icontains=query.keyword) | Q(sku__icontains=query.keyword) | Q(slug__icontains=query.keyword) ) queryset = queryset.filter(keyword_filter).annotate( relevance=Case( When(name__iexact=query.keyword, then=Value(500)), When(sku__iexact=query.keyword, then=Value(450)), When(slug__iexact=query.keyword, then=Value(400)), When(name__istartswith=query.keyword, then=Value(300)), When(sku__istartswith=query.keyword, then=Value(250)), When(slug__istartswith=query.keyword, then=Value(200)), default=Value(100), output_field=IntegerField(), ) ) for index, (attribute, value) in enumerate(query.attributes): matching_values = ProductAttributeValue.objects.filter( product_id=OuterRef("pk"), attribute=attribute, value=value, ).filter( Q(variant__isnull=True) | Q(variant__is_active=True, variant__deleted_at__isnull=True) ) match_name = f"attribute_match_{index}" queryset = queryset.annotate(**{match_name: Exists(matching_values)}).filter( **{match_name: True} ) # Unpriced products must never lead a price sort. NULL placement is not portable — # PostgreSQL sorts NULLs first on DESC while SQLite sorts them last — so the position # is pinned explicitly instead of inherited from the backend default. ordering = { "relevance": ("-relevance", "id"), "newest": ("-created_at", "id"), "price_asc": (F("price_amount").asc(nulls_last=True), "id"), "price_desc": (F("price_amount").desc(nulls_last=True), "id"), "name_asc": ("name", "id"), }[query.sort] queryset = queryset.order_by(*ordering) total = queryset.count() total_pages = ceil(total / query.page_size) if total else 0 start = (query.page - 1) * query.page_size items = queryset[start : start + query.page_size] return SearchPage( items=items, metadata={ "number": query.page, "size": query.page_size, "total_items": total, "total_pages": total_pages, "has_next": query.page < total_pages, "has_previous": query.page > 1 and total_pages > 0, }, facets=_facet_metadata(), )46:oa,117:T3eb9,46:o3eb9,[V0_FILE]python:file="/backend/apps/catalog/search.py" from __future__ import annotations import re from dataclasses import dataclass from decimal import Decimal, InvalidOperation from math import ceil from typing import Any from django.db.models import ( Case, Count, Exists, F, IntegerField, Max, Min, OuterRef, Prefetch, Q, QuerySet, Subquery, Value, When, ) from django.db.models.functions import Coalesce from rest_framework.request import Request from apps.shared_kernel.api.errors import ValidationError from .models import Category, Product, ProductAttribute, ProductAttributeValue, ProductMedia ATTRIBUTE_PREFIX = "attribute." ATTRIBUTE_CODE_RE = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$") BASE_PARAMS = { "q", "brand", "category", "min_price", "max_price", "availability", "sort", "page", "page_size", } SORTS = {"relevance", "newest", "price_asc", "price_desc", "name_asc"} MAX_ATTRIBUTES = 10 MAX_PARAMETERS = 20 @dataclass(frozen=True) class SearchQuery: keyword: str | None brand: str | None category: str | None min_price: Decimal | None max_price: Decimal | None availability: str | None attributes: tuple[tuple[ProductAttribute, Any], ...] sort: str page: int page_size: int @property def filter_names(self) -> list[str]: names = [ name for name, value in ( ("q", self.keyword), ("brand", self.brand), ("category", self.category), ("min_price", self.min_price), ("max_price", self.max_price), ("availability", self.availability), ) if value is not None ] if self.attributes: names.append("attributes") return names @dataclass(frozen=True) class SearchPage: items: QuerySet[Product] metadata: dict[str, int | bool] facets: dict[str, Any] def _error(field: str, message: str) -> ValidationError: return ValidationError(details=[{"field": field, "message": message}]) def _single_value(request: Request, key: str) -> str | None: values = request.query_params.getlist(key) if len(values) > 1: raise _error(key, "Query parameter must not be repeated.") if not values: return None value = values[0].strip() return value or None def _integer(request: Request, key: str, default: int, maximum: int | None = None) -> int: raw = _single_value(request, key) if raw is None: return default try: value = int(raw) except ValueError as exc: raise _error(key, "Must be an integer.") from exc if value < 1 or (maximum is not None and value > maximum): suffix = f" between 1 and {maximum}" if maximum else " a positive integer" raise _error(key, f"Must be{suffix}.") return value def _money(request: Request, key: str) -> Decimal | None: raw = _single_value(request, key) if raw is None: return None try: value = Decimal(raw) except InvalidOperation as exc: raise _error(key, "Must be a decimal amount.") from exc exponent = value.as_tuple().exponent has_excess_precision = isinstance(exponent, int) and exponent < -2 if not value.is_finite() or value < 0 or has_excess_precision: raise _error(key, "Must be a non-negative amount with at most 2 decimal places.") if value >= Decimal("1000000000000"): raise _error(key, "Amount is too large.") return value def _coerce_attribute(attribute: ProductAttribute, raw: str) -> Any: field = f"attribute.{attribute.code}" if len(raw) > 200: raise _error(field, "Attribute value is too long.") if attribute.data_type == ProductAttribute.DataType.TEXT: return raw if attribute.data_type == ProductAttribute.DataType.BOOLEAN: normalized = raw.lower() if normalized not in {"true", "false"}: raise _error(field, "Must be true or false.") return normalized == "true" if attribute.data_type == ProductAttribute.DataType.INTEGER: try: return int(raw) except ValueError as exc: raise _error(field, "Must be an integer.") from exc try: value = Decimal(raw) except InvalidOperation as exc: raise _error(field, "Must be a decimal.") from exc if not value.is_finite(): raise _error(field, "Must be a finite decimal.") return float(value) def parse_search_query(request: Request) -> SearchQuery: keys = list(request.query_params.keys()) if len(keys) > MAX_PARAMETERS: raise _error("query", f"At most {MAX_PARAMETERS} query parameters are allowed.") attribute_keys = [key for key in keys if key.startswith(ATTRIBUTE_PREFIX)] unknown = sorted(set(keys) - BASE_PARAMS - set(attribute_keys)) if unknown: raise ValidationError( details=[{"field": key, "message": "Unknown query parameter."} for key in unknown] ) if len(attribute_keys) > MAX_ATTRIBUTES: raise _error("attributes", f"At most {MAX_ATTRIBUTES} attribute filters are allowed.") keyword = _single_value(request, "q") if keyword is not None and not 2 <= len(keyword) <= 100: raise _error("q", "Must contain between 2 and 100 characters.") min_price = _money(request, "min_price") max_price = _money(request, "max_price") if min_price is not None and max_price is not None and min_price > max_price: raise _error("min_price", "Must be less than or equal to max_price.") availability = _single_value(request, "availability") if availability is not None and availability not in Product.Availability.values: raise _error("availability", "Unsupported availability value.") attributes: list[tuple[ProductAttribute, Any]] = [] for key in sorted(attribute_keys): code = key.removeprefix(ATTRIBUTE_PREFIX) if not code or len(code) > 80 or ATTRIBUTE_CODE_RE.fullmatch(code) is None: raise _error(key, "Invalid attribute code.") raw = _single_value(request, key) if raw is None: raise _error(key, "Attribute value is required.") try: attribute = ProductAttribute.objects.get(code=code) except ProductAttribute.DoesNotExist as exc: raise _error(key, "Unknown attribute.") from exc attributes.append((attribute, _coerce_attribute(attribute, raw))) sort = _single_value(request, "sort") or ("relevance" if keyword else "newest") if sort not in SORTS: raise _error("sort", "Unsupported sort value.") if sort == "relevance" and keyword is None: raise _error("sort", "Relevance sorting requires q.") return SearchQuery( keyword=keyword, brand=_single_value(request, "brand"), category=_single_value(request, "category"), min_price=min_price, max_price=max_price, availability=availability, attributes=tuple(attributes), sort=sort, page=_integer(request, "page", 1), page_size=_integer(request, "page_size", 20, 100), ) def public_product_queryset() -> QuerySet[Product]: return ( Product.objects.filter( status=Product.Status.PUBLISHED, visibility=Product.Visibility.PUBLIC, brand__is_active=True, brand__deleted_at__isnull=True, primary_category__is_active=True, primary_category__deleted_at__isnull=True, ) .select_related("brand", "primary_category") .prefetch_related( Prefetch( "media", queryset=ProductMedia.objects.filter(is_primary=True), to_attr="public_primary_media", ) ) ) def _category_facets(products: QuerySet[Product]) -> list[dict[str, Any]]: """Count every active assignment, not only the mirrored primary column. ``search_products`` resolves ``category`` against primary *and* secondary links, so the facet list has to be built the same way. Counting ``primary_category`` alone left subcategories filterable by URL but absent from the filter UI. Each row also carries its parent so the storefront can render the governed hierarchy instead of a flat list. """ # Correlated per-category count of the public products assigned to it, # de-duplicated so a product linked twice is never counted twice. assigned = ( Product.objects.filter( Q(pk__in=products.order_by().values("pk")), Q(primary_category_id=OuterRef("pk")) | Q( category_links__category_id=OuterRef("pk"), category_links__deleted_at__isnull=True, ), ) .order_by() .annotate(bucket=Value(1)) .values("bucket") .annotate(total=Count("pk", distinct=True)) .values("total") ) rows = ( Category.objects.filter(is_active=True) .annotate(count=Coalesce(Subquery(assigned, output_field=IntegerField()), 0)) .filter(count__gt=0) .select_related("parent") # Honour the order merchandisers configured in the admin taxonomy. .order_by("sort_order", "name") ) facets: list[dict[str, Any]] = [] for row in rows: parent = row.parent if row.parent_id else None # A withdrawn parent must not leak into public navigation labels. visible_parent = ( parent if parent and parent.is_active and parent.deleted_at is None else None ) facets.append( { "slug": row.slug, "name": row.name, "count": row.count, "parent_slug": visible_parent.slug if visible_parent else None, "parent_name": visible_parent.name if visible_parent else None, } ) return facets def _money_string(amount: Any) -> str | None: """Render an aggregated money bound the same way every other price is exposed. Aggregates come back as a plain number on some backends and a scaled Decimal on others, which would otherwise leak "75" vs "75.00" into the public contract. """ if amount is None: return None return f"{Decimal(str(amount)).quantize(Decimal('0.01'))}" def _facet_metadata() -> dict[str, Any]: """Return stable filter choices sourced only from the public catalog.""" products = public_product_queryset() brands = list( products.values("brand__slug", "brand__name") .annotate(count=Count("id")) .order_by("brand__name") ) availability_counts = { row["availability"]: row["count"] for row in products.values("availability").annotate(count=Count("id")) } price = products.aggregate(minimum=Min("price_amount"), maximum=Max("price_amount")) attribute_rows = ( ProductAttributeValue.objects.filter( product__in=products, attribute__deleted_at__isnull=True, ) .filter( Q(variant__isnull=True) | Q(variant__is_active=True, variant__deleted_at__isnull=True) ) .select_related("attribute") .values("attribute__code", "attribute__name", "attribute__data_type", "value") .annotate(count=Count("product_id", distinct=True)) .order_by("attribute__name", "value") ) attributes: dict[str, dict[str, Any]] = {} for row in attribute_rows: code = row["attribute__code"] facet = attributes.setdefault( code, { "code": code, "name": row["attribute__name"], "data_type": row["attribute__data_type"], "options": [], }, ) facet["options"].append({"value": row["value"], "count": row["count"]}) return { "brands": [ {"slug": row["brand__slug"], "name": row["brand__name"], "count": row["count"]} for row in brands ], "categories": _category_facets(products), "availability": [ {"value": value, "label": label, "count": availability_counts.get(value, 0)} for value, label in Product.Availability.choices ], "price": { "min": _money_string(price["minimum"]), "max": _money_string(price["maximum"]), }, "attributes": list(attributes.values()), } def search_products(query: SearchQuery) -> SearchPage: queryset = public_product_queryset() if query.brand: queryset = queryset.filter(brand__slug=query.brand) if query.category: # Match any assignment (primary or secondary) so a product listed under # several subcategories is discoverable from each of them. queryset = queryset.filter( Q(primary_category__slug=query.category) | Q( category_links__category__slug=query.category, category_links__deleted_at__isnull=True, category_links__category__is_active=True, ) ).distinct() if query.min_price is not None: queryset = queryset.filter(price_amount__gte=query.min_price) if query.max_price is not None: queryset = queryset.filter(price_amount__lte=query.max_price) if query.availability: queryset = queryset.filter(availability=query.availability) if query.keyword: keyword_filter = ( Q(name__icontains=query.keyword) | Q(sku__icontains=query.keyword) | Q(slug__icontains=query.keyword) ) queryset = queryset.filter(keyword_filter).annotate( relevance=Case( When(name__iexact=query.keyword, then=Value(500)), When(sku__iexact=query.keyword, then=Value(450)), When(slug__iexact=query.keyword, then=Value(400)), When(name__istartswith=query.keyword, then=Value(300)), When(sku__istartswith=query.keyword, then=Value(250)), When(slug__istartswith=query.keyword, then=Value(200)), default=Value(100), output_field=IntegerField(), ) ) for index, (attribute, value) in enumerate(query.attributes): matching_values = ProductAttributeValue.objects.filter( product_id=OuterRef("pk"), attribute=attribute, value=value, ).filter( Q(variant__isnull=True) | Q(variant__is_active=True, variant__deleted_at__isnull=True) ) match_name = f"attribute_match_{index}" queryset = queryset.annotate(**{match_name: Exists(matching_values)}).filter( **{match_name: True} ) # Unpriced products must never lead a price sort. NULL placement is not portable — # PostgreSQL sorts NULLs first on DESC while SQLite sorts them last — so the position # is pinned explicitly instead of inherited from the backend default. ordering = { "relevance": ("-relevance", "id"), "newest": ("-created_at", "id"), "price_asc": (F("price_amount").asc(nulls_last=True), "id"), "price_desc": (F("price_amount").desc(nulls_last=True), "id"), "name_asc": ("name", "id"), }[query.sort] queryset = queryset.order_by(*ordering) total = queryset.count() total_pages = ceil(total / query.page_size) if total else 0 start = (query.page - 1) * query.page_size items = queryset[start : start + query.page_size] return SearchPage( items=items, metadata={ "number": query.page, "size": query.page_size, "total_items": total, "total_pages": total_pages, "has_next": query.page < total_pages, "has_previous": query.page > 1 and total_pages > 0, }, facets=_facet_metadata(), )46:o19349,f2:["$","$Lf4",null,{"params":{"chatId":"BYZIoFstyWM"},"promises":{"attributes":"$@fe","externalMeta":"$@ff","latest":"$@100","messagesRange":"$@101","messages":"$@102","template":"$@103","gitStatus":"$@104"},"children":["$","$L106",null,{"chatId":"BYZIoFstyWM","children":["$","$L107",null,{"seedOnlyKeys":["@\"chat:state\",\"BYZIoFstyWM\","],"data":{"block:output:initial":{"id":"b_YWI6D0SXPo4","result":"$@108"},"/chat/api/snapshots/proxy?chatId=BYZIoFstyWM&messageId=IHB4MuG9yOyr4WVioXuRQDRn7i6gnyeN&v=v2":"$@109","@\"block:mappings\",\"BYZIoFstyWM\",":{"sqlBlockExecutionStates":"$Q10a","blocksForkedFrom":"$Q10b","blocksTemplateIds":"$Q10c","blocksCreatedAt":"$Q10d","blocksShared":"$Q10e","blocksDeployed":"$Q10f","blocksSubdomains":"$Q110","brandedBlocks":"$Q111","unlistedBlocks":"$Q112","blockOutputs":"$Q113"},"@\"chat:state\",\"BYZIoFstyWM\",":{"messages":[{"content":{"type":"parts","parts":[],"version":1},"role":"user","id":"KY8gO7bRGY3KJfy7jVtgF8CXLdQMJ6I7","type":"message","isContentLoading":true,"authorId":"","createdAt":"$D2026-07-27T03:22:08.156Z"},{"content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"Loading..."]]]],[1,{"title":"Loading message"}]]},"loadingBlocks":[{"blockId":"Rxwv9coA5cW","type":"code-project","isVersioned":true}],"isContentLoading":true,"role":"assistant","id":"hpqQlcayckJELFlrvtmE34okniuAE9m7","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"KY8gO7bRGY3KJfy7jVtgF8CXLdQMJ6I7","type":"message","createdAt":"$D2026-07-27T03:22:09.156Z"},{"content":{"type":"parts","parts":[],"version":1},"role":"user","id":"jr6FgMBCeBEYMMv0RA4xjVckfvnO9Gob","parentId":"hpqQlcayckJELFlrvtmE34okniuAE9m7","type":"message","isContentLoading":true,"authorId":"","createdAt":"$D2026-07-27T03:22:45.083Z"},{"content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"Loading..."]]]],[1,{"title":"Loading message"}]]},"loadingBlocks":[],"isContentLoading":true,"role":"assistant","id":"SKN4PCenvYhXjUoFfLUjkSWgPBKtDyra","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"jr6FgMBCeBEYMMv0RA4xjVckfvnO9Gob","type":"message","createdAt":"$D2026-07-27T03:22:45.084Z"},{"content":{"type":"parts","parts":[{"type":"answered-questions","answers":[{"questionId":"q-0","questionText":"The Django backend targets PostgreSQL (ADR-017) but no database exists in this sandbox. How should I provision one so I can run migrations and actually exercise the API?","selectedLabels":["Local PostgreSQL via dnf (Recommended)"]},{"questionId":"q-1","questionText":"How deep should this verification go? The backend has 18 domain apps plus its own pytest suite, and the frontend has storefront, checkout, account, and admin surfaces.","selectedLabels":["Full end-to-end sweep (Recommended)"]},{"questionId":"q-2","questionText":"When I find integration bugs, how should I handle them?","selectedLabels":["Fix as I go, then summarize (Recommended)"]}]}],"version":1},"role":"user","id":"hXdmsgLcMiFHBFhRYv7CAOjn1bwWFo6z","attachments":[],"parentId":"SKN4PCenvYhXjUoFfLUjkSWgPBKtDyra","type":"answered-questions","authorId":"JZHFEuaJPfriOD7osU1PxL17","createdAt":"$D2026-07-27T03:25:19.861Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785122724571,"finishedAt":1785122724989,"lastPartSentAt":1785122724989,"taskNameActive":null,"id":"DQigBwKfUrRY5EpR","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm mapping out the setup process: install Postgres through dnf, get Python dependencies via uv, run migrations and seed the database, execute the test suite, then verify everything works in the browser."}]}}],["p",{},["text",{},"Local Postgres, full end-to-end sweep, fix as I go. Let me set up tracking and get the environment stood up."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122726630,"finishedAt":1785122727210,"lastPartSentAt":1785122727189,"taskNameActive":"Planning verification sweep","taskNameComplete":"Planned verification sweep","toolCallId":"toolu_01CvJt6PT2q4Qv83X25GabMN","agentTurnId":"turn_IGgtiPAXLytwRbqn","filePath":null,"id":"9Pc2LQJ7c4b5YSx4","type":"task-manage-todos-v1","parts":[{"type":"starting-todo-manager"},{"type":"updated-todo-list","updatedList":[{"status":"in-progress","task":"Provision PostgreSQL and install backend dependencies"},{"status":"todo","task":"Run migrations and seed data, get Django serving on :8000"},{"status":"todo","task":"Run backend pytest suite and fix failures"},{"status":"todo","task":"Audit frontend API clients against Django contracts"},{"status":"todo","task":"Verify storefront, cart, and checkout flows in browser"},{"status":"todo","task":"Verify auth, account, and admin flows in browser"},{"status":"todo","task":"Summarize findings and fixes"}]}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122730409,"finishedAt":1785122730816,"lastPartSentAt":1785122730816,"taskNameActive":null,"id":"zIPupC5j2DQKrVbd","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'll start the postgres and python dependency installations in parallel since postgres might take a bit longer. Then I need to check the requirements files again since some content was left out."}]}}],["p",{},["text",{},"Let me install PostgreSQL and inspect the exact dependency list in parallel."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122732118,"finishedAt":1785122734989,"stopped":{"reason":"permissions","suggestedPermissions":[{"type":"ALLOW_DYNAMIC_TOOL_STRICT","toolName":"Bash","input":{"command":"sudo dnf install -y postgresql-server postgresql postgresql-contrib 2>&1 | tail -15","timeout":600000},"userMessage":"Run command"}],"permissionPrompt":"Install PostgreSQL server and client packages into the sandbox via dnf so the Django backend has a database to migrate against.","isMaybeDangerous":false,"rememberPatterns":["Bash(tail -15)"],"icon":"TerminalWindow"},"lastPartSentAt":1785122734964,"taskNameActive":"Installing PostgreSQL","taskNameComplete":"Installed PostgreSQL","toolCallId":"toolu_014SxWZ9tuc3ezSpRGSXJk9g","agentTurnId":"turn_4ko05JYaY5wVo3qZ","filePath":null,"id":"7pRedoYo41Hy6WHN","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"sudo dnf install -y postgresql-server postgresql postgresql-contrib 2>&1 | tail -15","timeout":600000}}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122733966,"finishedAt":1785122735913,"lastPartSentAt":1785122735774,"taskNameActive":"Reading requirements","taskNameComplete":"Read requirements","toolCallId":"toolu_01VhZ6RDx8BuLDTPaeoTaD3u","agentTurnId":"turn_4ko05JYaY5wVo3qZ","filePath":null,"id":"N5Lx3lf0B1ooKFLW","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && for f in requirements/*.txt; do echo \"=== $f ===\"; cat \"$f\"; done && echo \"=== manage.py ===\" && cat manage.py && echo \"=== pytest.ini / setup.cfg / pyproject ===\" && cat pytest.ini setup.cfg pyproject.toml 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"6rXa9U9YTyJ8eGtM"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== requirements/base.txt ===\n# Core backend runtime (ADR-016) — pinned to current stable majors.\nDjango==5.1.15\ndjangorestframework==3.15.2\ndjango-cors-headers==4.6.0\ndjango-environ==0.11.2\nstripe==15.3.1\n# PostgreSQL driver (ADR-017)\npsycopg[binary"},"id":"rij76yFus33IXVVx"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"]==3.2.3\n=== requirements/dev.txt ===\n-r base.txt\n\n# Local development & test tooling (TDD — see execution rules).\npytest\n\n...\n\nE = \"config.settings.test\"\npython_files = [\"test_*.py\", \"tests.py\"]\ntestpaths = [\"apps\"]\naddopts = \"-ra --strict-markers\"\n"},"id":"b6m33JgKNsFetoJ5"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"nEmKvPQBEAlOII5pcZOpDWSlbwvQSCie","gitRevision":null,"streaming":false,"finishReason":"tool-calls","parentId":"hXdmsgLcMiFHBFhRYv7CAOjn1bwWFo6z","type":"message","creditCost":0.139498,"workMetrics":{"diffMap":{},"agentActions":3},"createdAt":"$D2026-07-27T03:25:19.862Z","updatedAt":"$D2026-07-27T03:25:36.144Z"},{"content":{"type":"parts","parts":[{"type":"confirmed-permissions","permissions":[{"type":"ALLOW_DYNAMIC_TOOL_STRICT","toolName":"Bash","input":{"command":"sudo dnf install -y postgresql-server postgresql postgresql-contrib 2>&1 | tail -15","timeout":600000},"userMessage":"Run command"}]}],"version":1},"role":"user","id":"7hWFi7ThqcsmVqGLesYG0i3Bx2c5PrNJ","attachments":[],"parentId":"nEmKvPQBEAlOII5pcZOpDWSlbwvQSCie","type":"message","authorId":"JZHFEuaJPfriOD7osU1PxL17","createdAt":"$D2026-07-27T03:25:39.726Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785122740062,"finishedAt":1785122740062,"lastPartSentAt":1785122740062,"id":"zJdwyWc7zz3CEj1Y","type":"task-start-v1","parts":[{"type":"launch-tasks"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122740062,"finishedAt":1785122756295,"lastPartSentAt":1785122756149,"taskNameActive":"Running command","taskNameComplete":"Ran command","toolCallId":"tool_ME0zZdCBRbLvefIQ","agentTurnId":"turn_TK4harVx2VUFoNE3","filePath":null,"id":"oARpm0ZrQl5SAKsu","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"sudo dnf install -y postgresql-server postgresql postgresql-contrib 2>&1 | tail -15","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"P4Ngr4XtZKQcrPgG"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Amazon Linux 2023 repository 120 MB/s | 65 MB 00:00 \nAmazon Linux 2023 SPAL repository 36 MB/s | 10 MB 00:00 \nLast metadata expiration check: 0:00:01 ago on Mon Jul 27 03:25:53 2026.\nNo match for argument: postgresql-server\nNo match for argument: postgresql\nNo match for argument: postgresql-contrib\nError: Unable to find a match: postgresql-server postgresql postgresql-contrib\n"},"id":"bs4BRHjAgwInCuyU"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122759542,"finishedAt":1785122759755,"lastPartSentAt":1785122759755,"taskNameActive":null,"id":"6e1Yl6GGrCLOpyQq","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to check how Amazon Linux 2023 packages PostgreSQL differently since the naming convention appears to use version numbers in the package names."}]}}],["p",{},["text",{},"Amazon Linux 2023 uses versioned package names. Let me find the right ones."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122761244,"finishedAt":1785122778335,"lastPartSentAt":1785122778187,"taskNameActive":"Searching postgres packages","taskNameComplete":"Searched postgres packages","toolCallId":"toolu_01EEXLcTDY6DcU81LvukQa8b","agentTurnId":"turn_TK4harVx2VUFoNE3","filePath":null,"id":"3tBam1s5t0uM0CVP","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"dnf search postgresql 2>/dev/null | grep -iE \"^postgresql[0-9]*(-server|-contrib)?\\.\" | head -20; echo \"=== available versions ===\"; dnf list available 2>/dev/null | grep -oE \"^postgresql[0-9]+-server[^ ]*\" | sort -u | head","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"oglMMQxqupEMBy5g"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"postgresql15.x86_64 : PostgreSQL client programs\npostgresql15-contrib.x86_64 : Extension modules distributed with PostgreSQL\npostgresql15-server.x86_64 : The programs needed to create and run a PostgreSQL server\npostgresql16.x86_64 : PostgreSQL clien"},"id":"dpJQYksyBMLXixv5"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"t programs\npostgresql16-contrib.x86_64 : Extension modules distributed with PostgreSQL\npostgresql16-server.x86_64 : The p\n\n...\n\n4\npostgresql17-server-devel.x86_64\npostgresql17-server.x86_64\npostgresql18-server-devel.x86_64\npostgresql18-server.x86_64\n"},"id":"GxGcoTef766OxKrd"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122781785,"finishedAt":1785122781954,"lastPartSentAt":1785122781954,"taskNameActive":null,"id":"TAJJ3FBbl978PwDg","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'll start by installing PostgreSQL 16, then consider whether to run the Python dependencies in parallel or sequentially."}]}}],["p",{},["text",{},"PostgreSQL 16 is a good production match. Installing it and the Python dependencies in parallel."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122784051,"finishedAt":1785122788064,"lastPartSentAt":1785122787934,"taskNameActive":"Installing PostgreSQL 16","taskNameComplete":"Installed PostgreSQL 16","toolCallId":"toolu_01WtFvJf84ieLi58x4w8k9Nv","agentTurnId":"turn_17ZKZmCxxjtKgYSH","filePath":null,"id":"WrQbjhcRXYmkOPDm","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"sudo dnf install -y postgresql16-server postgresql16 postgresql16-contrib 2>&1 | tail -8 && echo \"=== verify ===\" && ls /usr/bin/initdb /usr/bin/pg_ctl /usr/bin/psql 2>&1 && /usr/bin/postgres --version","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"7HsJcYQ1Yea1p9Tf"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" postgresql16-contrib-16.12-1.amzn2023.0.1.x86_64 \n postgresql16-private-libs-16.12-1.amzn2023.0.1.x86_64 \n postgresql16-server-16.12-1.amzn2023.0.1.x86_64 \n s\n\n...\n\n52.23-11.amzn2023.x86_64 \n uuid-1.6.2-50.amzn2023.0.2.x86_64 \n\nComplete!\n=== verify ===\n/usr/bin/initdb\n/usr/bin/pg_ctl\n/usr/bin/psql\npostgres (PostgreSQL) 16.12\n"},"id":"QRnsOFqKekT9Jbt9"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122784867,"finishedAt":1785122785530,"lastPartSentAt":1785122785503,"taskNameActive":"Reading requirements files","taskNameComplete":"Read requirements files","toolCallId":"toolu_01Kte31i1v8EMoVZBreHMXjK","agentTurnId":"turn_17ZKZmCxxjtKgYSH","filePath":null,"id":"ywksaUYl0NxZRMNa","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-requirements-task-x20-f.txt"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122792271,"finishedAt":1785122792962,"lastPartSentAt":1785122792962,"taskNameActive":null,"id":"D1zPP5hVvjy86VBv","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"Postgres 16 is set up, so I need to initialize the database cluster as a non-root user with a data directory in /tmp. At the same time, I'll install the Python dependencies using uv with the dependency groups from the pyproject.toml file."}]}}],["p",{},["text",{},"PostgreSQL 16.12 installed. Now I'll initialize the database cluster and install Python dependencies in parallel."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122796147,"finishedAt":1785122799057,"lastPartSentAt":1785122799030,"taskNameActive":"Initializing database cluster","taskNameComplete":"Initialized database cluster","toolCallId":"toolu_01GgCLTQKd99DZWVicC1uaXt","agentTurnId":"turn_6p5lry2W0XDk3u3j","filePath":null,"error":{"type":"HANDLED_EXECUTION_ERROR","message":"Command blocked by permissions","code":"AGENT_GUIDANCE"},"id":"5EKHvWUv2gOLQtfP","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"set -e\nexport PGDATA=/tmp/pgdata\nexport PGPORT=5432\nwhoami\nrm -rf \"$PGDATA\"; mkdir -p \"$PGDATA\"\n/usr/bin/initdb -D \"$PGDATA\" -U postgres --auth-local=trust --auth-host=trust -E UTF8 2>&1 | tail -6\n/usr/bin/pg_ctl -D \"$PGDATA\" -l /tmp/pg.log -o \"-p $PGPORT -k /tmp -c listen_addresses=127.0.0.1\" start\nsleep 3\n/usr/bin/psql -h 127.0.0.1 -p $PGPORT -U postgres -c \"select version();\" 2>&1 | head -4","timeout":300000}}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122798794,"finishedAt":1785122801745,"lastPartSentAt":1785122801602,"taskNameActive":"Installing Python deps","taskNameComplete":"Installed Python deps","toolCallId":"toolu_01VRSVrDwp7cM7iSCLbqJpdP","agentTurnId":"turn_6p5lry2W0XDk3u3j","filePath":null,"id":"G2QIxOf8vOHOORNk","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && uv venv .venv 2>&1 | tail -3 && uv pip install --python .venv/bin/python -r requirements/dev.txt 2>&1 | tail -12 && echo \"=== versions ===\" && .venv/bin/python -c \"import django,rest_framework,psycopg,stripe,environ;print('django',django.get_version());print('drf',rest_framework.VERSION);print('psycopg',psycopg.__version__);print('stripe',stripe.VERSION)\"","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"hjSSskTCUdnsXR09"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Using CPython 3.13.11\nCreating virtual environment at: .venv\nActivate with: source .venv/bin/activate\n"},"id":"Bv7Bj3ATtmzjTAu2"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" + packaging==26.2\n + pluggy==1.6.0\n + psycopg==3.2.3\n + psycopg-binary==3.2.3\n + pytest==8.3.4\n + pytest-django==4.9.0\n + requests==2.34.2\n + ruff="},"id":"JM5GxGhLg5neM24Z"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=0.8.4\n + sqlparse==0.5.5\n + stripe==15.3.1\n + typing-extensions==4.16.0\n + urllib3==2.7.0\n=== versions ===\ndjango 5.1.15\ndrf 3.15.2\npsycopg 3.2.3\nstripe 15.3.1\n"},"id":"kCbANxRYY9Toaae9"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122804711,"finishedAt":1785122804964,"lastPartSentAt":1785122804964,"taskNameActive":null,"id":"SuGw82Wx8k4i8iDF","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I've got the dependencies set up with Django 5.1.15 and Python 3.13, now I'm initializing the database without clearing the existing data."}]}}],["p",{},["text",{},"Dependencies installed. Retrying cluster init without the blocked delete."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122807785,"finishedAt":1785122812619,"lastPartSentAt":1785122812460,"taskNameActive":"Initializing database cluster","taskNameComplete":"Initialized database cluster","toolCallId":"toolu_01VZ2bLpkA9jxUtQRTCJgjCe","agentTurnId":"turn_X41NXqP8eWuXe2hk","filePath":null,"id":"OEigHRLrdwxuuFqp","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"set -e\nexport PGDATA=/tmp/pgdata PGPORT=5432\nmkdir -p \"$PGDATA\"\n/usr/bin/initdb -D \"$PGDATA\" -U postgres --auth-local=trust --auth-host=trust -E UTF8 2>&1 | tail -5\n/usr/bin/pg_ctl -D \"$PGDATA\" -l /tmp/pg.log -o \"-p $PGPORT -k /tmp -c listen_addresses=127.0.0.1\" start\nsleep 3\n/usr/bin/psql -h 127.0.0.1 -p $PGPORT -U postgres -tc \"select version();\"\n/usr/bin/psql -h 127.0.0.1 -p $PGPORT -U postgres -c \"CREATE DATABASE ecommerce;\" 2>&1\necho \"CLUSTER READY\"","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"HFJ3BEI1nSqdsCBY"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\nSuccess. You can now start the database server using:\n\n /usr/bin/pg_ctl -D /tmp/pgdata -l logfile start\n\nwaiting for server to start.... done\nserver started\n"},"id":"t6KNcqc9DGsCFpq4"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" PostgreSQL 16.12 on x86_64-amazon-linux-gnu, compiled by gcc (GCC) 11.5.0 20240719 (Red "},"id":"OlWKZj4XeRxqJWnI"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Hat 11.5.0-5), 64-bit\n\nCREATE DATABASE\nCLUSTER READY\n"},"id":"2ZxNhN7lKkHFR1H4"}]}}],["p",{},["text",{},"Postgres 16.12 is running with an "],["code",{},"ecommerce"],["text",{}," database. Now let me check what env vars Django expects before running migrations."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"6RcROlBIOBzAtdgJ-4jDBu9bQmN48eN9r","parts":[{"createdAt":1785122816414,"finishedAt":1785122819961,"lastPartSentAt":1785122819875,"taskNameActive":"Reading base settings","taskNameComplete":"Read base settings","toolCallId":"toolu_01YXPnXtXKbtEW2Krosc6YAY","agentTurnId":"turn_apQUUBYXVkEFhniC","filePath":null,"id":"6RcROlBIOBzAtdgJ","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/config/settings/base.py"}]},{"createdAt":1785122817355,"finishedAt":1785122820180,"lastPartSentAt":1785122820133,"taskNameActive":"Reading dev settings","taskNameComplete":"Read dev settings","toolCallId":"toolu_01FbkcGW6nK2fYdcTHSfGKEJ","agentTurnId":"turn_apQUUBYXVkEFhniC","filePath":null,"id":"4jDBu9bQmN48eN9r","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/config/settings/dev.py"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"6RcROlBIOBzAtdgJ-4jDBu9bQmN48eN9r"}],["AssistantMessageContentPart",{"part":{"createdAt":1785122818938,"finishedAt":1785122821717,"lastPartSentAt":1785122821524,"taskNameActive":"Listing backend env files","taskNameComplete":"Listed backend env files","toolCallId":"toolu_01HSr3JFCmVcUF5rn7d5hfu6","agentTurnId":"turn_apQUUBYXVkEFhniC","filePath":null,"id":"TKrZ0fPjl8TozaB6","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && ls -la && echo \"=== .env.example ===\" && cat .env.example 2>/dev/null && echo \"=== settings dir ===\" && ls config/settings/ && echo \"=== test settings ===\" && cat config/settings/test.py 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"ehc6tqXkbd6oCaez"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 140\ndrwxr-xr-x 7 vercel-sandbox vercel-sandbox 154 Jul 27 03:26 .\ndrwxr-xr-x 11 vercel-sandbox vercel-sandbox 4096 Jul 27 03:22 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 1512 Jul 27 03:22 .env.example\ndrwxr-xr-x 4 vercel-sandbox v"},"id":"q9xhojPqMQjgq3q7"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ercel-sandbox 110 Jul 27 03:26 .venv\ndrwxr-xr-x 20 vercel-sandbox vercel-sandbox 312 Jul 27 03:22 apps\ndrwxr-xr-x \n\n...\n\n_FRAMEWORK[\"DEFAULT_THROTTLE_RATES\"], # type: ignore[dict-item] # noqa: F405\n \"auth_login\": \"3/minute\",\n },\n}\n"},"id":"MXYkwL0VJ8p7BhXu"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122827094,"finishedAt":1785122827844,"lastPartSentAt":1785122827844,"taskNameActive":null,"id":"VXDvZpfzjUaMw47y","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The DATABASE_URL configuration looks correct with the trust authentication I set up, and localhost should resolve properly to the local address. Now I need to create the backend/.env file with the necessary environment variables like the secret key, then check for any seed scripts and run the migrations."}]}}],["p",{},["text",{},"Settings look coherent. Let me create the backend "],["code",{},".env"],["text",{}," and check the seed scripts."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_5hMl9DmecPO","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/.env","baseName":".env","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]env:file=\"/backend/.env\" \nGENERATING","latestDeploymentInfo":"$10f:0:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_s9691_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_5hMl9DmecPO","meta":{"taskNameActive":"Creating backend env","taskNameComplete":"Created backend env","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Creating backend env","taskNameComplete":"Created backend env"},"id":"block-b_5hMl9DmecPO"}],["AssistantMessageContentPart",{"part":{"createdAt":1785122839786,"finishedAt":1785122840307,"lastPartSentAt":1785122840307,"taskNameActive":null,"id":"6E8IYn8UFshH2tme","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I've raised the throttle rates to help with end-to-end testing, but I need to be careful not to mask the actual throttling behavior—I'll run a separate dedicated test to verify it's working correctly. Now I'm going to run the migrations and check the scripts."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122840558,"finishedAt":1785122843743,"lastPartSentAt":1785122843525,"taskNameActive":"Checking seed scripts","taskNameComplete":"Checked seed scripts","toolCallId":"toolu_01FctRW72EXP6nZ6WySuzkDU","agentTurnId":"turn_CpYEZvkSlztnl1Ym","filePath":null,"id":"PGMPE1C6gxcT5vZs","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && ls -la scripts && head -40 scripts/* 2>/dev/null | head -60"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"GkGNatDaiek5f1tc"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 24\ndrwxr-xr-x 2 vercel-sandbox vercel-sandbox 62 Jul 27 03:22 .\ndrwxr-xr-x 7 vercel-sandbox vercel-sandbox 166 Jul 27 03:27 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 3675 Jul 27 03:22 seed_coupon_review.py\n-rw-r--r-- 1 vercel-sand\n\n...\n\ne app enforces at\nruntime (return windows, review eligibility, publish preconditions, and so on).\n\nUsage:\n python scripts/seed_review_data.py\n\"\"\"\n\nfrom __future__ import annotations\n\nimport os\nimport sys\nimport uuid\nfrom decimal import Decimal\n"},"id":"L6v0y78HTmg0mmLY"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122841879,"finishedAt":1785122846547,"lastPartSentAt":1785122846410,"taskNameActive":"Running Django checks","taskNameComplete":"Ran Django checks","toolCallId":"toolu_01Egny5d5hedcp3cioEhP9Fy","agentTurnId":"turn_CpYEZvkSlztnl1Ym","filePath":null,"id":"QjbfcuMk4720hIPp","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && .venv/bin/python manage.py check 2>&1 | tail -20 && echo \"=== showmigrations summary ===\" && .venv/bin/python manage.py showmigrations 2>&1 | head -30","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"BgoH7pV3qXNsD9Fm"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"System check identified no issues (0 silenced).\n"},"id":"isFgABt6zRRwZU9E"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== showmigrations summary ===\nadmin\n [ ] 0001_initial\n [ ] 0002_logentry_remove_auto_add\n [ ] 0003_logentry_add_action_flag_choices\nauth\n [ ] 0001_initial\n [ ] 0002_alter_permission_name_max_length\n [ ] 0003_alter_user_em\n\n...\n\nand_more\ncatalog\n [ ] 0001_initial\n [ ] 0002_product_search_projections\n [ ] 0003_product_average_rating_product_review_count_and_more\n [ ] 0004_productcategory\ncms\n [ ] 0001_initial\n [ ] 0002_governed_content\ncontenttypes\n"},"id":"xGSgqc5jvKToFWkS"}]}}],["p",{},["code",{},"manage.py check"],["text",{}," passes cleanly. Now let me migrate and seed."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122851403,"finishedAt":1785122857724,"lastPartSentAt":1785122857562,"taskNameActive":"Running migrations","taskNameComplete":"Ran migrations","toolCallId":"toolu_01ShSJ9MAwaTJLakaGE75N6R","agentTurnId":"turn_JwZWnA0hVmD8zJ16","filePath":null,"id":"xUk4j86H94TrYr4K","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && .venv/bin/python manage.py migrate 2>&1 | tail -15 && echo \"=== table count ===\" && /usr/bin/psql -h 127.0.0.1 -U postgres -d ecommerce -tc \"select count(*) from information_schema.tables where table_schema='public';\"","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"u7xMyHOeyOrxbtSU"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" Applying identity.0004_customer_profile... OK\n Applying identity.0005_adminworkspacesettings... OK\n Applying inventory.0001_initial... OK\n Applying notifications.0001_initial... OK\n Applying payments.0001_initial... OK\n Applying payments.0\n\n...\n\nial... OK\n Applying reviews.0001_initial... OK\n Applying reviews.0002_alter_reviewevent_review... OK\n Applying sessions.0001_initial... OK\n Applying shipping.0001_initial... OK\n Applying support.0001_initial... OK\n=== table count ===\n 70\n\n"},"id":"0E8uzJJVV74dM5U8"}]}}],["p",{},["text",{},"All migrations applied — 70 tables created. Now let me seed data and start the Django server."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122861968,"finishedAt":1785122864306,"lastPartSentAt":1785122864144,"taskNameActive":"Seeding review data","taskNameComplete":"Seeded review data","toolCallId":"toolu_017AVF19KLifSk8EUqC4x6oo","agentTurnId":"turn_GJTkeBeCIGrOYDiY","filePath":null,"id":"oMIKr9GkUiDGn9LN","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && .venv/bin/python scripts/seed_review_data.py 2>&1 | tail -30 && echo \"=== coupon seed ===\" && .venv/bin/python scripts/seed_coupon_review.py 2>&1 | tail -15","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"VrWEnC3qFq1AZET2"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Run `manage.py provision_admin` before seeding.\n=== coupon seed ===\n"},"id":"rjw1ZjjbX8xzWMD8"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"{\"timestamp\": \"2026-07-27T03:27:43.879846+00:00\", \"level\": \"INFO\", \"logger\": \"apps.promotions.services\", \"module\": \"services\", \"correlation_id\": \"-\", \"message\": \"coupon_lifecycle_changed\"}\n{\"timestamp\": \"2026-07-\n\n...\n\n active active=True\n APPROVED20 approved active=False\n PENDING15 pending_approval active=False\n DRAFT10 draft active=False\n\nSign in as ops.one@northstar.test / ReviewPass!2345\n"},"id":"Gt2KEoNNqIx3F5RR"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122867544,"finishedAt":1785122867690,"lastPartSentAt":1785122867690,"taskNameActive":null,"id":"faOwmZuAl2ifBqsW","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to check what the `manage.py provision_admin` command does to understand the main seed requirements."}]}}],["p",{},["text",{},"The main seed needs "],["code",{},"provision_admin"],["text",{}," first. Let me check that command's interface."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122868844,"finishedAt":1785122872700,"lastPartSentAt":1785122872587,"taskNameActive":"Inspecting provision_admin","taskNameComplete":"Inspected provision_admin","toolCallId":"toolu_01VEVn5g8HqfKpCC6NChxr2Q","agentTurnId":"turn_20QyLZen4K9KZ8nJ","filePath":null,"id":"5zCvb8vF5v72Ss0s","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && find apps -path \"*management/commands*\" -name \"*.py\" | sort && echo \"=== help ===\" && .venv/bin/python manage.py provision_admin --help 2>&1 | tail -25"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"OW0j6a8pFSnQzF9R"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"apps/identity/management/commands/__init__.py\napps/identity/management/commands/provision_admin.py\napps/notifications/management/commands/__init__.py\napps/notifications/management/commands/process_notifications.py\n=== help ===\n\nProvision the initial "},"id":"m4hBK2fDPTBJsZLT"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"administrator without storing credentials in source\ncontrol.\n\noptions:\n -h, --help show this help message and\n\n...\n\nand output.\n --force-color Force colorization of the command output.\n --skip-checks Skip system checks.\n"},"id":"yOJ2LRbbLXWNTOhY"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122870809,"finishedAt":1785122871550,"lastPartSentAt":1785122871496,"taskNameActive":"Finding seed precondition","taskNameComplete":"Found seed precondition","toolCallId":"toolu_01JPpzzPTjgW8ZfUCQg1sLPP","agentTurnId":"turn_20QyLZen4K9KZ8nJ","filePath":null,"id":"luo5kUFZsnItgsoc","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"provision_admin|ADMIN_EMAIL|SEED_|def main|Run `manage","path":"/vercel/share/v0-project/backend/scripts/seed_review_data.py"},{"type":"grep-file-results","numFileMatches":1}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122877875,"finishedAt":1785122878519,"lastPartSentAt":1785122878519,"taskNameActive":null,"id":"DNTS3uti1r6pHEXP","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The coupon seed already created admin users, so I can rerun seed_review_data now that admins exist. But I should provision a canonical admin with known credentials first using provision_admin, then run the seed again."}]}}],["p",{},["text",{},"Admins now exist from the coupon seed. Let me provision a canonical admin and rerun the main seed."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122879656,"finishedAt":1785122883212,"lastPartSentAt":1785122882829,"taskNameActive":"Provisioning admin and seeding","taskNameComplete":"Provisioned admin and seeded","toolCallId":"toolu_015MgQ3xpUfnSeDEzFcGCXvv","agentTurnId":"turn_1XJpTedCZvYZef7l","filePath":null,"id":"O6D0J4Wbg3zjWaII","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && ADMIN_EMAIL=admin@northstar.test ADMIN_PASSWORD='AdminPass!2345' .venv/bin/python manage.py provision_admin 2>&1 | tail -6 && echo \"=== SEED ===\" && .venv/bin/python scripts/seed_review_data.py 2>&1 | grep -viE '\"level\"|correlation_id' | tail -40","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"r9zSVbr0eYOcyZ9a"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"Created administrator admin@northstar.test.\n"},"id":"PplBYkuXsr15uTy1"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== SEED ===\n"},"id":"vj2QxNy0AyOja4il"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"[seed] users: 8\n[seed] products: 6\n[seed] orders: 8\n[seed] returns: 2\n[seed] coupons: 12\n[seed] content items: 4\n"},"id":"P0ajSX3oUE8Xb9Nv"}]}}],["p",{},["text",{},"Database seeded with realistic business state. Now let me start Django and confirm the proxy works."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122887165,"finishedAt":1785122888423,"lastPartSentAt":1785122888402,"taskNameActive":"Starting Django server","taskNameComplete":"Started Django server","toolCallId":"toolu_011YiJG6zcCkpRRD9b6pJVzu","agentTurnId":"turn_uAvjnm65rwVztBQ5","filePath":null,"id":"NGo8u5sAP7zRpOq8","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && exec .venv/bin/python manage.py runserver 0.0.0.0:8000 --noreload"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"4zNxyH82skgCBZCI"},{"type":"subtask-running-in-background"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122893933,"finishedAt":1785122901424,"lastPartSentAt":1785122901266,"taskNameActive":"Verifying API up","taskNameComplete":"Verified API up","toolCallId":"toolu_013TXo9PAhVNtqFyaT4QF19N","agentTurnId":"turn_yTMJjHPOs2sFR8VT","filePath":null,"id":"nIvMiOX4NcTEDEE8","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"sleep 6; echo \"=== direct django health ===\" && curl -s -m 15 -w \"\\nstatus=%{http_code}\\n\" http://127.0.0.1:8000/api/v1/health/ 2>&1 | tail -4\necho \"=== direct catalog ===\" && curl -s -m 20 -w \"\\nstatus=%{http_code}\\n\" \"http://127.0.0.1:8000/api/v1/catalog/products?page_size=2\" | head -c 700\necho; echo \"=== via next proxy ===\" && curl -s -m 25 -w \"\\nstatus=%{http_code}\\n\" \"http://127.0.0.1:3000/api/v1/catalog/products?page_size=2\" | head -c 700","timeout":120000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"QWdeU2931JlG23Hd"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== direct django health ===\n"},"id":"Qg05Rb4A4vMpdim2"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\n\n\nstatus=404\n=== direct catalog ===\n{\"data\":[{\"id\":\"a40e8ecb-e1d1-4c8e-bf58-e43e120eea19\",\"name\":\"Ribbed Crew Socks\",\"slug\":\"sock-crw\",\"brand\":{\"id\":\"7d8b4c7b-6f32-4e0a-b43e-34c868d71700\",\"name\":\"Northline\",\"slug\":\"no\n\n...\n\n8970-47db-99ba-b6feb5894673\",\"name\":\"Everyday Water Bottle\",\"slug\":\"btl-750\",\"brand\":{\"id\":\"7d8b4c7b-6f32-4e0a-b43e-34c868d71700\",\"name\":\"Northline\",\"slug\":\"northline\"},\"price_amount\":\"890.00\",\"availability\":\"out_of_stock\",\"primary_"},"id":"rBHlfug8vmBVeri6"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122905516,"finishedAt":1785122905941,"lastPartSentAt":1785122905941,"taskNameActive":null,"id":"sty9apRQOufVbPyj","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"The backend is running and the proxy is routing traffic correctly, though I'll need to track down the health endpoint location later. Next I should update the todo list and run the test suite."}]}}],["p",{},["text",{},"The full stack is now connected — the Next proxy is returning real Django data. Let me run the backend test suite."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122906483,"finishedAt":1785122907102,"lastPartSentAt":1785122906979,"taskNameActive":"Advancing to test suite","taskNameComplete":"Advanced to test suite","toolCallId":"toolu_013a6WRzfb6y5LkpumYDAcBB","agentTurnId":"turn_ceVhiv63cF4ghN4a","filePath":null,"id":"3LcL1mNf6hoBSb80","type":"task-manage-todos-v1","parts":[{"type":"starting-todo-manager"},{"type":"updated-todo-list","updatedList":[{"status":"done","task":"Provision PostgreSQL and install backend dependencies"},{"status":"done","task":"Run migrations and seed data, get Django serving on :8000"},{"status":"in-progress","task":"Run backend pytest suite and fix failures"},{"status":"todo","task":"Audit frontend API clients against Django contracts"},{"status":"todo","task":"Verify storefront, cart, and checkout flows in browser"},{"status":"todo","task":"Verify auth, account, and admin flows in browser"},{"status":"todo","task":"Summarize findings and fixes"}]}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122912709,"finishedAt":1785122926659,"lastPartSentAt":1785122926450,"taskNameActive":"Running backend test suite","taskNameComplete":"Ran backend test suite","toolCallId":"toolu_013ybG9Ymzn3ujxYtmrKCaAk","agentTurnId":"turn_0JxKeGTnDQZwb5r4","filePath":null,"id":"VU6O0p2rAVChJHBQ","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && .venv/bin/python -m pytest -q 2>&1 | tail -35","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"Ktm3epGngJn0mtrr"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"........................................................................ [ 19%]\n........................................................................ [ 39%]\n........................................................................ [ 59%]\n......\n\n...\n\n======================= short test summary info ============================\nSKIPPED [1] apps/inventory/tests/test_services.py:140: SQLite does not provide SELECT FOR UPDATE row-level locking semantics.\n361 passed, 1 skipped, 2 warnings in 11.09s\n"},"id":"ECNq8sMURalg81qM"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122931152,"finishedAt":1785122934512,"lastPartSentAt":1785122934512,"taskNameActive":null,"id":"yKtUQ93VAgJEQxAw","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":3,"thought":"Most of the tests passed, with just one skipped—the inventory row-locking test that requires Postgres since the test suite normally runs on SQLite. Now that I have a real Postgres instance available, I can run that test to verify the concurrency logic works correctly. I'll set up a test configuration that overrides the database settings to use Postgres instead."}]}}],["p",{},["text",{},"Excellent: "],["strong",{},["text",{},"361 passed, 1 skipped"]],["text",{},". The single skip is the inventory "],["code",{},"SELECT FOR UPDATE"],["text",{}," concurrency test — skipped because the suite runs on SQLite. That test guards against overselling, so now that real Postgres exists I want to actually run it."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122936172,"finishedAt":1785122936884,"lastPartSentAt":1785122936814,"taskNameActive":"Reading skipped lock test","taskNameComplete":"Read skipped lock test","toolCallId":"toolu_018SauCfyogmoUR82cV3Vcxm","agentTurnId":"turn_Ye5FA27qEbEnxNzJ","filePath":null,"id":"hDkx404Tc1mZbmn7","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/inventory/tests/test_services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/inventory/tests/test_services.py","offset":109,"limit":69}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122941903,"finishedAt":1785122942530,"lastPartSentAt":1785122942530,"taskNameActive":null,"id":"z7QsRSk5jX9SLvTb","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'll create a temporary settings module in /tmp to configure Django to use Postgres, then run pytest with the `--ds` flag pointing to it and add /tmp to PYTHONPATH so it can be imported. This keeps the repo clean while letting the test self-skip based on the vendor configuration."}]}}],["p",{},["text",{},"The test self-skips on vendor, so I only need to point it at Postgres. I'll use a throwaway settings module in "],["code",{},"/tmp"],["text",{}," to avoid polluting the repo."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122945854,"finishedAt":1785122954104,"lastPartSentAt":1785122953892,"taskNameActive":"Running lock test on Postgres","taskNameComplete":"Ran lock test on Postgres","toolCallId":"toolu_01RG3jLnwwQRishrxU1LnrwH","agentTurnId":"turn_hFcuxqAQJBY1nlSk","filePath":null,"id":"474snkXCWWsPGa0y","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cat > /tmp/pgtest_settings.py <<'EOF'\nfrom config.settings.test import * # noqa\nDATABASES = {\n \"default\": {\n \"ENGINE\": \"django.db.backends.postgresql\",\n \"NAME\": \"test_ecommerce_locks\",\n \"USER\": \"postgres\",\n \"PASSWORD\": \"postgres\",\n \"HOST\": \"127.0.0.1\",\n \"PORT\": \"5432\",\n \"ATOMIC_REQUESTS\": False,\n \"CONN_MAX_AGE\": 0,\n \"OPTIONS\": {},\n \"TIME_ZONE\": None,\n \"AUTOCOMMIT\": True,\n }\n}\nEOF\ncd /vercel/share/v0-project/backend && PYTHONPATH=/tmp .venv/bin/python -m pytest apps/inventory/tests/test_services.py -q --ds=pgtest_settings -p no:randomly 2>&1 | tail -20","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"eX1CK8SMuoIXoE8O"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" ) -> Self:\n \"\"\"\n Execute a query or command to the database.\n \"\"\"\n try:\n with self._conn.lock:\n self._conn.wait(\n self._execute_gen(query, params, prepare=prepare, binar\n\n...\n\ne_audit_snapshot\nFAILED apps/inventory/tests/test_services.py::test_adjust_stock_rejects_negative_and_over_reserved\nFAILED apps/inventory/tests/test_services.py::test_competing_adjustments_serialize_without_overselling\n4 failed, 3 passed in 4.86s\n"},"id":"jyn0xtTvohQa5dBR"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122959354,"finishedAt":1785122959981,"lastPartSentAt":1785122959981,"taskNameActive":null,"id":"WUMKTuA9MnTrqlGP","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I found a critical production bug: `adjust_stock` is using `select_for_update` with `select_related` on a nullable foreign key to variant, which Postgres rejects with an outer join error. The test suite passes on SQLite because it ignores `FOR UPDATE`, completely masking a bug that would break all stock adjustments in production. Let me look at the service code to understand the issue better."}]}}],["p",{},["strong",{},["text",{},"This is a real production bug."]],["text",{}," Every "],["code",{},"adjust_stock"],["text",{}," call fails on PostgreSQL — the actual production database — while passing on SQLite, which silently ignores "],["code",{},"FOR UPDATE"],["text",{},". Let me look at the service."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122962584,"finishedAt":1785122963344,"lastPartSentAt":1785122963270,"taskNameActive":"Finding select_for_update usage","taskNameComplete":"Found select_for_update usage","toolCallId":"toolu_01BmYncAZmpT1uHx9vw7iuT4","agentTurnId":"turn_5AiuqX12PoBpAz27","filePath":null,"id":"eMY6bcO7XCUzrvO8","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"select_for_update","path":"/vercel/share/v0-project/backend","globPattern":"*.py"},{"type":"grep-file-results","numFileMatches":18}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122967430,"finishedAt":1785122967970,"lastPartSentAt":1785122967970,"taskNameActive":null,"id":"4kV83SYxN1OvYpB9","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm noticing a problematic pattern where select_for_update is combined with select_related on nullable foreign keys, which creates LEFT OUTER JOINs that can cause issues. Let me look at the adjust_stock method in inventory/services.py to see how this manifests there."}]}}],["p",{},["text",{},"Let me find the exact pattern — "],["code",{},"select_for_update()"],["text",{}," combined with "],["code",{},"select_related()"],["text",{}," on nullable FKs."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"XcWiUnw8GqXsYfdZ-fJeNFMCXeENEmzlZ","parts":[{"createdAt":1785122970609,"finishedAt":1785122971869,"lastPartSentAt":1785122971848,"taskNameActive":"Finding lock plus join","taskNameComplete":"Found lock plus join","toolCallId":"toolu_01EQPBBbZ2bWusLqMjW6tp3p","agentTurnId":"turn_9FTOFZ6tfB6eGXbV","filePath":null,"id":"XcWiUnw8GqXsYfdZ","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"select_for_update\$\$\\.select_related|select_related\$[^)]*\$\\.select_for_update","path":"/vercel/share/v0-project/backend","globPattern":"*.py"},{"type":"grep-file-results","numFileMatches":1}]},{"createdAt":1785122971185,"finishedAt":1785122971716,"lastPartSentAt":1785122971696,"taskNameActive":"Reading inventory services","taskNameComplete":"Read inventory services","toolCallId":"toolu_01FQbb4Bv6AinXvsxAUVz5LV","agentTurnId":"turn_9FTOFZ6tfB6eGXbV","filePath":null,"id":"fJeNFMCXeENEmzlZ","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/inventory/services.py"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 1 File • 1 Search","taskNameComplete":"Explore • 1 File • 1 Search"},"id":"XcWiUnw8GqXsYfdZ-fJeNFMCXeENEmzlZ"}],["AssistantMessageContentPart",{"part":{"createdAt":1785122974909,"finishedAt":1785122975194,"lastPartSentAt":1785122975194,"taskNameActive":null,"id":"ah60CBWWZ8nmZjgi","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I think I've found the issue—it's the `stock_queryset(for_update=True)` call. Let me look at the selectors to understand what's happening."}]}}],["p",{},["text",{},"The culprit is "],["code",{},"stock_queryset(for_update=True)"],["text",{},". Let me read the selector."]],["AssistantMessageContentPart",{"part":{"createdAt":1785122976121,"finishedAt":1785122976841,"lastPartSentAt":1785122976820,"taskNameActive":"Reading inventory selectors","taskNameComplete":"Read inventory selectors","toolCallId":"toolu_01HmBbszvG9YJYssv4Gbfd7W","agentTurnId":"turn_tm46XLTeWbqi63Lk","filePath":null,"id":"b1MPdq0BSSWD2coz","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/inventory/selectors.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785122981626,"finishedAt":1785122984205,"lastPartSentAt":1785122984205,"taskNameActive":null,"id":"uCK1V5JaDFNRmcdY","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":3,"thought":"The issue is that `variant` being a nullable foreign key triggers a LEFT OUTER JOIN, which causes Postgres to reject the FOR UPDATE lock. I need to restrict the lock to just the StockItem table using `of=(\"self\",)` in the queryset — that way Django only locks the stockitem row and Postgres won't complain about the outer join.\n\nNow I should verify the models to check if variant is actually nullable and whether the order FK on Shipment has the same issue."}]}}],["p",{},["code",{},"variant"],["text",{}," is a nullable FK, so "],["code",{},"select_related"],["text",{}," emits a LEFT OUTER JOIN that PostgreSQL refuses to lock. Let me confirm nullability and check the shipping case too."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"pQxRZo23mzk01Gd7-ufAop9l1wIIASncX","parts":[{"createdAt":1785122987262,"finishedAt":1785122990220,"lastPartSentAt":1785122990136,"taskNameActive":"Checking FK nullability","taskNameComplete":"Checked FK nullability","toolCallId":"toolu_01JmQajNe8tBurkePHwP3X5c","agentTurnId":"turn_wFDXyiXxaYDUwJrt","filePath":null,"id":"pQxRZo23mzk01Gd7","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"variant\\s*=\\s*models\\.ForeignKey|warehouse\\s*=\\s*models\\.ForeignKey|product\\s*=\\s*models\\.ForeignKey","path":"/vercel/share/v0-project/backend/apps/inventory/models.py"},{"type":"grep-file-results","numFileMatches":1}]},{"createdAt":1785122989267,"finishedAt":1785122990246,"lastPartSentAt":1785122990142,"taskNameActive":"Checking shipment order FK","taskNameComplete":"Checked shipment order FK","toolCallId":"toolu_015f3SZ3pdrT3fDN6cqk9hvH","agentTurnId":"turn_wFDXyiXxaYDUwJrt","filePath":null,"id":"ufAop9l1wIIASncX","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"class Shipment|order\\s*=\\s*models\\.(ForeignKey|OneToOneField)","path":"/vercel/share/v0-project/backend/apps/shipping/models.py"},{"type":"grep-file-results","numFileMatches":1}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Searches","taskNameComplete":"Explore • 2 Searches"},"id":"pQxRZo23mzk01Gd7-ufAop9l1wIIASncX"}],["AssistantMessageContentPart",{"part":{"createdAt":1785122996620,"finishedAt":1785122997117,"lastPartSentAt":1785122997117,"taskNameActive":null,"id":"TiqQeQXbcskhz6RL","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"So the issue is that `variant` allows null values, which triggers a LEFT OUTER JOIN, but Shipping's `order` field is required, making it an INNER JOIN—that's safe. I can fix this by using `select_for_update(of=(\"self\",))` on the stock queryset to lock only that specific row, which Postgres supports with the FOR UPDATE OF clause. Let me implement this now."}]}}],["p",{},["text",{},"Confirmed the root cause. "],["code",{},"variant"],["text",{}," is "],["code",{},"null=True"],["text",{}," (LEFT OUTER JOIN → PostgreSQL rejects the lock), while shipping's "],["code",{},"order"],["text",{}," is a non-null OneToOneField (INNER JOIN → safe). The fix is to lock only the "],["code",{},"StockItem"],["text",{}," row via "],["code",{},"of=(\"self\",)"],["text",{},"."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_9EmMGVuOIOj","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/inventory/selectors.py","baseName":"selectors.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/inventory/selectors.py\" \nGENERATING","latestDeploymentInfo":"$10f:1:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_vu8y3_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_9EmMGVuOIOj","meta":{"taskNameActive":"Fixing stock row lock","taskNameComplete":"Fixed stock row lock","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing stock row lock","taskNameComplete":"Fixed stock row lock"},"id":"block-b_9EmMGVuOIOj"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123009979,"finishedAt":1785123028190,"lastPartSentAt":1785123027843,"taskNameActive":"Verifying lock fix on Postgres","taskNameComplete":"Verified lock fix on Postgres","toolCallId":"toolu_01MFnBrFZYsdevkqrxcQMbHt","agentTurnId":"turn_9QaDIRRs6Fcfbe9T","filePath":null,"id":"ei4A4JacHcwgsaKL","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== inventory on POSTGRES ===\" && PYTHONPATH=/tmp .venv/bin/python -m pytest apps/inventory -q --ds=pgtest_settings 2>&1 | tail -8 && echo \"=== full suite on SQLite (no regression) ===\" && .venv/bin/python -m pytest -q 2>&1 | tail -4","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"BUgBQPfV3np6dueM"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== inventory on POSTGRES ===\n"},"id":"UnaXi4ZuXiwP5mb6"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"............... [100%]\n15 passed in 4.70s\n"},"id":"CHA6OnsfCpTiapvS"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== full suite on SQLite (no regression) ===\n"},"id":"eCrAaMmO9kqlZt3U"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n=========================== short test summary info ============================\nSKIPPED [1] apps/inventory/tests/test_services.py:140: SQLite does not provide SELECT FOR UPDATE row-level locking semantics.\n361 passed, 1 skipped, 2 warnings in 9.95s\n"},"id":"Oco8suWV4Nh156gf"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123032491,"finishedAt":1785123033190,"lastPartSentAt":1785123033190,"taskNameActive":null,"id":"pkv2yFrZomZViMHN","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"All the inventory tests are passing on Postgres now, including the concurrency scenarios with no overselling issues. Time to run the full test suite against Postgres to surface any other database-specific problems that SQLite might have been masking."}]}}],["p",{},["text",{},"The concurrency test now passes on real Postgres — no overselling. Since SQLite masked that bug, let me run the "],["strong",{},["text",{},"entire suite"]],["text",{}," against Postgres to find any other hidden dialect bugs."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123035857,"finishedAt":1785123052090,"lastPartSentAt":1785123051868,"taskNameActive":"Running full suite on Postgres","taskNameComplete":"Ran full suite on Postgres","toolCallId":"toolu_01C6ugrDFyvoCJopBPuWgzF2","agentTurnId":"turn_qIujeYmdh45gd9DV","filePath":null,"id":"uCC05a3C8Is9WjXb","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && PYTHONPATH=/tmp .venv/bin/python -m pytest -q --ds=pgtest_settings 2>&1 | tail -25","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"8m5ZoH5XTGhT1SB2"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"apps/core/tests/test_checks.py::test_production_settings_accept_explicit_secure_configuration\n /vercel/share/v0-project/backend/.venv/lib/python3.13/site-packages/django/test/utils.py:443: UserWarning: Overriding setting DATABASES can lead to un\n\n...\n\ns/orders/tests/test_checkout.py::test_checkout_rejects_stale_price_and_mixed_currency_without_side_effects\nFAILED apps/orders/tests/test_checkout.py::test_checkout_accepts_owned_covered_customer_address\n18 failed, 344 passed, 2 warnings in 13.99s\n"},"id":"ir5BxBqWM6WRWJGL"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123056672,"finishedAt":1785123057252,"lastPartSentAt":1785123057252,"taskNameActive":null,"id":"1OO02ybD3JanWey3","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"There are 18 additional test failures showing up on Postgres that SQLite was masking—they're hitting critical user paths like the shopping cart, checkout, and product search. I need to dig into what's causing these errors."}]}}],["p",{},["text",{},"18 more Postgres-only failures in cart, checkout, and search — all core flows. Let me see the actual errors."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123058937,"finishedAt":1785123065991,"lastPartSentAt":1785123065768,"taskNameActive":"Diagnosing Postgres failures","taskNameComplete":"Diagnosed Postgres failures","toolCallId":"toolu_01QjRapKZ6objrbT1A2qSRU4","agentTurnId":"turn_4WRkhJAN8LlojX3n","filePath":null,"id":"8jAjvHNVtyqmEs85","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && PYTHONPATH=/tmp .venv/bin/python -m pytest apps/cart/tests/test_services.py::test_add_consolidates_and_snapshot_survives_price_change apps/catalog/tests/test_search.py::test_sorting_and_page_metadata_are_deterministic apps/orders/tests/test_checkout.py::test_checkout_creates_immutable_snapshots_and_reservation -q --ds=pgtest_settings 2>&1 | grep -E \"Error|error:|LINE|HINT|DETAIL|^E |assert|\\.py:[0-9]+\" | head -40","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"KVuomS4oIDXNL9QS"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":".venv/lib/python3.13/site-packages/django/db/backends/utils.py:105: \nE psycopg.errors.FeatureNotSupported: FOR UPDATE cannot be applied to the nullable side of an outer join\n.venv/lib/python3.13/site-packages/psycopg/cursor.py:97: FeatureNo"},"id":"sSm8QpcmtJLdkxB0"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"tSupported\napps/cart/tests/test_services.py:47: \n/home/vercel-sandbox/.local/share/uv/python/cpython-3.13.11-linux-x86_64\n\n...\n\n: \"django.request\", \"module\": \"log\", \"correlation_id\": \"-\", \"message\": \"Internal Server Error: /api/v1/orders/checkout/\"}\n"},"id":"wgU08Ihg73iYvwGo"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123072163,"finishedAt":1785123075087,"lastPartSentAt":1785123075087,"taskNameActive":null,"id":"ED77VmmAPXtACjrZ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":3,"thought":"I'm identifying two separate bug patterns here. The first is a recurring issue with FOR UPDATE locks combined with nullable outer joins appearing across multiple files—the cart services, order items, and wishlist all have this same problematic pattern. The second is an unrelated search sorting bug where the ordering behaves differently on Postgres, likely due to how NULL values are handled or collation settings affecting the results.\n\nThe slug mismatch I'm seeing ('trail' vs 'trail-sample', 'city-bag' vs 'trail-sample') suggests these might actually be different products entirely rather than a sorting issue, so that could be test data contamination between test runs. I should tackle the FOR UPDATE locking issues first by systematically finding all instances where select_for_update is combined with select_related or nullable joins across the codebase."}]}}],["p",{},["text",{},"Two distinct bug classes. The "],["code",{},"FOR UPDATE"],["text",{}," + nullable-join bug also affects cart, wishlist, and checkout. Let me find every occurrence."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123075825,"finishedAt":1785123079306,"lastPartSentAt":1785123079192,"taskNameActive":"Reading cart services","taskNameComplete":"Read cart services","toolCallId":"toolu_01V5nNeTm4W2hw4dzpSCwNdE","agentTurnId":"turn_dxBIRMr6EYXsB7nA","filePath":null,"id":"HhpzakKopM8sI8pb","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/cart/services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/cart/services.py","offset":39,"limit":110}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123077770,"finishedAt":1785123080202,"lastPartSentAt":1785123079903,"taskNameActive":"Listing all lock sites","taskNameComplete":"Listed all lock sites","toolCallId":"toolu_012VXT2tXdBnYdVMGcuermcQ","agentTurnId":"turn_dxBIRMr6EYXsB7nA","filePath":null,"id":"MXQMCk0XjWMozipy","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && grep -rn \"select_for_update\" apps --include=*.py | grep -v tests"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"zn0rhnwOFRwbOoJI"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"apps/cart/selectors.py:13: return queryset.select_for_update() if for_update else queryset\napps/cart/selectors.py:18: return queryset.select_for_update() if for_update else queryset\napps/cart/selectors.py:26: return queryset.select_for_u\n\n...\n\npk=review_id)\napps/shipping/services.py:114: shipment = Shipment.objects.select_for_update().select_related(\"order\").get(pk=shipment_id)\napps/support/services.py:68: return SupportTicket.objects.select_for_update().get(id=ticket_id)\n"},"id":"dvovi3aKfLK0ujgE"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123087360,"finishedAt":1785123088234,"lastPartSentAt":1785123088234,"taskNameActive":null,"id":"yF1ti7KgDA73cN5x","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm identifying the specific issue: select_for_update combined with select_related on nullable foreign keys creates a problem. Now I need to examine the relevant code sections across the codebase to understand where this pattern appears."}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"35B4yB2lEefi07tH-wSAjFLC6m7WQqb1l-jE8aPz4vjM1hqAOd","parts":[{"createdAt":1785123088398,"finishedAt":1785123091206,"lastPartSentAt":1785123091186,"taskNameActive":"Reading cart selectors","taskNameComplete":"Read cart selectors","toolCallId":"toolu_01GDKesEUjCsevXm6F5QJkqm","agentTurnId":"turn_6iFmAbiGlVC3yW9R","filePath":null,"id":"35B4yB2lEefi07tH","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/cart/selectors.py"}]},{"createdAt":1785123089227,"finishedAt":1785123091335,"lastPartSentAt":1785123091204,"taskNameActive":"Reading orders lock sites","taskNameComplete":"Read orders lock sites","toolCallId":"toolu_017qzMbX4vWzVMWcmdSN5tY8","agentTurnId":"turn_6iFmAbiGlVC3yW9R","filePath":null,"id":"wSAjFLC6m7WQqb1l","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/orders/services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/orders/services.py","offset":211,"limit":20}]},{"createdAt":1785123090300,"finishedAt":1785123091336,"lastPartSentAt":1785123091204,"taskNameActive":"Reading checkout lock","taskNameComplete":"Read checkout lock","toolCallId":"toolu_01MyDdp9ZQRUntJnqZssSfMA","agentTurnId":"turn_6iFmAbiGlVC3yW9R","filePath":null,"id":"jE8aPz4vjM1hqAOd","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/orders/services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/orders/services.py","offset":375,"limit":20}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 3 Files","taskNameComplete":"Explore • 3 Files"},"id":"35B4yB2lEefi07tH-wSAjFLC6m7WQqb1l-jE8aPz4vjM1hqAOd"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123096524,"finishedAt":1785123106050,"lastPartSentAt":1785123106050,"taskNameActive":null,"id":"XQcoH3pWdnmJWLmn","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":10,"thought":"$114"}]}}],["p",{},["text",{},"Let me check the remaining lock sites and the nullability of "],["code",{},"Cart.customer"],["text",{}," / "],["code",{},"Wishlist.customer"],["text",{},"."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"99AI4q90cdHcrsoX-2OS5X1uqCr9dbCA2","parts":[{"createdAt":1785123106091,"finishedAt":1785123108551,"lastPartSentAt":1785123108523,"taskNameActive":"Reading cart merge and wishlist","taskNameComplete":"Read cart merge and wishlist","toolCallId":"toolu_018m7ygDpqXCgpE4iwYaiQYx","agentTurnId":"turn_nE8VrZvFKZL2Pc2V","filePath":null,"id":"99AI4q90cdHcrsoX","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/cart/services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/cart/services.py","offset":177,"limit":115}]},{"createdAt":1785123107869,"finishedAt":1785123108735,"lastPartSentAt":1785123108715,"taskNameActive":"Checking cart model FKs","taskNameComplete":"Checked cart model FKs","toolCallId":"toolu_016me8YJown3G3N6j1d1tN38","agentTurnId":"turn_nE8VrZvFKZL2Pc2V","filePath":null,"id":"2OS5X1uqCr9dbCA2","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"^class |customer\\s*=\\s*models\\.|variant\\s*=\\s*models\\.|product\\s*=\\s*models\\.|cart\\s*=\\s*models\\.|wishlist\\s*=\\s*models\\.","path":"/vercel/share/v0-project/backend/apps/cart/models.py"},{"type":"grep-file-results","numFileMatches":1}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 1 File • 1 Search","taskNameComplete":"Explore • 1 File • 1 Search"},"id":"99AI4q90cdHcrsoX-2OS5X1uqCr9dbCA2"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123116700,"finishedAt":1785123118453,"lastPartSentAt":1785123118453,"taskNameActive":null,"id":"aChatMCxGOCffZGZ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"I'm spotting several nullability issues in the ORM queries that are causing bugs. The Cart and CartItem models have nullable foreign keys that are triggering LEFT JOINs when they should be INNER JOINs, and the same problem exists with WishlistItem. The Wishlist query is safe but I should scope it to self to avoid unnecessary row locking contention. I need to check the select_related call in orders/services.py around line 386 for the CartItem-product relationship.\n\nI'm also seeing that StockItem's select_related on warehouse creates an INNER JOIN that locks warehouse rows unnecessarily, so I'll scope that to self as well. The cart items query with select_for_update is already safe since it doesn't use select_related. Now I'll apply the fixes using of=(\"self\",) to scope the locks appropriately."}]}}],["p",{},["text",{},"All confirmed. "],["code",{},"Cart.customer"],["text",{},", "],["code",{},"CartItem.variant"],["text",{},", and "],["code",{},"WishlistItem.variant"],["text",{}," are all nullable, producing unlockable LEFT JOINs. Let me fix the cart selectors."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_XhBFu9KaA5H","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/cart/selectors.py","baseName":"selectors.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/cart/selectors.py\" \nGENERATING","latestDeploymentInfo":"$10f:2:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_2v2vm_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_XhBFu9KaA5H","meta":{"taskNameActive":"Fixing cart lock scope","taskNameComplete":"Fixed cart lock scope","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing cart lock scope","taskNameComplete":"Fixed cart lock scope"},"id":"block-b_XhBFu9KaA5H"}],["p",{},["text",{},"Now the two lock sites in the checkout path."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_yDoiV6gN6CR","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/orders/services.py","baseName":"services.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/orders/services.py\" \nGENERATING","latestDeploymentInfo":"$10f:3:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_sbqs4_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_yDoiV6gN6CR","meta":{"taskNameActive":"Fixing checkout cart item lock","taskNameComplete":"Fixed checkout cart item lock","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing checkout cart item lock","taskNameComplete":"Fixed checkout cart item lock"},"id":"block-b_yDoiV6gN6CR"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123143981,"finishedAt":1785123144654,"lastPartSentAt":1785123144654,"taskNameActive":null,"id":"W1SnWfwHxv2Fueoz","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The stock reservation query at line 220 uses select_related on the warehouse, which creates an inner join and locks warehouse rows—this serializes all reservations within that warehouse and becomes a real bottleneck in the checkout flow, so I need to scope this carefully."}]}}],["p",{},["text",{},"Now the stock reservation lock. "],["code",{},"warehouse"],["text",{}," is non-null so it's legal, but locking the warehouse row serializes every concurrent checkout in that warehouse — real contention in the hottest path."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_AtJQJe1buIr","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/orders/services.py","baseName":"services.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/orders/services.py\" \nGENERATING","latestDeploymentInfo":"$10f:4:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_bavsy_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_AtJQJe1buIr","meta":{"taskNameActive":"Scoping reservation lock","taskNameComplete":"Scoped reservation lock","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Scoping reservation lock","taskNameComplete":"Scoped reservation lock"},"id":"block-b_AtJQJe1buIr"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123154624,"finishedAt":1785123171513,"lastPartSentAt":1785123171201,"taskNameActive":"Rechecking Postgres suite","taskNameComplete":"Rechecked Postgres suite","toolCallId":"toolu_013KQhQk7gNv9UAUH2ypXEao","agentTurnId":"turn_JBky0JzyE2HsbY5H","filePath":null,"id":"5bXTZg6j8BV6hZjs","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && PYTHONPATH=/tmp .venv/bin/python -m pytest -q --ds=pgtest_settings 2>&1 | tail -12","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"Mu0RetXHD5a525bu"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"{\"timestamp\": \"2026-07-27T03:32:44.070240+00:00\", \"level\": \"INFO\", \"logger\": \"apps.request\", \"module\": \"middleware\", \"correlation_id\": \"19ed2d85a9dd48789d69508d54b06fc5\", \"message\": \"request.completed\", \"context\": {\"method\": \"GET\", \"path\": \"/api/\n\n...\n\n============\nFAILED apps/catalog/tests/test_search.py::test_sorting_and_page_metadata_are_deterministic\nFAILED apps/catalog/tests/test_search.py::test_returns_public_facet_options_counts_and_price_bounds\n2 failed, 360 passed, 2 warnings in 13.92s\n"},"id":"aEhQwUtb8D261zwC"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123177824,"finishedAt":1785123178631,"lastPartSentAt":1785123178631,"taskNameActive":null,"id":"vFUPuCWayF0bpfqw","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"Most of the fixes are in place, but I'm hitting a snag with the last two issues—they're related to how catalog search handles sorting and faceting differently on Postgres. I need to dig into what's causing that divergence."}]}}],["p",{},["text",{},"16 of 18 fixed. The remaining two are genuine Postgres/SQLite behavior differences in catalog search. Let me investigate."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123180425,"finishedAt":1785123190096,"lastPartSentAt":1785123189822,"taskNameActive":"Diagnosing search failures","taskNameComplete":"Diagnosed search failures","toolCallId":"toolu_011hTPs812bsu9zrAq9hMHon","agentTurnId":"turn_cbvmiQeA045PazWd","filePath":null,"id":"YaFNhEP60D3pyqu0","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && PYTHONPATH=/tmp .venv/bin/python -m pytest apps/catalog/tests/test_search.py -q --ds=pgtest_settings 2>&1 | grep -vE '\"level\"|correlation_id' | grep -E \"^E |assert|def test|> \" | head -40","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"a8p5ZjVHr2kCaT3R"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" def test_sorting_and_page_metadata_are_deterministic(catalog):\n> assert _slugs(response) == [\"city-bag\", \"trail-sample\"]\nE AssertionError: assert ['trail', 'city-bag'] == ['city-bag', 'trail-sample']\nE \nE At index 0 di"},"id":"8j70x690jbq6dmwC"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ff: 'trail' != 'city-bag'\nE Use -v to get more diff\n def test_returns_public_facet_options_counts_and_price_bo\n\n...\n\n {'max': '150.00'} != {'max': '150'}\nE {'min': '75.00'} != {'min': '75'}\nE Use -v to get more diff\n"},"id":"Q2uqc1FbhHqECOpC"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123181379,"finishedAt":1785123183520,"lastPartSentAt":1785123183354,"taskNameActive":"Reading search tests","taskNameComplete":"Read search tests","toolCallId":"toolu_01HTgwmunjhMWz3aFtU9f9by","agentTurnId":"turn_cbvmiQeA045PazWd","filePath":null,"id":"4SjIjxxtJ2Ejo6HP","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/tests/test_search.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/tests/test_search.py","offset":119,"limit":80}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123198623,"finishedAt":1785123203287,"lastPartSentAt":1785123203287,"taskNameActive":null,"id":"eHiAG1S6dkUXdZ23","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":5,"thought":"I'm identifying a real pagination bug where sorting by price without a stable tiebreaker causes different product orderings between Postgres and SQLite, leading to rows repeating or disappearing across pages—a classic production issue when `ORDER BY` lacks a unique secondary sort key.\n\nThe second bug involves price facet formatting inconsistency: SQLite returns raw floats/ints while Postgres returns properly formatted Decimals with scale, so the API returns \"75\" on one backend and \"75.00\" on the other. I need to check the search code and facet serialization to determine which format the API contract expects and normalize accordingly."}]}}],["p",{},["text",{},"Two more real bugs. Let me examine the search implementation."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123203654,"finishedAt":1785123205945,"lastPartSentAt":1785123205773,"taskNameActive":"Reading catalog search","taskNameComplete":"Read catalog search","toolCallId":"toolu_01ExZsWF6xUHSPS8pVCcwG74","agentTurnId":"turn_p9l3kH7kloCWm0so","filePath":null,"id":"dgFb4ajni6AvIXXK","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/search.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123213446,"finishedAt":1785123225606,"lastPartSentAt":1785123225606,"taskNameActive":null,"id":"4V4kBwKMhGIoeoUj","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":12,"thought":"$115"}]}}],["p",{},["text",{},"Ordering already has an "],["code",{},"id"],["text",{}," tiebreaker, so let me check the fixture — I suspect tied prices plus UUID collation differences."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123225819,"finishedAt":1785123227269,"lastPartSentAt":1785123227242,"taskNameActive":"Reading search fixture","taskNameComplete":"Read search fixture","toolCallId":"toolu_01Y9jW8mM2yadkDm2rauPeGW","agentTurnId":"turn_GWkfD5tJAvarUcb4","filePath":null,"id":"Rj6ZaZ6kE2jDlBcI","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/tests/test_search.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/tests/test_search.py","offset":0,"limit":75}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123231898,"finishedAt":1785123232736,"lastPartSentAt":1785123232716,"taskNameActive":"Reading fixture remainder","taskNameComplete":"Read fixture remainder","toolCallId":"toolu_019Bmm7vayMR1VUSjT42nfYs","agentTurnId":"turn_HQIHMTPfDwgegG3R","filePath":null,"id":"TpBPcnFPi7GcVH2g","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/tests/test_search.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/tests/test_search.py","offset":74,"limit":30}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123237802,"finishedAt":1785123246183,"lastPartSentAt":1785123246183,"taskNameActive":null,"id":"C2F7husfLuIk7XrJ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":8,"thought":"I'm looking at how different databases handle NULL values in descending sort orders. Postgres puts NULLs first when sorting descending, while SQLite treats them as the smallest value and places them last. So for this price list with a NULL entry, the ordering would differ between the two systems.\n\nThis is actually a real production bug—on Postgres, unpriced products float to the top when customers sort by price descending, which is a poor user experience. The fix is to explicitly control NULL placement using `desc(nulls_last=True)` and `asc(nulls_last=True)` so unpriced items always sort to the end regardless of the database or sort direction.\n\nI also need to address the price facet formatting inconsistency—Postgres returns decimals with varying precision like \"75\" while the API should consistently return two decimal places like \"75.00\" to match the rest of the API responses.\n\nLet me start by fixing the ordering logic first, then I'll check how the frontend consumes the price facets."}]}}],["p",{},["text",{},"Root cause found — and it's a "],["strong",{},["text",{},"real production bug"]],["text",{},". "],["code",{},"price_desc"],["text",{}," relies on default NULL placement: PostgreSQL sorts NULLs "],["strong",{},["text",{},"first"]],["text",{}," on DESC, so unpriced products appear at the top of \"price: high to low\". SQLite does the opposite, hiding it. Let me check how the frontend consumes the price facet before fixing both."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123249007,"finishedAt":1785123252028,"lastPartSentAt":1785123250852,"taskNameActive":"Checking facet price usage","taskNameComplete":"Checked facet price usage","toolCallId":"toolu_01EX6DbrZRmfoBVXvMmmExyP","agentTurnId":"turn_QlBl9zfYM3LYFRos","filePath":null,"id":"E2eIJ6UNWW5otgj3","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"facets?\\.price|price\\.(min|max)|price_min|price_max|\\bmin\\b.*\\bmax\\b","path":"/vercel/share/v0-project","globPattern":"*.{ts,tsx}"},{"type":"grep-file-results","numFileMatches":12}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123258720,"finishedAt":1785123260838,"lastPartSentAt":1785123260838,"taskNameActive":null,"id":"JmRxkUSOSyX7bXbP","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"I found a duplicate TypeScript implementation of the storefront service using Drizzle in the codebase — that's a significant architectural detail suggesting there might be two separate backends running. I need to figure out which one the frontend is actually connected to, since that's crucial for understanding the full integration. For the immediate issue though, the price facet minimum value is just being used as a placeholder in the input field, so the formatting difference between \"75.00\" and \"75\" is purely cosmetic.\n\nI should normalize everything to two decimal places for consistency across the money API, then tackle the NULL ordering bug that's actually causing problems."}]}}],["p",{},["text",{},"Fixing the NULL-ordering bug so unpriced products never lead a price sort, and normalizing price bounds to the same 2-decimal money format the rest of the API uses."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_5Tyg2APasI5","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/catalog/search.py","baseName":"search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/catalog/search.py\" \nGENERATING","latestDeploymentInfo":"$10f:5:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_u9gqp_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_5Tyg2APasI5","meta":{"taskNameActive":"Fixing price sort nulls","taskNameComplete":"Fixed price sort nulls","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing price sort nulls","taskNameComplete":"Fixed price sort nulls"},"id":"block-b_5Tyg2APasI5"}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_OrVqmRGrHMi","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/catalog/search.py","baseName":"search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/catalog/search.py\" \nGENERATING","latestDeploymentInfo":"$10f:6:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_og2qf_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_OrVqmRGrHMi","meta":{"taskNameActive":"Importing F expression","taskNameComplete":"Imported F expression","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Importing F expression","taskNameComplete":"Imported F expression"},"id":"block-b_OrVqmRGrHMi"}],["p",{},["text",{},"Now normalize the price facet bounds so they don't vary by database backend."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_NMdTkp0D476","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/catalog/search.py","baseName":"search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/catalog/search.py\" \nGENERATING","latestDeploymentInfo":"$10f:7:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_w5d46_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_NMdTkp0D476","meta":{"taskNameActive":"Normalizing price bounds","taskNameComplete":"Normalized price bounds","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Normalizing price bounds","taskNameComplete":"Normalized price bounds"},"id":"block-b_NMdTkp0D476"}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_q7CVpXbQrFD","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/catalog/search.py","baseName":"search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/catalog/search.py\" \nGENERATING","latestDeploymentInfo":"$10f:8:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_bw4oq_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_q7CVpXbQrFD","meta":{"taskNameActive":"Adding money helper","taskNameComplete":"Added money helper","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Adding money helper","taskNameComplete":"Added money helper"},"id":"block-b_q7CVpXbQrFD"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123297320,"finishedAt":1785123298498,"lastPartSentAt":1785123298498,"taskNameActive":null,"id":"tYvU9hDO3waRTF40","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The sorting test already matches the expected behavior with nulls_last ordering, so no changes needed there. For the price facet, I need to update the test to reflect the new min/max values of \"75\" and \"150\" instead of what was previously expected."}]}}],["p",{},["text",{},"The sorting fix makes the existing test expectation correct on both backends. Now the facet test needs updating to the corrected money contract."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123300153,"finishedAt":1785123301476,"lastPartSentAt":1785123301456,"taskNameActive":"Finding facet assertion","taskNameComplete":"Found facet assertion","toolCallId":"toolu_01NesgYfHw7LtY6ApsoNdX5d","agentTurnId":"turn_c7NHkvEdQyu2ESa4","filePath":null,"id":"mFpMTvSMIjTLVoEp","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"facets\\[\"price\"\\]","path":"/vercel/share/v0-project/backend"},{"type":"grep-file-results","numFileMatches":1}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_4UpAeas8OWE","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"/backend/apps/catalog/tests/test_search.py","baseName":"test_search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]py:file=\"/backend/apps/catalog/tests/test_search.py\" \nGENERATING","latestDeploymentInfo":"$10f:9:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_lt2bc_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_4UpAeas8OWE","meta":{"taskNameActive":"Updating facet assertion","taskNameComplete":"Updated facet assertion","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Updating facet assertion","taskNameComplete":"Updated facet assertion"},"id":"block-b_4UpAeas8OWE"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123318178,"finishedAt":1785123318500,"lastPartSentAt":1785123318500,"taskNameActive":null,"id":"UFw7w3hqhzM8hwzn","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I should add a regression test for null ordering to ensure the price_desc sorting correctly places unpriced items last, which the existing test on page 2 already validates. Let me run both test suites to confirm everything passes."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123319985,"finishedAt":1785123347405,"lastPartSentAt":1785123346707,"taskNameActive":"Verifying both backends","taskNameComplete":"Verified both backends","toolCallId":"toolu_01MCgPfwnyRFuyH8r9XkNVsx","agentTurnId":"turn_AouVqOY2c9S9bgEI","filePath":null,"id":"86rODmwzPADlYT6t","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== POSTGRES ===\" && PYTHONPATH=/tmp .venv/bin/python -m pytest -q --ds=pgtest_settings 2>&1 | tail -5 && echo \"=== SQLITE ===\" && .venv/bin/python -m pytest -q 2>&1 | tail -5 && echo \"=== LINT ===\" && .venv/bin/ruff check apps 2>&1 | tail -10 && echo \"=== FORMAT ===\" && .venv/bin/ruff format --check apps 2>&1 | tail -5","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"h2cE6Q52PQPfFG2c"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== POSTGRES ===\n"},"id":"mkGvoRI8zLrr2MfL"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== SQLITE ===\n"},"id":"kDs08ykpMNsoyZWd"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"/v0-project/backend/.venv/lib/python3.13/site-packages/django/test/utils.py:443: UserWarning: Overriding setting DATABASES can lead to unexpected behavior.\n with self as context:\n\n-- Docs: https://docs.pytest.org/en"},"id":"7D0MOka7OUb5LDUf"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"/stable/how-to/capture-warnings.html\n362 passed, 2 warnings in 13.19s\n=== SQLITE ===\n\n-- Docs: https://docs.pytest.org/en\n\n...\n\npi/exception_handler.py\nWould reformat: apps/shipping/views.py\n24 files would be reformatted, 230 files already formatted\n"},"id":"aVov27LxZo6wl9Zv"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785123355074,"finishedAt":1785123357091,"lastPartSentAt":1785123357091,"taskNameActive":null,"id":"23uvjZHfUCsOXyI0","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"Tests are passing across both databases, though there's a pre-existing lint error on line 280 in catalog/search.py that's breaking the CI gate—I'll fix that line length issue since it's a quick one-liner. There's also a formatting check flagging 24 files that need reformatting, which is also pre-existing.\n\nI should check whether ruff format would touch any of my edited files specifically before deciding whether to mass-reformat, since I don't want to create unnecessary diff noise. Let me fix the E501 error and verify the formatting on just my changes."}]}}],["p",{},["strong",{},["text",{},"362 pass on Postgres, 361 pass on SQLite."]],["text",{}," There's one pre-existing lint failure breaking the quality gate — let me fix it and check formatting on the files I touched."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_YWI6D0SXPo4","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"/backend/.env","baseName":".env","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/apps/inventory/selectors.py","baseName":"selectors.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/apps/cart/selectors.py","baseName":"selectors.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/apps/orders/services.py","baseName":"services.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/apps/catalog/search.py","baseName":"search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"/backend/apps/catalog/tests/test_search.py","baseName":"test_search.py","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"$116","latestDeploymentInfo":"$10f:10:1","lastDeployedAt":"2026-07-27T03:36:05.765Z","sourceVersionKey":"v_1_tzqm0_s3","needsBlockSource":false,"isAllImages":false,"blockId":"b_YWI6D0SXPo4","meta":{"taskNameActive":"Fixing line length","taskNameComplete":"Fixed line length","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Fixing line length","taskNameComplete":"Fixed line length"},"id":"block-b_YWI6D0SXPo4"}],["AssistantMessageContentPart",{"part":{"createdAt":1785123360220,"finishedAt":1785123360220,"lastPartSentAt":1785123360220,"id":"TIcB7vM1NZrSrBaT","type":"task-stopped-v1","parts":[{"type":"agent-timeout","willContinueAfterTimeout":true}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"IlvEMYUL6TS7vYFkuFcE2tNnEUrQvaZ3","gitRevision":null,"streaming":false,"finishReason":"tool-calls","parentId":"7hWFi7ThqcsmVqGLesYG0i3Bx2c5PrNJ","type":"message","creditCost":3.548594,"workMetrics":{"diffMap":{},"linesRead":1649,"agentActions":59},"createdAt":"$D2026-07-27T03:25:39.727Z","updatedAt":"$D2026-07-27T03:36:00.499Z"},{"content":{"type":"parts","parts":[{"type":"timeout-continue"}],"version":1},"role":"user","id":"PxfWReewGJvMdimVEgA4slfJ1ndEacPD","attachments":[],"parentId":"IlvEMYUL6TS7vYFkuFcE2tNnEUrQvaZ3","type":"message","authorId":"JZHFEuaJPfriOD7osU1PxL17","createdAt":"$D2026-07-27T03:36:03.827Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785123369642,"finishedAt":1785123384976,"lastPartSentAt":1785123384804,"taskNameActive":"Verifying lint and tests","taskNameComplete":"Verified lint and tests","toolCallId":"toolu_01GS11ao2ZL6y4YekvzNEG9Y","agentTurnId":"turn_X3DQ1afQWmyU5wAg","filePath":null,"id":"vsxAXIjYZ0FTUHEU","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== LINT ===\" && .venv/bin/ruff check apps 2>&1 | tail -6 && echo \"=== FORMAT ===\" && .venv/bin/ruff format --check apps 2>&1 | tail -6 && echo \"=== POSTGRES SUITE ===\" && PYTHONPATH=/tmp .venv/bin/python -m pytest -q --ds=pgtest_settings 2>&1 | tail -4","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"TcDqga0GkMDOK2us"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== LINT ===\nAll checks passed!\n=== FORMAT ===\nWould reformat: apps/promotions/tests/test_engine.py\nWould reformat: apps/promotions/views.py\nWould reformat: apps/returns/serializers.py\nWould reformat: apps/shared_kernel/api/exception_handler.py\nWould"},"id":"H2lTHVY1xo108cuj"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" reformat: apps/shipping/views.py\n24 files would be reformatted, 230 files already formatted\n=== POSTGRES SUITE ===\n with self as context:\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n362 passed, 2 warnings in 13.31s\n"},"id":"VA77CP0FKnFZMRXG"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-0","parts":[{"type":"thinking-end","duration":3.5352941176470587,"thought":"Lint passes now. Format: 24 files would be reformatted — but this is pre-existing across the repo (230 already formatted). I should check whether the files I touched are in that list. My touched files: apps/inventory/selectors.py, apps/cart/selectors.py, apps/orders/services.py, apps/catalog/search.py, apps/catalog/tests/test_search.py.\n\nLet me check if my files are in the reformat list. The list shown is truncated (tail -6). Let me check specifically my files.\n\nAlso note: `ruff format --check` failing on 24 files is pre-existing repo state, not my concern to fix all — but I must not ADD to it."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-0"}],["p",{},["text",{},"Lint passes and 362 tests pass on Postgres. The 24 format warnings look pre-existing — let me confirm my touched files aren't among them."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123397662,"finishedAt":1785123399430,"lastPartSentAt":1785123399258,"taskNameActive":"Checking format of edits","taskNameComplete":"Checked format of edits","toolCallId":"toolu_016crkfv5HquGPNEH388zek5","agentTurnId":"turn_nWaFU8zgHvgxVMcO","filePath":null,"id":"BJgFfvor9PRYitBh","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== my touched files ===\" && .venv/bin/ruff format --check apps/inventory/selectors.py apps/cart/selectors.py apps/orders/services.py apps/catalog/search.py apps/catalog/tests/test_search.py 2>&1 | tail -8 && echo \"=== is format gate part of CI? ===\" && ls ../.github/workflows 2>/dev/null && grep -rn \"ruff format\\|ruff check\" ../.github/workflows 2>/dev/null | head","timeout":300000}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"8bNj7eFwIL0nZZ0H"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== my touched files ===\nWould reformat: apps/catalog/search.py\nWould reformat: apps/catalog/tests/test_search.py\nWould reformat: apps/orders/services.py\n3 files would be reformatted, 2 files already formatted\n=== is format gate part of CI? ===\n"},"id":"CLUFiJ3wDnVKjirY"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-1","parts":[{"type":"thinking-end","duration":2.276470588235294,"thought":"3 of my touched files would be reformatted. But were they already unformatted BEFORE my changes? Let me check with git diff — I can check git stash or use git to see the original. Let me check if these files were already in the \"would reformat\" list before my edits by checking out the original version to a temp location.\n\nLet me use git show HEAD:path to get original and check format."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-1"}],["p",{},["text",{},"Let me determine whether those files were already unformatted before my edits, so I only fix what I introduced."]],["AssistantMessageContentPart",{"part":{"createdAt":1785123407051,"finishedAt":1785123408725,"lastPartSentAt":1785123408582,"taskNameActive":"Comparing pre-existing format","taskNameComplete":"Compared pre-existing format","toolCallId":"toolu_01LCubQLKvEJ7WXR4EHMDiiq","agentTurnId":"turn_zbDZwntVwUj7G11r","filePath":null,"id":"mgAxT4nwwP9Z4Q2W","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && mkdir -p /tmp/origfmt/catalog/tests /tmp/origfmt/orders && for p in backend/apps/catalog/search.py 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