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Populate the database with a small number of realistic records that behave exactly like data created by an administrator through the Admin Panel. Do not use mock APIs, hardcoded frontend data, or placeholder content. The seed data should include only the minimum required records, such as: - A few categories and subcategories. - 10–20 realistic products with images, pricing, stock, attributes, and SEO data. - A small number of customers with realistic profiles. - Sample orders covering different order statuses. - Coupons, banners, brands, tags, reviews, wishlists, and shopping carts. - Shipping methods, payment methods, taxes, and other essential business data. - A few marketing campaigns, notifications, and analytics records where applicable. Requirements: - All data must be inserted through the application's business logic, models, services, and validation layers, not by bypassing the system with raw database inserts. - Every seeded record must be indistinguishable from data created manually by an administrator and must appear correctly throughout both the Admin Panel and Frontend. - Ensure all relationships are valid (products ↔ categories, orders ↔ customers, payments ↔ orders, inventory ↔ products, etc.). - The seeded data must exercise all major features, workflows, dashboards, reports, search, filters, APIs, analytics, and business logic. - Images and media should come from the Media Library so all media functionality can be tested. - The seed process must be idempotent—running it multiple times should not create duplicate records. - Provide separate seed configurations for Development and Testing environments only. Do not populate production with demo data by default. - Ensure seeded data can be enabled, disabled, or regenerated with a single command. - Validate that every seeded record is visible and editable from the Admin Panel, and that all corresponding frontend pages display the data correctly without requiring any manual adjustments. The objective is to provide just enough realistic data for comprehensive end-to-end testing while keeping the database clean, lightweight, and fully representative of a real production environment.40:o8,ae:T597,40:o597,Now I have the full picture of what exists: Exists (declarative data + runtime): - `runtime.py` — guard, SeedContext, SeedReport ✅ - `profiles.py` — development/testing profiles ✅ - `datasets.py` — media folders, brands, categories, attributes, 16 products, shipping methods/zones/rates, warehouses, 5 customers ✅ - `scenarios.py` — 9 order scenarios, 5 coupons, 4 content items, message templates, segments, campaigns, reviews ✅ Missing (the entire installer): - `registry.py` — stage order (referenced by `__init__.py` docstring but doesn't exist) - The `seed_demo` management command (referenced by `__init__.py` docstring, doesn't exist) - The stage implementations that actually call services - Note: `profiles.py` references `datasets.ORDER_SCENARIOS` but it's actually in `scenarios.py` — a real bug/inconsistency to note. So the data is declared but nothing installs it. My job: build the installer stages that call real services, the registry, and the management command. This is a LARGE task. I need to understand the actual service signatures for every module: media, catalog, inventory, shipping, identity, cart, orders, payments, promotions, cms, marketing, reviews, notifications, analytics, finance. This is a big investigation. Let me look at the services of each app. Let me be efficient and grep for function definitions in services.py files. Let me start with the most important ones.40:o8,af:T5ed,40:o5ed,Important: `seed_demo_catalog.py` is exactly the anti-pattern the user is asking me to avoid — it writes ORM directly, sets `units_sold`, `average_rating`, `review_count` by hand, sets `status = PUBLISHED` bypassing `publish_product`. The new `apps/core/seeding` framework explicitly exists to replace this approach ("Nothing bulk-inserts, nothing bypasses a validator, and nothing sets a derived column by hand"). So my job is clear: complete the `apps/core/seeding` framework with the installer stages + registry + `seed_demo` management command. This is a substantial multi-stage build. Given the size and the strict architecture, I should enter plan mode per my guidelines. Actually — the task is well-specified by the user AND the codebase already declares the shape (registry.py + seed_demo command). The direction is essentially pinned by the existing design. But there are real decisions: how many stages, whether to deprecate seed_demo_catalog, etc. Given the scale (this is easily 1500+ lines of new code across many stage modules), and that AI_RULES requires stating plan before coding, let me enter plan mode. Actually, let me first verify key service signatures so the plan is accurate and so I don't write code against guessed APIs. The most critical: catalog.create_product data shape, orders.create_order, media.upload_asset, promotions.create_coupon, cms.create_item, finance/taxes bootstrap, payment methods. Let me read the critical service files now. These are the ones I'll write against.40:o456,b0:T446,I now understand the core flow well. `create_order` requires an active cart with items, an address, a shipping method, and it drives promotions/tax/shipping/COD. Returns (order, created) — idempotent already via idempotency_key. This is a very large implementation. Let me enter plan mode to present the approach, since this is a big multi-file build with real decisions (e.g., what to do about the legacy seed_demo_catalog, how to handle media library binary assets, purge/regenerate semantics). Let me gather a few more critical details first so the plan is accurate: - media.upload_asset signature (needs an upload file object) - finance tax bootstrap / payment methods - shipping models (ShippingMethod, ShippingZone, ShippingRate) — are there services for creating them? shipping/services.py only has quote/create_shipment. So zones/methods/rates may need admin services or direct model creation. Let me check shipping admin_views.py. - identity: register_customer(request, email, password) + address_services - notifications publish - analytics roll_up command Let me check these.b1:T9f1,40:o9f1,Good: - All 16 product images exist in `public/` at the exact paths in `datasets.py` (`catalog/tee-ess/primary.png`, `products/nova-aura-headphones.png`). So the media stage can ingest real bytes from the Next.js `public/` directory into the Media Library via `media.upload_asset`. Files are large (0.5–1.2MB) — 16 uploads plus renditions. That's real but acceptable; Pillow renditions on 16 images is fine. Note `SEED_DEMO_ADMIN_EMAIL` referenced in runtime.py isn't in settings — falls back to default via getattr. Fine. - MEDIA_SCAN_REQUIRED defaults False → renditions built inline, no Celery dependency. Good. Now, the key open decisions for the user. Let me ask about: - Legacy overlapping seeders — `seed_demo_catalog` (bulk-insert anti-pattern, same 13 products/slugs as the new dataset → will COLLIDE on slug/SKU). This is important: the new seed and old seed write the same slugs. Decision needed: deprecate/remove the legacy one, or leave it. I recommend making `seed_demo` authoritative and deleting/deprecating `seed_demo_catalog`. - Scope of this pass — build everything at once vs. core-first. Given "single command" requirement, probably all at once. But I could ask. - Product images: ingest from public/ into media library (recommended, real bytes) — vs generate. I'm confident: ingest from public/. Not worth asking. Actually let me reconsider what's genuinely worth asking. The user's spec is detailed and the codebase pins most choices. The genuinely ambiguous ones: Q1: Legacy seeders — what to do with `seed_demo_catalog` + the ~9 `scripts/seed_*.py` review scripts that overlap. Q2: Whether `seed_demo` should also be wired into a frontend/pnpm command ("single command") and whether it should support `--purge`/`--regenerate`. Q3: Analytics/marketing: sending campaigns actually dispatches via providers. In dev, need to ensure no real sends. Probably worth confirming approach (fake/console provider). Let me ask these three. Actually Q3 I can determine from code — marketing has provider configurations and suppression; send_campaign enqueues delivery jobs. In dev with no provider configured it'd probably fail or queue. Let me quickly check that rather than ask, since it's a technical detail. But it does affect whether the "sent" campaign state is reachable. Let me check send_campaign. Let me be efficient: ask the user the genuine product decisions now, while I verify send_campaign in parallel? No — can't parallel with AskUserQuestions. Let me verify send_campaign first, then ask.40:o8,b2:T5ea,40:o5ea,cd /vercel/share/v0-project/backend && python3 - <<'PY' import ast, pathlib targets = { "apps/media/services.py": ["create_folder","upload_asset","attach_asset","ingest_local_file"], "apps/catalog/services.py": ["create_category","create_brand","create_product","publish_product","create_attribute","add_product_media","upsert_product_seo","create_variant","set_product_attribute"], "apps/inventory/services.py": ["create_warehouse","receive_stock","adjust_stock","set_low_stock_threshold"], "apps/shipping/services.py": ["create_shipping_method","create_zone","create_rate"], "apps/orders/services.py": ["create_order","transition_order_status"], "apps/payments/services.py": ["initiate_payment","capture_payment","confirm_payment","refund_payment"], "apps/promotions/services.py": ["create_coupon","transition_coupon"], "apps/cart/services.py": ["add_item","get_or_create_cart"], "apps/reviews/services.py": ["submit_review","moderate_review","approve_review"], "apps/identity/address_services.py": ["create_address"], } for path, names in targets.items(): p = pathlib.Path(path) if not p.exists(): print(f"!! MISSING {path}"); continue tree = ast.parse(p.read_text()) found = {} for node in ast.walk(tree): if isinstance(node,(ast.FunctionDef,ast.AsyncFunctionDef)) and node.name in names: found[node.name] = f"{node.name}{ast.unparse(node.args)}" print(f"=== {path} ===") for n in names: print(" "+found.get(n, f"[not found: {n}]")) PY40:o86f,b3:T40b,So `publish_product` has strict requirements: public visibility, an active brand, an active primary category, a default active variant, primary image media, and all required-for-publish attributes. This means the dependency order is locked in—media library first to get storage references, then brands and categories, attributes, variants, and finally products. There's a catch though: `publish_product` automatically sets `published_at` to the current time, which means I can't use it alone to honor a `published_days_ago` constraint—that's a real limitation I need to address. I'm also noticing that `media` requires a `storage_ref` from the media library, and the `ProductWriteSerializer` doesn't have an `seo` field even though the requirements mention SEO data. I need to check if the Product model has SEO fields or if there's a separate ProductSeo model. Same thing with inventory—I need to understand how `initialize_stock` and `adjust_stock` work, and what `MEDIA_SCAN_REQUIRED` and the `upload_asset` signature expect.b4:T44c,I'm realizing that SEO metadata fields like `meta_title`, `meta_description`, and `meta_keywords` are only present on the Category model, not on Products themselves. The dataset structure confirms this—Categories and CMS pages both have SEO fields, but the Product class doesn't include any of them. This means there's no actual gap in the schema; the SEO requirements are being met at the category and content level, which aligns with how the data is organized. Now I need to verify a few remaining pieces: the coupon creation serializer and transition actions, whether `create_order` reads from the customer's cart, and the finance/tax setup plus notifications and analytics commands. Looking at `create_order`, it doesn't take items as a parameter—it must be pulling from the customer's existing cart. The flow would be adding items to the cart first via `cart.services.add_item()`, then calling `create_order()` with the customer and idempotency key. The absence of a `capture_payment` method confirms that payments go through `initiate_payment` followed by `apply_provider_outcome` instead.b5:T88b,40:o88b,Now I'm mapping out the full architecture: I need to create a registry system for seeding stages, organize them into separate modules within a stages directory, add a purge utility, and wire everything through a new management command. The old merchandising command should be removed since this replaces it. The stages themselves follow a dependency chain starting with foundational setup (admin roles, finance company, chart of accounts, tax policy), then media assets, taxonomy (brands, categories, attributes), shipping infrastructure, warehouses, products with variants and publishing, inventory initialization, customer registration and profiles, and finally carts and wishlists using the existing cart service. For the remaining stages, I need to handle coupons through their state transitions (create → submit → approve → activate), orders from cart through payment and shipment, reviews from delivered orders with moderation, CMS content like banners and pages, marketing templates and campaigns, notifications, and analytics rollup. Brands don't have a dedicated service so I'll use the BrandSerializer as the validation layer, and shipping similarly relies on serializers since there are no service functions. A few key issues to address: products need explicit backdating since `publish_product` sets `published_at` to now but the dataset expects `published_days_ago`, orders also need backdating for `placed_days_ago` to work with analytics, and both brands and shipping configuration will go through serializers rather than service functions since that's the admin write path. Backdating is actually a cross-cutting concern that affects analytics rollups, new arrivals displays, and cohort reports — everything breaks if all timestamps are from the last second. I'm going to create a single `chronology.py` helper that handles all timestamp backdating after service calls, explicitly documenting which columns get backdated and why. This is a narrow, documented exception to the "never write columns directly" rule and it won't touch money, status, or derived aggregates. Let me check if the management commands directory exists and then write out the full plan.40:o9,b6:T27b2,40:o27b2,# Demo Seed: complete the `apps/core/seeding` installer ## What already exists (do not rewrite) A previous session committed the **declarative half** of this feature. It is sound and stays as-is: | File | Contents | |---|---| | `apps/core/seeding/__init__.py` | Package contract. Docstring already promises a `registry.py` and a `seed_demo` command. | | `apps/core/seeding/runtime.py` | Fail-closed env gate (`ALLOWED_SETTINGS_MODULES` = dev/test only), `SeedReport`, `SeedContext` with `.admin`, `.approver` (for maker-checker), `.request_for(user)` (for session-aware cart services). | | `apps/core/seeding/profiles.py` | `DEVELOPMENT` (16 products, 5 customers, all orders) and `TESTING` (6 products, 2 customers, 3 order scenarios, no marketing/notifications/analytics). | | `apps/core/seeding/datasets.py` | `MEDIA_FOLDERS`, `BRANDS`, `CATEGORIES`, `PRODUCT_ATTRIBUTES`, `PRODUCTS` (16 × `P`), `SHIPPING_METHODS/ZONES/RATES`, `WAREHOUSES`, `CUSTOMERS` (× `C`, with addresses). | | `apps/core/seeding/scenarios.py` | `ORDER_SCENARIOS` (× `O`), `COUPONS` (× `K`), `CONTENT_ITEMS` (× `B`), `MESSAGE_TEMPLATES`, `AUDIENCE_SEGMENTS`, `CAMPAIGNS`, `REVIEWS`. | **What is missing is the entire executable half:** no `registry.py`, no stage code, no purge, no `seed_demo` command. That is this task. Verified: all 16 images referenced by `PRODUCTS` exist under `public/`, so the Media Library stage ingests real bytes. `MEDIA_SCAN_REQUIRED` defaults `False`, so uploaded assets land `CLEAN` without ClamAV. ## Verified write paths (this drives the design) I resolved every service signature rather than assuming. Several assumptions were wrong: - **Products**: `ProductWriteSerializer` → `catalog.services.create_product(validated_data, actor)`. Accepts nested `variants`, `attribute_values`, `media`, `category_ids`, `primary_category_id`, `brand_id`. - **`catalog.services.publish_product`** gate requires: public visibility, active brand, active primary category, a `is_default+is_active` variant, a `is_primary` IMAGE media row, and every `is_required_for_publish` attribute. **This dictates stage order**: media → brands/categories/attributes → products → publish. - **Orders are real checkouts.** `create_order` takes no items — it locks the customer's `ACTIVE` cart (`ConflictError("The active cart is empty.")`). So each scenario must build a cart through `cart.services.add_item(request, ...)` using `ctx.request_for(user)`. - **Payments**: `initiate_payment` + `apply_provider_outcome` (there is no `capture_payment`); refunds via `execute_provider_refund`. - **Coupons**: `create_coupon` → `transition_coupon` `submit`→`approve`→`activate`. `approve` raises `ConflictError` if the submitter approves their own — hence `ctx.approver`. - **Reviews**: `create_review(customer, order_item_id, ...)` → `moderate_review`. Requires a *delivered* order item, so reviews run after orders. - **Inventory**: `initialize_stock` then `adjust_stock` (a real receipt movement), plus `update_low_stock_threshold`. - **Finance**: `bootstrap.create_default_company` / `ensure_chart_of_accounts` / `ensure_default_tax_policy` / `ensure_period`. - **No service layer exists for brands or shipping config.** The admin write path for these is the serializer (`BrandSerializer`, `ShippingMethodSerializer`, `ShippingZoneSerializer`, `ShippingRateSerializer`). The seed will validate through those serializers and save — that *is* the validation layer here, not a bypass. - **SEO**: `meta_title`/`meta_description`/`meta_keywords` exist on **Category** and on CMS content, **not on Product**. The dataset already reflects this. No product-SEO work; the requirement is met where the schema supports it. ## Files to create ``` apps/core/seeding/registry.py # ordered stage table + orchestrator apps/core/seeding/chronology.py # the one documented backdating helper apps/core/seeding/purge.py # natural-key purge + finance guard apps/core/seeding/stages/__init__.py apps/core/seeding/stages/foundation.py # company, CoA, tax policy, periods apps/core/seeding/stages/media.py # folders + upload_asset from public/ apps/core/seeding/stages/taxonomy.py # brands, categories, attributes apps/core/seeding/stages/logistics.py # shipping methods/zones/rates, warehouses apps/core/seeding/stages/catalog.py # products -> publish, stock receipts apps/core/seeding/stages/customers.py # accounts, profiles, addresses apps/core/seeding/stages/engagement.py # carts, wishlists apps/core/seeding/stages/promotions.py # coupon lifecycle apps/core/seeding/stages/orders.py # cart -> order -> payment -> transitions apps/core/seeding/stages/feedback.py # reviews apps/core/seeding/stages/content.py # CMS pages, banners apps/core/seeding/stages/outreach.py # templates, segments, campaigns, notifications apps/core/seeding/stages/insights.py # analytics rollup apps/core/management/commands/seed_demo.py ``` **Delete**: `apps/merchandising/management/commands/seed_demo_catalog.py` — it bulk-inserts the *same* product slugs/SKUs via raw ORM, hand-sets `units_sold` / `average_rating` / `review_count`, and forces `status=PUBLISHED` past the publish gate. It collides with the new seed and is the exact anti-pattern the framework replaces. I will grep for references (docs, Makefile, CI, README) and update them to `seed_demo`. ## Stage contract ```python @dataclass(frozen=True) class Stage: key: str # "catalog" — selectable via --only/--skip label: str run: Callable[[SeedContext], None] enabled: Callable[[SeedProfile], bool] = lambda p: True ``` Each stage is **individually atomic** (`transaction.atomic` per stage, not one giant transaction) so a failure in `outreach` does not roll back a correct catalog, and the report tells you exactly which stage stopped. Every stage resolves its rows by **natural key** (`slug`, `sku`, `code`, `email`) and calls `report.record(label, created=...)`, which is what makes reruns idempotent — the second run reports all-reused and writes nothing. ## Idempotency Rerunning must not duplicate. Per entity: - Catalog/taxonomy/content: look up by `slug` (respecting `deleted_at__isnull=True` live-unique constraints). - Customers: by email on the reserved `demo.northstar.test` domain. - Coupons/campaigns/templates: by `code` / `name`. - Orders: `create_order` already takes `idempotency_key` — derived deterministically from the scenario key (`seed-demo:`), so a rerun is rejected by the app's own idempotency logic rather than by seed bookkeeping. - Media: match on the asset's `checksum_sha256` within the seed folder, so re-ingesting identical bytes reuses the asset. ## The one deliberate exception: backdating `publish_product` sets `published_at=now()`; `create_order` stamps now. But the dataset declares `published_days_ago` / `placed_days_ago`, and it must, because the analytics rollups bucket by day, "new arrivals" sorts on publish date, and the revenue dashboards would otherwise render a single spike in the current second — making exactly the screens this seed exists to test unusable. So `chronology.py` provides a single narrowly-scoped helper that, **after** the real service call has produced the row and its side effects, shifts only whitelisted timestamp columns (`published_at`, `placed_at`, order-event and payment timestamps). It will be documented as the sole intentional direct write, and it **never** touches money, status, or derived aggregates — those stay earned. Any other column is refused by the whitelist. ## Purge / regenerate `purge.py` deletes **only the natural keys the dataset declares** — never a table sweep — so a developer's own hand-made rows survive. Immutable finance evidence (posted journal entries, invoices, payment receipts under `ImmutableModel`) cannot be deleted by design. Purge therefore **inspects first**: if a seeded order has posted financial evidence, it reports those orders and aborts with a clear message, unless `--force-finance` is passed. That keeps the append-only audit guarantee true by default and makes the override an explicit, dev-only act. ## Command surface ```bash python manage.py seed_demo # development profile python manage.py seed_demo --profile testing python manage.py seed_demo --regenerate # purge then seed python manage.py seed_demo --purge # remove seed data only python manage.py seed_demo --only catalog,orders python manage.py seed_demo --skip outreach python manage.py seed_demo --dry-run # plan + gate check, no writes python manage.py seed_demo --list-stages ``` Refuses to run outside `config.settings.dev` / `config.settings.test` via the existing `require_seedable_environment()`; `SEED_DEMO_ALLOW_UNSAFE=1` overrides for a disposable DB but is still refused on prod settings. Prints a per-stage created/reused/removed table on completion. ## Verification 1. `seed_demo --profile development`, then **rerun it** — second run must report 0 created, 0 removed. 2. `--regenerate` twice in a row. 3. Assert env gate rejects `config.settings.prod`. 4. Confirm every product reached `PUBLISHED` **through** `publish_product` (no forced status), each with a primary image from the Media Library. 5. Confirm order statuses span the scenario set and that delivered orders carry shipment, invoice and payment rows produced by the real services. 6. Check `average_rating` / `review_count` / `units_sold` are non-zero **because** reviews and orders exist — not because anything set them. 7. Exercise the admin list/detail/edit endpoints and the storefront pages (listing, PDP, search, filters, cart) against seeded rows. 8. Run the existing backend test suite to confirm the deleted legacy command breaks nothing. ## Notes - Nothing leaves the machine: `send_campaign` only *queues* delivery jobs; dispatch needs the separate `process_marketing_messages` drain, which the seed does not run. - Passwords for seeded accounts are the documented dev credential, set through the user manager so hashing applies. 40:o8,b7:T747,40:o747,**Complete the half-built seed framework in `apps/core/seeding/`.** - The declarative half already exists (`datasets.py`, `scenarios.py`, `profiles.py`, `runtime.py` — ~1,600 lines of products, orders, coupons, content, campaigns). The executable half is entirely missing: no `registry.py`, no stage code, no purge, no command. - Add `registry.py`, `purge.py`, `chronology.py`, 13 stage modules under `stages/`, and the `seed_demo` management command. - Everything writes through real services, verified by resolving actual signatures — not assumptions. Key findings: `create_order` consumes a real **cart** (so orders are genuine checkouts via `cart.add_item`); `publish_product`'s gate dictates stage order (media → brands/categories/attributes → products); coupons need a **second** admin for maker-checker approval; brands and shipping config have no service layer, so their admin write path is the serializer. - Product SEO isn't a gap — `meta_title`/`meta_description` live on **Category** and CMS content, not Product. Dataset already matches the schema. - **Delete** the legacy `seed_demo_catalog` command: it bulk-inserts the same slugs/SKUs, hand-sets `units_sold`/`average_rating`/`review_count`, and forces `status=PUBLISHED` past the publish gate. - Idempotent via natural keys (slug/sku/email/code) plus the app's own order idempotency keys; per-stage atomicity so one failure can't roll back good data. - `--purge` touches only declared natural keys, and **aborts** rather than destroying immutable posted finance evidence unless `--force-finance` is passed. - One documented exception: a whitelisted backdating helper for `published_at`/`placed_at`, because analytics rollups and dashboards bucket by day. It never touches money, status, or derived aggregates. - Dev/test only, enforced by the existing fail-closed settings-module gate.40:o8b4,b8:T43e,I've collected all the function signatures and I'm noticing some complexity around address handling. There are multiple ways to save and create addresses across the identity and orders services, and I need to trace through the address model and serializer to understand what fields are actually required—particularly whether upazila is needed, since the dataset uses district/city/area/postal. I should check the CustomerAddress model and how `create_order` handles the shipping address parameters. Now I'm mapping out the key details I need to verify: the validation logic in `orders.create_address`, the fields in the product write serializer, shipping method and zone configurations, inventory adjustment reasons, coupon creation requirements, CMS item fields, notification event creation, analytics rollup behavior, wishlist-to-cart integration, media upload requirements, and product status/availability choices. Given the scope, I'll prioritize reading the serializers for catalog, shipping, and promotions, plus the relevant models for shipping and review moderation statuses.b9:T466,There are two separate address models at play here. `identity.CustomerAddress` represents the customer's saved address from their address book, created through the address service and requires coverage validation before being used in orders. Meanwhile, `orders.Address` is a snapshot of the address data specific to an order, created as a flat dictionary structure. The dataset's flat address dict aligns with the `orders.Address` model. The proper path for seeding data that appears correctly in both the Admin Panel and Frontend is to create `CustomerAddress` entries via the address service with proper validation and coverage evaluation, then pass the `customer_shipping_address_id` to `create_order`, which automatically snapshots it into `orders.Address`. This mirrors the genuine storefront checkout flow. However, this requires the geography data (Division/District/Upazila) to be synced first, and the coverage status must be `COVERED` or the order creation will fail. I need to examine the `sync_geography` command, coverage evaluation logic, and the validated data shape expected by the address service serializer.40:o1c6c4,48:["$","$L8f",null,{"params":{"chatId":"bc8ausuznsD"},"promises":{"attributes":"$@99","externalMeta":"$@9a","latest":"$@9b","messagesRange":"$@9c","messages":"$@9d","template":"$@9e","gitStatus":"$@9f"},"children":["$","$La0",null,{"chatId":"bc8ausuznsD","children":["$","$La1",null,{"seedOnlyKeys":["@\"chat:state\",\"bc8ausuznsD\","],"data":{"block:output:initial":{"id":"b_LOlfSDEDe0H","result":"$@a2"},"/chat/api/snapshots/proxy?chatId=bc8ausuznsD&messageId=qFNYdWkcTOQS24ZCaAuY2VwLHmuLynSz&v=v2":null,"@\"block:mappings\",\"bc8ausuznsD\",":{"sqlBlockExecutionStates":"$Qa3","blocksForkedFrom":"$Qa4","blocksTemplateIds":"$Qa5","blocksCreatedAt":"$Qa6","blocksShared":"$Qa7","blocksDeployed":"$Qa8","blocksSubdomains":"$Qa9","brandedBlocks":"$Qaa","unlistedBlocks":"$Qab","blockOutputs":"$Qac"},"@\"chat:state\",\"bc8ausuznsD\",":{"messages":[{"content":{"type":"parts","parts":[],"version":1},"role":"user","id":"dkoRY4Qr8mIwKz0nDIETkIBjaiF9DLOy","type":"message","isContentLoading":true,"authorId":"","createdAt":"$D2026-08-24T19:50:46.853Z"},{"content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"Loading..."]]]],[1,{"title":"Loading message"}]]},"loadingBlocks":[{"blockId":"gHBGPlkdbtY","type":"code-project","isVersioned":true}],"isContentLoading":true,"role":"assistant","id":"mINgCJdvG5qGWNyjbdA1i0mOmuiAl6Zg","streaming":false,"finishReason":"stop","parentId":"dkoRY4Qr8mIwKz0nDIETkIBjaiF9DLOy","type":"message"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"$ad"}],"version":1},"role":"user","id":"rb295ohdIGyiFWPnYiOMrfTLRHWfangb","attachments":[],"parentId":"mINgCJdvG5qGWNyjbdA1i0mOmuiAl6Zg","type":"message","authorId":"dlGbpYRDqaSwLWRXujaIyLt5","createdAt":"$D2026-08-06T15:45:23.622Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"I'll start by exploring the existing codebase to understand the architecture, models, and services before writing any seed logic."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031129521,"finishedAt":1786031131518,"lastPartSentAt":1786031131359,"taskNameActive":"Inspecting project","taskNameComplete":"Inspected project","toolCallId":"toolu_01CFC2Z7MfFG7HbiNCEXst5A","agentTurnId":"turn_lPeYjvQjMaDdF23p","filePath":null,"id":"2a1Ep36lNd9qQ4Ji","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && ls -la && cat package.json"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"4QtHDRhkVlHkQBP3"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 780\ndrwxr-xr-x 13 vercel-sandbox vercel-sandbox 4096 Aug 6 15:45 .\ndrwxr-xr-x 9 vercel-sandbox vercel-sandbox 328 Aug 6 15:45 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 258 Aug 6 15:45 .env.development.local\n-rw-r--r-- 1 ve\n\n...\n\n \"^4.3.3\",\n \"typescript\": \"5.7.3\",\n \"vitest\": \"^4.1.10\"\n },\n \"pnpm\": {\n \"overrides\": {\n \"next>sharp\": \"0.35.3\",\n \"next>postcss\": \"8.5.25\",\n \"brace-expansion@<2\": \"1.1.18\",\n \"brace-expansion@>=3\": \"5.0.9\"\n }\n }\n}\n"},"id":"u9WFkxV0qS04HCQb"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031130117,"finishedAt":1786031132300,"lastPartSentAt":1786031132151,"taskNameActive":"Listing files","taskNameComplete":"Listed files","toolCallId":"toolu_01PLKsGRw64GUfjU3PRzAPRz","agentTurnId":"turn_lPeYjvQjMaDdF23p","filePath":null,"id":"OD27Etotu8HaHs6S","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && find . -type d -name node_modules -prune -o -type f -print | head -200"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"JvzqWXgfJwvwxHKv"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"./.git/description\n./.git/hooks/applypatch-msg.sample\n./.git/hooks/commit-msg.sample\n./.git/hooks/fsmonitor-watchman.sample\n./.git/hooks/post-update.sample\n./.git/hooks/pre-applypatch.sample\n./.git/hooks/pre-commit.sample\n./.git/hooks/pre-merge-c\n\n...\n\n/backend/apps/catalog/apps.py\n./backend/apps/catalog/management/__init__.py\n./backend/apps/catalog/management/commands/__init__.py\n./backend/apps/catalog/management/commands/backfill_units_sold.py\n./backend/apps/catalog/migrations/0001_initial.py\n"},"id":"yapxisooq7jEo9uk"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-0","parts":[{"type":"thinking-end","duration":2.1058823529411765,"thought":"This is a Django backend + Next.js frontend project. There's a `backend/apps/` with many Django apps, each with models.py, services.py, serializers.py, tests/factories.py. I need to explore the backend structure thoroughly, look for existing seed/management commands, and understand the services layer.\n\nLet me read the key docs and explore the backend apps."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-0"}],["p",{},["text",{},"This is a Django + Next.js project. Let me explore the backend structure and existing conventions in depth."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031139886,"finishedAt":1786031142670,"lastPartSentAt":1786031142474,"taskNameActive":"Exploring backend","taskNameComplete":"Explored backend","toolCallId":"toolu_01Q1E9QrLR7JtdHbTLA33Jez","agentTurnId":"turn_F9jGuuIE8HL3r0TA","filePath":null,"id":"YdFC3hzQGzEsyw2d","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && ls -1 apps/ && echo \"--- MGMT COMMANDS ---\" && find . -path '*/management/commands/*.py' | sort && echo \"--- SEED FILES ---\" && find . -iname '*seed*' -o -iname '*fixture*' -o -iname '*factory*' | sort"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"NKZoRZhLlHiwyOPP"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"__init__.py\n__pycache__\naffiliates\nanalytics\ncart\ncatalog\ncms\ncore\ndeveloper_api\nfinance\nfraud\nidentity\ninventory\nmarketing\nmedia\nmerchandising\nnotifications\norders\npayments\npromotions\nrecommendations\nreferrals\nreturns\nreviews\nshared_kernel\nshipp\n\n...\n\nd_coupon_review.py\n./scripts/seed_developer_console.py\n./scripts/seed_e2e_storefront.py\n./scripts/seed_finance_review.py\n./scripts/seed_marketing_review.py\n./scripts/seed_notification_preview.py\n./scripts/seed_review_data.py\n./var/seed_invoice.py\n"},"id":"KKFscNyd3pxLC3h4"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"Xq3CcyrQzT8q4wR9-Gnjqcy0FQJ4yR3No","parts":[{"createdAt":1786031140569,"finishedAt":1786031141738,"lastPartSentAt":1786031141713,"taskNameActive":"Reading AI rules","taskNameComplete":"Read AI rules","toolCallId":"toolu_01VHE31yfyad6JF8sJ1obQd7","agentTurnId":"turn_F9jGuuIE8HL3r0TA","filePath":null,"id":"Xq3CcyrQzT8q4wR9","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/AI_RULES.md"}]},{"createdAt":1786031141092,"finishedAt":1786031141744,"lastPartSentAt":1786031141718,"taskNameActive":"Reading AI context","taskNameComplete":"Read AI context","toolCallId":"toolu_01Q85vbF9hVGpqwotzT96sM6","agentTurnId":"turn_F9jGuuIE8HL3r0TA","filePath":null,"id":"Gnjqcy0FQJ4yR3No","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/AI_CONTEXT.md"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"Xq3CcyrQzT8q4wR9-Gnjqcy0FQJ4yR3No"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-1","parts":[{"type":"thinking-end","duration":3.476470588235294,"thought":"This is a serious, mature project with strict architecture rules. Key facts:\n\n- Django modular monolith, one app per bounded context, Clean Architecture: domain → application (services) → infrastructure (adapters) → interface (DRF views)\n- ORM confined to infrastructure adapters behind repository interfaces\n- Must seed via services layer\n\nLet me check for existing management commands in the project (excluding .venv), and read the existing app structure for catalog, media, orders, etc.\n\nAlso per AI_RULES I must read PROJECT_PROGRESS.md, SESSION_SUMMARY.md, INDEX.md, and NEXT_TASK.json."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-1"}],["p",{},["text",{},"Strict architecture rules here. Let me follow the startup protocol and check for existing management commands."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031156775,"finishedAt":1786031159386,"lastPartSentAt":1786031159228,"taskNameActive":"Finding commands","taskNameComplete":"Found commands","toolCallId":"toolu_01UsueYwk9rdVJ3e5ZCm6FWg","agentTurnId":"turn_GnW7hMZLWDEHHM2T","filePath":null,"id":"rxXwXjuzYNex59zZ","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== MGMT COMMANDS (project) ===\" && find . -path ./.venv -prune -o -path '*/management/*' -print | sort && echo \"=== SEED/FACTORY (project) ===\" && find . -path ./.venv -prune -o \$ -iname '*seed*' -o -iname '*factor*' -o -iname '*fixture*' \$ -print | sort && echo \"=== TOP LEVEL ===\" && ls -1"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"Jy2XHmjBx0taf0mJ"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== MGMT COMMANDS (project) ===\n./apps/analytics/management/__init__.py\n./apps/analytics/management/__pycache__\n./apps/analytics/management/__pycache__/__init__.cpython-313.pyc\n./apps/analytics/management/commands\n./apps/analytics/management/comm\n\n...\n\non_preview.py\n./scripts/seed_review_data.py\n./var/seed_invoice.py\n=== TOP LEVEL ===\nDockerfile\nDockerfile.worker\napi\napps\nbuild.sh\nconfig\nmanage.py\nmedia\npyproject.toml\nrequirements\nrequirements.txt\nrun_with_env.py\nscripts\nuv.lock\nvar\nvercel.json\n"},"id":"xDjHXx9ymbF4MRle"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"RyDV7cfIoKhDzRgY-Ub20hJd2X5A5buQL","parts":[{"createdAt":1786031157483,"finishedAt":1786031158773,"lastPartSentAt":1786031158745,"taskNameActive":"Reading next task","taskNameComplete":"Read next task","toolCallId":"toolu_01KAMQKMYtEs1jG6bXkdPbsH","agentTurnId":"turn_GnW7hMZLWDEHHM2T","filePath":null,"id":"RyDV7cfIoKhDzRgY","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/NEXT_TASK.json"}]},{"createdAt":1786031158226,"finishedAt":1786031158846,"lastPartSentAt":1786031158813,"taskNameActive":"Reading index","taskNameComplete":"Read index","toolCallId":"toolu_01HJQFHPU7WuFDGakdphdgxM","agentTurnId":"turn_GnW7hMZLWDEHHM2T","filePath":null,"id":"Ub20hJd2X5A5buQL","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/INDEX.md"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"RyDV7cfIoKhDzRgY-Ub20hJd2X5A5buQL"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-2","parts":[{"type":"thinking-end","duration":1.7176470588235293,"thought":"Important discovery: there's already `backend/apps/core/seeding` directory! And `apps/shared_kernel/utils/seed_security.py` plus a test `test_seed_security.py`. Plus many existing seed commands. Let me look at `apps/core/seeding` — this may already be a seeding framework.\n\nLet me read those."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-2"}],["p",{},["text",{},"Key discovery — there's already an "],["code",{},"apps/core/seeding"],["text",{}," package and a "],["code",{},"seed_security"],["text",{}," utility. Let me examine the existing seeding infrastructure."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031167330,"finishedAt":1786031169542,"lastPartSentAt":1786031169277,"taskNameActive":"Listing seeding pkg","taskNameComplete":"Listed seeding pkg","toolCallId":"toolu_01Dgfvko8baXQkTgT8yi6LNE","agentTurnId":"turn_n9g0WIvjbZoCMCcD","filePath":null,"id":"5L3JtpbtlP7mY56O","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== apps/core/seeding ===\" && ls -la apps/core/seeding/ && echo \"=== apps/core tree ===\" && find apps/core -name '__pycache__' -prune -o -type f -name '*.py' -print | sort && echo \"=== wc of seeding files ===\" && wc -l apps/core/seeding/*.py 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"LedtmtHM4rPd55xC"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== apps/core/seeding ===\ntotal 64\ndrwxr-xr-x 2 vercel-sandbox vercel-sandbox 101 Aug 6 15:45 .\ndrwxr-xr-x 5 vercel-sandbox vercel-sandbox 155 Aug 6 15:45 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 1063 Aug 6 15:45 __init__.py\n-rw-r--r\n\n...\n\nurls.py\napps/core/views.py\n=== wc of seeding files ===\n 20 apps/core/seeding/__init__.py\n 744 apps/core/seeding/datasets.py\n 82 apps/core/seeding/profiles.py\n 250 apps/core/seeding/runtime.py\n 495 apps/core/seeding/scenarios.py\n 1591 total\n"},"id":"WO3mMNha8Hmu2XgO"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031168161,"finishedAt":1786031168623,"lastPartSentAt":1786031168592,"taskNameActive":"Reading seed security","taskNameComplete":"Read seed 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changes to 7 files","taskNameComplete":"Applied changes to 7 files","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Applying changes to 7 files","taskNameComplete":"Applied changes to 7 files"},"id":"block-b_LOlfSDEDe0H"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-3","parts":[{"type":"thinking-end","duration":1.7823529411764707,"thought":"There's a substantial existing seeding framework in apps/core/seeding: profiles.py, runtime.py, datasets.py, scenarios.py (1591 lines). This looks like exactly what the user is asking for might already largely exist. I need to read all of these to understand what's already there.\n\nLet me read them all."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-3"}],["p",{},["text",{},"There's already a 1,591-line seeding framework. I need to read it fully before deciding what to build."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"Jo9bdLNNz1q2JRXU-oS4fsKLjPbYDoL1j-uLxQPFA9WtgpwnOC","parts":[{"createdAt":1786031176316,"finishedAt":1786031179145,"lastPartSentAt":1786031179110,"taskNameActive":"Reading seeding init","taskNameComplete":"Read seeding init","toolCallId":"toolu_01Ghe4wJRz6eAQzVwFrH88TZ","agentTurnId":"turn_DnAigTtZufDBiezJ","filePath":null,"id":"Jo9bdLNNz1q2JRXU","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/__init__.py"}]},{"createdAt":1786031177214,"finishedAt":1786031179201,"lastPartSentAt":1786031179113,"taskNameActive":"Reading profiles","taskNameComplete":"Read profiles","toolCallId":"toolu_01WQcVLz5wmPRuFKRf54fX9u","agentTurnId":"turn_DnAigTtZufDBiezJ","filePath":null,"id":"oS4fsKLjPbYDoL1j","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/profiles.py"}]},{"createdAt":1786031178436,"finishedAt":1786031179328,"lastPartSentAt":1786031179282,"taskNameActive":"Reading runtime","taskNameComplete":"Read runtime","toolCallId":"toolu_01ALrGkj4HrQHFQSYcxvkXcG","agentTurnId":"turn_DnAigTtZufDBiezJ","filePath":null,"id":"uLxQPFA9WtgpwnOC","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/runtime.py"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 3 Files","taskNameComplete":"Explore • 3 Files"},"id":"Jo9bdLNNz1q2JRXU-oS4fsKLjPbYDoL1j-uLxQPFA9WtgpwnOC"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-4","parts":[{"type":"thinking-end","duration":3.5647058823529414,"thought":"So a previous session built most of this framework:\n\n- `__init__.py` docstring references `registry.py` for stage order and `seed_demo` management command — neither exists yet!\n- `profiles.py` — done (development + testing profiles)\n- `runtime.py` — done (guard, context, report)\n- `datasets.py` — 744 lines, need to read\n- `scenarios.py` — 495 lines, need to read\n\nMissing: `registry.py` and the `seed_demo` management command. So my task is to finish this: read datasets.py and scenarios.py, understand what's there, then build registry.py + management command.\n\nLet me read datasets.py and scenarios.py."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-4"}],["p",{},["text",{},"The package docstring references a "],["code",{},"registry.py"],["text",{}," and a "],["code",{},"seed_demo"],["text",{}," command — "],["strong",{},["text",{},"neither exists"]],["text",{},". So this framework is partially built. Let me read the remaining two files."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031187359,"finishedAt":1786031188587,"lastPartSentAt":null,"taskNameActive":"Reading datasets","taskNameComplete":"Read datasets","toolCallId":"toolu_01JEVc3uDKGSn1jUvvccJsUH","agentTurnId":"turn_JDhWECy83InjVCDN","filePath":null,"id":"LNy19r61CzcDAZhl","type":"task-read-file-v1","parts":[]}}],["p",{},["text",{},"Let me read the rest of the dataset and the scenarios file."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031193899,"finishedAt":1786031194589,"lastPartSentAt":1786031194564,"taskNameActive":"Reading datasets rest","taskNameComplete":"Read datasets rest","toolCallId":"toolu_01PwzqpK8L7uBeoSoLHaYzga","agentTurnId":"turn_meYbZf4nLVolsW3p","filePath":null,"id":"IjxwIkyIOkQzElF3","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py","offset":552,"limit":193}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-5","parts":[{"type":"thinking-end","duration":2.5647058823529414,"thought":"datasets.py covers media folders, brands, categories, attributes, products, shipping, warehouses, customers. But the profiles reference `datasets.ORDER_SCENARIOS` — which does NOT exist in datasets.py! It ends at CUSTOMERS (line 745). So ORDER_SCENARIOS is missing, plus coupons, banners, tags, reviews, content, marketing, notifications, taxes, payment methods.\n\nWait — maybe scenarios.py has ORDER_SCENARIOS. Let me read scenarios.py."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-5"}],["p",{},["code",{},"datasets.py"],["text",{}," ends at customers — but "],["code",{},"profiles.py"],["text",{}," references "],["code",{},"datasets.ORDER_SCENARIOS"],["text",{},", which doesn't exist there. Let me read "],["code",{},"scenarios.py"],["text",{},"."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031202038,"finishedAt":1786031202673,"lastPartSentAt":1786031202637,"taskNameActive":"Reading scenarios","taskNameComplete":"Read scenarios","toolCallId":"toolu_01PSR1L6SvfQWD79yKKgWV1b","agentTurnId":"turn_KFbZIadDbrFZkK7t","filePath":null,"id":"EosUlmUiy2NrIDHk","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/scenarios.py"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-6","parts":[{"type":"thinking-end","duration":8.3,"thought":"$ae"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-6"}],["p",{},["text",{},"Now I have the full picture. The "],["strong",{},["text",{},"data is fully declared"]],["text",{}," but the "],["strong",{},["text",{},"installer doesn't exist"]],["text",{}," — no "],["code",{},"registry.py"],["text",{},", no "],["code",{},"seed_demo"],["text",{}," command, no stage implementations. Let me map the real service signatures I must call."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031215685,"finishedAt":1786031217385,"lastPartSentAt":1786031217183,"taskNameActive":"Mapping services","taskNameComplete":"Mapped services","toolCallId":"toolu_01FvZjr5smvttwFLy7AUASJT","agentTurnId":"turn_PJYZm1jt29MR7x3r","filePath":null,"id":"JVPNLN0vTVEKXp7D","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && for app in media catalog inventory shipping identity; do echo \"=================== $app ===================\"; ls apps/$app/*.py 2>/dev/null; echo \"--- public defs in services*.py ---\"; for f in apps/$app/services*.py apps/$app/services/*.py; do [ -f \"$f\" ] && echo \"### $f\" && grep -n '^def \\|^class \\|^@dataclass' \"$f\"; done; done 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"oChsPmMh6GcfaiFo"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=================== media ===================\napps/media/__init__.py\napps/media/admin_urls.py\napps/media/apps.py\napps/media/imaging.py\napps/media/models.py\napps/media/scanning.py\napps/media/serializers.py\napps/media/services.py\napps/media/storage.py\n"},"id":"4RZIWGDucDjKlQ14"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"apps/media/tasks.py\napps/media/urls.py\napps/media/validation.py\napps/media/views.py\n--- public defs in services*.py ---\n#\n\n...\n\ndef logout_user(request: HttpRequest, user: User) -> None:\n163:def change_user_password(\n220:def update_customer_profile(\n"},"id":"Im45gWd1gq2hLHTt"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031222316,"finishedAt":1786031223212,"lastPartSentAt":1786031223181,"taskNameActive":"Reading service map","taskNameComplete":"Read service map","toolCallId":"toolu_01XPmLHJPSLmSwjdRk94rQNs","agentTurnId":"turn_1VQGbSE5WP6R7wO7","filePath":null,"id":"qHdUfauyEIns69Gl","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/mapping-services-task-gb-ch.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/mapping-services-task-gb-ch.txt","offset":73,"limit":79}]}}],["p",{},["text",{},"Now the remaining service modules — orders, payments, promotions, cart, cms, marketing, reviews, notifications, finance, analytics."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031229378,"finishedAt":1786031233338,"lastPartSentAt":1786031233116,"taskNameActive":"Mapping more services","taskNameComplete":"Mapped more services","toolCallId":"toolu_018Ztgx2zYEktP584qXLgiHb","agentTurnId":"turn_W8xtDCw9EpVzFeX5","filePath":null,"id":"udBIQzaEhtpJi7Mm","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && for app in orders payments promotions cart; do echo \"=================== $app ===================\"; for f in apps/$app/*services*.py; do [ -f \"$f\" ] && echo \"### $f\" && grep -n '^def \\|^class ' \"$f\"; done; done 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"vq0LbRSffUzO130K"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=================== orders ===================\n### apps/orders/services.py\n46:def transition_order_status(\n164:def cancel_customer_order(*, order_id, customer, reason: str = \"\") -> Order:\n178:def reorder_customer_order(*, order_id, customer) -> dict:"},"id":"qPUG6UGE6C5jVHOa"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\n239:def create_address(*, customer, data: dict) -> Address:\n243:def get_address(*, customer, address_id) -> Address:\n250\n\n...\n\n:def wishlist_count(customer) -> int:\n334:def move_wishlist_item_to_cart(request, *, item_id, quantity: int = 1) -> Cart:\n"},"id":"JgvnH6QM7hhdKg0C"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031230357,"finishedAt":1786031234188,"lastPartSentAt":1786031234007,"taskNameActive":"Mapping content services","taskNameComplete":"Mapped content services","toolCallId":"toolu_01XYePYso7t67cpxH4c8MJ6t","agentTurnId":"turn_W8xtDCw9EpVzFeX5","filePath":null,"id":"PFCW6D4cOI7hNaTg","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && for app in cms marketing reviews notifications finance analytics merchandising; do echo \"=================== $app ===================\"; for f in apps/$app/*services*.py; do [ -f \"$f\" ] && echo \"### $f\" && grep -n '^def \\|^class ' \"$f\"; done; done 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"VpM9GTKv0z5NwAWZ"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=================== cms ===================\n### apps/cms/services.py\n16:def _audit(\n40:def get_item(item_id) -> ContentItem:\n47:def get_version(item: ContentItem, version_number: int | None = None) -> ContentVersion:\n58:def _set_version(version, **va"},"id":"BudFQJiZYFn8fCaR"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"lues):\n64:def _assert_publishable(item, version):\n88:def create_item(data: dict, actor) -> ContentItem:\n106:def update_it\n\n...\n\net_pinned_products(section: StorefrontSection, product_ids: list) -> None:\n289:def reorder_sections(order: list) -> None:\n"},"id":"SbGPYAP0fE0zO3lp"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"NwNIKtLjvh7tIXWo-vxjVlBT9FVJWYyoE","parts":[{"createdAt":1786031238578,"finishedAt":1786031240878,"lastPartSentAt":1786031240840,"taskNameActive":"Reading content svc map","taskNameComplete":"Read content svc map","toolCallId":"toolu_01LFYp5FcUjHe3H8yyBwZHg8","agentTurnId":"turn_gkqwnwlTc2q3B9j7","filePath":null,"id":"NwNIKtLjvh7tIXWo","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/mapping-content-services-task-uv-r9.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/mapping-content-services-task-uv-r9.txt","offset":69,"limit":55}]},{"createdAt":1786031239360,"finishedAt":1786031240957,"lastPartSentAt":1786031240907,"taskNameActive":"Reading cart svc map","taskNameComplete":"Read cart svc map","toolCallId":"toolu_011nqSwmoSvMKr8AVsVuAuLX","agentTurnId":"turn_gkqwnwlTc2q3B9j7","filePath":null,"id":"vxjVlBT9FVJWYyoE","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/mapping-more-services-task-dq-bw.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/mapping-more-services-task-dq-bw.txt","offset":71,"limit":5}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"NwNIKtLjvh7tIXWo-vxjVlBT9FVJWYyoE"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-7","parts":[{"type":"thinking-end","duration":3.6294117647058823,"thought":"I now have a good map of service functions. This is a very large task. Let me now check the existing seed commands to understand the established conventions (seed_demo_catalog.py is most relevant — it may already do much of this).\n\nLet me read the existing `seed_demo_catalog.py` and `seed_users.py` to match conventions, plus check the key service signatures in detail for the ones I'll call most (catalog.create_product, orders.create_order, media.upload_asset).\n\nGiven the scale, I should present a plan to the user. But first let me gather enough to make the plan concrete. Let me read the existing seed commands."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-7"}],["p",{},["text",{},"Let me examine existing seed commands for conventions, and the detailed signatures of the core services I'll call."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031249126,"finishedAt":1786031251306,"lastPartSentAt":1786031251255,"taskNameActive":"Reading demo catalog seed","taskNameComplete":"Read demo catalog seed","toolCallId":"toolu_01GyR425FUadbpfLYLP8S4Qb","agentTurnId":"turn_9pJT9gblsL85SQ2N","filePath":null,"id":"MHutin3Z6o6PGRY3","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/merchandising/management/commands/seed_demo_catalog.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031250308,"finishedAt":1786031251968,"lastPartSentAt":1786031251776,"taskNameActive":"Checking seed cmd sizes","taskNameComplete":"Checked seed cmd sizes","toolCallId":"toolu_018i3ree7LPdjqXqaa5wvfR9","agentTurnId":"turn_9pJT9gblsL85SQ2N","filePath":null,"id":"Kq8ZEI2fAMR3NOru","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && wc -l apps/*/management/commands/seed_*.py scripts/seed_*.py && echo \"=== settings ===\" && ls config/settings/ && echo \"=== pyproject scripts/deps ===\" && sed -n '1,80p' pyproject.toml"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"q9Jp1XIB01myzw89"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" 457 apps/cms/management/commands/seed_footer_pages.py\n 78 apps/identity/management/commands/seed_users.py\n 106 apps/media/management/commands/seed_branding.py\n 200 apps/merchandising/management/commands/seed_demo_catalog.py\n 338 apps/\n\n...\n\nthe API, and clean/save ordering preserves validation flow.\n\"apps/catalog/models.py\" = [\"DJ008\", \"DJ012\"]\n# Promotions declares dual managers (live + all_objects) after fields; the ordering mirrors catalog.\n\"apps/promotions/models.py\" = [\"DJ012\"]\n"},"id":"ZbRWJ6CbbnKA4hFg"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-8","parts":[{"type":"thinking-end","duration":8.9,"thought":"$af"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-8"}],["p",{},["text",{},"Critical finding: the existing "],["code",{},"seed_demo_catalog.py"],["text",{}," is exactly the anti-pattern to avoid — it bulk-inserts via ORM and hand-sets derived columns ("],["code",{},"units_sold"],["text",{},", "],["code",{},"average_rating"],["text",{},", "],["code",{},"review_count"],["text",{},") and forces "],["code",{},"status = PUBLISHED"],["text",{},", bypassing "],["code",{},"publish_product"],["text",{},". The new framework exists to replace that. Let me verify the real service signatures I must write against."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"jmyWRUHAF3zxgGkX-efK0UxZo1wbyxezB","parts":[{"createdAt":1786031266651,"finishedAt":1786031268154,"lastPartSentAt":1786031268088,"taskNameActive":"Reading catalog services","taskNameComplete":"Read catalog services","toolCallId":"toolu_016uNQMReuJQyXejPkmo3H7D","agentTurnId":"turn_0kCr4DcZUHVgmNep","filePath":null,"id":"jmyWRUHAF3zxgGkX","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/services.py","offset":359,"limit":160}]},{"createdAt":1786031267268,"finishedAt":1786031268285,"lastPartSentAt":1786031268265,"taskNameActive":"Reading order create","taskNameComplete":"Read order create","toolCallId":"toolu_01RrepVNj5gZU28V8twdYUwC","agentTurnId":"turn_0kCr4DcZUHVgmNep","filePath":null,"id":"efK0UxZo1wbyxezB","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":476,"limit":130}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"jmyWRUHAF3zxgGkX-efK0UxZo1wbyxezB"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-9","parts":[{"type":"thinking-end","duration":6.411764705882353,"thought":"$b0"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-9"}],["p",{},["text",{},"Let me verify the remaining pieces — media upload, shipping config, taxes/payment methods, and addresses."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031282461,"finishedAt":1786031285637,"lastPartSentAt":1786031285586,"taskNameActive":"Reading media upload","taskNameComplete":"Read media upload","toolCallId":"toolu_01WhWzhJb3qxp8sJT8bWbPSM","agentTurnId":"turn_snQvuSsN4zKb0b5g","filePath":null,"id":"g6EczYdp9EVUJByD","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/media/services.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/media/services.py","offset":299,"limit":100}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031284389,"finishedAt":1786031286165,"lastPartSentAt":1786031285985,"taskNameActive":"Checking shipping/finance","taskNameComplete":"Checked shipping/finance","toolCallId":"toolu_01GtgdWdh2Tws1GGkEJPz9RQ","agentTurnId":"turn_snQvuSsN4zKb0b5g","filePath":null,"id":"HIRRfgJ7UId2Mz5z","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== shipping models ===\" && grep -n '^class ' apps/shipping/models.py && echo \"=== finance files ===\" && ls apps/finance/ && echo \"=== finance models ===\" && grep -n '^class ' apps/finance/models.py 2>/dev/null && echo \"=== tax bootstrap ===\" && grep -rn 'TaxRate\\|tax_calculator\\|def quote' apps/finance/*.py | head -30"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"6QxIKLKoiDcE0vFa"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== shipping models ===\n11:class ShippingMethod(models.Model):\n31:class ShippingZone(models.Model):\n61:class ShippingRate(models.Model):\n84:class Shipment(models.Model):\n134:class CourierSyncAttempt(models.Model):\n157:class TrackingEvent(models.M\n\n...\n\nTaxRate, TaxRule\napps/finance/tax.py:233: def _rate_is_current(self, rate: TaxRate) -> bool:\napps/finance/tax.py:242: ) -> tuple[TaxRule, TaxRate] | None:\napps/finance/tax.py:287: def quote(\napps/finance/tax.py:411:def quote_for_amounts(\n"},"id":"o0FXfDg5UMuhFtXB"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-10","parts":[{"type":"thinking-end","duration":1.2588235294117647,"thought":"Good. `finance/bootstrap.py` has `ensure_default_tax_policy` — an existing idempotent bootstrap. Let me check its full public API and check identity address_services + payments initiate. Then I'll present the plan."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-10"}],["p",{},["text",{},"I have enough to plan. Let me confirm the finance bootstrap API and address services, then present the approach."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031295745,"finishedAt":1786031297407,"lastPartSentAt":1786031297183,"taskNameActive":"Checking bootstrap/addr","taskNameComplete":"Checked bootstrap/addr","toolCallId":"toolu_01GsAbYtvcnLMwnwbxYTr1P4","agentTurnId":"turn_8y2FQv8I4DyDFmA8","filePath":null,"id":"DHD6UEkxOKWQIJMK","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== finance/bootstrap.py defs ===\" && grep -n '^def \\|^class ' apps/finance/bootstrap.py && echo \"=== identity/address_services.py defs ===\" && grep -n '^def \\|^class ' apps/identity/address_services.py && echo \"=== payments initiate sig ===\" && sed -n '361,400p' apps/payments/services.py && echo \"=== analytics rollup cmd ===\" && grep -n 'def \\|add_argument' apps/analytics/management/commands/roll_up_analytics.py | head -20"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"iTmaCEMQktwh7kRq"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== finance/bootstrap.py defs ===\n32:def _setting(name: str, default: Any) -> Any:\n37:def ensure_chart_of_accounts(company: Company) -> int:\n71:def ensure_default_tax_policy(company: Company) -> TaxRate:\n132:def period_code(on: dt.date) -> str:\n136:d"},"id":"Zb0981VcFWOkI4Sg"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ef period_bounds(on: dt.date) -> tuple[dt.date, dt.date]:\n150:def ensure_period(company: Company, on: dt.date) -> FiscalP\n\n...\n\nandle(self, *args, **options) -> None:\n90: def _resolve_window(self, options: dict) -> tuple[dt.date | None, dt.date]:\n"},"id":"jYfKVUnNqQxjh8KL"}]}}],["p",{},["text",{},"I now have a complete picture of the system. Let me enter plan mode to get your sign-off before writing a build of this size."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031301382,"finishedAt":1786031301961,"lastPartSentAt":1786031301887,"taskNameActive":"Planning seed installer","taskNameComplete":"Planned seed installer","toolCallId":"toolu_01WHSnJu5ABd3tDnHii9FTdh","agentTurnId":"turn_Oez8G5aicgDI7BqZ","filePath":null,"id":"R8zxkNEPYd7TQ5Ni","type":"task-enter-plan-mode-v1","parts":[{"type":"entering-plan-mode"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-11","parts":[{"type":"thinking-end","duration":5.905882352941177,"thought":"Now in plan mode. Let me ask clarifying questions on the real decisions, since the direction is largely pinned by the existing design but there are genuine trade-offs.\n\nKey decisions to ask about:\n\n- The media library requirement: \"Images and media should come from the Media Library\". The existing `datasets.py` product images point at paths like `catalog/tee-ess/primary.png` and `products/nova-aura-headphones.png` — these are files in the Next.js `public/` dir. To truly ingest into the Media Library via `media.upload_asset`, I need real binary bytes. Options: (a) ingest from the existing Next.js public/ PNG files, (b) generate synthetic PNGs. Let me check whether those public files exist.\n- What to do about legacy `seed_demo_catalog` and the other overlapping seed scripts — deprecate/delete or leave?\n- Scope: this is huge. Should I build it all in one pass, or stage it?\n\nLet me first verify the public images exist, and check ORDER_SCENARIOS mismatch, and MEDIA_SCAN_REQUIRED setting in dev."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-11"}],["p",{},["text",{},"Let me verify a few implementation-critical facts before finalizing the plan."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031314815,"finishedAt":1786031319258,"lastPartSentAt":1786031319027,"taskNameActive":"Checking image assets","taskNameComplete":"Checked image assets","toolCallId":"toolu_01ECGpmNAoWLFggvYUMAqUZ6","agentTurnId":"turn_YVuYZtOMGezV1N9D","filePath":null,"id":"xPuMjHtMBKE2kY6q","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && echo \"=== public/catalog ===\" && ls public/catalog/ 2>/dev/null | head && echo \"=== public/products ===\" && ls public/products/ 2>/dev/null | head -20 && echo \"=== counts ===\" && find public -name '*.png' -o -name '*.jpg' | wc -l && echo \"=== sample sizes ===\" && find public -name '*.png' | head -5 | xargs ls -la 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"qiXnty7nf56RBwTI"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== public/catalog ===\nbag-wkd\nbtl-750\njkt-rain\nknt-hbr\nsock-crw\ntee-ess\ntrs-mrd\nvas-lmn\n=== public/products ===\nlumen-desk-lamp.png\nlumen-smart-bulb.png\nnova-aura-headphones.png\nnova-pulse-earbuds.png\nnova-studio-monitor.png\norbit-fitness-watch.\n\n...\n\n636 Aug 6 15:45 public/brand/northstar-mark.png\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 1254753 Aug 6 15:45 public/catalog/bag-wkd/primary.png\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 537874 Aug 6 15:45 public/catalog/btl-750/primary.png\n"},"id":"Q1cozGLI8kCKpvO7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031316507,"finishedAt":1786031318364,"lastPartSentAt":1786031318160,"taskNameActive":"Checking dev settings","taskNameComplete":"Checked dev settings","toolCallId":"toolu_01UQFPQEUFVMTqDc3BtHdR56","agentTurnId":"turn_YVuYZtOMGezV1N9D","filePath":null,"id":"ice4OggW1jErod5J","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== MEDIA_SCAN_REQUIRED ===\" && grep -rn 'MEDIA_SCAN_REQUIRED' config/settings/ && echo \"=== dev.py ===\" && cat config/settings/dev.py && echo \"=== CART_CURRENCY / SEED settings ===\" && grep -rn 'CART_CURRENCY\\|SEED_DEMO' config/settings/ | head"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"3dYdEdmMwMBI5tM9"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== MEDIA_SCAN_REQUIRED ===\nconfig/settings/base.py:298:MEDIA_SCAN_REQUIRED = env.bool(\"MEDIA_SCAN_REQUIRED\", default=False)\nconfig/settings/prod.py:61:if not MEDIA_SCAN_REQUIRED or not CLAMAV_HOST:\n=== dev.py ===\n\"\"\"Local development settings.\"\"\"\n\nf"},"id":"8JYu1M2mcMRb4cmy"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"rom .base import * # noqa: F401,F403\nfrom .base import env\n\nDEBUG = True\nALLOWED_HOSTS = [\"*\"]\n\n# Browsable API is conve\n\n...\n\ne__/base.cpython-313.pyc: binary file matches\ngrep: config/settings/__pycache__/base.cpython-313.pyc: binary file matches\n"},"id":"EWyzEjXAAl4U59WE"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-12","parts":[{"type":"thinking-end","duration":14.841176470588236,"thought":"$b1"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-12"}],["p",{},["text",{},"All 16 product images exist at the exact paths "],["code",{},"datasets.py"],["text",{}," references, so the Media Library stage can ingest real bytes. Let me check one last risk — whether seeding a \"sent\" campaign would attempt real provider sends."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031338823,"finishedAt":1786031340491,"lastPartSentAt":1786031340267,"taskNameActive":"Checking campaign send","taskNameComplete":"Checked campaign send","toolCallId":"toolu_01TuW8xSnP6xCx5XX9X91ZiM","agentTurnId":"turn_1sV5LJW9vDHaqIfw","filePath":null,"id":"ma3PI9U2wUCKXzla","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && sed -n '561,600p' apps/marketing/services.py && echo \"=== providers/dispatch ===\" && grep -rn 'console\\|dummy\\|noop\\|MARKETING_.*PROVIDER\\|def dispatch' apps/marketing/dispatch.py apps/marketing/providers*.py 2>/dev/null | head -20 && ls apps/marketing/"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"xYEC1ZhQX2qhaeeK"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"def send_campaign(\n campaign: Campaign, *, actor=None, request=None\n) -> campaign_service.ReleaseReport:\n \"\"\"Release now. The audit event is written whether or not anybody was reached.\"\"\"\n try:\n report = campaign_service.release(campa"},"id":"PAYA10ykvZei9qKG"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ign, actor=actor)\n except campaign_service.CampaignError as exc:\n raise _campaign_error(exc) from exc\n recor\n\n...\n\ny\nrendering.py\nsegments.py\nselectors.py\nserializers.py\nservices.py\nsignals.py\ntasks.py\ntests\ntracking.py\nurls.py\nviews.py\n"},"id":"NOrKbR8izhTnYYQ6"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-13","parts":[{"type":"thinking-end","duration":2.4941176470588236,"thought":"`send_campaign` → `campaign_service.release()` which queues delivery jobs (report.created = queued). It does not dispatch synchronously — dispatch happens via `process_marketing_messages` command / Celery. So seeding a \"sent\" campaign just enqueues messages; nothing leaves the box unless the drain command runs. Safe. Good — I'll note that the seed queues but does not drain.\n\nNow let me ask the user the genuine decisions."}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-13"}],["p",{},["code",{},"send_campaign"],["text",{}," only "],["em",{},["text",{},"queues"]],["text",{}," delivery jobs — dispatch requires the separate "],["code",{},"process_marketing_messages"],["text",{}," drain, so nothing leaves the machine. Now let me confirm a few decisions with you."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031363115,"finishedAt":1786031364158,"stopped":{"reason":"user-input-required"},"lastPartSentAt":1786031364071,"taskNameActive":"Confirming decisions","taskNameComplete":"Confirmed decisions","toolCallId":"toolu_015hquknQJ3Mdq6YXWW3DvWg","agentTurnId":"turn_ibnKfds5AQ38gnI1","filePath":null,"id":"tIdIDRoSbtmoj4rM","type":"task-ask-user-questions-v1","parts":[{"type":"asking-questions","questions":[{"id":"q-0","question":"Your codebase already has `apps/core/seeding/` with the dataset fully declared (products, orders, coupons, content, campaigns, reviews) but no installer — no `registry.py`, no `seed_demo` command, no stage code. Should I complete that framework?","header":"Approach","options":[{"id":"q-0-opt-0","label":"Complete the existing framework (Recommended)","description":"Write registry.py, the per-stage service-call installers, and the seed_demo command on top of the datasets.py/scenarios.py/profiles.py/runtime.py that already exist. Honours the design a previous session committed to."},{"id":"q-0-opt-1","label":"Rewrite seeding from scratch","description":"Discard the existing seeding package and design a new one. Throws away ~1,600 lines of already-reviewed declarative data."}],"multiSelect":false},{"id":"q-1","question":"The legacy `seed_demo_catalog` command writes the SAME product slugs/SKUs via raw ORM inserts, hand-sets derived columns (`units_sold`, `average_rating`, `review_count`) and forces `status=PUBLISHED`, bypassing `publish_product`. It will collide with the new seed. What should happen to it?","header":"Legacy seeder","options":[{"id":"q-1-opt-0","label":"Delete it; seed_demo becomes authoritative (Recommended)","description":"Removes the anti-pattern and the slug collision. seed_demo covers everything it did, but through real services."},{"id":"q-1-opt-1","label":"Keep it, but make seed_demo detect and adopt its rows","description":"No deletion. seed_demo reuses existing rows where slugs match, but hand-set derived columns would remain wrong/unearned."},{"id":"q-1-opt-2","label":"Leave both fully independent","description":"Risk: running both produces duplicate-slug errors or half-legitimate products."}],"multiSelect":false},{"id":"q-2","question":"How should the destructive side of \"enabled, disabled, or regenerated with a single command\" work?","header":"Purge scope","options":[{"id":"q-2-opt-0","label":"Purge only seed-owned natural keys (Recommended)","description":"`--purge` and `--regenerate` delete only the exact slugs/SKUs/emails/codes declared in the dataset, never anything else. Safe to run on a database that also has hand-made data."},{"id":"q-2-opt-1","label":"Purge all commerce tables","description":"Simpler and more thorough, but destroys any manual test data a developer created alongside the seed."}],"multiSelect":false},{"id":"q-3","question":"Immutable finance records (posted journal entries, invoices, payment receipts) cannot be deleted by design — `ImmutableModel`. How should `--purge` handle a seeded order that already produced them?","header":"Immutable rows","options":[{"id":"q-3-opt-0","label":"Refuse to purge unless --force-finance is passed (Recommended)","description":"Purge reports which orders carry posted financial evidence and stops. Preserves the audit guarantee; --force-finance is an explicit dev-only override."},{"id":"q-3-opt-1","label":"Always cascade and delete the finance rows","description":"Fastest to reset, but silently breaks the append-only evidence invariant the architecture treats as non-negotiable."},{"id":"q-3-opt-2","label":"Leave finance rows orphaned","description":"Purge removes orders but leaves journal entries and invoices behind, which would corrupt finance reports."}],"multiSelect":false}]}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"p1dTVPiXwr2gJgig7ZReCb6xGCmgSibh","gitRevision":{"baseSha":"47a41bb1cad91e84cd95569f4aec98894e49fcbf","headSha":"abae38aee48afad5933f0620122959bdfad5e4da","readyAt":"2026-08-06T15:49:28.466Z","version":1},"streaming":false,"finishReason":"tool-calls","parentId":"rb295ohdIGyiFWPnYiOMrfTLRHWfangb","type":"message","creditCost":2.5010495,"workMetrics":{"diffMap":{},"linesRead":2098,"agentActions":35},"createdAt":"$D2026-08-06T15:45:23.623Z","updatedAt":"$D2026-08-06T15:49:28.481Z"},{"content":{"type":"parts","parts":[{"type":"answered-questions","answers":[{"questionId":"q-0","questionText":"Your codebase already has `apps/core/seeding/` with the dataset fully declared (products, orders, coupons, content, campaigns, reviews) but no installer — no `registry.py`, no `seed_demo` command, no stage code. Should I complete that framework?","selectedLabels":["Complete the existing framework (Recommended)"]},{"questionId":"q-1","questionText":"The legacy `seed_demo_catalog` command writes the SAME product slugs/SKUs via raw ORM inserts, hand-sets derived columns (`units_sold`, `average_rating`, `review_count`) and forces `status=PUBLISHED`, bypassing `publish_product`. It will collide with the new seed. What should happen to it?","selectedLabels":["Delete it; seed_demo becomes authoritative (Recommended)"]},{"questionId":"q-2","questionText":"How should the destructive side of \"enabled, disabled, or regenerated with a single command\" work?","selectedLabels":["Purge only seed-owned natural keys (Recommended)"]},{"questionId":"q-3","questionText":"Immutable finance records (posted journal entries, invoices, payment receipts) cannot be deleted by design — `ImmutableModel`. How should `--purge` handle a seeded order that already produced them?","selectedLabels":["Refuse to purge unless --force-finance is passed (Recommended)"]}]}],"version":1},"role":"user","id":"r4k41dylCWRYMfjyyx4o4Le9cev81jiH","attachments":[],"parentId":"p1dTVPiXwr2gJgig7ZReCb6xGCmgSibh","type":"answered-questions","authorId":"dlGbpYRDqaSwLWRXujaIyLt5","createdAt":"$D2026-08-06T15:50:14.376Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1786031420821,"finishedAt":1786031421686,"lastPartSentAt":1786031421686,"taskNameActive":null,"id":"9UOJQ7SYcAILsfoL","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I need to revisit the core files to get the exact signatures and structure details I need for an accurate plan—particularly the seeding package and key service interfaces."}]}}],["p",{},["text",{},"All four decisions confirmed. Let me re-verify the exact contracts I need to write against, since those file contents were trimmed from my context."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"LPSJ8MulhlhaEink-C9RrnCwBsFssO5UO","parts":[{"createdAt":1786031421882,"finishedAt":1786031423947,"lastPartSentAt":1786031423921,"taskNameActive":"Re-reading profiles","taskNameComplete":"Re-read profiles","toolCallId":"toolu_01SKxvZXwiywsW3wwr8XQiNV","agentTurnId":"turn_oN3IrRIBneoZka9J","filePath":null,"id":"LPSJ8MulhlhaEink","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/profiles.py"}]},{"createdAt":1786031422849,"finishedAt":1786031423911,"lastPartSentAt":1786031423887,"taskNameActive":"Re-reading runtime","taskNameComplete":"Re-read runtime","toolCallId":"toolu_01TnBjK2jBZL5zLZGrRYV8tY","agentTurnId":"turn_oN3IrRIBneoZka9J","filePath":null,"id":"C9RrnCwBsFssO5UO","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/runtime.py"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"LPSJ8MulhlhaEink-C9RrnCwBsFssO5UO"}],["AssistantMessageContentPart",{"part":{"createdAt":1786031428786,"finishedAt":1786031429118,"lastPartSentAt":1786031429118,"taskNameActive":null,"id":"U92vuigx7pYGQGAx","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm reviewing the structure of datasets.py and scenarios.py to understand what constants they export, then checking the __init__.py docstring to see how the registry API is intended to work, along with examining the key service signatures."}]}}],["p",{},["text",{},"Now let me re-confirm the dataset's exported symbols and the intended registry API."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031430571,"finishedAt":1786031432174,"lastPartSentAt":1786031432014,"taskNameActive":"Listing dataset symbols","taskNameComplete":"Listed dataset symbols","toolCallId":"toolu_01M2ptpXqjNMKoZWTADC8Qj8","agentTurnId":"turn_yBHhGbkpMBajzBQr","filePath":null,"id":"94W6N01g5cuNTJS3","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend/apps/core/seeding && echo \"=== datasets.py top-level constants ===\" && grep -n '^[A-Z_]* *[:=]\\|^def \\|^class ' datasets.py && echo && echo \"=== scenarios.py top-level ===\" && grep -n '^[A-Z_]* *[:=]\\|^def \\|^class ' scenarios.py && echo && echo \"=== __init__.py ===\" && cat __init__.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"qAsHFRMfujPss4Hl"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== datasets.py top-level constants ===\n23:MEDIA_FOLDERS: tuple[tuple[str, str, str | None], ...] = (\n34:BRANDS: tuple[tuple[str, str], ...] = (\n42:CATEGORIES: tuple[tuple[str, str, str | None, str, str, str, bool], ...] = (\n119:PRODUCT_ATTRIBUTES: t"},"id":"QJCPoO6FrE6Ux2mc"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"uple[tuple[str, str, str, bool], ...] = (\n127:class P:\n200:PRODUCTS: tuple[P, ...] = (\n522:SHIPPING_METHODS: tuple[tuple[\n\n...\n\nom .runtime import SeedContext, SeedGuardError, seed_allowed\n\n__all__ = [\"SeedContext\", \"SeedGuardError\", \"seed_allowed\"]\n"},"id":"Oaf6JH6oPe10oa2I"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031435762,"finishedAt":1786031435831,"lastPartSentAt":1786031435831,"taskNameActive":null,"id":"5DHnkS6OwhTTaWLF","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to examine the field definitions for those dataclasses to understand what data each processing stage expects to work with."}]}}],["p",{},["text",{},"Let me read the dataclass shapes the stages must consume."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"UGG0cx3RB5cqtYL7-UdTRjx6h6NwZD5wq","parts":[{"createdAt":1786031437008,"finishedAt":1786031439069,"lastPartSentAt":1786031439049,"taskNameActive":"Reading P and C shapes","taskNameComplete":"Read P and C shapes","toolCallId":"toolu_01Bn96G5V9sSp5Wnzt79w1RG","agentTurnId":"turn_JPSsPpKAOruBisK7","filePath":null,"id":"UGG0cx3RB5cqtYL7","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py","offset":118,"limit":82}]},{"createdAt":1786031438076,"finishedAt":1786031438813,"lastPartSentAt":1786031438790,"taskNameActive":"Reading O and K shapes","taskNameComplete":"Read O and K shapes","toolCallId":"toolu_011XHRKyd85vPxBgtxDEoc64","agentTurnId":"turn_JPSsPpKAOruBisK7","filePath":null,"id":"UdTRjx6h6NwZD5wq","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/scenarios.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/scenarios.py","offset":18,"limit":76}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"UGG0cx3RB5cqtYL7-UdTRjx6h6NwZD5wq"}],["AssistantMessageContentPart",{"part":{"createdAt":1786031443148,"finishedAt":1786031443222,"lastPartSentAt":1786031443222,"taskNameActive":null,"id":"pEiiks2QAn0tg9wP","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to extract the exact service method signatures using grep to get the full function definitions from the service modules."}]}}],["p",{},["text",{},"Now the precise service signatures the stages must call. Let me extract them exactly."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031449544,"finishedAt":1786031451122,"lastPartSentAt":1786031450953,"taskNameActive":"Extracting signatures","taskNameComplete":"Extracted signatures","toolCallId":"toolu_017akNQdrYJWGxtxyvHtfCoF","agentTurnId":"turn_bHHzHIYgAdjeesGj","filePath":null,"id":"IHAcFvwCeEpRVpgt","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"$b2"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"6EKhkV6lqGHwsrne"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== apps/media/services.py ===\n create_folder*, name: str, parent_id=None, actor=None\n upload_assetupload, *, actor=None, folder_id=None, title: str='', alt_text: str='', caption: str='', tags: Any=None, is_public: bool=True, requested_kind: str | "},"id":"KbRSPvfnLVQbg78R"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"None=None\n [not found: attach_asset]\n [not found: ingest_local_file]\n=== apps/catalog/services.py ===\n create_category\n\n...\n\n: str, note: str=''\n [not found: approve_review]\n=== apps/identity/address_services.py ===\n [not found: create_address]\n"},"id":"EI84K4rOy3zCQGLy"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031454632,"finishedAt":1786031454832,"lastPartSentAt":1786031454832,"taskNameActive":null,"id":"iEIHHoDh4J941xLD","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to inspect the actual public functions available in those modules rather than guessing at their names."}]}}],["p",{},["text",{},"Several of my assumed names don't exist. Let me enumerate the real public functions in each module."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031458355,"finishedAt":1786031460401,"lastPartSentAt":1786031459920,"taskNameActive":"Listing all functions","taskNameComplete":"Listed all functions","toolCallId":"toolu_01FW19vjob9Wm5UwNarafesk","agentTurnId":"turn_eBgigoUModWpmY3G","filePath":null,"id":"9ePKuYNsp8AB7WzL","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && python3 - <<'PY'\nimport ast, pathlib, glob\npaths = [\"apps/catalog/services.py\",\"apps/shipping/services.py\",\"apps/reviews/services.py\",\"apps/payments/services.py\",\"apps/inventory/services.py\"]\npaths += glob.glob(\"apps/identity/*services*.py\") + glob.glob(\"apps/catalog/*services*.py\") + glob.glob(\"apps/shipping/*.py\") + glob.glob(\"apps/finance/bootstrap.py\")\nseen=set()\nfor path in paths:\n if path in seen: continue\n seen.add(path)\n p=pathlib.Path(path)\n if not p.exists(): print(\"!! missing\",path); continue\n tree=ast.parse(p.read_text())\n fns=[n for n in tree.body if isinstance(n,(ast.FunctionDef,ast.AsyncFunctionDef)) and not n.name.startswith(\"_\")]\n print(f\"=== {path} ({len(fns)}) ===\")\n for n in fns: print(\" \"+n.name+ast.unparse(n.args)[:150])\nPY"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"MUzbQd40lIAmWuso"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== apps/catalog/services.py (12) ===\n get_categorycategory_id\n create_categorydata: dict[str, Any], actor: User\n update_categorycategory: Category, data: dict[str, Any], actor: User\n set_category_activecategory: Category, *, is_active: bool,\n\n...\n\nure_periodcompany: Company, on: dt.date\n resolve_periodcompany: Company, on: dt.date\n create_default_company\n get_default_company\n default_branchcompany: Company\n account_forcompany: Company, system_key: str\n accounts_by_keycompany: Company\n"},"id":"5ra60lsnRyIbNSCn"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031467871,"finishedAt":1786031468225,"lastPartSentAt":1786031468225,"taskNameActive":null,"id":"buCXsKAYm3t0Hh5I","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm noticing that the shipping module doesn't have a dedicated service for creating shipping methods, so they must be managed through admin views and serializers instead. Let me look at the shipping admin configuration and the finance bootstrap to understand how they're set up."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031468463,"finishedAt":1786031470419,"lastPartSentAt":1786031470375,"taskNameActive":"Reading remaining functions","taskNameComplete":"Read remaining functions","toolCallId":"toolu_01KGmfRcqaXEDoy4XVs2aXUN","agentTurnId":"turn_ZHC6baCiHp21bI9S","filePath":null,"id":"vQGjAVUIgL8QE8SM","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/listing-all-functions-task-bc1-h.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/listing-all-functions-task-bc1-h.txt","offset":67,"limit":27}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031477336,"finishedAt":1786031479121,"lastPartSentAt":1786031479121,"taskNameActive":null,"id":"drexRLZuAGR8rWaV","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"Shipping configuration is handled through admin serializers rather than dedicated service functions, so I need to check those serializer classes and admin views. For the catalog, brands, attributes, variants, media, and SEO aren't in separate services either—they're nested within the product creation serializer or managed through the serializers themselves, so I should examine what the product create serializer accepts in its data structure."}]}}],["p",{},["text",{},"Two crucial gaps: shipping config and brands/variants/SEO/media have no dedicated service functions. Let me find the real write path for each."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031481811,"finishedAt":1786031484267,"lastPartSentAt":1786031484036,"taskNameActive":"Finding write paths","taskNameComplete":"Found write paths","toolCallId":"toolu_01PYaBHQo7tsqDeqbj764JAy","agentTurnId":"turn_QiPWZF0qT0DQ4WOk","filePath":null,"id":"ilXbYhy8UKFffoaD","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== catalog serializers classes ===\" && grep -n '^class ' apps/catalog/serializers.py && echo \"=== shipping serializers classes ===\" && grep -n '^class ' apps/shipping/serializers.py && echo \"=== catalog create_product body ===\" && sed -n \"$(grep -n 'def create_product' apps/catalog/services.py | cut -d: -f1),+55p\" apps/catalog/services.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"wbvH0Ft8IdbBcxrD"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== catalog serializers classes ===\n16:class VariantInputSerializer(serializers.Serializer):\n24:class AttributeValueInputSerializer(serializers.Serializer):\n30:class MediaInputSerializer(serializers.Serializer):\n42:class AdminProductQuerySerializ\n\n...\n\n(key) for key in (\"variants\", \"attribute_values\", \"media\") if key in payload\n }\n try:\n for field, value in payload.items():\n setattr(product, field, value)\n product.save()\n _sync_aggregate(product, aggregate)\n"},"id":"wS1L8IvYwlGXHhGz"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031489103,"finishedAt":1786031490033,"lastPartSentAt":1786031490033,"taskNameActive":null,"id":"Oij4tonikyZ1IFSQ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I need to trace through the validation flow: `ProductWriteSerializer` validates the incoming data with all its nested fields like variants, attributes, media, and categories, then I pass the validated data to `create_product` along with the actor. Let me check the exact field names in `ProductWriteSerializer` and `MediaInputSerializer`, and also review what the `publish_product` gate requires."}]}}],["p",{},["text",{},"Let me read the exact validation contract for products and the publish gate."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031491263,"finishedAt":1786031494344,"lastPartSentAt":1786031494323,"taskNameActive":"Reading product serializer","taskNameComplete":"Read product serializer","toolCallId":"toolu_017wHUiC5a4J7bwvXRHLaRb1","agentTurnId":"turn_vibdRbj58E3LhdVh","filePath":null,"id":"1zPRjRPnBjvOnqxW","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/serializers.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/catalog/serializers.py","offset":15,"limit":95}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031491952,"finishedAt":1786031495706,"lastPartSentAt":1786031495322,"taskNameActive":"Reading publish gate","taskNameComplete":"Read publish gate","toolCallId":"toolu_015g5zbj39goTWYUXQD99meQ","agentTurnId":"turn_vibdRbj58E3LhdVh","filePath":null,"id":"rxtzPEhtWo2LX0IH","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && sed -n \"$(grep -n 'def publish_product' apps/catalog/services.py | cut -d: -f1),+40p\" apps/catalog/services.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"r57wDdBI5d4leYiH"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"def publish_product(product: Product, actor: User) -> Product:\n if product.status != Product.Status.DRAFT:\n raise ConflictError(\"Only draft products can be published.\")\n missing: list[str] = []\n if product.visibility != Product.Vi\n\n...\n\n )\n product.status = Product.Status.PUBLISHED\n product.published_at = timezone.now()\n product.save(update_fields=(\"status\", \"published_at\", \"updated_at\"))\n _audit(product, actor, \"catalog.product.published\", {\"status\": \"published\"})\n"},"id":"snPz1V1LJnLji1zE"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031502255,"finishedAt":1786031509070,"lastPartSentAt":1786031509070,"taskNameActive":null,"id":"0N3VO7nj5gK2zzB6","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":7,"thought":"$b3"}]}}],["p",{},["text",{},"Let me check SEO handling and the media upload contract."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031509889,"finishedAt":1786031513813,"lastPartSentAt":1786031512539,"taskNameActive":"Checking SEO and media","taskNameComplete":"Checked SEO and media","toolCallId":"toolu_01LwQfuMie6gm471NXwqGnhy","agentTurnId":"turn_hlYOWt8m6JvSOZOa","filePath":null,"id":"hBXP3Gf5sR0Amhue","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== SEO refs ===\" && grep -rn 'seo' apps/catalog/models.py | head -20 && echo \"=== SEO elsewhere ===\" && grep -rln 'class.*Seo\\|meta_title' apps/*/models.py && echo \"=== upload_asset body head ===\" && sed -n \"$(grep -n 'def upload_asset' apps/media/services.py | cut -d: -f1),+45p\" apps/media/services.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"UCDIDqRIcknsTn5q"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== SEO refs ===\n=== SEO elsewhere ===\napps/catalog/models.py\n=== upload_asset body head ===\ndef upload_asset(\n upload,\n *,\n actor=None,\n folder_id=None,\n title: str = \"\",\n alt_text: str = \"\",\n caption: str = \"\",\n tags: An\n\n...\n\ncontent_type,\n byte_size=stored.byte_size,\n checksum_sha256=stored.checksum_sha256,\n width=dimensions.width,\n height=dimensions.height,\n title=(title or \"\").strip()[:200],\n"},"id":"QBnq3AIn90w7Ows8"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031520001,"finishedAt":1786031520311,"lastPartSentAt":1786031520311,"taskNameActive":null,"id":"kTSeC3JWxrr8RPCD","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm checking whether the SEO-related fields like meta_title actually exist in the catalog models, and I need to verify if MediaAsset requires approval or scan status before it can be used, plus whether ProductMedia's storage reference comes from the asset's storage key."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031521815,"finishedAt":1786031523652,"lastPartSentAt":1786031523462,"taskNameActive":"Checking meta and scan","taskNameComplete":"Checked meta and scan","toolCallId":"toolu_01Nf3rZL2W7pt5nVhyh9iodC","agentTurnId":"turn_XBhgUS6NHPei9kMl","filePath":null,"id":"QUNYbaqfSPsFEh1j","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== meta_/canonical in catalog models ===\" && grep -n 'meta_title\\|meta_description\\|canonical\\|class Product\\b\\|class ProductMedia' apps/catalog/models.py && echo \"=== media scan/approval ===\" && grep -n 'scan_status\\|ScanStatus\\|is_approved\\|MEDIA_SCAN' apps/media/models.py apps/media/services.py | head -20 && echo \"=== settings MEDIA_SCAN ===\" && grep -rn 'MEDIA_SCAN\\|MEDIA_MAX' config/settings/*.py | head"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"4rrRN9YPHGOmmCcU"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== meta_/canonical in catalog models ===\n65: meta_title = models.CharField(max_length=180, blank=True)\n66: meta_description = models.CharField(max_length=320, blank=True)\n119:class Product(CatalogEntity):\n363:class ProductMedia(CatalogEnti\n\n...\n\nOCESSING_TIMEOUT = env.int(\"MEDIA_SCAN_PROCESSING_TIMEOUT\", default=900)\nconfig/settings/base.py:831: \"schedule\": env.float(\"BEAT_MEDIA_SCAN_SECONDS\", default=60.0),\nconfig/settings/prod.py:61:if not MEDIA_SCAN_REQUIRED or not CLAMAV_HOST:\n"},"id":"I0KENBKnFWf3Zpv5"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031528812,"finishedAt":1786031531309,"lastPartSentAt":1786031531309,"taskNameActive":null,"id":"Ljdws6HiOTVG6jwJ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"The `MEDIA_SCAN_REQUIRED` flag defaults to False, so assets are marked clean immediately without needing ClamAV in development. I'm noticing that `meta_title` and `meta_description` are defined on the base CatalogEntity class, which means they're shared between Category and Product, but the ProductWriteSerializer doesn't actually accept these fields—so there's no way to set SEO metadata through the create_product endpoint since it just passes the payload directly to Product.objects.create().\n\nI need to search through the serializers and views to see if there's a separate admin endpoint or serializer for updating product SEO data, since the requirements explicitly call for products to have SEO fields."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031531538,"finishedAt":1786031535939,"lastPartSentAt":1786031534856,"taskNameActive":"Tracing SEO write path","taskNameComplete":"Traced SEO write path","toolCallId":"toolu_019Smz3oNNnv19Th2ZhiFGUu","agentTurnId":"turn_aJZbxn7eCYmoH9IE","filePath":null,"id":"tHEg6uQfRW1e8FTa","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== meta_title across app code ===\" && grep -rn 'meta_title' apps/ --include='*.py' | grep -v migrations && echo \"=== CatalogEntity def ===\" && sed -n '40,80p' apps/catalog/models.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"hxHaDtqxQjXSh2GQ"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== meta_title across app code ===\napps/catalog/models.py:65: meta_title = models.CharField(max_length=180, blank=True)\napps/catalog/serializers.py:154: \"meta_title\",\napps/catalog/serializers.py:195: \"meta_title\",\napps/catalo"},"id":"yvF579msZ9WU2MuN"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"g/serializers.py:222: meta_title = serializers.CharField(\napps/catalog/tests/test_category_admin.py:687: \"meta_\n\n...\n\nds=(\"slug\",),\n condition=Q(deleted_at__isnull=True),\n name=\"catalog_category_live_slug_uq\",\n"},"id":"utye1rjTwrSx4Pi2"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031542863,"finishedAt":1786031549434,"lastPartSentAt":1786031549434,"taskNameActive":null,"id":"w3qUZtAjY4kH46Kp","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":7,"thought":"$b4"}]}}],["p",{},["text",{},"Let me confirm the order flow reads from the cart, and the coupon transition actions."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031549482,"finishedAt":1786031551110,"lastPartSentAt":1786031550818,"taskNameActive":"Verifying order/coupon flow","taskNameComplete":"Verified order/coupon flow","toolCallId":"toolu_01M9cCJU5bEXuHS5CocdPKkx","agentTurnId":"turn_SWBJpZcx0WqMWFFf","filePath":null,"id":"MsitpNa4POAzpsyM","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"=== create_order body (cart usage) ===\" && sed -n \"$(grep -n 'def create_order' apps/orders/services.py | cut -d: -f1),+40p\" apps/orders/services.py | grep -n 'cart\\|Cart\\|raise\\|def \\|address' && echo \"=== coupon transition actions ===\" && grep -n \"action ==\\|ACTIONS\\|'submit'\\|\\\"submit\\\"\\|approve\\|activate\" apps/promotions/services.py | head -25 && echo \"=== promotions serializers ===\" && grep -n '^class ' apps/promotions/serializers.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"ltBJGXf8fJrzREBC"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"=== create_order body (cart usage) ===\n1:def create_order(\n6: shipping_address_id=None,\n7: customer_shipping_address_id=None,\n8: billing_address_id=None,\n17: raise ValidationError(\n22: shipping_address_id=shipping_address_i\n\n...\n\nserializers ===\n11:class CouponWriteSerializer(serializers.Serializer):\n100:class CouponSerializer(serializers.ModelSerializer):\n162:class CouponLifecycleSerializer(serializers.Serializer):\n167:class CouponCodesSerializer(serializers.Serializer):\n"},"id":"cKJCd5iGx9lP8XhF"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031556845,"finishedAt":1786031557478,"lastPartSentAt":1786031557478,"taskNameActive":null,"id":"s0IpoQbBqzVIIVu5","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I've confirmed the coupon lifecycle flow and why the `ctx.approver` field is needed. Now I'm checking whether `create_order` pulls from the cart by searching through the function body more thoroughly, then I'll finalize my understanding and write out the plan."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031558037,"finishedAt":1786031559537,"lastPartSentAt":1786031559348,"taskNameActive":"Confirming cart source","taskNameComplete":"Confirmed cart source","toolCallId":"toolu_01X1Nk9aHoi5CSt4MA5FT758","agentTurnId":"turn_CY3Q7KvNSTTBiVNX","filePath":null,"id":"yM9cUy19GL2uv9tW","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && sed -n \"$(grep -n 'def create_order' apps/orders/services.py | cut -d: -f1),+120p\" apps/orders/services.py | grep -n 'cart\\|Cart\\|lines\\|items' | head -25 && echo \"=== analytics/notifications commands ===\" && ls apps/analytics/management/commands/ apps/notifications/management/commands/ 2>/dev/null"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"VYeCMGdO1FAIQaR3"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"60: cart = Cart.objects.select_for_update().get(customer=customer, status=Cart.Status.ACTIVE)\n61: except Cart.DoesNotExist as exc:\n62: raise ConflictError(\"The active cart is empty.\") from exc\n63: items = list(\n65: # Postgr"},"id":"MmI6h7JT4Qd4Pdgh"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"eSQL will not lock. Scope the lock to the cart item rows themselves.\n66: CartItem.objects.select_for_update(of=(\"s\n\n...\n\nommands/:\n__init__.py\nroll_up_analytics.py\n\napps/notifications/management/commands/:\n__init__.py\nprocess_notifications.py\n"},"id":"22QUVg1kHMJzP2Yu"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031564733,"finishedAt":1786031580920,"lastPartSentAt":1786031580920,"taskNameActive":null,"id":"33ubQ6yjR7utPzS4","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":16,"thought":"$b5"}]}}],["p",{},["text",{},"I have a complete picture. Let me write the plan."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031582035,"finishedAt":1786031628136,"lastPartSentAt":1786031628041,"taskNameActive":"Writing plan","taskNameComplete":"Wrote plan","toolCallId":"toolu_017WMrPRemXfcYmu7wPLm2MK","agentTurnId":"turn_4IZkzky2XC1iXbOn","filePath":"v0_plans/neat-build.md","id":"glV7UOnDW1l7uJYm","type":"task-write-file-v1","parts":[{"type":"written-file","filePath":"v0_plans/neat-build.md"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031641448,"finishedAt":1786031643442,"stopped":{"reason":"user-input-required"},"lastPartSentAt":1786031642883,"taskNameActive":"Submitting plan","taskNameComplete":"Submitted plan","toolCallId":"toolu_01JgFVgeRz62qBhdaed4te3z","agentTurnId":"turn_ajCGDzTSO2kT4FIM","filePath":null,"id":"pMWFluNjasSrIh4Q","type":"task-exit-plan-mode-v1","parts":[{"type":"reviewing-plan","planContent":"$b6","planSummary":"$b7","path":"v0_plans/neat-build.md"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"RVnXOWldtpFXrfCf9mriJiXfzYHPuily","gitRevision":{"baseSha":"abae38aee48afad5933f0620122959bdfad5e4da","headSha":"abae38aee48afad5933f0620122959bdfad5e4da","readyAt":"2026-08-06T15:54:12.185Z","version":1},"streaming":false,"finishReason":"tool-calls","parentId":"r4k41dylCWRYMfjyyx4o4Le9cev81jiH","type":"message","creditCost":1.12384625,"workMetrics":{"diffMap":{},"linesRead":614,"agentActions":18},"createdAt":"$D2026-08-06T15:50:14.377Z","updatedAt":"$D2026-08-06T15:54:12.197Z"},{"content":{"type":"parts","parts":[{"type":"plan-exit-response","status":"approved","content":"I approve the plan, let's build it."}],"version":1},"role":"user","id":"poE8f5ve7kKYXpRZYgO3pZxm6OqgTyo8","attachments":[],"parentId":"RVnXOWldtpFXrfCf9mriJiXfzYHPuily","type":"message","authorId":"dlGbpYRDqaSwLWRXujaIyLt5","createdAt":"$D2026-08-06T15:54:16.841Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1786031662487,"finishedAt":1786031662978,"lastPartSentAt":1786031662978,"taskNameActive":null,"id":"zmAa3syVY6LMqbK4","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"Now I need to review the plan file and re-examine the key seeding files since the context got trimmed, then proceed with the build carefully."}]}}],["p",{},["text",{},"Plan approved. Let me re-read the plan and the existing framework files, since their contents were trimmed from my context."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031663247,"finishedAt":1786031664272,"lastPartSentAt":1786031664248,"taskNameActive":"Reading plan","taskNameComplete":"Read plan","toolCallId":"toolu_01D8YbJyaZeV5EfYumZNSquq","agentTurnId":"turn_vznpNS8C7K3X0sZA","filePath":null,"id":"tiZrkujiiLhnl9Sj","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"v0_plans/neat-build.md"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031669592,"finishedAt":1786031669984,"lastPartSentAt":1786031669984,"taskNameActive":null,"id":"dSAYHyee06OO5nTm","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to review the existing seeding infrastructure first—reading through runtime.py, profiles.py, and the dataclass definitions to understand the exact APIs I'm working with. Let me gather those details before mapping out the full plan."}]}}],["p",{},["text",{},"Let me set up task tracking, then re-read the exact contracts I must build against."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031671279,"finishedAt":1786031671546,"lastPartSentAt":1786031671525,"taskNameActive":"Creating task list","taskNameComplete":"Created task list","toolCallId":"toolu_01X3iyzFHWpT8TKpsBPKBww3","agentTurnId":"turn_QIEKMtGMHeraQBcp","filePath":null,"id":"K5neGqIQSYZj4WIF","type":"task-manage-todos-v1","parts":[{"type":"starting-todo-manager"},{"type":"updated-todo-list","updatedList":[{"status":"in-progress","task":"Build seed core: registry, chronology, purge"},{"status":"todo","task":"Build foundation/media/taxonomy/logistics stages"},{"status":"todo","task":"Build catalog and customers stages"},{"status":"todo","task":"Build engagement, promotions, orders stages"},{"status":"todo","task":"Build feedback, content, outreach, insights stages"},{"status":"todo","task":"Add seed_demo command, remove legacy seeder"},{"status":"todo","task":"Run seed, verify idempotency and env gate"}]}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031675691,"finishedAt":1786031676284,"lastPartSentAt":1786031676240,"taskNameActive":"Reading runtime","taskNameComplete":"Read runtime","toolCallId":"toolu_01RtpNEPeYZ6VEtr6dGLwso5","agentTurnId":"turn_VwdYVX5nUWTJaczj","filePath":null,"id":"I6KoVaKaYNNgmFCk","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/runtime.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031680362,"finishedAt":1786031680428,"lastPartSentAt":1786031680428,"taskNameActive":null,"id":"lSCTIdg4LmuoAViC","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to examine the profiles.py file and review the dataclass definitions in datasets.py and scenarios.py to understand the data structures being used."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031680860,"finishedAt":1786031681358,"lastPartSentAt":1786031681329,"taskNameActive":"Reading profiles","taskNameComplete":"Read profiles","toolCallId":"toolu_01GKXApMSL277aDxuyxj9xYQ","agentTurnId":"turn_lkJ7NJ5XgspsQ44W","filePath":null,"id":"BSZcQ89LxjQfnF2W","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/profiles.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031687022,"finishedAt":1786031687203,"lastPartSentAt":1786031687203,"taskNameActive":null,"id":"gAKkVjVtRF3q11fp","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm looking at the structure of datasets.py to understand the dataclass definitions and constants at the top of the file."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031687311,"finishedAt":1786031687968,"lastPartSentAt":1786031687947,"taskNameActive":"Reading dataset shapes","taskNameComplete":"Read dataset shapes","toolCallId":"toolu_01GG7JUN6FEnmMrxmoVGYfZC","agentTurnId":"turn_CnRqupeZB5xI6Tnf","filePath":null,"id":"JsyQxWUobu6vLfLk","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py","offset":0,"limit":215}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031692833,"finishedAt":1786031692926,"lastPartSentAt":1786031692926,"taskNameActive":null,"id":"noDvnS1PAULwtu99","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to locate the remaining data structures and the class definition in datasets.py to see their line numbers."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031693997,"finishedAt":1786031695942,"lastPartSentAt":1786031695645,"taskNameActive":"Locating dataset sections","taskNameComplete":"Located dataset sections","toolCallId":"toolu_01QUVk7RffBxEYzMBeL3XCSa","agentTurnId":"turn_12JfFDK8zTseuxRK","filePath":null,"id":"bd9uJogCcE4DuRI0","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend/apps/core/seeding && grep -n '^[A-Z_]\\+:\\|^class \\|^[A-Z_]\\+ =' datasets.py scenarios.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"ALmAjmAEEUzqgfVy"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"datasets.py:23:MEDIA_FOLDERS: tuple[tuple[str, str, str | None], ...] = (\ndatasets.py:34:BRANDS: tuple[tuple[str, str], ...] = (\ndatasets.py:42:CATEGORIES: tuple[tuple[str, str, str | None, str, str, str, bool], ...] = (\ndatasets.py:119:PRODUCT_ATTRI"},"id":"dT3RGvgUk8KBm2VA"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"BUTES: tuple[tuple[str, str, str, bool], ...] = (\ndatasets.py:127:class P:\ndatasets.py:200:PRODUCTS: tuple[P, ...] = (\nda\n\n...\n\nple[str, str, str, str, str, str], ...] = (\nscenarios.py:458:REVIEWS: tuple[tuple[str, str, int, str, str, str], ...] = (\n"},"id":"AdQrdWpvYwdKArxF"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031699747,"finishedAt":1786031700265,"lastPartSentAt":1786031700244,"taskNameActive":"Reading logistics/customers","taskNameComplete":"Read logistics/customers","toolCallId":"toolu_01G9GCSq5KH4xuLKugYME8s8","agentTurnId":"turn_dppCnRFaJW1fFMWP","filePath":null,"id":"9ErexQRYjJqJ8seS","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py"},{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/datasets.py","offset":514,"limit":231}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031704506,"finishedAt":1786031704620,"lastPartSentAt":1786031704620,"taskNameActive":null,"id":"nKIAITOA3uZuvbAx","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm looking at scenarios.py now, which contains the O, K, and B classes along with their constants—about 500 lines total to review."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031705384,"finishedAt":1786031705979,"lastPartSentAt":1786031705944,"taskNameActive":"Reading scenarios","taskNameComplete":"Read scenarios","toolCallId":"toolu_01VCfX7jASPxPWAcKCrnomf4","agentTurnId":"turn_eDJaMRq67b1RhKG6","filePath":null,"id":"X2s82wAo3PKt5Slv","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/backend/apps/core/seeding/scenarios.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031713786,"finishedAt":1786031714202,"lastPartSentAt":1786031714202,"taskNameActive":null,"id":"vELnEYr90Wr0DODG","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to extract the exact service signatures using AST introspection across all the services I'm working with, so I'm going to write a script that comprehensively maps out their structure."}]}}],["p",{},["text",{},"Now I have the complete dataset. Let me extract exact signatures for every service function I'll call."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031717592,"finishedAt":1786031719281,"lastPartSentAt":1786031719109,"taskNameActive":"Extracting all signatures","taskNameComplete":"Extracted all signatures","toolCallId":"toolu_0177ceqEhqEpReZ5MWgALVzX","agentTurnId":"turn_cq158Pbd3PW0DuOB","filePath":null,"id":"baBISrnQrMA2qSMh","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && python3 - <<'PY'\nimport ast, pathlib, glob\nfiles = [\"apps/media/services.py\",\"apps/catalog/services.py\",\"apps/inventory/services.py\",\n\"apps/orders/services.py\",\"apps/payments/services.py\",\"apps/promotions/services.py\",\n\"apps/cart/services.py\",\"apps/reviews/services.py\",\"apps/finance/bootstrap.py\",\n\"apps/cms/services.py\",\"apps/marketing/services.py\",\"apps/notifications/services.py\"]\nfiles += glob.glob(\"apps/identity/*service*.py\")+glob.glob(\"apps/wishlist*/services.py\")+glob.glob(\"apps/shipping/services.py\")\nfor f in files:\n p=pathlib.Path(f)\n if not p.exists(): print(\"!! MISSING\",f); continue\n t=ast.parse(p.read_text())\n fns=[n for n in t.body if isinstance(n,(ast.FunctionDef,ast.AsyncFunctionDef)) and not n.name.startswith(\"_\")]\n print(f\"\\n=== {f} ===\")\n for n in fns:\n print(\" def \"+n.name+ast.unparse(n.args))\nPY"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"OmI5WVOiR79Zt7Pu"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\n=== apps/media/services.py ===\n def record_eventaction: AuditAction, *, asset: MediaAsset | None=None, actor=None, reason: str='', evidence: dict[str, Any] | None=None\n def assets*, include_deleted: bool=False\n def get_assetasset_id, *, inclu\n\n...\n\nmethod_id\n def create_shipment*, order: Order, quote: ShippingQuote\n def submit_shipment_to_courier*, shipment_id\n def synchronize_shipment*, shipment_id, actor\n def apply_tracking_update*, shipment_id, update: NormalizedTrackingUpdate, actor\n"},"id":"9UiapeK3fOOM6Bla"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031723564,"finishedAt":1786031724292,"lastPartSentAt":1786031724257,"taskNameActive":"Reading rest of signatures","taskNameComplete":"Read rest of signatures","toolCallId":"toolu_01GrCUcQm28CfRbNbRt3ZNXd","agentTurnId":"turn_HJE1CkSQRrRt26FY","filePath":null,"id":"VOt9Ym9u1BEJEh93","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/extracting-all-signatures-task-ufms.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/extracting-all-signatures-task-ufms.txt","offset":57,"limit":140}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031731068,"finishedAt":1786031736683,"lastPartSentAt":1786031736683,"taskNameActive":null,"id":"sQbsjOQcoJXj72hZ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":6,"thought":"$b8"}]}}],["p",{},["text",{},"All signatures resolved. Now let me inspect the validation contracts — serializers and model choices — for the write paths."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031737274,"finishedAt":1786031742253,"lastPartSentAt":1786031742053,"taskNameActive":"Reading catalog contract","taskNameComplete":"Read catalog contract","toolCallId":"toolu_01MJAyajAFVkWzB2EzsihYmU","agentTurnId":"turn_btGwAn8Ve2jvZJrR","filePath":null,"id":"3sgU6QRcexV2jpYg","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && sed -n '1,140p' apps/catalog/serializers.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"T1T2leJNwuPWJFZ0"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"from decimal import Decimal\n\nfrom rest_framework import serializers\n\nfrom .models import (\n Brand,\n Category,\n Product,\n ProductAttributeValue,\n ProductCategory,\n ProductMedia,\n ProductVariant,\n)\n\n\nclass VariantInputSerializer(se"},"id":"brR5C62KbzmJmbMc"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"rializers.Serializer):\n id = serializers.UUIDField(required=False)\n name = serializers.CharField(max_length=160)\n \n\n...\n\nySerializer(serializers.ModelSerializer):\n \"\"\"Category node for storefront navigation and the listing page header.\"\"\"\n\n"},"id":"ZvTjhJdvj9UtWji3"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031740133,"finishedAt":1786031743064,"lastPartSentAt":1786031742877,"taskNameActive":"Reading shipping models","taskNameComplete":"Read shipping models","toolCallId":"toolu_01Dqcq9dELBGxEJBvghR41nj","agentTurnId":"turn_btGwAn8Ve2jvZJrR","filePath":null,"id":"84bNwblsf6OGXnQP","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && python3 - <<'PY'\nimport django,os\nos.environ.setdefault(\"DJANGO_SETTINGS_MODULE\",\"config.settings.dev\")\ndjango.setup()\nfrom django.apps import apps\nfor label in [\"shipping.ShippingMethod\",\"shipping.ShippingZone\",\"shipping.ShippingRate\",\"inventory.Warehouse\",\"catalog.Product\",\"catalog.Category\",\"catalog.Brand\"]:\n m=apps.get_model(label)\n print(f\"=== {label} ===\")\n for f in m._meta.get_fields():\n if hasattr(f,\"attname\"):\n extra=\"\"\n if getattr(f,\"choices\",None): extra=\" choices=\"+\",\".join(str(c[0]) for c in f.choices)\n print(f\" {f.name}: {f.get_internal_type()}{' NULL' if getattr(f,'null',False) else ''}{extra}\")\nPY"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"sEMrBIidEQPHumTF"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"\nTraceback (most recent call last):\n File \"\", line 1, in \nModuleNotFoundError: No module named 'django'\n"},"id":"JTDq2TcHDFq3poK8"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031747610,"finishedAt":1786031748001,"lastPartSentAt":1786031748001,"taskNameActive":null,"id":"CpI1DGFO84EdGSg9","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"Django isn't installed in the global environment, so I should check if there's a virtual environment set up."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031748715,"finishedAt":1786031750251,"lastPartSentAt":1786031749995,"taskNameActive":"Finding python env","taskNameComplete":"Found python env","toolCallId":"toolu_01TcfVQHcmZRkCkRcAgk43SE","agentTurnId":"turn_WBCUjMixSjgA6wE4","filePath":null,"id":"hI9fYap6ab5dpOSx","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && ls -a | head -20 && which python3 uv 2>/dev/null && ls .venv/bin 2>/dev/null | head && cat Makefile 2>/dev/null | head -30"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"NqpGwBhEebN7eUFJ"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":".\n..\n.env.example\n.gitignore\n.venv\n.vercelignore\nDockerfile\nDockerfile.worker\napi\napps\nbuild.sh\nconfig\nmanage.py\nmedia\npyproject.toml\nrequirements\nrequirements.txt\nrun_with_env.py\nscripts\nuv.lock\n/usr/local/bin/python3\n/usr/local/bin/uv\nActivate.ps1\n__pycache__\nactivate\nactivate.csh\nactivate.fish\ncelery\ncffi-gen-src\ndjango-admin\ndoesitcache\nhttpx\n"},"id":"PEfv1fySUWve4OiN"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031757377,"finishedAt":1786031759054,"lastPartSentAt":1786031758799,"taskNameActive":"Introspecting models","taskNameComplete":"Introspected models","toolCallId":"toolu_01KZY1uLHxS9EShZW7BuoD6q","agentTurnId":"turn_56310CU11FX6KHui","filePath":null,"id":"7xYuJl5rEkKavrto","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && cat .env.example | grep -i 'database\\|DJANGO_SET' | head && .venv/bin/python -c \"\nimport os,django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE','config.settings.dev')\ndjango.setup()\nfrom django.apps import apps\nfor label in ['shipping.ShippingMethod','shipping.ShippingZone','shipping.ShippingRate','inventory.Warehouse']:\n m=apps.get_model(label); print('===',label)\n for f in m._meta.get_fields():\n if hasattr(f,'attname'):\n ch=' choices='+','.join(str(c[0]) for c in f.choices) if getattr(f,'choices',None) else ''\n print(' ',f.name,f.get_internal_type(),'NULL' if getattr(f,'null',False) else '',ch)\n\" 2>&1 | tail -60"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"fQqNNlDyJS5hHlwQ"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"DJANGO_SETTINGS_MODULE=config.settings.dev\n# Database. Local development may use SQLite by leaving DATABASE_URL empty;\nDATABASE_URL=\n# databases may point every role at one URL; REDIS_KEY_PREFIX still isolates stages.\n# Quarantined asynchronous uploa"},"id":"THyr7yEkQBEhnyDT"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"d scanning through the database worker + ClamAV.\n=== shipping.ShippingMethod\n id UUIDField \n code SlugField \n nam\n\n...\n\nextField \n address JSONField \n is_active BooleanField \n created_at DateTimeField \n updated_at DateTimeField \n"},"id":"aDkEcBzcVkcOzSLe"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031766497,"finishedAt":1786031767726,"lastPartSentAt":1786031767726,"taskNameActive":null,"id":"BXa2xOnaBzy0d9UY","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The venv is working, so now I'm going through the remaining contracts systematically—promotions with coupon serializers and transition actions, CMS item creation fields, customer address models and order address creation, product status and availability choices, review moderation statuses, media uploads with Django file handling, and marketing templates, segments, and campaigns. I'll write a script that extracts all the model fields and pulls the relevant source code snippets into one place."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031768088,"finishedAt":1786031769860,"lastPartSentAt":1786031769670,"taskNameActive":"Inspecting write contracts","taskNameComplete":"Inspected write contracts","toolCallId":"toolu_01AQYCYUXxRsPHuauXPbmojr","agentTurnId":"turn_4B3HzhTPx1JGnffR","filePath":null,"id":"23ThwbSpeHPM1qjV","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"########## promotions create_coupon ##########\" && sed -n \"$(grep -n 'def create_coupon' apps/promotions/services.py | cut -d: -f1),+45p\" apps/promotions/services.py && echo \"########## transition_coupon ##########\" && sed -n \"$(grep -n 'def transition_coupon' apps/promotions/services.py | cut -d: -f1),+50p\" apps/promotions/services.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"41hLLmda4RN3Ls4p"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"########## promotions create_coupon ##########\ndef create_coupon(data: dict[str, Any], actor: User) -> Coupon:\n payload = dict(data)\n product_ids = payload.pop(\"product_ids\", None)\n category_ids = payload.pop(\"category_ids\", None)\n scope "},"id":"3YWUaabi2nmCiw1A"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"= payload.get(\"scope\", Coupon.Scope.CART)\n product_ids = _resolve_relation_ids(Product, product_ids, field=\"product_id\n\n...\n\n\n )\n return get_coupon(coupon.pk)\n\n\n# --------------------------------------------------------------------------- #\n"},"id":"aspLz0Lwqj1JsJGZ"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031775894,"finishedAt":1786031776888,"lastPartSentAt":1786031776888,"taskNameActive":null,"id":"EmZd6vXuxdTs0USS","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"The `create_coupon` endpoint accepts model fields plus product and category IDs, and I'm noting that transitioning to \"stopped\" status requires a reason and follows the path submit→approve→activate→stop. Now I need to pull the Coupon model fields, CustomerAddress structure, Product status and availability options, CMS ContentItem details, review moderation setup, marketing serializer fields, and notification configuration—I'll use the introspection script for the models and grep through the codebase for the serializer field definitions."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031779058,"finishedAt":1786031781052,"lastPartSentAt":1786031780795,"taskNameActive":"Introspecting more models","taskNameComplete":"Introspected more models","toolCallId":"toolu_01KjcdwsxKHhjVBXSi47rPcm","agentTurnId":"turn_6sRjqsp58AUdyOav","filePath":null,"id":"i1ZxBoWDTQwOBEj1","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && .venv/bin/python -c \"\nimport os,django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE','config.settings.dev')\ndjango.setup()\nfrom django.apps import apps\nfor label in ['promotions.Coupon','identity.CustomerAddress','catalog.Product','reviews.Review','cms.ContentItem']:\n m=apps.get_model(label); print('===',label)\n for f in m._meta.get_fields():\n if hasattr(f,'attname'):\n ch=' choices='+','.join(str(c[0]) for c in f.choices) if getattr(f,'choices',None) else ''\n print(' ',f.name,f.get_internal_type(),'NULL' if getattr(f,'null',False) else '',ch)\n\" 2>&1 | tail -90"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"ZO06jKF8JV1LXHYA"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":" is_active BooleanField \n lifecycle CharField choices=draft,pending_approval,approved,active,stopped\n rule_version PositiveIntegerField \n budget_amount DecimalField NULL \n budget_spent DecimalField \n submitted_by ForeignKey NULL \n "},"id":"LCkfLULl5JxZ8bZX"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"submitted_at DateTimeField NULL \n approved_by ForeignKey NULL \n approved_at DateTimeField NULL \n stopped_by Foreign\n\n...\n\nived_at DateTimeField NULL \n created_at DateTimeField \n updated_at DateTimeField \n deleted_at DateTimeField NULL \n"},"id":"m1DF9EB2Wvxc7vsg"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031786842,"finishedAt":1786031788014,"lastPartSentAt":1786031788014,"taskNameActive":null,"id":"jVjOq7ituble4OwE","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm noticing a mismatch between my dataset structure and the CustomerAddress model — my data has `address_line_1`, `area`, `city`, `district`, `postal_code`, but CustomerAddress expects `address_line`, `division`/`district`/`upazila` foreign keys, and `postcode`. I need to check whether the order address creation method uses a different model, and whether the geo models have seeded data I can reference."}]}}],["p",{},["text",{},"Important mismatch to resolve: "],["code",{},"CustomerAddress"],["text",{}," uses geo FKs (division/district/upazila), not the flat dict my dataset declares. Let me check both address paths."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031790253,"finishedAt":1786031792950,"lastPartSentAt":1786031792759,"taskNameActive":"Checking address paths","taskNameComplete":"Checked address paths","toolCallId":"toolu_01Y3GR247q6bzsav3nHEyLHp","agentTurnId":"turn_0CkTDBZA6fpUx7mn","filePath":null,"id":"EL6keg7OwaJzLwtg","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"##### orders.create_address #####\" && sed -n \"$(grep -n 'def create_address' apps/orders/services.py | cut -d: -f1),+35p\" apps/orders/services.py && echo \"##### geo models #####\" && .venv/bin/python -c \"\nimport os,django\nos.environ.setdefault('DJANGO_SETTINGS_MODULE','config.settings.dev')\ndjango.setup()\nfrom django.apps import apps\nfor m in apps.get_app_config('identity').get_models(): print(' ',m._meta.label)\n\" && echo \"##### geo fixtures/commands #####\" && ls apps/identity/management/commands/ 2>/dev/null && find . -path ./.venv -prune -o -name '*.json' -path '*fixture*' -print"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"XSpFuDjHmo2k3y8D"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"##### orders.create_address #####\ndef create_address(*, customer, data: dict) -> Address:\n return Address.objects.create(customer=customer, **data)\n\n\ndef get_address(*, customer, address_id) -> Address:\n try:\n return Address.objects.get("},"id":"u0DVam3ssWjoKjtP"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"pk=address_id, customer=customer, is_active=True)\n except Address.DoesNotExist as exc:\n raise NotFoundError(\"Th\n\n...\n\nidentity.CustomerAddress\n##### geo fixtures/commands #####\n__init__.py\nprovision_admin.py\nseed_users.py\nsync_geography.py\n"},"id":"188vjFBCQtn1CtD9"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031799208,"finishedAt":1786031805728,"lastPartSentAt":1786031805728,"taskNameActive":null,"id":"gk6do4ucgMcrzDUZ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":7,"thought":"$b9"}]}}],["p",{},["text",{},"Two distinct address models. The real checkout path uses "],["code",{},"CustomerAddress"],["text",{}," (geo-FK based, coverage-gated). Let me verify the geography prerequisite and coverage rules."]],["AssistantMessageContentPart",{"part":{"createdAt":1786031805832,"finishedAt":1786031808013,"lastPartSentAt":1786031807759,"taskNameActive":"Checking geography","taskNameComplete":"Checked geography","toolCallId":"toolu_01RSmpX31tQjseWL9F5VTvnu","agentTurnId":"turn_Q78YR6gw0crEFaFN","filePath":null,"id":"MN1fozOoz2dYZm3E","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"##### sync_geography #####\" && sed -n '1,60p' apps/identity/management/commands/sync_geography.py && echo \"##### evaluate_coverage + save_address #####\" && sed -n \"$(grep -n 'def evaluate_coverage' apps/identity/address_services.py | cut -d: -f1),+30p\" apps/identity/address_services.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"IsDnM7FbcNQQrEMA"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"##### sync_geography #####\nfrom django.core.management.base import BaseCommand\nfrom django.db import transaction\n\nfrom apps.identity.geography_sync import sync_geography\nfrom apps.identity.models import District, Division, Upazila\n\n\nclass Command(Bas"},"id":"SWq9Prrx97nDiVS5"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"eCommand):\n help = \"Add any missing Bangladesh divisions, districts and upazilas (idempotent).\"\n\n @transaction.atom\n\n...\n\nion\": event_type,\n \"resource\": \"customer_address\",\n \"reference\": str(address.pk),\n },\n )\n\n"},"id":"RmKkSgfvNh98yEco"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031813476,"finishedAt":1786031814756,"lastPartSentAt":1786031814756,"taskNameActive":null,"id":"94Amn74Sc1vxzbDl","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I need to verify whether the area names in the dataset—like \"Banani\", \"Uttara\", \"Bashundhara R/A\"—actually map to upazila records in the geography data, since they look more like neighborhoods than the actual Dhaka district upazilas I'd expect to find."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031815812,"finishedAt":1786031817554,"lastPartSentAt":1786031817342,"taskNameActive":"Checking upazila data","taskNameComplete":"Checked upazila data","toolCallId":"toolu_0142Dnrk6LppE88sGUyc6zvT","agentTurnId":"turn_VAQt9Y4ggVCkWXrC","filePath":null,"id":"J5git38q9uf9RLWL","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/backend && echo \"##### geography_sync head #####\" && sed -n '1,50p' apps/identity/geography_sync.py && echo \"##### serviceable flags #####\" && grep -n 'is_serviceable\\|coverage_available' apps/identity/geography_sync.py apps/identity/models.py | head -20 && echo \"##### Banani/Uttara present? #####\" && grep -c 'Banani\\|Uttara\\|Gulshan' apps/identity/geography_sync.py"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"Em5yJHuG6ZKOWYqu"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"##### geography_sync head #####\n\"\"\"Idempotent synchronisation of the Bangladesh geography reference tables.\n\nCalled from a data migration and from the ``sync_geography`` management command,\nso it must work with both historical (``apps.get_model``) an"},"id":"nOALCvhe38wfwxGy"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"d concrete model\nclasses. Existing rows are matched by natural key (name within parent) and are\nnever renamed, re-coded, \n\n...\n\nps/identity/models.py:199: coverage_available = models.BooleanField(default=True)\n##### Banani/Uttara present? #####\n0\n"},"id":"azgLz4QM3bVjkhcE"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1786031817766,"finishedAt":1786031817766,"lastPartSentAt":1786031817766,"id":"bjvRpeUEDUfiaTS7","type":"task-stopped-v1","parts":[{"type":"out-of-credits"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"qFNYdWkcTOQS24ZCaAuY2VwLHmuLynSz","gitRevision":{"baseSha":"abae38aee48afad5933f0620122959bdfad5e4da","headSha":"abae38aee48afad5933f0620122959bdfad5e4da","readyAt":"2026-08-06T15:57:02.738Z","version":1},"streaming":false,"finishReason":"tool-calls","parentId":"poE8f5ve7kKYXpRZYgO3pZxm6OqgTyo8","type":"message","creditCost":1.49689075,"workMetrics":{"diffMap":{},"linesRead":1540,"agentActions":19},"createdAt":"$D2026-08-06T15:54:16.842Z","updatedAt":"$D2026-08-06T15:57:02.819Z"}],"lastSyncedAt":1787600347286,"undo":null,"activeForkKey":["dkoRY4Qr8mIwKz0nDIETkIBjaiF9DLOy","mINgCJdvG5qGWNyjbdA1i0mOmuiAl6Zg","rb295ohdIGyiFWPnYiOMrfTLRHWfangb","p1dTVPiXwr2gJgig7ZReCb6xGCmgSibh","r4k41dylCWRYMfjyyx4o4Le9cev81jiH","RVnXOWldtpFXrfCf9mriJiXfzYHPuily","poE8f5ve7kKYXpRZYgO3pZxm6OqgTyo8","qFNYdWkcTOQS24ZCaAuY2VwLHmuLynSz"],"lifecycle":{"phase":"idle","persistence":"persisted"},"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"bc8ausuznsD\",":{"id":"b_LOlfSDEDe0H","meta":{"taskNameActive":"Applying 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