feat: add standards wiki, MCP registry, and app template

This commit is contained in:
2026-10-11 22:09:30 +05:30
parent 1ef2efbeda
commit 1208945e1d
155 changed files with 24512 additions and 7 deletions

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.venv/
__pycache__/
*.pyc
.env
.git/
docs/
dist/
build/

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DEBUG=false
MONGO_URI=mongodb://localhost:27017
MONGO_DB=app_template
WORKER_POLL_SECONDS=30
WORKER_MAX_RETRIES=3

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templates/app/Dockerfile Normal file
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FROM python:3.11-slim
WORKDIR /app
COPY pyproject.toml ./
COPY . .
RUN pip install --no-cache-dir --upgrade pip \
&& pip install --no-cache-dir .
EXPOSE 8000
# Two processes, per the two axes:
# - main.py : the spec-first FastAPI application
# - worker.py : the pipeline consumer polling pending jobs
CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port 8000 & exec python worker.py"]

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templates/app/config.py Normal file
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"""# Summary
App configuration loaded from environment — a Settings dataclass with defaults
plus a singleton settings instance populated from OS environment variables at
import time.
"""
import os
from dataclasses import dataclass
@dataclass
class Settings:
"""Runtime configuration settings for the application.
Attributes:
debug (bool): Enable debug behavior. Defaults to False.
mongo_uri (str): MongoDB connection URI. Defaults to mongodb://localhost:27017.
mongo_db (str): MongoDB database name. Defaults to app_template.
worker_poll_seconds (int): Worker poll interval in seconds. Defaults to 30.
worker_max_retries (int): Maximum job retries before skipping. Defaults to 3.
"""
debug: bool = False
mongo_uri: str = "mongodb://localhost:27017"
mongo_db: str = "app_template"
worker_poll_seconds: int = 30
worker_max_retries: int = 3
settings = Settings(
debug=os.environ.get("DEBUG", "").lower() in ("1", "true", "yes"),
mongo_uri=os.environ.get("MONGO_URI", "mongodb://localhost:27017"),
mongo_db=os.environ.get("MONGO_DB", "app_template"),
worker_poll_seconds=int(os.environ.get("WORKER_POLL_SECONDS", "30")),
worker_max_retries=int(os.environ.get("WORKER_MAX_RETRIES", "3")),
)

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services:
api:
build: .
command: uvicorn main:app --host 0.0.0.0 --port 8000
env_file: .env
ports:
- "8000:8000"
depends_on:
- mongo
worker:
build: .
command: python worker.py
env_file: .env
depends_on:
- mongo
mongo:
image: mongo:7
ports:
- "27017:27017"

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"""# Summary
Item domain model — the neutral resource used throughout the template.
"""
from pydantic import BaseModel, Field
class Item(BaseModel):
"""A single countable resource.
Attributes:
name (str): Item name.
quantity (int): Item quantity. Defaults to 1.
"""
name: str
quantity: int = Field(default=1)
model_config = {"extra": "ignore"}

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"""# Summary
Mongo persistence for items: document schema and repository factory.
"""
from domain.item.models import Item
from infra.db.repos.mongo import _repo_factory as mongo_repo_factory
from mongo_ops import BaseDocument, BaseRepository
class ItemDocument(Item, BaseDocument):
"""Mongo document form of :class:`Item`."""
def create_item_repo() -> BaseRepository:
"""Create the Mongo-backed item repository.
Returns:
BaseRepository: Repository wired to the ``items`` collection.
"""
return mongo_repo_factory("items", ItemDocument)

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"""# Summary
CRUD service wiring for the item aggregate via the hexa container.
"""
from hexa import build
from domain.item.models import Item
from domain.item.ports.db import ItemDocument
from infra.adapters.service import CrudsServiceAdaptor
class ItemCrudsService(CrudsServiceAdaptor[Item, ItemDocument]):
"""Item CRUD service resolving :class:`ItemDocument` from a repo.
Notes:
Instances are created by :func:`get_item_service`. The ``model`` and
``schema`` class attributes bind the domain model and its document type.
"""
model = Item
schema = ItemDocument
def get_item_service(repo) -> ItemCrudsService:
"""Build an item CRUD service wired to ``repo``.
Args:
repo (Any): Mongo-backed item repository from :func:`create_item_repo`.
Returns:
ItemCrudsService: Ready-to-use item CRUD service.
"""
return build(ItemCrudsService, instances={"repo": repo})

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"""# Summary
Job domain model — a pipeline work item consumed by the background worker.
"""
from typing import Literal
from pydantic import BaseModel, Field
class Job(BaseModel):
"""A unit of background work.
Attributes:
name (str): Job name.
status (str): Lifecycle status. Defaults to "pending".
retry_count (int): Times the job failed. Defaults to 0.
error_message (str | None): Last failure message. Defaults to None.
payload (dict | None): Arbitrary job payload. Defaults to None.
"""
name: str
status: Literal["pending", "processing", "done", "failed"] = "pending"
retry_count: int = Field(default=0)
error_message: str | None = None
payload: dict | None = None
model_config = {"extra": "ignore"}

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"""# Summary
Mongo persistence for jobs: document schema and repository factory.
"""
from domain.job.models import Job
from infra.db.repos.mongo import _repo_factory as mongo_repo_factory
from mongo_ops import BaseDocument, BaseRepository
class JobDocument(Job, BaseDocument):
"""Mongo document form of :class:`Job`."""
def create_job_repo() -> BaseRepository:
"""Create the Mongo-backed job repository.
Returns:
BaseRepository: Repository wired to the ``jobs`` collection.
"""
return mongo_repo_factory("jobs", JobDocument)

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"""# Summary
CRUD service wiring for the job aggregate via the hexa container.
"""
from hexa import build
from domain.job.models import Job
from domain.job.ports.db import JobDocument
from infra.adapters.service import CrudsServiceAdaptor
class JobCrudsService(CrudsServiceAdaptor[Job, JobDocument]):
"""Job CRUD service resolving :class:`JobDocument` from a repo.
Notes:
Instances are created by :func:`get_job_service`. The ``model`` and
``schema`` class attributes bind the domain model and its document type.
"""
model = Job
schema = JobDocument
def get_job_service(repo) -> JobCrudsService:
"""Build a job CRUD service wired to ``repo``.
Args:
repo (Any): Mongo-backed job repository from :func:`create_job_repo`.
Returns:
JobCrudsService: Ready-to-use job CRUD service.
"""
return build(JobCrudsService, instances={"repo": repo})

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"""# Summary
Generic CRUD service adaptor over a Mongo repository.
Bridge pydantic models and mongo-ops documents, exposing create, read, update,
patch, delete, and search operations for every domain that needs them.
"""
from typing import Generic, Type, TypeVar
from infra.db.repos import mongo
from pydantic import BaseModel
from mongo_ops import BaseDocument
from mongo_ops.models import PyObjectId
Model = TypeVar("Model", bound=BaseModel)
Schema = TypeVar("Schema", bound=BaseDocument)
class CrudsServiceAdaptor(Generic[Model, Schema]):
"""Adapt a generic Mongo repository to a model/schema CRUD service.
Attributes:
repo (mongo.BaseRepository): Repository backing all CRUD operations.
model (Type[Model]): Pydantic model type handled by this service.
schema (Type[Schema]): Document schema type persisted by the repository.
"""
repo: mongo.BaseRepository
model: Type[Model]
schema: Type[Schema]
def __init__(self, *, repo=None):
"""Initialize the adaptor with a backing repository.
Args:
repo (mongo.BaseRepository): Repository used for all operations.
"""
self.repo = repo
@staticmethod
def model_to_dict(model_obj: Model) -> dict:
"""Serialize a model into a sparse dictionary.
Args:
model_obj (Model): Model instance to serialize.
Returns:
dict: Fields that are set and not ``None``.
"""
return model_obj.model_dump(exclude_unset=True, exclude_none=True)
async def create(self, data: Model | dict) -> Schema:
"""Create a document from a model or raw mapping.
Args:
data (Model | dict): Model instance or field mapping to persist.
Returns:
Schema: Persisted document.
"""
if isinstance(data, dict):
data = self.schema(**data)
return await self.repo.create(data)
async def read(self, id: PyObjectId) -> Schema | None:
"""Read a document by primary key.
Args:
id (PyObjectId): Document identifier.
Returns:
Schema | None: Matching document, or ``None`` when absent.
"""
return await self.repo.get_by_id(id)
async def update(self, id: PyObjectId, data: Model | dict) -> Schema | None:
"""Replace a document by primary key.
Args:
id (PyObjectId): Document identifier.
data (Model | dict): Replacement model or field mapping.
Returns:
Schema | None: Updated document, or ``None`` when absent.
"""
return await self.repo.update(
id,
data if isinstance(data, dict) else self.model_to_dict(data),
)
async def patch(self, id: PyObjectId, data: dict) -> Schema | None:
"""Partially update a document by primary key.
Args:
id (PyObjectId): Document identifier.
data (dict): Fields to patch.
Returns:
Schema | None: Updated document, or ``None`` when absent.
"""
return await self.repo.patch(id, data)
async def delete(self, id: PyObjectId) -> bool:
"""Delete a document by primary key.
Args:
id (PyObjectId): Document identifier.
Returns:
bool: ``True`` when a document was deleted.
"""
return await self.repo.delete(id)
async def search(self, filter: dict | None = None, *args, **kwargs) -> list[Schema]:
"""List documents matching an optional filter.
Args:
filter (dict | None): Query filter passed to the repository.
Returns:
list[Schema]: Matching documents.
Notes:
Extra positional and keyword arguments are forwarded to the
repository.
"""
return await self.repo.get_many(filter=filter, *args, **kwargs)

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"""# Summary
Generic MongoDB CRUD repo — single implementation for all domains.
Select a concrete mongo-ops repository (base, cached, or populating) from the
options supplied to the factory.
"""
from typing import List, Optional, Type
from mongo_ops import BaseRepository, CachedBaseRepository, PopulatingRepository
from mongo_ops.cache import CacheBackend, CacheConfig
from mongo_ops.models import BaseDocument
from mongo_ops.populate import PopulationEngine, PopulateRule
def _repo_factory(
collection: str,
db_model: Type[BaseDocument],
cache_backend: Optional[CacheBackend] = None,
cache_config: Optional[CacheConfig] = None,
engine: Optional[PopulationEngine] = None,
populate_rules: Optional[List[PopulateRule]] = None,
) -> BaseRepository:
"""Build the appropriate mongo-ops repository.
Args:
collection (str): Collection name to operate on.
db_model (Type[BaseDocument]): Document model bound to the collection.
cache_backend (Optional[CacheBackend]): Cache backend enabling cached reads.
cache_config (Optional[CacheConfig]): Cache configuration for the backend.
engine (Optional[PopulationEngine]): Population engine for reference expansion.
populate_rules (Optional[List[PopulateRule]]): Rules applied by the engine.
Returns:
BaseRepository: Repository instance matching the supplied options.
"""
if engine and populate_rules is not None:
return PopulatingRepository(collection, db_model, engine, populate_rules)
elif cache_backend is not None:
return CachedBaseRepository(collection, db_model, cache_backend, cache_config)
else:
return BaseRepository(collection, db_model)

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"""# Summary
Database setup — connection lifecycle only. No domain imports.
Connect and disconnect the shared Mongo connection manager at application
startup and shutdown.
"""
from mongo_ops import MongoConnectionManager
async def setup_database(uri: str, db_name: str):
"""Connect the shared Mongo connection manager.
Args:
uri (str): Mongo connection URI.
db_name (str): Target database name.
"""
await MongoConnectionManager.connect(uri=uri, db_name=db_name)
async def shutdown_database():
"""Disconnect the shared Mongo connection manager."""
await MongoConnectionManager.disconnect()

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templates/app/init.py Normal file
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"""# Summary
Infrastructure initialization — connects MongoDB and wires all repos and services.
Shared bootstrap for both the FastAPI app and the worker, guarded against
repeated initialization via a module-level flag.
"""
from typing import Any, Dict
from config import settings
from domain.item.ports.db import create_item_repo
from domain.item.ports.service import get_item_service
from domain.job.ports.db import create_job_repo
from domain.job.ports.service import get_job_service
from infra.db.setup import setup_database, shutdown_database
_resources: Dict[str, Any] = {}
_initialized: bool = False
async def init() -> Dict[str, Any]:
"""Connect MongoDB, wire all repos and services, and return the resources dict.
Idempotent: repeated calls short-circuit and return the cached resources.
Returns:
Dict[str, Any]: Named services keyed by resource name.
"""
global _resources, _initialized
if _initialized:
return _resources
await setup_database(uri=settings.mongo_uri, db_name=settings.mongo_db)
item_repo = create_item_repo()
job_repo = create_job_repo()
_resources["item_repo"] = item_repo
_resources["job_repo"] = job_repo
_resources["item_svc"] = get_item_service(item_repo)
_resources["job_svc"] = get_job_service(job_repo)
_initialized = True
return _resources
async def shutdown() -> None:
"""Disconnect MongoDB and reset the resources cache."""
global _initialized
await shutdown_database()
_resources.clear()
_initialized = False

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"""# Summary
Item route handlers — names must match openapi.yaml operationIds.
"""
from fastapi import Request
from fastapi.responses import JSONResponse
from domain.item.models import Item
def svc(request: Request):
"""Resolve the item CRUD service from app state."""
return request.app.state.db_resources["item_svc"]
async def create_item(request: Request, body: dict):
"""Create an item from the request body."""
data = body.model_dump() if hasattr(body, "model_dump") else dict(body)
doc = await svc(request).create(Item(**data))
return JSONResponse(status_code=201, content=doc.model_dump(mode="json", by_alias=True))
async def get_item(request: Request, id: str):
"""Fetch one item by id."""
doc = await svc(request).read(id)
if doc is None:
return JSONResponse(status_code=404, content={"detail": "item not found"})
return doc.model_dump(mode="json", by_alias=True)
async def list_items(request: Request):
"""List all items."""
docs = await svc(request).search({})
return [d.model_dump(mode="json", by_alias=True) for d in docs]
async def delete_item(request: Request, id: str):
"""Delete one item by id."""
ok = await svc(request).delete(id)
if not ok:
return JSONResponse(status_code=404, content={"detail": "item not found"})
return {"deleted": True}

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"""# Summary
Job route handlers — names must match openapi.yaml operationIds.
"""
from fastapi import Request
from fastapi.responses import JSONResponse
from domain.job.models import Job
def svc(request: Request):
"""Resolve the job CRUD service from app state."""
return request.app.state.db_resources["job_svc"]
async def create_job(request: Request, body: dict):
"""Create a job from the request body."""
data = body.model_dump() if hasattr(body, "model_dump") else dict(body)
doc = await svc(request).create(Job(**data))
return JSONResponse(status_code=201, content=doc.model_dump(mode="json", by_alias=True))
async def get_job(request: Request, id: str):
"""Fetch one job by id."""
doc = await svc(request).read(id)
if doc is None:
return JSONResponse(status_code=404, content={"detail": "job not found"})
return doc.model_dump(mode="json", by_alias=True)
async def list_jobs(request: Request):
"""List all jobs."""
docs = await svc(request).search({})
return [d.model_dump(mode="json", by_alias=True) for d in docs]

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"""# Summary
All handler functions — names must match openapi.yaml operationId values. The
OpenAPI-first router resolves each operation to a handler by name, so this module
re-exports every route handler from the subpackages into one flat namespace.
"""
from interfaces.item.routes import *
from interfaces.job.routes import *

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"""# Summary
FastAPI application bootstrap — uses OpenAPIFirstApp for spec-driven routing.
Handlers are looked up by operationId in interfaces.openapi, so no router tables
are declared here; the lifespan initializes and shuts down app resources.
"""
import logging
from contextlib import asynccontextmanager
from dotenv import load_dotenv
from openapi_first.app import OpenAPIFirstApp
from starlette.middleware.cors import CORSMiddleware
from init import init, shutdown
load_dotenv()
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(name)s] %(levelname)s: %(message)s",
)
import interfaces.openapi as openapi_routes
logger = logging.getLogger(__name__)
@asynccontextmanager
async def lifespan(app: OpenAPIFirstApp):
"""Initialize resource wiring on startup and shut it down on exit.
Args:
app (OpenAPIFirstApp): The ASGI application exposing app.state.
Yields:
None: The application runs while the context is open.
"""
resources = await init()
app.state.db_resources = resources
yield
await shutdown()
app = OpenAPIFirstApp(
openapi_path="openapi.yaml",
routes_module=openapi_routes,
title="Item API",
version="0.1.0",
lifespan=lifespan,
)
app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])

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templates/app/openapi.yaml Normal file
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openapi: 3.0.3
info:
title: Item API
version: 0.1.0
paths:
/items:
get:
operationId: list_items
summary: List items
responses:
"200":
description: OK
content:
application/json:
schema:
type: array
items:
$ref: "#/components/schemas/Item"
post:
operationId: create_item
summary: Create an item
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/ItemInput"
responses:
"201":
description: Created
content:
application/json:
schema:
$ref: "#/components/schemas/Item"
/items/{id}:
get:
operationId: get_item
summary: Get an item
parameters:
- name: id
in: path
required: true
schema:
type: string
responses:
"200":
description: OK
content:
application/json:
schema:
$ref: "#/components/schemas/Item"
"404":
description: Not found
delete:
operationId: delete_item
summary: Delete an item
parameters:
- name: id
in: path
required: true
schema:
type: string
responses:
"200":
description: Deleted
"404":
description: Not found
/jobs:
get:
operationId: list_jobs
summary: List jobs
responses:
"200":
description: OK
content:
application/json:
schema:
type: array
items:
$ref: "#/components/schemas/Job"
post:
operationId: create_job
summary: Create a job
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/JobInput"
responses:
"201":
description: Created
content:
application/json:
schema:
$ref: "#/components/schemas/Job"
/jobs/{id}:
get:
operationId: get_job
summary: Get a job
parameters:
- name: id
in: path
required: true
schema:
type: string
responses:
"200":
description: OK
content:
application/json:
schema:
$ref: "#/components/schemas/Job"
"404":
description: Not found
components:
schemas:
Item:
type: object
required: [name, quantity]
properties:
id:
type: string
name:
type: string
quantity:
type: integer
ItemInput:
type: object
required: [name]
properties:
name:
type: string
quantity:
type: integer
default: 1
Job:
type: object
required: [name, status]
properties:
id:
type: string
name:
type: string
status:
type: string
enum: [pending, processing, done, failed]
retry_count:
type: integer
error_message:
type: string
payload:
type: object
JobInput:
type: object
required: [name]
properties:
name:
type: string
payload:
type: object

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"""# Summary
Item-sync pipeline — the demo pipeline axis of the blueprint.
Runs on the worker, consumes a pending job, and materializes its payload as an
item. Steps are plain async functions here; once the chain branches or needs
deterministic replay, wrap the steps in a dagpipe DAG (see standards
"06_pipeline_scaffold").
"""
import logging
logger = logging.getLogger(__name__)
async def run_item_sync(job, resources: dict) -> None:
"""Materialize a pending job payload as an item.
Step 1: extract the payload from the job.
Step 2: create the item through the item service.
Args:
job: The pending job document.
resources (dict): Wired services and adaptors.
"""
payload = job.payload or {}
item_svc = resources["item_svc"]
await item_svc.create({
"name": payload.get("name", job.name),
"quantity": payload.get("quantity", 1),
})
logger.info("Created item from job %s", str(job.id))

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[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "app-template"
version = "0.1.0"
requires-python = ">=3.11"
dependencies = [
"fastapi",
"uvicorn[standard]",
"pydantic>=2",
"motor",
"python-dotenv",
"openapi-first",
"mongo-ops",
"hexa",
"dagpipe",
]
[project.optional-dependencies]
dev = [
"pytest",
"pytest-asyncio",
"httpx",
"ruff",
"doc-forge",
]
[tool.setuptools.packages.find]
where = ["."]
include = ["domain*", "infra*", "interfaces*", "pipelines*"]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
[tool.ruff]
line-length = 100
target-version = "py311"
[tool.ruff.lint]
select = ["E", "F", "I", "UP"]

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import importlib
import interfaces.openapi as routes_module
from openapi_first.app import OpenAPIFirstApp
def test_openapi_app_builds():
"""The spec-first app must build and plant each route handler."""
module = importlib.import_module(routes_module.__name__)
for operation in ("create_item", "get_item", "list_items", "delete_item",
"create_job", "get_job", "list_jobs"):
assert hasattr(module, operation)
app = OpenAPIFirstApp(
openapi_path="openapi.yaml",
routes_module=module,
title="Item API",
version="0.1.0",
)
assert app is not None

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from domain.item.models import Item
from domain.job.models import Job
def test_item_defaults():
item = Item(name="widget")
assert item.quantity == 1
def test_job_defaults():
job = Job(name="sync")
assert job.status == "pending"
assert job.retry_count == 0
assert job.error_message is None
def test_job_rejects_unknown_status():
try:
Job(name="sync", status="exploded")
except Exception:
return
raise AssertionError("status should be rejected")

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from types import SimpleNamespace
from pipelines.item_sync import run_item_sync
class FakeItemSvc:
def __init__(self):
self.created = []
async def create(self, data: dict):
self.created.append(dict(data))
async def test_run_item_sync_creates_item():
svc = FakeItemSvc()
job = SimpleNamespace(id="j1", name="widget", payload={"quantity": 4})
await run_item_sync(job, {"item_svc": svc})
assert len(svc.created) == 1
assert svc.created[0] == {"name": "widget", "quantity": 4}
async def test_run_item_sync_uses_payload_name():
svc = FakeItemSvc()
job = SimpleNamespace(id="j1", name="ignored", payload={"name": "gadget"})
await run_item_sync(job, {"item_svc": svc})
assert svc.created[0]["name"] == "gadget"

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"""# Summary
Background worker — polls for pending jobs and runs the item-sync pipeline.
The poll loop is the pipeline axis of the blueprint: resources are created by
the API axis, workers consume them on a fixed cadence.
Notes:
- This process is separate from the API process. Any in-memory event bus is per
process — if the pipeline must surface live progress to the API, swap the bus
adaptor for a broker-backed one (see standards 07_worker_and_progress).
"""
import asyncio
import logging
from config import settings
from pipelines.item_sync import run_item_sync
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(name)s] %(levelname)s: %(message)s",
)
logger = logging.getLogger(__name__)
async def poll_jobs(resources: dict):
"""Poll for pending jobs and run the item-sync pipeline on each.
Args:
resources (dict): Wired services from :func:`init.init`.
"""
job_svc = resources["job_svc"]
logger.info("WORKER STARTED — poll=%ss max_retries=%d",
settings.worker_poll_seconds, settings.worker_max_retries)
while True:
pending = await job_svc.search(filter={"status": "pending"}, limit=10)
logger.info("Found %d pending job(s)", len(pending) if pending else 0)
for job in pending:
job_id = str(job.id)
if (job.retry_count or 0) >= settings.worker_max_retries:
logger.warning("SKIPPING job %s — retries exhausted", job_id)
continue
await job_svc.patch(job_id, {"status": "processing"})
try:
await run_item_sync(job, resources)
await job_svc.patch(job_id, {"status": "done", "error_message": ""})
except Exception as exc: # noqa: BLE001
logger.exception("job %s FAILED: %s", job_id, exc)
await job_svc.patch(job_id, {"status": "failed", "error_message": str(exc)})
await asyncio.sleep(settings.worker_poll_seconds)
if __name__ == "__main__":
from init import init, shutdown
async def _run():
resources = await init()
try:
await poll_jobs(resources)
finally:
await shutdown()
asyncio.run(_run())