FastRAMQPI


NameFastRAMQPI JSON
Version 12.4.1 PyPI version JSON
download
home_pagehttps://magenta.dk/
SummaryRammearkitektur integrations framework
upload_time2025-08-19 09:16:04
maintainerNone
docs_urlNone
authorMagenta ApS
requires_python<4.0,>=3.11
licenseMPL-2.0
keywords os2mo
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <!--
SPDX-FileCopyrightText: 2021 Magenta ApS <https://magenta.dk>
SPDX-License-Identifier: MPL-2.0
-->

# FastRAMQPI

FastRAMQPI is an opinionated library for OS2mo integrations.


## Usage

```python
from uuid import UUID

from fastapi import APIRouter
from fastapi import FastAPI
from pydantic import BaseSettings

from fastramqpi.config import Settings as FastRAMQPISettings
from fastramqpi.events import Event
from fastramqpi.events import GraphQLEvents
from fastramqpi.events import Listener
from fastramqpi.main import FastRAMQPI


class Settings(BaseSettings):
    class Config:
        frozen = True
        env_nested_delimiter = "__"

    fastramqpi: FastRAMQPISettings


router = APIRouter()


@router.post("/events/person")
async def person(event: Event[UUID]) -> None:
    print("Received event", event.subject)


def create_fastramqpi() -> FastRAMQPI:
    settings = Settings()
    fastramqpi = FastRAMQPI(
        application_name="os2mo-example-integration",
        settings=settings.fastramqpi,
        graphql_version=25,
        graphql_events=GraphQLEvents(
            declare_listeners=[
                Listener(
                    namespace="mo",
                    user_key="my-listener",
                    routing_key="person",
                    path="/events/person",
                ),
            ],
        )
    )
    fastramqpi.add_context(settings=settings)

    # Add our HTTP router(s)
    app = fastramqpi.get_app()
    app.include_router(router)

    return fastramqpi


def create_app() -> FastAPI:
    fastramqpi = create_fastramqpi()
    return fastramqpi.get_app()
```

**NOTE:** Use `Event[Json[MySubject]]` if your application sends and receives
JSON as the event subject to ensure the string is deserialised correctly.

### Metrics
FastRAMQPI Metrics are exported via `prometheus/client_python` on the FastAPI's `/metrics`.


### Debugging
FastRAMQPI ships with support for debugging via [DAP](https://microsoft.github.io/debug-adapter-protocol/).
To enable it set the `DAP` environmental variable to true, and expose the debugging port (5678).

For instance in a `docker-compose.yaml` file, by merging in:
```yaml
version: "3"
services:
  mo_ldap_import_export:
    environment:
      DAP: "true"
    ports:
      - "127.0.0.0:5678:5678"
```

For ease of use, this should be the default for projects using FastRAMQPI.
## Autogenerated GraphQL Client
FastRAMQPI exposes an
[authenticated httpx client](https://docs.authlib.org/en/latest/client/api.html#authlib.integrations.httpx_client.AsyncOAuth2Client)
through the dependency injection system. While it is possible to call the OS2mo
API directly through it, the recommended approach is to define a properly-typed
GraphQL client in the integration and configure it to make calls through the
authenticated client. Instead of manually implementing such client, we strongly
recommend to use the
[**Ariadne Code Generator**](https://github.com/mirumee/ariadne-codegen), which
generates an integration-specific client based on the general OS2mo GraphQL
schema and the exact queries and mutations the integration requires.

To integrate such client, first add and configure the codegen:
```toml
# pyproject.toml

[tool.poetry.group.dev.dependencies]
ariadne-codegen = "0.13.0"

[tool.ariadne-codegen]
# The default package name is `graphql_client`. Make it more obvious that the
# files are not to be modified manually.
target_package_name = "autogenerated_graphql_client"
target_package_path = "my_integration/"
client_name = "GraphQLClient"
schema_path = "schema.graphql"  # curl -O http://localhost:5000/graphql/v8/schema.graphql
queries_path = "queries.graphql"
include_all_inputs = false
include_all_enums = false
include_comments = false
plugins = [
    # Return values directly when only a single top field is requested
    "ariadne_codegen.contrib.shorter_results.ShorterResultsPlugin",
    # Add UNSET and UnsetType to generated input types
    "fastramqpi.ariadne.UnsetInputTypesPlugin",
]
[tool.ariadne-codegen.scalars.DateTime]
type = "datetime.datetime"
parse = "fastramqpi.ariadne.parse_graphql_datetime"
[tool.ariadne-codegen.scalars.UUID]
type = "uuid.UUID"
```
Where you replace `"my_integration/"` with the path to your integration.

Grab OS2mo's GraphQL schema:
```bash
curl -O http://localhost:5000/graphql/v20/schema.graphql
```
Define your queries:
```gql
# queries.graphql

# SPDX-FileCopyrightText: Magenta ApS <https://magenta.dk>
# SPDX-License-Identifier: MPL-2.0

query Version {
  version {
    mo_version
    mo_hash
  }
}
```
Generate the client - you may have to activate some virtual environment:
```bash
ariadne-codegen
```
The client class is passed to FastRAMQPI on startup as shown below. This will
ensure it is automatically opened and closed and configured with
authentication. **NOTE: remember to update the `graphql_version` when you
generate against a new schema version**.

```python
# app.py
from autogenerated_graphql_client import GraphQLClient


def create_app(**kwargs: Any) -> FastAPI:
    fastramqpi = FastRAMQPI(
        ...,
        graphql_version=20,
        graphql_client_cls=GraphQLClient,
    )
```
The FastRAMQPI framework cannot define the annotated type for the GraphQL client
since its methods depend on the specific queries required by the integration.
Therefore, each implementing integration needs to define their own:
```python
# depends.py
from typing import Annotated

from fastapi import Depends
from fastramqpi.ramqp.depends import from_context

from my_integration.autogenerated_graphql_client import GraphQLClient as _GraphQLClient

GraphQLClient = Annotated[_GraphQLClient, Depends(from_context("graphql_client"))]
```
Finally, we can define our HTTP handler to use the GraphQL client:
```python
from . import depends


@router.post("/events/person")
async def handler(mo: depends.GraphQLClient) -> None:
    version = await mo.version()
    print(version)
```

To get REUSE working, you might consider adding the following to `.reuse/dep5`:
```text
Files: my_integration/autogenerated_graphql_client/*
Copyright: Magenta ApS <https://magenta.dk>
License: MPL-2.0
```


## Database
If your integration requires access to a database, set it up as so:
`compose.yaml`:
```yaml
services:
  my_integration:
    environment:
      FASTRAMQPI__DATABASE__USER: "fastramqpi"
      FASTRAMQPI__DATABASE__PASSWORD: "fastramqpi"
      FASTRAMQPI__DATABASE__HOST: "db"
      FASTRAMQPI__DATABASE__NAME: "fastramqpi"
  db:
    image: postgres:16
    environment:
      POSTGRES_USER: "fastramqpi"
      POSTGRES_PASSWORD: "fastramqpi"
      POSTGRES_DB: "fastramqpi"
```

`my_integration/database.py`:
```python
from sqlalchemy.orm import DeclarativeBase
from sqlalchemy.orm import Mapped
from sqlalchemy.orm import mapped_column


class Base(DeclarativeBase):
    pass


class User(Base):
    __tablename__ = "user"

    id: Mapped[int] = mapped_column(primary_key=True)
    name: Mapped[str]
```

Due to budgetary constraints FastRAMQPI does not yet facilitate database
migrations through alembic. Instead, all defined tables are created on startup.
For technical reasons, this requires us to pass the `DeclarativeBase` from
above to the FastRAMQPI constructor in `app.py` as so:
```python
from my_integration.database import Base


fastramqpi = FastRAMQPI(
    application_name="os2mo-example-integration",
    settings=settings.fastramqpi,
    ...
    database_metadata=Base.metadata,
)
```

The database can be used in a handler as follows:
```python
from fastramqpi import depends
from my_integration.database import User


@router.post("/events/person")
async def add(session: depends.Session) -> None:
    session.add(User(name="Alice"))
```


## Integration Testing
The goal of integration testing in our context is to minimise the amount of
mocking and patching by testing the integration's behavior against a running
OS2mo instance in a way that resembles a production environment as much as
possible. To this end, the integration is configured for testing through its
public interface -- environment variables -- in `.gitlab-ci.yml` wherever
possible. The flow of each test follows the well-known "Arrange, Act and
Assert" pattern, but with a sleight modification to avoid hooking into either
OS2mo or the integration itself, and endure the nature of eventual consistency
that is unavoidable with an event-based system.

To get started, add OS2mo's [GitLab CI template](https://git.magenta.dk/rammearkitektur/os2mo/-/blob/master/gitlab-ci-templates/integration-test-meta.v1.yml)
to `.gitlab-ci.yml`:
```yaml
include:
  - project: rammearkitektur/os2mo
    file:
      - gitlab-ci-templates/integration-test-meta.v1.yml

...

Test:
  variables:
    PYTEST_ADDOPTS: "-m 'not integration_test'"

Integration-test:
  extends:
    - .integration-test:mo
  variables:
    MY_INTEGRATION__FOO: "true"
```

The `Integration-test` CI job starts a full OS2mo stack, including all
necessary services, and then runs all tests marked with `integration_test`.
[Auto-used fixtures](fastramqpi/pytest_plugin.py) automatically ensure test
isolation in OS2mo's database, increase the event interval, and
configure `respx` appropriately. By default, the `Test` job runs all tests in
the project, including both unit- and integration-tests. We overwrite the
`Test` CI job to exclude integration tests -- the `Integration-test` job
already only runs integration tests by default.

Moving on, some boilerplate needs to be copied since a few types cannot be
known a priori:

```python
# tests/integration/conftest.py
from collections.abc import AsyncIterator
from typing import cast

import pytest
from fastapi import FastAPI
from httpx import AsyncClient
from pytest import MonkeyPatch

from my_integration.app import create_app
from my_integration.autogenerated_graphql_client import GraphQLClient


@pytest.fixture
async def app(monkeypatch: MonkeyPatch) -> FastAPI:
    monkeypatch.setenv("SOME_CONFIG", "http://example.org")

    app = create_app()
    return app


@pytest.fixture
async def graphql_client(mo_client: AsyncClient) -> AsyncIterator[GraphQLClient]:
    """Authenticated GraphQL codegen client for OS2mo."""
    graphql_client = GraphQLClient(
        url=f"{mo_client.base_url}/graphql/v25",
        http_client=mo_client,
    )
    async with graphql_client as client:
        yield client
```

To make async tests and fixtures work, and avoid having to
`@pytest.mark.asyncio` each test individually, the following must be added to
`pyproject.toml`:
```toml
[tool.pytest.ini_options]
asyncio_mode="auto"
```

A sample integration test could be as follows:

```python
# tests/integration/test_my_integration.py
import pytest
from fastramqpi.pytest_util import retry
from httpx import AsyncClient
from more_itertools import one

from my_integration.autogenerated_graphql_client import GraphQLClient


@pytest.mark.integration_test
async def test_create_person(
    test_client: AsyncClient,
    graphql_client: GraphQLClient,
) -> None:
    # Precondition: The person does not already exist.
    # The auto-use fixtures should automatically ensure test isolation, but
    # sometimes, especially during local development, we might be a little too
    # fast on the ^C^C^C^C^C so pytest doesn't get a chance to clean up.
    cpr_number = "0711909893"
    employee = await graphql_client._testing__get_employee(cpr_number)
    assert employee.objects == []

    # The integration needs to be triggered to create the employee. How this is
    # done depends on the integration. We assume a /trigger/ endpoint here:
    test_client.post("/trigger")

    @retry()
    async def verify() -> None:
        employees = await graphql_client._testing__get_employee(cpr_number)
        employee_states = one(employees.objects)
        employee = one(employee_states.objects)
        assert employee.cpr_number == cpr_number
        assert employee.given_name == "Alice"

    await verify()
```
Alternatively the `verify` step of the test can also be written as:
```python
    async for attempt in retrying():
        with attempt:
            employees = await graphql_client._testing__get_employee(cpr_number)
            employee_states = one(employees.objects)
            employee = one(employee_states.objects)
            assert employee.cpr_number == cpr_number
            assert employee.given_name == "Alice"
```
Using `fastramqpi.pytest_util.retrying`.

Through the use of the `test_client` fixture, the test begins by starting the
integration, including initialising any associated lifecyles. We sanity-check,
to ensure the test isn't trivially passing, and trigger the integration. Due to
the nature of event-driven architecture, we don't know how long the integration
will need to reconcile the state of OS2mo or an external system. Therefore, all
asserts which depend on eventual consistent state, are wrapped in a function
with `@retry` from FastRAMQPI's `pytest_util`. This allows the assertions to
fail and be retried up to 30 seconds, before the test fails.

To keep tests clear and concise, all GraphQL queries, which are required to
arrange and assert in the test, are added to the [autogenerated GraphQL client](#autogenerated-graphql-client),
using a `_testing__` prefix by convention:
```graphql
# queries.graphql
query _Testing_GetEmployee($cpr_number: CPR!) {
  employees(filter: {cpr_numbers: [$cpr_number]}) {
    objects {
      objects {
        cpr_number
        given_name
      }
    }
  }
}
```

### Overriding OS2mo-init
It is possible to specific a custom [OS2mo-init](https://git.magenta.dk/rammearkitektur/os2mo-init)
configuration by setting the `OS2MO_INIT_CONFIG` variable at the top of the
project's `.gitlab-ci.yml` and declaring a `init.config.yml`:
```yaml
# .gitlab-ci.yml
variables:
  OS2MO_INIT_CONFIG: "/builds/$CI_PROJECT_PATH/init.config.yml"

# init.config.yml
facets:
  org_unit_address_type: {}
  manager_address_type: {}
  address_property: {}
  engagement_job_function: {}
  org_unit_type: {}
  engagement_type:
    qa_engineer:
      title: "Software Integration Tester"
      scope: "TEXT"
  association_type: {}
  role_type: {}
  leave_type: {}
  manager_type: {}
  responsibility: {}
  manager_level: {}
  visibility: {}
  time_planning: {}
  org_unit_level: {}
  primary_type: {}
  org_unit_hierarchy: {}
  kle_number: {}
  kle_aspect: {}

it_systems:
  FOOBAR: "The Foo Bar"
```

### Debugging
By default, only logs generated by the application are captured and output in
the GitLab interface. Service logs (OS2mo, OS2mo-init, Keycloak, etc.) can be
captured for debugging by adding the following to the project's
`.gitlab-ci.yml` file:
```yaml
variables:
  CI_DEBUG_SERVICES: "true"
```
This is especially useful if a service fails to start (`Waiting for keycloak
realm builder...`). See the [GitLab
documentation](https://docs.gitlab.com/ee/ci/services/#capturing-service-container-logs)
for more information.


## Development

### Prerequisites

- [Poetry](https://github.com/python-poetry/poetry)

### Getting Started

1. Clone the repository:
```
git clone git@git.magenta.dk:rammearkitektur/FastRAMQPI.git
```

2. Install all dependencies:
```
poetry install
```

3. Set up pre-commit:
```
poetry run pre-commit install
```

### Running the tests

You use `poetry` and `pytest` to run the tests:

`poetry run pytest`

You can also run specific files

`poetry run pytest tests/<test_folder>/<test_file.py>`

and even use filtering with `-k`

`poetry run pytest -k "Manager"`

You can use the flags `-vx` where `v` prints the test & `x` makes the test stop if any tests fails (Verbose, X-fail)

## Authors

Magenta ApS <https://magenta.dk>

## License

This project uses: [MPL-2.0](LICENSES/MPL-2.0.txt)

This project uses [REUSE](https://reuse.software) for licensing.
All licenses can be found in the [LICENSES folder](LICENSES/) of the project.

            

Raw data

            {
    "_id": null,
    "home_page": "https://magenta.dk/",
    "name": "FastRAMQPI",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.11",
    "maintainer_email": null,
    "keywords": "os2mo",
    "author": "Magenta ApS",
    "author_email": "info@magenta.dk",
    "download_url": "https://files.pythonhosted.org/packages/ae/9a/e57e32d33992b8ef0f20790d9f853b0fcdd32b9b1ef33f2eb7cd8838c1d4/fastramqpi-12.4.1.tar.gz",
    "platform": null,
    "description": "<!--\nSPDX-FileCopyrightText: 2021 Magenta ApS <https://magenta.dk>\nSPDX-License-Identifier: MPL-2.0\n-->\n\n# FastRAMQPI\n\nFastRAMQPI is an opinionated library for OS2mo integrations.\n\n\n## Usage\n\n```python\nfrom uuid import UUID\n\nfrom fastapi import APIRouter\nfrom fastapi import FastAPI\nfrom pydantic import BaseSettings\n\nfrom fastramqpi.config import Settings as FastRAMQPISettings\nfrom fastramqpi.events import Event\nfrom fastramqpi.events import GraphQLEvents\nfrom fastramqpi.events import Listener\nfrom fastramqpi.main import FastRAMQPI\n\n\nclass Settings(BaseSettings):\n    class Config:\n        frozen = True\n        env_nested_delimiter = \"__\"\n\n    fastramqpi: FastRAMQPISettings\n\n\nrouter = APIRouter()\n\n\n@router.post(\"/events/person\")\nasync def person(event: Event[UUID]) -> None:\n    print(\"Received event\", event.subject)\n\n\ndef create_fastramqpi() -> FastRAMQPI:\n    settings = Settings()\n    fastramqpi = FastRAMQPI(\n        application_name=\"os2mo-example-integration\",\n        settings=settings.fastramqpi,\n        graphql_version=25,\n        graphql_events=GraphQLEvents(\n            declare_listeners=[\n                Listener(\n                    namespace=\"mo\",\n                    user_key=\"my-listener\",\n                    routing_key=\"person\",\n                    path=\"/events/person\",\n                ),\n            ],\n        )\n    )\n    fastramqpi.add_context(settings=settings)\n\n    # Add our HTTP router(s)\n    app = fastramqpi.get_app()\n    app.include_router(router)\n\n    return fastramqpi\n\n\ndef create_app() -> FastAPI:\n    fastramqpi = create_fastramqpi()\n    return fastramqpi.get_app()\n```\n\n**NOTE:** Use `Event[Json[MySubject]]` if your application sends and receives\nJSON as the event subject to ensure the string is deserialised correctly.\n\n### Metrics\nFastRAMQPI Metrics are exported via `prometheus/client_python` on the FastAPI's `/metrics`.\n\n\n### Debugging\nFastRAMQPI ships with support for debugging via [DAP](https://microsoft.github.io/debug-adapter-protocol/).\nTo enable it set the `DAP` environmental variable to true, and expose the debugging port (5678).\n\nFor instance in a `docker-compose.yaml` file, by merging in:\n```yaml\nversion: \"3\"\nservices:\n  mo_ldap_import_export:\n    environment:\n      DAP: \"true\"\n    ports:\n      - \"127.0.0.0:5678:5678\"\n```\n\nFor ease of use, this should be the default for projects using FastRAMQPI.\n## Autogenerated GraphQL Client\nFastRAMQPI exposes an\n[authenticated httpx client](https://docs.authlib.org/en/latest/client/api.html#authlib.integrations.httpx_client.AsyncOAuth2Client)\nthrough the dependency injection system. While it is possible to call the OS2mo\nAPI directly through it, the recommended approach is to define a properly-typed\nGraphQL client in the integration and configure it to make calls through the\nauthenticated client. Instead of manually implementing such client, we strongly\nrecommend to use the\n[**Ariadne Code Generator**](https://github.com/mirumee/ariadne-codegen), which\ngenerates an integration-specific client based on the general OS2mo GraphQL\nschema and the exact queries and mutations the integration requires.\n\nTo integrate such client, first add and configure the codegen:\n```toml\n# pyproject.toml\n\n[tool.poetry.group.dev.dependencies]\nariadne-codegen = \"0.13.0\"\n\n[tool.ariadne-codegen]\n# The default package name is `graphql_client`. Make it more obvious that the\n# files are not to be modified manually.\ntarget_package_name = \"autogenerated_graphql_client\"\ntarget_package_path = \"my_integration/\"\nclient_name = \"GraphQLClient\"\nschema_path = \"schema.graphql\"  # curl -O http://localhost:5000/graphql/v8/schema.graphql\nqueries_path = \"queries.graphql\"\ninclude_all_inputs = false\ninclude_all_enums = false\ninclude_comments = false\nplugins = [\n    # Return values directly when only a single top field is requested\n    \"ariadne_codegen.contrib.shorter_results.ShorterResultsPlugin\",\n    # Add UNSET and UnsetType to generated input types\n    \"fastramqpi.ariadne.UnsetInputTypesPlugin\",\n]\n[tool.ariadne-codegen.scalars.DateTime]\ntype = \"datetime.datetime\"\nparse = \"fastramqpi.ariadne.parse_graphql_datetime\"\n[tool.ariadne-codegen.scalars.UUID]\ntype = \"uuid.UUID\"\n```\nWhere you replace `\"my_integration/\"` with the path to your integration.\n\nGrab OS2mo's GraphQL schema:\n```bash\ncurl -O http://localhost:5000/graphql/v20/schema.graphql\n```\nDefine your queries:\n```gql\n# queries.graphql\n\n# SPDX-FileCopyrightText: Magenta ApS <https://magenta.dk>\n# SPDX-License-Identifier: MPL-2.0\n\nquery Version {\n  version {\n    mo_version\n    mo_hash\n  }\n}\n```\nGenerate the client - you may have to activate some virtual environment:\n```bash\nariadne-codegen\n```\nThe client class is passed to FastRAMQPI on startup as shown below. This will\nensure it is automatically opened and closed and configured with\nauthentication. **NOTE: remember to update the `graphql_version` when you\ngenerate against a new schema version**.\n\n```python\n# app.py\nfrom autogenerated_graphql_client import GraphQLClient\n\n\ndef create_app(**kwargs: Any) -> FastAPI:\n    fastramqpi = FastRAMQPI(\n        ...,\n        graphql_version=20,\n        graphql_client_cls=GraphQLClient,\n    )\n```\nThe FastRAMQPI framework cannot define the annotated type for the GraphQL client\nsince its methods depend on the specific queries required by the integration.\nTherefore, each implementing integration needs to define their own:\n```python\n# depends.py\nfrom typing import Annotated\n\nfrom fastapi import Depends\nfrom fastramqpi.ramqp.depends import from_context\n\nfrom my_integration.autogenerated_graphql_client import GraphQLClient as _GraphQLClient\n\nGraphQLClient = Annotated[_GraphQLClient, Depends(from_context(\"graphql_client\"))]\n```\nFinally, we can define our HTTP handler to use the GraphQL client:\n```python\nfrom . import depends\n\n\n@router.post(\"/events/person\")\nasync def handler(mo: depends.GraphQLClient) -> None:\n    version = await mo.version()\n    print(version)\n```\n\nTo get REUSE working, you might consider adding the following to `.reuse/dep5`:\n```text\nFiles: my_integration/autogenerated_graphql_client/*\nCopyright: Magenta ApS <https://magenta.dk>\nLicense: MPL-2.0\n```\n\n\n## Database\nIf your integration requires access to a database, set it up as so:\n`compose.yaml`:\n```yaml\nservices:\n  my_integration:\n    environment:\n      FASTRAMQPI__DATABASE__USER: \"fastramqpi\"\n      FASTRAMQPI__DATABASE__PASSWORD: \"fastramqpi\"\n      FASTRAMQPI__DATABASE__HOST: \"db\"\n      FASTRAMQPI__DATABASE__NAME: \"fastramqpi\"\n  db:\n    image: postgres:16\n    environment:\n      POSTGRES_USER: \"fastramqpi\"\n      POSTGRES_PASSWORD: \"fastramqpi\"\n      POSTGRES_DB: \"fastramqpi\"\n```\n\n`my_integration/database.py`:\n```python\nfrom sqlalchemy.orm import DeclarativeBase\nfrom sqlalchemy.orm import Mapped\nfrom sqlalchemy.orm import mapped_column\n\n\nclass Base(DeclarativeBase):\n    pass\n\n\nclass User(Base):\n    __tablename__ = \"user\"\n\n    id: Mapped[int] = mapped_column(primary_key=True)\n    name: Mapped[str]\n```\n\nDue to budgetary constraints FastRAMQPI does not yet facilitate database\nmigrations through alembic. Instead, all defined tables are created on startup.\nFor technical reasons, this requires us to pass the `DeclarativeBase` from\nabove to the FastRAMQPI constructor in `app.py` as so:\n```python\nfrom my_integration.database import Base\n\n\nfastramqpi = FastRAMQPI(\n    application_name=\"os2mo-example-integration\",\n    settings=settings.fastramqpi,\n    ...\n    database_metadata=Base.metadata,\n)\n```\n\nThe database can be used in a handler as follows:\n```python\nfrom fastramqpi import depends\nfrom my_integration.database import User\n\n\n@router.post(\"/events/person\")\nasync def add(session: depends.Session) -> None:\n    session.add(User(name=\"Alice\"))\n```\n\n\n## Integration Testing\nThe goal of integration testing in our context is to minimise the amount of\nmocking and patching by testing the integration's behavior against a running\nOS2mo instance in a way that resembles a production environment as much as\npossible. To this end, the integration is configured for testing through its\npublic interface -- environment variables -- in `.gitlab-ci.yml` wherever\npossible. The flow of each test follows the well-known \"Arrange, Act and\nAssert\" pattern, but with a sleight modification to avoid hooking into either\nOS2mo or the integration itself, and endure the nature of eventual consistency\nthat is unavoidable with an event-based system.\n\nTo get started, add OS2mo's [GitLab CI template](https://git.magenta.dk/rammearkitektur/os2mo/-/blob/master/gitlab-ci-templates/integration-test-meta.v1.yml)\nto `.gitlab-ci.yml`:\n```yaml\ninclude:\n  - project: rammearkitektur/os2mo\n    file:\n      - gitlab-ci-templates/integration-test-meta.v1.yml\n\n...\n\nTest:\n  variables:\n    PYTEST_ADDOPTS: \"-m 'not integration_test'\"\n\nIntegration-test:\n  extends:\n    - .integration-test:mo\n  variables:\n    MY_INTEGRATION__FOO: \"true\"\n```\n\nThe `Integration-test` CI job starts a full OS2mo stack, including all\nnecessary services, and then runs all tests marked with `integration_test`.\n[Auto-used fixtures](fastramqpi/pytest_plugin.py) automatically ensure test\nisolation in OS2mo's database, increase the event interval, and\nconfigure `respx` appropriately. By default, the `Test` job runs all tests in\nthe project, including both unit- and integration-tests. We overwrite the\n`Test` CI job to exclude integration tests -- the `Integration-test` job\nalready only runs integration tests by default.\n\nMoving on, some boilerplate needs to be copied since a few types cannot be\nknown a priori:\n\n```python\n# tests/integration/conftest.py\nfrom collections.abc import AsyncIterator\nfrom typing import cast\n\nimport pytest\nfrom fastapi import FastAPI\nfrom httpx import AsyncClient\nfrom pytest import MonkeyPatch\n\nfrom my_integration.app import create_app\nfrom my_integration.autogenerated_graphql_client import GraphQLClient\n\n\n@pytest.fixture\nasync def app(monkeypatch: MonkeyPatch) -> FastAPI:\n    monkeypatch.setenv(\"SOME_CONFIG\", \"http://example.org\")\n\n    app = create_app()\n    return app\n\n\n@pytest.fixture\nasync def graphql_client(mo_client: AsyncClient) -> AsyncIterator[GraphQLClient]:\n    \"\"\"Authenticated GraphQL codegen client for OS2mo.\"\"\"\n    graphql_client = GraphQLClient(\n        url=f\"{mo_client.base_url}/graphql/v25\",\n        http_client=mo_client,\n    )\n    async with graphql_client as client:\n        yield client\n```\n\nTo make async tests and fixtures work, and avoid having to\n`@pytest.mark.asyncio` each test individually, the following must be added to\n`pyproject.toml`:\n```toml\n[tool.pytest.ini_options]\nasyncio_mode=\"auto\"\n```\n\nA sample integration test could be as follows:\n\n```python\n# tests/integration/test_my_integration.py\nimport pytest\nfrom fastramqpi.pytest_util import retry\nfrom httpx import AsyncClient\nfrom more_itertools import one\n\nfrom my_integration.autogenerated_graphql_client import GraphQLClient\n\n\n@pytest.mark.integration_test\nasync def test_create_person(\n    test_client: AsyncClient,\n    graphql_client: GraphQLClient,\n) -> None:\n    # Precondition: The person does not already exist.\n    # The auto-use fixtures should automatically ensure test isolation, but\n    # sometimes, especially during local development, we might be a little too\n    # fast on the ^C^C^C^C^C so pytest doesn't get a chance to clean up.\n    cpr_number = \"0711909893\"\n    employee = await graphql_client._testing__get_employee(cpr_number)\n    assert employee.objects == []\n\n    # The integration needs to be triggered to create the employee. How this is\n    # done depends on the integration. We assume a /trigger/ endpoint here:\n    test_client.post(\"/trigger\")\n\n    @retry()\n    async def verify() -> None:\n        employees = await graphql_client._testing__get_employee(cpr_number)\n        employee_states = one(employees.objects)\n        employee = one(employee_states.objects)\n        assert employee.cpr_number == cpr_number\n        assert employee.given_name == \"Alice\"\n\n    await verify()\n```\nAlternatively the `verify` step of the test can also be written as:\n```python\n    async for attempt in retrying():\n        with attempt:\n            employees = await graphql_client._testing__get_employee(cpr_number)\n            employee_states = one(employees.objects)\n            employee = one(employee_states.objects)\n            assert employee.cpr_number == cpr_number\n            assert employee.given_name == \"Alice\"\n```\nUsing `fastramqpi.pytest_util.retrying`.\n\nThrough the use of the `test_client` fixture, the test begins by starting the\nintegration, including initialising any associated lifecyles. We sanity-check,\nto ensure the test isn't trivially passing, and trigger the integration. Due to\nthe nature of event-driven architecture, we don't know how long the integration\nwill need to reconcile the state of OS2mo or an external system. Therefore, all\nasserts which depend on eventual consistent state, are wrapped in a function\nwith `@retry` from FastRAMQPI's `pytest_util`. This allows the assertions to\nfail and be retried up to 30 seconds, before the test fails.\n\nTo keep tests clear and concise, all GraphQL queries, which are required to\narrange and assert in the test, are added to the [autogenerated GraphQL client](#autogenerated-graphql-client),\nusing a `_testing__` prefix by convention:\n```graphql\n# queries.graphql\nquery _Testing_GetEmployee($cpr_number: CPR!) {\n  employees(filter: {cpr_numbers: [$cpr_number]}) {\n    objects {\n      objects {\n        cpr_number\n        given_name\n      }\n    }\n  }\n}\n```\n\n### Overriding OS2mo-init\nIt is possible to specific a custom [OS2mo-init](https://git.magenta.dk/rammearkitektur/os2mo-init)\nconfiguration by setting the `OS2MO_INIT_CONFIG` variable at the top of the\nproject's `.gitlab-ci.yml` and declaring a `init.config.yml`:\n```yaml\n# .gitlab-ci.yml\nvariables:\n  OS2MO_INIT_CONFIG: \"/builds/$CI_PROJECT_PATH/init.config.yml\"\n\n# init.config.yml\nfacets:\n  org_unit_address_type: {}\n  manager_address_type: {}\n  address_property: {}\n  engagement_job_function: {}\n  org_unit_type: {}\n  engagement_type:\n    qa_engineer:\n      title: \"Software Integration Tester\"\n      scope: \"TEXT\"\n  association_type: {}\n  role_type: {}\n  leave_type: {}\n  manager_type: {}\n  responsibility: {}\n  manager_level: {}\n  visibility: {}\n  time_planning: {}\n  org_unit_level: {}\n  primary_type: {}\n  org_unit_hierarchy: {}\n  kle_number: {}\n  kle_aspect: {}\n\nit_systems:\n  FOOBAR: \"The Foo Bar\"\n```\n\n### Debugging\nBy default, only logs generated by the application are captured and output in\nthe GitLab interface. Service logs (OS2mo, OS2mo-init, Keycloak, etc.) can be\ncaptured for debugging by adding the following to the project's\n`.gitlab-ci.yml` file:\n```yaml\nvariables:\n  CI_DEBUG_SERVICES: \"true\"\n```\nThis is especially useful if a service fails to start (`Waiting for keycloak\nrealm builder...`). See the [GitLab\ndocumentation](https://docs.gitlab.com/ee/ci/services/#capturing-service-container-logs)\nfor more information.\n\n\n## Development\n\n### Prerequisites\n\n- [Poetry](https://github.com/python-poetry/poetry)\n\n### Getting Started\n\n1. Clone the repository:\n```\ngit clone git@git.magenta.dk:rammearkitektur/FastRAMQPI.git\n```\n\n2. Install all dependencies:\n```\npoetry install\n```\n\n3. Set up pre-commit:\n```\npoetry run pre-commit install\n```\n\n### Running the tests\n\nYou use `poetry` and `pytest` to run the tests:\n\n`poetry run pytest`\n\nYou can also run specific files\n\n`poetry run pytest tests/<test_folder>/<test_file.py>`\n\nand even use filtering with `-k`\n\n`poetry run pytest -k \"Manager\"`\n\nYou can use the flags `-vx` where `v` prints the test & `x` makes the test stop if any tests fails (Verbose, X-fail)\n\n## Authors\n\nMagenta ApS <https://magenta.dk>\n\n## License\n\nThis project uses: [MPL-2.0](LICENSES/MPL-2.0.txt)\n\nThis project uses [REUSE](https://reuse.software) for licensing.\nAll licenses can be found in the [LICENSES folder](LICENSES/) of the project.\n",
    "bugtrack_url": null,
    "license": "MPL-2.0",
    "summary": "Rammearkitektur integrations framework",
    "version": "12.4.1",
    "project_urls": {
        "Homepage": "https://magenta.dk/",
        "Repository": "https://git.magenta.dk/rammearkitektur/FastRAMQPI"
    },
    "split_keywords": [
        "os2mo"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ae6af6ff83e9aaa899cfc2817ab2f59002aecf6b2f3ed3aac813c697e5757fe5",
                "md5": "be2091b76b5fa5710127e903cc3c308d",
                "sha256": "a2081fa76860026a1ab857f6b4ba1f97a93929c691dc150b5bf3a81f1f2cf959"
            },
            "downloads": -1,
            "filename": "fastramqpi-12.4.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "be2091b76b5fa5710127e903cc3c308d",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.11",
            "size": 118267,
            "upload_time": "2025-08-19T09:16:03",
            "upload_time_iso_8601": "2025-08-19T09:16:03.273417Z",
            "url": "https://files.pythonhosted.org/packages/ae/6a/f6ff83e9aaa899cfc2817ab2f59002aecf6b2f3ed3aac813c697e5757fe5/fastramqpi-12.4.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ae9ae57e32d33992b8ef0f20790d9f853b0fcdd32b9b1ef33f2eb7cd8838c1d4",
                "md5": "93fde1e9229f41d0b43fdba96e9abf9b",
                "sha256": "7ad038b0f606412b492a34c9450214698176030cac364916ac204a5510f43bfa"
            },
            "downloads": -1,
            "filename": "fastramqpi-12.4.1.tar.gz",
            "has_sig": false,
            "md5_digest": "93fde1e9229f41d0b43fdba96e9abf9b",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.11",
            "size": 86434,
            "upload_time": "2025-08-19T09:16:04",
            "upload_time_iso_8601": "2025-08-19T09:16:04.715819Z",
            "url": "https://files.pythonhosted.org/packages/ae/9a/e57e32d33992b8ef0f20790d9f853b0fcdd32b9b1ef33f2eb7cd8838c1d4/fastramqpi-12.4.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-08-19 09:16:04",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "fastramqpi"
}
        
Elapsed time: 1.42493s