Substrate-level gate: same @client fixture registered in both backends
emits equivalent schemas, therefore the codegen produces equivalent
TypeScript regardless of which backend the frontend is generated against.
Catches adapter symmetry problems (Pydantic→OpenAPI converter divergence,
metadata leakage, ordering non-determinism) without docker, browser, or
Playwright.
What ships:
backends/mizan-fastapi/src/mizan_fastapi/schema.py — build_schema():
- Builds OpenAPI 3.0 from registered Mizan functions, mirroring the
shape mizan-django's export emits.
- Drives FastAPI's native OpenAPI generation by registering a stub POST
endpoint per function with its Input/Output Pydantic models, then
appends x-mizan-functions and x-mizan-contexts extensions.
- Param-elevation logic mirrors mizan-django/src/mizan/export/__init__.py
exactly (sharedBy tracking, required iff every function in context has
the param).
- snake_to_camel and metadata field shapes match Django for byte-equality
on the AFI surface.
tests/afi/ — the conformance harness:
- fixture.py: 5 @client functions covering the protocol axes (plain,
context, mutation+affects). No channels/forms — those aren't AFI-common.
- django_app/: minimal Django project (settings, urls, AppConfig.ready
registers the fixture). manage.py adds tests/afi/ to sys.path so both
backends import the same fixture module.
- fastapi_app.py: thin make_app() that registers fixture and mounts router.
- schema_normalizer.py: drops backend-specific framing — Ninja-vs-FastAPI
envelope differences (info/servers/tags), Django-only function fields
(form metadata), x-mizan-channels. Plus afi_subset() and
function_io_schemas() helpers for narrower comparisons.
- test_codegen_parity.py: three gates
1. x-mizan-functions match across backends
2. x-mizan-contexts match across backends
3. Per-function Input/Output OpenAPI schemas match (what codegen feeds
to openapi-typescript for type generation)
The full normalized OpenAPI envelopes do diverge — FastAPI adds
HTTPValidationError, the two converters wrap things slightly differently
in non-AFI-essential ways. That's not in the test scope. The codegen
only consumes x-mizan-functions, x-mizan-contexts, and the per-function
type schemas; those are what the test gates.
Makefile: test-afi target added; rolls into the test aggregate.
Verified: 3/3 conformance tests pass. Other surfaces unaffected —
mizan-core 15/15, mizan-django 348 pass, mizan-fastapi 11/11.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
89 lines
3.1 KiB
Python
89 lines
3.1 KiB
Python
"""
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AFI conformance — same @client fixture, same schema, both adapters.
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Gates that mizan-django and mizan-fastapi emit equivalent schemas for the
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same registered functions. If this passes, the codegen produces equivalent
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TypeScript output regardless of which backend the frontend is generated
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against (codegen is deterministic over schema input).
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This is a substrate-level gate, not e2e. It catches adapter symmetry
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problems — Pydantic→OpenAPI converter divergence, metadata leakage,
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ordering non-determinism — without running a real frontend or backend.
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"""
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from __future__ import annotations
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import json
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import os
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import subprocess
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import sys
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from pathlib import Path
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import pytest
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HERE = Path(__file__).parent
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DJANGO_MANAGE = HERE / "django_app" / "manage.py"
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# ─── Schema fetchers ────────────────────────────────────────────────────────
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def _fetch_django_schema() -> dict:
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"""Spawn Django's management command and parse its stdout JSON."""
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result = subprocess.run(
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[sys.executable, str(DJANGO_MANAGE), "export_mizan_schema", "--indent", "0"],
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capture_output=True,
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text=True,
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check=False,
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env={**os.environ, "PYTHONDONTWRITEBYTECODE": "1"},
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)
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if result.returncode != 0:
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pytest.fail(f"export_mizan_schema failed:\nstdout:\n{result.stdout}\nstderr:\n{result.stderr}")
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return json.loads(result.stdout)
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def _fetch_fastapi_schema() -> dict:
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"""Build the FastAPI app inline (fresh registry) and call build_schema()."""
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sys.path.insert(0, str(HERE))
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try:
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from mizan_core.registry import clear_registry
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from mizan_fastapi import build_schema
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from fastapi_app import make_app
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clear_registry()
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make_app()
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return build_schema()
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finally:
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sys.path.remove(str(HERE))
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# ─── Tests ──────────────────────────────────────────────────────────────────
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@pytest.fixture(scope="module")
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def schemas() -> tuple[dict, dict]:
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return _fetch_django_schema(), _fetch_fastapi_schema()
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class AFISubsetTests:
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"""The AFI surface — x-mizan-functions and x-mizan-contexts — must match."""
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def test_x_mizan_functions_match(self, schemas):
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from schema_normalizer import afi_subset
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django, fastapi = schemas
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assert afi_subset(django)["x-mizan-functions"] == afi_subset(fastapi)["x-mizan-functions"]
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def test_x_mizan_contexts_match(self, schemas):
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from schema_normalizer import afi_subset
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django, fastapi = schemas
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assert afi_subset(django)["x-mizan-contexts"] == afi_subset(fastapi)["x-mizan-contexts"]
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class TypeSchemasTests:
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"""Per-function Input/Output Pydantic→OpenAPI schemas — codegen feeds these to openapi-typescript."""
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def test_function_io_schemas_match(self, schemas):
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from schema_normalizer import function_io_schemas
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django, fastapi = schemas
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assert function_io_schemas(django) == function_io_schemas(fastapi)
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