Artur Mukhamadiev
d77b52ae86
- tests/integration: frontend served by backend, runtime error mapping, backend + real pi image with scripted model/Confluence (shared example, variants, failure paths, cancellation/busy gate, isolation canaries, HTTP download ownership, 16 MiB prompt round trip), real OpenAI-compatible adapter + real image over a scripted transport, real Chrome against the real backend with a scripted runtime peer, backend crash/restart reconciliation, and an opt-in live model check (marker: live). - backend: map runtime terminal codes (model_output_limit, model_context_exceeded, query_timeout, connectivity_failed) to the contract's HTTP statuses; make the artifact 404 body identical for no-session, wrong-session, unknown and expired IDs. - Makefile, scripts/run-backend.sh, deploy/confluence-web.env.example, root README for the integrated application; integration pytest marker.
49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""Test-owned launcher: real backend + real runtime image with a stalling model.
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Used by the backend-crash / restart-reconciliation check. Confluence is the
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scripted transport; the model stalls so a container stays alive while the
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backend process is killed.
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"""
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from __future__ import annotations
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import asyncio
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import os
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from pathlib import Path
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import uvicorn
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from backend.app import create_app
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from backend.artifacts import ArtifactStore
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from backend.model import FakeModelAdapter
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from backend.settings import Settings
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from tests.integration.conftest import APPROVED_ORIGIN, RUNTIME_IMAGE, make_confluence_factory
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class StallingModel(FakeModelAdapter):
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async def complete(self, messages, tools, system_instruction, provider_state_meta=None):
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await asyncio.sleep(600)
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raise AssertionError("unreachable")
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def main() -> None:
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settings = Settings(
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runtime_image=RUNTIME_IMAGE,
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approved_confluence_origins=[APPROVED_ORIGIN],
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container_label_value=os.environ["CW_LABEL_VALUE"],
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artifact_storage_dir=Path(os.environ["CW_ARTIFACT_DIR"]),
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query_timeout_seconds=170.0,
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)
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app = create_app(
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settings=settings,
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artifact_store=ArtifactStore(settings.artifact_storage_dir),
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model_adapter=StallingModel(),
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confluence_client_factory=make_confluence_factory(),
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)
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uvicorn.run(app, host="127.0.0.1", port=int(os.environ["CW_DEV_PORT"]), workers=1, log_level="warning")
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if __name__ == "__main__":
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main()
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