Dev #72

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"""Scenario: a real Actions run on an act_runner container, read back through the tools."""
from __future__ import annotations
import asyncio
import time
from typing import Any
import pytest
from tests.integration.conftest import McpSession, RepoRef, b64
from tests.integration.harness import GiteaInstance, HarnessError, runner_logs, start_runner
WORKFLOW_PATH = ".gitea/workflows/it.yml"
WORKFLOW = """\
name: it
on: [push, workflow_dispatch]
jobs:
hello:
runs-on: aegis-host
steps:
- name: Say hello
run: echo hello
"""
RUNNER_ONLINE_TIMEOUT = 90.0
RUN_TIMEOUT = 180.0
async def _wait_for(probe: Any, *, timeout: float, interval: float = 2.0) -> Any:
"""Await ``probe()`` until it returns something truthy; return it (or None on timeout)."""
deadline = time.monotonic() + timeout
while True:
value = await probe()
if value or time.monotonic() >= deadline:
return value
await asyncio.sleep(interval)
async def test_workflow_run_on_act_runner(
mcp: McpSession, gitea: GiteaInstance, fresh_repo: RepoRef
) -> None:
repo = fresh_repo.args
token = await mcp.ok("gitea_actions_repo_create_runner_registration_token", **repo)
assert isinstance(token.data["token"], str) and token.data["token"]
try:
runner = start_runner(gitea, token.data["token"])
except HarnessError as exc:
pytest.xfail(f"the act_runner container could not be started: {exc}")
async def online() -> dict[str, Any] | None:
runners = await mcp.ok("gitea_actions_get_repo_runners", **repo)
entries = runners.data["runners"] if isinstance(runners.data, dict) else runners.data
for entry in entries or []:
if entry.get("status") in ("online", "idle", "active"):
found: dict[str, Any] = entry
return found
return None
registered = await _wait_for(online, timeout=RUNNER_ONLINE_TIMEOUT)
if not registered:
pytest.xfail(
"the act_runner did not come online within "
f"{RUNNER_ONLINE_TIMEOUT:.0f}s; runner log tail: {runner_logs(runner, 15)}"
)
assert token.data["token"] not in runner_logs(runner, 200)
# Commit the workflow through the contents tool, then dispatch it explicitly.
await mcp.ok(
"gitea_repo_create_file",
status=201,
filepath=WORKFLOW_PATH,
body={"content": b64(WORKFLOW), "message": "add it workflow", "branch": "main"},
**repo,
)
workflows = await mcp.ok("gitea_actions_list_repository_workflows", **repo)
assert any(w["path"].endswith("it.yml") for w in workflows.data["workflows"])
await mcp.ok(
"gitea_actions_dispatch_workflow",
status=(200, 204),
workflow_id="it.yml",
body={"ref": "main"},
**repo,
)
async def finished() -> list[dict[str, Any]] | None:
runs = await mcp.ok("gitea_actions_get_workflow_runs", **repo)
entries = runs.data["workflow_runs"]
if len(entries) >= 2 and all(r["status"] == "completed" for r in entries):
done: list[dict[str, Any]] = entries
return done
return None
runs = await _wait_for(finished, timeout=RUN_TIMEOUT)
assert runs, (
f"workflow runs did not complete within {RUN_TIMEOUT:.0f}s; "
f"runner log tail: {runner_logs(runner, 20)}"
)
assert {r["event"] for r in runs} == {"push", "workflow_dispatch"}
assert [r["conclusion"] for r in runs] == ["success", "success"]
run_id = runs[0]["id"]
one = await mcp.ok("gitea_actions_get_workflow_run", run=run_id, **repo)
assert one.data["status"] == "completed"
jobs = await mcp.ok("gitea_actions_list_workflow_run_jobs", run=run_id, **repo)
job = jobs.data["jobs"][0]
assert job["conclusion"] == "success"
job_id = str(job["id"]) # the job id is a string argument
fetched = await mcp.ok("gitea_actions_get_workflow_job", job_id=job_id, **repo)
assert fetched.data["id"] == job["id"]
logs = await mcp.ok("gitea_actions_download_run_job_logs", job_id=job["id"], **repo)
assert isinstance(logs.data, str)
assert "hello" in logs.data
artifacts = await mcp.ok("gitea_actions_get_artifacts_of_run", run=run_id, **repo)
assert artifacts.data["artifacts"] == []
assert (await mcp.ok("gitea_actions_get_artifacts", **repo)).data["total_count"] == 0
tasks = await mcp.ok("gitea_actions_list_action_tasks", **repo)
assert tasks.data["total_count"] >= 2