feat!: full-access Gitea MCP server (1.0.0): full API coverage, stdio + streamable HTTP, admin and per-user OAuth #71
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"""Scenario: a real Actions run on an act_runner container, read back through the tools."""
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from __future__ import annotations
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import asyncio
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import time
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from typing import Any
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import pytest
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from tests.integration.conftest import McpSession, RepoRef, b64
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from tests.integration.harness import GiteaInstance, HarnessError, runner_logs, start_runner
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WORKFLOW_PATH = ".gitea/workflows/it.yml"
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WORKFLOW = """\
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name: it
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on: [push, workflow_dispatch]
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jobs:
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hello:
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runs-on: aegis-host
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steps:
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- name: Say hello
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run: echo hello
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"""
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RUNNER_ONLINE_TIMEOUT = 90.0
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RUN_TIMEOUT = 180.0
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async def _wait_for(probe: Any, *, timeout: float, interval: float = 2.0) -> Any:
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"""Await ``probe()`` until it returns something truthy; return it (or None on timeout)."""
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deadline = time.monotonic() + timeout
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while True:
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value = await probe()
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if value or time.monotonic() >= deadline:
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return value
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await asyncio.sleep(interval)
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async def test_workflow_run_on_act_runner(
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mcp: McpSession, gitea: GiteaInstance, fresh_repo: RepoRef
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) -> None:
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repo = fresh_repo.args
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token = await mcp.ok("gitea_actions_repo_create_runner_registration_token", **repo)
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assert isinstance(token.data["token"], str) and token.data["token"]
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try:
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runner = start_runner(gitea, token.data["token"])
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except HarnessError as exc:
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pytest.xfail(f"the act_runner container could not be started: {exc}")
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async def online() -> dict[str, Any] | None:
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runners = await mcp.ok("gitea_actions_get_repo_runners", **repo)
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entries = runners.data["runners"] if isinstance(runners.data, dict) else runners.data
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for entry in entries or []:
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if entry.get("status") in ("online", "idle", "active"):
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found: dict[str, Any] = entry
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return found
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return None
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registered = await _wait_for(online, timeout=RUNNER_ONLINE_TIMEOUT)
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if not registered:
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pytest.xfail(
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"the act_runner did not come online within "
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f"{RUNNER_ONLINE_TIMEOUT:.0f}s; runner log tail: {runner_logs(runner, 15)}"
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)
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assert token.data["token"] not in runner_logs(runner, 200)
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# Commit the workflow through the contents tool, then dispatch it explicitly.
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await mcp.ok(
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"gitea_repo_create_file",
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status=201,
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filepath=WORKFLOW_PATH,
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body={"content": b64(WORKFLOW), "message": "add it workflow", "branch": "main"},
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**repo,
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)
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workflows = await mcp.ok("gitea_actions_list_repository_workflows", **repo)
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assert any(w["path"].endswith("it.yml") for w in workflows.data["workflows"])
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await mcp.ok(
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"gitea_actions_dispatch_workflow",
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status=(200, 204),
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workflow_id="it.yml",
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body={"ref": "main"},
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**repo,
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)
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async def finished() -> list[dict[str, Any]] | None:
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runs = await mcp.ok("gitea_actions_get_workflow_runs", **repo)
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entries = runs.data["workflow_runs"]
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if len(entries) >= 2 and all(r["status"] == "completed" for r in entries):
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done: list[dict[str, Any]] = entries
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return done
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return None
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runs = await _wait_for(finished, timeout=RUN_TIMEOUT)
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assert runs, (
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f"workflow runs did not complete within {RUN_TIMEOUT:.0f}s; "
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f"runner log tail: {runner_logs(runner, 20)}"
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)
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assert {r["event"] for r in runs} == {"push", "workflow_dispatch"}
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assert [r["conclusion"] for r in runs] == ["success", "success"]
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run_id = runs[0]["id"]
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one = await mcp.ok("gitea_actions_get_workflow_run", run=run_id, **repo)
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assert one.data["status"] == "completed"
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jobs = await mcp.ok("gitea_actions_list_workflow_run_jobs", run=run_id, **repo)
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job = jobs.data["jobs"][0]
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assert job["conclusion"] == "success"
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job_id = str(job["id"]) # the job id is a string argument
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fetched = await mcp.ok("gitea_actions_get_workflow_job", job_id=job_id, **repo)
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assert fetched.data["id"] == job["id"]
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logs = await mcp.ok("gitea_actions_download_run_job_logs", job_id=job["id"], **repo)
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assert isinstance(logs.data, str)
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assert "hello" in logs.data
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artifacts = await mcp.ok("gitea_actions_get_artifacts_of_run", run=run_id, **repo)
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assert artifacts.data["artifacts"] == []
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assert (await mcp.ok("gitea_actions_get_artifacts", **repo)).data["total_count"] == 0
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tasks = await mcp.ok("gitea_actions_list_action_tasks", **repo)
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assert tasks.data["total_count"] >= 2
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