f5c2733cfb
LangGraph-based release automation agent with: - PR discovery (webhook + polling) - AI code review via Claude Code CLI (subscription-based) - Auto-create Jira tickets for PRs without ticket ID - Jira ticket lifecycle management (code review -> staging -> done) - CI/CD pipeline trigger, polling, and approval gates - Slack interactive messages with approval buttons - Per-repo semantic versioning - PostgreSQL persistence (threads, staging, releases) - FastAPI API (webhooks, approvals, status, manual triggers) - Docker Compose deployment 1069 tests, 95%+ coverage.
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Shared fixtures for graph tests.
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Provides build_mock_clients() to create ToolClients with AsyncMock fields
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so individual node functions can be tested without compiling the full graph.
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"""
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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from release_agent.graph.dependencies import ToolClients
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def build_mock_clients() -> ToolClients:
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"""Return a ToolClients instance whose fields are all AsyncMock/MagicMock."""
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azdo = AsyncMock()
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jira = AsyncMock()
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slack = AsyncMock()
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reviewer = AsyncMock()
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return ToolClients(azdo=azdo, jira=jira, slack=slack, reviewer=reviewer)
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def build_config(clients: ToolClients | None = None, staging_store=None) -> dict:
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"""Return a LangGraph-style config dict with clients and staging_store."""
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if clients is None:
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clients = build_mock_clients()
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return {
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"configurable": {
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"clients": clients,
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"staging_store": staging_store,
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}
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}
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@pytest.fixture()
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def mock_clients() -> ToolClients:
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"""Pytest fixture returning fresh mock ToolClients."""
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return build_mock_clients()
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@pytest.fixture()
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def config(mock_clients: ToolClients):
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"""Pytest fixture returning a config dict with mock clients."""
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return build_config(mock_clients)
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