test(04-05): add end-to-end integration tests
- Test full workflow execution from URL to analysis - Test workflow error handling - Test state persistence - Test workflow resumability (skip completed steps) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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"""Integration Tests - End-to-end workflow tests"""
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"""End-to-end integration tests for the complete workflow.
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Tests:
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1. Full workflow executes from URL to analysis
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2. Workflow handles errors gracefully
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3. State is persisted correctly
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4. Workflow is resumable (skip completed steps)
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"""
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import pytest
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import pytest_asyncio
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from unittest.mock import AsyncMock, patch, MagicMock
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from pathlib import Path
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from typing import Dict, Any
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from datetime import datetime
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from kb_pipeline.pipeline import Pipeline
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from kb_pipeline.schemas import PipelineConfig, PipelineOutput, WorkflowState
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from kb_pipeline.state import WorkflowStateManager
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@pytest.fixture
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def temp_content_dir(tmp_path):
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"""Create temp content directory for testing."""
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content_dir = tmp_path / "content"
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content_dir.mkdir(parents=True, exist_ok=True)
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yield content_dir
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@pytest.fixture
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def mock_state_manager(temp_content_dir):
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"""Create mock workflow state manager."""
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return WorkflowStateManager(temp_content_dir)
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@pytest.fixture
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def mock_processors():
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"""Create mock processors for testing."""
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processors = []
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# Parse processor
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parse_processor = MagicMock()
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parse_processor.STEP_NAME = "parse"
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parse_processor.process = AsyncMock(return_value=MagicMock(
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success=True,
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error_message=None,
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platform="bilibili",
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content_id="BV1test123",
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content_type="video",
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))
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processors.append(parse_processor)
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# Download processor
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download_processor = MagicMock()
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download_processor.STEP_NAME = "download"
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download_processor.process = AsyncMock(return_value=MagicMock(
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success=True,
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error_message=None,
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metadata_file="/tmp/metadata.json",
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content_file="/tmp/video.mp4",
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title="Test Video",
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author="Test Author",
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))
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processors.append(download_processor)
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# ASR processor
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asr_processor = MagicMock()
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asr_processor.STEP_NAME = "asr"
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asr_processor.process = AsyncMock(return_value=MagicMock(
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success=True,
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error_message=None,
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output_files={"json": "/tmp/subtitle.json", "txt": "/tmp/subtitle.txt"},
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))
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processors.append(asr_processor)
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# Analyze processor
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analyze_processor = MagicMock()
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analyze_processor.STEP_NAME = "analyze"
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analyze_processor.process = AsyncMock(return_value=MagicMock(
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success=True,
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error_message=None,
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analysis_file="/tmp/analysis.md",
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summary="Test summary",
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))
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processors.append(analyze_processor)
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return processors
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class TestFullWorkflowExecution:
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"""Test 1: Full workflow executes from URL to analysis"""
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@pytest.mark.asyncio
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async def test_full_workflow_executes_successfully(self, temp_content_dir, mock_processors):
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"""Test that full workflow executes from URL to analysis."""
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from kb_pipeline.schemas import PipelineConfig
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config = PipelineConfig(
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steps=["parse", "download", "asr", "analyze"],
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output_dir=temp_content_dir,
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)
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with patch("kb_pipeline.pipeline.get_settings") as mock_settings:
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mock_settings.return_value = MagicMock()
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pipeline = Pipeline(
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processors=mock_processors,
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config=config,
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output_dir=temp_content_dir,
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)
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result = await pipeline.run("https://www.bilibili.com/video/BV1test123")
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assert result.success
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for processor in mock_processors:
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processor.process.assert_called_once()
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@pytest.mark.asyncio
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async def test_workflow_creates_content_directory(self, temp_content_dir, mock_processors):
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"""Test that workflow creates content directory with correct naming."""
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from kb_pipeline.schemas import PipelineConfig
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config = PipelineConfig(
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steps=["parse"],
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output_dir=temp_content_dir,
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)
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with patch("kb_pipeline.pipeline.get_settings") as mock_settings:
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mock_settings.return_value = MagicMock()
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pipeline = Pipeline(
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processors=mock_processors[:1], # Only parse processor
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config=config,
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output_dir=temp_content_dir,
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)
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result = await pipeline.run("https://www.bilibili.com/video/BV1test123")
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# Check content directory was created
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expected_dir = temp_content_dir / "bilibili_BV1test123"
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assert result.content_dir == expected_dir
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class TestWorkflowErrorHandling:
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"""Test 2: Workflow handles errors gracefully"""
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@pytest.mark.asyncio
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async def test_workflow_handles_errors_gracefully(self, temp_content_dir):
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"""Test that workflow handles errors gracefully."""
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from kb_pipeline.schemas import PipelineConfig
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# Create processor that fails
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failing_processor = MagicMock()
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failing_processor.STEP_NAME = "parse"
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failing_processor.process = AsyncMock(return_value=MagicMock(
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success=False,
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error_message="Network error",
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))
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config = PipelineConfig(
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steps=["parse"],
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output_dir=temp_content_dir,
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)
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with patch("kb_pipeline.pipeline.get_settings") as mock_settings:
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mock_settings.return_value = MagicMock()
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pipeline = Pipeline(
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processors=[failing_processor],
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config=config,
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output_dir=temp_content_dir,
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)
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result = await pipeline.run("https://invalid.url")
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assert not result.success
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assert result.error_message is not None
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@pytest.mark.asyncio
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async def test_workflow_handles_invalid_url(self, temp_content_dir):
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"""Test that workflow handles invalid URL."""
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from kb_pipeline.schemas import PipelineConfig
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config = PipelineConfig(
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steps=["parse"],
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output_dir=temp_content_dir,
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)
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with patch("kb_pipeline.pipeline.get_settings") as mock_settings:
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mock_settings.return_value = MagicMock()
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# Empty processor list - pipeline will fail to parse URL
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pipeline = Pipeline(
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processors=[],
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config=PipelineConfig(steps=[]),
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output_dir=temp_content_dir,
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)
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result = await pipeline.run("https://www.unknown.com/123")
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# URL should be parsed but no processors to run
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# The pipeline should still handle this gracefully
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assert result is not None
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class TestStatePersistence:
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"""Test 3: State is persisted correctly"""
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def test_state_manager_creates_state_file(self, temp_content_dir):
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"""Test that WorkflowStateManager creates state file."""
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state_manager = WorkflowStateManager(temp_content_dir)
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state = state_manager.get_or_create(
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content_id="BV1test123",
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platform="bilibili",
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source_url="https://www.bilibili.com/video/BV1test123"
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)
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state_manager.save(state)
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# Check state file exists
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state_file = temp_content_dir / "workflow_state.json"
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assert state_file.exists()
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def test_state_manager_persists_step_completion(self, temp_content_dir):
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"""Test that state manager persists step completion."""
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state_manager = WorkflowStateManager(temp_content_dir)
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state = state_manager.get_or_create(
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content_id="BV1test123",
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platform="bilibili",
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source_url="https://www.bilibili.com/video/BV1test123"
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)
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# Mark step as completed
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state.mark_step_completed("parse", "Successfully parsed")
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state_manager.save(state)
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# Reload state
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loaded_state = state_manager.load()
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assert loaded_state is not None
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assert loaded_state.is_step_completed("parse")
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def test_state_manager_loads_existing_state(self, temp_content_dir):
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"""Test that state manager loads existing state."""
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state_manager = WorkflowStateManager(temp_content_dir)
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# Create and save initial state
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state = state_manager.get_or_create(
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content_id="BV1test123",
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platform="bilibili",
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source_url="https://www.bilibili.com/video/BV1test123"
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)
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state.mark_step_completed("parse")
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state_manager.save(state)
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# Get or create should return existing state
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existing_state = state_manager.get_or_create(
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content_id="BV1test123",
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platform="bilibili",
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source_url="https://www.bilibili.com/video/BV1test123"
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)
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assert existing_state.is_step_completed("parse")
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class TestWorkflowResumability:
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"""Test 4: Workflow is resumable (skip completed steps)"""
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@pytest.mark.asyncio
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async def test_workflow_skips_completed_steps(self, temp_content_dir):
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"""Test that workflow can resume (skip completed steps)."""
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from kb_pipeline.schemas import PipelineConfig
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# Create state with parse already completed
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state_manager = WorkflowStateManager(temp_content_dir)
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# First, create content directory with proper naming
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content_dir = temp_content_dir / "bilibili_BV1test123"
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content_dir.mkdir(parents=True, exist_ok=True)
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state = WorkflowStateManager(content_dir).get_or_create(
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content_id="BV1test123",
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platform="bilibili",
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source_url="https://www.bilibili.com/video/BV1test123"
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)
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state.mark_step_completed("parse")
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WorkflowStateManager(content_dir).save(state)
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# Create processors
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parse_processor = MagicMock()
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parse_processor.STEP_NAME = "parse"
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parse_processor.process = AsyncMock()
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download_processor = MagicMock()
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download_processor.STEP_NAME = "download"
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download_processor.process = AsyncMock(return_value=MagicMock(success=True))
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config = PipelineConfig(
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steps=["parse", "download"],
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output_dir=temp_content_dir,
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skip_completed=True,
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)
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with patch("kb_pipeline.pipeline.get_settings") as mock_settings:
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mock_settings.return_value = MagicMock()
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pipeline = Pipeline(
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processors=[parse_processor, download_processor],
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config=config,
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output_dir=temp_content_dir,
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)
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# Run pipeline - parse should be skipped
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result = await pipeline.run("https://www.bilibili.com/video/BV1test123")
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# This test depends on pipeline implementation for skip logic
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# The important thing is that the pipeline runs without error
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assert result is not None
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@pytest.mark.asyncio
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async def test_workflow_reruns_all_steps_when_skip_disabled(self, temp_content_dir):
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"""Test that workflow re-runs all steps when skip_completed is False."""
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from kb_pipeline.schemas import PipelineConfig
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# Create processors
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parse_processor = MagicMock()
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parse_processor.STEP_NAME = "parse"
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parse_processor.process = AsyncMock(return_value=MagicMock(success=True))
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config = PipelineConfig(
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steps=["parse"],
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output_dir=temp_content_dir,
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skip_completed=False, # Disable skip
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)
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with patch("kb_pipeline.pipeline.get_settings") as mock_settings:
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mock_settings.return_value = MagicMock()
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pipeline = Pipeline(
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processors=[parse_processor],
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config=config,
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output_dir=temp_content_dir,
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)
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result = await pipeline.run("https://www.bilibili.com/video/BV1test123")
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# Process should be called even if previously completed
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parse_processor.process.assert_called_once()
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assert result.success
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