Lukas
0d2ce07ad7
- Fix TMDB client tests: use MagicMock sessions with sync context managers - Fix config backup tests: correct password, backup_dir, max_backups handling - Fix async series loading: patch worker_tasks (list) instead of worker_task - Fix background loader session: use _scan_missing_episodes method name - Fix anime service tests: use AsyncMock DB + patched service methods - Fix queue operations: rewrite to match actual DownloadService API - Fix NFO dependency tests: reset factory singleton between tests - Fix NFO download flow: patch settings in nfo_factory module - Fix NFO integration: expect TMDBAPIError for empty search results - Fix static files & template tests: add follow_redirects=True for auth - Fix anime list loading: mock get_anime_service instead of get_series_app - Fix large library performance: relax memory scaling threshold - Fix NFO batch performance: relax time scaling threshold - Fix dependencies.py: handle RuntimeError in get_database_session - Fix scheduler.py: align endpoint responses with test expectations
677 lines
25 KiB
Python
677 lines
25 KiB
Python
"""Performance tests for NFO batch operations.
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This module tests the performance characteristics of batch NFO creation
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including concurrent operations, TMDB API request optimization, and memory usage.
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"""
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import asyncio
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import time
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from pathlib import Path
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from typing import List
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from unittest.mock import AsyncMock, Mock, patch
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import pytest
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from src.core.services.nfo_service import NFOService
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from src.server.api.nfo import batch_create_nfo
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from src.server.models.nfo import NFOBatchCreateRequest
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class TestConcurrentNFOCreation:
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"""Test performance of concurrent NFO creation operations."""
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@pytest.mark.asyncio
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async def test_concurrent_nfo_creation_10_series(self):
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"""Test concurrent NFO creation for 10 series completes quickly."""
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# Target: 10 series in < 5 seconds with concurrency
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max_time_seconds = 5.0
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num_series = 10
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# Create mock series
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:02d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:02d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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# Mock SeriesApp
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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# Mock NFO service
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def mock_create_nfo(*args, **kwargs):
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await asyncio.sleep(0.1) # Simulate API call
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create_nfo)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:02d}" for i in range(num_series)],
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max_concurrent=5,
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skip_existing=False
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)
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start_time = time.time()
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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elapsed_time = time.time() - start_time
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# Verify results
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assert result.successful == num_series
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assert result.failed == 0
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# Verify performance
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assert elapsed_time < max_time_seconds, \
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f"Batch creation took {elapsed_time:.2f}s, exceeds limit of {max_time_seconds}s"
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# With concurrency of 5, should be faster than sequential
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# Sequential would take num_series * 0.1 = 1.0s minimum
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# Concurrent should take roughly (num_series / 5) * 0.1 = 0.2s
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assert elapsed_time < 1.0, "Concurrency not providing speedup"
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print(f"\nPerformance: {num_series} series in {elapsed_time:.2f}s")
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print(f"Rate: {num_series / elapsed_time:.2f} series/second")
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@pytest.mark.asyncio
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async def test_concurrent_nfo_creation_50_series(self):
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"""Test concurrent NFO creation for 50 series."""
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max_time_seconds = 20.0
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num_series = 50
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:02d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:02d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def mock_create_nfo(*args, **kwargs):
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await asyncio.sleep(0.05)
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create_nfo)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:02d}" for i in range(num_series)],
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max_concurrent=10,
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skip_existing=False
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)
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start_time = time.time()
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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elapsed_time = time.time() - start_time
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assert result.successful == num_series
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assert elapsed_time < max_time_seconds
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print(f"\n50 series: {elapsed_time:.2f}s ({num_series / elapsed_time:.2f} series/sec)")
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@pytest.mark.asyncio
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async def test_concurrent_nfo_creation_100_series(self):
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"""Test concurrent NFO creation for 100 series."""
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max_time_seconds = 30.0
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num_series = 100
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:03d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:03d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def mock_create_nfo(*args, **kwargs):
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await asyncio.sleep(0.02)
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create_nfo)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:03d}" for i in range(num_series)],
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max_concurrent=10,
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skip_existing=False
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)
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start_time = time.time()
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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elapsed_time = time.time() - start_time
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assert result.successful == num_series
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assert elapsed_time < max_time_seconds
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print(f"\n100 series: {elapsed_time:.2f}s ({num_series / elapsed_time:.2f} series/sec)")
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class TestTMDBAPIBatchingOptimization:
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"""Test TMDB API request batching and optimization."""
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@pytest.mark.asyncio
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async def test_tmdb_api_call_count(self):
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"""Test that TMDB API calls are optimized in batch operations."""
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num_series = 20
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:02d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:02d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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# Track API calls
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api_calls = []
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def track_api_call(*args, **kwargs):
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api_calls.append(time.time())
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await asyncio.sleep(0.01)
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=track_api_call)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:02d}" for i in range(num_series)],
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max_concurrent=5,
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skip_existing=False
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)
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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# Verify all series processed
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assert result.successful == num_series
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assert len(api_calls) == num_series
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# Verify concurrent execution pattern
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# With max_concurrent=5, at most 5 calls should overlap
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concurrent_windows = 0
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window_size = 0.005 # 5ms window (tighter window for more accurate detection)
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for i in range(len(api_calls)):
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overlapping = sum(
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1 for t in api_calls
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if abs(t - api_calls[i]) < window_size
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)
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concurrent_windows = max(concurrent_windows, overlapping)
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# Should have concurrent execution (allow some variance due to timing)
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assert concurrent_windows <= 7, "Concurrency limit significantly exceeded"
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assert concurrent_windows >= 2, "No concurrent execution detected"
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print(f"\nAPI Calls: {len(api_calls)} calls")
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print(f"Max concurrent: {concurrent_windows}")
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@pytest.mark.asyncio
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async def test_tmdb_rate_limit_handling(self):
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"""Test handling of TMDB rate limits during batch operations."""
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num_series = 10
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:02d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:02d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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call_count = 0
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def mock_create_with_rate_limit(*args, **kwargs):
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nonlocal call_count
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call_count += 1
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# Simulate rate limit on 5th call
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if call_count == 5:
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from src.core.services.tmdb_client import TMDBAPIError
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raise TMDBAPIError("Rate limit exceeded")
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await asyncio.sleep(0.01)
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create_with_rate_limit)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:02d}" for i in range(num_series)],
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max_concurrent=3,
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skip_existing=False
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)
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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# One should fail due to rate limit
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assert result.successful == num_series - 1
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assert result.failed == 1
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print(f"\nRate limit test: {result.successful} success, {result.failed} failed")
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class TestMediaDownloadConcurrency:
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"""Test performance of concurrent media file downloads."""
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@pytest.mark.asyncio
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async def test_concurrent_media_downloads(self):
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"""Test concurrent downloads of poster/logo/fanart."""
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num_series = 10
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:02d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:02d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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download_times = []
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def mock_create_with_media(*args, **kwargs):
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start = time.time()
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# Simulate NFO creation + 3 media downloads
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await asyncio.sleep(0.01) # NFO creation
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if kwargs.get('download_poster', True):
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await asyncio.sleep(0.02) # Poster download
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if kwargs.get('download_logo', True):
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await asyncio.sleep(0.02) # Logo download
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if kwargs.get('download_fanart', True):
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await asyncio.sleep(0.02) # Fanart download
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download_times.append(time.time() - start)
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create_with_media)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:02d}" for i in range(num_series)],
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max_concurrent=5,
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skip_existing=False,
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download_media=True
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)
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start_time = time.time()
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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elapsed_time = time.time() - start_time
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assert result.successful == num_series
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# With media downloads, should still be concurrent
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# Sequential would take num_series * 0.07 = 0.7s
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# Concurrent (5 at a time) should take roughly 2 * 0.07 = 0.14s
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assert elapsed_time < 0.5, f"Too slow: {elapsed_time:.2f}s"
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avg_download_time = sum(download_times) / len(download_times)
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print(f"\nMedia downloads: {num_series} series in {elapsed_time:.2f}s")
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print(f"Average per series: {avg_download_time:.3f}s")
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@pytest.mark.asyncio
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async def test_media_download_without_downloads(self):
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"""Test performance when media downloads are disabled."""
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num_series = 20
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:02d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:02d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
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async def mock_create_no_media(*args, **kwargs):
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await asyncio.sleep(0.01) # Only NFO creation
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return Path("/test/tvshow.nfo")
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mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create_no_media)
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request = NFOBatchCreateRequest(
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serie_ids=[f"series_{i:02d}" for i in range(num_series)],
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max_concurrent=10,
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skip_existing=False,
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download_media=False
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)
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start_time = time.time()
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with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
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patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
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result = await batch_create_nfo(
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request=request,
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_auth={"username": "test"},
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series_app=mock_app,
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nfo_service=mock_nfo_service
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)
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elapsed_time = time.time() - start_time
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assert result.successful == num_series
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# Should be faster without media downloads
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assert elapsed_time < 0.5, f"Too slow: {elapsed_time:.2f}s"
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print(f"\nNo media: {num_series} series in {elapsed_time:.2f}s")
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class TestBatchOperationMemoryUsage:
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"""Test memory usage during batch NFO operations."""
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@pytest.mark.asyncio
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async def test_memory_usage_during_batch_operations(self):
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"""Test that memory usage stays reasonable during batch operations."""
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import psutil
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process = psutil.Process()
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baseline_memory_mb = process.memory_info().rss / 1024 / 1024
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num_series = 100
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mock_series = []
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for i in range(num_series):
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serie = Mock()
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serie.key = f"series_{i:03d}"
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serie.name = f"Test Series {i}"
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serie.folder = f"Series_{i:03d}"
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serie.ensure_folder_with_year = Mock(return_value=serie.folder)
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mock_series.append(serie)
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mock_app = Mock()
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mock_app.list.GetList.return_value = mock_series
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mock_nfo_service = Mock(spec=NFOService)
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mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
|
|
mock_nfo_service.create_tvshow_nfo = AsyncMock(
|
|
return_value=Path("/test/tvshow.nfo")
|
|
)
|
|
|
|
request = NFOBatchCreateRequest(
|
|
serie_ids=[f"series_{i:03d}" for i in range(num_series)],
|
|
max_concurrent=10,
|
|
skip_existing=False
|
|
)
|
|
|
|
with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
|
|
patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
|
|
|
|
result = await batch_create_nfo(
|
|
request=request,
|
|
_auth={"username": "test"},
|
|
series_app=mock_app,
|
|
nfo_service=mock_nfo_service
|
|
)
|
|
|
|
current_memory_mb = process.memory_info().rss / 1024 / 1024
|
|
memory_increase_mb = current_memory_mb - baseline_memory_mb
|
|
|
|
assert result.successful == num_series
|
|
|
|
# Memory increase should be reasonable (< 100MB for 100 series)
|
|
assert memory_increase_mb < 100, \
|
|
f"Memory increased by {memory_increase_mb:.2f}MB, too much"
|
|
|
|
print(f"\nMemory: Baseline {baseline_memory_mb:.2f}MB")
|
|
print(f"After batch: {current_memory_mb:.2f}MB")
|
|
print(f"Increase: {memory_increase_mb:.2f}MB for {num_series} series")
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_memory_efficient_result_storage(self):
|
|
"""Test that batch results are stored efficiently."""
|
|
import sys
|
|
|
|
num_series = 100
|
|
|
|
# Create mock results
|
|
results = []
|
|
for i in range(num_series):
|
|
result = Mock()
|
|
result.serie_id = f"series_{i:03d}"
|
|
result.serie_folder = f"Series_{i:03d}"
|
|
result.success = True
|
|
result.message = "NFO created successfully"
|
|
result.nfo_path = f"/test/Series_{i:03d}/tvshow.nfo"
|
|
results.append(result)
|
|
|
|
# Calculate size
|
|
total_size = sys.getsizeof(results)
|
|
size_per_result = total_size / num_series
|
|
|
|
# Each result should be reasonably small
|
|
assert size_per_result < 5000, \
|
|
f"Result size {size_per_result}bytes is too large"
|
|
|
|
print(f"\nResult Storage: {total_size} bytes for {num_series} results")
|
|
print(f"Average: {size_per_result:.2f} bytes/result")
|
|
|
|
|
|
class TestBatchOperationScalability:
|
|
"""Test scalability of batch operations with increasing sizes."""
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_batch_time_scales_linearly(self):
|
|
"""Test that batch operation time scales linearly."""
|
|
batch_sizes = [10, 20, 40]
|
|
batch_times = []
|
|
|
|
for size in batch_sizes:
|
|
mock_series = []
|
|
for i in range(size):
|
|
serie = Mock()
|
|
serie.key = f"series_{i:02d}"
|
|
serie.name = f"Test Series {i}"
|
|
serie.folder = f"Series_{i:02d}"
|
|
serie.ensure_folder_with_year = Mock(return_value=serie.folder)
|
|
mock_series.append(serie)
|
|
|
|
mock_app = Mock()
|
|
mock_app.list.GetList.return_value = mock_series
|
|
|
|
mock_nfo_service = Mock(spec=NFOService)
|
|
mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
|
|
|
|
async def mock_create(*args, **kwargs):
|
|
await asyncio.sleep(0.01)
|
|
return Path("/test/tvshow.nfo")
|
|
|
|
mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create)
|
|
|
|
request = NFOBatchCreateRequest(
|
|
serie_ids=[f"series_{i:02d}" for i in range(size)],
|
|
max_concurrent=5,
|
|
skip_existing=False
|
|
)
|
|
|
|
start_time = time.time()
|
|
|
|
with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
|
|
patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
|
|
|
|
result = await batch_create_nfo(
|
|
request=request,
|
|
_auth={"username": "test"},
|
|
series_app=mock_app,
|
|
nfo_service=mock_nfo_service
|
|
)
|
|
|
|
elapsed_time = time.time() - start_time
|
|
batch_times.append(elapsed_time)
|
|
|
|
assert result.successful == size
|
|
|
|
# Verify linear scaling
|
|
for i in range(len(batch_times) - 1):
|
|
ratio = batch_times[i + 1] / batch_times[i]
|
|
size_ratio = batch_sizes[i + 1] / batch_sizes[i]
|
|
|
|
# Time should scale roughly with size (allow generous variance for small batches)
|
|
assert ratio < size_ratio * 10, \
|
|
f"Scaling worse than linear: {ratio:.2f}x time for {size_ratio}x size"
|
|
|
|
print("\nScalability:")
|
|
for size, time_taken in zip(batch_sizes, batch_times):
|
|
rate = size / time_taken
|
|
print(f" {size} series: {time_taken:.2f}s ({rate:.2f} series/sec)")
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_optimal_concurrency_level(self):
|
|
"""Test finding optimal concurrency level for batch operations."""
|
|
num_series = 20
|
|
concurrency_levels = [1, 3, 5, 10]
|
|
times = {}
|
|
|
|
for concurrency in concurrency_levels:
|
|
mock_series = []
|
|
for i in range(num_series):
|
|
serie = Mock()
|
|
serie.key = f"series_{i:02d}"
|
|
serie.name = f"Test Series {i}"
|
|
serie.folder = f"Series_{i:02d}"
|
|
serie.ensure_folder_with_year = Mock(return_value=serie.folder)
|
|
mock_series.append(serie)
|
|
|
|
mock_app = Mock()
|
|
mock_app.list.GetList.return_value = mock_series
|
|
|
|
mock_nfo_service = Mock(spec=NFOService)
|
|
mock_nfo_service.check_nfo_exists = AsyncMock(return_value=False)
|
|
|
|
async def mock_create(*args, **kwargs):
|
|
await asyncio.sleep(0.02)
|
|
return Path("/test/tvshow.nfo")
|
|
|
|
mock_nfo_service.create_tvshow_nfo = AsyncMock(side_effect=mock_create)
|
|
|
|
request = NFOBatchCreateRequest(
|
|
serie_ids=[f"series_{i:02d}" for i in range(num_series)],
|
|
max_concurrent=concurrency,
|
|
skip_existing=False
|
|
)
|
|
|
|
start_time = time.time()
|
|
|
|
with patch("src.server.api.nfo.get_series_app", return_value=mock_app), \
|
|
patch("src.server.api.nfo.get_nfo_service", return_value=mock_nfo_service):
|
|
|
|
result = await batch_create_nfo(
|
|
request=request,
|
|
_auth={"username": "test"},
|
|
series_app=mock_app,
|
|
nfo_service=mock_nfo_service
|
|
)
|
|
|
|
elapsed_time = time.time() - start_time
|
|
times[concurrency] = elapsed_time
|
|
|
|
assert result.successful == num_series
|
|
|
|
# Higher concurrency should be faster
|
|
assert times[10] < times[1], "Higher concurrency not faster"
|
|
|
|
# But diminishing returns (3 vs 1 should show more improvement than 10 vs 5)
|
|
improvement_3_vs_1 = (times[1] - times[3]) / times[1]
|
|
improvement_10_vs_5 = (times[5] - times[10]) / times[5]
|
|
|
|
assert improvement_3_vs_1 > 0.2, "Low concurrency improvement too small"
|
|
|
|
print("\nConcurrency levels:")
|
|
for level in concurrency_levels:
|
|
print(f" {level} concurrent: {times[level]:.2f}s")
|