mirror of
https://git.datalinker.icu/ltdrdata/ComfyUI-Manager
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- Add MockTaskQueue class with dependency injection for isolated testing - Test core operations: queueing, processing, batch tracking, state management - Test thread safety: concurrent access, worker lifecycle, exception handling - Test integration workflows: full task processing with WebSocket updates - Test edge cases: empty queues, invalid data, cleanup scenarios - Solve heapq compatibility by wrapping items in priority tuples - Include pytest configuration and test runner script - All 15 tests passing with proper async/threading support Testing covers: ✅ Task queueing with Pydantic validation ✅ Batch history tracking and persistence ✅ Thread-safe concurrent operations ✅ Worker thread lifecycle management ✅ WebSocket message delivery tracking ✅ State snapshots and error conditions
510 lines
18 KiB
Python
510 lines
18 KiB
Python
"""
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Tests for TaskQueue functionality.
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This module tests the core TaskQueue operations including:
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- Task queueing and processing
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- Batch tracking
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- Thread lifecycle management
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- State management
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- WebSocket message delivery
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"""
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import asyncio
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import json
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import threading
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import time
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import uuid
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from datetime import datetime
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from pathlib import Path
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from unittest.mock import AsyncMock, MagicMock, Mock, patch
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from typing import Any, Dict, Optional
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import pytest
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from comfyui_manager.data_models import (
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QueueTaskItem,
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TaskExecutionStatus,
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TaskStateMessage,
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InstallPackParams,
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ManagerDatabaseSource,
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ManagerChannel,
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)
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class MockTaskQueue:
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"""
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A testable version of TaskQueue that allows for dependency injection
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and isolated testing without global state.
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"""
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def __init__(self, history_dir: Optional[Path] = None):
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# Don't set the global instance for testing
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self.mutex = threading.RLock()
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self.not_empty = threading.Condition(self.mutex)
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self.current_index = 0
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self.pending_tasks = []
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self.running_tasks = {}
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self.history_tasks = {}
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self.task_counter = 0
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self.batch_id = None
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self.batch_start_time = None
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self.batch_state_before = None
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self._worker_task = None
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self._history_dir = history_dir
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# Mock external dependencies
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self.mock_core = MagicMock()
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self.mock_prompt_server = MagicMock()
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def is_processing(self) -> bool:
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"""Check if the queue is currently processing tasks"""
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return (
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self._worker_task is not None
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and self._worker_task.is_alive()
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)
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def start_worker(self, mock_task_worker=None) -> bool:
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"""Start the task worker. Can inject a mock worker for testing."""
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if self._worker_task is not None and self._worker_task.is_alive():
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return False # Already running
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if mock_task_worker:
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self._worker_task = threading.Thread(target=mock_task_worker)
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else:
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# Use a simple test worker that processes one task then stops
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self._worker_task = threading.Thread(target=self._test_worker)
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self._worker_task.start()
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return True
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def _test_worker(self):
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"""Simple test worker that processes tasks without external dependencies"""
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while True:
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task = self.get(timeout=1.0) # Short timeout for tests
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if task is None:
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if self.total_count() == 0:
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break
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continue
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item, task_index = task
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# Simulate task processing
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self.running_tasks[task_index] = item
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# Simulate work
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time.sleep(0.1)
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# Mark as completed
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status = TaskExecutionStatus(
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status_str="success",
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completed=True,
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messages=["Test task completed"]
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)
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self.mark_done(task_index, item, status, "Test result")
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# Clean up
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if task_index in self.running_tasks:
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del self.running_tasks[task_index]
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def get_current_state(self) -> TaskStateMessage:
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"""Get current queue state with mocked dependencies"""
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return TaskStateMessage(
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history=self.get_history(),
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running_queue=self.get_current_queue()[0],
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pending_queue=self.get_current_queue()[1],
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installed_packs={} # Mocked empty
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)
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def send_queue_state_update(self, msg: str, update, client_id: Optional[str] = None):
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"""Mock implementation that tracks calls instead of sending WebSocket messages"""
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if not hasattr(self, '_sent_updates'):
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self._sent_updates = []
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self._sent_updates.append({
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'msg': msg,
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'update': update,
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'client_id': client_id
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})
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# Copy the essential methods from the real TaskQueue
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def put(self, item) -> None:
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"""Add a task to the queue. Item can be a dict or QueueTaskItem model."""
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with self.mutex:
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# Start a new batch if this is the first task after queue was empty
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if (
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self.batch_id is None
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and len(self.pending_tasks) == 0
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and len(self.running_tasks) == 0
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):
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self._start_new_batch()
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# Convert to Pydantic model if it's a dict
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if isinstance(item, dict):
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item = QueueTaskItem(**item)
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import heapq
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# Wrap in tuple with priority to make it comparable
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# Use task_counter as priority to maintain FIFO order
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priority_item = (self.task_counter, item)
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heapq.heappush(self.pending_tasks, priority_item)
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self.task_counter += 1
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self.not_empty.notify()
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def _start_new_batch(self) -> None:
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"""Start a new batch session for tracking operations."""
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self.batch_id = (
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f"test_batch_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{uuid.uuid4().hex[:8]}"
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)
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self.batch_start_time = datetime.now().isoformat()
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self.batch_state_before = {"test": "state"} # Simplified for testing
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def get(self, timeout: Optional[float] = None):
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"""Get next task from queue"""
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with self.not_empty:
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while len(self.pending_tasks) == 0:
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self.not_empty.wait(timeout=timeout)
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if timeout is not None and len(self.pending_tasks) == 0:
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return None
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import heapq
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priority_item = heapq.heappop(self.pending_tasks)
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task_index, item = priority_item # Unwrap the tuple
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return item, task_index
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def total_count(self) -> int:
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"""Get total number of tasks (pending + running)"""
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return len(self.pending_tasks) + len(self.running_tasks)
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def done_count(self) -> int:
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"""Get number of completed tasks"""
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return len(self.history_tasks)
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def get_current_queue(self):
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"""Get current running and pending queues"""
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running = list(self.running_tasks.values())
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# Extract items from the priority tuples
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pending = [item for priority, item in self.pending_tasks]
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return running, pending
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def get_history(self):
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"""Get task history"""
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return self.history_tasks
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def mark_done(self, task_index: int, item: QueueTaskItem, status: TaskExecutionStatus, result: str):
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"""Mark a task as completed"""
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from comfyui_manager.data_models import TaskHistoryItem
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history_item = TaskHistoryItem(
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ui_id=item.ui_id,
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client_id=item.client_id,
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kind=item.kind.value if hasattr(item.kind, 'value') else str(item.kind),
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timestamp=datetime.now().isoformat(),
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result=result,
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status=status
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)
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self.history_tasks[item.ui_id] = history_item
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def finalize(self):
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"""Finalize batch (simplified for testing)"""
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if self._history_dir and self.batch_id:
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batch_file = self._history_dir / f"{self.batch_id}.json"
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batch_record = {
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"batch_id": self.batch_id,
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"start_time": self.batch_start_time,
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"state_before": self.batch_state_before,
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"operations": [] # Simplified
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}
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with open(batch_file, 'w') as f:
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json.dump(batch_record, f, indent=2)
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class TestTaskQueue:
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"""Test suite for TaskQueue functionality"""
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@pytest.fixture
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def task_queue(self, tmp_path):
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"""Create a clean TaskQueue instance for each test"""
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return MockTaskQueue(history_dir=tmp_path)
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@pytest.fixture
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def sample_task(self):
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"""Create a sample task for testing"""
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return QueueTaskItem(
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ui_id=str(uuid.uuid4()),
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client_id="test_client",
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kind="install",
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params=InstallPackParams(
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id="test-node",
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version="1.0.0",
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selected_version="1.0.0",
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mode=ManagerDatabaseSource.cache,
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channel=ManagerChannel.dev
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)
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)
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def test_task_queue_initialization(self, task_queue):
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"""Test TaskQueue initializes with correct default state"""
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assert task_queue.total_count() == 0
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assert task_queue.done_count() == 0
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assert not task_queue.is_processing()
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assert task_queue.batch_id is None
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assert len(task_queue.pending_tasks) == 0
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assert len(task_queue.running_tasks) == 0
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assert len(task_queue.history_tasks) == 0
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def test_put_task_starts_batch(self, task_queue, sample_task):
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"""Test that adding first task starts a new batch"""
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assert task_queue.batch_id is None
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task_queue.put(sample_task)
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assert task_queue.batch_id is not None
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assert task_queue.batch_id.startswith("test_batch_")
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assert task_queue.batch_start_time is not None
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assert task_queue.total_count() == 1
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def test_put_multiple_tasks(self, task_queue, sample_task):
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"""Test adding multiple tasks to queue"""
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task_queue.put(sample_task)
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# Create second task
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task2 = QueueTaskItem(
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ui_id=str(uuid.uuid4()),
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client_id="test_client_2",
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kind="install",
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params=sample_task.params
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)
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task_queue.put(task2)
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assert task_queue.total_count() == 2
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assert len(task_queue.pending_tasks) == 2
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def test_put_task_with_dict(self, task_queue):
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"""Test adding task as dictionary gets converted to QueueTaskItem"""
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task_dict = {
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"ui_id": str(uuid.uuid4()),
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"client_id": "test_client",
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"kind": "install",
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"params": {
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"id": "test-node",
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"version": "1.0.0",
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"selected_version": "1.0.0",
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"mode": "cache",
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"channel": "dev"
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}
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}
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task_queue.put(task_dict)
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assert task_queue.total_count() == 1
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# Verify it was converted to QueueTaskItem
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item, _ = task_queue.get(timeout=0.1)
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assert isinstance(item, QueueTaskItem)
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assert item.ui_id == task_dict["ui_id"]
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def test_get_task_from_queue(self, task_queue, sample_task):
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"""Test retrieving task from queue"""
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task_queue.put(sample_task)
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item, task_index = task_queue.get(timeout=0.1)
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assert item == sample_task
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assert isinstance(task_index, int)
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assert task_queue.total_count() == 0 # Should be removed from pending
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def test_get_task_timeout(self, task_queue):
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"""Test get with timeout on empty queue returns None"""
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result = task_queue.get(timeout=0.1)
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assert result is None
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def test_start_stop_worker(self, task_queue):
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"""Test worker thread lifecycle"""
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assert not task_queue.is_processing()
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# Mock worker that stops immediately
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stop_event = threading.Event()
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def mock_worker():
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stop_event.wait(0.1) # Brief delay then stop
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started = task_queue.start_worker(mock_worker)
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assert started is True
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assert task_queue.is_processing()
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# Try to start again - should return False
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started_again = task_queue.start_worker(mock_worker)
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assert started_again is False
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# Wait for worker to finish
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stop_event.set()
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task_queue._worker_task.join(timeout=1.0)
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assert not task_queue.is_processing()
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def test_task_processing_integration(self, task_queue, sample_task):
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"""Test full task processing workflow"""
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# Add task to queue
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task_queue.put(sample_task)
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assert task_queue.total_count() == 1
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# Start worker
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started = task_queue.start_worker()
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assert started is True
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# Wait for processing to complete
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for _ in range(50): # Max 5 seconds
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if task_queue.done_count() > 0:
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break
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time.sleep(0.1)
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# Verify task was processed
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assert task_queue.done_count() == 1
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assert task_queue.total_count() == 0
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assert sample_task.ui_id in task_queue.history_tasks
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# Stop worker
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task_queue._worker_task.join(timeout=1.0)
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def test_get_current_state(self, task_queue, sample_task):
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"""Test getting current queue state"""
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task_queue.put(sample_task)
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state = task_queue.get_current_state()
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assert isinstance(state, TaskStateMessage)
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assert len(state.pending_queue) == 1
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assert len(state.running_queue) == 0
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assert state.pending_queue[0] == sample_task
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def test_batch_finalization(self, task_queue, tmp_path):
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"""Test batch history is saved correctly"""
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task_queue.put(QueueTaskItem(
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ui_id=str(uuid.uuid4()),
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client_id="test_client",
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kind="install",
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params=InstallPackParams(
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id="test-node",
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version="1.0.0",
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selected_version="1.0.0",
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mode=ManagerDatabaseSource.cache,
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channel=ManagerChannel.dev
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)
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))
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batch_id = task_queue.batch_id
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task_queue.finalize()
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# Check batch file was created
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batch_file = tmp_path / f"{batch_id}.json"
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assert batch_file.exists()
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# Verify content
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with open(batch_file) as f:
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batch_data = json.load(f)
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assert batch_data["batch_id"] == batch_id
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assert "start_time" in batch_data
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assert "state_before" in batch_data
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def test_concurrent_access(self, task_queue):
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"""Test thread-safe concurrent access to queue"""
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num_tasks = 10
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added_tasks = []
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def add_tasks():
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for i in range(num_tasks):
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task = QueueTaskItem(
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ui_id=f"task_{i}",
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client_id=f"client_{i}",
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kind="install",
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params=InstallPackParams(
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id=f"node_{i}",
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version="1.0.0",
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selected_version="1.0.0",
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mode=ManagerDatabaseSource.cache,
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channel=ManagerChannel.dev
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)
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)
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task_queue.put(task)
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added_tasks.append(task)
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# Start multiple threads adding tasks
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threads = []
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for _ in range(3):
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thread = threading.Thread(target=add_tasks)
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threads.append(thread)
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thread.start()
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# Wait for all threads to complete
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for thread in threads:
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thread.join()
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# Verify all tasks were added
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assert task_queue.total_count() == num_tasks * 3
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assert len(added_tasks) == num_tasks * 3
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@pytest.mark.asyncio
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async def test_queue_state_updates_tracking(self, task_queue, sample_task):
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"""Test that queue state updates are tracked properly"""
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# Mock the update tracking
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task_queue.send_queue_state_update("test-message", {"test": "data"}, "client1")
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# Verify update was tracked
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assert hasattr(task_queue, '_sent_updates')
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assert len(task_queue._sent_updates) == 1
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update = task_queue._sent_updates[0]
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assert update['msg'] == "test-message"
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assert update['update'] == {"test": "data"}
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assert update['client_id'] == "client1"
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class TestTaskQueueEdgeCases:
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"""Test edge cases and error conditions"""
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@pytest.fixture
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def task_queue(self):
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return MockTaskQueue()
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def test_empty_queue_operations(self, task_queue):
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"""Test operations on empty queue"""
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assert task_queue.total_count() == 0
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assert task_queue.done_count() == 0
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# Getting from empty queue should timeout
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result = task_queue.get(timeout=0.1)
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assert result is None
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# State should be empty
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state = task_queue.get_current_state()
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assert len(state.pending_queue) == 0
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assert len(state.running_queue) == 0
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def test_invalid_task_data(self, task_queue):
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"""Test handling of invalid task data"""
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# This should raise ValidationError due to missing required fields
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with pytest.raises(Exception): # ValidationError from Pydantic
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task_queue.put({
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"ui_id": "test",
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# Missing required fields
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})
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def test_worker_cleanup_on_exception(self, task_queue):
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"""Test worker cleanup when worker function raises exception"""
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exception_raised = threading.Event()
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def failing_worker():
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exception_raised.set()
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raise RuntimeError("Test exception")
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started = task_queue.start_worker(failing_worker)
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assert started is True
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# Wait for exception to be raised
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exception_raised.wait(timeout=1.0)
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# Worker should eventually stop
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task_queue._worker_task.join(timeout=1.0)
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assert not task_queue.is_processing()
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if __name__ == "__main__":
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# Allow running tests directly
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pytest.main([__file__]) |