[CI]【Hackathon 9th Sprint No.51】NO.51 功能模块 fastdeploy/scheduler/dp_scheduler.py 单测补充

tests/scheduler/README.md

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+# DP Scheduler Unit Tests
+
+This directory contains unit tests for the `fastdeploy/scheduler/dp_scheduler.py` module.
+
+## Test Files
+
+### `test_dp_scheduler_simple.py` (Recommended)
+Simplified unit tests that don't require complex imports. These tests provide comprehensive coverage of the DP scheduler functionality including:
+
+- **DPLocalScheduler functionality:**
+  - Initialization with different configurations
+  - Request lifecycle management
+  - Response handling and routing
+  - Resource-based request scheduling
+  - Recycling of expired/completed requests
+  - Splitwise role handling (prefill vs decode)
+
+- **DPScheduler functionality:**
+  - Multi-threaded request/response processing
+  - Integration with multiprocessing queues
+  - Request validation (dp_rank requirement)
+  - Delegation to internal scheduler
+
+- **Edge cases and error handling:**
+  - Resource constraint scenarios
+  - Timeout behavior
+  - Thread-safe concurrent operations
+  - Malformed request handling
+
+### `test_dp_scheduler.py`
+Full-featured unit tests that attempt to import the actual FastDeploy modules. These tests provide more detailed testing but require a proper FastDeploy installation.
+
+## Running Tests
+
+### Simple Tests (Works without installation)
+```bash
+python tests/scheduler/test_dp_scheduler_simple.py
+```
+
+### Full Tests (Requires FastDeploy installation)
+```bash
+# If FastDeploy is properly installed:
+python tests/scheduler/test_dp_scheduler.py
+
+# If using standalone mode (no installation):
+FD_TEST_MODE=standalone python tests/scheduler/test_dp_scheduler.py
+```
+
+### Using pytest (if available)
+```bash
+pytest tests/scheduler/ -v
+```
+
+## Test Coverage
+
+The unit tests cover the following key aspects of the DP Scheduler:
+
+### 1. Request Management
+- Adding requests to the scheduler queue
+- Request ID tracking and management
+- Request expiration and cleanup (TTL)
+- Request prioritization based on availability
+
+### 2. Response Handling
+- Processing finished request responses
+- Response routing to appropriate queues
+- Response aggregation and batching
+- Logging of completed requests
+
+### 3. Resource Management
+- Block allocation and calculation
+- Token limit enforcement
+- Batch size optimization
+- Memory usage tracking
+
+### 4. Multi-threading Support
+- Concurrent request processing
+- Thread-safe operations with mutexes
+- Background thread management
+- Queue-based communication
+
+### 5. Splitwise Role Support
+- Prefill role behavior (default)
+- Decode role behavior
+- Role-specific request recycling
+- Resource allocation based on role
+
+### 6. Error Handling
+- Invalid request detection
+- Missing attribute validation
+- Resource constraint handling
+- Timeout management
+
+## Architecture Testing
+
+The tests validate the following architectural patterns:
+
+### DPLocalScheduler
+- Extends `LocalScheduler` with DP-specific functionality
+- Manages request lifecycle with TTL support
+- Handles response aggregation and logging
+- Supports both prefill and decode roles
+
+### DPScheduler
+- Wraps `DPLocalScheduler` with threading support
+- Manages inter-process communication via queues
+- Coordinates request distribution across multiple workers
+- Provides clean interface for DP operations
+
+## Test Methodologies
+
+### Mocking Strategy
+- Uses `unittest.mock` for dependency injection
+- Simulates complex object interactions
+- Avoids heavy dependencies on external modules
+
+### Concurrency Testing
+- Tests thread-safe operations with multiple threads
+- Validates mutex and condition variable usage
+- Ensures proper synchronization
+
+### Edge Case Coverage
+- Tests with boundary conditions (empty queues, max limits)
+- Validates error paths and exception handling
+- Tests timeout and resource exhaustion scenarios
+
+## Development Guidelines
+
+When adding new tests:
+
+1. **Follow the existing pattern**: Use descriptive test method names
+2. **Use mocking**: Avoid heavy dependencies where possible
+3. **Test both success and failure paths**: Ensure comprehensive coverage
+4. **Include edge cases**: Test boundary conditions and error scenarios
+5. **Document complex scenarios**: Add comments for non-obvious test logic
+6. **Use the simple test file**: Prefer `test_dp_scheduler_simple.py` for new tests
+
+## Integration Notes
+
+These tests are designed to work with:
+- Python 3.7+
+- Standard library (unittest, threading, multiprocessing)
+- No external dependencies required for simple tests
+
+The tests follow the project's testing conventions and are compatible with the CI/CD pipeline.