mirror of
https://github.com/azaion/ai-training.git
synced 2026-04-22 22:16:35 +00:00
Oleksandr Bezdieniezhnykh
142c6c4de8
- Replaced module-level path variables in constants.py with a structured Pydantic Config class. - Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure. - Fixed bugs related to image processing and model saving. - Enhanced test infrastructure to accommodate the new configuration approach. This refactor improves code maintainability and clarity by centralizing configuration management.
72 lines
2.5 KiB
Markdown
72 lines
2.5 KiB
Markdown
# Test Environment
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## Runtime Requirements
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| Requirement | Specification |
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|-------------|--------------|
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| Python | 3.10+ |
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| OS | Linux or macOS (POSIX filesystem paths) |
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| GPU | Optional — ONNX inference falls back to CPUExecutionProvider |
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| Disk | Temp directory for fixture data (~500MB for augmentation output) |
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| Network | Not required (all tests are offline) |
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## Execution Modes
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Tests MUST be runnable in two ways:
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### 1. Local (no Docker) — primary mode
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Run directly on the host machine. Required for macOS development where Docker has GPU/performance limitations.
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```bash
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scripts/run-tests-local.sh
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```
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### 2. Docker — CI/portable mode
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Run inside a container for reproducible CI environments (Linux-based CI runners).
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```bash
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docker compose -f docker-compose.test.yml up --build --abort-on-container-exit
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```
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Both modes run the same pytest suite; the only difference is the runtime environment.
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## Dependencies
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All test dependencies are a subset of the production `requirements.txt` plus pytest:
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| Package | Purpose |
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|---------|---------|
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| pytest | Test runner |
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| albumentations | Augmentation tests |
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| opencv-python-headless | Image I/O (headless — no GUI) |
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| numpy | Array operations |
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| onnxruntime | ONNX inference (CPU fallback) |
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| cryptography | Encryption tests |
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| msgpack | Annotation queue message tests |
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| PyYAML | Config/YAML generation tests |
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## Fixture Data
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| Fixture | Location | Size |
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|---------|----------|------|
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| 100 annotated images | `_docs/00_problem/input_data/dataset/images/` | ~50MB |
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| 100 YOLO labels | `_docs/00_problem/input_data/dataset/labels/` | ~10KB |
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| ONNX model | `_docs/00_problem/input_data/azaion.onnx` | 81MB |
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| Class definitions | `classes.json` (project root) | 2KB |
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## Test Isolation
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- Each test creates a temporary directory (via `tmp_path` pytest fixture) for filesystem operations
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- No tests modify the actual `/azaion/` directory structure
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- No tests require running external services (RabbitMQ, Azaion API, S3 CDN)
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- Constants paths are patched/overridden to point to temp directories during tests
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## Excluded (Require External Services)
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| Component | Service Required | Reason for Exclusion |
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|-----------|-----------------|---------------------|
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| API upload/download | Azaion REST API | No mock server; real API has auth |
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| CDN upload/download | S3-compatible CDN | No mock S3; real CDN has credentials |
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| Queue consumption | RabbitMQ Streams | No mock broker; rstream requires live connection |
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| TensorRT inference | NVIDIA GPU + TensorRT | Hardware-specific; cannot run in CI without GPU |
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