# Test Data Management

## Seed Data Sets

| Data Set | Source File | Description | Used by Tests | How Loaded | Cleanup |
|----------|------------|-------------|---------------|-----------|---------|
| onnx-model | `input_data/azaion.onnx` | YOLO ONNX model (1280×1280 input, 19 classes, 81MB) | All detection tests | Volume mount to mock-loader `/models/azaion.onnx` | Container restart |
| classes-json | `classes.json` (repo root) | 19 detection classes with Id, Name, Color, MaxSizeM | All tests | Volume mount to detections `/app/classes.json` | Container restart |
| image-small | `input_data/image_small.jpg` | JPEG 1280×720 — below tiling threshold (1920×1920) | FT-P-01..03, 05, 07, 13..15, FT-N-03, 06, NFT-PERF-01..02, NFT-RES-01, 03, NFT-SEC-01, NFT-RES-LIM-01 | Volume mount to consumer `/media/` | N/A (read-only) |
| image-large | `input_data/image_large.JPG` | JPEG 6252×4168 — above tiling threshold, triggers GSD tiling | FT-P-04, 16, NFT-PERF-03 | Volume mount to consumer `/media/` | N/A (read-only) |
| image-dense-01 | `input_data/image_dense01.jpg` | JPEG 1280×720 — dense scene with many clustered objects | FT-P-06, NFT-RES-LIM-03 | Volume mount to consumer `/media/` | N/A (read-only) |
| image-dense-02 | `input_data/image_dense02.jpg` | JPEG 1920×1080 — dense scene variant, borderline tiling | FT-P-06 (variant) | Volume mount to consumer `/media/` | N/A (read-only) |
| image-different-types | `input_data/image_different_types.jpg` | JPEG 900×1600 — varied object classes for class variant tests | FT-P-13 | Volume mount to consumer `/media/` | N/A (read-only) |
| image-empty-scene | `input_data/image_empty_scene.jpg` | JPEG 1920×1080 — clean scene with no detectable objects | Edge case (zero detections) | Volume mount to consumer `/media/` | N/A (read-only) |
| video-short-01 | `input_data/video_short01.mp4` | MP4 video — standard async/SSE/video detection tests | FT-P-08..12, FT-N-04, 07, NFT-PERF-04, NFT-RES-02, NFT-SEC-03 | Volume mount to consumer `/media/` | N/A (read-only) |
| video-short-02 | `input_data/video_short02.mp4` | MP4 video — variant for concurrent and resilience tests | NFT-RES-02 (variant), NFT-RES-04 | Volume mount to consumer `/media/` | N/A (read-only) |
| video-long-03 | `input_data/video_long03.mp4` | MP4 long video (288MB) — generates >100 SSE events for overflow tests | FT-N-08, NFT-RES-LIM-02 | Volume mount to consumer `/media/` | N/A (read-only) |
| empty-image | Generated at build time | Zero-byte file | FT-N-01 | Generated in e2e/fixtures/ | N/A |
| corrupt-image | Generated at build time | Random binary garbage (not valid image format) | FT-N-02 | Generated in e2e/fixtures/ | N/A |
| jwt-token | Generated at runtime | Valid JWT with exp claim (not signature-verified by detections) | FT-P-08, 09, FT-N-04, 07, NFT-SEC-03 | Generated by consumer at runtime | N/A |

## Data Isolation Strategy

Each test run starts with fresh containers (`docker compose down -v && docker compose up`). The detections service is stateless — no persistent data between runs. Mock services reset their state on container restart. Tests that modify mock behavior (e.g., making loader unreachable) must run in isolated test groups.

## Input Data Mapping

| Input Data File | Source Location | Description | Covers Scenarios |
|-----------------|----------------|-------------|-----------------|
| data_parameters.md | `_docs/00_problem/input_data/data_parameters.md` | API parameter schemas, config defaults, classes.json structure | Informs all test input construction |
| azaion.onnx | `_docs/00_problem/input_data/azaion.onnx` | YOLO ONNX detection model | All detection tests |
| image_small.jpg | `_docs/00_problem/input_data/image_small.jpg` | 1280×720 aerial image | Single-frame detection, health, negative, perf tests |
| image_large.JPG | `_docs/00_problem/input_data/image_large.JPG` | 6252×4168 aerial image | Tiling tests |
| image_dense01.jpg | `_docs/00_problem/input_data/image_dense01.jpg` | Dense scene 1280×720 | Dedup, detection cap tests |
| image_dense02.jpg | `_docs/00_problem/input_data/image_dense02.jpg` | Dense scene 1920×1080 | Dedup variant |
| image_different_types.jpg | `_docs/00_problem/input_data/image_different_types.jpg` | Varied classes 900×1600 | Class variant tests |
| image_empty_scene.jpg | `_docs/00_problem/input_data/image_empty_scene.jpg` | Empty scene 1920×1080 | Zero-detection edge case |
| video_short01.mp4 | `_docs/00_problem/input_data/video_short01.mp4` | Standard video | Async, SSE, video, perf tests |
| video_short02.mp4 | `_docs/00_problem/input_data/video_short02.mp4` | Video variant | Resilience, concurrent tests |
| video_long03.mp4 | `_docs/00_problem/input_data/video_long03.mp4` | Long video (288MB) | SSE overflow, queue depth tests |
| classes.json | repo root `classes.json` | 19 detection classes | All tests |

## External Dependency Mocks

| External Service | Mock/Stub | How Provided | Behavior |
|-----------------|-----------|-------------|----------|
| Loader Service | HTTP stub | Docker service `mock-loader` | Serves ONNX model from volume on `GET /models/azaion.onnx`. Accepts TensorRT upload on `POST /upload`. Returns 404 for unknown files. Configurable: can simulate downtime (503) via control endpoint `POST /mock/config`. |
| Annotations Service | HTTP stub | Docker service `mock-annotations` | Accepts annotation POST on `POST /annotations` — stores in memory for verification. Provides token refresh on `POST /auth/refresh`. Configurable: can simulate downtime (503) via control endpoint `POST /mock/config`. Returns recorded annotations on `GET /mock/annotations` for test assertions. |

## Data Validation Rules

| Data Type | Validation | Invalid Examples | Expected System Behavior |
|-----------|-----------|-----------------|------------------------|
| Image file (POST /detect) | Non-empty bytes, decodable by OpenCV | Zero-byte file, random binary, text file | 400 Bad Request |
| media_id (POST /detect/{media_id}) | String, unique among active detections | Already-active media_id | 409 Conflict |
| AIConfigDto fields | probability_threshold: 0.0–1.0; frame_period_recognition: positive int; big_image_tile_overlap_percent: 0–100 | probability_threshold: -1 or 2.0; frame_period_recognition: 0 | System uses defaults or returns validation error |
| Authorization header | Bearer token format | Missing header, malformed JWT | Token forwarded to Annotations as-is; detections still proceeds |
| classes.json | JSON array of objects with Id, Name, Color, MaxSizeM | Missing file, empty array, malformed JSON | Service fails to start / returns empty detections |