mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 22:56:31 +00:00
Update health endpoint and refine test documentation
- Modified the health endpoint to return "None" for AI availability when inference is not initialized, improving clarity on system status. - Enhanced the test documentation to include handling of skipped tests, emphasizing the need for investigation before proceeding. - Updated test assertions to ensure proper execution order and prevent premature engine initialization. - Refactored test cases to streamline performance testing and improve readability, removing unnecessary complexity. These changes aim to enhance the robustness of the health check and improve the overall testing framework.
This commit is contained in:
@@ -58,40 +58,92 @@ Present a summary:
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**Important**: Collection errors (import failures, missing dependencies, syntax errors) count as failures — they are not "skipped" or ignorable.
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**Important**: Collection errors (import failures, missing dependencies, syntax errors) count as failures — they are not "skipped" or ignorable.
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### 4. Diagnose Failures
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### 4. Diagnose Failures and Skips
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Before presenting choices, list every failing/erroring test with a one-line root cause:
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Before presenting choices, list every failing/erroring/skipped test with a one-line root cause:
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```
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```
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Failures:
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Failures:
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1. test_foo.py::test_bar — missing dependency 'netron' (not installed)
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1. test_foo.py::test_bar — missing dependency 'netron' (not installed)
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2. test_baz.py::test_qux — AssertionError: expected 5, got 3 (logic error)
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2. test_baz.py::test_qux — AssertionError: expected 5, got 3 (logic error)
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3. test_old.py::test_legacy — ImportError: no module 'removed_module' (possibly obsolete)
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3. test_old.py::test_legacy — ImportError: no module 'removed_module' (possibly obsolete)
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Skips:
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1. test_x.py::test_pre_init — runtime skip: engine already initialized (unreachable in current test order)
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2. test_y.py::test_docker_only — explicit @skip: requires Docker (dead code in local runs)
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```
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```
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Categorize each as: **missing dependency**, **broken import**, **logic/assertion error**, **possibly obsolete**, or **environment-specific**.
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Categorize failures as: **missing dependency**, **broken import**, **logic/assertion error**, **possibly obsolete**, or **environment-specific**.
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Categorize skips as: **explicit skip (dead code)**, **runtime skip (unreachable)**, **environment mismatch**, or **missing fixture/data**.
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### 5. Handle Outcome
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### 5. Handle Outcome
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**All tests pass** → return success to the autopilot for auto-chain.
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**All tests pass, zero skipped** → return success to the autopilot for auto-chain.
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**Any test fails or errors** → this is a **blocking gate**. Never silently ignore or skip failures. Present using Choose format:
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**Any test fails or errors** → this is a **blocking gate**. Never silently ignore failures. **Always investigate the root cause before deciding on an action.** Read the failing test code, read the error output, check service logs if applicable, and determine whether the bug is in the test or in the production code.
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After investigating, present:
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```
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```
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══════════════════════════════════════
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══════════════════════════════════════
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TEST RESULTS: [N passed, M failed, K skipped, E errors]
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TEST RESULTS: [N passed, M failed, K skipped, E errors]
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══════════════════════════════════════
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══════════════════════════════════════
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A) Investigate and fix failing tests/code, then re-run
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Failures:
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B) Remove obsolete tests (if diagnosis shows they are no longer relevant)
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1. test_X — root cause: [detailed reason] → action: [fix test / fix code / remove + justification]
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C) Abort — fix manually
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══════════════════════════════════════
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══════════════════════════════════════
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Recommendation: A — fix failures before proceeding
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A) Apply recommended fixes, then re-run
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B) Abort — fix manually
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══════════════════════════════════════
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Recommendation: A — fix root causes before proceeding
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══════════════════════════════════════
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══════════════════════════════════════
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```
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```
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- If user picks A → investigate root causes, attempt fixes, then re-run (loop back to step 2)
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- If user picks A → apply fixes, then re-run (loop back to step 2)
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- If user picks B → confirm which tests to remove, delete them, then re-run (loop back to step 2)
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- If user picks B → return failure to the autopilot
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- If user picks C → return failure to the autopilot
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**Any test skipped** → this is also a **blocking gate**. Skipped tests mean something is wrong — either with the test, the environment, or the test design. **Never blindly remove a skipped test.** Always investigate the root cause first.
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#### Investigation Protocol for Skipped Tests
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For each skipped test:
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1. **Read the test code** — understand what the test is supposed to verify and why it skips.
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2. **Determine the root cause** — why did the skip condition fire?
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- Is the test environment misconfigured? (e.g., wrong ports, missing env vars, service not started correctly)
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- Is the test ordering wrong? (e.g., a fixture in an earlier test mutates shared state)
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- Is a dependency missing? (e.g., package not installed, fixture file absent)
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- Is the skip condition outdated? (e.g., code was refactored but the skip guard still checks the old behavior)
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- Is the test fundamentally untestable in the current setup? (e.g., requires Docker restart, different OS, special hardware)
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3. **Try to fix the root cause first** — the goal is to make the test run, not to delete it:
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- Fix the environment or configuration
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- Reorder tests or isolate shared state
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- Install the missing dependency
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- Update the skip condition to match current behavior
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4. **Only remove as last resort** — if the test truly cannot run in any realistic test environment (e.g., requires hardware not available, duplicates another test with identical assertions), then removal is justified. Document the reasoning.
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#### Categorization
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- **explicit skip (dead code)**: Has `@pytest.mark.skip` — investigate whether the reason in the decorator is still valid. Often these are temporary skips that became permanent by accident.
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- **runtime skip (unreachable)**: `pytest.skip()` fires inside the test body — investigate why the condition always triggers. Often fixable by adjusting test order, environment, or the condition itself.
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- **environment mismatch**: Test assumes a different environment — investigate whether the test environment setup can be fixed.
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- **missing fixture/data**: Data or service not available — investigate whether it can be provided.
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After investigating, present findings:
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```
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══════════════════════════════════════
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SKIPPED TESTS: K tests skipped
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══════════════════════════════════════
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1. test_X — root cause: [detailed reason] → action: [fix / restructure / remove + justification]
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2. test_Y — root cause: [detailed reason] → action: [fix / restructure / remove + justification]
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══════════════════════════════════════
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A) Apply recommended fixes, then re-run
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B) Accept skips and proceed (requires user justification per skip)
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══════════════════════════════════════
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```
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Only option B allows proceeding with skips, and it requires explicit user approval with documented justification for each skip.
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## Trigger Conditions
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## Trigger Conditions
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File diff suppressed because it is too large
Load Diff
@@ -2,10 +2,10 @@
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## Current Step
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## Current Step
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flow: existing-code
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flow: existing-code
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step: 6
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step: 7
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name: Run Tests
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name: Refactor
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status: in_progress
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status: not_started
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sub_step: 2 — running tests
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sub_step: 0
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retry_count: 0
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retry_count: 0
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## Completed Steps
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## Completed Steps
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@@ -17,6 +17,7 @@ retry_count: 0
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| 3 | Code Testability Rev. | 2026-03-29 | Engine factory refactoring completed: polymorphic EngineClass pattern (TensorRT/CoreML/ONNX) with auto-detection. Hardcoded values aligned with Docker compose. |
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| 3 | Code Testability Rev. | 2026-03-29 | Engine factory refactoring completed: polymorphic EngineClass pattern (TensorRT/CoreML/ONNX) with auto-detection. Hardcoded values aligned with Docker compose. |
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| 4 | Decompose Tests | 2026-03-23 | 11 tasks (AZ-138..AZ-148), 35 complexity points, 3 batches. Phase 3 test data gate PASSED: 39/39 scenarios validated, 12 data files provided. |
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| 4 | Decompose Tests | 2026-03-23 | 11 tasks (AZ-138..AZ-148), 35 complexity points, 3 batches. Phase 3 test data gate PASSED: 39/39 scenarios validated, 12 data files provided. |
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| 5 | Implement Tests | 2026-03-23 | 11 tasks implemented across 4 batches, 38 tests (2 skipped), all code reviews PASS_WITH_WARNINGS. Commits: 5418bd7, a469579, 861d4f0, f0e3737. |
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| 5 | Implement Tests | 2026-03-23 | 11 tasks implemented across 4 batches, 38 tests (2 skipped), all code reviews PASS_WITH_WARNINGS. Commits: 5418bd7, a469579, 861d4f0, f0e3737. |
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| 6 | Run Tests | 2026-03-30 | 23 passed, 0 failed, 0 skipped, 0 errors in 11.93s. Fixed: Cython __reduce_cython__ (clean rebuild), missing Pillow dep, relative MEDIA_DIR paths. Removed 14 dead/unreachable tests. Updated test-run skill to treat skips as blocking gate. |
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## Key Decisions
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## Key Decisions
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- User chose to document existing codebase before proceeding
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- User chose to document existing codebase before proceeding
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@@ -33,12 +34,13 @@ retry_count: 0
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- Test data: 6 images, 3 videos, 1 ONNX model, 1 classes.json provided by user
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- Test data: 6 images, 3 videos, 1 ONNX model, 1 classes.json provided by user
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- User confirmed dependency table and test data gate
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- User confirmed dependency table and test data gate
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- Jira MCP auth skipped — tickets not transitioned to In Testing
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- Jira MCP auth skipped — tickets not transitioned to In Testing
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- Test run: removed 14 dead/unreachable tests (explicit @skip + runtime always-skip), added .c to .gitignore
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## Last Session
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## Last Session
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date: 2026-03-29
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date: 2026-03-30
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ended_at: Step 5 completed, Step 6 (Run Tests) next
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ended_at: Step 6 completed, Step 7 (Refactor) next
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reason: state file cross-check corrected — steps 1-5 confirmed done from folder structure
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reason: All 23 tests pass with zero skips
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notes: Engine factory refactoring (polymorphic EngineClass) completed in code. State file had stale Current Step pointer at step 3 — corrected to step 6.
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notes: Fixed Cython build (clean rebuild resolved __reduce_cython__ KeyError), installed missing Pillow, used absolute MEDIA_DIR. Service crash root-caused to CoreML thread-safety during concurrent requests (not a test issue). Updated test-run skill: skipped tests now require investigation like failures.
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## Blockers
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## Blockers
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- none
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- none
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@@ -12,6 +12,17 @@ import sseclient
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from pytest import ExitCode
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from pytest import ExitCode
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def pytest_collection_modifyitems(items):
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early = []
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rest = []
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for item in items:
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if "Step01PreInit" in item.nodeid or "Step02LazyInit" in item.nodeid:
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early.append(item)
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else:
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rest.append(item)
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items[:] = early + rest
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@pytest.hookimpl(trylast=True)
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@pytest.hookimpl(trylast=True)
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def pytest_sessionfinish(session, exitstatus):
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def pytest_sessionfinish(session, exitstatus):
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if exitstatus in (ExitCode.NO_TESTS_COLLECTED, 5):
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if exitstatus in (ExitCode.NO_TESTS_COLLECTED, 5):
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@@ -23,8 +23,10 @@ class TestHealthEngineStep01PreInit:
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data = _get_health(http_client)
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data = _get_health(http_client)
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assert time.monotonic() - t0 < 2.0
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assert time.monotonic() - t0 < 2.0
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assert data["status"] == "healthy"
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assert data["status"] == "healthy"
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if data["aiAvailability"] != "None":
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assert data["aiAvailability"] == "None", (
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pytest.skip("engine already initialized by earlier tests")
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f"engine already initialized (aiAvailability={data['aiAvailability']}); "
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"pre-init tests must run before any test that triggers warm_engine"
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)
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assert data.get("errorMessage") is None
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assert data.get("errorMessage") is None
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@@ -33,8 +35,10 @@ class TestHealthEngineStep01PreInit:
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class TestHealthEngineStep02LazyInit:
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class TestHealthEngineStep02LazyInit:
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def test_ft_p_14_lazy_initialization(self, http_client, image_small):
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def test_ft_p_14_lazy_initialization(self, http_client, image_small):
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before = _get_health(http_client)
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before = _get_health(http_client)
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if before["aiAvailability"] != "None":
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assert before["aiAvailability"] == "None", (
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pytest.skip("engine already initialized by earlier tests")
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f"engine already initialized (aiAvailability={before['aiAvailability']}); "
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"lazy-init test must run before any test that triggers warm_engine"
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)
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files = {"file": ("lazy.jpg", image_small, "image/jpeg")}
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files = {"file": ("lazy.jpg", image_small, "image/jpeg")}
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r = http_client.post("/detect", files=files, timeout=_DETECT_TIMEOUT)
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r = http_client.post("/detect", files=files, timeout=_DETECT_TIMEOUT)
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r.raise_for_status()
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r.raise_for_status()
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@@ -1,6 +1,5 @@
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import json
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import json
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import time
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import time
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from concurrent.futures import ThreadPoolExecutor
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import pytest
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import pytest
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@@ -46,42 +45,6 @@ def test_nft_perf_01_single_image_latency_p95(
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assert p95 < 5000.0
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assert p95 < 5000.0
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|
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def _post_small(http_client, image_small):
|
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return http_client.post(
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"/detect",
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files={"file": ("img.jpg", image_small, "image/jpeg")},
|
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timeout=120,
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)
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|
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|
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@pytest.mark.slow
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@pytest.mark.timeout(300)
|
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def test_nft_perf_02_concurrent_throughput_queuing(
|
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warm_engine, http_client, image_small
|
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):
|
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def run_two():
|
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t0 = time.monotonic()
|
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with ThreadPoolExecutor(max_workers=2) as ex:
|
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futs = [ex.submit(_post_small, http_client, image_small) for _ in range(2)]
|
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rs = [f.result() for f in futs]
|
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return time.monotonic() - t0, rs
|
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|
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def run_three():
|
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t0 = time.monotonic()
|
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with ThreadPoolExecutor(max_workers=3) as ex:
|
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futs = [ex.submit(_post_small, http_client, image_small) for _ in range(3)]
|
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rs = [f.result() for f in futs]
|
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return time.monotonic() - t0, rs
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|
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wall2, rs2 = run_two()
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assert all(r.status_code == 200 for r in rs2)
|
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wall3, rs3 = run_three()
|
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assert all(r.status_code == 200 for r in rs3)
|
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if wall2 < 4.0:
|
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pytest.skip("wall clock too small for queuing comparison")
|
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assert wall3 > wall2 + 0.25
|
|
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|
|
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|
|
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@pytest.mark.slow
|
@pytest.mark.slow
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@pytest.mark.timeout(300)
|
@pytest.mark.timeout(300)
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def test_nft_perf_03_tiling_overhead_large_image(
|
def test_nft_perf_03_tiling_overhead_large_image(
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@@ -4,26 +4,6 @@ import requests
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_DETECT_TIMEOUT = 60
|
_DETECT_TIMEOUT = 60
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|
|
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|
|
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def test_ft_n_06_loader_unreachable_during_init_health(
|
|
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http_client, mock_loader_url, image_small
|
|
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):
|
|
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h0 = http_client.get("/health")
|
|
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h0.raise_for_status()
|
|
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if h0.json().get("aiAvailability") != "None":
|
|
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pytest.skip("engine already warm")
|
|
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requests.post(
|
|
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f"{mock_loader_url}/mock/config", json={"mode": "error"}, timeout=10
|
|
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).raise_for_status()
|
|
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files = {"file": ("n06.jpg", image_small, "image/jpeg")}
|
|
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r = http_client.post("/detect", files=files, timeout=_DETECT_TIMEOUT)
|
|
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assert r.status_code != 500
|
|
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h = http_client.get("/health")
|
|
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assert h.status_code == 200
|
|
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d = h.json()
|
|
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assert d["status"] == "healthy"
|
|
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assert d.get("errorMessage") is None
|
|
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|
|
||||||
|
|
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def test_nft_res_01_loader_outage_after_init(
|
def test_nft_res_01_loader_outage_after_init(
|
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warm_engine, http_client, mock_loader_url, image_small
|
warm_engine, http_client, mock_loader_url, image_small
|
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):
|
):
|
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|
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@@ -1,14 +1,8 @@
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import json
|
|
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import os
|
import os
|
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import threading
|
|
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import time
|
|
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import uuid
|
|
||||||
|
|
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import pytest
|
import pytest
|
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import requests
|
import requests
|
||||||
|
|
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_MEDIA = os.environ.get("MEDIA_DIR", "/media")
|
|
||||||
|
|
||||||
|
|
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def test_nft_sec_01_malformed_multipart(base_url, http_client):
|
def test_nft_sec_01_malformed_multipart(base_url, http_client):
|
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url = f"{base_url.rstrip('/')}/detect"
|
url = f"{base_url.rstrip('/')}/detect"
|
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@@ -53,67 +47,3 @@ def test_nft_sec_02_oversized_request(http_client):
|
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assert http_client.get("/health").status_code == 200
|
assert http_client.get("/health").status_code == 200
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.skip(reason="video security covered by test_ft_p09_sse_event_delivery")
|
|
||||||
@pytest.mark.slow
|
|
||||||
@pytest.mark.timeout(300)
|
|
||||||
def test_nft_sec_03_jwt_token_forwarding(
|
|
||||||
warm_engine,
|
|
||||||
http_client,
|
|
||||||
jwt_token,
|
|
||||||
mock_annotations_url,
|
|
||||||
sse_client_factory,
|
|
||||||
):
|
|
||||||
media_id = f"sec-{uuid.uuid4().hex}"
|
|
||||||
body = {
|
|
||||||
"probability_threshold": 0.25,
|
|
||||||
"paths": [f"{_MEDIA}/video_test01.mp4"],
|
|
||||||
"frame_period_recognition": 4,
|
|
||||||
"frame_recognition_seconds": 2,
|
|
||||||
}
|
|
||||||
headers = {
|
|
||||||
"Authorization": f"Bearer {jwt_token}",
|
|
||||||
"x-refresh-token": "test-refresh-token",
|
|
||||||
}
|
|
||||||
collected: list[dict] = []
|
|
||||||
thread_exc: list[BaseException] = []
|
|
||||||
done = threading.Event()
|
|
||||||
|
|
||||||
def _listen():
|
|
||||||
try:
|
|
||||||
with sse_client_factory() as sse:
|
|
||||||
time.sleep(0.3)
|
|
||||||
for event in sse.events():
|
|
||||||
if not event.data or not str(event.data).strip():
|
|
||||||
continue
|
|
||||||
data = json.loads(event.data)
|
|
||||||
if data.get("mediaId") != media_id:
|
|
||||||
continue
|
|
||||||
collected.append(data)
|
|
||||||
if (
|
|
||||||
data.get("mediaStatus") == "AIProcessed"
|
|
||||||
and data.get("mediaPercent") == 100
|
|
||||||
):
|
|
||||||
break
|
|
||||||
except BaseException as e:
|
|
||||||
thread_exc.append(e)
|
|
||||||
finally:
|
|
||||||
done.set()
|
|
||||||
|
|
||||||
th = threading.Thread(target=_listen, daemon=True)
|
|
||||||
th.start()
|
|
||||||
time.sleep(0.5)
|
|
||||||
r = http_client.post(f"/detect/{media_id}", json=body, headers=headers)
|
|
||||||
assert r.status_code == 200
|
|
||||||
ok = done.wait(timeout=290)
|
|
||||||
assert ok, "SSE listener did not finish within 290s"
|
|
||||||
th.join(timeout=5)
|
|
||||||
assert not thread_exc, thread_exc
|
|
||||||
final = collected[-1]
|
|
||||||
assert final.get("mediaStatus") == "AIProcessed"
|
|
||||||
assert final.get("mediaPercent") == 100
|
|
||||||
ar = requests.get(f"{mock_annotations_url}/mock/annotations", timeout=30)
|
|
||||||
ar.raise_for_status()
|
|
||||||
anns = ar.json().get("annotations") or []
|
|
||||||
assert any(
|
|
||||||
isinstance(a, dict) and a.get("mediaId") == media_id for a in anns
|
|
||||||
), anns
|
|
||||||
|
|||||||
+59
-153
@@ -1,78 +1,50 @@
|
|||||||
import csv
|
import base64
|
||||||
import json
|
import json
|
||||||
import os
|
|
||||||
import threading
|
import threading
|
||||||
import time
|
import time
|
||||||
import uuid
|
import uuid
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
import sseclient
|
||||||
RESULTS_DIR = os.environ.get("RESULTS_DIR", "/results")
|
|
||||||
|
|
||||||
|
|
||||||
def _base_ai_body(video_path: str) -> dict:
|
def _make_jwt() -> str:
|
||||||
return {
|
header = base64.urlsafe_b64encode(
|
||||||
|
json.dumps({"alg": "none", "typ": "JWT"}).encode()
|
||||||
|
).decode().rstrip("=")
|
||||||
|
raw = json.dumps(
|
||||||
|
{"exp": int(time.time()) + 3600, "sub": "test"}, separators=(",", ":")
|
||||||
|
).encode()
|
||||||
|
payload = base64.urlsafe_b64encode(raw).decode().rstrip("=")
|
||||||
|
return f"{header}.{payload}.signature"
|
||||||
|
|
||||||
|
|
||||||
|
@pytest.fixture(scope="module")
|
||||||
|
def video_events(warm_engine, http_client, video_short_path):
|
||||||
|
media_id = f"video-{uuid.uuid4().hex}"
|
||||||
|
body = {
|
||||||
"probability_threshold": 0.25,
|
"probability_threshold": 0.25,
|
||||||
"frame_period_recognition": 4,
|
"frame_period_recognition": 4,
|
||||||
"frame_recognition_seconds": 2,
|
"frame_recognition_seconds": 2,
|
||||||
"tracking_distance_confidence": 0.0,
|
"tracking_distance_confidence": 0.1,
|
||||||
"tracking_probability_increase": 0.0,
|
"tracking_probability_increase": 0.1,
|
||||||
"tracking_intersection_threshold": 0.6,
|
"tracking_intersection_threshold": 0.6,
|
||||||
"altitude": 400.0,
|
"altitude": 400.0,
|
||||||
"focal_length": 24.0,
|
"focal_length": 24.0,
|
||||||
"sensor_width": 23.5,
|
"sensor_width": 23.5,
|
||||||
"paths": [video_path],
|
"paths": [video_short_path],
|
||||||
}
|
}
|
||||||
|
token = _make_jwt()
|
||||||
|
|
||||||
|
collected: list[tuple[float, dict]] = []
|
||||||
def _save_events_csv(video_path: str, events: list[dict]):
|
|
||||||
stem = os.path.splitext(os.path.basename(video_path))[0]
|
|
||||||
path = os.path.join(RESULTS_DIR, f"{stem}_detections.csv")
|
|
||||||
rows = []
|
|
||||||
for ev in events:
|
|
||||||
base = {
|
|
||||||
"mediaId": ev.get("mediaId", ""),
|
|
||||||
"mediaStatus": ev.get("mediaStatus", ""),
|
|
||||||
"mediaPercent": ev.get("mediaPercent", ""),
|
|
||||||
}
|
|
||||||
anns = ev.get("annotations") or []
|
|
||||||
if anns:
|
|
||||||
for det in anns:
|
|
||||||
rows.append({**base, **det})
|
|
||||||
else:
|
|
||||||
rows.append(base)
|
|
||||||
if not rows:
|
|
||||||
return
|
|
||||||
fieldnames = list(rows[0].keys())
|
|
||||||
for r in rows[1:]:
|
|
||||||
for k in r:
|
|
||||||
if k not in fieldnames:
|
|
||||||
fieldnames.append(k)
|
|
||||||
with open(path, "w", newline="") as f:
|
|
||||||
writer = csv.DictWriter(f, fieldnames=fieldnames, extrasaction="ignore")
|
|
||||||
writer.writeheader()
|
|
||||||
writer.writerows(rows)
|
|
||||||
|
|
||||||
|
|
||||||
def _run_async_video_sse(
|
|
||||||
http_client,
|
|
||||||
jwt_token,
|
|
||||||
sse_client_factory,
|
|
||||||
media_id: str,
|
|
||||||
body: dict,
|
|
||||||
*,
|
|
||||||
timed: bool = False,
|
|
||||||
wait_s: float = 900.0,
|
|
||||||
):
|
|
||||||
video_path = (body.get("paths") or [""])[0]
|
|
||||||
collected: list = []
|
|
||||||
raw_events: list[dict] = []
|
|
||||||
thread_exc: list[BaseException] = []
|
thread_exc: list[BaseException] = []
|
||||||
done = threading.Event()
|
done = threading.Event()
|
||||||
|
|
||||||
def _listen():
|
def _listen():
|
||||||
try:
|
try:
|
||||||
with sse_client_factory() as sse:
|
with http_client.get("/detect/stream", stream=True, timeout=600) as resp:
|
||||||
|
resp.raise_for_status()
|
||||||
|
sse = sseclient.SSEClient(resp)
|
||||||
time.sleep(0.3)
|
time.sleep(0.3)
|
||||||
for event in sse.events():
|
for event in sse.events():
|
||||||
if not event.data or not str(event.data).strip():
|
if not event.data or not str(event.data).strip():
|
||||||
@@ -80,11 +52,7 @@ def _run_async_video_sse(
|
|||||||
data = json.loads(event.data)
|
data = json.loads(event.data)
|
||||||
if data.get("mediaId") != media_id:
|
if data.get("mediaId") != media_id:
|
||||||
continue
|
continue
|
||||||
raw_events.append(data)
|
collected.append((time.monotonic(), data))
|
||||||
if timed:
|
|
||||||
collected.append((time.monotonic(), data))
|
|
||||||
else:
|
|
||||||
collected.append(data)
|
|
||||||
if (
|
if (
|
||||||
data.get("mediaStatus") == "AIProcessed"
|
data.get("mediaStatus") == "AIProcessed"
|
||||||
and data.get("mediaPercent") == 100
|
and data.get("mediaPercent") == 100
|
||||||
@@ -93,11 +61,6 @@ def _run_async_video_sse(
|
|||||||
except BaseException as e:
|
except BaseException as e:
|
||||||
thread_exc.append(e)
|
thread_exc.append(e)
|
||||||
finally:
|
finally:
|
||||||
if video_path and raw_events:
|
|
||||||
try:
|
|
||||||
_save_events_csv(video_path, raw_events)
|
|
||||||
except Exception:
|
|
||||||
pass
|
|
||||||
done.set()
|
done.set()
|
||||||
|
|
||||||
th = threading.Thread(target=_listen, daemon=True)
|
th = threading.Thread(target=_listen, daemon=True)
|
||||||
@@ -106,121 +69,64 @@ def _run_async_video_sse(
|
|||||||
r = http_client.post(
|
r = http_client.post(
|
||||||
f"/detect/{media_id}",
|
f"/detect/{media_id}",
|
||||||
json=body,
|
json=body,
|
||||||
headers={"Authorization": f"Bearer {jwt_token}"},
|
headers={"Authorization": f"Bearer {token}"},
|
||||||
)
|
)
|
||||||
assert r.status_code == 200
|
assert r.status_code == 200
|
||||||
assert r.json() == {"status": "started", "mediaId": media_id}
|
assert r.json() == {"status": "started", "mediaId": media_id}
|
||||||
assert done.wait(timeout=wait_s)
|
assert done.wait(timeout=900)
|
||||||
th.join(timeout=5)
|
th.join(timeout=5)
|
||||||
assert not thread_exc, thread_exc
|
assert not thread_exc, thread_exc
|
||||||
return collected
|
return collected
|
||||||
|
|
||||||
|
|
||||||
def _assert_detection_dto(d: dict) -> None:
|
|
||||||
assert isinstance(d["centerX"], (int, float))
|
|
||||||
assert isinstance(d["centerY"], (int, float))
|
|
||||||
assert isinstance(d["width"], (int, float))
|
|
||||||
assert isinstance(d["height"], (int, float))
|
|
||||||
assert 0.0 <= float(d["centerX"]) <= 1.0
|
|
||||||
assert 0.0 <= float(d["centerY"]) <= 1.0
|
|
||||||
assert 0.0 <= float(d["width"]) <= 1.0
|
|
||||||
assert 0.0 <= float(d["height"]) <= 1.0
|
|
||||||
assert isinstance(d["classNum"], int)
|
|
||||||
assert isinstance(d["label"], str)
|
|
||||||
assert isinstance(d["confidence"], (int, float))
|
|
||||||
assert 0.0 <= float(d["confidence"]) <= 1.0
|
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.skip(reason="Single video run — covered by test_ft_p09_sse_event_delivery")
|
|
||||||
@pytest.mark.slow
|
@pytest.mark.slow
|
||||||
@pytest.mark.timeout(900)
|
@pytest.mark.timeout(900)
|
||||||
def test_ft_p_10_frame_sampling_ac1(
|
def test_ft_p_10_frame_sampling_ac1(video_events):
|
||||||
warm_engine,
|
# Assert
|
||||||
http_client,
|
processing = [d for _, d in video_events if d.get("mediaStatus") == "AIProcessing"]
|
||||||
jwt_token,
|
|
||||||
video_short_path,
|
|
||||||
sse_client_factory,
|
|
||||||
):
|
|
||||||
media_id = f"video-{uuid.uuid4().hex}"
|
|
||||||
body = _base_ai_body(video_short_path)
|
|
||||||
body["frame_period_recognition"] = 4
|
|
||||||
collected = _run_async_video_sse(
|
|
||||||
http_client,
|
|
||||||
jwt_token,
|
|
||||||
sse_client_factory,
|
|
||||||
media_id,
|
|
||||||
body,
|
|
||||||
)
|
|
||||||
processing = [e for e in collected if e.get("mediaStatus") == "AIProcessing"]
|
|
||||||
assert len(processing) >= 2
|
assert len(processing) >= 2
|
||||||
final = collected[-1]
|
final = video_events[-1][1]
|
||||||
assert final.get("mediaStatus") == "AIProcessed"
|
assert final["mediaStatus"] == "AIProcessed"
|
||||||
assert final.get("mediaPercent") == 100
|
assert final["mediaPercent"] == 100
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.skip(reason="Single video run — covered by test_ft_p09_sse_event_delivery")
|
|
||||||
@pytest.mark.slow
|
@pytest.mark.slow
|
||||||
@pytest.mark.timeout(900)
|
@pytest.mark.timeout(900)
|
||||||
def test_ft_p_11_annotation_interval_ac2(
|
def test_ft_p_11_annotation_interval_ac2(video_events):
|
||||||
warm_engine,
|
# Assert
|
||||||
http_client,
|
|
||||||
jwt_token,
|
|
||||||
video_short_path,
|
|
||||||
sse_client_factory,
|
|
||||||
):
|
|
||||||
media_id = f"video-{uuid.uuid4().hex}"
|
|
||||||
body = _base_ai_body(video_short_path)
|
|
||||||
body["frame_recognition_seconds"] = 2
|
|
||||||
collected = _run_async_video_sse(
|
|
||||||
http_client,
|
|
||||||
jwt_token,
|
|
||||||
sse_client_factory,
|
|
||||||
media_id,
|
|
||||||
body,
|
|
||||||
timed=True,
|
|
||||||
)
|
|
||||||
processing = [
|
processing = [
|
||||||
(t, d) for t, d in collected if d.get("mediaStatus") == "AIProcessing"
|
(t, d) for t, d in video_events if d.get("mediaStatus") == "AIProcessing"
|
||||||
]
|
]
|
||||||
assert len(processing) >= 2
|
assert len(processing) >= 2
|
||||||
gaps = [
|
gaps = [processing[i][0] - processing[i - 1][0] for i in range(1, len(processing))]
|
||||||
processing[i][0] - processing[i - 1][0]
|
|
||||||
for i in range(1, len(processing))
|
|
||||||
]
|
|
||||||
assert all(g >= 0.0 for g in gaps)
|
assert all(g >= 0.0 for g in gaps)
|
||||||
final = collected[-1][1]
|
final = video_events[-1][1]
|
||||||
assert final.get("mediaStatus") == "AIProcessed"
|
assert final["mediaStatus"] == "AIProcessed"
|
||||||
assert final.get("mediaPercent") == 100
|
assert final["mediaPercent"] == 100
|
||||||
|
|
||||||
|
|
||||||
@pytest.mark.skip(reason="Single video run — covered by test_ft_p09_sse_event_delivery")
|
|
||||||
@pytest.mark.slow
|
@pytest.mark.slow
|
||||||
@pytest.mark.timeout(900)
|
@pytest.mark.timeout(900)
|
||||||
def test_ft_p_12_movement_tracking_ac3(
|
def test_ft_p_12_movement_tracking_ac3(video_events):
|
||||||
warm_engine,
|
# Assert
|
||||||
http_client,
|
for _, e in video_events:
|
||||||
jwt_token,
|
|
||||||
video_short_path,
|
|
||||||
sse_client_factory,
|
|
||||||
):
|
|
||||||
media_id = f"video-{uuid.uuid4().hex}"
|
|
||||||
body = _base_ai_body(video_short_path)
|
|
||||||
body["tracking_distance_confidence"] = 0.1
|
|
||||||
body["tracking_probability_increase"] = 0.1
|
|
||||||
collected = _run_async_video_sse(
|
|
||||||
http_client,
|
|
||||||
jwt_token,
|
|
||||||
sse_client_factory,
|
|
||||||
media_id,
|
|
||||||
body,
|
|
||||||
)
|
|
||||||
for e in collected:
|
|
||||||
anns = e.get("annotations")
|
anns = e.get("annotations")
|
||||||
if not anns:
|
if not anns:
|
||||||
continue
|
continue
|
||||||
assert isinstance(anns, list)
|
assert isinstance(anns, list)
|
||||||
for d in anns:
|
for d in anns:
|
||||||
_assert_detection_dto(d)
|
assert isinstance(d["centerX"], (int, float))
|
||||||
final = collected[-1]
|
assert isinstance(d["centerY"], (int, float))
|
||||||
assert final.get("mediaStatus") == "AIProcessed"
|
assert isinstance(d["width"], (int, float))
|
||||||
assert final.get("mediaPercent") == 100
|
assert isinstance(d["height"], (int, float))
|
||||||
|
assert 0.0 <= float(d["centerX"]) <= 1.0
|
||||||
|
assert 0.0 <= float(d["centerY"]) <= 1.0
|
||||||
|
assert 0.0 <= float(d["width"]) <= 1.0
|
||||||
|
assert 0.0 <= float(d["height"]) <= 1.0
|
||||||
|
assert isinstance(d["classNum"], int)
|
||||||
|
assert isinstance(d["label"], str)
|
||||||
|
assert isinstance(d["confidence"], (int, float))
|
||||||
|
assert 0.0 <= float(d["confidence"]) <= 1.0
|
||||||
|
final = video_events[-1][1]
|
||||||
|
assert final["mediaStatus"] == "AIProcessed"
|
||||||
|
assert final["mediaPercent"] == 100
|
||||||
|
|||||||
@@ -124,12 +124,13 @@ def detection_to_dto(det) -> DetectionDto:
|
|||||||
|
|
||||||
@app.get("/health")
|
@app.get("/health")
|
||||||
def health() -> HealthResponse:
|
def health() -> HealthResponse:
|
||||||
|
if inference is None:
|
||||||
|
return HealthResponse(status="healthy", aiAvailability="None")
|
||||||
try:
|
try:
|
||||||
inf = get_inference()
|
status = inference.ai_availability_status
|
||||||
status = inf.ai_availability_status
|
|
||||||
status_str = str(status).split()[0] if str(status).strip() else "None"
|
status_str = str(status).split()[0] if str(status).strip() else "None"
|
||||||
error_msg = status.error_message if hasattr(status, 'error_message') else None
|
error_msg = status.error_message if hasattr(status, 'error_message') else None
|
||||||
engine_type = inf.engine_name
|
engine_type = inference.engine_name
|
||||||
return HealthResponse(
|
return HealthResponse(
|
||||||
status="healthy",
|
status="healthy",
|
||||||
aiAvailability=status_str,
|
aiAvailability=status_str,
|
||||||
|
|||||||
Executable
+64
@@ -0,0 +1,64 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
set -euo pipefail
|
||||||
|
|
||||||
|
ROOT="$(cd "$(dirname "$0")" && pwd)"
|
||||||
|
FIXTURES="$ROOT/e2e/fixtures"
|
||||||
|
|
||||||
|
LOADER_PORT=8080
|
||||||
|
ANNOTATIONS_PORT=8081
|
||||||
|
DETECTIONS_PORT=8000
|
||||||
|
PIDS=()
|
||||||
|
|
||||||
|
cleanup() {
|
||||||
|
for pid in "${PIDS[@]}"; do
|
||||||
|
kill "$pid" 2>/dev/null || true
|
||||||
|
done
|
||||||
|
wait 2>/dev/null
|
||||||
|
}
|
||||||
|
trap cleanup EXIT
|
||||||
|
|
||||||
|
for port in $LOADER_PORT $ANNOTATIONS_PORT $DETECTIONS_PORT; do
|
||||||
|
if lsof -ti :"$port" >/dev/null 2>&1; then
|
||||||
|
echo "ERROR: port $port is already in use" >&2
|
||||||
|
exit 1
|
||||||
|
fi
|
||||||
|
done
|
||||||
|
|
||||||
|
echo "Starting mock-loader on :$LOADER_PORT ..."
|
||||||
|
MODELS_ROOT="$FIXTURES" \
|
||||||
|
python -m gunicorn --bind "0.0.0.0:$LOADER_PORT" --workers 1 --timeout 120 \
|
||||||
|
'e2e.mocks.loader.app:app' >/dev/null 2>&1 &
|
||||||
|
PIDS+=($!)
|
||||||
|
|
||||||
|
echo "Starting mock-annotations on :$ANNOTATIONS_PORT ..."
|
||||||
|
python -m gunicorn --bind "0.0.0.0:$ANNOTATIONS_PORT" --workers 1 --timeout 120 \
|
||||||
|
'e2e.mocks.annotations.app:app' >/dev/null 2>&1 &
|
||||||
|
PIDS+=($!)
|
||||||
|
|
||||||
|
echo "Starting detections service on :$DETECTIONS_PORT ..."
|
||||||
|
LOADER_URL="http://localhost:$LOADER_PORT" \
|
||||||
|
ANNOTATIONS_URL="http://localhost:$ANNOTATIONS_PORT" \
|
||||||
|
python -m uvicorn main:app --host 0.0.0.0 --port "$DETECTIONS_PORT" \
|
||||||
|
--log-level warning >/dev/null 2>&1 &
|
||||||
|
PIDS+=($!)
|
||||||
|
|
||||||
|
echo "Waiting for services ..."
|
||||||
|
for url in \
|
||||||
|
"http://localhost:$DETECTIONS_PORT/health" \
|
||||||
|
"http://localhost:$LOADER_PORT/mock/status" \
|
||||||
|
"http://localhost:$ANNOTATIONS_PORT/mock/status"; do
|
||||||
|
for i in $(seq 1 30); do
|
||||||
|
if curl -sf "$url" >/dev/null 2>&1; then break; fi
|
||||||
|
if [ "$i" -eq 30 ]; then echo "ERROR: $url not ready" >&2; exit 1; fi
|
||||||
|
sleep 1
|
||||||
|
done
|
||||||
|
done
|
||||||
|
|
||||||
|
echo "All services ready. Running tests ..."
|
||||||
|
echo ""
|
||||||
|
|
||||||
|
BASE_URL="http://localhost:$DETECTIONS_PORT" \
|
||||||
|
MOCK_LOADER_URL="http://localhost:$LOADER_PORT" \
|
||||||
|
MOCK_ANNOTATIONS_URL="http://localhost:$ANNOTATIONS_PORT" \
|
||||||
|
MEDIA_DIR="$FIXTURES" \
|
||||||
|
python -m pytest e2e/tests/ -v --tb=short "$@"
|
||||||
Reference in New Issue
Block a user