mirror of
https://github.com/azaion/gps-denied-onboard.git
synced 2026-04-22 22:46:36 +00:00
Yuzviak
dd9835c0cd
- ruff --fix: removed trailing whitespace (W293), sorted imports (I001) - Manual: broke long lines (E501) in eskf, rotation, vo, gpr, metric, pipeline, rotation tests - Removed unused imports (F401) in models.py, schemas/__init__.py - pyproject.toml: line-length 100→120, E501 ignore for abstract interfaces ruff check: 0 errors. pytest: 195 passed / 8 skipped. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
120 lines
4.0 KiB
Python
120 lines
4.0 KiB
Python
"""Tests for Image Input Pipeline (F05)."""
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import cv2
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import numpy as np
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import pytest
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from gps_denied.core.pipeline import ImageInputPipeline, QueueFullError
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from gps_denied.schemas.image import ImageBatch
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@pytest.fixture
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def pipeline(tmp_path):
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storage = str(tmp_path / "images")
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return ImageInputPipeline(storage_dir=storage, max_queue_size=2)
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def test_batch_validation(pipeline):
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# VO-05: minimum batch size is now 1 (not 10)
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# Zero images is still invalid
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b0 = ImageBatch(images=[], filenames=[], start_sequence=1, end_sequence=0, batch_number=1)
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val0 = pipeline.validate_batch(b0)
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assert not val0.valid
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assert "Batch is empty" in val0.errors
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# Single image is now valid
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b1 = ImageBatch(images=[b"fake"], filenames=["AD000001.jpg"], start_sequence=1, end_sequence=1, batch_number=1)
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val1 = pipeline.validate_batch(b1)
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assert val1.valid, f"Single-image batch should be valid; errors: {val1.errors}"
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# 2-image batch — also valid under new rule
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b2 = ImageBatch(
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images=[b"1", b"2"], filenames=["AD000001.jpg", "AD000002.jpg"],
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start_sequence=1, end_sequence=2, batch_number=1,
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)
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val2 = pipeline.validate_batch(b2)
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assert val2.valid
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# Large valid batch
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fake_imgs = [b"fake"] * 10
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fake_names = [f"AD{i:06d}.jpg" for i in range(1, 11)]
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b10 = ImageBatch(images=fake_imgs, filenames=fake_names, start_sequence=1, end_sequence=10, batch_number=1)
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val10 = pipeline.validate_batch(b10)
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assert val10.valid
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@pytest.mark.asyncio
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async def test_queue_and_process(pipeline):
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flight_id = "test_f1"
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# Create valid fake images
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fake_img_np = np.zeros((10, 10, 3), dtype=np.uint8)
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_, encoded = cv2.imencode(".jpg", fake_img_np)
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fake_bytes = encoded.tobytes()
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fake_imgs = [fake_bytes] * 10
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fake_names = [f"AD{i:06d}.jpg" for i in range(1, 11)]
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b = ImageBatch(images=fake_imgs, filenames=fake_names, start_sequence=1, end_sequence=10, batch_number=1)
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pipeline.queue_batch(flight_id, b)
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# Process
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processed = await pipeline.process_next_batch(flight_id)
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assert processed is not None
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assert len(processed.images) == 10
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assert processed.images[0].sequence == 1
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assert processed.images[-1].sequence == 10
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# Status
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st = pipeline.get_processing_status(flight_id)
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assert st.total_images == 10
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assert st.processed_images == 10
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# Sequential get
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next_img = pipeline.get_next_image(flight_id)
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assert next_img is not None
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assert next_img.sequence == 1
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# Second get
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next_img2 = pipeline.get_next_image(flight_id)
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assert next_img2 is not None
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assert next_img2.sequence == 2
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@pytest.mark.asyncio
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async def test_exact_sequence_lookup_no_collision(pipeline, tmp_path):
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"""VO-05: sequence 1 must NOT match AD000011.jpg or AD000010.jpg."""
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flight_id = "exact_test"
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fake_img_np = np.zeros((10, 10, 3), dtype=np.uint8)
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_, encoded = cv2.imencode(".jpg", fake_img_np)
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fake_bytes = encoded.tobytes()
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# Sequences 1 and 11 stored in the same flight
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names = ["AD000001.jpg", "AD000011.jpg"]
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imgs = [fake_bytes, fake_bytes]
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b = ImageBatch(images=imgs, filenames=names, start_sequence=1, end_sequence=11, batch_number=1)
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pipeline.queue_batch(flight_id, b)
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await pipeline.process_next_batch(flight_id)
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img1 = pipeline.get_image_by_sequence(flight_id, 1)
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img11 = pipeline.get_image_by_sequence(flight_id, 11)
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assert img1 is not None
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assert img1.filename == "AD000001.jpg", f"Expected AD000001.jpg, got {img1.filename}"
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assert img11 is not None
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assert img11.filename == "AD000011.jpg", f"Expected AD000011.jpg, got {img11.filename}"
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def test_queue_full(pipeline):
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flight_id = "test_full"
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fake_imgs = [b"fake"] * 10
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fake_names = [f"AD{i:06d}.jpg" for i in range(1, 11)]
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b = ImageBatch(images=fake_imgs, filenames=fake_names, start_sequence=1, end_sequence=10, batch_number=1)
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pipeline.queue_batch(flight_id, b)
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pipeline.queue_batch(flight_id, b)
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with pytest.raises(QueueFullError):
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pipeline.queue_batch(flight_id, b)
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