import zipfile import json from io import BytesIO import cv2 import numpy as np def _seed_export_data(client): project = client.post("/api/projects", json={"name": "Export Project"}).json() frame = client.post(f"/api/projects/{project['id']}/frames", json={ "project_id": project["id"], "frame_index": 0, "image_url": "frames/0.jpg", "width": 100, "height": 50, }).json() template = client.post("/api/templates", json={ "name": "Category", "color": "#06b6d4", "z_index": 0, "classes": [], "rules": [], }).json() annotation = client.post("/api/ai/annotate", json={ "project_id": project["id"], "frame_id": frame["id"], "template_id": template["id"], "mask_data": {"polygons": [[[0.1, 0.2], [0.9, 0.2], [0.9, 0.8], [0.1, 0.8]]]}, "points": [[0.5, 0.5]], "bbox": [0.1, 0.2, 0.8, 0.6], }).json() return project, frame, template, annotation def test_export_coco_json_structure(client): project, frame, _, _ = _seed_export_data(client) response = client.get(f"/api/export/{project['id']}/coco") assert response.status_code == 200 assert response.headers["content-type"].startswith("application/json") data = response.json() assert data["info"]["description"] == "Annotations for Export Project" assert data["images"][0] == { "id": frame["id"], "file_name": "frames/0.jpg", "width": 100, "height": 50, "frame_index": 0, } assert data["annotations"][0]["segmentation"] == [[10.0, 10.0, 90.0, 10.0, 90.0, 40.0, 10.0, 40.0]] assert data["annotations"][0]["bbox"] == [10.0, 10.0, 80.0, 30.000000000000004] assert data["categories"][0]["name"] == "Category" def test_export_masks_zip(client): project, _, _, annotation = _seed_export_data(client) response = client.get(f"/api/export/{project['id']}/masks") assert response.status_code == 200 assert response.headers["content-type"].startswith("application/zip") with zipfile.ZipFile(BytesIO(response.content)) as archive: assert archive.namelist() == [ f"mask_{annotation['id']:06d}.png", "semantic_frame_000000.png", "semantic_classes.json", ] def test_export_masks_uses_z_index_for_semantic_fusion(client): project = client.post("/api/projects", json={"name": "Fusion Project"}).json() frame = client.post(f"/api/projects/{project['id']}/frames", json={ "project_id": project["id"], "frame_index": 0, "image_url": "frames/0.jpg", "width": 20, "height": 20, }).json() low = client.post("/api/ai/annotate", json={ "project_id": project["id"], "frame_id": frame["id"], "mask_data": { "polygons": [[[0.1, 0.1], [0.8, 0.1], [0.8, 0.8], [0.1, 0.8]]], "label": "Low", "color": "#00ff00", "class": {"id": "low", "name": "Low", "color": "#00ff00", "zIndex": 10}, }, }).json() high = client.post("/api/ai/annotate", json={ "project_id": project["id"], "frame_id": frame["id"], "mask_data": { "polygons": [[[0.4, 0.4], [0.9, 0.4], [0.9, 0.9], [0.4, 0.9]]], "label": "High", "color": "#ff0000", "class": {"id": "high", "name": "High", "color": "#ff0000", "zIndex": 20}, }, }).json() response = client.get(f"/api/export/{project['id']}/masks") assert response.status_code == 200 with zipfile.ZipFile(BytesIO(response.content)) as archive: assert f"mask_{low['id']:06d}.png" in archive.namelist() assert f"mask_{high['id']:06d}.png" in archive.namelist() legend = json.loads(archive.read("semantic_classes.json")) high_value = next(item["value"] for item in legend["classes"] if item["key"] == "class:high") semantic_bytes = np.frombuffer(archive.read("semantic_frame_000000.png"), dtype=np.uint8) semantic = cv2.imdecode(semantic_bytes, cv2.IMREAD_GRAYSCALE) assert semantic[10, 10] == high_value def test_export_missing_project_returns_404(client): assert client.get("/api/export/999/coco").status_code == 404 assert client.get("/api/export/999/masks").status_code == 404