Update .gitignore and refine documentation for execution environment

- Added Cython generated files to .gitignore to prevent unnecessary tracking.
- Updated paths in `inference.c` and `coreml_engine.c` to reflect the correct virtual environment.
- Revised the execution environment documentation to clarify hardware dependency checks and local execution instructions, ensuring accurate guidance for users.
- Removed outdated Docker suitability checks and streamlined the assessment process for test execution environments.
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-03-30 00:53:46 +03:00
parent 27f4aceb52
commit 5a968edcba
12 changed files with 328 additions and 401 deletions
-68
View File
@@ -1,78 +1,10 @@
import json
import re
import threading
import time
import uuid
from datetime import datetime
from pathlib import Path
import pytest
def _video_ai_body(video_path: str) -> dict:
return {
"probability_threshold": 0.25,
"tracking_intersection_threshold": 0.6,
"altitude": 400,
"focal_length": 24,
"sensor_width": 23.5,
"paths": [video_path],
"frame_period_recognition": 4,
"frame_recognition_seconds": 2,
}
@pytest.mark.skip(reason="Single video run — covered by test_ft_p09_sse_event_delivery")
@pytest.mark.slow
@pytest.mark.timeout(300)
def test_ft_n_08_nft_res_lim_02_sse_queue_bounded_best_effort(
warm_engine,
http_client,
jwt_token,
video_short_path,
sse_client_factory,
):
media_id = f"rlim-sse-{uuid.uuid4().hex}"
body = _video_ai_body(video_short_path)
headers = {"Authorization": f"Bearer {jwt_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
assert done.wait(timeout=290)
th.join(timeout=5)
assert not thread_exc, thread_exc
assert collected
assert collected[-1].get("mediaStatus") == "AIProcessed"
@pytest.mark.slow
@pytest.mark.timeout(120)
def test_nft_res_lim_03_max_detections_per_frame(