#!/usr/bin/env python3
# SPDX-License-Identifier: Apache-2.0
"""Build (and optionally send) a ``POST /predict`` request for bevformer-p150. Standard library only.

    # the shipped sample: six cameras + the calibration preset listed by /info
    S=code/tt_bevformer/samples/synthetic_6cam
    python3 code/tt_bevformer/server/client.py --image CAM_FRONT=$S/CAM_FRONT.png --image CAM_FRONT_RIGHT=$S/CAM_FRONT_RIGHT.png \
        --image CAM_FRONT_LEFT=$S/CAM_FRONT_LEFT.png --image CAM_BACK=$S/CAM_BACK.png \
        --image CAM_BACK_LEFT=$S/CAM_BACK_LEFT.png --image CAM_BACK_RIGHT=$S/CAM_BACK_RIGHT.png \
        --calib-preset synthetic_6cam --out req.json
    curl -s localhost:20000/predict -H 'Content-Type: application/json' -d @req.json

    # or send it directly and print the response: add --url http://127.0.0.1:20000 (no --out)

The implementation is the vendored ``ttaw/server/client.py`` (C08); this file runs it from the model repository
with any Python 3.9+, without numpy and without installing the package. In Python, use
``tt_bevformer.ttaw.server.client`` (``build_request``, ``post``, ``wait_ready``, ...).
"""
import runpy
from pathlib import Path

if __name__ == "__main__":
    runpy.run_path(str(Path(__file__).resolve().parents[1] / "ttaw" / "server" / "client.py"), run_name="__main__")