#!/usr/bin/env python3
"""
Run the full LangGraph detection pipeline on a test video.

Usage:
    python tests/detect/manual/run_graph.py [--job JOB_ID] [--port PORT]

Opens: http://mpr.local.ar/detection/?job=<JOB_ID>
"""

import argparse
import logging
import os
import sys

parser = argparse.ArgumentParser()
parser.add_argument("--job", default="graph-test")
parser.add_argument("--port", type=int, default=6382)
args = parser.parse_args()

os.environ["REDIS_URL"] = f"redis://localhost:{args.port}/0"
logging.basicConfig(level=logging.INFO, format="%(levelname)-7s %(name)s — %(message)s")

sys.path.insert(0, ".")

from detect.graph import get_pipeline
from detect.state import DetectState

logger = logging.getLogger(__name__)

VIDEO = "media/out/chunks/95043d50-4df6-4ac8-bbd5-2ba873117c6e/chunk_0000.mp4"


def main():
    logger.info("Job: %s", args.job)
    logger.info("Open: http://mpr.local.ar/detection/?job=%s", args.job)
    input("\nPress Enter to start...")

    pipeline = get_pipeline()

    initial_state = DetectState(
        video_path=VIDEO,
        job_id=args.job,
        profile_name="soccer_broadcast",
    )

    logger.info("Running pipeline...")
    result = pipeline.invoke(initial_state)

    frames = result.get("frames", [])
    filtered = result.get("filtered_frames", [])
    report = result.get("report")

    logger.info("Frames extracted: %d", len(frames))
    logger.info("Frames after filter: %d", len(filtered))
    if report:
        logger.info("Brands found: %d", len(report.brands))
    logger.info("Done.")


if __name__ == "__main__":
    main()