#!/opt/homebrew/bin/python3.11
"""
OCR Processor Wrapper
Calls Swift Vision Framework OCR (swift_ocr) with fallback to PaddleOCR.
"""

import sys
import json
import os
import subprocess
import argparse


SWIFT_OCR_PATH = os.path.join(
    os.path.dirname(os.path.abspath(__file__)),
    "swift_processors/.build/debug/swift_ocr"
)
SWIFT_OCR_ALT = os.path.join(
    os.path.dirname(os.path.abspath(__file__)),
    "swift_processors/.build/arm64-apple-macosx/debug/swift_ocr"
)


def process_ocr(
    video_path: str,
    output_path: str,
    uuid: str = "",
    sample_interval: int = 30,
    recognition_level: str = "accurate",
) -> dict:
    swift_bin = SWIFT_OCR_PATH
    if not os.path.exists(swift_bin):
        swift_bin = SWIFT_OCR_ALT

    if not os.path.exists(swift_bin):
        print("[OCR] Swift binary not found, using PaddleOCR", file=sys.stderr)
        return _fallback(video_path, output_path, uuid, sample_interval)

    cmd = [swift_bin, video_path, output_path,
           "--sample-interval", str(sample_interval),
           "--recognition-level", recognition_level,
           "--uuid", uuid]

    print(f"[OCR] Running Swift OCR", file=sys.stderr)
    result = subprocess.run(cmd, capture_output=True, text=True, timeout=7200)

    if result.stdout:
        print(result.stdout.strip(), file=sys.stderr)
    if result.stderr:
        print(result.stderr.strip(), file=sys.stderr)

    if result.returncode != 0 or not os.path.exists(output_path):
        print(f"[OCR] Swift OCR failed, falling back to PaddleOCR", file=sys.stderr)
        return _fallback(video_path, output_path, uuid, sample_interval)

    with open(output_path) as f:
        return json.load(f)


def _fallback(video_path, output_path, uuid, sample_interval):
    """Fallback to original PaddleOCR implementation"""
    import importlib
    spec = importlib.util.spec_from_file_location(
        "paddle_ocr",
        os.path.join(os.path.dirname(__file__), "ocr_paddle.py")
    )
    if spec is None:
        print("[OCR] No fallback available, returning empty result", file=sys.stderr)
        return {"frame_count": 0, "fps": 0, "frames": []}
    paddle = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(paddle)
    return paddle.process_ocr(video_path, output_path, uuid, sample_interval=sample_interval)


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="OCR Processor (Swift Vision)")
    parser.add_argument("video_path")
    parser.add_argument("output_path")
    parser.add_argument("--uuid", "-u", default="")
    parser.add_argument("--sample-interval", type=int, default=30)
    parser.add_argument("--recognition-level", choices=["fast", "accurate"], default="accurate")
    args = parser.parse_args()

    result = process_ocr(args.video_path, args.output_path, args.uuid,
                         args.sample_interval, args.recognition_level)

    with open(args.output_path, "w") as f:
        json.dump(result, f, indent=2)
    print(f"OCR: {len(result.get('frames', []))} frames with text")