#!/usr/bin/env python3
import csv
import subprocess
import sys
import os
import argparse
from pathlib import Path

def read_mapping(gloss, csv_path):
    result = []
    with open(csv_path, 'r', encoding='utf-8') as f:
        reader = csv.DictReader(f)
        for row in reader:
            if row['gloss'].strip().lower() == gloss.strip().lower():
                result.append((row['video_id'], row['npz_dir']))
    return result

def run_merge_step1(npz_dir, output_dir="posedict"):
    cmd = [sys.executable, "step1_merge_npz.py", npz_dir, "--output", output_dir]
    ret = subprocess.run(cmd, capture_output=True, text=True)
    return ret.returncode == 0

def run_merge_step2(npz_dir, output_dir="posedict"):
    cmd = [sys.executable, "step2_merge_npz.py", npz_dir, "--output", output_dir]
    ret = subprocess.run(cmd, capture_output=True, text=True)
    return ret.returncode == 0

def run_render_step3(merged_npz_path, output_folder="pose_videos"):
    cmd = [sys.executable, "step3_read_and_vis_merge_npz_to_pose_video.py", merged_npz_path, "--output", output_folder]
    ret = subprocess.run(cmd, capture_output=True, text=True)
    return ret.returncode == 0

def main():
    parser = argparse.ArgumentParser(description="gloss → npz → merged.npz → pose video pipeline")
    parser.add_argument("--gloss", required=True, help="输入 gloss 关键词")
    parser.add_argument("--csv", default="assets/WLASL_small_results/gloss_npz_mapping.csv", help="gloss→video_id→npz 映射表")
    parser.add_argument("--merge1_out", default="posedict", help="step1 输出合并目录")
    parser.add_argument("--merge2_out", default="posedict", help="step2 输出 merged npz 目录")
    parser.add_argument("--video_out", default="pose_videos", help="step3 输出视频目录")
    args = parser.parse_args()

    mapping = read_mapping(args.gloss, args.csv)
    if not mapping:
        print(f"❌ 没找到 gloss={args.gloss} 对应路径")
        sys.exit(1)

    os.makedirs(args.merge1_out, exist_ok=True)
    os.makedirs(args.video_out, exist_ok=True)

    for video_id, npz_path in mapping:
        if not os.path.isdir(npz_path):
            print(f"[跳过] npz目录不存在: {npz_path}")
            continue

        print(f"\n🔹 处理 video_id={video_id}")

        # Step1
        print("▶ step1 合并原始 npz")
        if not run_merge_step1(npz_path, args.merge1_out):
            print("❌ step1失败，跳过")
            continue

        # Step2
        print("▶ step2 再次合并成大npz")
        if not run_merge_step2(npz_path, args.merge2_out):
            print("❌ step2失败，跳过")
            continue

        # Step3
        merged_npz = Path(args.merge2_out) / f"{video_id}.npz"
        if not merged_npz.exists():
            print(f"❌ step2结果不存在: {merged_npz}")
            continue

        print("▶ step3 渲染视频")
        if run_render_step3(str(merged_npz), args.video_out):
            print(f"✅ 渲染完成: {args.video_out}/{video_id}_pose_video.mp4")
        else:
            print("❌ 渲染失败")

    print("\n🎉 所有流程完成")

if __name__ == "__main__":
    main()