#!/usr/bin/env python3
"""自动训练流水线 - 铸渊自管理系统
母模型训练完成 → 上传COS → 启动代码模型训练 → 上传COS → 关实例

使用方法：
  nohup python3 auto_pipeline.py > pipeline.log 2>&1 &
"""

import os, json, time, sys, subprocess
sys.stdout.reconfigure(line_buffering=True)

MOTHER_LOG = "/root/autodl-tmp/train_mother.log"
MOTHER_OUT = "/root/autodl-tmp/output/qwen25-7b-sft/final"

COS_BUCKET = "sy-finetune-corpus-1317346199"
COS_REGION = "ap-guangzhou"
COS_SECRET_ID = "AKIDkQuBQhoiS2OYXWebXLwMbdT7cvAScbbU"
COS_SECRET_KEY = "nPoZKArgUJBA4nJenjSxJSQBj5FCj3A4"

CODE_MODEL = "Qwen/Qwen2.5-Coder-7B"
CODE_CACHE = "/root/autodl-tmp/cache"
CODE_OUT = "/root/autodl-tmp/output/qwen25-coder-7b-sft"
CODE_SCRIPT = "/root/autodl-tmp/train_coder.py"
DATA_FILE = "/root/autodl-tmp/data/sft.jsonl"
POLL_INTERVAL = 300

def run_cmd(cmd):
    result = subprocess.run(cmd, shell=True, capture_output=True, text=True)
    return result.stdout.strip(), result.returncode

def log(msg):
    t = time.strftime("%Y-%m-%d %H:%M:%S")
    print(f"[{t}] {msg}")
    sys.stdout.flush()

def upload_to_cos(local_path, cos_key):
    log(f"Uploading {local_path} → cos://{COS_BUCKET}/{cos_key}")
    script = f"""
from qcloud_cos import CosConfig, CosS3Client
import os
config = CosConfig(Region='{COS_REGION}', SecretId='{COS_SECRET_ID}', SecretKey='{COS_SECRET_KEY}')
client = CosS3Client(config)
if os.path.isdir('{local_path}'):
    import glob
    for f in glob.glob('{local_path}/**/*', recursive=True):
        if os.path.isfile(f):
            rel = os.path.relpath(f, '{local_path}')
            client.upload_file(Bucket='{COS_BUCKET}', Key='{cos_key}/' + rel, LocalFilePath=f)
else:
    client.upload_file(Bucket='{COS_BUCKET}', Key='{cos_key}', LocalFilePath='{local_path}')
print('Upload OK')
"""
    with open("/tmp/cos_upload.py", "w") as fp:
        fp.write(script)
    out, rc = run_cmd(f"export PATH=/root/miniconda3/bin:$PATH && python3 /tmp/cos_upload.py")
    log(out)
    return rc == 0

def check_mother_done():
    if not os.path.exists(MOTHER_LOG):
        return False
    out, _ = run_cmd(f"grep -a 'DONE' {MOTHER_LOG} | tail -1")
    return "DONE" in out

def check_mother_output():
    return os.path.isdir(MOTHER_OUT) and any(f.endswith('.safetensors') for f in os.listdir(MOTHER_OUT))

def generate_coder_script():
    return open('/root/autodl-tmp/train_mother.py').read().replace(
        'Qwen2.5-7B', 'Qwen2.5-Coder-7B'
    ).replace(
        'qwen25-7b-sft', 'qwen25-coder-7b-sft'
    )

def main():
    log("=== 铸渊自动训练流水线启动 ===")
    
    # Phase 1: Wait for mother model
    log("等待母模型训练完成...")
    while True:
        if check_mother_done() or check_mother_output():
            log("✅ 母模型训练完成！")
            break
        log(f"  母模型仍在训练中... (每{POLL_INTERVAL}秒检查)")
        time.sleep(POLL_INTERVAL)
    
    if not check_mother_output():
        log("❌ 母模型输出不存在")
        return
    
    # Phase 2: Upload to COS
    log("=== 上传母模型到COS ===")
    upload_to_cos(MOTHER_OUT, "models/qwen25-7b-sft/final")
    
    # Phase 3: Start code model training
    log("=== 准备代码模型训练 ===")
    with open(CODE_SCRIPT, 'w') as f:
        f.write(generate_coder_script())
    
    cmd = f"export PATH=/root/miniconda3/bin:$PATH && cd /root/autodl-tmp && nohup python3 -u {CODE_SCRIPT} > train_coder.log 2>&1 &"
    run_cmd(cmd)
    log("代码模型训练已启动")
    
    # Phase 4: Wait for code model
    while True:
        out, _ = run_cmd(f"grep -a 'DONE' /root/autodl-tmp/train_coder.log | tail -1")
        if "DONE" in out:
            log("✅ 代码模型训练完成！")
            break
        time.sleep(POLL_INTERVAL)
    
    # Phase 5: Upload code model to COS
    upload_to_cos(f"{CODE_OUT}/final", "models/qwen25-coder-7b-sft/final")
    
    log("=" * 50)
    log("U0001F389 全部训练任务完成！")
    log("⚠️ GPU实例仍在运行，建议手动关停")
    log("=" * 50)

if __name__ == "__main__":
    main()