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theshy
2026-03-21 01:36:28 +08:00
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import os
import time
import subprocess
import json
import shutil
from pathlib import Path
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from logger import get_system_logger, get_ai_logger, log_exception
# ==========================================
# 接口配置 (Interface Configuration)
# ==========================================
SESSION_DIR = r'./session' # 监控的工作区目录
CHECK_INTERVAL = 2 # 轮询频率
CODEX_CMD = "codex" # 如果报错，可以尝试改为 "codex.cmd"
DONE_FLAG = "transcribe_done.flag" # 监听这个标记
# 初始化日志
logger = get_system_logger('monitorSrt')
# ==========================================
# 定义输出数据的 JSON Schema
SONG_SCHEMA = {
"type": "object",
"properties": {
"songs": {
"type": "array",
"items": {
"type": "object",
"properties": {
"start": {"type": "string"},
"end": {"type": "string"},
"title": {"type": "string"},
"artist": {"type": "string"},
"confidence": {"type": "number"},
"evidence": {"type": "string"}
},
"required": ["start", "end", "title", "artist", "confidence", "evidence"],
"additionalProperties": False
}
}
},
"required": ["songs"],
"additionalProperties": False
}
TASK_PROMPT = """你是音乐片段识别助手。当前目录下有一个字幕文件。
任务：
1. 结合字幕内容并允许联网搜索进行纠错（识别同音字、唱错等）。
2. 识别出直播中唱过的所有歌曲，给出精确的开始和结束时间。
3. 同一首歌间隔 ≤30s 合并，>30s 分开。
4. 忽略纯聊天片段。
5. 无法确认的歌曲用 UNKNOWN 标注并在 evidence 说明。
最后请严格按照 Schema 生成 JSON 数据。"""
# ==========================================
class SrtHandler(FileSystemEventHandler):
def on_created(self, event):
# 修改：不再看 .srt，改为看 .flag
if not event.is_directory and event.src_path.endswith(DONE_FLAG):
logger.debug(f"检测到转录完成标记: {event.src_path}")
self.process_with_codex(Path(event.src_path))
# if not event.is_directory and event.src_path.lower().endswith('.srt'):
# self.process_with_codex(Path(event.src_path))
def on_moved(self, event):
# 针对有些程序是先生成临时文件再重命名的情况
if not event.is_directory and event.dest_path.lower().endswith('.srt'):
logger.debug(f"检测到字幕文件移动: {event.dest_path}")
self.process_with_codex(Path(event.dest_path))
def process_with_codex(self, srt_path):
work_dir = srt_path.parent
# 避免对同一目录重复调用
if (work_dir / "songs.json").exists():
logger.info(f"songs.json 已存在，跳过: {work_dir.name}")
return
logger.info(f"发现新字幕，准备识别歌曲: {work_dir.name}")
# 创建AI日志
ai_log, ai_log_file = get_ai_logger('codex', 'songs')
ai_log.info("="*50)
ai_log.info("Codex 歌曲识别任务开始")
ai_log.info(f"工作目录: {work_dir}")
ai_log.info("="*50)
logger.debug("准备 Schema 文件...")
ai_log.info("生成 JSON Schema")
# 在当前目录下生成临时 Schema 文件供 Codex 参考
schema_file = work_dir / "song_schema.json"
with open(schema_file, "w", encoding="utf-8") as f:
json.dump(SONG_SCHEMA, f, ensure_ascii=False, indent=2)
ai_log.info(f"Schema 文件: {schema_file.name}")
logger.info("调用 Codex (Non-interactive mode)...")
ai_log.info("开始 Codex 执行")
ai_log.info(f"命令: {CODEX_CMD} exec")
ai_log.info(f"任务提示: {TASK_PROMPT[:100]}...")
# 构建命令行参数
# 注意：Windows 下为了防止 shell 解析错误，提示词尽量保持在一行
cmd = [
CODEX_CMD, "exec",
TASK_PROMPT.replace('\n', ' '),
"--full-auto",
"--sandbox", "workspace-write",
"--output-schema", "./song_schema.json",
"-o", "songs.json",
"--skip-git-repo-check",
"--json" # 启用 JSON 输出以获取详细日志
]
ai_log.info(f"完整命令: {subprocess.list2cmdline(cmd)}")
try:
# 使用 shell=True 解决 Windows 下找不到 .cmd 脚本的问题
# 使用 subprocess.list2cmdline 将列表安全转为字符串
# process_cmd = subprocess.list2cmdline(cmd)
# start_time = time.time()
# result = subprocess.run(
# process_cmd,
# cwd=str(work_dir),
# shell=False,
# capture_output=True,
# text=True,
# encoding='utf-8'
# )
# 2. 修改调用逻辑（去掉 list2cmdline）
try:
start_time = time.time()
result = subprocess.run(
cmd, # 直接传列表，不要传字符串
cwd=str(work_dir),
shell=False, # 在 Linux 上，传列表时 shell 必须为 False 或不设置
capture_output=True,
text=True,
encoding='utf-8'
)
elapsed = time.time() - start_time
ai_log.info(f"Codex 执行完成，耗时: {elapsed:.2f}秒")
ai_log.info(f"返回码: {result.returncode}")
# 解析并记录 Codex 的 JSON 输出
if result.stdout:
ai_log.info("=== Codex 执行日志 ===")
for line in result.stdout.strip().split('\n'):
if line.strip():
try:
# 尝试解析 JSONL 格式的事件
event = json.loads(line)
event_type = event.get('type', 'unknown')
# 根据事件类型记录不同级别的日志
if event_type == 'error':
ai_log.error(f"Codex Error: {json.dumps(event, ensure_ascii=False)}")
elif event_type in ['tool_use', 'command_execution', 'file_operation']:
ai_log.info(f"Codex Action: {json.dumps(event, ensure_ascii=False)}")
else:
ai_log.debug(f"Codex Event: {json.dumps(event, ensure_ascii=False)}")
except json.JSONDecodeError:
# 如果不是 JSON 格式，直接记录原始行
ai_log.info(line)
if result.stderr:
ai_log.warning("=== STDERR ===")
for line in result.stderr.strip().split('\n'):
if line.strip():
ai_log.warning(line)
if result.returncode == 0:
logger.info(f"Codex 执行成功: {work_dir.name}")
ai_log.info("Codex 执行成功")
self.generate_txt_fallback(work_dir, ai_log)
else:
logger.error(f"Codex 返回错误码 {result.returncode}")
logger.error(f"错误详情: {result.stderr.strip() or result.stdout.strip()}")
ai_log.error(f"Codex 执行失败，错误码: {result.returncode}")
except Exception as e:
log_exception(logger, e, "Codex 调用异常")
log_exception(ai_log, e, "Codex 执行异常")
ai_log.info("="*50)
ai_log.info("Codex 歌曲识别任务完成")
ai_log.info("="*50)
logger.info(f"AI日志已保存: {ai_log_file}")
def generate_txt_fallback(self, work_dir, ai_log):
"""解析生成的 JSON 并同步创建 B 站评论格式的 txt"""
json_path = work_dir / "songs.json"
txt_path = work_dir / "songs.txt"
try:
if json_path.exists():
with open(json_path, 'r', encoding='utf-8') as f:
data = json.load(f)
songs = data.get('songs', [])
logger.info(f"识别到 {len(songs)} 首歌曲")
ai_log.info(f"解析结果: {len(songs)} 首歌曲")
with open(txt_path, 'w', encoding='utf-8') as t:
for s in songs:
# 将 SRT 时间格式 (00:00:00,360) 转为 B 站格式 (00:00:00)
start_time = s['start'].split(',')[0] # 去掉毫秒部分
line = f"{start_time} {s['title']} — {s['artist']}\n"
t.write(line)
ai_log.debug(f" {s['title']} — {s['artist']} ({start_time})")
logger.info(f"成功生成: {txt_path.name}")
ai_log.info(f"生成 songs.txt 成功")
except Exception as e:
log_exception(logger, e, "生成 txt 失败")
log_exception(ai_log, e, "生成 songs.txt 失败")
def main():
path = Path(SESSION_DIR)
if not path.exists():
path.mkdir(parents=True)
logger.info("="*50)
logger.info("字幕监控模块启动 (Codex 歌曲识别)")
logger.info("="*50)
logger.info(f"监控目录: {SESSION_DIR}")
logger.info(f"Codex 命令: {CODEX_CMD}")
event_handler = SrtHandler()
observer = Observer()
observer.schedule(event_handler, str(path), recursive=True)
observer.start()
logger.info("文件监控已启动")
try:
while True:
time.sleep(CHECK_INTERVAL)
except KeyboardInterrupt:
logger.info("接收到停止信号，正在关闭...")
observer.stop()
observer.join()
logger.info("字幕监控模块已停止")
if __name__ == "__main__":
main()