my_meeting/meeting_summary.py

import argparse
import json
import time
from pathlib import Path

from agents.chat import get_qwen_response
from prompt_loader import load_prompt

PROJECT_ROOT = Path(__file__).resolve().parent
DATA_DIR = PROJECT_ROOT / "data" / "meetings"
RESULTS_MD_DIR = PROJECT_ROOT / "data" / "results" / "md"
RESULTS_JSON_DIR = PROJECT_ROOT / "data" / "results" / "json"
TEMPLATE_DIR = PROJECT_ROOT / "template"
EXAMPLES_DIR = PROJECT_ROOT / "examples"


def parse_args():
    parser = argparse.ArgumentParser(description="Generate meeting topics and summary.")
    parser.add_argument("--meeting-id", help="Meeting ID under data/meetings")
    parser.add_argument("--input", help="Path to a transcript file (.txt or .md)")
    parser.add_argument("--template", default="template1.md", help="Template file name under template/")
    parser.add_argument("--model", default="Qwen3.6-35B", help="LLM model name")
    args = parser.parse_args()

    if bool(args.meeting_id) == bool(args.input):
        parser.error("Use exactly one of --meeting-id or --input")
    return args


def load_transcript(args) -> tuple[str, str, Path]:
    if args.meeting_id:
        meeting_dir = DATA_DIR / args.meeting_id
        if not meeting_dir.exists():
            raise FileNotFoundError(f"Meeting not found: {args.meeting_id}")

        for ext in (".txt", ".md"):
            transcript_path = meeting_dir / f"transcript{ext}"
            if transcript_path.exists():
                return args.meeting_id, transcript_path.read_text(encoding="utf-8"), transcript_path
        raise FileNotFoundError(f"No transcript file found for meeting: {args.meeting_id}")

    transcript_path = Path(args.input).resolve()
    if not transcript_path.exists():
        raise FileNotFoundError(f"Input file not found: {transcript_path}")
    return transcript_path.stem, transcript_path.read_text(encoding="utf-8"), transcript_path


def read_template(template_name: str) -> str:
    template_path = TEMPLATE_DIR / template_name
    if not template_path.exists():
        raise FileNotFoundError(f"Template not found: {template_name}")
    return template_path.read_text(encoding="utf-8")


def collect_stream(response) -> str:
    content = []
    current_part = None

    for chunk_type, chunk_content in response:
      if not chunk_content:
          continue

      if chunk_type == "reasoning":
          if current_part != "reasoning":
              print("\n[Thinking]\n")
              current_part = "reasoning"
          print(chunk_content, end="", flush=True)
      else:
          if current_part != "content":
              print("\n[Content]\n")
              current_part = "content"
          print(chunk_content, end="", flush=True)
          content.append(str(chunk_content))

    print()
    return "".join(content)


def save_outputs(target_name: str, meeting_id: str | None, sub_topics: str, summary_text: str):
    if meeting_id:
        json_dir = RESULTS_JSON_DIR / meeting_id
        md_dir = RESULTS_MD_DIR / meeting_id
    else:
        json_dir = EXAMPLES_DIR
        md_dir = EXAMPLES_DIR

    json_dir.mkdir(parents=True, exist_ok=True)
    md_dir.mkdir(parents=True, exist_ok=True)

    json_path = json_dir / "sub_topic.json"
    try:
        json_path.write_text(
            json.dumps(json.loads(sub_topics), ensure_ascii=False, indent=2),
            encoding="utf-8",
        )
    except json.JSONDecodeError:
        json_path.write_text(sub_topics, encoding="utf-8")

    summary_path = md_dir / "meeting_summary.md"
    summary_path.write_text(summary_text, encoding="utf-8")

    print(f"\nSaved topics to: {json_path}")
    print(f"Saved summary to: {summary_path}")
    print(f"Processed target: {target_name}")


def main():
    args = parse_args()
    started_at = time.perf_counter()

    target_name, transcript, transcript_path = load_transcript(args)
    template = read_template(args.template)
    prompt = load_prompt("meeting_summary", "zh")

    print(f"Processing transcript: {transcript_path}")
    if args.meeting_id:
        print(f"Meeting ID: {args.meeting_id}")

    system_prompt = prompt["system"]["role"] + prompt["mode_contracts"]["data_preproces"]
    user_prompt = prompt["user_template"]["article_preproces"].format(article=transcript)
    sub_topics = collect_stream(get_qwen_response(args.model, system_prompt, user_prompt))

    system_prompt = prompt["system"]["role"] + prompt["mode_contracts"]["data_summary"].format(template=template)
    user_prompt = prompt["user_template"]["article_summary"].format(article=transcript, sub_topices=sub_topics)
    summary_text = collect_stream(get_qwen_response(args.model, system_prompt, user_prompt))

    save_outputs(target_name, args.meeting_id, sub_topics, summary_text)

    elapsed = time.perf_counter() - started_at
    print(f"Elapsed: {elapsed:.2f}s")


if __name__ == "__main__":
    main()