From 953e51ef9f084a41047008a20f01864cedbd0945 Mon Sep 17 00:00:00 2001 From: Mathieu Virbel Date: Tue, 10 Oct 2023 14:57:16 +0200 Subject: [PATCH] export danswer as text file --- .gitignore | 1 + server/reflector/tools/exportdanswer.py | 65 +++++++++++++++++++++++++ 2 files changed, 66 insertions(+) create mode 100644 server/reflector/tools/exportdanswer.py diff --git a/.gitignore b/.gitignore index 26db7bf3..a43e88f7 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ .DS_Store server/.env .env +server/exportdanswer diff --git a/server/reflector/tools/exportdanswer.py b/server/reflector/tools/exportdanswer.py new file mode 100644 index 00000000..e5925ba9 --- /dev/null +++ b/server/reflector/tools/exportdanswer.py @@ -0,0 +1,65 @@ +import json +import pathlib + + +async def export_db(filename: str) -> None: + from reflector.settings import settings + + filename = pathlib.Path(filename).resolve() + settings.DATABASE_URL = f"sqlite:///{filename}" + + from reflector.db import database, transcripts + + await database.connect() + transcripts = await database.fetch_all(transcripts.select()) + await database.disconnect() + + def export_transcript(transcript, output_dir): + for topic in transcript.topics: + metadata = { + "link": f"https://reflector.media/transcripts/{transcript.id}#topic:{topic['id']},timestamp:{topic['timestamp']}", + "rfl_id": transcript.id, + "rfl_topic_id": topic["id"], + "rfl_topic_timestamp": topic["timestamp"], + "rfl_topic_title": topic["title"], + } + j_metadata = json.dumps(metadata) + + # export transcript + output = output_dir / f"{transcript.id}-topic-{topic['id']}.txt" + with open(output, "w", encoding="utf8") as fd: + fd.write(f"#DANSWER_METADATA={j_metadata}\n") + fd.write("\n") + fd.write(f"# {topic['title']} [{topic['timestamp']}]\n") + fd.write("\n") + fd.write(f"{topic['transcript']}\n") + + # export summary + output = output_dir / f"{transcript.id}-summary.txt" + metadata = { + "link": f"https://reflector.media/transcripts/{transcript.id}", + "rfl_id": transcript.id, + } + + j_metadata = json.dumps(metadata) + with open(output, "w", encoding="utf8") as fd: + fd.write(f"#DANSWER_METADATA={j_metadata}\n") + fd.write("\n") + fd.write("# Summary\n") + fd.write("\n") + fd.write(f"{transcript.long_summary}\n") + + output_dir = pathlib.Path("exportdanswer") + for transcript in transcripts: + export_transcript(transcript, output_dir) + + +if __name__ == "__main__": + import argparse + import asyncio + + parser = argparse.ArgumentParser() + parser.add_argument("database", help="Sqlite Database file") + args = parser.parse_args() + + asyncio.run(export_db(args.database))