codekingpro/portable-devtools
114k
1import datetime2import json3from typing import List4 5from langchain_core.documents import Document6 7from langchain_community.document_loaders.base import BaseLoader8 9 10def concatenate_rows(message: dict, title: str) -> str:11 """12 Combine message information in a readable format ready to be used.13 Args:14 message: Message to be concatenated15 title: Title of the conversation16 17 Returns:18 Concatenated message19 """20 if not message:21 return ""22 23 sender = message["author"]["role"] if message["author"] else "unknown"24 text = message["content"]["parts"][0]25 date = datetime.datetime.fromtimestamp(message["create_time"]).strftime(26 "%Y-%m-%d %H:%M:%S"27 )28 return f"{title} - {sender} on {date}: {text}\n\n"29 30 31class ChatGPTLoader(BaseLoader):32 """Load conversations from exported `ChatGPT` data."""33 34 def __init__(self, log_file: str, num_logs: int = -1):35 """Initialize a class object.36 37 Args:38 log_file: Path to the log file39 num_logs: Number of logs to load. If 0, load all logs.40 """41 self.log_file = log_file42 self.num_logs = num_logs43 44 def load(self) -> List[Document]:45 with open(self.log_file, encoding="utf8") as f:46 data = json.load(f)[: self.num_logs] if self.num_logs else json.load(f)47 48 documents = []49 for d in data:50 title = d["title"]51 messages = d["mapping"]52 text = "".join(53 [54 concatenate_rows(messages[key]["message"], title)55 for idx, key in enumerate(messages)56 if not (57 idx == 058 and messages[key]["message"]["author"]["role"] == "system"59 )60 ]61 )62 metadata = {"source": str(self.log_file)}63 documents.append(Document(page_content=text, metadata=metadata))64 65 return documents66 