mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
113 lines
4.0 KiB
Python
113 lines
4.0 KiB
Python
|
import base64
|
||
|
import re
|
||
|
from typing import Any, Iterator
|
||
|
|
||
|
from langchain_core.chat_sessions import ChatSession
|
||
|
from langchain_core.messages import HumanMessage
|
||
|
|
||
|
from langchain_community.chat_loaders.base import BaseChatLoader
|
||
|
|
||
|
|
||
|
def _extract_email_content(msg: Any) -> HumanMessage:
|
||
|
from_email = None
|
||
|
for values in msg["payload"]["headers"]:
|
||
|
name = values["name"]
|
||
|
if name == "From":
|
||
|
from_email = values["value"]
|
||
|
if from_email is None:
|
||
|
raise ValueError
|
||
|
for part in msg["payload"]["parts"]:
|
||
|
if part["mimeType"] == "text/plain":
|
||
|
data = part["body"]["data"]
|
||
|
data = base64.urlsafe_b64decode(data).decode("utf-8")
|
||
|
# Regular expression to split the email body at the first
|
||
|
# occurrence of a line that starts with "On ... wrote:"
|
||
|
pattern = re.compile(r"\r\nOn .+(\r\n)*wrote:\r\n")
|
||
|
# Split the email body and extract the first part
|
||
|
newest_response = re.split(pattern, data)[0]
|
||
|
message = HumanMessage(
|
||
|
content=newest_response, additional_kwargs={"sender": from_email}
|
||
|
)
|
||
|
return message
|
||
|
raise ValueError
|
||
|
|
||
|
|
||
|
def _get_message_data(service: Any, message: Any) -> ChatSession:
|
||
|
msg = service.users().messages().get(userId="me", id=message["id"]).execute()
|
||
|
message_content = _extract_email_content(msg)
|
||
|
in_reply_to = None
|
||
|
email_data = msg["payload"]["headers"]
|
||
|
for values in email_data:
|
||
|
name = values["name"]
|
||
|
if name == "In-Reply-To":
|
||
|
in_reply_to = values["value"]
|
||
|
if in_reply_to is None:
|
||
|
raise ValueError
|
||
|
|
||
|
thread_id = msg["threadId"]
|
||
|
|
||
|
thread = service.users().threads().get(userId="me", id=thread_id).execute()
|
||
|
messages = thread["messages"]
|
||
|
|
||
|
response_email = None
|
||
|
for message in messages:
|
||
|
email_data = message["payload"]["headers"]
|
||
|
for values in email_data:
|
||
|
if values["name"] == "Message-ID":
|
||
|
message_id = values["value"]
|
||
|
if message_id == in_reply_to:
|
||
|
response_email = message
|
||
|
if response_email is None:
|
||
|
raise ValueError
|
||
|
starter_content = _extract_email_content(response_email)
|
||
|
return ChatSession(messages=[starter_content, message_content])
|
||
|
|
||
|
|
||
|
class GMailLoader(BaseChatLoader):
|
||
|
"""Load data from `GMail`.
|
||
|
|
||
|
There are many ways you could want to load data from GMail.
|
||
|
This loader is currently fairly opinionated in how to do so.
|
||
|
The way it does it is it first looks for all messages that you have sent.
|
||
|
It then looks for messages where you are responding to a previous email.
|
||
|
It then fetches that previous email, and creates a training example
|
||
|
of that email, followed by your email.
|
||
|
|
||
|
Note that there are clear limitations here. For example,
|
||
|
all examples created are only looking at the previous email for context.
|
||
|
|
||
|
To use:
|
||
|
|
||
|
- Set up a Google Developer Account:
|
||
|
Go to the Google Developer Console, create a project,
|
||
|
and enable the Gmail API for that project.
|
||
|
This will give you a credentials.json file that you'll need later.
|
||
|
"""
|
||
|
|
||
|
def __init__(self, creds: Any, n: int = 100, raise_error: bool = False) -> None:
|
||
|
super().__init__()
|
||
|
self.creds = creds
|
||
|
self.n = n
|
||
|
self.raise_error = raise_error
|
||
|
|
||
|
def lazy_load(self) -> Iterator[ChatSession]:
|
||
|
from googleapiclient.discovery import build
|
||
|
|
||
|
service = build("gmail", "v1", credentials=self.creds)
|
||
|
results = (
|
||
|
service.users()
|
||
|
.messages()
|
||
|
.list(userId="me", labelIds=["SENT"], maxResults=self.n)
|
||
|
.execute()
|
||
|
)
|
||
|
messages = results.get("messages", [])
|
||
|
for message in messages:
|
||
|
try:
|
||
|
yield _get_message_data(service, message)
|
||
|
except Exception as e:
|
||
|
# TODO: handle errors better
|
||
|
if self.raise_error:
|
||
|
raise e
|
||
|
else:
|
||
|
pass
|