id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 49 117 |
|---|---|---|
00d48d5791df-0 | Source code for langchain.document_loaders.evernote
"""Load documents from Evernote.
https://gist.github.com/foxmask/7b29c43a161e001ff04afdb2f181e31c
"""
import hashlib
import logging
from base64 import b64decode
from time import strptime
from typing import Any, Dict, Iterator, List, Optional
from langchain.docstore.do... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
00d48d5791df-1 | self.file_path = file_path
self.load_single_document = load_single_document
[docs] def load(self) -> List[Document]:
"""Load documents from EverNote export file."""
documents = [
Document(
page_content=note["content"],
metadata={
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
00d48d5791df-2 | rsc_dict["hash"] = hashlib.md5(rsc_dict[elem.tag]).hexdigest()
else:
rsc_dict[elem.tag] = elem.text
return rsc_dict
@staticmethod
def _parse_note(note: List, prefix: Optional[str] = None) -> dict:
note_dict: Dict[str, Any] = {}
resources = []
def add_p... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
00d48d5791df-3 | # Without huge_tree set to True, parser may complain about huge text node
# Try to recover, because there may be " ", which will cause
# "XMLSyntaxError: Entity 'nbsp' not defined"
try:
from lxml import etree
except ImportError as e:
logging.error(
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
501394452f8b-0 | Source code for langchain.document_loaders.html_bs
"""Loader that uses bs4 to load HTML files, enriching metadata with page title."""
import logging
from typing import Dict, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__n... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
501394452f8b-1 | title = ""
metadata: Dict[str, Union[str, None]] = {
"source": self.file_path,
"title": title,
}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
7f73a32534b5-0 | Source code for langchain.document_loaders.hn
"""Loader that loads HN."""
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class HNLoader(WebBaseLoader):
"""Load Hacker News data from either main page results or the com... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
7f73a32534b5-1 | title = lineItem.find("span", {"class": "titleline"}).text.strip()
metadata = {
"source": self.web_path,
"title": title,
"link": link,
"ranking": ranking,
}
documents.append(
Document(
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
c3410e78ad83-0 | Source code for langchain.document_loaders.azure_blob_storage_file
"""Loading logic for loading documents from an Azure Blob Storage file."""
import os
import tempfile
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
f68d52594afe-0 | Source code for langchain.document_loaders.duckdb_loader
from typing import Dict, List, Optional, cast
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DuckDBLoader(BaseLoader):
"""Loads a query result from DuckDB into a list of documents.
Each ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html |
f68d52594afe-1 | results = query_result.fetchall()
description = cast(list, query_result.description)
field_names = [c[0] for c in description]
if self.page_content_columns is None:
page_content_columns = field_names
else:
page_content_columns = self.page_c... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html |
86280d2cad9c-0 | Source code for langchain.document_loaders.word_document
"""Loader that loads word documents."""
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
86280d2cad9c-1 | if hasattr(self, "temp_file"):
self.temp_file.close()
[docs] def load(self) -> List[Document]:
"""Load given path as single page."""
import docx2txt
return [
Document(
page_content=docx2txt.process(self.file_path),
metadata={"source": se... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
86280d2cad9c-2 | "Please upgrade the unstructured package and try again."
)
if is_doc:
from unstructured.partition.doc import partition_doc
return partition_doc(filename=self.file_path, **self.unstructured_kwargs)
else:
from unstructured.partition.docx import partition_doc... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
1940d2a51d1e-0 | Source code for langchain.document_loaders.sitemap
"""Loader that fetches a sitemap and loads those URLs."""
import itertools
import re
from typing import Any, Callable, Generator, Iterable, List, Optional
from langchain.document_loaders.web_base import WebBaseLoader
from langchain.schema import Document
def _default_p... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
1940d2a51d1e-1 | meta_function: Function to parse bs4.Soup output for metadata
remember when setting this method to also copy metadata["loc"]
to metadata["source"] if you are using this field
is_local: whether the sitemap is a local file
"""
if blocksize is not None and blocks... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
1940d2a51d1e-2 | }
)
for sitemap in soup.find_all("sitemap"):
loc = sitemap.find("loc")
if not loc:
continue
soup_child = self.scrape_all([loc.text], "xml")[0]
els.extend(self.parse_sitemap(soup_child))
return els
[docs] def load(self) -> Lis... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
6c4e9e2faac2-0 | Source code for langchain.document_loaders.googledrive
"""Loader that loads data from Google Drive."""
# Prerequisites:
# 1. Create a Google Cloud project
# 2. Enable the Google Drive API:
# https://console.cloud.google.com/flows/enableapi?apiid=drive.googleapis.com
# 3. Authorize credentials for desktop app:
# htt... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-1 | if values.get("folder_id") and (
values.get("document_ids") or values.get("file_ids")
):
raise ValueError(
"Cannot specify both folder_id and document_ids nor "
"folder_id and file_ids"
)
if (
not values.get("folder_id")
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-2 | return type_mapping[x] if x in type_mapping else x
values["file_types"] = [full_form(file_type) for file_type in file_types]
return values
@validator("credentials_path")
def validate_credentials_path(cls, v: Any, **kwargs: Any) -> Any:
"""Validate that credentials_path exists."""
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-3 | with open(self.token_path, "w") as token:
token.write(creds.to_json())
return creds
def _load_sheet_from_id(self, id: str) -> List[Document]:
"""Load a sheet and all tabs from an ID."""
from googleapiclient.discovery import build
creds = self._load_credentials()
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-4 | """Load a document from an ID."""
from io import BytesIO
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from googleapiclient.http import MediaIoBaseDownload
creds = self._load_credentials()
service = build("drive", "v3", credentia... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-5 | if file_types:
_files = [f for f in files if f["mimeType"] in file_types] # type: ignore
else:
_files = files
returns = []
for file in files:
if file["trashed"] and not self.load_trashed_files:
continue
elif file["mimeType"] == "ap... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-6 | else:
returns.append(file)
return returns
def _load_documents_from_ids(self) -> List[Document]:
"""Load documents from a list of IDs."""
if not self.document_ids:
raise ValueError("document_ids must be set")
return [self._load_document_from_id(doc_id) for ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
6c4e9e2faac2-7 | raise ValueError("file_ids must be set")
docs = []
for file_id in self.file_ids:
docs.extend(self._load_file_from_id(file_id))
return docs
[docs] def load(self) -> List[Document]:
"""Load documents."""
if self.folder_id:
return self._load_documents_from... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
0e11c257bf3a-0 | Source code for langchain.document_loaders.json_loader
"""Loader that loads data from JSON."""
import json
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class JSONLoader... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
0e11c257bf3a-1 | """
try:
import jq # noqa:F401
except ImportError:
raise ImportError(
"jq package not found, please install it with `pip install jq`"
)
self.file_path = Path(file_path).resolve()
self._jq_schema = jq.compile(jq_schema)
self._co... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
0e11c257bf3a-2 | metadata = self._metadata_func(sample, metadata)
else:
content = sample
if self._text_content and not isinstance(content, str):
raise ValueError(
f"Expected page_content is string, got {type(content)} instead. \
Set `text_content=False` if the ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
80fb1469e416-0 | Source code for langchain.document_loaders.arxiv
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.arxiv import ArxivAPIWrapper
[docs]class ArxivLoader(BaseLoader):
"""Loads a query result from arxiv.org... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/arxiv.html |
b8a0818d9450-0 | Source code for langchain.document_loaders.blackboard
"""Loader that loads all documents from a blackboard course."""
import contextlib
import re
from pathlib import Path
from typing import Any, List, Optional, Tuple
from urllib.parse import unquote
from langchain.docstore.document import Document
from langchain.docume... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
b8a0818d9450-1 | ):
"""Initialize with blackboard course url.
The BbRouter cookie is required for most blackboard courses.
Args:
blackboard_course_url: Blackboard course url.
bbrouter: BbRouter cookie.
load_all_recursively: If True, load all documents recursively.
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
b8a0818d9450-2 | """Load data into document objects.
Returns:
List of documents.
"""
if self.load_all_recursively:
soup_info = self.scrape()
self.folder_path = self._get_folder_path(soup_info)
relative_paths = self._get_paths(soup_info)
documents = []
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
b8a0818d9450-3 | )
# Get the folder path
folder_path = Path(".") / course_name_clean
return str(folder_path)
def _get_documents(self, soup: Any) -> List[Document]:
"""Fetch content from page and return Documents.
Args:
soup: BeautifulSoup4 soup object.
Returns:
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
b8a0818d9450-4 | Path(self.folder_path).mkdir(parents=True, exist_ok=True)
# Download all attachments
for attachment in attachments:
self.download(attachment)
def _load_documents(self) -> List[Document]:
"""Load all documents in the folder.
Returns:
List of documents.
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
b8a0818d9450-5 | """Parse the filename from a url.
Args:
url: Url to parse the filename from.
Returns:
The filename.
"""
if (url_path := Path(url)) and url_path.suffix == ".pdf":
return url_path.name
else:
return self._parse_filename_from_url(url)
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
b8a0818d9450-6 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html |
996c6459381d-0 | Source code for langchain.document_loaders.url_playwright
"""Loader that uses Playwright to load a page, then uses unstructured to load the html.
"""
import logging
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
996c6459381d-1 | [docs] def load(self) -> List[Document]:
"""Load the specified URLs using Playwright and create Document instances.
Returns:
List[Document]: A list of Document instances with loaded content.
"""
from playwright.sync_api import sync_playwright
from unstructured.part... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
7e17bbb6e1cf-0 | Source code for langchain.document_loaders.python
import tokenize
from langchain.document_loaders.text import TextLoader
[docs]class PythonLoader(TextLoader):
"""
Load Python files, respecting any non-default encoding if specified.
"""
def __init__(self, file_path: str):
with open(file_path, "rb... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/python.html |
3df7f12ee88c-0 | Source code for langchain.document_loaders.airbyte_json
"""Loader that loads local airbyte json files."""
import json
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
[docs]class AirbyteJSONLoader(B... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte_json.html |
ba7ef36f2d84-0 | Source code for langchain.document_loaders.notiondb
"""Notion DB loader for langchain"""
from typing import Any, Dict, List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
NOTION_BASE_URL = "https://api.notion.com/v1"
DATABASE_URL = NOTIO... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ba7ef36f2d84-1 | Returns:
List[Document]: List of documents.
"""
page_ids = self._retrieve_page_ids()
return list(self.load_page(page_id) for page_id in page_ids)
def _retrieve_page_ids(
self, query_dict: Dict[str, Any] = {"page_size": 100}
) -> List[str]:
"""Get all the pages... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ba7ef36f2d84-2 | value = (
[item["name"] for item in prop_data["multi_select"]]
if prop_data["multi_select"]
else []
)
elif prop_type == "url":
value = prop_data["url"]
else:
value = None
metad... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ba7ef36f2d84-3 | ) -> Any:
res = requests.request(
method,
url,
headers=self.headers,
json=query_dict,
timeout=self.request_timeout_sec,
)
res.raise_for_status()
return res.json()
By Harrison Chase
© Copyright 2023, Harrison Chase.
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
360bc80247ad-0 | Source code for langchain.document_loaders.azure_blob_storage_container
"""Loading logic for loading documents from an Azure Blob Storage container."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
a88f46461310-0 | Source code for langchain.document_loaders.azlyrics
"""Loader that loads AZLyrics."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class AZLyricsLoader(WebBaseLoader):
"""Loader that loads AZLyrics webpages."""
[docs] ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azlyrics.html |
a65a143a0955-0 | Source code for langchain.document_loaders.text
import logging
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.helpers import detect_file_encodings
logger = logging.getLogger(__name__)
[docs]class T... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
a65a143a0955-1 | except Exception as e:
raise RuntimeError(f"Error loading {self.file_path}") from e
metadata = {"source": self.file_path}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
9bcd6a66de1e-0 | Source code for langchain.document_loaders.notebook
"""Loader that loads .ipynb notebook files."""
import json
from pathlib import Path
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_cells(
cell: dict, include_outp... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
9bcd6a66de1e-1 | return f"'{cell_type}' cell: '{source}'\n\n"
return ""
def remove_newlines(x: Any) -> Any:
"""Remove recursively newlines, no matter the data structure they are stored in."""
import pandas as pd
if isinstance(x, str):
return x.replace("\n", "")
elif isinstance(x, list):
return [remov... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
9bcd6a66de1e-2 | if self.remove_newline:
filtered_data = filtered_data.applymap(remove_newlines)
text = filtered_data.apply(
lambda x: concatenate_cells(
x, self.include_outputs, self.max_output_length, self.traceback
),
axis=1,
).str.cat(sep=" ")
m... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
07a108179143-0 | Source code for langchain.document_loaders.wikipedia
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.wikipedia import WikipediaAPIWrapper
[docs]class WikipediaLoader(BaseLoader):
"""Loads a query resul... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html |
9ecafac1c215-0 | Source code for langchain.document_loaders.spreedly
"""Loader that fetches data from Spreedly API."""
import json
import urllib.request
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
SPREEDLY_ENDP... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/spreedly.html |
9ecafac1c215-1 | text = stringify_dict(json_data)
metadata = {"source": url}
return [Document(page_content=text, metadata=metadata)]
def _get_resource(self) -> List[Document]:
endpoint = SPREEDLY_ENDPOINTS.get(self.resource)
if endpoint is None:
return []
return self._make... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/spreedly.html |
d7f88d75371a-0 | Source code for langchain.document_loaders.ifixit
"""Loader that loads iFixit data."""
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.web_base import WebBaseLoader
IFIXIT_BASE_URL =... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
d7f88d75371a-1 | """Teardowns are just guides by a different name"""
self.page_type = pieces[0] if pieces[0] != "Teardown" else "Guide"
if self.page_type == "Guide" or self.page_type == "Answers":
self.id = pieces[2]
else:
self.id = pieces[1]
self.web_path = web_path
[docs] def... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
d7f88d75371a-2 | self, url_override: Optional[str] = None
) -> List[Document]:
loader = WebBaseLoader(self.web_path if url_override is None else url_override)
soup = loader.scrape()
output = []
title = soup.find("h1", "post-title").text
output.append("# " + title)
output.append(soup.s... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
d7f88d75371a-3 | text = "\n".join(
[
data[key]
for key in ["title", "description", "contents_raw"]
if key in data
]
).strip()
metadata = {"source": self.web_path, "title": data["title"]}
documents.append(Document(page_content=text, metadata=... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
d7f88d75371a-4 | doc_parts.append("\n - " + part["text"])
for row in data["steps"]:
doc_parts.append(
"\n\n## "
+ (
row["title"]
if row["title"] != ""
else "Step {}".format(row["orderby"])
)
)
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
17d5b757d27f-0 | Source code for langchain.document_loaders.csv_loader
import csv
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class CSVLoader(BaseLoader):
"""Loads a CSV file into a list of documents.
Each document represen... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
17d5b757d27f-1 | for i, row in enumerate(csv_reader):
content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items())
try:
source = (
row[self.source_column]
if self.source_column is not None
else self.fi... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
90e77fc66c37-0 | Source code for langchain.document_loaders.gcs_file
"""Loading logic for loading documents from a GCS file."""
import os
import tempfile
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import Uns... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_file.html |
76c1a897d7bd-0 | Source code for langchain.document_loaders.toml
import json
from pathlib import Path
from typing import Iterator, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class TomlLoader(BaseLoader):
"""
A TOML document loader that inherits from ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/toml.html |
76c1a897d7bd-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/toml.html |
ef578debfa4c-0 | Source code for langchain.document_loaders.telegram
"""Loader that loads Telegram chat json dump."""
from __future__ import annotations
import asyncio
import json
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.docume... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
ef578debfa4c-1 | if isinstance(text, str):
# Take a single string as one page
text = [text]
page_docs = [Document(page_content=page) for page in text]
# Add page numbers as metadata
for i, doc in enumerate(page_docs):
doc.metadata["page"] = i + 1
# Split pages into chunks
doc_chunks = []
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
ef578debfa4c-2 | [docs] async def fetch_data_from_telegram(self) -> None:
"""Fetch data from Telegram API and save it as a JSON file."""
from telethon.sync import TelegramClient
data = []
async with TelegramClient(self.username, self.api_id, self.api_hash) as client:
async for message in c... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
ef578debfa4c-3 | Args:
parent_id (int): The parent message ID.
reply_data (pd.DataFrame): A DataFrame containing reply messages.
Returns:
list: A list of message IDs that are replies to the parent message ID.
"""
# Find direct replies to the parent mess... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
ef578debfa4c-4 | Args:
message_threads (dict): A dictionary where the key is the parent message \
ID and the value is a list of message IDs in ascending order.
data (pd.DataFrame): A DataFrame containing the conversation data:
- message.sender_id
- text
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
ef578debfa4c-5 | please install with `pip install pandas`
"""
)
normalized_messages = pd.json_normalize(d)
df = pd.DataFrame(normalized_messages)
message_threads = self._get_message_threads(df)
combined_texts = self._combine_message_texts(message_threads, df)
return te... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
a17606966641-0 | Source code for langchain.chat_models.google_palm
"""Wrapper around Google's PaLM Chat API."""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Mapping, Optional
from pydantic import BaseModel, root_validator
from tenacity import (
before_sleep_log,
... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
a17606966641-1 | raise ChatGooglePalmError("ChatResponse must have at least one candidate.")
generations: List[ChatGeneration] = []
for candidate in response.candidates:
author = candidate.get("author")
if author is None:
raise ChatGooglePalmError(f"ChatResponse must have an author: {candidate}")
... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
a17606966641-2 | raise ChatGooglePalmError("System message must be first input message.")
context = input_message.content
elif isinstance(input_message, HumanMessage) and input_message.example:
if messages:
raise ChatGooglePalmError(
"Message examples must come before ... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
a17606966641-3 | return genai.types.MessagePromptDict(
context=context,
examples=examples,
messages=messages,
)
def _create_retry_decorator() -> Callable[[Any], Any]:
"""Returns a tenacity retry decorator, preconfigured to handle PaLM exceptions"""
import google.api_core.exceptions
multiplier = 2... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
a17606966641-4 | return await llm.client.chat_async(**kwargs)
return await _achat_with_retry(**kwargs)
[docs]class ChatGooglePalm(BaseChatModel, BaseModel):
"""Wrapper around Google's PaLM Chat API.
To use you must have the google.generativeai Python package installed and
either:
1. The ``GOOGLE_API_KEY``` envir... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
a17606966641-5 | """Validate api key, python package exists, temperature, top_p, and top_k."""
google_api_key = get_from_dict_or_env(
values, "google_api_key", "GOOGLE_API_KEY"
)
try:
import google.generativeai as genai
genai.configure(api_key=google_api_key)
except Im... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
a17606966641-6 | candidate_count=self.n,
)
return _response_to_result(response, stop)
async def _agenerate(
self,
messages: List[BaseMessage],
stop: Optional[List[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
) -> ChatResult:
prompt = _messages... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/google_palm.html |
c6ea77d826ca-0 | Source code for langchain.chat_models.azure_openai
"""Azure OpenAI chat wrapper."""
from __future__ import annotations
import logging
from typing import Any, Dict, Mapping
from pydantic import root_validator
from langchain.chat_models.openai import ChatOpenAI
from langchain.schema import ChatResult
from langchain.utils... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/azure_openai.html |
c6ea77d826ca-1 | openai_api_base: str = ""
openai_api_version: str = ""
openai_api_key: str = ""
openai_organization: str = ""
openai_proxy: str = ""
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
openai... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/azure_openai.html |
c6ea77d826ca-2 | openai.organization = openai_organization
if openai_proxy:
openai.proxy = {"http": openai_proxy, "https": openai_proxy} # type: ignore[assignment] # noqa: E501
except ImportError:
raise ImportError(
"Could not import openai python package. "
... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/azure_openai.html |
c6ea77d826ca-3 | if res.get("finish_reason", None) == "content_filter":
raise ValueError(
"Azure has not provided the response due to a content"
" filter being triggered"
)
return super()._create_chat_result(response)
By Harrison Chase
© Copyrigh... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/azure_openai.html |
c5793726a8e7-0 | Source code for langchain.chat_models.vertexai
"""Wrapper around Google VertexAI chat-based models."""
from dataclasses import dataclass, field
from typing import Dict, List, Optional
from pydantic import root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForL... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/vertexai.html |
c5793726a8e7-1 | """
if not history:
return _ChatHistory()
first_message = history[0]
system_message = first_message if isinstance(first_message, SystemMessage) else None
chat_history = _ChatHistory(system_message=system_message)
messages_left = history[1:] if system_message else history
if len(messages_... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/vertexai.html |
c5793726a8e7-2 | ) -> ChatResult:
"""Generate next turn in the conversation.
Args:
messages: The history of the conversation as a list of messages.
stop: The list of stop words (optional).
run_manager: The Callbackmanager for LLM run, it's not used at the moment.
Returns:
... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/vertexai.html |
c5793726a8e7-3 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/chat_models/vertexai.html |
abe24beb4b5f-0 | Source code for langchain.chat_models.promptlayer_openai
"""PromptLayer wrapper."""
import datetime
from typing import Any, List, Mapping, Optional
from langchain.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain.chat_models import ChatOpenAI
from langchain.sch... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/promptlayer_openai.html |
abe24beb4b5f-1 | ) -> ChatResult:
"""Call ChatOpenAI generate and then call PromptLayer API to log the request."""
from promptlayer.utils import get_api_key, promptlayer_api_request
request_start_time = datetime.datetime.now().timestamp()
generated_responses = super()._generate(messages, stop, run_manage... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/promptlayer_openai.html |
abe24beb4b5f-2 | generated_responses = await super()._agenerate(messages, stop, run_manager)
request_end_time = datetime.datetime.now().timestamp()
message_dicts, params = super()._create_message_dicts(messages, stop)
for i, generation in enumerate(generated_responses.generations):
response_dict, par... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/promptlayer_openai.html |
7a49ad8a6fba-0 | Source code for langchain.chat_models.anthropic
from typing import Any, Dict, List, Optional
from pydantic import Extra
from langchain.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain.chat_models.base import BaseChatModel
from langchain.llms.anthropic import _... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/anthropic.html |
7a49ad8a6fba-1 | elif isinstance(message, AIMessage):
message_text = f"{self.AI_PROMPT} {message.content}"
elif isinstance(message, SystemMessage):
message_text = f"{self.HUMAN_PROMPT} <admin>{message.content}</admin>"
else:
raise ValueError(f"Got unknown type {message}")
retu... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/anthropic.html |
7a49ad8a6fba-2 | ) -> ChatResult:
prompt = self._convert_messages_to_prompt(messages)
params: Dict[str, Any] = {"prompt": prompt, **self._default_params}
if stop:
params["stop_sequences"] = stop
if self.streaming:
completion = ""
stream_resp = self.client.completion_st... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/anthropic.html |
7a49ad8a6fba-3 | completion = response["completion"]
message = AIMessage(content=completion)
return ChatResult(generations=[ChatGeneration(message=message)])
[docs] def get_num_tokens(self, text: str) -> int:
"""Calculate number of tokens."""
if not self.count_tokens:
raise NameError("Plea... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/anthropic.html |
76e596cfdd32-0 | Source code for langchain.chat_models.openai
"""OpenAI chat wrapper."""
from __future__ import annotations
import logging
import sys
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Mapping,
Optional,
Tuple,
Union,
)
from pydantic import Extra, Field, root_validator
fro... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-1 | return retry(
reraise=True,
stop=stop_after_attempt(llm.max_retries),
wait=wait_exponential(multiplier=1, min=min_seconds, max=max_seconds),
retry=(
retry_if_exception_type(openai.error.Timeout)
| retry_if_exception_type(openai.error.APIError)
| retry_... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-2 | elif isinstance(message, HumanMessage):
message_dict = {"role": "user", "content": message.content}
elif isinstance(message, AIMessage):
message_dict = {"role": "assistant", "content": message.content}
elif isinstance(message, SystemMessage):
message_dict = {"role": "system", "content": ... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-3 | leave blank if not using a proxy or service emulator."""
openai_api_base: Optional[str] = None
openai_organization: Optional[str] = None
# to support explicit proxy for OpenAI
openai_proxy: Optional[str] = None
request_timeout: Optional[Union[float, Tuple[float, float]]] = None
"""Timeout for re... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-4 | invalid_model_kwargs = all_required_field_names.intersection(extra.keys())
if invalid_model_kwargs:
raise ValueError(
f"Parameters {invalid_model_kwargs} should be specified explicitly. "
f"Instead they were passed in as part of `model_kwargs` parameter."
... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-5 | try:
values["client"] = openai.ChatCompletion
except AttributeError:
raise ValueError(
"`openai` has no `ChatCompletion` attribute, this is likely "
"due to an old version of the openai package. Try upgrading it "
"with `pip install --upgra... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-6 | | retry_if_exception_type(openai.error.APIConnectionError)
| retry_if_exception_type(openai.error.RateLimitError)
| retry_if_exception_type(openai.error.ServiceUnavailableError)
),
before_sleep=before_sleep_log(logger, logging.WARNING),
)
[docs] def com... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
76e596cfdd32-7 | messages=message_dicts, **params
):
role = stream_resp["choices"][0]["delta"].get("role", role)
token = stream_resp["choices"][0]["delta"].get("content", "")
inner_completion += token
if run_manager:
run_manager.on_llm_new_t... | https://python.langchain.com/en/latest/_modules/langchain/chat_models/openai.html |
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