id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 49 117 |
|---|---|---|
f173e22b9d71-0 | Source code for langchain.document_loaders.weather
"""Simple reader that reads weather data from OpenWeatherMap API"""
from __future__ import annotations
from datetime import datetime
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.b... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html |
f173e22b9d71-1 | return list(self.lazy_load())
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html |
32a5a7b90ff5-0 | Source code for langchain.document_loaders.url
"""Loader that uses unstructured to load HTML files."""
import logging
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class UnstructuredURLLoade... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
32a5a7b90ff5-1 | def _validate_mode(self, mode: str) -> None:
_valid_modes = {"single", "elements"}
if mode not in _valid_modes:
raise ValueError(
f"Got {mode} for `mode`, but should be one of `{_valid_modes}`"
)
def __is_headers_available_for_html(self) -> bool:
_unst... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
32a5a7b90ff5-2 | elements = partition(url=url, **self.unstructured_kwargs)
else:
if self.__is_headers_available_for_html():
elements = partition_html(
url=url, headers=self.headers, **self.unstructured_kwargs
)
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
a492a9cbd5da-0 | Source code for langchain.document_loaders.imsdb
"""Loader that loads IMSDb."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class IMSDbLoader(WebBaseLoader):
"""Loader that loads IMSDb webpages."""
[docs] def load(se... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/imsdb.html |
9b5254dcd7de-0 | Source code for langchain.document_loaders.unstructured
"""Loader that uses unstructured to load files."""
import collections
from abc import ABC, abstractmethod
from typing import IO, Any, List, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
9b5254dcd7de-1 | import unstructured # noqa:F401
except ImportError:
raise ValueError(
"unstructured package not found, please install it with "
"`pip install unstructured`"
)
_valid_modes = {"single", "elements"}
if mode not in _valid_modes:
r... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
9b5254dcd7de-2 | docs = [Document(page_content=text, metadata=metadata)]
else:
raise ValueError(f"mode of {self.mode} not supported.")
return docs
[docs]class UnstructuredFileLoader(UnstructuredBaseLoader):
"""Loader that uses unstructured to load files."""
def __init__(
self,
file_pa... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
9b5254dcd7de-3 | elements.extend(_elements)
return elements
else:
from unstructured.partition.api import partition_via_api
return partition_via_api(
filename=file_path,
file=file,
api_key=api_key,
api_url=api_url,
**unstructured_kwargs,
)
[d... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
9b5254dcd7de-4 | file: Union[IO, Sequence[IO]],
mode: str = "single",
**unstructured_kwargs: Any,
):
"""Initialize with file path."""
self.file = file
super().__init__(mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from unstructured.partition.auto import partit... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
8c03a645e58c-0 | Source code for langchain.document_loaders.pdf
"""Loader that loads PDF files."""
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from urllib.parse import urlparse
import reque... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-1 | # If the file is a web path, download it to a temporary file, and use that
if not os.path.isfile(self.file_path) and self._is_valid_url(self.file_path):
r = requests.get(self.file_path)
if r.status_code != 200:
raise ValueError(
"Check the url of your ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-2 | """Initialize with file path."""
try:
import pypdf # noqa:F401
except ImportError:
raise ImportError(
"pypdf package not found, please install it with " "`pip install pypdf`"
)
self.parser = PyPDFParser()
super().__init__(file_path)
[d... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-3 | silent_errors: bool = False,
load_hidden: bool = False,
recursive: bool = False,
):
self.path = path
self.glob = glob
self.load_hidden = load_hidden
self.recursive = recursive
self.silent_errors = silent_errors
@staticmethod
def _is_visible(path: Path)... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-4 | [docs] def load(self) -> List[Document]:
"""Eagerly load the content."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""Lazily lod documents."""
blob = Blob.from_path(self.file_path)
yield from self.parser.parse(blob)
[docs... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-5 | """Initialize with file path."""
try:
import fitz # noqa:F401
except ImportError:
raise ImportError(
"`PyMuPDF` package not found, please install it with "
"`pip install pymupdf`"
)
super().__init__(file_path)
[docs] def loa... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-6 | @property
def url(self) -> str:
return "https://api.mathpix.com/v3/pdf"
@property
def data(self) -> dict:
options = {"conversion_formats": {self.processed_file_format: True}}
return {"options_json": json.dumps(options)}
[docs] def send_pdf(self) -> str:
with open(self.file... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-7 | return response.content.decode("utf-8")
[docs] def clean_pdf(self, contents: str) -> str:
contents = "\n".join(
[line for line in contents.split("\n") if not line.startswith("![]")]
)
# replace \section{Title} with # Title
contents = contents.replace("\\section{", "# ").re... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8c03a645e58c-8 | [docs] def load(self) -> List[Document]:
"""Load file."""
parser = PDFPlumberParser(text_kwargs=self.text_kwargs)
blob = Blob.from_path(self.file_path)
return parser.parse(blob)
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
4ed32202637b-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 |
4ed32202637b-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 |
4ed32202637b-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 |
4ed32202637b-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 |
4ed32202637b-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 |
4ed32202637b-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 |
bb417ffb0d43-0 | Source code for langchain.document_loaders.obsidian
"""Loader that loads Obsidian directory dump."""
import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ObsidianLoader(BaseLoader):
"""Loader th... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
bb417ffb0d43-1 | """Load documents."""
ps = list(Path(self.file_path).glob("**/*.md"))
docs = []
for p in ps:
with open(p, encoding=self.encoding) as f:
text = f.read()
front_matter = self._parse_front_matter(text)
text = self._remove_front_matter(text)
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
54a1d9d617fe-0 | Source code for langchain.document_loaders.youtube
"""Loader that loads YouTube transcript."""
from __future__ import annotations
import logging
from pathlib import Path
from typing import Any, Dict, List, Optional
from urllib.parse import parse_qs, urlparse
from pydantic import root_validator
from pydantic.dataclasses... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-1 | """Validate that either folder_id or document_ids is set, but not both."""
if not values.get("credentials_path") and not values.get(
"service_account_path"
):
raise ValueError("Must specify either channel_name or video_ids")
return values
def _load_credentials(self) -... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-2 | token.write(creds.to_json())
return creds
ALLOWED_SCHEMAS = {"http", "https"}
ALLOWED_NETLOCK = {
"youtu.be",
"m.youtube.com",
"youtube.com",
"www.youtube.com",
"www.youtube-nocookie.com",
"vid.plus",
}
def _parse_video_id(url: str) -> Optional[str]:
"""Parse a youtube url and return... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-3 | self.continue_on_failure = continue_on_failure
[docs] @staticmethod
def extract_video_id(youtube_url: str) -> str:
"""Extract video id from common YT urls."""
video_id = _parse_video_id(youtube_url)
if not video_id:
raise ValueError(
f"Could not determine the v... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-4 | transcript = en_transcript.translate(self.language)
transcript_pieces = transcript.fetch()
transcript = " ".join([t["text"].strip(" ") for t in transcript_pieces])
return [Document(page_content=transcript, metadata=metadata)]
def _get_video_info(self) -> dict:
"""Get important video ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-5 | from langchain.document_loaders import GoogleApiYoutubeLoader
google_api_client = GoogleApiClient(
service_account_path=Path("path_to_your_sec_file.json")
)
loader = GoogleApiYoutubeLoader(
google_api_client=google_api_client,
channel_n... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-6 | raise ValueError("Must specify either channel_name or video_ids")
return values
def _get_transcripe_for_video_id(self, video_id: str) -> str:
from youtube_transcript_api import NoTranscriptFound, YouTubeTranscriptApi
transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
t... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-7 | try:
from youtube_transcript_api import (
NoTranscriptFound,
TranscriptsDisabled,
)
except ImportError:
raise ImportError(
"You must run"
"`pip install --upgrade "
"youtube-transcript-api` "
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
54a1d9d617fe-8 | return video_ids
[docs] def load(self) -> List[Document]:
"""Load documents."""
document_list = []
if self.channel_name:
document_list.extend(self._get_document_for_channel(self.channel_name))
elif self.video_ids:
document_list.extend(
[
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html |
8bae184a36b4-0 | 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 |
8bae184a36b4-1 | 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 |
8bae184a36b4-2 | 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 |
d43afad5744e-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 |
d43afad5744e-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 |
dac75b22da35-0 | 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 |
dac75b22da35-1 | ):
"""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 |
dac75b22da35-2 | """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 |
dac75b22da35-3 | )
# 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 |
dac75b22da35-4 | 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 |
dac75b22da35-5 | """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 |
dac75b22da35-6 | 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 |
710652d52fef-0 | Source code for langchain.document_loaders.docugami
"""Loader that loads processed documents from Docugami."""
import io
import logging
import os
import re
from pathlib import Path
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import requests
from pydantic import BaseModel, root_validator
from ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-1 | if values.get("file_paths") and values.get("docset_id"):
raise ValueError("Cannot specify both file_paths and remote API docset_id")
if not values.get("file_paths") and not values.get("docset_id"):
raise ValueError("Must specify either file_paths or remote API docset_id")
if valu... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-2 | ancestor_chain = chunk.xpath("ancestor-or-self::*")
return "/" + "/".join(_xpath_qname_for_chunk(x) for x in ancestor_chain)
def _structure_value(node: Any) -> str:
"""Get the structure value for a node."""
structure = (
"table"
if node.tag == ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-3 | """Create a Document from a node and text."""
metadata = {
XPATH_KEY: _xpath_for_chunk(node),
DOCUMENT_ID_KEY: document["id"],
DOCUMENT_NAME_KEY: document["name"],
STRUCTURE_KEY: node.attrib.get("structure", ""),
TAG_KEY: re.sub... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-4 | while url:
response = requests.get(
url,
headers={"Authorization": f"Bearer {self.access_token}"},
)
if response.ok:
data = response.json()
all_documents.extend(data["documents"])
url = data.get("next", N... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-5 | data={},
)
if response.ok:
data = response.json()
all_artifacts.extend(data["artifacts"])
url = data.get("next", None)
else:
raise Exception(
f"Failed to download {url} (status: {response.status_code}... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-6 | per_file_metadata[doc_id] = metadata
else:
raise Exception(
f"Failed to download {artifact_url}/content "
+ "(status: {response.status_code})"
)
return per_file_metadata
def _load_chunks_for_document(
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
710652d52fef-7 | for project in _project_details:
metadata = self._metadata_for_project(project)
combined_project_metadata.update(metadata)
for doc in _document_details:
doc_metadata = combined_project_metadata.get(doc["id"])
chunks += self._load_chunks... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
fed1c8b2cdc4-0 | 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 |
fed1c8b2cdc4-1 | 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 |
fed1c8b2cdc4-2 | 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 |
fed1c8b2cdc4-3 | ) -> 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 |
5c5bbcdbf5bc-0 | Source code for langchain.document_loaders.psychic
"""Loader that loads documents from Psychic.dev."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class PsychicLoader(BaseLoader):
"""Loader that loads documents from Psychic.de... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/psychic.html |
13ece31996fa-0 | Source code for langchain.document_loaders.hugging_face_dataset
"""Loader that loads HuggingFace datasets."""
from typing import Iterator, List, Mapping, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class HuggingFaceDatasetLoader... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html |
13ece31996fa-1 | self.page_content_column = page_content_column
self.name = name
self.data_dir = data_dir
self.data_files = data_files
self.cache_dir = cache_dir
self.keep_in_memory = keep_in_memory
self.save_infos = save_infos
self.use_auth_token = use_auth_token
self.num... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html |
6a84847abad4-0 | Source code for langchain.document_loaders.tomarkdown
"""Loader that loads HTML to markdown using 2markdown."""
from __future__ import annotations
from typing import Iterator, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ToMarkd... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/tomarkdown.html |
966d41b5afcd-0 | Source code for langchain.document_loaders.joplin
import json
import urllib
from datetime import datetime
from typing import Iterator, List, Optional
from langchain.document_loaders.base import BaseLoader
from langchain.schema import Document
from langchain.utils import get_from_env
LINK_NOTE_TEMPLATE = "joplin://x-cal... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
966d41b5afcd-1 | )
self._get_tag_url = (
f"{base_url}/notes/{{id}}/tags?token={access_token}&fields=title"
)
def _get_notes(self) -> Iterator[Document]:
has_more = True
page = 1
while has_more:
req_note = urllib.request.Request(self._get_note_url.format(page=page))
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
966d41b5afcd-2 | def _convert_date(self, date: int) -> str:
return datetime.fromtimestamp(date / 1000).strftime("%Y-%m-%d %H:%M:%S")
[docs] def lazy_load(self) -> Iterator[Document]:
yield from self._get_notes()
[docs] def load(self) -> List[Document]:
return list(self.lazy_load())
By Harrison Chase
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
eaab2942c85d-0 | Source code for langchain.document_loaders.bibtex
import logging
import re
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.bibtex import BibtexparserWrapper... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
eaab2942c85d-1 | import fitz
parent_dir = Path(self.file_path).parent
# regex is useful for Zotero flavor bibtex files
file_names = self.file_regex.findall(entry.get("file", ""))
if not file_names:
return None
texts: List[str] = []
for file_name in file_names:
try:... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
eaab2942c85d-2 | yield doc
[docs] def load(self) -> List[Document]:
"""Load bibtex file documents from the given bibtex file path.
See https://bibtexparser.readthedocs.io/en/master/
Args:
file_path: the path to the bibtex file
Returns:
a list of documents with the document.page... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
f0026e0012bc-0 | Source code for langchain.document_loaders.image_captions
"""
Loader that loads image captions
By default, the loader utilizes the pre-trained BLIP image captioning model.
https://huggingface.co/Salesforce/blip-image-captioning-base
"""
from typing import Any, List, Tuple, Union
import requests
from langchain.docstore.... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html |
f0026e0012bc-1 | model=model, processor=processor, path_image=path_image
)
doc = Document(page_content=caption, metadata=metadata)
results.append(doc)
return results
def _get_captions_and_metadata(
self, model: Any, processor: Any, path_image: str
) -> Tuple[str, dict]:
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html |
1575dcbc1979-0 | 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 |
1575dcbc1979-1 | 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 |
62c9947a67a9-0 | Source code for langchain.document_loaders.s3_file
"""Loading logic for loading documents from an s3 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 Unst... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html |
64715f0371e7-0 | 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 |
64715f0371e7-1 | 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 |
64715f0371e7-2 | 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 |
64715f0371e7-3 | 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 |
64715f0371e7-4 | """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 |
64715f0371e7-5 | 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 |
64715f0371e7-6 | 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 |
64715f0371e7-7 | 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 |
f38cd52d2fba-0 | Source code for langchain.document_loaders.markdown
"""Loader that loads Markdown files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredMarkdownLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load markdown files."""
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html |
d71f0193fb3d-0 | Source code for langchain.document_loaders.apify_dataset
"""Logic for loading documents from Apify datasets."""
from typing import Any, Callable, Dict, List
from pydantic import BaseModel, root_validator
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html |
d71f0193fb3d-1 | )
return values
[docs] def load(self) -> List[Document]:
"""Load documents."""
dataset_items = self.apify_client.dataset(self.dataset_id).list_items().items
return list(map(self.dataset_mapping_function, dataset_items))
By Harrison Chase
© Copyright 2023, Harrison Chase.
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html |
4dd025cf2608-0 | Source code for langchain.document_loaders.mediawikidump
"""Load Data from a MediaWiki dump xml."""
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class MWDumpLoader(BaseLoader):
"""
Load MediaWiki dump from XML fil... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
4dd025cf2608-1 | )
metadata = {"source": page.title}
docs.append(Document(page_content=text, metadata=metadata))
return docs
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
3f4afed598b6-0 | Source code for langchain.document_loaders.facebook_chat
"""Loader that loads Facebook chat json dump."""
import datetime
import json
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(row: dict) -... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
1c3cb10466cd-0 | Source code for langchain.document_loaders.gitbook
"""Loader that loads GitBook."""
from typing import Any, List, Optional
from urllib.parse import urljoin, urlparse
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class GitbookLoader(WebBaseLoader):
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
1c3cb10466cd-1 | [docs] def load(self) -> List[Document]:
"""Fetch text from one single GitBook page."""
if self.load_all_paths:
soup_info = self.scrape()
relative_paths = self._get_paths(soup_info)
documents = []
for path in relative_paths:
url = urljoi... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
dd07500e49fc-0 | Source code for langchain.document_loaders.blockchain
import os
import re
import time
from enum import Enum
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
class BlockchainType(Enum):
ETH_MAINNET = "eth-mainnet... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
dd07500e49fc-1 | """
def __init__(
self,
contract_address: str,
blockchainType: BlockchainType = BlockchainType.ETH_MAINNET,
api_key: str = "docs-demo",
startToken: str = "",
get_all_tokens: bool = False,
max_execution_time: Optional[int] = None,
):
self.contract_a... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
dd07500e49fc-2 | tokenId = item["id"]["tokenId"]
metadata = {
"source": self.contract_address,
"blockchain": self.blockchainType,
"tokenId": tokenId,
}
result.append(Document(page_content=content, metadata=metadata))
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
dd07500e49fc-3 | else:
return str(result)
# A smart contract can use different formats for the tokenId
@staticmethod
def _detect_value_type(tokenId: str) -> str:
if isinstance(tokenId, int):
return "int"
elif tokenId.startswith("0x"):
return "hex_0x"
elif tokenId.s... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
11580efbb79c-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 |
11580efbb79c-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 |
a913c59732a6-0 | Source code for langchain.document_loaders.discord
"""Load from Discord chat dump"""
from __future__ import annotations
from typing import TYPE_CHECKING, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import pandas as pd
[docs]class Dis... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/discord.html |
f82655826747-0 | Source code for langchain.document_loaders.rtf
"""Loader that loads rich text files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
[docs]class UnstructuredRTFLoader(UnstructuredFileLoader):
"""Loader that u... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
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