id stringlengths 14 15 | text stringlengths 44 2.47k | source stringlengths 61 181 |
|---|---|---|
9ac2aeccc888-0 | Source code for langchain.document_loaders.mongodb
import asyncio
import logging
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class MongodbLoader(BaseLoader):
"""Load MongoDB... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mongodb.html |
9ac2aeccc888-1 | """
return asyncio.run(self.aload())
[docs] async def aload(self) -> List[Document]:
"""Load data into Document objects."""
result = []
total_docs = await self.collection.count_documents(self.filter_criteria)
async for doc in self.collection.find(self.filter_criteria):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mongodb.html |
013c8e3970a9-0 | Source code for langchain.document_loaders.onedrive_file
from __future__ import annotations
import tempfile
from typing import TYPE_CHECKING, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import UnstructuredFileL... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive_file.html |
a4674b19273f-0 | Source code for langchain.document_loaders.iugu
import json
import urllib.request
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import get_from_env, stringify_dict
IUGU_ENDPOINTS = {
"invoices": "https:/... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
a4674b19273f-1 | endpoint = IUGU_ENDPOINTS.get(self.resource)
if endpoint is None:
return []
return self._make_request(endpoint)
[docs] def load(self) -> List[Document]:
return self._get_resource() | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
0605b52f31db-0 | Source code for langchain.document_loaders.spreedly
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_ENDPOINTS = {
"gateways_options": "https://core.sp... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/spreedly.html |
0605b52f31db-1 | with urllib.request.urlopen(request) as response:
json_data = json.loads(response.read().decode())
text = stringify_dict(json_data)
metadata = {"source": url}
return [Document(page_content=text, metadata=metadata)]
def _get_resource(self) -> List[Document]:
en... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/spreedly.html |
87068984e1cd-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):
"""Load `TOML` files.
It can load a single sou... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/toml.html |
598eb72d38ee-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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
598eb72d38ee-1 | from unstructured.__version__ import __version__ as __unstructured_version__
self.__version = __unstructured_version__
except ImportError:
raise ImportError(
"unstructured package not found, please install it with "
"`pip install unstructured`"
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
598eb72d38ee-2 | _unstructured_version = self.__version.split("-")[0]
unstructured_version = tuple([int(x) for x in _unstructured_version.split(".")])
return unstructured_version >= (0, 5, 13)
def __is_non_html_available(self) -> bool:
_unstructured_version = self.__version.split("-")[0]
unstructured... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
598eb72d38ee-3 | except Exception as e:
if self.continue_on_failure:
logger.error(f"Error fetching or processing {url}, exception: {e}")
continue
else:
raise e
if self.mode == "single":
text = "\n\n".join([str(el) for... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html |
cf122595313e-0 | Source code for langchain.document_loaders.concurrent
from __future__ import annotations
import concurrent.futures
from pathlib import Path
from typing import Iterator, Literal, Optional, Sequence, Union
from langchain.document_loaders.base import BaseBlobParser
from langchain.document_loaders.blob_loaders import BlobL... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/concurrent.html |
cf122595313e-1 | num_workers: int = 4,
) -> ConcurrentLoader:
"""
Create a concurrent generic document loader using a
filesystem blob loader.
Args:
path: The path to the directory to load documents from.
glob: The glob pattern to use to find documents.
suffixes: Th... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/concurrent.html |
b2e3a2ba9b28-0 | Source code for langchain.document_loaders.airbyte_json
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(BaseLoader):
"""Load local `Airbyte` json files... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte_json.html |
92773b842213-0 | Source code for langchain.document_loaders.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_loaders.unstructured import UnstructuredFileLoader
[docs]class AzureBlobSto... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
f89b1c37a48e-0 | Source code for langchain.document_loaders.csv_loader
import csv
from typing import Any, Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructure... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
f89b1c37a48e-1 | encoding: The encoding of the CSV file. Optional. Defaults to None.
"""
self.file_path = file_path
self.source_column = source_column
self.encoding = encoding
self.csv_args = csv_args or {}
[docs] def load(self) -> List[Document]:
"""Load data into document objects."""... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
f89b1c37a48e-2 | --------
from langchain.document_loaders.csv_loader import UnstructuredCSVLoader
loader = UnstructuredCSVLoader("stanley-cups.csv", mode="elements")
docs = loader.load()
"""
[docs] def __init__(
self, file_path: str, mode: str = "single", **unstructured_kwargs: Any
):
"""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
c303b57e2e5f-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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
c303b57e2e5f-1 | self.parser = parser or BibtexparserWrapper()
self.max_docs = max_docs
self.max_content_chars = max_content_chars
self.load_extra_metadata = load_extra_metadata
self.file_regex = re.compile(file_pattern)
def _load_entry(self, entry: Mapping[str, Any]) -> Optional[Document]:
i... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
c303b57e2e5f-2 | "`pip install pymupdf`"
)
entries = self.parser.load_bibtex_entries(self.file_path)
if self.max_docs:
entries = entries[: self.max_docs]
for entry in entries:
doc = self._load_entry(entry)
if doc:
yield doc
[docs] def load(self) ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
6d6236eb35cf-0 | Source code for langchain.document_loaders.gutenberg
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GutenbergLoader(BaseLoader):
"""Load from `Gutenberg.org`."""
[docs] def __init__(self, file_path: str):
"""Init... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gutenberg.html |
eca29c67e00d-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, Callable, Dict, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.b... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-1 | **unstructured_kwargs: Any,
):
"""Initialize with file path."""
try:
import unstructured # noqa:F401
except ImportError:
raise ValueError(
"unstructured package not found, please install it with "
"`pip install unstructured`"
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-2 | for element in elements:
metadata = self._get_metadata()
# NOTE(MthwRobinson) - the attribute check is for backward compatibility
# with unstructured<0.4.9. The metadata attributed was added in 0.4.9.
if hasattr(element, "metadata"):
me... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-3 | docs = [Document(page_content=text, metadata=metadata)]
else:
raise ValueError(f"mode of {self.mode} not supported.")
return docs
[docs]class UnstructuredFileLoader(UnstructuredBaseLoader):
"""Load files using `Unstructured`.
The file loader uses the
unstructured partition functi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-4 | return {"source": self.file_path}
[docs]def get_elements_from_api(
file_path: Union[str, List[str], None] = None,
file: Union[IO, Sequence[IO], None] = None,
api_url: str = "https://api.unstructured.io/general/v0/general",
api_key: str = "",
**unstructured_kwargs: Any,
) -> List:
"""Retrieve a l... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-5 | https://www.unstructured.io/api-key/ if you need to generate a key.
You can run the loader in one of two modes: "single" and "elements".
If you use "single" mode, the document will be returned as a single
langchain Document object. If you use "elements" mode, the unstructured
library will split the docu... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-6 | def _get_elements(self) -> List:
return get_elements_from_api(
file_path=self.file_path,
api_key=self.api_key,
api_url=self.url,
**self.unstructured_kwargs,
)
[docs]class UnstructuredFileIOLoader(UnstructuredBaseLoader):
"""Load files using `Unstructur... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-7 | return partition(file=self.file, **self.unstructured_kwargs)
def _get_metadata(self) -> dict:
return {}
[docs]class UnstructuredAPIFileIOLoader(UnstructuredFileIOLoader):
"""Load files using `Unstructured` API.
By default, the loader makes a call to the hosted Unstructured API.
If you are runnin... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
eca29c67e00d-8 | mode: str = "single",
url: str = "https://api.unstructured.io/general/v0/general",
api_key: str = "",
**unstructured_kwargs: Any,
):
"""Initialize with file path."""
if isinstance(file, collections.abc.Sequence):
validate_unstructured_version(min_unstructured_vers... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
edc842d22291-0 | Source code for langchain.document_loaders.tencent_cos_file
import os
import tempfile
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class Tenc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tencent_cos_file.html |
59488b2757df-0 | Source code for langchain.document_loaders.odt
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredODTLoader(UnstructuredFileLoader):
"""Load `OpenOffice ODT` files using `Unstructured`.
You c... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/odt.html |
59488b2757df-1 | super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from unstructured.partition.odt import partition_odt
return partition_odt(filename=self.file_path, **self.unstructured_kwargs) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/odt.html |
c97e3b4d6fd1-0 | Source code for langchain.document_loaders.obs_directory
# coding:utf-8
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.obs_file import OBSFileLoader
[docs]class OBSDirectoryLoader(BaseLoader):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_directory.html |
c97e3b4d6fd1-1 | Note:
Before using this class, make sure you have registered with OBS and have the necessary credentials. The `ak`, `sk`, and `endpoint` values are mandatory unless `get_token_from_ecs` is True or the bucket policy is public read. `token` is required when using temporary credentials.
Example:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_directory.html |
c97e3b4d6fd1-2 | )
if resp.status < 300:
for content in resp.body.contents:
loader = OBSFileLoader(self.bucket, content.key, client=self.client)
docs.extend(loader.load())
if resp.body.is_truncated is True:
mark = resp.body.next_mark... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_directory.html |
f8a1547a7fe1-0 | Source code for langchain.document_loaders.azlyrics
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class AZLyricsLoader(WebBaseLoader):
"""Load `AZLyrics` webpages."""
[docs] def load(self) -> List[Document]:
""... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azlyrics.html |
9f749f0acb49-0 | Source code for langchain.document_loaders.embaas
import base64
import warnings
from typing import Any, Dict, Iterator, List, Optional
import requests
from typing_extensions import NotRequired, TypedDict
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseBlobParser, BaseLoa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
9f749f0acb49-1 | """The instruction to pass to the Embaas document extraction API."""
[docs]class EmbaasDocumentExtractionPayload(EmbaasDocumentExtractionParameters):
"""Payload for the Embaas document extraction API."""
bytes: str
"""The base64 encoded bytes of the document to extract text from."""
[docs]class BaseEmbaasLo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
9f749f0acb49-2 | loader = EmbaasBlobLoader()
blob = Blob.from_path(path="example.mp3")
documents = loader.parse(blob=blob)
# Custom api parameters (create embeddings automatically)
from langchain.document_loaders.embaas import EmbaasBlobLoader
loader = EmbaasBlobLoader(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
9f749f0acb49-3 | bytes=base64_byte_str,
# Workaround for mypy issue: https://github.com/python/mypy/issues/9408
# type: ignore
**self.params,
)
if blob.mimetype is not None and payload.get("mime_type", None) is None:
payload["mime_type"] = blob.mimetype
return payl... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
9f749f0acb49-4 | )
raise
yield from documents
[docs]class EmbaasLoader(BaseEmbaasLoader, BaseLoader):
"""Load from `Embaas`.
To use, you should have the
environment variable ``EMBAAS_API_KEY`` set with your API key, or pass
it as a named parameter to the constructor.
Example:
.. code-bloc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
9f749f0acb49-5 | )
[docs] def lazy_load(self) -> Iterator[Document]:
"""Load the documents from the file path lazily."""
blob = Blob.from_path(path=self.file_path)
assert self.blob_loader is not None
# Should never be None, but mypy doesn't know that.
yield from self.blob_loader.lazy_parse(blo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
39e1bbf6c95b-0 | Source code for langchain.document_loaders.email
import os
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
[doc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
39e1bbf6c95b-1 | unstructured_kwargs["attachment_partitioner"] = partition
super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from unstructured.file_utils.filetype import FileType, detect_filetype
filetype = detect_filetype(self.file_path)
if file... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
39e1bbf6c95b-2 | import extract_msg
msg = extract_msg.Message(self.file_path)
return [
Document(
page_content=msg.body,
metadata={
"source": self.file_path,
"subject": msg.subject,
"sender": msg.sender,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
e465c08dc2fb-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."""
[docs] def __init__(self, file_path: str):
"""Initialize with a file ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/python.html |
510ae3820fb9-0 | Source code for langchain.document_loaders.xorbits
from typing import Any
from langchain.document_loaders.dataframe import BaseDataFrameLoader
[docs]class XorbitsLoader(BaseDataFrameLoader):
"""Load `Xorbits` DataFrame."""
[docs] def __init__(self, data_frame: Any, page_content_column: str = "text"):
"""... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xorbits.html |
b5467fbd6f23-0 | Source code for langchain.document_loaders.rst
"""Loads RST files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredRSTLoader(UnstructuredFileLoader):
"""Load `RST` files using `Unstructured... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rst.html |
b5467fbd6f23-1 | """
validate_unstructured_version(min_unstructured_version="0.7.5")
super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
def _get_elements(self) -> List:
from unstructured.partition.rst import partition_rst
return partition_rst(filename=self.file_path, **self.unstr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rst.html |
a5ea3eb9d090-0 | Source code for langchain.document_loaders.helpers
"""Document loader helpers."""
import concurrent.futures
from typing import List, NamedTuple, Optional, cast
[docs]class FileEncoding(NamedTuple):
"""File encoding as the NamedTuple."""
encoding: Optional[str]
"""The encoding of the file."""
confidence:... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/helpers.html |
997bfc6cd39a-0 | Source code for langchain.document_loaders.tensorflow_datasets
from typing import Callable, Dict, Iterator, List, Optional
from langchain.document_loaders.base import BaseLoader
from langchain.schema import Document
from langchain.utilities.tensorflow_datasets import TensorflowDatasets
[docs]class TensorflowDatasetLoad... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tensorflow_datasets.html |
997bfc6cd39a-1 | ):
"""Initialize the TensorflowDatasetLoader.
Args:
dataset_name: the name of the dataset to load
split_name: the name of the split to load.
load_max_docs: a limit to the number of loaded documents. Defaults to 100.
sample_to_document_function: a function ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tensorflow_datasets.html |
0638b842279d-0 | Source code for langchain.document_loaders.chatgpt
import datetime
import json
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]def concatenate_rows(message: dict, title: str) -> str:
"""
Combine message information in a readab... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
0638b842279d-1 | title = d["title"]
messages = d["mapping"]
text = "".join(
[
concatenate_rows(messages[key]["message"], title)
for idx, key in enumerate(messages)
if not (
idx == 0
and mes... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
0da85c865898-0 | Source code for langchain.document_loaders.generic
from __future__ import annotations
from pathlib import Path
from typing import Iterator, List, Literal, Optional, Sequence, Union
from langchain.document_loaders.base import BaseBlobParser, BaseLoader
from langchain.document_loaders.blob_loaders import BlobLoader, File... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
0da85c865898-1 | from langchain.document_loaders.parsers.pdf import PyPDFParser
# Recursively load all text files in a directory.
loader = GenericLoader.from_filesystem(
"/path/to/dir",
glob="**/*.pdf",
parser=PyPDFParser()
)
"""
[docs] def __ini... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
0da85c865898-2 | *,
glob: str = "**/[!.]*",
exclude: Sequence[str] = (),
suffixes: Optional[Sequence[str]] = None,
show_progress: bool = False,
parser: Union[DEFAULT, BaseBlobParser] = "default",
) -> GenericLoader:
"""Create a generic document loader using a filesystem blob loader.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
d5062e3ef99f-0 | Source code for langchain.document_loaders.tsv
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredTSVLoader(UnstructuredFileLoader):
"""Load `TSV` files using `Unstructured`.
Like other
U... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tsv.html |
64ee19c8545a-0 | Source code for langchain.document_loaders.figma
import json
import urllib.request
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utils import stringify_dict
[docs]class FigmaFileLoader(BaseLoader):
"""Load `Figma` ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/figma.html |
be385e38e3ea-0 | Source code for langchain.document_loaders.diffbot
import logging
from typing import Any, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class DiffbotLoader(BaseLoader):
"""Load `Diffbot` json fi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
be385e38e3ea-1 | for url in self.urls:
try:
data = self._get_diffbot_data(url)
text = data["objects"][0]["text"] if "objects" in data else ""
metadata = {"source": url}
docs.append(Document(page_content=text, metadata=metadata))
except Exception as ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
9c3804983869-0 | Source code for langchain.document_loaders.arxiv
from typing import Any, 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):
"""Load a query result from `Arxi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/arxiv.html |
47c299ffa2cd-0 | Source code for langchain.document_loaders.ifixit
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://www.ifixit.com/api/2.0"
[do... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47c299ffa2cd-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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47c299ffa2cd-2 | if loader.page_type == "Device":
output += loader.load_device(include_guides=False)
else:
output += loader.load()
except ValueError:
continue
return output
[docs] def load_questions_and_answers(
self, url_override: Op... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47c299ffa2cd-3 | [docs] def load_device(
self, url_override: Optional[str] = None, include_guides: bool = True
) -> List[Document]:
"""Loads a device
Args:
url_override: A URL to override the default URL.
include_guides: Whether to include guides linked to from the device.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47c299ffa2cd-4 | else:
url = url_override
res = requests.get(url)
if res.status_code != 200:
raise ValueError(
"Could not load guide: " + self.web_path + "\n" + res.json()
)
data = res.json()
doc_parts = ["# " + data["title"], data["introduction_raw"]]
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
f8996af6351a-0 | Source code for langchain.document_loaders.slack_directory
import json
import zipfile
from pathlib import Path
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class SlackDirectoryLoader(BaseLoader):
"""Load from a ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
f8996af6351a-1 | if not channel_name:
continue
if channel_path.endswith(".json"):
messages = self._read_json(zip_file, channel_path)
for message in messages:
document = self._convert_message_to_document(
messa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
f8996af6351a-2 | "timestamp": timestamp,
"user": user,
}
def _get_message_source(self, channel_name: str, user: str, timestamp: str) -> str:
"""
Get the message source as a string.
Args:
channel_name (str): The name of the channel the message belongs to.
user (str)... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
df060fdcad19-0 | 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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html |
6536677f97d0-0 | Source code for langchain.document_loaders.gcs_file
import os
import tempfile
from typing import Callable, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class GCSFile... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_file.html |
6536677f97d0-1 | """Load documents."""
try:
from google.cloud import storage
except ImportError:
raise ImportError(
"Could not import google-cloud-storage python package. "
"Please install it with `pip install google-cloud-storage`."
)
# Initial... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_file.html |
b2f1c9e11aa1-0 | Source code for langchain.document_loaders.max_compute
from __future__ import annotations
from typing import Any, Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.max_compute import MaxComputeAPIWrapper
[d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/max_compute.html |
b2f1c9e11aa1-1 | given parameters.
Args:
query: SQL query to execute.
endpoint: MaxCompute endpoint.
project: A project is a basic organizational unit of MaxCompute, which is
similar to a database.
access_id: MaxCompute access ID. Should be passed in directly or se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/max_compute.html |
171bce4a175a-0 | Source code for langchain.document_loaders.base_o365
"""Base class for all loaders that uses O365 Package"""
from __future__ import annotations
import logging
import os
import tempfile
from abc import abstractmethod
from enum import Enum
from pathlib import Path
from typing import TYPE_CHECKING, Dict, Iterable, List, S... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base_o365.html |
171bce4a175a-1 | mime_types_mapping[
file_type.value
] = "application/vnd.openxmlformats-officedocument.wordprocessingml.document" # noqa: E501
elif file_type.value == "pdf":
mime_types_mapping[file_type.value] = "application/pdf"
return mime_types_mapping
[docs]class O365BaseLoader(... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base_o365.html |
171bce4a175a-2 | file_mime_types = self._fetch_mime_types
items = folder.get_items()
with tempfile.TemporaryDirectory() as temp_dir:
os.makedirs(os.path.dirname(temp_dir), exist_ok=True)
for file in items:
if file.is_file:
if file.mime_type in list(file_mime_ty... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base_o365.html |
171bce4a175a-3 | if file.is_file:
if file.mime_type in list(file_mime_types.values()):
file.download(to_path=temp_dir, chunk_size=self.chunk_size)
loader = FileSystemBlobLoader(path=temp_dir)
yield from loader.yield_blobs()
def _auth(self) -> Account:
"""Au... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base_o365.html |
150f6c9a8b46-0 | Source code for langchain.document_loaders.html_bs
import logging
from typing import Dict, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class BSHTMLLoader(BaseLoader):
"""Load `HTML` files and parse the... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
150f6c9a8b46-1 | with open(self.file_path, "r", encoding=self.open_encoding) as f:
soup = BeautifulSoup(f, **self.bs_kwargs)
text = soup.get_text(self.get_text_separator)
if soup.title:
title = str(soup.title.string)
else:
title = ""
metadata: Dict[str, Union[str, None... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
d424aef2b220-0 | Source code for langchain.document_loaders.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):
"""Load `GitBook` data.
1.... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
d424aef2b220-1 | self.base_url = self.base_url[:-1]
if load_all_paths:
# set web_path to the sitemap if we want to crawl all paths
web_page = f"{self.base_url}/sitemap.xml"
super().__init__(web_paths=(web_page,), continue_on_failure=continue_on_failure)
self.load_all_paths = load_all_path... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
d424aef2b220-2 | return Document(page_content=content, metadata=metadata)
def _get_paths(self, soup: Any) -> List[str]:
"""Fetch all relative paths in the navbar."""
return [urlparse(loc.text).path for loc in soup.find_all("loc")] | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html |
4a8c592c1672-0 | Source code for langchain.document_loaders.rocksetdb
from typing import Any, Callable, Iterator, List, Optional, Tuple
from langchain.document_loaders.base import BaseLoader
from langchain.schema import Document
[docs]def default_joiner(docs: List[Tuple[str, Any]]) -> str:
"""Default joiner for content columns."""
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rocksetdb.html |
4a8c592c1672-1 | ):
"""Initialize with Rockset client.
Args:
client: Rockset client object.
query: Rockset query object.
content_keys: The collection columns to be written into the `page_content`
of the Documents.
metadata_keys: The collection columns to be... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rocksetdb.html |
4a8c592c1672-2 | self.paginator = QueryPaginator
self.request_model = QueryRequestSql
try:
self.client.set_application("langchain")
except AttributeError:
# ignore
pass
[docs] def load(self) -> List[Document]:
return list(self.lazy_load())
[docs] def lazy_load(se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rocksetdb.html |
f20df3de4462-0 | Source code for langchain.document_loaders.open_city_data
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class OpenCityDataLoader(BaseLoader):
"""Load from `Open City`."""
[docs] def __init__(self, city_id: str, data... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/open_city_data.html |
07277cb1199c-0 | Source code for langchain.document_loaders.rtf
"""Loads rich text files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
[docs]class UnstructuredRTFLoader(UnstructuredFileLoader):
"""Load `RTF` files using `U... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
07277cb1199c-1 | if not satisfies_min_unstructured_version(min_unstructured_version):
raise ValueError(
"Partitioning rtf files is only supported in "
f"unstructured>={min_unstructured_version}."
)
super().__init__(file_path=file_path, mode=mode, **unstructured_kwargs)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
91e9b3d187f1-0 | Source code for langchain.document_loaders.reddit
from __future__ import annotations
from typing import TYPE_CHECKING, Iterable, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import praw
def _dependable_praw_import(... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
91e9b3d187f1-1 | self.user_agent = user_agent
self.search_queries = search_queries
self.mode = mode
self.categories = categories
self.number_posts = number_posts
[docs] def load(self) -> List[Document]:
"""Load reddits."""
praw = _dependable_praw_import()
reddit = praw.Reddit(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
91e9b3d187f1-2 | "post_category": category,
"post_title": post.title,
"post_score": post.score,
"post_id": post.id,
"post_url": post.url,
"post_author": post.author,
}
yield Document(
page_content=post.selftext,
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
46ec8b1141d3-0 | Source code for langchain.document_loaders.polars_dataframe
from typing import Any, Iterator
from langchain.docstore.document import Document
from langchain.document_loaders.dataframe import BaseDataFrameLoader
[docs]class PolarsDataFrameLoader(BaseDataFrameLoader):
"""Load `Polars` DataFrame."""
[docs] def __in... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/polars_dataframe.html |
50fda22da706-0 | Source code for langchain.document_loaders.snowflake_loader
from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class SnowflakeLoader(BaseLoader):
"""Load from `... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/snowflake_loader.html |
50fda22da706-1 | self.query = query
self.user = user
self.password = password
self.account = account
self.warehouse = warehouse
self.role = role
self.database = database
self.schema = schema
self.parameters = parameters
self.page_content_columns = (
pag... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/snowflake_loader.html |
50fda22da706-2 | ) -> Tuple[List[str], List[str]]:
page_content_columns = (
self.page_content_columns if self.page_content_columns else []
)
metadata_columns = self.metadata_columns if self.metadata_columns else []
if page_content_columns is None and query_result:
page_content_col... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/snowflake_loader.html |
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