id stringlengths 14 16 | text stringlengths 13 2.7k | source stringlengths 57 178 |
|---|---|---|
5b99bf7d9362-0 | 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"):
"""... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xorbits.html |
60cc8f355c1b-0 | Source code for langchain.document_loaders.excel
"""Loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredExcelLoader(UnstructuredFileLoader):
"""Load Microsoft Excel... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/excel.html |
60cc8f355c1b-1 | from unstructured.partition.xlsx import partition_xlsx
return partition_xlsx(filename=self.file_path, **self.unstructured_kwargs) | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/excel.html |
a111f5ccca3a-0 | Source code for langchain.document_loaders.mediawikidump
import logging
from pathlib import Path
from typing import List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class MWDumpLoader(BaseLo... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
a111f5ccca3a-1 | """
[docs] def __init__(
self,
file_path: Union[str, Path],
encoding: Optional[str] = "utf8",
namespaces: Optional[Sequence[int]] = None,
skip_redirects: Optional[bool] = False,
stop_on_error: Optional[bool] = True,
):
self.file_path = file_path if isinstan... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
a111f5ccca3a-2 | except Exception as e:
logger.error("Parsing error: {}".format(e))
if self.stop_on_error:
raise e
else:
continue
return docs | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
875c81a2d4da-0 | Source code for langchain.document_loaders.roam
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class RoamLoader(BaseLoader):
"""Load `Roam` files from a directory."""
[docs] def __init__(self, path: st... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/roam.html |
544702164f73-0 | Source code for langchain.document_loaders.rspace
import os
from typing import Any, Dict, Iterator, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders import PyPDFLoader
from langchain.document_loaders.base import BaseLoader
from langchain.utils import get_from_dict_o... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rspace.html |
544702164f73-1 | self.api_key = verified_args["api_key"]
self.url = verified_args["url"]
self.global_id: str = verified_args["global_id"]
[docs] @classmethod
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that API key and URL exists in environment."""
values["api_key"] = get_from... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rspace.html |
544702164f73-2 | fc = field_content(f["content"])
content += fc.get_text()
content += "\n"
return Document(
metadata={"source": f"rspace: {doc['name']}-{doc['globalId']}"},
page_content=content,
)
def _load_structured_doc(self) -> Iterator[Document]:
cli, field... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rspace.html |
544702164f73-3 | for d in self._load_pdf():
yield d
elif self.global_id and "SD" in self.global_id:
for d in self._load_structured_doc():
yield d
elif self.global_id and self.global_id[0:2] in ["FL", "NB"]:
for d in self._load_folder_tree():
yield d... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rspace.html |
fe6430ba3618-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
fe6430ba3618-1 | 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)
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html |
7ca74d3f2449-0 | Source code for langchain.document_loaders.psychic
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class PsychicLoader(BaseLoader):
"""Load from `Psychic.dev`."""
[docs] def __init__(
self, api_key: str, accou... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/psychic.html |
94be6c25dcdc-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
94be6c25dcdc-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
94be6c25dcdc-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(
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
94be6c25dcdc-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
94be6c25dcdc-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
94be6c25dcdc-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
6a68d22f5289-0 | Source code for langchain.document_loaders.browserless
from typing import Iterator, List, Union
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BrowserlessLoader(BaseLoader):
"""Load webpages with `Browserless` /content endpoint."""... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/browserless.html |
6a68d22f5289-1 | metadata={
"source": url,
},
)
[docs] def load(self) -> List[Document]:
"""Load Documents from URLs."""
return list(self.lazy_load()) | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/browserless.html |
c98377ce1469-0 | Source code for langchain.document_loaders.whatsapp_chat
import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]def concatenate_rows(date: str, sender: str, text: str) -> str:
"""Combine message informa... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/whatsapp_chat.html |
c98377ce1469-1 | )
if result:
date, sender, text = result.groups()
if text not in ignore_lines:
text_content += concatenate_rows(date, sender, text)
metadata = {"source": str(p)}
return [Document(page_content=text_content, metadata=metadata)] | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/whatsapp_chat.html |
fcdf66b17e20-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/polars_dataframe.html |
9e097fa7bb08-0 | Source code for langchain.document_loaders.s3_directory
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.s3_file import S3FileLoader
if TYPE_C... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
9e097fa7bb08-1 | :param use_ssl: Whether to use SSL. By default, SSL is used.
Note that not all services support non-ssl connections.
:param verify: Whether to verify SSL certificates.
By default SSL certificates are verified. You can provide the
following values:
* False - do n... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
9e097fa7bb08-2 | :param boto_config: Advanced boto3 client configuration options. If a value
is specified in the client config, its value will take precedence
over environment variables and configuration values, but not over
a value passed explicitly to the method. If a default config
obj... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
9e097fa7bb08-3 | loader = S3FileLoader(
self.bucket,
obj.key,
region_name=self.region_name,
api_version=self.api_version,
use_ssl=self.use_ssl,
verify=self.verify,
endpoint_url=self.endpoint_url,
aws_access_ke... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
3965a52164db-0 | Source code for langchain.document_loaders.pdf
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, Dict, Iterator, List, Mapping, Optional, Sequence, Union
from urllib.parse import urlparse
import requests
from lan... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-1 | """
def _get_elements(self) -> List:
from unstructured.partition.pdf import partition_pdf
return partition_pdf(filename=self.file_path, **self.unstructured_kwargs)
[docs]class BasePDFLoader(BaseLoader, ABC):
"""Base Loader class for `PDF` files.
If the file is a web path, it will download it... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-2 | % r.status_code
)
with open(temp_pdf, mode="wb") as f:
f.write(r.content)
self.file_path = str(temp_pdf)
elif not os.path.isfile(self.file_path):
raise ValueError("File path %s is not a valid file or url" % self.file_path)
d... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-3 | headers: Optional[Dict] = None,
extract_images: bool = False,
) -> None:
"""Initialize with a file path."""
try:
import pypdf # noqa:F401
except ImportError:
raise ImportError(
"pypdf package not found, please install it with " "`pip install p... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-4 | [docs] def lazy_load(
self,
) -> Iterator[Document]:
"""Lazy load given path as pages."""
blob = Blob.from_path(self.file_path)
yield from self.parser.parse(blob)
[docs]class PyPDFDirectoryLoader(BaseLoader):
"""Load a directory with `PDF` files using `pypdf` and chunks at cha... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-5 | if self.silent_errors:
logger.warning(e)
else:
raise e
return docs
[docs]class PDFMinerLoader(BasePDFLoader):
"""Load `PDF` files using `PDFMiner`."""
[docs] def __init__(
self,
file_path: str,
*,
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-6 | """Load `PDF` files as HTML content using `PDFMiner`."""
[docs] def __init__(self, file_path: str, *, headers: Optional[Dict] = None):
"""Initialize with a file path."""
try:
from pdfminer.high_level import extract_text_to_fp # noqa:F401
except ImportError:
raise Impo... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-7 | import fitz # noqa:F401
except ImportError:
raise ImportError(
"`PyMuPDF` package not found, please install it with "
"`pip install pymupdf`"
)
super().__init__(file_path, headers=headers)
self.extract_images = extract_images
self.... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-8 | max_wait_time_seconds: a maximum time to wait for the response from
the server. Default is 500.
should_clean_pdf: a flag to clean the PDF file. Default is False.
**kwargs: additional keyword arguments.
"""
self.mathpix_api_key = get_from_dict_or_env(
kwar... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-9 | else:
raise ValueError("Unable to send PDF to Mathpix.")
[docs] def wait_for_processing(self, pdf_id: str) -> None:
"""Wait for processing to complete.
Args:
pdf_id: a PDF id.
Returns: None
"""
url = self.url + "/" + pdf_id
for _ in range(0, sel... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-10 | contents = (
contents.replace(r"\$", "$")
.replace(r"\%", "%")
.replace(r"\(", "(")
.replace(r"\)", ")")
)
return contents
[docs] def load(self) -> List[Document]:
pdf_id = self.send_pdf()
contents = self.get_processed_pdf(pdf_id)
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-11 | )
blob = Blob.from_path(self.file_path)
return parser.parse(blob)
[docs]class AmazonTextractPDFLoader(BasePDFLoader):
"""Load `PDF` files from a local file system, HTTP or S3.
To authenticate, the AWS client uses the following methods to
automatically load credentials:
https://boto3.amaz... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-12 | client: boto3 textract client (Optional)
credentials_profile_name: AWS profile name, if not default (Optional)
region_name: AWS region, eg us-east-1 (Optional)
endpoint_url: endpoint url for the textract service (Optional)
"""
super().__init__(file_path, headers=heade... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-13 | "profile name are valid."
) from e
self.parser = AmazonTextractPDFParser(textract_features=features, client=client)
[docs] def load(self) -> List[Document]:
"""Load given path as pages."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[D... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-14 | return len(pdf_reader.pages)
elif blob.mimetype == "image/tiff":
num_pages = 0
img = Image.open(blob.as_bytes())
for _, _ in enumerate(ImageSequence.Iterator(img)):
num_pages += 1
return num_pages
elif blob.mimetype in ["image/png", "image/... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
3965a52164db-15 | super().__init__(file_path, headers=headers)
[docs] def load(self) -> List[Document]:
"""Load given path as pages."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""Lazy load given path as pages."""
blob = Blob.from_path(self.file_... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
da288d02fe82-0 | Source code for langchain.document_loaders.pyspark_dataframe
import itertools
import logging
import sys
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__file__)
if T... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pyspark_dataframe.html |
da288d02fe82-1 | self.fraction_of_memory = fraction_of_memory
self.num_rows, self.max_num_rows = self.get_num_rows()
self.rdd_df = self.df.rdd.map(list)
self.column_names = self.df.columns
[docs] def get_num_rows(self) -> Tuple[int, int]:
"""Gets the number of "feasible" rows for the DataFrame"""
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pyspark_dataframe.html |
da288d02fe82-2 | )
lazy_load_iterator = self.lazy_load()
return list(itertools.islice(lazy_load_iterator, self.num_rows)) | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pyspark_dataframe.html |
2da9269efb14-0 | Source code for langchain.document_loaders.twitter
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import tweepy
fro... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
2da9269efb14-1 | user = api.get_user(screen_name=username)
docs = self._format_tweets(tweets, user)
results.extend(docs)
return results
def _format_tweets(
self, tweets: List[Dict[str, Any]], user_info: dict
) -> Iterable[Document]:
"""Format tweets into a string."""
for t... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
2da9269efb14-2 | access_token=access_token,
access_token_secret=access_token_secret,
consumer_key=consumer_key,
consumer_secret=consumer_secret,
)
return cls(
auth_handler=auth,
twitter_users=twitter_users,
number_tweets=number_tweets,
) | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
637e1dcce1f0-0 | Source code for langchain.document_loaders.stripe
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
STRIPE_ENDPOINTS = {
"balance_transac... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
637e1dcce1f0-1 | return [Document(page_content=text, metadata=metadata)]
def _get_resource(self) -> List[Document]:
endpoint = STRIPE_ENDPOINTS.get(self.resource)
if endpoint is None:
return []
return self._make_request(endpoint)
[docs] def load(self) -> List[Document]:
return self._ge... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html |
6456ba9ec622-0 | Source code for langchain.document_loaders.nuclia
import json
import uuid
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.tools.nuclia.tool import NucliaUnderstandingAPI
[docs]class NucliaLoader(BaseLoader):
"""Load from ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/nuclia.html |
2bdf10e02ce0-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/max_compute.html |
2bdf10e02ce0-1 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/max_compute.html |
ac53874c34c4-0 | 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 ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/python.html |
d6215130611a-0 | Source code for langchain.document_loaders.dropbox
# Prerequisites:
# 1. Create a Dropbox app.
# 2. Give the app these scope permissions: `files.metadata.read`
# and `files.content.read`.
# 3. Generate access token: https://www.dropbox.com/developers/apps/create.
# 4. `pip install dropbox` (requires `pip install uns... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
d6215130611a-1 | if values.get("dropbox_folder_path") is None and not values.get(
"dropbox_file_paths"
):
raise ValueError("Must specify either folder_path or file_paths")
return values
def _create_dropbox_client(self) -> Any:
"""Create a Dropbox client."""
try:
fr... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
d6215130611a-2 | def _load_file_from_path(self, file_path: str) -> Optional[Document]:
"""Load a file from a Dropbox path."""
dbx = self._create_dropbox_client()
try:
from dropbox import exceptions
except ImportError:
raise ImportError("You must run " "`pip install dropbox")
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
d6215130611a-3 | return None
return None
metadata = {
"source": f"dropbox://{file_path}",
"title": os.path.basename(file_path),
}
return Document(page_content=text, metadata=metadata)
def _load_documents_from_paths(self) -> List[Document]:
"""Load documents from a ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dropbox.html |
02c5dd8a026e-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
02c5dd8a026e-1 | f"&fields=id,parent_id,title,body,created_time,updated_time&page={{page}}"
)
self._get_folder_url = (
f"{base_url}/folders/{{id}}?token={access_token}&fields=title"
)
self._get_tag_url = (
f"{base_url}/notes/{{id}}/tags?token={access_token}&fields=title"
)... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
02c5dd8a026e-2 | req_tag = urllib.request.Request(self._get_tag_url.format(id=note_id))
with urllib.request.urlopen(req_tag) as response:
json_data = json.loads(response.read().decode())
return [tag["title"] for tag in json_data["items"]]
def _convert_date(self, date: int) -> str:
return date... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
e03e40406d87-0 | Source code for langchain.document_loaders.airtable
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class AirtableLoader(BaseLoader):
"""Load the `Airtable` tables."""
[docs] def __init__(self, api_token: str, table_i... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airtable.html |
a3c79c97b748-0 | Source code for langchain.document_loaders.google_speech_to_text
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.vertexai import get_client_info
if TYPE_CH... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/google_speech_to_text.html |
a3c79c97b748-1 | config: Recognition options and features.
For more information:
https://cloud.google.com/python/docs/reference/speech/latest/google.cloud.speech_v2.types.RecognitionConfig
config_mask: The list of fields in config that override the values in the
``default_reco... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/google_speech_to_text.html |
a3c79c97b748-2 | if location != "global"
else None
),
)
self._recognizer_path = self._client.recognizer_path(
project_id, location, recognizer_id
)
[docs] def load(self) -> List[Document]:
"""Transcribes the audio file and loads the transcript into documents.
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/google_speech_to_text.html |
b45ecb0cdbde-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tencent_cos_file.html |
bf77dc9ab072-0 | Source code for langchain.document_loaders.org_mode
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredOrgModeLoader(UnstructuredFileLoader):
"""Load `Org-Mode` files using `Unstructured`.
Yo... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/org_mode.html |
bf77dc9ab072-1 | from unstructured.partition.org import partition_org
return partition_org(filename=self.file_path, **self.unstructured_kwargs) | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/org_mode.html |
b81924e0cc2d-0 | Source code for langchain.document_loaders.directory
import concurrent
import logging
import random
from pathlib import Path
from typing import Any, List, Optional, Type, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.html_bs... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
b81924e0cc2d-1 | glob: Glob pattern to use to find files. Defaults to "**/[!.]*"
(all files except hidden).
silent_errors: Whether to silently ignore errors. Defaults to False.
load_hidden: Whether to load hidden files. Defaults to False.
loader_cls: Loader class to use for loading fil... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
b81924e0cc2d-2 | ) -> None:
"""Load a file.
Args:
item: File path.
path: Directory path.
docs: List of documents to append to.
pbar: Progress bar. Defaults to None.
"""
if item.is_file():
if _is_visible(item.relative_to(path)) or self.load_hidde... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
b81924e0cc2d-3 | except ImportError as e:
logger.warning(
"To log the progress of DirectoryLoader you need to install tqdm, "
"`pip install tqdm`"
)
if self.silent_errors:
logger.warning(e)
else:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
4cb0ccb0feaf-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
4cb0ccb0feaf-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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
4cb0ccb0feaf-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.
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/generic.html |
7a6f9d8f2d09-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/toml.html |
e128cbc44a29-0 | Source code for langchain.document_loaders.conllu
import csv
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class CoNLLULoader(BaseLoader):
"""Load `CoNLL-U` files."""
[docs] def __init__(self, file_path: str):
"""Init... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/conllu.html |
9d22a13f7966-0 | Source code for langchain.document_loaders.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 langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from la... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-1 | """The minimum chunk size to use when parsing DGML. Defaults to 32."""
@root_validator
def validate_local_or_remote(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate that either local file paths are given, or remote API docset ID.
Args:
values: The values to validate.
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-2 | if len(doppelgangers) > 1:
idx_of_self = doppelgangers.index(chunk)
qname = f"{qname}[{idx_of_self + 1}]"
return qname
def _xpath_for_chunk(chunk: Any) -> str:
"""Get the xpath for a chunk."""
ancestor_chain = chunk.xpath("ancestor-or-s... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-3 | """Get the leaf structural nodes of a node."""
if _is_structural(node) and not _has_structural_descendant(node):
return [node]
else:
leaf_nodes = []
for child in node:
leaf_nodes.extend(_leaf_structural_nodes(child))
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-4 | if prev_small_chunk_text and len(chunks) > 0:
# small chunk at the end left over, just append to last chunk
chunks[-1].page_content += " " + prev_small_chunk_text
return chunks
def _document_details_for_docset_id(self, docset_id: str) -> List[Dict]:
"""Gets all document detai... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-5 | )
return all_projects
def _metadata_for_project(self, project: Dict) -> Dict:
"""Gets project metadata for all files"""
project_id = project.get("id")
url = f"{self.api}/projects/{project_id}/artifacts/latest"
all_artifacts = []
while url:
response = reque... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-6 | artifact_root = artifact_tree.getroot()
ns = artifact_root.nsmap
entries = artifact_root.xpath("//pr:Entry", namespaces=ns)
for entry in entries:
heading = entry.xpath("./pr:Heading", namespaces=ns)[0].text
value... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
9d22a13f7966-7 | if self.document_ids:
_document_details = [
d for d in _document_details if d["id"] in self.document_ids
]
_project_details = self._project_details_for_docset_id(self.docset_id)
combined_project_metadata = {}
if _project_details:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
47715f793c74-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47715f793c74-1 | """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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47715f793c74-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47715f793c74-3 | [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.
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
47715f793c74-4 | 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"]]
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
e1201b419b66-0 | Source code for langchain.document_loaders.baiducloud_bos_directory
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BaiduBOSDirectoryLoader(BaseLoader):
"""Load from `Baidu BOS directory`."""
[docs] def __i... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/baiducloud_bos_directory.html |
e1201b419b66-1 | for content in contents:
if str(content.key).endswith("/"):
continue
loader = BaiduBOSFileLoader(self.conf, self.bucket, str(content.key))
yield loader.load()[0] | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/baiducloud_bos_directory.html |
4798a8d5b7ab-0 | Source code for langchain.document_loaders.obs_file
# coding:utf-8
import os
import tempfile
from typing import Any, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]cla... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_file.html |
4798a8d5b7ab-1 | - "get_token_from_ecs" (bool, optional): Whether to retrieve the security token from ECS. Defaults to False if not provided. If set to True, `ak`, `sk`, and `token` will be ignored.
Raises:
ValueError: If the `esdk-obs-python` package is not installed.
TypeError: If the provided `client`... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_file.html |
4798a8d5b7ab-2 | from obs import ObsClient
except ImportError:
raise ImportError(
"Could not import esdk-obs-python python package. "
"Please install it with `pip install esdk-obs-python`."
)
if not client:
if not endpoint:
raise ValueEr... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obs_file.html |
455b0ef44b45-0 | Source code for langchain.document_loaders.googledrive
# 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:
# https://developers.google.com/drive/api/quickstart/... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-1 | """Whether to load recursively. Only applies when folder_id is given."""
file_types: Optional[Sequence[str]] = None
"""The file types to load. Only applies when folder_id is given."""
load_trashed_files: bool = False
"""Whether to load trashed files. Only applies when folder_id is given."""
# NOTE(M... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
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