id stringlengths 14 16 | text stringlengths 13 2.7k | source stringlengths 57 178 |
|---|---|---|
455b0ef44b45-2 | type_mapping = {
"document": "application/vnd.google-apps.document",
"sheet": "application/vnd.google-apps.spreadsheet",
"pdf": "application/pdf",
}
allowed_types = list(type_mapping.keys()) + list(type_mapping.values())
short_names = "... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-3 | from google_auth_oauthlib.flow import InstalledAppFlow
except ImportError:
raise ImportError(
"You must run "
"`pip install --upgrade "
"google-api-python-client google-auth-httplib2 "
"google-auth-oauthlib` "
"to use th... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-4 | sheets = spreadsheet.get("sheets", [])
documents = []
for sheet in sheets:
sheet_name = sheet["properties"]["title"]
result = (
sheets_service.spreadsheets()
.values()
.get(spreadsheetId=id, range=sheet_name)
.execut... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-5 | .execute()
)
request = service.files().export_media(fileId=id, mimeType="text/plain")
fh = BytesIO()
downloader = MediaIoBaseDownload(fh, request)
done = False
try:
while done is False:
status, done = downloader.next_chunk()
except Http... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-6 | continue
elif file["mimeType"] == "application/vnd.google-apps.document":
returns.append(self._load_document_from_id(file["id"])) # type: ignore
elif file["mimeType"] == "application/vnd.google-apps.spreadsheet":
returns.extend(self._load_sheet_from_id(file["id"]... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-7 | if not self.document_ids:
raise ValueError("document_ids must be set")
return [self._load_document_from_id(doc_id) for doc_id in self.document_ids]
def _load_file_from_id(self, id: str) -> List[Document]:
"""Load a file from an ID."""
from io import BytesIO
from googleapi... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
455b0ef44b45-8 | ]
def _load_file_from_ids(self) -> List[Document]:
"""Load files from a list of IDs."""
if not self.file_ids:
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
[do... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/googledrive.html |
0086821ef45d-0 | Source code for langchain.document_loaders.github
from abc import ABC
from datetime import datetime
from typing import Dict, Iterator, List, Literal, Optional, Union
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.pydantic_v1 import ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
0086821ef45d-1 | If the string 'none' is passed, issues without milestones are returned.
"""
state: Optional[Literal["open", "closed", "all"]] = None
"""Filter on issue state. Can be one of: 'open', 'closed', 'all'."""
assignee: Optional[str] = None
"""Filter on assigned user. Pass 'none' for no user and '*' for any... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
0086821ef45d-2 | )
return v
[docs] def lazy_load(self) -> Iterator[Document]:
"""
Get issues of a GitHub repository.
Returns:
A list of Documents with attributes:
- page_content
- metadata
- url
- title
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
0086821ef45d-3 | """Create Document objects from a list of GitHub issues."""
metadata = {
"url": issue["html_url"],
"title": issue["title"],
"creator": issue["user"]["login"],
"created_at": issue["created_at"],
"comments": issue["comments"],
"state": issue[... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
0086821ef45d-4 | return query_params
@property
def url(self) -> str:
"""Create URL for GitHub API."""
return f"{self.github_api_url}/repos/{self.repo}/issues?{self.query_params}" | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html |
ff9ca25d2613-0 | Source code for langchain.document_loaders.assemblyai
from __future__ import annotations
from enum import Enum
from typing import TYPE_CHECKING, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import assemblyai
[docs]class Tran... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/assemblyai.html |
ff9ca25d2613-1 | config: Optional[assemblyai.TranscriptionConfig] = None,
api_key: Optional[str] = None,
):
"""
Initializes the AssemblyAI AudioTranscriptLoader.
Args:
file_path: An URL or a local file path.
transcript_format: Transcript format to use.
See clas... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/assemblyai.html |
ff9ca25d2613-2 | sentences = transcript.get_sentences()
return [
Document(page_content=s.text, metadata=s.dict(exclude={"text"}))
for s in sentences
]
elif self.transcript_format == TranscriptFormat.PARAGRAPHS:
paragraphs = transcript.get_paragraphs()
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/assemblyai.html |
6b27bf551f8b-0 | Source code for langchain.document_loaders.base
"""Abstract interface for document loader implementations."""
from abc import ABC, abstractmethod
from typing import Iterator, List, Optional
from langchain.document_loaders.blob_loaders import Blob
from langchain.schema import Document
from langchain.text_splitter import... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base.html |
6b27bf551f8b-1 | # implemented in all the existing subclasses.
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""A lazy loader for Documents."""
raise NotImplementedError(
f"{self.__class__.__name__} does not implement lazy_load()"
)
[docs]class BaseBlobParser(ABC):
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/base.html |
cdccc543a28e-0 | Source code for langchain.document_loaders.hugging_face_dataset
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(BaseLoader):
"""Load from `Hugging Face H... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html |
cdccc543a28e-1 | save_infos: Save the dataset information (checksums/size/splits/...).
Default is False.
use_auth_token: Bearer token for remote files on the Dataset Hub.
num_proc: Number of processes.
"""
self.path = path
self.page_content_column = page_content_column
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html |
85eaef417236-0 | Source code for langchain.document_loaders.image
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredImageLoader(UnstructuredFileLoader):
"""Load `PNG` and `JPG` files using `Unstructured`.
You can run the loader in one of two modes: "single... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image.html |
89de310c4832-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-1 | **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`"
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-2 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-3 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-4 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-5 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-6 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-7 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
89de310c4832-8 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
ef452e6266a6-0 | Source code for langchain.document_loaders.bigquery
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_CHECKING:
f... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html |
ef452e6266a6-1 | """
self.query = query
self.project = project
self.page_content_columns = page_content_columns
self.metadata_columns = metadata_columns
self.credentials = credentials
[docs] def load(self) -> List[Document]:
try:
from google.cloud import bigquery
ex... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html |
487285237498-0 | Source code for langchain.document_loaders.csv_loader
import csv
from io import TextIOWrapper
from typing import Any, Dict, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.helpers import detect_file_encoding... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
487285237498-1 | source_column: The name of the column in the CSV file to use as the source.
Optional. Defaults to None.
metadata_columns: A sequence of column names to use as metadata. Optional.
csv_args: A dictionary of arguments to pass to the csv.DictReader.
Optional. Defaults to ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
487285237498-2 | docs = []
csv_reader = csv.DictReader(csvfile, **self.csv_args) # type: ignore
for i, row in enumerate(csv_reader):
try:
source = (
row[self.source_column]
if self.source_column is not None
else self.file_path
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
487285237498-3 | loader = UnstructuredCSVLoader("stanley-cups.csv", mode="elements")
docs = loader.load()
"""
[docs] def __init__(
self, file_path: str, mode: str = "single", **unstructured_kwargs: Any
):
"""
Args:
file_path: The path to the CSV file.
mode: The mode to use ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html |
3742c416aa05-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
d29522d9d129-0 | Source code for langchain.document_loaders.facebook_chat
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
[docs]def concatenate_rows(row: dict) -> str:
"""Combine message information i... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html |
cab7f6bb711f-0 | Source code for langchain.document_loaders.url_playwright
"""Loader that uses Playwright to load a page, then uses unstructured to load the html.
"""
import logging
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, List, Optional
from langchain.docstore.document import Document
from langchain.docume... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
cab7f6bb711f-1 | text: The text content of the page.
"""
pass
[docs]class UnstructuredHtmlEvaluator(PlaywrightEvaluator):
"""Evaluates the page HTML content using the `unstructured` library."""
[docs] def __init__(self, remove_selectors: Optional[List[str]] = None):
"""Initialize UnstructuredHtmlEvaluator... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
cab7f6bb711f-2 | page_source = await page.content()
elements = partition_html(text=page_source)
return "\n\n".join([str(el) for el in elements])
[docs]class PlaywrightURLLoader(BaseLoader):
"""Load `HTML` pages with `Playwright` and parse with `Unstructured`.
This is useful for loading pages that require javascr... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
cab7f6bb711f-3 | """Load the specified URLs using Playwright and create Document instances.
Returns:
List[Document]: A list of Document instances with loaded content.
"""
from playwright.sync_api import sync_playwright
docs: List[Document] = list()
with sync_playwright() as p:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
cab7f6bb711f-4 | raise ValueError(f"page.goto() returned None for url {url}")
text = await self.evaluator.evaluate_async(page, browser, response)
metadata = {"source": url}
docs.append(Document(page_content=text, metadata=metadata))
except Exception as e:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
a3ca78310b64-0 | Source code for langchain.document_loaders.datadog_logs
from datetime import datetime, timedelta
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DatadogLogsLoader(BaseLoader):
"""Load `Datadog` logs.
Logs are w... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/datadog_logs.html |
a3ca78310b64-1 | raise ImportError(
"Could not import datadog_api_client python package. "
"Please install it with `pip install datadog_api_client`."
) from ex
self.query = query
configuration = Configuration()
configuration.api_key["apiKeyAuth"] = api_key
conf... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/datadog_logs.html |
a3ca78310b64-2 | from datadog_api_client.v2.api.logs_api import LogsApi
from datadog_api_client.v2.model.logs_list_request import LogsListRequest
from datadog_api_client.v2.model.logs_list_request_page import (
LogsListRequestPage,
)
from datadog_api_client.v2.model.logs_q... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/datadog_logs.html |
91465de86299-0 | 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:/... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
91465de86299-1 | 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() | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/iugu.html |
fae139dea570-0 | 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... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mongodb.html |
fae139dea570-1 | """
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):
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mongodb.html |
bc3330ab035e-0 | Source code for langchain.document_loaders.obsidian
import logging
import re
from pathlib import Path
from typing import List
import yaml
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class ObsidianLoader(BaseLoader):
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
bc3330ab035e-1 | match = self.FRONT_MATTER_REGEX.search(content)
if not match:
return {}
try:
front_matter = yaml.safe_load(match.group(1))
# If tags are a string, split them into a list
if "tags" in front_matter and isinstance(front_matter["tags"], str):
f... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
bc3330ab035e-2 | for match in self.DATAVIEW_INLINE_PAREN_REGEX.findall(content)
},
**{
match[0]: match[1]
for match in self.DATAVIEW_INLINE_BRACKET_REGEX.findall(content)
},
}
def _remove_front_matter(self, content: str) -> str:
"""Remove front matt... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html |
7f601a5fb302-0 | Source code for langchain.document_loaders.confluence
import logging
from enum import Enum
from io import BytesIO
from typing import Any, Callable, Dict, List, Optional, Union
import requests
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
from langchain.docstore.... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-1 | Confluence API supports difference format of page content. The storage format is the
raw XML representation for storage. The view format is the HTML representation for
viewing with macros are rendered as though it is viewed by users. You can pass
a enum `content_format` argument to `load()` to specify the c... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-2 | :param oauth2: _description_, defaults to {}
:type oauth2: dict, optional
:param token: _description_, defaults to None
:type token: str, optional
:param cloud: _description_, defaults to True
:type cloud: bool, optional
:param number_of_retries: How many times to retry, defaults to 3
:type ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-3 | oauth2=oauth2,
token=token,
)
if errors:
raise ValueError(f"Error(s) while validating input: {errors}")
try:
from atlassian import Confluence # noqa: F401
except ImportError:
raise ImportError(
"`atlassian` package not foun... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-4 | if url is None:
errors.append("Must provide `base_url`")
if (api_key and not username) or (username and not api_key):
errors.append(
"If one of `api_key` or `username` is provided, "
"the other must be as well."
)
non_null_creds = list(... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-5 | include_archived_content: bool = False,
include_attachments: bool = False,
include_comments: bool = False,
content_format: ContentFormat = ContentFormat.STORAGE,
limit: Optional[int] = 50,
max_pages: Optional[int] = 1000,
ocr_languages: Optional[str] = None,
keep_... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-6 | :type content_format: ContentFormat
:param limit: Maximum number of pages to retrieve per request, defaults to 50
:type limit: int, optional
:param max_pages: Maximum number of pages to retrieve in total, defaults 1000
:type max_pages: int, optional
:param ocr_languages: The lang... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-7 | include_comments,
content_format,
ocr_languages=ocr_languages,
keep_markdown_format=keep_markdown_format,
keep_newlines=keep_newlines,
)
if label:
pages = self.paginate_request(
self.confluence.get_all_pages_... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-8 | )(self.confluence.get_page_by_id)
page = get_page(
page_id=page_id, expand=f"{content_format.value},version"
)
if not include_restricted_content and not self.is_public_page(page):
continue
doc = self.process_page(
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-9 | of pages with each request. We have to manually check if there
are more docs based on the length of the returned list of pages, rather than
just checking for the presence of a `next` key in the response like this page
would have you do:
https://developer.atlassian.com/server/confluence/p... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-10 | )
[docs] def process_pages(
self,
pages: List[dict],
include_restricted_content: bool,
include_attachments: bool,
include_comments: bool,
content_format: ContentFormat,
ocr_languages: Optional[str] = None,
keep_markdown_format: Optional[bool] = False,
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-11 | except ImportError:
raise ImportError(
"`beautifulsoup4` package not found, please run "
"`pip install beautifulsoup4`"
)
if include_attachments:
attachment_texts = self.process_attachment(page["id"], ocr_languages)
else... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-12 | return Document(
page_content=text,
metadata=metadata,
)
[docs] def process_attachment(
self,
page_id: str,
ocr_languages: Optional[str] = None,
) -> List[str]:
try:
from PIL import Image # noqa: F401
except ImportError:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-13 | continue
texts.append(text)
except requests.HTTPError as e:
if e.response.status_code == 404:
print(f"Attachment not found at {absolute_url}")
continue
else:
raise
return texts
[docs] def p... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-14 | "`pytesseract` or `Pillow` package not found, "
"please run `pip install pytesseract Pillow`"
)
response = self.confluence.request(path=link, absolute=True)
text = ""
if (
response.status_code != 200
or response.content == b""
or re... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-15 | response = self.confluence.request(path=link, absolute=True)
text = ""
if (
response.status_code != 200
or response.content == b""
or response.content is None
):
return text
filename = os.path.basename(link)
# Getting the whole cont... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
7f601a5fb302-16 | except ImportError:
raise ImportError(
"`pytesseract`, `Pillow`, `reportlab` or `svglib` package not found, "
"please run `pip install pytesseract Pillow reportlab svglib`"
)
response = self.confluence.request(path=link, absolute=True)
text = ""
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
0704a9841c91-0 | Source code for langchain.document_loaders.async_html
import asyncio
import logging
import warnings
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict, Iterator, List, Optional, Union, cast
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.documen... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
0704a9841c91-1 | autoset_encoding: bool = True,
encoding: Optional[str] = None,
default_parser: str = "html.parser",
requests_per_second: int = 2,
requests_kwargs: Optional[Dict[str, Any]] = None,
raise_for_status: bool = False,
ignore_load_errors: bool = False,
):
"""Initiali... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
0704a9841c91-2 | if self.ignore_load_errors:
try:
return self.session.get(url, **self.requests_kwargs)
except Exception as e:
warnings.warn(str(e))
return None
return self.session.get(url, **self.requests_kwargs)
@staticmethod
def _check_parser(pars... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
0704a9841c91-3 | ) -> str:
async with aiohttp.ClientSession() as session:
for i in range(retries):
try:
async with session.get(
url,
headers=self.session.headers,
ssl=None if self.session.verify else False,
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
0704a9841c91-4 | *tasks, desc="Fetching pages", ascii=True, mininterval=1
)
except ImportError:
warnings.warn("For better logging of progress, `pip install tqdm`")
return await asyncio.gather(*tasks)
[docs] def lazy_load(self) -> Iterator[Document]:
"""Lazy load text from the url(s... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
ec4074ce0242-0 | Source code for langchain.document_loaders.etherscan
import os
import re
from typing import Iterator, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class EtherscanLoader(BaseLoader):
"""Load transactions from `Ethereum` mainnet.
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
ec4074ce0242-1 | ]:
raise ValueError(f"Invalid filter {filter}")
[docs] def lazy_load(self) -> Iterator[Document]:
"""Lazy load Documents from table."""
result = []
if self.filter == "normal_transaction":
result = self.getNormTx()
elif self.filter == "internal_transaction":
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
ec4074ce0242-2 | if len(items) == 0:
return [Document(page_content="")]
for item in items:
content = str(item)
metadata = {"from": item["from"], "tx_hash": item["hash"], "to": item["to"]}
result.append(Document(page_content=content, metadata=metadata))
print(len(result))
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
ec4074ce0242-3 | for item in items:
content = str(item)
metadata = {"from": item["from"], "tx_hash": item["hash"], "to": item["to"]}
result.append(Document(page_content=content, metadata=metadata))
return result
[docs] def getERC20Tx(self) -> List[Document]:
url = (
f"h... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
ec4074ce0242-4 | )
try:
response = requests.get(url)
response.raise_for_status()
except requests.exceptions.RequestException as e:
print("Error occurred while making the request:", e)
items = response.json()["result"]
result = []
if len(items) == 0:
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
878498865c8e-0 | Source code for langchain.document_loaders.bilibili
import json
import re
import warnings
from typing import List, Tuple
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BiliBiliLoader(BaseLoader):
"""Load `BiliBili` video transcript... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html |
878498865c8e-1 | raise ValueError(f"{url} is not bilibili url.")
else:
raise ValueError(f"{url} is not bilibili url.")
video_info = sync(v.get_info())
video_info.update({"url": url})
sub = sync(v.get_subtitle(video_info["cid"]))
# Get subtitle url
sub_list = sub["subti... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html |
7b31da648a9f-0 | Source code for langchain.document_loaders.docusaurus
"""Load Documents from Docusarus Documentation"""
from typing import Any, List, Optional
from langchain.document_loaders.sitemap import SitemapLoader
[docs]class DocusaurusLoader(SitemapLoader):
"""
Loader that leverages the SitemapLoader to loop through the... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docusaurus.html |
7b31da648a9f-1 | """Parses specific elements from a Docusarus page."""
relevant_elements = content.select(",".join(self.custom_html_tags))
for element in relevant_elements:
if element not in relevant_elements:
element.decompose()
return str(content.get_text()) | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docusaurus.html |
a665065467c9-0 | Source code for langchain.document_loaders.json_loader
import json
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class JSONLoader(BaseLoader):
"""Load a `JSON` file ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
a665065467c9-1 | json_lines (bool): Boolean flag to indicate whether the input is in
JSON Lines format.
"""
try:
import jq # noqa:F401
except ImportError:
raise ImportError(
"jq package not found, please install it with `pip install jq`"
)
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
a665065467c9-2 | text = self._get_text(sample=sample)
metadata = self._get_metadata(
sample=sample, source=str(self.file_path), seq_num=i
)
docs.append(Document(page_content=text, metadata=metadata))
def _get_text(self, sample: Any) -> str:
"""Convert sample to string form... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
a665065467c9-3 | if not isinstance(sample, dict):
raise ValueError(
f"Expected the jq schema to result in a list of objects (dict), \
so sample must be a dict but got `{type(sample)}`"
)
if sample.get(self._content_key) is None:
raise ValueError(
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
5f53cd468d6f-0 | Source code for langchain.document_loaders.readthedocs
from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Sequence, Tuple, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECK... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
5f53cd468d6f-1 | encoding: The encoding with which to open the documents.
errors: Specify how encoding and decoding errors are to be handled—this
cannot be used in binary mode.
custom_html_tag: Optional custom html tag to retrieve the content from
files.
patterns: The ... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
5f53cd468d6f-2 | text = self._clean_data(f.read())
yield Document(page_content=text, metadata={"source": str(p)})
[docs] def load(self) -> List[Document]:
"""Load documents."""
return list(self.lazy_load())
def _clean_data(self, data: str) -> str:
from bs4 import BeautifulSoup
soup... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
5f53cd468d6f-3 | "iframe",
"frame",
"frameset",
"noframes",
"applet",
"form",
"button",
"select",
"base",
"style",
"img",
]
newline_elements = [
"p",
"div",
"ul",
"ol",
"li",
"h1",
"h2",
... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
5f53cd468d6f-4 | if isinstance(element, Comment) or tag_name in elements_to_skip:
return ""
elif isinstance(element, NavigableString):
return element
elif tag_name == "br":
return "\n"
elif tag_name in newline_elements:
return (
"".join(
_process_element(child, ele... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
01439f0049f3-0 | Source code for langchain.document_loaders.chromium
import asyncio
import logging
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class AsyncChromiumLoader(BaseLoader):
"""Scrape HTML... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chromium.html |
01439f0049f3-1 | logger.info("Content scraped")
except Exception as e:
results = f"Error: {e}"
await browser.close()
return results
[docs] def lazy_load(self) -> Iterator[Document]:
"""
Lazily load text content from the provided URLs.
This method yields Document... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chromium.html |
1ca51484d448-0 | Source code for langchain.document_loaders.notebook
"""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
[docs]def concatenate_cells(
cell: dict, include_outputs: b... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
1ca51484d448-1 | output = output[0]["text"]
min_output = min(max_output_length, len(output))
return (
f"'{cell_type}' cell: '{source}'\n with "
f"output: '{output[:min_output]}'\n\n"
)
else:
return f"'{cell_type}' cell: '{source}'\n\n"
return ""
[docs]d... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
1ca51484d448-2 | Defaults to False.
"""
self.file_path = path
self.include_outputs = include_outputs
self.max_output_length = max_output_length
self.remove_newline = remove_newline
self.traceback = traceback
[docs] def load(
self,
) -> List[Document]:
"""Load docume... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html |
404818753069-0 | Source code for langchain.document_loaders.acreom
import re
from pathlib import Path
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class AcreomLoader(BaseLoader):
"""Load `acreom` vault from a directory."""
FRONT_M... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
404818753069-1 | if not self.collect_metadata:
return content
return self.FRONT_MATTER_REGEX.sub("", content)
def _process_acreom_content(self, content: str) -> str:
# remove acreom specific elements from content that
# do not contribute to the context of current document
content = re.sub... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
97f84442c522-0 | Source code for langchain.document_loaders.git
import os
from typing import Callable, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GitLoader(BaseLoader):
"""Load `Git` repository files.
The Repository can be local on disk avai... | lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html |
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