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Source code for langchain.document_loaders.notebook """Loader that loads .ipynb notebook files.""" import json from pathlib import Path from typing import Any, List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]def concatenate_cells( cell: dict, includ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html
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) else: return f"'{cell_type}' cell: '{source}'\n\n" return "" [docs]def remove_newlines(x: Any) -> Any: """Remove recursively newlines, no matter the data structure they are stored in.""" import pandas as pd if isinstance(x, str): return x.replace("\n", "") elif isinstance(x, li...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html
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filtered_data = data[["cell_type", "source", "outputs"]] if self.remove_newline: filtered_data = filtered_data.applymap(remove_newlines) text = filtered_data.apply( lambda x: concatenate_cells( x, self.include_outputs, self.max_output_length, self.traceback ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notebook.html
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Source code for langchain.document_loaders.image_captions """ Loader that loads image captions By default, the loader utilizes the pre-trained BLIP image captioning model. https://huggingface.co/Salesforce/blip-image-captioning-base """ from typing import Any, List, Tuple, Union import requests from langchain.docstore....
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html
aeffdd606780-1
model=model, processor=processor, path_image=path_image ) doc = Document(page_content=caption, metadata=metadata) results.append(doc) return results def _get_captions_and_metadata( self, model: Any, processor: Any, path_image: str ) -> Tuple[str, dict]: ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html
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Source code for langchain.document_loaders.excel """Loader that loads Microsoft Excel files.""" from typing import Any, List from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, validate_unstructured_version, ) [docs]class UnstructuredExcelLoader(UnstructuredFileLoader): """Loader t...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/excel.html
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Source code for langchain.document_loaders.srt """Loader for .srt (subtitle) files.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class SRTLoader(BaseLoader): """Loader for .srt (subtitle) files.""" def __init__(self, fil...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/srt.html
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Source code for langchain.document_loaders.azlyrics """Loader that loads AZLyrics.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.web_base import WebBaseLoader [docs]class AZLyricsLoader(WebBaseLoader): """Loader that loads AZLyrics webpages.""" [docs] ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azlyrics.html
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Source code for langchain.document_loaders.imsdb """Loader that loads IMSDb.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.web_base import WebBaseLoader [docs]class IMSDbLoader(WebBaseLoader): """Loader that loads IMSDb webpages.""" [docs] def load(se...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/imsdb.html
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Source code for langchain.document_loaders.azure_blob_storage_file """Loading logic for loading documents from an Azure Blob Storage file.""" import os import tempfile from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.document_...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html
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Source code for langchain.document_loaders.azure_blob_storage_container """Loading logic for loading documents from an Azure Blob Storage container.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.azure_blob_storage_file import ( AzureBlobStorageFileLoader...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html
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Source code for langchain.document_loaders.hn """Loader that loads HN.""" from typing import Any, List from langchain.docstore.document import Document from langchain.document_loaders.web_base import WebBaseLoader [docs]class HNLoader(WebBaseLoader): """Load Hacker News data from either main page results or the com...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html
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title = lineItem.find("span", {"class": "titleline"}).text.strip() metadata = { "source": self.web_path, "title": title, "link": link, "ranking": ranking, } documents.append( Document( ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html
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Source code for langchain.document_loaders.readthedocs """Loader that loads ReadTheDocs documentation directory dump.""" from pathlib import Path from typing import Any, List, Optional, Tuple, Union from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class ReadT...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html
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from bs4 import BeautifulSoup except ImportError: raise ImportError( "Could not import python packages. " "Please install it with `pip install beautifulsoup4`. " ) try: _ = BeautifulSoup( "<html><body>Parser builder libr...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html
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if text is not None: break if text is not None: text = text.get_text() else: text = "" # trim empty lines return "\n".join([t for t in text.split("\n") if t])
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html
d7ef28caa549-0
Source code for langchain.document_loaders.arxiv from typing import List, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.utilities.arxiv import ArxivAPIWrapper [docs]class ArxivLoader(BaseLoader): """Loads a query result from arxiv.org...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/arxiv.html
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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
8c84e294c480-1
import fitz parent_dir = Path(self.file_path).parent # regex is useful for Zotero flavor bibtex files file_names = self.file_regex.findall(entry.get("file", "")) if not file_names: return None texts: List[str] = [] for file_name in file_names: try:...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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yield doc [docs] def load(self) -> List[Document]: """Load bibtex file documents from the given bibtex file path. See https://bibtexparser.readthedocs.io/en/master/ Args: file_path: the path to the bibtex file Returns: a list of documents with the document.page...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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Source code for langchain.document_loaders.obsidian """Loader that loads Obsidian directory dump.""" import re from pathlib import Path from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class ObsidianLoader(BaseLoader): """Loader th...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html
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ps = list(Path(self.file_path).glob("**/*.md")) docs = [] for p in ps: with open(p, encoding=self.encoding) as f: text = f.read() front_matter = self._parse_front_matter(text) text = self._remove_front_matter(text) metadata = { ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/obsidian.html
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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 pydantic import BaseModel, root_validator, validator from langchain.docstore.document import Document from langchain.document_loaders...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html
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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 user.""" creator: Optional[str] = None """Filter on the user that created t...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html
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[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 - creator ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html
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"""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[...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html
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return query_params @property def url(self) -> str: return f"https://api.github.com/repos/{self.repo}/issues?{self.query_params}"
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/github.html
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Source code for langchain.document_loaders.url_playwright """Loader that uses Playwright to load a page, then uses unstructured to load the html. """ import logging from typing import List, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader logger = logging....
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html
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[docs] def load(self) -> List[Document]: """Load the specified URLs using Playwright and create Document instances. Returns: List[Document]: A list of Document instances with loaded content. """ from playwright.sync_api import sync_playwright from unstructured.part...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html
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Source code for langchain.document_loaders.joplin import json import urllib from datetime import datetime from typing import Iterator, List, Optional from langchain.document_loaders.base import BaseLoader from langchain.schema import Document from langchain.utils import get_from_env LINK_NOTE_TEMPLATE = "joplin://x-cal...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html
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) self._get_tag_url = ( f"{base_url}/notes/{{id}}/tags?token={access_token}&fields=title" ) def _get_notes(self) -> Iterator[Document]: has_more = True page = 1 while has_more: req_note = urllib.request.Request(self._get_note_url.format(page=page)) ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html
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def _convert_date(self, date: int) -> str: return datetime.fromtimestamp(date / 1000).strftime("%Y-%m-%d %H:%M:%S") [docs] def lazy_load(self) -> Iterator[Document]: yield from self._get_notes() [docs] def load(self) -> List[Document]: return list(self.lazy_load())
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html
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Source code for langchain.document_loaders.wikipedia from typing import List, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.utilities.wikipedia import WikipediaAPIWrapper [docs]class WikipediaLoader(BaseLoader): """Loads a query resul...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html
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Loads the query result from Wikipedia into a list of Documents. Returns: List[Document]: A list of Document objects representing the loaded Wikipedia pages. """ client = WikipediaAPIWrapper( lang=self.lang, top_k_results=self.load_max_docs, ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html
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Source code for langchain.document_loaders.onedrive """Loader that loads data from OneDrive""" from __future__ import annotations import logging import os import tempfile from enum import Enum from pathlib import Path from typing import TYPE_CHECKING, Dict, List, Optional, Type, Union from pydantic import BaseModel, Ba...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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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]c...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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) account = Account( credentials=( self.settings.client_id, self.settings.client_secret.get_secret_value(), ), scopes=SCOPES, token_backend=token_backend, **{"raise_http_errors": False}, ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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folder (Type[Folder]): The folder object to load the documents from. Returns: List[Document]: A list of Document objects representing the loaded documents. """ docs = [] file_types = _SupportedFileTypes(file_types=["doc", "docx", "pdf"]) file_mime_types = ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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logging.warning( "There isn't a file with " f"object_id {object_id} in drive {drive}." ) continue if file.is_file: if file.mime_type in list(file_mime_types.values()): load...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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Source code for langchain.document_loaders.rst """Loader that loads RST files.""" from typing import Any, List from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, validate_unstructured_version, ) [docs]class UnstructuredRSTLoader(UnstructuredFileLoader): """Loader that uses unstruc...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rst.html
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Source code for langchain.document_loaders.diffbot """Loader that uses Diffbot to load webpages in text format.""" 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__) [doc...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html
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text = data["objects"][0]["text"] if "objects" in data else "" metadata = {"source": url} docs.append(Document(page_content=text, metadata=metadata)) except Exception as e: if self.continue_on_failure: logger.error(f"Error fetching or proce...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html
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Source code for langchain.document_loaders.rtf """Loader that loads rich text files.""" from typing import Any, List from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, satisfies_min_unstructured_version, ) [docs]class UnstructuredRTFLoader(UnstructuredFileLoader): """Loader that u...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rtf.html
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Source code for langchain.document_loaders.email """Loader that loads email files.""" import os from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, satisfies_...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html
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"`pip install extract_msg`" ) [docs] def load(self) -> List[Document]: """Load data into document objects.""" import extract_msg msg = extract_msg.Message(self.file_path) return [ Document( page_content=msg.body, metadata={ ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html
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Source code for langchain.document_loaders.html """Loader that uses unstructured to load HTML files.""" from typing import List from langchain.document_loaders.unstructured import UnstructuredFileLoader [docs]class UnstructuredHTMLLoader(UnstructuredFileLoader): """Loader that uses unstructured to load HTML files."...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/html.html
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Source code for langchain.document_loaders.org_mode """Loader that loads Org-Mode files.""" from typing import Any, List from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, validate_unstructured_version, ) [docs]class UnstructuredOrgModeLoader(UnstructuredFileLoader): """Loader tha...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/org_mode.html
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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
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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
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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
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Source code for langchain.document_loaders.roam """Loader that loads Roam directory dump.""" 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): """Loader that loads Roam files fr...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/roam.html
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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
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with open(self.file_path, newline="", encoding=self.encoding) as csvfile: csv_reader = csv.DictReader(csvfile, **self.csv_args) # type: ignore for i, row in enumerate(csv_reader): content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items()) try: ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/csv_loader.html
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Source code for langchain.document_loaders.json_loader """Loader that loads data from JSON.""" import json from pathlib import Path from typing import Any, Callable, Dict, List, Optional, Union from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class JSONLoader...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html
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""" try: import jq # noqa:F401 except ImportError: raise ImportError( "jq package not found, please install it with `pip install jq`" ) self.file_path = Path(file_path).resolve() self._jq_schema = jq.compile(jq_schema) self._co...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html
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else: content = sample if self._text_content and not isinstance(content, str): raise ValueError( f"Expected page_content is string, got {type(content)} instead. \ Set `text_content=False` if the desired input for \ `page_content` is...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html
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Source code for langchain.document_loaders.figma """Loader that loads Figma files json dump.""" 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 Fi...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/figma.html
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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): """Loader that loads Open city data.""" def __init__(self, city_id: str,...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/open_city_data.html
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Source code for langchain.document_loaders.spreedly """Loader that fetches data from Spreedly API.""" import json import urllib.request from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.utils import stringify_dict SPREEDLY_ENDP...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/spreedly.html
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text = stringify_dict(json_data) metadata = {"source": url} return [Document(page_content=text, metadata=metadata)] def _get_resource(self) -> List[Document]: endpoint = SPREEDLY_ENDPOINTS.get(self.resource) if endpoint is None: return [] return self._make...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/spreedly.html
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Source code for langchain.document_loaders.mhtml """Loader to load MHTML files, enriching metadata with page title.""" import email import logging from typing import Dict, List, Union from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader logger = logging.getLogger(__nam...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html
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for part in parts: if part.get_content_type() == "text/html": html = part.get_payload(decode=True).decode() soup = BeautifulSoup(html, **self.bs_kwargs) text = soup.get_text(self.get_text_separator) if soup.title: ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html
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Source code for langchain.document_loaders.image """Loader that loads image files.""" from typing import List from langchain.document_loaders.unstructured import UnstructuredFileLoader [docs]class UnstructuredImageLoader(UnstructuredFileLoader): """Loader that uses unstructured to load image files, such as PNGs and...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image.html
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Source code for langchain.document_loaders.facebook_chat """Loader that loads Facebook chat json dump.""" import datetime import json from pathlib import Path from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]def concatenate_rows(row: d...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/facebook_chat.html
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Source code for langchain.document_loaders.notion """Loader that loads Notion directory dump.""" from pathlib import Path from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class NotionDirectoryLoader(BaseLoader): """Loader that load...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notion.html
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Source code for langchain.document_loaders.reddit """Reddit document loader.""" 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 pra...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html
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if self.mode == "subreddit": for search_query in self.search_queries: for category in self.categories: docs = self._subreddit_posts_loader( search_query=search_query, category=category, reddit=reddit ) result...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html
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method = getattr(user.submissions, category) cat_posts = method(limit=self.number_posts) """Format reddit posts into a string.""" for post in cat_posts: metadata = { "post_subreddit": post.subreddit_name_prefixed, "post_category": category, ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html
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Source code for langchain.document_loaders.directory """Loading logic for loading documents from a directory.""" import concurrent import logging from pathlib import Path from typing import Any, List, Optional, Type, Union from langchain.docstore.document import Document from langchain.document_loaders.base import Base...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html
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self.loader_kwargs = loader_kwargs self.silent_errors = silent_errors self.recursive = recursive self.show_progress = show_progress self.use_multithreading = use_multithreading self.max_concurrency = max_concurrency [docs] def load_file( self, item: Path, path: Path, d...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html
00d3d2559258-2
logger.warning(e) else: raise e if self.use_multithreading: with concurrent.futures.ThreadPoolExecutor( max_workers=self.max_concurrency ) as executor: executor.map(lambda i: self.load_file(i, p, docs, pbar), items) ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html
c08570cb9afa-0
Source code for langchain.document_loaders.text import logging from typing import List, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.document_loaders.helpers import detect_file_encodings logger = logging.getLogger(__name__) [docs]class T...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html
c08570cb9afa-1
except Exception as e: raise RuntimeError(f"Error loading {self.file_path}") from e metadata = {"source": self.file_path} return [Document(page_content=text, metadata=metadata)]
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html
e83a36211900-0
Source code for langchain.document_loaders.confluence """Load Data from a Confluence Space""" import logging from enum import Enum from io import BytesIO from typing import Any, Callable, Dict, List, Optional, Union from tenacity import ( before_sleep_log, retry, stop_after_attempt, wait_exponential, ) ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-1
SVG, Word and Excel. 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 ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-2
:type min_retry_seconds: Optional[int], optional :param max_retry_seconds: defaults to 10 :type max_retry_seconds: Optional[int], optional :param confluence_kwargs: additional kwargs to initialize confluence with :type confluence_kwargs: dict, optional :raises ValueError: Errors while validating in...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-3
url=url, oauth2=oauth2, cloud=cloud, **confluence_kwargs ) elif token: self.confluence = Confluence( url=url, token=token, cloud=cloud, **confluence_kwargs ) else: self.confluence = Confluence( url=url, usern...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-4
"keys to the oauth2 dictionary. key values should be " "`['access_token', 'access_token_secret', 'consumer_key', 'key_cert']`" ) if token and (api_key or username or oauth2): errors.append( "Cannot provide a value for `token` and a value for `api_key`, " ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-5
:type include_restricted_content: bool, optional :param include_archived_content: Whether to include archived content, defaults to False :type include_archived_content: bool, optional :param include_attachments: defaults to False :type include_att...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-6
expand=content_format.value, ) docs += self.process_pages( pages, include_restricted_content, include_attachments, include_comments, content_format, ocr_languages, ) if label: ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-7
)(self.confluence.get_page_by_id) page = get_page(page_id=page_id, expand=content_format.value) if not include_restricted_content and not self.is_public_page(page): continue doc = self.process_page( page, include...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-8
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/pagination-in-the-rest-api/ :param retrieval_method: Function us...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-9
pages: List[dict], include_restricted_content: bool, include_attachments: bool, include_comments: bool, content_format: ContentFormat, ocr_languages: Optional[str] = None, ) -> List[Document]: """Process a list of pages into a list of documents.""" docs = [] ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-10
BeautifulSoup(comment["body"]["view"]["value"], "lxml").get_text( " ", strip=True ) for comment in comments ] text = text + "".join(comment_texts) return Document( page_content=text, metadata={ "t...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-11
".wordprocessingml.document" ): text = title + self.process_doc(absolute_url) elif media_type == "application/vnd.ms-excel": text = title + self.process_xls(absolute_url) elif media_type == "image/svg+xml": text = title + self.process_s...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-12
try: import pytesseract # noqa: F401 from PIL import Image # noqa: F401 except ImportError: raise ImportError( "`pytesseract` or `Pillow` package not found, " "please run `pip install pytesseract Pillow`" ) response = self...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-13
text = "" if ( response.status_code != 200 or response.content == b"" or response.content is None ): return text workbook = xlrd.open_workbook(file_contents=response.content) for sheet in workbook.sheets(): text += f"{sheet.name...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
e83a36211900-14
img_data.seek(0) image = Image.open(img_data) return pytesseract.image_to_string(image, lang=ocr_languages)
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
1e2f27bf4d4f-0
Source code for langchain.document_loaders.airbyte_json """Loader that loads local airbyte json files.""" import json from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.utils import stringify_dict [docs]class AirbyteJSONLoader(B...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte_json.html
8e37a95f7b35-0
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): """Loads files from a Git repository into a list of documents. Repositor...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html
8e37a95f7b35-1
else: repo = Repo(self.repo_path) repo.git.checkout(self.branch) docs: List[Document] = [] for item in repo.tree().traverse(): if not isinstance(item, Blob): continue file_path = os.path.join(self.repo_path, item.path) ignored_f...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html
1fdf466dcde4-0
Source code for langchain.document_loaders.blackboard """Loader that loads all documents from a blackboard course.""" import contextlib import re from pathlib import Path from typing import Any, List, Optional, Tuple from urllib.parse import unquote from langchain.docstore.document import Document from langchain.docume...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html
1fdf466dcde4-1
): """Initialize with blackboard course url. The BbRouter cookie is required for most blackboard courses. Args: blackboard_course_url: Blackboard course url. bbrouter: BbRouter cookie. load_all_recursively: If True, load all documents recursively. ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html
1fdf466dcde4-2
"""Load data into document objects. Returns: List of documents. """ if self.load_all_recursively: soup_info = self.scrape() self.folder_path = self._get_folder_path(soup_info) relative_paths = self._get_paths(soup_info) documents = [] ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html
1fdf466dcde4-3
# Get the folder path folder_path = Path(".") / course_name_clean return str(folder_path) def _get_documents(self, soup: Any) -> List[Document]: """Fetch content from page and return Documents. Args: soup: BeautifulSoup4 soup object. Returns: List of d...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html
1fdf466dcde4-4
Path(self.folder_path).mkdir(parents=True, exist_ok=True) # Download all attachments for attachment in attachments: self.download(attachment) def _load_documents(self) -> List[Document]: """Load all documents in the folder. Returns: List of documents. ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html
1fdf466dcde4-5
"""Parse the filename from a url. Args: url: Url to parse the filename from. Returns: The filename. """ if (url_path := Path(url)) and url_path.suffix == ".pdf": return url_path.name else: return self._parse_filename_from_url(url) ...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blackboard.html
159ac61bed59-0
Source code for langchain.document_loaders.ifixit """Loader that loads iFixit data.""" from typing import List, Optional import requests from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.document_loaders.web_base import WebBaseLoader IFIXIT_BASE_URL =...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html
159ac61bed59-1
"""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
159ac61bed59-2
self, url_override: Optional[str] = None ) -> List[Document]: loader = WebBaseLoader(self.web_path if url_override is None else url_override) soup = loader.scrape() output = [] title = soup.find("h1", "post-title").text output.append("# " + title) output.append(soup.s...
https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html