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Source code for langchain.document_loaders.tomarkdown """Loader that loads HTML to markdown using 2markdown.""" from __future__ import annotations from typing import Iterator, List import requests from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class ToMarkd...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/tomarkdown.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/roam.html
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Source code for langchain.document_loaders.confluence """Load Data from a Confluence Space""" import logging from io import BytesIO from typing import Any, Callable, List, Optional, Union from tenacity import ( before_sleep_log, retry, stop_after_attempt, wait_exponential, ) from langchain.docstore.docu...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
687c63fd5587-1
:param url: _description_ :type url: str :param api_key: _description_, defaults to None :type api_key: str, optional :param username: _description_, defaults to None :type username: str, optional :param oauth2: _description_, defaults to {} :type oauth2: dict, optional :param cloud: _de...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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if errors: raise ValueError(f"Error(s) while validating input: {errors}") self.base_url = url self.number_of_retries = number_of_retries self.min_retry_seconds = min_retry_seconds self.max_retry_seconds = max_retry_seconds try: from atlassian import Conflu...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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"`username` and provide a value for `oauth2`" ) if oauth2 and oauth2.keys() != [ "access_token", "access_token_secret", "consumer_key", "key_cert", ]: errors.append( "You have either ommited require keys or added ext...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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: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://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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) ids_by_label = [page["id"] for page in pages] if page_ids: page_ids = list(set(page_ids + ids_by_label)) else: page_ids = list(set(ids_by_label)) if cql: pages = self.paginate_request( self.confluence.cql, ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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Unfortunately, due to page size, sometimes the Confluence API doesn't match the limit value. If `limit` is >100 confluence seems to cap the response to 100. Also, due to the Atlassian Python package, we don't get the "next" values from the "_links" key because they only return the value...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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break docs.extend(batch) return docs[:max_pages] [docs] def is_public_page(self, page: dict) -> bool: """Check if a page is publicly accessible.""" restrictions = self.confluence.get_all_restrictions_for_content(page["id"]) return ( page["status"] == "current" ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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).get_text() + "".join(attachment_texts) if include_comments: comments = self.confluence.get_page_comments( page["id"], expand="body.view.value", depth="all" )["results"] comment_texts = [ BeautifulSoup(comment["body"]["view"]["value"], "lxml")...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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elif ( media_type == "application/vnd.openxmlformats-officedocument" ".wordprocessingml.document" ): text = title + self.process_doc(absolute_url) elif media_type == "application/vnd.ms-excel": text = title + self.process_xls(absolu...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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"`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...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html
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): return text workbook = xlrd.open_workbook(file_contents=response.content) for sheet in workbook.sheets(): text += f"{sheet.name}:\n" for row in range(sheet.nrows): for col in range(sheet.ncols): text += f"{sheet.cell_value(row, c...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.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://python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
c7713dad322b-1
import fitz parent_dir = Path(self.file_path).parent # regex is useful for Zotero flavor bibtex files file_names = self.file_regex.findall(entry.get("file", "")) if not file_names: return None texts: List[str] = [] for file_name in file_names: try:...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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Source code for langchain.document_loaders.dataframe """Load from Dataframe object""" from typing import Any, List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class DataFrameLoader(BaseLoader): """Load Pandas DataFrames.""" def __init__(self, dat...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html
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Source code for langchain.document_loaders.epub """Loader that loads EPub files.""" from typing import List from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, satisfies_min_unstructured_version, ) [docs]class UnstructuredEPubLoader(UnstructuredFileLoader): """Loader that uses unst...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/epub.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://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html
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try: from bs4 import BeautifulSoup except ImportError: raise ImportError( "Could not import python packages. " "Please install it with `pip install beautifulsoup4`. " ) try: _ = BeautifulSoup( "<html><body>Pa...
https://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]) By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on M...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html
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Source code for langchain.document_loaders.gutenberg """Loader that loads .txt web files.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class GutenbergLoader(BaseLoader): """Loader that uses urllib to load .txt web files.""" ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gutenberg.html
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Source code for langchain.document_loaders.psychic """Loader that loads documents from Psychic.dev.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class PsychicLoader(BaseLoader): """Loader that loads documents from Psychic.de...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/psychic.html
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Source code for langchain.document_loaders.pdf """Loader that loads PDF files.""" import json import logging import os import tempfile import time from abc import ABC from io import StringIO from pathlib import Path from typing import Any, Iterator, List, Mapping, Optional from urllib.parse import urlparse import reque...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html
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# If the file is a web path, download it to a temporary file, and use that if not os.path.isfile(self.file_path) and self._is_valid_url(self.file_path): r = requests.get(self.file_path) if r.status_code != 200: raise ValueError( "Check the url of your ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html
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"""Initialize with file path.""" try: import pypdf # noqa:F401 except ImportError: raise ImportError( "pypdf package not found, please install it with " "`pip install pypdf`" ) self.parser = PyPDFParser() super().__init__(file_path) [d...
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silent_errors: bool = False, load_hidden: bool = False, recursive: bool = False, ): self.path = path self.glob = glob self.load_hidden = load_hidden self.recursive = recursive self.silent_errors = silent_errors @staticmethod def _is_visible(path: Path)...
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[docs] def load(self) -> List[Document]: """Eagerly load the content.""" return list(self.lazy_load()) [docs] def lazy_load( self, ) -> Iterator[Document]: """Lazily lod documents.""" blob = Blob.from_path(self.file_path) yield from self.parser.parse(blob) [docs...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html
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"""Initialize with file path.""" try: import fitz # noqa:F401 except ImportError: raise ImportError( "`PyMuPDF` package not found, please install it with " "`pip install pymupdf`" ) super().__init__(file_path) [docs] def loa...
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@property def url(self) -> str: return "https://api.mathpix.com/v3/pdf" @property def data(self) -> dict: options = {"conversion_formats": {self.processed_file_format: True}} return {"options_json": json.dumps(options)} [docs] def send_pdf(self) -> str: with open(self.file...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html
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return response.content.decode("utf-8") [docs] def clean_pdf(self, contents: str) -> str: contents = "\n".join( [line for line in contents.split("\n") if not line.startswith("![]")] ) # replace \section{Title} with # Title contents = contents.replace("\\section{", "# ").re...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html
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[docs] def load(self) -> List[Document]: """Load file.""" parser = PDFPlumberParser(text_kwargs=self.text_kwargs) blob = Blob.from_path(self.file_path) return parser.parse(blob) By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on May 28, 2023.
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/html.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://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://python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html
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executor.map(lambda i: self.load_file(i, p, docs, pbar), items) else: for i in items: self.load_file(i, p, docs, pbar) if pbar: pbar.close() return docs # By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on May 28, 2023.
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html
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Source code for langchain.document_loaders.gcs_directory """Loading logic for loading documents from an GCS directory.""" from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.document_loaders.gcs_file import GCSFileLoader [docs]cl...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_directory.html
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Source code for langchain.document_loaders.apify_dataset """Logic for loading documents from Apify datasets.""" from typing import Any, Callable, Dict, List from pydantic import BaseModel, root_validator from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html
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) return values [docs] def load(self) -> List[Document]: """Load documents.""" dataset_items = self.apify_client.dataset(self.dataset_id).list_items().items return list(map(self.dataset_mapping_function, dataset_items)) By Harrison Chase © Copyright 2023, Harrison Chase. ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/srt.html
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Source code for langchain.document_loaders.s3_file """Loading logic for loading documents from an s3 file.""" import os import tempfile from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.document_loaders.unstructured import Unst...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_file.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/imsdb.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://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://python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html
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Source code for langchain.document_loaders.youtube """Loader that loads YouTube transcript.""" from __future__ import annotations import logging from pathlib import Path from typing import Any, Dict, List, Optional from urllib.parse import parse_qs, urlparse from pydantic import root_validator from pydantic.dataclasses...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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"""Validate that either folder_id or document_ids is set, but not both.""" if not values.get("credentials_path") and not values.get( "service_account_path" ): raise ValueError("Must specify either channel_name or video_ids") return values def _load_credentials(self) -...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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token.write(creds.to_json()) return creds ALLOWED_SCHEMAS = {"http", "https"} ALLOWED_NETLOCK = { "youtu.be", "m.youtube.com", "youtube.com", "www.youtube.com", "www.youtube-nocookie.com", "vid.plus", } def _parse_video_id(url: str) -> Optional[str]: """Parse a youtube url and return...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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self.continue_on_failure = continue_on_failure [docs] @staticmethod def extract_video_id(youtube_url: str) -> str: """Extract video id from common YT urls.""" video_id = _parse_video_id(youtube_url) if not video_id: raise ValueError( f"Could not determine the v...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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transcript = en_transcript.translate(self.language) transcript_pieces = transcript.fetch() transcript = " ".join([t["text"].strip(" ") for t in transcript_pieces]) return [Document(page_content=transcript, metadata=metadata)] def _get_video_info(self) -> dict: """Get important video ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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from langchain.document_loaders import GoogleApiYoutubeLoader google_api_client = GoogleApiClient( service_account_path=Path("path_to_your_sec_file.json") ) loader = GoogleApiYoutubeLoader( google_api_client=google_api_client, channel_n...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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raise ValueError("Must specify either channel_name or video_ids") return values def _get_transcripe_for_video_id(self, video_id: str) -> str: from youtube_transcript_api import NoTranscriptFound, YouTubeTranscriptApi transcript_list = YouTubeTranscriptApi.list_transcripts(video_id) t...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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try: from youtube_transcript_api import ( NoTranscriptFound, TranscriptsDisabled, ) except ImportError: raise ImportError( "You must run" "`pip install --upgrade " "youtube-transcript-api` " ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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return video_ids [docs] def load(self) -> List[Document]: """Load documents.""" document_list = [] if self.channel_name: document_list.extend(self._get_document_for_channel(self.channel_name)) elif self.video_ids: document_list.extend( [ ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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Source code for langchain.document_loaders.odt """Loader that loads Open Office ODT files.""" from typing import Any, List from langchain.document_loaders.unstructured import ( UnstructuredFileLoader, validate_unstructured_version, ) [docs]class UnstructuredODTLoader(UnstructuredFileLoader): """Loader that ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/odt.html
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Source code for langchain.document_loaders.gitbook """Loader that loads GitBook.""" from typing import Any, List, Optional from urllib.parse import urljoin, urlparse from langchain.docstore.document import Document from langchain.document_loaders.web_base import WebBaseLoader [docs]class GitbookLoader(WebBaseLoader): ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html
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[docs] def load(self) -> List[Document]: """Fetch text from one single GitBook page.""" if self.load_all_paths: soup_info = self.scrape() relative_paths = self._get_paths(soup_info) documents = [] for path in relative_paths: url = urljoi...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gitbook.html
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Source code for langchain.document_loaders.mediawikidump """Load Data from a MediaWiki dump xml.""" from typing import List, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class MWDumpLoader(BaseLoader): """ Load MediaWiki dump from XML fil...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html
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) metadata = {"source": page.title} docs.append(Document(page_content=text, metadata=metadata)) return docs By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on May 28, 2023.
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html
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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): """Loader that loads bilibili trans...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html
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video_info = sync(v.get_info()) video_info.update({"url": url}) # Get subtitle url subtitle = video_info.pop("subtitle") sub_list = subtitle["list"] if sub_list: sub_url = sub_list[0]["subtitle_url"] result = requests.get(sub_url) raw_sub_title...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bilibili.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html
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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://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html
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Source code for langchain.document_loaders.hugging_face_dataset """Loader that loads HuggingFace datasets.""" from typing import Iterator, List, Mapping, Optional, Sequence, Union from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class HuggingFaceDatasetLoader...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html
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self.page_content_column = page_content_column self.name = name self.data_dir = data_dir self.data_files = data_files self.cache_dir = cache_dir self.keep_in_memory = keep_in_memory self.save_infos = save_infos self.use_auth_token = use_auth_token self.num...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hugging_face_dataset.html
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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://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://python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html
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Source code for langchain.document_loaders.stripe """Loader that fetches data from 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_dic...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.html
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if endpoint is None: return [] return self._make_request(endpoint) [docs] def load(self) -> List[Document]: return self._get_resource() By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on May 28, 2023.
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/stripe.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://python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html
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return list(self.lazy_load()) By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on May 28, 2023.
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html
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Source code for langchain.document_loaders.bigquery from typing import List, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class BigQueryLoader(BaseLoader): """Loads a query result from BigQuery into a list of documents. Each document repr...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html
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metadata_columns = [] for row in query_result: page_content = "\n".join( f"{k}: {v}" for k, v in row.items() if k in page_content_columns ) metadata = {k: v for k, v in row.items() if k in metadata_columns} doc = Document(page_content=page_content,...
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Source code for langchain.document_loaders.chatgpt """Load conversations from ChatGPT data export""" import datetime import json from typing import List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader def concatenate_rows(message: dict, title: str) -> str: if ...
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documents.append(Document(page_content=text, metadata=metadata)) return documents By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on May 28, 2023.
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Source code for langchain.document_loaders.blockchain import os import re import time from enum import Enum from typing import List, Optional import requests from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader class BlockchainType(Enum): ETH_MAINNET = "eth-mainnet...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
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""" def __init__( self, contract_address: str, blockchainType: BlockchainType = BlockchainType.ETH_MAINNET, api_key: str = "docs-demo", startToken: str = "", get_all_tokens: bool = False, max_execution_time: Optional[int] = None, ): self.contract_a...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
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tokenId = item["id"]["tokenId"] metadata = { "source": self.contract_address, "blockchain": self.blockchainType, "tokenId": tokenId, } result.append(Document(page_content=content, metadata=metadata)) ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
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else: return str(result) # A smart contract can use different formats for the tokenId @staticmethod def _detect_value_type(tokenId: str) -> str: if isinstance(tokenId, int): return "int" elif tokenId.startswith("0x"): return "hex_0x" elif tokenId.s...
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Source code for langchain.document_loaders.docugami """Loader that loads processed documents from Docugami.""" import io import logging import os import re from pathlib import Path from typing import Any, Dict, List, Mapping, Optional, Sequence, Union import requests from pydantic import BaseModel, root_validator from ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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if values.get("file_paths") and values.get("docset_id"): raise ValueError("Cannot specify both file_paths and remote API docset_id") if not values.get("file_paths") and not values.get("docset_id"): raise ValueError("Must specify either file_paths or remote API docset_id") if valu...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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ancestor_chain = chunk.xpath("ancestor-or-self::*") return "/" + "/".join(_xpath_qname_for_chunk(x) for x in ancestor_chain) def _structure_value(node: Any) -> str: """Get the structure value for a node.""" structure = ( "table" if node.tag == ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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"""Create a Document from a node and text.""" metadata = { XPATH_KEY: _xpath_for_chunk(node), DOCUMENT_ID_KEY: document["id"], DOCUMENT_NAME_KEY: document["name"], STRUCTURE_KEY: node.attrib.get("structure", ""), TAG_KEY: re.sub...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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while url: response = requests.get( url, headers={"Authorization": f"Bearer {self.access_token}"}, ) if response.ok: data = response.json() all_documents.extend(data["documents"]) url = data.get("next", N...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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data={}, ) if response.ok: data = response.json() all_artifacts.extend(data["artifacts"]) url = data.get("next", None) else: raise Exception( f"Failed to download {url} (status: {response.status_code}...
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per_file_metadata[doc_id] = metadata else: raise Exception( f"Failed to download {artifact_url}/content " + "(status: {response.status_code})" ) return per_file_metadata def _load_chunks_for_document( ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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for project in _project_details: metadata = self._metadata_for_project(project) combined_project_metadata.update(metadata) for doc in _document_details: doc_metadata = combined_project_metadata.get(doc["id"]) chunks += self._load_chunks...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html
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Source code for langchain.document_loaders.markdown """Loader that loads Markdown files.""" from typing import List from langchain.document_loaders.unstructured import UnstructuredFileLoader [docs]class UnstructuredMarkdownLoader(UnstructuredFileLoader): """Loader that uses unstructured to load markdown files.""" ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html
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Source code for langchain.document_loaders.discord """Load from Discord chat dump""" from __future__ import annotations from typing import TYPE_CHECKING, List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader if TYPE_CHECKING: import pandas as pd [docs]class Dis...
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Source code for langchain.document_loaders.unstructured """Loader that uses unstructured to load files.""" import collections from abc import ABC, abstractmethod from typing import IO, Any, List, Sequence, Union from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader def ...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html
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import unstructured # noqa:F401 except ImportError: raise ValueError( "unstructured package not found, please install it with " "`pip install unstructured`" ) _valid_modes = {"single", "elements"} if mode not in _valid_modes: r...
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docs = [Document(page_content=text, metadata=metadata)] else: raise ValueError(f"mode of {self.mode} not supported.") return docs [docs]class UnstructuredFileLoader(UnstructuredBaseLoader): """Loader that uses unstructured to load files.""" def __init__( self, file_pa...
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elements.extend(_elements) return elements else: from unstructured.partition.api import partition_via_api return partition_via_api( filename=file_path, file=file, api_key=api_key, api_url=api_url, **unstructured_kwargs, ) [d...
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file: Union[IO, Sequence[IO]], mode: str = "single", **unstructured_kwargs: Any, ): """Initialize with file path.""" self.file = file super().__init__(mode=mode, **unstructured_kwargs) def _get_elements(self) -> List: from unstructured.partition.auto import partit...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html
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Source code for langchain.document_loaders.url_selenium """Loader that uses Selenium to load a page, then uses unstructured to load the html. """ import logging from typing import TYPE_CHECKING, List, Literal, Optional, Union if TYPE_CHECKING: from selenium.webdriver import Chrome, Firefox from langchain.docstore.d...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html
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raise ImportError( "selenium package not found, please install it with " "`pip install selenium`" ) try: import unstructured # noqa:F401 except ImportError: raise ImportError( "unstructured package not found, please ins...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html
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for arg in self.arguments: firefox_options.add_argument(arg) if self.headless: firefox_options.add_argument("--headless") if self.binary_location is not None: firefox_options.binary_location = self.binary_location if self.executable_pat...
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Source code for langchain.document_loaders.url """Loader that uses unstructured to load HTML files.""" import logging from typing import Any, List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader logger = logging.getLogger(__name__) [docs]class UnstructuredURLLoade...
https://python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html
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def _validate_mode(self, mode: str) -> None: _valid_modes = {"single", "elements"} if mode not in _valid_modes: raise ValueError( f"Got {mode} for `mode`, but should be one of `{_valid_modes}`" ) def __is_headers_available_for_html(self) -> bool: _unst...
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elements = partition(url=url, **self.unstructured_kwargs) else: if self.__is_headers_available_for_html(): elements = partition_html( url=url, headers=self.headers, **self.unstructured_kwargs ) ...
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