id stringlengths 14 16 | text stringlengths 31 2.41k | source stringlengths 54 121 |
|---|---|---|
fcfde8a0f140-1 | """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 |
fcfde8a0f140-2 | 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 |
fcfde8a0f140-3 | data = res.json()
text = "\n".join(
[
data[key]
for key in ["title", "description", "contents_raw"]
if key in data
]
).strip()
metadata = {"source": self.web_path, "title": data["title"]}
documents.append(Document(pa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
fcfde8a0f140-4 | else:
for part in data["parts"]:
doc_parts.append("\n - " + part["text"])
for row in data["steps"]:
doc_parts.append(
"\n\n## "
+ (
row["title"]
if row["title"] != ""
else "Step {}... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/ifixit.html |
ae2eb36c2be0-0 | Source code for langchain.document_loaders.notiondb
"""Notion DB loader for langchain"""
from typing import Any, Dict, List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
NOTION_BASE_URL = "https://api.notion.com/v1"
DATABASE_URL = NOTIO... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ae2eb36c2be0-1 | Returns:
List[Document]: List of documents.
"""
page_summaries = self._retrieve_page_summaries()
return list(self.load_page(page_summary) for page_summary in page_summaries)
def _retrieve_page_summaries(
self, query_dict: Dict[str, Any] = {"page_size": 100}
) -> List[... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ae2eb36c2be0-2 | if prop_data["multi_select"]
else []
)
elif prop_type == "url":
value = prop_data["url"]
else:
value = None
metadata[prop_name.lower()] = value
metadata["id"] = page_id
return Document(page_content=se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
ae2eb36c2be0-3 | method,
url,
headers=self.headers,
json=query_dict,
timeout=self.request_timeout_sec,
)
res.raise_for_status()
return res.json() | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notiondb.html |
c8f7da67fc6d-0 | Source code for langchain.document_loaders.bibtex
import logging
import re
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.bibtex import BibtexparserWrapper... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html |
c8f7da67fc6d-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 |
c8f7da67fc6d-2 | 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 |
b6925eca9356-0 | Source code for langchain.document_loaders.slack_directory
"""Loader for documents from a Slack export."""
import json
import zipfile
from pathlib import Path
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class Slack... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
b6925eca9356-1 | if not channel_name:
continue
if channel_path.endswith(".json"):
messages = self._read_json(zip_file, channel_path)
for message in messages:
document = self._convert_message_to_document(
messa... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
b6925eca9356-2 | "timestamp": timestamp,
"user": user,
}
def _get_message_source(self, channel_name: str, user: str, timestamp: str) -> str:
"""
Get the message source as a string.
Args:
channel_name (str): The name of the channel the message belongs to.
user (str)... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
0acdd6746fe6-0 | Source code for langchain.document_loaders.merge
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class MergedDataLoader(BaseLoader):
"""Merge documents from a list of loaders"""
def __init__(self, loaders: List):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/merge.html |
7a924bfd1512-0 | 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 |
7a924bfd1512-1 | 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 |
5ca661859303-0 | 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 |
0e143cc51f04-0 | 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 |
df9a292c4399-0 | 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 |
df9a292c4399-1 | 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 |
c2d5ef2d9ec7-0 | Source code for langchain.document_loaders.xml
"""Loader that loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredXMLLoader(UnstructuredFileLoader):
"""Loader that ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xml.html |
92717962b784-0 | 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 |
92717962b784-1 | 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 |
440541b06ee7-0 | 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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
440541b06ee7-1 | )
metadata = {"source": page.title}
docs.append(Document(page_content=text, metadata=metadata))
return docs | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mediawikidump.html |
dad6210c516d-0 | Source code for langchain.document_loaders.recursive_url_loader
from typing import Iterator, List, Optional, Set
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class RecursiveUrlLoader(BaseLoader):
"""Lo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
dad6210c516d-1 | ):
return visited
# Get all links that are relative to the root of the website
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
all_links = [link.get("href") for link in soup.find_all("a")]
# Extract only the links that are children of t... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/recursive_url_loader.html |
625be12af986-0 | 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 |
625be12af986-1 | """
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 |
625be12af986-2 | 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 |
c547f90d1241-0 | Source code for langchain.document_loaders.trello
"""Loader that loads cards from Trello"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, List, Literal, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.util... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
c547f90d1241-1 | self.board_name = board_name
self.include_card_name = include_card_name
self.include_comments = include_comments
self.include_checklist = include_checklist
self.extra_metadata = extra_metadata
self.card_filter = card_filter
[docs] @classmethod
def from_credentials(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
c547f90d1241-2 | token = token or get_from_env("token", "TRELLO_TOKEN")
client = TrelloClient(api_key=api_key, token=token)
return cls(client, board_name, **kwargs)
[docs] def load(self) -> List[Document]:
"""Loads all cards from the specified Trello board.
You can filter the cards, metadata and text ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
c547f90d1241-3 | if self.include_card_name:
text_content = card.name + "\n"
if card.description.strip():
text_content += BeautifulSoup(card.description, "lxml").get_text()
if self.include_checklist:
# Get all the checklist items on the card
for checklist in card.checklists... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/trello.html |
820c8299cc3e-0 | Source code for langchain.document_loaders.acreom
"""Loader that loads acreom vault from a directory."""
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):
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
820c8299cc3e-1 | # do not contribute to the context of current document
content = re.sub("\s*-\s\[\s\]\s.*|\s*\[\s\]\s.*", "", content) # rm tasks
content = re.sub("#", "", content) # rm hashtags
content = re.sub("\[\[.*?\]\]", "", content) # rm doclinks
return content
[docs] def lazy_load(self) ->... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/acreom.html |
0af6b49d5fe4-0 | 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 |
a1de7427e821-0 | 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 |
a1de7427e821-1 | 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 |
1e093ab90d92-0 | 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 |
9d81001d45da-0 | 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 |
69146a6772ce-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, Dict, List, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoade... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
69146a6772ce-1 | import unstructured # noqa:F401
except ImportError:
raise ValueError(
"unstructured package not found, please install it with "
"`pip install unstructured`"
)
_valid_modes = {"single", "elements", "paged"}
if mode not in _valid_modes:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
69146a6772ce-2 | for idx, element in enumerate(elements):
metadata = self._get_metadata()
if hasattr(element, "metadata"):
metadata.update(element.metadata.to_dict())
page_number = metadata.get("page_number", 1)
# Check if this page_number already exist... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
69146a6772ce-3 | def _get_elements(self) -> List:
from unstructured.partition.auto import partition
return partition(filename=self.file_path, **self.unstructured_kwargs)
def _get_metadata(self) -> dict:
return {"source": self.file_path}
def get_elements_from_api(
file_path: Union[str, List[str], None] = ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
69146a6772ce-4 | url: str = "https://api.unstructured.io/general/v0/general",
api_key: str = "",
**unstructured_kwargs: Any,
):
"""Initialize with file path."""
if isinstance(file_path, str):
validate_unstructured_version(min_unstructured_version="0.6.2")
else:
validat... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
69146a6772ce-5 | def __init__(
self,
file: Union[IO, Sequence[IO]],
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... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/unstructured.html |
6bc8c31c0d34-0 | Source code for langchain.document_loaders.word_document
"""Loader that loads word documents."""
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
6bc8c31c0d34-1 | if hasattr(self, "temp_file"):
self.temp_file.close()
[docs] def load(self) -> List[Document]:
"""Load given path as single page."""
import docx2txt
return [
Document(
page_content=docx2txt.process(self.file_path),
metadata={"source": se... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
6bc8c31c0d34-2 | f"You are on unstructured version {__unstructured_version__}. "
"Partitioning .doc files is only supported in unstructured>=0.4.11. "
"Please upgrade the unstructured package and try again."
)
if is_doc:
from unstructured.partition.doc import partition_doc... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
c0e9bf9fe826-0 | 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):
"""Enumerator of the suppo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
c0e9bf9fe826-1 | """
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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
c0e9bf9fe826-2 | tokenId = item["id"]["tokenId"]
metadata = {
"source": self.contract_address,
"blockchain": self.blockchainType,
"tokenId": tokenId,
}
result.append(Document(page_content=content, metadata=metadata))
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
c0e9bf9fe826-3 | elif value_type == "hex_0xbf":
return "0xbf" + format(result, "0" + str(len(tokenId) - 4) + "x")
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... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html |
bf58acc39c58-0 | Source code for langchain.document_loaders.evernote
"""Load documents from Evernote.
https://gist.github.com/foxmask/7b29c43a161e001ff04afdb2f181e31c
"""
import hashlib
import logging
from base64 import b64decode
from time import strptime
from typing import Any, Dict, Iterator, List, Optional
from langchain.docstore.do... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
bf58acc39c58-1 | self.file_path = file_path
self.load_single_document = load_single_document
[docs] def load(self) -> List[Document]:
"""Load documents from EverNote export file."""
documents = [
Document(
page_content=note["content"],
metadata={
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
bf58acc39c58-2 | rsc_dict["hash"] = hashlib.md5(rsc_dict[elem.tag]).hexdigest()
else:
rsc_dict[elem.tag] = elem.text
return rsc_dict
@staticmethod
def _parse_note(note: List, prefix: Optional[str] = None) -> dict:
note_dict: Dict[str, Any] = {}
resources = []
def add_p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
bf58acc39c58-3 | # Without huge_tree set to True, parser may complain about huge text node
# Try to recover, because there may be " ", which will cause
# "XMLSyntaxError: Entity 'nbsp' not defined"
try:
from lxml import etree
except ImportError as e:
logging.error(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
917f8d9273ad-0 | 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 |
30c7d8afd28c-0 | 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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/gutenberg.html |
beb2987a23b1-0 | Source code for langchain.document_loaders.sitemap
"""Loader that fetches a sitemap and loads those URLs."""
import itertools
import re
from typing import Any, Callable, Generator, Iterable, List, Optional
from langchain.document_loaders.web_base import WebBaseLoader
from langchain.schema import Document
def _default_p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
beb2987a23b1-1 | meta_function: Function to parse bs4.Soup output for metadata
remember when setting this method to also copy metadata["loc"]
to metadata["source"] if you are using this field
is_local: whether the sitemap is a local file
"""
if blocksize is not None and blocks... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
beb2987a23b1-2 | if (prop := url.find(tag))
}
)
for sitemap in soup.find_all("sitemap"):
loc = sitemap.find("loc")
if not loc:
continue
soup_child = self.scrape_all([loc.text], "xml")[0]
els.extend(self.parse_sitemap(soup_child))
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
55434ff79ce7-0 | 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 |
55434ff79ce7-1 | 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... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
55434ff79ce7-2 | :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 |
55434ff79ce7-3 | 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 |
55434ff79ce7-4 | "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 |
55434ff79ce7-5 | :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 |
55434ff79ce7-6 | 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 |
55434ff79ce7-7 | )(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 |
55434ff79ce7-8 | 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 |
55434ff79ce7-9 | 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 |
55434ff79ce7-10 | 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 |
55434ff79ce7-11 | ".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 |
55434ff79ce7-12 | 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 |
55434ff79ce7-13 | 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 |
55434ff79ce7-14 | 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 |
54310919df4e-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 |
54310919df4e-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 |
bd990968fac8-0 | 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 |
adb4340c51cd-0 | Source code for langchain.document_loaders.weather
"""Simple reader that reads weather data from OpenWeatherMap API"""
from __future__ import annotations
from datetime import datetime
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.b... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html |
cd5252feced9-0 | 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 |
cd5252feced9-1 | "`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 |
86997a45354c-0 | 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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/odt.html |
b3e8401aa746-0 | 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 |
b3e8401aa746-1 | ):
"""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 |
b3e8401aa746-2 | """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 |
b3e8401aa746-3 | # 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 |
b3e8401aa746-4 | 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 |
b3e8401aa746-5 | """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 |
690e48bb411b-0 | Source code for langchain.document_loaders.telegram
"""Loader that loads Telegram chat json dump."""
from __future__ import annotations
import asyncio
import json
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.docume... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
690e48bb411b-1 | if isinstance(text, str):
# Take a single string as one page
text = [text]
page_docs = [Document(page_content=page) for page in text]
# Add page numbers as metadata
for i, doc in enumerate(page_docs):
doc.metadata["page"] = i + 1
# Split pages into chunks
doc_chunks = []
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
690e48bb411b-2 | [docs] async def fetch_data_from_telegram(self) -> None:
"""Fetch data from Telegram API and save it as a JSON file."""
from telethon.sync import TelegramClient
data = []
async with TelegramClient(self.username, self.api_id, self.api_hash) as client:
async for message in c... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
690e48bb411b-3 | Args:
parent_id (int): The parent message ID.
reply_data (pd.DataFrame): A DataFrame containing reply messages.
Returns:
list: A list of message IDs that are replies to the parent message ID.
"""
# Find direct replies to the parent mess... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
690e48bb411b-4 | message_threads (dict): A dictionary where the key is the parent message \
ID and the value is a list of message IDs in ascending order.
data (pd.DataFrame): A DataFrame containing the conversation data:
- message.sender_id
- text
- date
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
690e48bb411b-5 | please install with `pip install pandas`
"""
)
normalized_messages = pd.json_normalize(d)
df = pd.DataFrame(normalized_messages)
message_threads = self._get_message_threads(df)
combined_texts = self._combine_message_texts(message_threads, df)
return te... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/telegram.html |
5c4d318f409e-0 | Source code for langchain.document_loaders.embaas
import base64
import warnings
from typing import Any, Dict, Iterator, List, Optional
import requests
from pydantic import BaseModel, root_validator, validator
from typing_extensions import NotRequired, TypedDict
from langchain.docstore.document import Document
from lang... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
5c4d318f409e-1 | """The instruction to pass to the Embaas document extraction API."""
class EmbaasDocumentExtractionPayload(EmbaasDocumentExtractionParameters):
"""Payload for the Embaas document extraction API."""
bytes: str
"""The base64 encoded bytes of the document to extract text from."""
class BaseEmbaasLoader(BaseMod... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/embaas.html |
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