id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 59 127 |
|---|---|---|
5f2b9a179cc1-3 | payload["mime_type"] = blob.mimetype
return payload
def _handle_request(
self, payload: EmbaasDocumentExtractionPayload
) -> List[Document]:
"""Sends a request to the embaas API and handles the response."""
headers = {
"Authorization": f"Bearer {self.embaas_api_key}",... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
5f2b9a179cc1-4 | it as a named parameter to the constructor.
Example:
.. code-block:: python
# Default parsing
from langchain.document_loaders.embaas import EmbaasLoader
loader = EmbaasLoader(file_path="example.mp3")
documents = loader.load()
# Custom api parameter... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
5f2b9a179cc1-5 | yield from self.blob_loader.lazy_parse(blob=blob)
[docs] def load(self) -> List[Document]:
return list(self.lazy_load())
[docs] def load_and_split(
self, text_splitter: Optional[TextSplitter] = None
) -> List[Document]:
if self.params.get("should_embed", False):
warnings.wa... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
5365d60eefb4-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/rtf.html |
80b08bb06794-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/mediawikidump.html |
80b08bb06794-1 | )
metadata = {"source": page.title}
docs.append(Document(page_content=text, metadata=metadata))
return docs
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/mediawikidump.html |
3d12c40ba485-0 | 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 =... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/ifixit.html |
3d12c40ba485-1 | """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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/ifixit.html |
3d12c40ba485-2 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/ifixit.html |
3d12c40ba485-3 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/ifixit.html |
3d12c40ba485-4 | 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 {}... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/ifixit.html |
d404d8f30d08-0 | Source code for langchain.document_loaders.snowflake_loader
from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class SnowflakeLoader(BaseLoader):
"""Loads a que... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/snowflake_loader.html |
d404d8f30d08-1 | self.password = password
self.account = account
self.warehouse = warehouse
self.role = role
self.database = database
self.schema = schema
self.parameters = parameters
self.page_content_columns = (
page_content_columns if page_content_columns is not Non... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/snowflake_loader.html |
d404d8f30d08-2 | ) -> Tuple[List[str], List[str]]:
page_content_columns = (
self.page_content_columns if self.page_content_columns else []
)
metadata_columns = self.metadata_columns if self.metadata_columns else []
if page_content_columns is None and query_result:
page_content_col... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/snowflake_loader.html |
f796cf392639-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/s3_file.html |
6bd0a0f1554b-0 | Source code for langchain.document_loaders.bigquery
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
from google.auth.credentials import Credentials
[docs]clas... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bigquery.html |
6bd0a0f1554b-1 | self.project = project
self.page_content_columns = page_content_columns
self.metadata_columns = metadata_columns
self.credentials = credentials
[docs] def load(self) -> List[Document]:
try:
from google.cloud import bigquery
except ImportError as ex:
rai... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bigquery.html |
16c84175555c-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/hugging_face_dataset.html |
16c84175555c-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/hugging_face_dataset.html |
f3f52799c0fc-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/slack_directory.html |
f3f52799c0fc-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/slack_directory.html |
f3f52799c0fc-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)... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/slack_directory.html |
dfe871275ea7-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/discord.html |
1020feaa15d3-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/evernote.html |
1020feaa15d3-1 | 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={
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/evernote.html |
1020feaa15d3-2 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/evernote.html |
1020feaa15d3-3 | # 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(
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/evernote.html |
1e77fd84db0b-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/spreedly.html |
1e77fd84db0b-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/spreedly.html |
514554c46dda-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/json_loader.html |
514554c46dda-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/json_loader.html |
514554c46dda-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/json_loader.html |
9ddf9dc84f19-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
9ddf9dc84f19-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
9ddf9dc84f19-2 | )
account = Account(
credentials=(
self.settings.client_id,
self.settings.client_secret.get_secret_value(),
),
scopes=SCOPES,
token_backend=token_backend,
**{"raise_http_errors": False},
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
9ddf9dc84f19-3 | 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 = ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
9ddf9dc84f19-4 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/onedrive.html |
50feda4ad259-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/stripe.html |
50feda4ad259-1 | 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 Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/stripe.html |
6512562c2d4a-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):
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/acreom.html |
6512562c2d4a-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) ->... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/acreom.html |
7f5b07604224-0 | 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 ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/apify_dataset.html |
7f5b07604224-1 | )
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.
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/apify_dataset.html |
fe09ac003038-0 | 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, List, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/unstructured.html |
fe09ac003038-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/unstructured.html |
fe09ac003038-2 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/unstructured.html |
fe09ac003038-3 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/unstructured.html |
fe09ac003038-4 | 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 partition
return partition(file=self.... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/unstructured.html |
124aa73c6424-0 | Source code for langchain.document_loaders.joplin
import json
import urllib
from datetime import datetime
from typing import Iterator, List, Optional
from langchain.document_loaders.base import BaseLoader
from langchain.schema import Document
from langchain.utils import get_from_env
LINK_NOTE_TEMPLATE = "joplin://x-cal... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/joplin.html |
124aa73c6424-1 | )
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))
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/joplin.html |
124aa73c6424-2 | 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())
By Harrison Chase
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/joplin.html |
e5dc31f6d3b6-0 | 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):
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gitbook.html |
e5dc31f6d3b6-1 | [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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gitbook.html |
21d90209538f-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/diffbot.html |
21d90209538f-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/diffbot.html |
27b244933503-0 | 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 ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/xml.html |
08429be0abef-0 | Source code for langchain.document_loaders.modern_treasury
"""Loader that fetches data from Modern Treasury"""
import json
import urllib.request
from base64 import b64encode
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from lan... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/modern_treasury.html |
08429be0abef-1 | resource: str,
organization_id: Optional[str] = None,
api_key: Optional[str] = None,
) -> None:
self.resource = resource
organization_id = organization_id or get_from_env(
"organization_id", "MODERN_TREASURY_ORGANIZATION_ID"
)
api_key = api_key or get_from... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/modern_treasury.html |
2f83fe2f6095-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/obsidian.html |
2f83fe2f6095-1 | 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 = {
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/obsidian.html |
06a7a246cb56-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/airbyte_json.html |
09a4c256475a-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notion.html |
20aec4aaba8a-0 | Source code for langchain.document_loaders.python
import tokenize
from langchain.document_loaders.text import TextLoader
[docs]class PythonLoader(TextLoader):
"""
Load Python files, respecting any non-default encoding if specified.
"""
def __init__(self, file_path: str):
with open(file_path, "rb... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/python.html |
1283ee36cb96-0 | 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] ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/azlyrics.html |
c613ff5e5213-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/roam.html |
5566c18b8a45-0 | Source code for langchain.document_loaders.toml
import json
from pathlib import Path
from typing import Iterator, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class TomlLoader(BaseLoader):
"""
A TOML document loader that inherits from ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/toml.html |
5566c18b8a45-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/toml.html |
0889e4770bbd-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/readthedocs.html |
0889e4770bbd-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/readthedocs.html |
0889e4770bbd-2 | 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 J... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/readthedocs.html |
d780d04f61ea-0 | Source code for langchain.document_loaders.duckdb_loader
from typing import Dict, List, Optional, cast
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DuckDBLoader(BaseLoader):
"""Loads a query result from DuckDB into a list of documents.
Each ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/duckdb_loader.html |
d780d04f61ea-1 | results = query_result.fetchall()
description = cast(list, query_result.description)
field_names = [c[0] for c in description]
if self.page_content_columns is None:
page_content_columns = field_names
else:
page_content_columns = self.page_c... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/duckdb_loader.html |
1981d81239c6-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/sitemap.html |
1981d81239c6-1 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/sitemap.html |
1981d81239c6-2 | 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))
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/sitemap.html |
6809b8ac085e-0 | Source code for langchain.document_loaders.s3_directory
"""Loading logic for loading documents from an s3 directory."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.s3_file import S3FileLoader
[docs]class ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/s3_directory.html |
4b7ed04b6698-0 | 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_... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/azure_blob_storage_file.html |
bdfb23f74d6f-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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/excel.html |
eb55d8f6d8cf-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/epub.html |
9b05cbf868bf-0 | Source code for langchain.document_loaders.college_confidential
"""Loader that loads College Confidential."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class CollegeConfidentialLoader(WebBaseLoader):
"""Loader that lo... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/college_confidential.html |
573cffc3e051-0 | Source code for langchain.document_loaders.whatsapp_chat
import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(date: str, sender: str, text: str) -> str:
"""Combine message information i... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/whatsapp_chat.html |
573cffc3e051-1 | text_content += concatenate_rows(date, sender, text)
metadata = {"source": str(p)}
return [Document(page_content=text_content, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/whatsapp_chat.html |
5863a2e19c58-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
5863a2e19c58-1 | ):
"""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.
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
5863a2e19c58-2 | """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 = []
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
5863a2e19c58-3 | # 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
5863a2e19c58-4 | 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.
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
5863a2e19c58-5 | """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)
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
5863a2e19c58-6 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/blackboard.html |
3bd4c4cfce5e-0 | Source code for langchain.document_loaders.gcs_file
"""Loading logic for loading documents from a GCS 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 Uns... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gcs_file.html |
c490a0678303-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/srt.html |
4c19c1f4a1e8-0 | 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... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/text.html |
4c19c1f4a1e8-1 | 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)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 16, 2023. | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/text.html |
a24414fe5b21-0 | Source code for langchain.document_loaders.fauna
from typing import Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class FaunaLoader(BaseLoader):
"""
Attributes:
query (str): The FQL query string to execute... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/fauna.html |
a24414fe5b21-1 | page_content = ""
for key, value in document_dict.items():
if key == self.page_content_field:
page_content = value
document: Document = Document(
page_content=page_content,
metadata={"id": result.id, "ts"... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/fauna.html |
a63f55bcb4d0-0 | Source code for langchain.document_loaders.twitter
"""Twitter document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHEC... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/twitter.html |
a63f55bcb4d0-1 | user = api.get_user(screen_name=username)
docs = self._format_tweets(tweets, user)
results.extend(docs)
return results
def _format_tweets(
self, tweets: List[Dict[str, Any]], user_info: dict
) -> Iterable[Document]:
"""Format tweets into a string."""
for t... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/twitter.html |
a63f55bcb4d0-2 | access_token=access_token,
access_token_secret=access_token_secret,
consumer_key=consumer_key,
consumer_secret=consumer_secret,
)
return cls(
auth_handler=auth,
twitter_users=twitter_users,
number_tweets=number_tweets,
)
By ... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/twitter.html |
d586f90851bd-0 | Source code for langchain.document_loaders.pyspark_dataframe
"""Load from a Spark Dataframe object"""
import itertools
import logging
import sys
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Tuple
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pyspark_dataframe.html |
d586f90851bd-1 | """Gets the amount of "feasible" rows for the DataFrame"""
try:
import psutil
except ImportError as e:
raise ImportError(
"psutil not installed. Please install it with `pip install psutil`."
) from e
row = self.df.limit(1).collect()[0]
... | rtdocs_stable/api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pyspark_dataframe.html |
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