id stringlengths 14 15 | text stringlengths 44 2.47k | source stringlengths 61 181 |
|---|---|---|
0732117b3058-1 | f"&fields=id,parent_id,title,body,created_time,updated_time&page={{page}}"
)
self._get_folder_url = (
f"{base_url}/folders/{{id}}?token={access_token}&fields=title"
)
self._get_tag_url = (
f"{base_url}/notes/{{id}}/tags?token={access_token}&fields=title"
)... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
0732117b3058-2 | req_tag = urllib.request.Request(self._get_tag_url.format(id=note_id))
with urllib.request.urlopen(req_tag) as response:
json_data = json.loads(response.read().decode())
return [tag["title"] for tag in json_data["items"]]
def _convert_date(self, date: int) -> str:
return date... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/joplin.html |
4d2e002c67d5-0 | Source code for langchain.document_loaders.markdown
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredMarkdownLoader(UnstructuredFileLoader):
"""Load `Markdown` files using `Unstructured`.
You can run the loader in one of two modes: "singl... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html |
4d2e002c67d5-1 | f"You are on unstructured version {__unstructured_version__}. "
"Partitioning markdown files is only supported in unstructured>=0.4.16."
)
return partition_md(filename=self.file_path, **self.unstructured_kwargs) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/markdown.html |
8bc1403f7e6e-0 | Source code for langchain.document_loaders.notion
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):
"""Load `Notion directory` dump."""
[docs] def __init__(self, p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/notion.html |
7340b5284f2c-0 | Source code for langchain.document_loaders.airtable
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class AirtableLoader(BaseLoader):
"""Load the `Airtable` tables."""
[docs] def __init__(self, api_token: str, table_i... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airtable.html |
37a2e62b50a1-0 | 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"""
[docs] def __init__(self, loaders: List... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/merge.html |
3a52aa78bea0-0 | Source code for langchain.document_loaders.directory
import concurrent
import logging
import random
from pathlib import Path
from typing import Any, List, Optional, Type, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.html_bs... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
3a52aa78bea0-1 | glob: Glob pattern to use to find files. Defaults to "**/[!.]*"
(all files except hidden).
silent_errors: Whether to silently ignore errors. Defaults to False.
load_hidden: Whether to load hidden files. Defaults to False.
loader_cls: Loader class to use for loading fil... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
3a52aa78bea0-2 | ) -> None:
"""Load a file.
Args:
item: File path.
path: Directory path.
docs: List of documents to append to.
pbar: Progress bar. Defaults to None.
"""
if item.is_file():
if _is_visible(item.relative_to(path)) or self.load_hidde... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
3a52aa78bea0-3 | except ImportError as e:
logger.warning(
"To log the progress of DirectoryLoader you need to install tqdm, "
"`pip install tqdm`"
)
if self.silent_errors:
logger.warning(e)
else:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
75e22491c889-0 | 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://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
75e22491c889-1 | import selenium # noqa:F401
except ImportError:
raise ImportError(
"selenium package not found, please install it with "
"`pip install selenium`"
)
try:
import unstructured # noqa:F401
except ImportError:
raise Imp... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
75e22491c889-2 | elif self.browser.lower() == "firefox":
from selenium.webdriver import Firefox
from selenium.webdriver.firefox.options import Options as FirefoxOptions
from selenium.webdriver.firefox.service import Service
firefox_options = FirefoxOptions()
for arg in self.ar... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
72543fc87d30-0 | Source code for langchain.document_loaders.larksuite
import json
import urllib.request
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class LarkSuiteDocLoader(BaseLoader):
"""Load from `LarkSuite` (`FeiShu`)."""
[d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/larksuite.html |
72543fc87d30-1 | f"{api_url_prefix}/{self.document_id}/raw_content"
)
text = raw_content_json["data"]["content"]
metadata = {
"document_id": self.document_id,
"revision_id": metadata_json["data"]["document"]["revision_id"],
"title": metadata_json["data"]["document"]["title"],
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/larksuite.html |
082a5f10fe0e-0 | Source code for langchain.document_loaders.apify_dataset
from typing import Any, Callable, Dict, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.pydantic_v1 import BaseModel, root_validator
[docs]class ApifyDatasetLoader(BaseLoader, BaseModel):... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html |
082a5f10fe0e-1 | dictionary (an Apify dataset item) and converts it to an instance
of the Document class.
"""
super().__init__(
dataset_id=dataset_id, dataset_mapping_function=dataset_mapping_function
)
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/apify_dataset.html |
e2a2bfb403f0-0 | Source code for langchain.document_loaders.rss
import logging
from typing import Any, Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.news import NewsURLLoader
logger = logging.getLogger(__name__)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rss.html |
e2a2bfb403f0-1 | https://newspaper.readthedocs.io/en/latest/
""" # noqa: E501
[docs] def __init__(
self,
urls: Optional[Sequence[str]] = None,
opml: Optional[str] = None,
continue_on_failure: bool = True,
show_progress_bar: bool = False,
**newsloader_kwargs: Any,
) -> None:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rss.html |
e2a2bfb403f0-2 | "Please install with 'pip install listparser' or use the "
"urls arg instead."
) from e
rss = listparser.parse(self.opml)
return [feed.url for feed in rss.feeds]
[docs] def lazy_load(self) -> Iterator[Document]:
try:
import feedparser # noqa:F401
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/rss.html |
e0a38de9abb7-0 | 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 |
e0a38de9abb7-1 | """Initialize with file path."""
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"],
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
e0a38de9abb7-2 | if elem.tag == "data":
# Sometimes elem.text is None
rsc_dict[elem.tag] = b64decode(elem.text) if elem.text else b""
rsc_dict["hash"] = hashlib.md5(rsc_dict[elem.tag]).hexdigest()
else:
rsc_dict[elem.tag] = elem.text
return rsc_dict
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
e0a38de9abb7-3 | @staticmethod
def _parse_note_xml(xml_file: str) -> Iterator[Dict[str, Any]]:
"""Parse Evernote xml."""
# 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 def... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
c83e57c576dc-0 | Source code for langchain.document_loaders.twitter
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_CHECKING:
import tweepy
fro... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
c83e57c576dc-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... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
c83e57c576dc-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,
) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
41a34ea588f8-0 | Source code for langchain.document_loaders.excel
"""Loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredExcelLoader(UnstructuredFileLoader):
"""Load Microsoft Excel... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/excel.html |
41a34ea588f8-1 | from unstructured.partition.xlsx import partition_xlsx
return partition_xlsx(filename=self.file_path, **self.unstructured_kwargs) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/excel.html |
c7247b1b9e68-0 | Source code for langchain.document_loaders.azure_blob_storage_container
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader,
)
from langchain.document_loaders.base import BaseLoader
[docs]class AzureBlob... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_container.html |
ee87fd53d108-0 | Source code for langchain.document_loaders.xml
"""Loads Microsoft Excel files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredXMLLoader(UnstructuredFileLoader):
"""Load `XML` file using `U... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/xml.html |
8ac7302f0c20-0 | Source code for langchain.document_loaders.pdf
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, Dict, Iterator, List, Mapping, Optional, Sequence, Union
from urllib.parse import urlparse
import requests
from lan... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-1 | """
def _get_elements(self) -> List:
from unstructured.partition.pdf import partition_pdf
return partition_pdf(filename=self.file_path, **self.unstructured_kwargs)
[docs]class BasePDFLoader(BaseLoader, ABC):
"""Base Loader class for `PDF` files.
If the file is a web path, it will download it... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-2 | % r.status_code
)
with open(temp_pdf, mode="wb") as f:
f.write(r.content)
self.file_path = str(temp_pdf)
elif not os.path.isfile(self.file_path):
raise ValueError("File path %s is not a valid file or url" % self.file_path)
d... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-3 | headers: Optional[Dict] = None,
) -> None:
"""Initialize with a file path."""
try:
import pypdf # noqa:F401
except ImportError:
raise ImportError(
"pypdf package not found, please install it with " "`pip install pypdf`"
)
self.pars... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-4 | Loader also stores page numbers in metadata.
"""
[docs] def __init__(
self,
path: str,
glob: str = "**/[!.]*.pdf",
silent_errors: bool = False,
load_hidden: bool = False,
recursive: bool = False,
):
self.path = path
self.glob = glob
self... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-5 | except ImportError:
raise ImportError(
"`pdfminer` package not found, please install it with "
"`pip install pdfminer.six`"
)
super().__init__(file_path, headers=headers)
self.parser = PDFMinerParser()
[docs] def load(self) -> List[Document]:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-6 | codec="",
laparams=LAParams(),
output_type="html",
)
metadata = {"source": self.file_path}
return [Document(page_content=output_string.getvalue(), metadata=metadata)]
[docs]class PyMuPDFLoader(BasePDFLoader):
"""Load `PDF` files using `PyMuPDF`."""
[docs] ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-7 | Args:
file_path: a file for loading.
processed_file_format: a format of the processed file. Default is "md".
max_wait_time_seconds: a maximum time to wait for the response from
the server. Default is 500.
should_clean_pdf: a flag to clean the PDF file. Defaul... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-8 | response_data = response.json()
if "pdf_id" in response_data:
pdf_id = response_data["pdf_id"]
return pdf_id
else:
raise ValueError("Unable to send PDF to Mathpix.")
[docs] def wait_for_processing(self, pdf_id: str) -> None:
"""Wait for processing to comple... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-9 | contents = contents.replace("\\section{", "# ").replace("}", "")
# replace the "\" slash that Mathpix adds to escape $, %, (, etc.
contents = (
contents.replace(r"\$", "$")
.replace(r"\%", "%")
.replace(r"\(", "(")
.replace(r"\)", ")")
)
re... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-10 | blob = Blob.from_path(self.file_path)
return parser.parse(blob)
[docs]class AmazonTextractPDFLoader(BasePDFLoader):
"""Load `PDF` files from a local file system, HTTP or S3.
To authenticate, the AWS client uses the following methods to
automatically load credentials:
https://boto3.amazonaws.com/... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-11 | client: boto3 textract client (Optional)
credentials_profile_name: AWS profile name, if not default (Optional)
region_name: AWS region, eg us-east-1 (Optional)
endpoint_url: endpoint url for the textract service (Optional)
"""
super().__init__(file_path, headers=heade... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-12 | "profile name are valid."
) from e
self.parser = AmazonTextractPDFParser(textract_features=features, client=client)
[docs] def load(self) -> List[Document]:
"""Load given path as pages."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[D... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-13 | return len(pdf_reader.pages)
elif blob.mimetype == "image/tiff":
num_pages = 0
img = Image.open(blob.as_bytes())
for _, _ in enumerate(ImageSequence.Iterator(img)):
num_pages += 1
return num_pages
elif blob.mimetype in ["image/png", "image/... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
8ac7302f0c20-14 | super().__init__(file_path, headers=headers)
[docs] def load(self) -> List[Document]:
"""Load given path as pages."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""Lazy load given path as pages."""
blob = Blob.from_path(self.file_... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pdf.html |
31ced9d1664e-0 | Source code for langchain.document_loaders.pubmed
from typing import Iterator, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.pubmed import PubMedAPIWrapper
[docs]class PubMedLoader(BaseLoader):
"""Load from the `PubMed... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/pubmed.html |
6bddade94e1d-0 | Source code for langchain.document_loaders.arcgis_loader
"""Document Loader for ArcGIS FeatureLayers."""
from __future__ import annotations
import json
import re
import warnings
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Union
from langchain.docstore.documen... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/arcgis_loader.html |
6bddade94e1d-1 | else:
self.url = layer.url
self.layer = layer
self.layer_properties = self._get_layer_properties(lyr_desc)
self.where = where
if isinstance(out_fields, str):
self.out_fields = out_fields
elif out_fields is None:
self.out_fields = "*"
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/arcgis_loader.html |
6bddade94e1d-2 | item_desc = item_desc or _NOT_PROVIDED
except KeyError:
item_desc = _NOT_PROVIDED
return {
"layer_description": lyr_desc,
"item_description": item_desc,
"layer_properties": props,
}
[docs] def lazy_load(self) -> Iterator[Document]:
"""La... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/arcgis_loader.html |
83f11042527c-0 | Source code for langchain.document_loaders.discord
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 DiscordChatLoader(BaseLoader):
""... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/discord.html |
16384366aac4-0 | Source code for langchain.document_loaders.roam
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):
"""Load `Roam` files from a directory."""
[docs] def __init__(self, path: st... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/roam.html |
147c2e679e20-0 | Source code for langchain.document_loaders.datadog_logs
from datetime import datetime, timedelta
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DatadogLogsLoader(BaseLoader):
"""Load `Datadog` logs.
Logs are w... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/datadog_logs.html |
147c2e679e20-1 | raise ImportError(
"Could not import datadog_api_client python package. "
"Please install it with `pip install datadog_api_client`."
) from ex
self.query = query
configuration = Configuration()
configuration.api_key["apiKeyAuth"] = api_key
conf... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/datadog_logs.html |
147c2e679e20-2 | from datadog_api_client.v2.api.logs_api import LogsApi
from datadog_api_client.v2.model.logs_list_request import LogsListRequest
from datadog_api_client.v2.model.logs_list_request_page import (
LogsListRequestPage,
)
from datadog_api_client.v2.model.logs_q... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/datadog_logs.html |
6af616e41fbd-0 | Source code for langchain.document_loaders.onedrive
"""Loads data from OneDrive"""
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Iterator, List, Optional, Sequence, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base_o365 import (
O365Bas... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
6af616e41fbd-1 | located at the specified path.
Raises:
FileNotFoundError: If the path does not exist.
"""
subfolder_drive = drive
if self.folder_path is None:
return subfolder_drive
subfolders = [f for f in self.folder_path.split("/") if f != ""]
if len(subfolders... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
6af616e41fbd-2 | """Load all documents."""
return list(self.lazy_load()) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
2435ee690776-0 | Source code for langchain.document_loaders.chromium
import asyncio
import logging
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
[docs]class AsyncChromiumLoader(BaseLoader):
"""Scrape HTML... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chromium.html |
2435ee690776-1 | logger.info("Content scraped")
except Exception as e:
results = f"Error: {e}"
await browser.close()
return results
[docs] def lazy_load(self) -> Iterator[Document]:
"""
Lazily load text content from the provided URLs.
This method yields Document... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/chromium.html |
adfe36d488f5-0 | Source code for langchain.document_loaders.nuclia
import json
import uuid
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.tools.nuclia.tool import NucliaUnderstandingAPI
[docs]class NucliaLoader(BaseLoader):
"""Load from ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/nuclia.html |
5f2ec46a489f-0 | Source code for langchain.document_loaders.org_mode
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredOrgModeLoader(UnstructuredFileLoader):
"""Load `Org-Mode` files using `Unstructured`.
Yo... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/org_mode.html |
5f2ec46a489f-1 | from unstructured.partition.org import partition_org
return partition_org(filename=self.file_path, **self.unstructured_kwargs) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/org_mode.html |
be0ddfec41bd-0 | Source code for langchain.document_loaders.json_loader
import json
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class JSONLoader(BaseLoader):
"""Load a `JSON` file ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
be0ddfec41bd-1 | json_lines (bool): Boolean flag to indicate whether the input is in
JSON Lines format.
"""
try:
import jq # noqa:F401
except ImportError:
raise ImportError(
"jq package not found, please install it with `pip install jq`"
)
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
be0ddfec41bd-2 | text = self._get_text(sample=sample)
metadata = self._get_metadata(
sample=sample, source=str(self.file_path), seq_num=i
)
docs.append(Document(page_content=text, metadata=metadata))
def _get_text(self, sample: Any) -> str:
"""Convert sample to string form... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
be0ddfec41bd-3 | if not isinstance(sample, dict):
raise ValueError(
f"Expected the jq schema to result in a list of objects (dict), \
so sample must be a dict but got `{type(sample)}`"
)
if sample.get(self._content_key) is None:
raise ValueError(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
4450488a98e6-0 | Source code for langchain.document_loaders.geodataframe
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GeoDataFrameLoader(BaseLoader):
"""Load `geopandas` Dataframe."""
[docs] def __init__(self, data_frame... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/geodataframe.html |
4450488a98e6-1 | # assumes all geometries in GeoSeries are same CRS and Geom Type
crs_str = self.data_frame.crs.to_string() if self.data_frame.crs else None
geometry_type = self.data_frame.geometry.geom_type.iloc[0]
for _, row in self.data_frame.iterrows():
geom = row[self.page_content_column]
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/geodataframe.html |
cfe012cd5a4d-0 | Source code for langchain.document_loaders.s3_directory
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.s3_file import S3FileLoader
if TYPE_C... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
cfe012cd5a4d-1 | :param use_ssl: Whether to use SSL. By default, SSL is used.
Note that not all services support non-ssl connections.
:param verify: Whether to verify SSL certificates.
By default SSL certificates are verified. You can provide the
following values:
* False - do n... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
cfe012cd5a4d-2 | :param boto_config: Advanced boto3 client configuration options. If a value
is specified in the client config, its value will take precedence
over environment variables and configuration values, but not over
a value passed explicitly to the method. If a default config
obj... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
cfe012cd5a4d-3 | loader = S3FileLoader(
self.bucket,
obj.key,
region_name=self.region_name,
api_version=self.api_version,
use_ssl=self.use_ssl,
verify=self.verify,
endpoint_url=self.endpoint_url,
aws_access_ke... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/s3_directory.html |
6ee43d233eed-0 | Source code for langchain.document_loaders.image_captions
from typing import Any, List, Tuple, Union
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ImageCaptionLoader(BaseLoader):
"""Load image captions.
By default, the loader ... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html |
6ee43d233eed-1 | results = []
for path_image in self.image_paths:
caption, metadata = self._get_captions_and_metadata(
model=model, processor=processor, path_image=path_image
)
doc = Document(page_content=caption, metadata=metadata)
results.append(doc)
retu... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/image_captions.html |
c820fb4c6caa-0 | Source code for langchain.document_loaders.url_playwright
"""Loader that uses Playwright to load a page, then uses unstructured to load the html.
"""
import logging
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, List, Optional
from langchain.docstore.document import Document
from langchain.docume... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
c820fb4c6caa-1 | text: The text content of the page.
"""
pass
[docs]class UnstructuredHtmlEvaluator(PlaywrightEvaluator):
"""Evaluates the page HTML content using the `unstructured` library."""
[docs] def __init__(self, remove_selectors: Optional[List[str]] = None):
"""Initialize UnstructuredHtmlEvaluator... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
c820fb4c6caa-2 | page_source = await page.content()
elements = partition_html(text=page_source)
return "\n\n".join([str(el) for el in elements])
[docs]class PlaywrightURLLoader(BaseLoader):
"""Load `HTML` pages with `Playwright` and parse with `Unstructured`.
This is useful for loading pages that require javascr... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
c820fb4c6caa-3 | """Load the specified URLs using Playwright and create Document instances.
Returns:
List[Document]: A list of Document instances with loaded content.
"""
from playwright.sync_api import sync_playwright
docs: List[Document] = list()
with sync_playwright() as p:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
c820fb4c6caa-4 | raise ValueError(f"page.goto() returned None for url {url}")
text = await self.evaluator.evaluate_async(page, browser, response)
metadata = {"source": url}
docs.append(Document(page_content=text, metadata=metadata))
except Exception as e:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
60672482f2ec-0 | Source code for langchain.document_loaders.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 langchain.utils import get_from_env, stringify_value
MO... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
60672482f2ec-1 | resource: str,
organization_id: Optional[str] = None,
api_key: Optional[str] = None,
) -> None:
"""
Args:
resource: The Modern Treasury resource to load.
organization_id: The Modern Treasury organization ID. It can also be
specified via the envi... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
9c8cf2637bc2-0 | Source code for langchain.document_loaders.dataframe
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BaseDataFrameLoader(BaseLoader):
[docs] def __init__(self, data_frame: Any, *, page_content_column: str = "te... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
9c8cf2637bc2-1 | if not isinstance(data_frame, pd.DataFrame):
raise ValueError(
f"Expected data_frame to be a pd.DataFrame, got {type(data_frame)}"
)
super().__init__(data_frame, page_content_column=page_content_column) | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
aaeb9af0431c-0 | Source code for langchain.document_loaders.epub
from typing import List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
[docs]class UnstructuredEPubLoader(UnstructuredFileLoader):
"""Load `EPub` files using `Unstructured`.
You can run t... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/epub.html |
dc2a85938d89-0 | Source code for langchain.document_loaders.psychic
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class PsychicLoader(BaseLoader):
"""Load from `Psychic.dev`."""
[docs] def __init__(
self, api_key: str, accou... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/psychic.html |
f2e10c08ef33-0 | Source code for langchain.document_loaders.etherscan
import os
import re
from typing import Iterator, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class EtherscanLoader(BaseLoader):
"""Load transactions from `Ethereum` mainnet.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
f2e10c08ef33-1 | ]:
raise ValueError(f"Invalid filter {filter}")
[docs] def lazy_load(self) -> Iterator[Document]:
"""Lazy load Documents from table."""
result = []
if self.filter == "normal_transaction":
result = self.getNormTx()
elif self.filter == "internal_transaction":
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
f2e10c08ef33-2 | if len(items) == 0:
return [Document(page_content="")]
for item in items:
content = str(item)
metadata = {"from": item["from"], "tx_hash": item["hash"], "to": item["to"]}
result.append(Document(page_content=content, metadata=metadata))
print(len(result))
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
f2e10c08ef33-3 | for item in items:
content = str(item)
metadata = {"from": item["from"], "tx_hash": item["hash"], "to": item["to"]}
result.append(Document(page_content=content, metadata=metadata))
return result
[docs] def getERC20Tx(self) -> List[Document]:
url = (
f"h... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
f2e10c08ef33-4 | )
try:
response = requests.get(url)
response.raise_for_status()
except requests.exceptions.RequestException as e:
print("Error occurred while making the request:", e)
items = response.json()["result"]
result = []
if len(items) == 0:
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/etherscan.html |
995aa1272f5a-0 | Source code for langchain.document_loaders.async_html
import asyncio
import logging
import warnings
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict, Iterator, List, Optional, Union, cast
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.documen... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
995aa1272f5a-1 | self.web_paths = web_path
headers = header_template or default_header_template
if not headers.get("User-Agent"):
try:
from fake_useragent import UserAgent
headers["User-Agent"] = UserAgent().random
except ImportError:
logger.info(
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
995aa1272f5a-2 | )
await asyncio.sleep(cooldown * backoff**i)
raise ValueError("retry count exceeded")
async def _fetch_with_rate_limit(
self, url: str, semaphore: asyncio.Semaphore
) -> str:
async with semaphore:
return await self._fetch(url)
[docs] async def fetch... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
995aa1272f5a-3 | results = future.result()
except RuntimeError:
results = asyncio.run(self.fetch_all(self.web_paths))
docs = []
for i, text in enumerate(cast(List[str], results)):
metadata = {"source": self.web_paths[i]}
docs.append(Document(page_content=text, metadata=metadat... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/async_html.html |
304510f02b91-0 | Source code for langchain.document_loaders.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.
It loads data from either main page results or the comments p... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
304510f02b91-1 | ranking = lineItem.select_one("span[class='rank']").text
link = lineItem.find("span", {"class": "titleline"}).find("a").get("href")
title = lineItem.find("span", {"class": "titleline"}).text.strip()
metadata = {
"source": self.web_path,
"title": title,... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
50bfdee85d1c-0 | Source code for langchain.document_loaders.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 langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from la... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
50bfdee85d1c-1 | """The minimum chunk size to use when parsing DGML. Defaults to 32."""
@root_validator
def validate_local_or_remote(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate that either local file paths are given, or remote API docset ID.
Args:
values: The values to validate.
... | https://api.python.langchain.com/en/latest/_modules/langchain/document_loaders/docugami.html |
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