id stringlengths 14 16 | text stringlengths 31 2.41k | source stringlengths 53 121 |
|---|---|---|
9a1d2e553f93-1 | metadata = {
"document_id": self.document_id,
"revision_id": metadata_json["data"]["document"]["revision_id"],
"title": metadata_json["data"]["document"]["title"],
}
yield Document(page_content=text, metadata=metadata)
[docs] def load(self) -> List[Document]:
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/larksuite.html |
caf184e16aa9-0 | 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 typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_playwright.html |
caf184e16aa9-1 | [docs] def load(self) -> List[Document]:
"""Load the specified URLs using Playwright and create Document instances.
Returns:
List[Document]: A list of Document instances with loaded content.
"""
from playwright.sync_api import sync_playwright
from unstructured.part... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_playwright.html |
aafca4d814ae-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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/joplin.html |
aafca4d814ae-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))
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/joplin.html |
aafca4d814ae-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()) | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/joplin.html |
e4de0e1c367c-0 | Source code for langchain.document_loaders.gcs_directory
"""Loading logic for loading documents from an GCS directory."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.gcs_file import GCSFileLoader
[docs]cl... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/gcs_directory.html |
7a6ff5df4fbd-0 | Source code for langchain.document_loaders.azure_blob_storage_container
"""Loading logic for loading documents from an Azure Blob Storage container."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/azure_blob_storage_container.html |
7b8a794f62ff-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/stable/_modules/langchain/document_loaders/url_selenium.html |
7b8a794f62ff-1 | raise ImportError(
"selenium package not found, please install it with "
"`pip install selenium`"
)
try:
import unstructured # noqa:F401
except ImportError:
raise ImportError(
"unstructured package not found, please ins... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_selenium.html |
7b8a794f62ff-2 | for arg in self.arguments:
firefox_options.add_argument(arg)
if self.headless:
firefox_options.add_argument("--headless")
if self.binary_location is not None:
firefox_options.binary_location = self.binary_location
if self.executable_pat... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/url_selenium.html |
94cf29987b3d-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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/snowflake_loader.html |
94cf29987b3d-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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/snowflake_loader.html |
94cf29987b3d-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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/snowflake_loader.html |
9e4d21fa36c4-0 | Source code for langchain.document_loaders.image_captions
"""
Loader that loads image captions
By default, the loader utilizes the pre-trained BLIP image captioning model.
https://huggingface.co/Salesforce/blip-image-captioning-base
"""
from typing import Any, List, Tuple, Union
import requests
from langchain.docstore.... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/image_captions.html |
9e4d21fa36c4-1 | model=model, processor=processor, path_image=path_image
)
doc = Document(page_content=caption, metadata=metadata)
results.append(doc)
return results
def _get_captions_and_metadata(
self, model: Any, processor: Any, path_image: str
) -> Tuple[str, dict]:
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/image_captions.html |
32161a964dc7-0 | 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/stable/_modules/langchain/document_loaders/wikipedia.html |
32161a964dc7-1 | 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/stable/_modules/langchain/document_loaders/wikipedia.html |
979cf654867e-0 | Source code for langchain.document_loaders.ifixit
"""Loader that loads iFixit data."""
from typing import List, Optional
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.web_base import WebBaseLoader
IFIXIT_BASE_URL =... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/ifixit.html |
979cf654867e-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/stable/_modules/langchain/document_loaders/ifixit.html |
979cf654867e-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/stable/_modules/langchain/document_loaders/ifixit.html |
979cf654867e-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/stable/_modules/langchain/document_loaders/ifixit.html |
979cf654867e-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/stable/_modules/langchain/document_loaders/ifixit.html |
e28d6ab03ca3-0 | Source code for langchain.document_loaders.docugami
"""Loader that loads processed documents from Docugami."""
import io
import logging
import os
import re
from pathlib import Path
from typing import Any, Dict, List, Mapping, Optional, Sequence, Union
import requests
from pydantic import BaseModel, root_validator
from ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-1 | if values.get("file_paths") and values.get("docset_id"):
raise ValueError("Cannot specify both file_paths and remote API docset_id")
if not values.get("file_paths") and not values.get("docset_id"):
raise ValueError("Must specify either file_paths or remote API docset_id")
if valu... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-2 | ancestor_chain = chunk.xpath("ancestor-or-self::*")
return "/" + "/".join(_xpath_qname_for_chunk(x) for x in ancestor_chain)
def _structure_value(node: Any) -> str:
"""Get the structure value for a node."""
structure = (
"table"
if node.tag == ... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-3 | """Create a Document from a node and text."""
metadata = {
XPATH_KEY: _xpath_for_chunk(node),
DOCUMENT_ID_KEY: document["id"],
DOCUMENT_NAME_KEY: document["name"],
STRUCTURE_KEY: node.attrib.get("structure", ""),
TAG_KEY: re.sub... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-4 | while url:
response = requests.get(
url,
headers={"Authorization": f"Bearer {self.access_token}"},
)
if response.ok:
data = response.json()
all_documents.extend(data["documents"])
url = data.get("next", N... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-5 | data={},
)
if response.ok:
data = response.json()
all_artifacts.extend(data["artifacts"])
url = data.get("next", None)
else:
raise Exception(
f"Failed to download {url} (status: {response.status_code}... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-6 | per_file_metadata[doc_id] = metadata
else:
raise Exception(
f"Failed to download {artifact_url}/content "
+ "(status: {response.status_code})"
)
return per_file_metadata
def _load_chunks_for_document(
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
e28d6ab03ca3-7 | for project in _project_details:
metadata = self._metadata_for_project(project)
combined_project_metadata.update(metadata)
for doc in _document_details:
doc_metadata = combined_project_metadata.get(doc["id"])
chunks += self._load_chunks... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/docugami.html |
f144e413b84f-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/stable/_modules/langchain/document_loaders/unstructured.html |
f144e413b84f-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/stable/_modules/langchain/document_loaders/unstructured.html |
f144e413b84f-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/stable/_modules/langchain/document_loaders/unstructured.html |
f144e413b84f-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/stable/_modules/langchain/document_loaders/unstructured.html |
f144e413b84f-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/stable/_modules/langchain/document_loaders/unstructured.html |
f144e413b84f-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/stable/_modules/langchain/document_loaders/unstructured.html |
2b4097ffc8b9-0 | 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/stable/_modules/langchain/document_loaders/telegram.html |
2b4097ffc8b9-1 | 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/stable/_modules/langchain/document_loaders/telegram.html |
2b4097ffc8b9-2 | [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/stable/_modules/langchain/document_loaders/telegram.html |
2b4097ffc8b9-3 | 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/stable/_modules/langchain/document_loaders/telegram.html |
2b4097ffc8b9-4 | 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/stable/_modules/langchain/document_loaders/telegram.html |
2b4097ffc8b9-5 | 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/stable/_modules/langchain/document_loaders/telegram.html |
3c8c047bba59-0 | 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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/rtf.html |
f0d0c60ff536-0 | 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/stable/_modules/langchain/document_loaders/bibtex.html |
f0d0c60ff536-1 | 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/stable/_modules/langchain/document_loaders/bibtex.html |
f0d0c60ff536-2 | 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/stable/_modules/langchain/document_loaders/bibtex.html |
993ddeb0a25c-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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/python.html |
be284d89e80b-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/stable/_modules/langchain/document_loaders/imsdb.html |
a95a386e2c60-0 | 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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bigquery.html |
a95a386e2c60-1 | 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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/bigquery.html |
00fa709a83cb-0 | Source code for langchain.document_loaders.tencent_cos_directory
"""Loading logic for loading documents from Tencent Cloud COS directory."""
from typing import Any, Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.tenc... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/tencent_cos_directory.html |
00fa709a83cb-1 | for content in contents:
if content["Key"].endswith("/"):
continue
loader = TencentCOSFileLoader(self.conf, self.bucket, content["Key"])
yield loader.load()[0] | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/tencent_cos_directory.html |
e8cd77322917-0 | Source code for langchain.document_loaders.tomarkdown
"""Loader that loads HTML to markdown using 2markdown."""
from __future__ import annotations
from typing import Iterator, List
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class ToMarkd... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/tomarkdown.html |
a26cb2f7b3ce-0 | Source code for langchain.document_loaders.org_mode
"""Loader that loads Org-Mode files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredOrgModeLoader(UnstructuredFileLoader):
"""Loader tha... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/org_mode.html |
e1712dd18747-0 | 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/stable/_modules/langchain/document_loaders/embaas.html |
e1712dd18747-1 | """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/stable/_modules/langchain/document_loaders/embaas.html |
e1712dd18747-2 | # Custom api parameters (create embeddings automatically)
from langchain.document_loaders.embaas import EmbaasBlobLoader
loader = EmbaasBlobLoader(
params={
"should_embed": True,
"model": "e5-large-v2",
"chunk_size": 256... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
e1712dd18747-3 | 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}",... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
e1712dd18747-4 | 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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
e1712dd18747-5 | 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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/embaas.html |
ea200a1c0fac-0 | Source code for langchain.document_loaders.csv_loader
import csv
from typing import Any, Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructure... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/csv_loader.html |
ea200a1c0fac-1 | with open(self.file_path, newline="", encoding=self.encoding) as csvfile:
csv_reader = csv.DictReader(csvfile, **self.csv_args) # type: ignore
for i, row in enumerate(csv_reader):
content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items())
try:
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/csv_loader.html |
5a8db107902d-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/stable/_modules/langchain/document_loaders/evernote.html |
5a8db107902d-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/stable/_modules/langchain/document_loaders/evernote.html |
5a8db107902d-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/stable/_modules/langchain/document_loaders/evernote.html |
5a8db107902d-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/stable/_modules/langchain/document_loaders/evernote.html |
c448481ccdfc-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/stable/_modules/langchain/document_loaders/slack_directory.html |
c448481ccdfc-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/stable/_modules/langchain/document_loaders/slack_directory.html |
c448481ccdfc-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/stable/_modules/langchain/document_loaders/slack_directory.html |
503e59428ab1-0 | 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/stable/_modules/langchain/document_loaders/mediawikidump.html |
503e59428ab1-1 | )
metadata = {"source": page.title}
docs.append(Document(page_content=text, metadata=metadata))
return docs | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/mediawikidump.html |
e388a7eba3da-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
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pyspark_dataframe.html |
e388a7eba3da-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]
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pyspark_dataframe.html |
2cc51adad95c-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/stable/_modules/langchain/document_loaders/text.html |
2cc51adad95c-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/stable/_modules/langchain/document_loaders/text.html |
4a161a0c809e-0 | Source code for langchain.document_loaders.rst
"""Loader that loads RST files."""
from typing import Any, List
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
validate_unstructured_version,
)
[docs]class UnstructuredRSTLoader(UnstructuredFileLoader):
"""Loader that uses unstruc... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/rst.html |
44b83eea280e-0 | Source code for langchain.document_loaders.max_compute
from __future__ import annotations
from typing import Any, Iterator, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.utilities.max_compute import MaxComputeAPIWrapper
[d... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/max_compute.html |
44b83eea280e-1 | given parameters.
Args:
query: SQL query to execute.
endpoint: MaxCompute endpoint.
project: A project is a basic organizational unit of MaxCompute, which is
similar to a database.
access_id: MaxCompute access ID. Should be passed in directly or se... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/max_compute.html |
d5a59d191c9d-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/stable/_modules/langchain/document_loaders/sitemap.html |
d5a59d191c9d-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/stable/_modules/langchain/document_loaders/sitemap.html |
d5a59d191c9d-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/stable/_modules/langchain/document_loaders/sitemap.html |
c7363dba0acb-0 | Source code for langchain.document_loaders.open_city_data
from typing import Iterator, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class OpenCityDataLoader(BaseLoader):
"""Loader that loads Open city data."""
def __init__(self, city_id: str,... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/open_city_data.html |
be79b95c6e75-0 | Source code for langchain.document_loaders.pdf
"""Loader that loads PDF files."""
import json
import logging
import os
import tempfile
import time
from abc import ABC
from io import StringIO
from pathlib import Path
from typing import Any, Iterator, List, Mapping, Optional
from urllib.parse import urlparse
import reque... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-1 | if not os.path.isfile(self.file_path) and self._is_valid_url(self.file_path):
r = requests.get(self.file_path)
if r.status_code != 200:
raise ValueError(
"Check the url of your file; returned status code %s"
% r.status_code
... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-2 | """
def __init__(self, file_path: str) -> None:
"""Initialize with file path."""
try:
import pypdf # noqa:F401
except ImportError:
raise ImportError(
"pypdf package not found, please install it with " "`pip install pypdf`"
)
self.p... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-3 | """
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.load_hidden = load_hidden
self.recursive = rec... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-4 | "`pip install pdfminer.six`"
)
super().__init__(file_path)
self.parser = PDFMinerParser()
[docs] def load(self) -> List[Document]:
"""Eagerly load the content."""
return list(self.lazy_load())
[docs] def lazy_load(
self,
) -> Iterator[Document]:
"""L... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-5 | [docs]class PyMuPDFLoader(BasePDFLoader):
"""Loader that uses PyMuPDF to load PDF files."""
def __init__(self, file_path: str) -> None:
"""Initialize with file path."""
try:
import fitz # noqa:F401
except ImportError:
raise ImportError(
"`PyMuPDF`... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-6 | self.should_clean_pdf = should_clean_pdf
@property
def headers(self) -> dict:
return {"app_id": self.mathpix_api_id, "app_key": self.mathpix_api_key}
@property
def url(self) -> str:
return "https://api.mathpix.com/v3/pdf"
@property
def data(self) -> dict:
options = {"conv... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-7 | self.wait_for_processing(pdf_id)
url = f"{self.url}/{pdf_id}.{self.processed_file_format}"
response = requests.get(url, headers=self.headers)
return response.content.decode("utf-8")
[docs] def clean_pdf(self, contents: str) -> str:
contents = "\n".join(
[line for line in c... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
be79b95c6e75-8 | "`pip install pdfplumber`"
)
super().__init__(file_path)
self.text_kwargs = text_kwargs or {}
[docs] def load(self) -> List[Document]:
"""Load file."""
parser = PDFPlumberParser(text_kwargs=self.text_kwargs)
blob = Blob.from_path(self.file_path)
return pars... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/pdf.html |
93a284c8c711-0 | 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... | https://api.python.langchain.com/en/stable/_modules/langchain/document_loaders/notion.html |
b87b57f834f0-0 | 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/stable/_modules/langchain/document_loaders/blockchain.html |
b87b57f834f0-1 | """
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/stable/_modules/langchain/document_loaders/blockchain.html |
b87b57f834f0-2 | 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/stable/_modules/langchain/document_loaders/blockchain.html |
b87b57f834f0-3 | 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/stable/_modules/langchain/document_loaders/blockchain.html |
a956ae3c2c32-0 | 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/stable/_modules/langchain/document_loaders/trello.html |
a956ae3c2c32-1 | 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/stable/_modules/langchain/document_loaders/trello.html |
a956ae3c2c32-2 | 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/stable/_modules/langchain/document_loaders/trello.html |
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