id stringlengths 14 16 | text stringlengths 36 2.73k | source stringlengths 49 117 |
|---|---|---|
402ab27790f3-1 | def input_variables(self) -> List[str]:
"""Input variables for this prompt template."""
return [self.variable_name]
MessagePromptTemplateT = TypeVar(
"MessagePromptTemplateT", bound="BaseStringMessagePromptTemplate"
)
class BaseStringMessagePromptTemplate(BaseMessagePromptTemplate, ABC):
prompt:... | https://python.langchain.com/en/latest/_modules/langchain/prompts/chat.html |
402ab27790f3-2 | def format(self, **kwargs: Any) -> BaseMessage:
text = self.prompt.format(**kwargs)
return HumanMessage(content=text, additional_kwargs=self.additional_kwargs)
class AIMessagePromptTemplate(BaseStringMessagePromptTemplate):
def format(self, **kwargs: Any) -> BaseMessage:
text = self.prompt.f... | https://python.langchain.com/en/latest/_modules/langchain/prompts/chat.html |
402ab27790f3-3 | def from_template(cls, template: str, **kwargs: Any) -> ChatPromptTemplate:
prompt_template = PromptTemplate.from_template(template, **kwargs)
message = HumanMessagePromptTemplate(prompt=prompt_template)
return cls.from_messages([message])
@classmethod
def from_role_strings(
cls,... | https://python.langchain.com/en/latest/_modules/langchain/prompts/chat.html |
402ab27790f3-4 | if isinstance(message_template, BaseMessage):
result.extend([message_template])
elif isinstance(message_template, BaseMessagePromptTemplate):
rel_params = {
k: v
for k, v in kwargs.items()
if k in message_template.in... | https://python.langchain.com/en/latest/_modules/langchain/prompts/chat.html |
52bf9e3b6ba9-0 | Source code for langchain.prompts.example_selector.semantic_similarity
"""Example selector that selects examples based on SemanticSimilarity."""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Type
from pydantic import BaseModel, Extra
from langchain.embeddings.base import Embeddings
fr... | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/semantic_similarity.html |
52bf9e3b6ba9-1 | return ids[0]
[docs] def select_examples(self, input_variables: Dict[str, str]) -> List[dict]:
"""Select which examples to use based on semantic similarity."""
# Get the docs with the highest similarity.
if self.input_keys:
input_variables = {key: input_variables[key] for key in s... | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/semantic_similarity.html |
52bf9e3b6ba9-2 | instead of all variables.
vectorstore_cls_kwargs: optional kwargs containing url for vector store
Returns:
The ExampleSelector instantiated, backed by a vector store.
"""
if input_keys:
string_examples = [
" ".join(sorted_values({k: eg[k] for k... | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/semantic_similarity.html |
52bf9e3b6ba9-3 | examples = [dict(e.metadata) for e in example_docs]
# If example keys are provided, filter examples to those keys.
if self.example_keys:
examples = [{k: eg[k] for k in self.example_keys} for eg in examples]
return examples
[docs] @classmethod
def from_examples(
cls,
... | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/semantic_similarity.html |
52bf9e3b6ba9-4 | string_examples, embeddings, metadatas=examples, **vectorstore_cls_kwargs
)
return cls(vectorstore=vectorstore, k=k, fetch_k=fetch_k, input_keys=input_keys)
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/semantic_similarity.html |
dc681df221f6-0 | Source code for langchain.prompts.example_selector.length_based
"""Select examples based on length."""
import re
from typing import Callable, Dict, List
from pydantic import BaseModel, validator
from langchain.prompts.example_selector.base import BaseExampleSelector
from langchain.prompts.prompt import PromptTemplate
d... | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/length_based.html |
dc681df221f6-1 | get_text_length = values["get_text_length"]
string_examples = [example_prompt.format(**eg) for eg in values["examples"]]
return [get_text_length(eg) for eg in string_examples]
[docs] def select_examples(self, input_variables: Dict[str, str]) -> List[dict]:
"""Select which examples to use base... | https://python.langchain.com/en/latest/_modules/langchain/prompts/example_selector/length_based.html |
cfb279d752a3-0 | 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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte_json.html |
ecef14e09301-0 | 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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
ecef14e09301-1 | 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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html |
84f09e09d179-0 | 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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
84f09e09d179-1 | self,
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_k... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/modern_treasury.html |
9df16963b9f4-0 | Source code for langchain.document_loaders.bigquery
from typing import List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class BigQueryLoader(BaseLoader):
"""Loads a query result from BigQuery into a list of documents.
Each document repr... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html |
9df16963b9f4-1 | metadata_columns = []
for row in query_result:
page_content = "\n".join(
f"{k}: {v}" for k, v in row.items() if k in page_content_columns
)
metadata = {k: v for k, v in row.items() if k in metadata_columns}
doc = Document(page_content=page_content,... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/bigquery.html |
379e2e290a0c-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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
379e2e290a0c-1 | try:
from bs4 import BeautifulSoup
except ImportError:
raise ImportError(
"Could not import python packages. "
"Please install it with `pip install beautifulsoup4`. "
)
try:
_ = BeautifulSoup(
"<html><body>Pa... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
379e2e290a0c-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 M... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/readthedocs.html |
678139419568-0 | Source code for langchain.document_loaders.chatgpt
"""Load conversations from ChatGPT data export"""
import datetime
import json
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(message: dict, title: str) -> str:
if ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
678139419568-1 | documents.append(Document(page_content=text, metadata=metadata))
return documents
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/chatgpt.html |
df2908814d5a-0 | Source code for langchain.document_loaders.powerpoint
"""Loader that loads powerpoint files."""
import os
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredPowerPointLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load powe... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html |
df2908814d5a-1 | return partition_pptx(filename=self.file_path, **self.unstructured_kwargs)
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html |
9a26643a646a-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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/epub.html |
e68b9d12e7f4-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/python.html |
7d7610843652-0 | 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_... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/azure_blob_storage_file.html |
231e60f86bc9-0 | Source code for langchain.document_loaders.git
import os
from typing import Callable, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GitLoader(BaseLoader):
"""Loads files from a Git repository into a list of documents.
Repositor... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html |
231e60f86bc9-1 | else:
repo = Repo(self.repo_path)
repo.git.checkout(self.branch)
docs: List[Document] = []
for item in repo.tree().traverse():
if not isinstance(item, Blob):
continue
file_path = os.path.join(self.repo_path, item.path)
ignored_f... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/git.html |
b9e125f58e77-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
b9e125f58e77-1 | 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 May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/text.html |
3166288bef6d-0 | Source code for langchain.document_loaders.image
"""Loader that loads image files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredImageLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load image files, such as PNGs and... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/image.html |
fe34b5397f6d-0 | Source code for langchain.document_loaders.srt
"""Loader for .srt (subtitle) files."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class SRTLoader(BaseLoader):
"""Loader for .srt (subtitle) files."""
def __init__(self, fil... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/srt.html |
0e627a9ad8f5-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
0e627a9ad8f5-1 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
0e627a9ad8f5-2 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_selenium.html |
47b59b488816-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/notion.html |
0bd0b4b9b25f-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://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
0bd0b4b9b25f-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://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
0bd0b4b9b25f-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://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
0bd0b4b9b25f-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://python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html |
8f6d2961c017-0 | Source code for langchain.document_loaders.reddit
"""Reddit document loader."""
from __future__ import annotations
from typing import TYPE_CHECKING, Iterable, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE_CHECKING:
import pra... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
8f6d2961c017-1 | if self.mode == "subreddit":
for search_query in self.search_queries:
for category in self.categories:
docs = self._subreddit_posts_loader(
search_query=search_query, category=category, reddit=reddit
)
result... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
8f6d2961c017-2 | method = getattr(user.submissions, category)
cat_posts = method(limit=self.number_posts)
"""Format reddit posts into a string."""
for post in cat_posts:
metadata = {
"post_subreddit": post.subreddit_name_prefixed,
"post_category": category,
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/reddit.html |
7d64ef62c9d4-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
7d64ef62c9d4-1 | [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://python.langchain.com/en/latest/_modules/langchain/document_loaders/url_playwright.html |
707e101e76da-0 | Source code for langchain.document_loaders.mastodon
"""Mastodon document loader."""
from __future__ import annotations
import os
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
if TYPE... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/mastodon.html |
707e101e76da-1 | access_token = access_token or os.environ.get("MASTODON_ACCESS_TOKEN")
self.api = mastodon.Mastodon(
access_token=access_token, api_base_url=api_base_url
)
self.mastodon_accounts = mastodon_accounts
self.number_toots = number_toots
self.exclude_replies = exclude_repli... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/mastodon.html |
2565125e5bd1-0 | 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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
2565125e5bd1-1 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
2565125e5bd1-2 | 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 ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/twitter.html |
040f944f4cab-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://python.langchain.com/en/latest/_modules/langchain/document_loaders/gcs_directory.html |
3b0985083f65-0 | Source code for langchain.document_loaders.html
"""Loader that uses unstructured to load HTML files."""
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredHTMLLoader(UnstructuredFileLoader):
"""Loader that uses unstructured to load HTML files."... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html.html |
ce3de6168213-0 | Source code for langchain.document_loaders.confluence
"""Load Data from a Confluence Space"""
import logging
from io import BytesIO
from typing import Any, Callable, List, Optional, Union
from tenacity import (
before_sleep_log,
retry,
stop_after_attempt,
wait_exponential,
)
from langchain.docstore.docu... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-1 | :param url: _description_
:type url: str
:param api_key: _description_, defaults to None
:type api_key: str, optional
:param username: _description_, defaults to None
:type username: str, optional
:param oauth2: _description_, defaults to {}
:type oauth2: dict, optional
:param cloud: _de... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-2 | if errors:
raise ValueError(f"Error(s) while validating input: {errors}")
self.base_url = url
self.number_of_retries = number_of_retries
self.min_retry_seconds = min_retry_seconds
self.max_retry_seconds = max_retry_seconds
try:
from atlassian import Conflu... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-3 | "`username` and provide a value for `oauth2`"
)
if oauth2 and oauth2.keys() != [
"access_token",
"access_token_secret",
"consumer_key",
"key_cert",
]:
errors.append(
"You have either ommited require keys or added ext... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-4 | :type include_restricted_content: bool, optional
:param include_archived_content: Whether to include archived content,
defaults to False
:type include_archived_content: bool, optional
:param include_attachments: defaults to False
:type include_att... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-5 | )
ids_by_label = [page["id"] for page in pages]
if page_ids:
page_ids = list(set(page_ids + ids_by_label))
else:
page_ids = list(set(ids_by_label))
if cql:
pages = self.paginate_request(
self.confluence.cql,
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-6 | Unfortunately, due to page size, sometimes the Confluence API
doesn't match the limit value. If `limit` is >100 confluence
seems to cap the response to 100. Also, due to the Atlassian Python
package, we don't get the "next" values from the "_links" key because
they only return the value... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-7 | break
docs.extend(batch)
return docs[:max_pages]
[docs] def is_public_page(self, page: dict) -> bool:
"""Check if a page is publicly accessible."""
restrictions = self.confluence.get_all_restrictions_for_content(page["id"])
return (
page["status"] == "current"
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-8 | ).get_text() + "".join(attachment_texts)
if include_comments:
comments = self.confluence.get_page_comments(
page["id"], expand="body.view.value", depth="all"
)["results"]
comment_texts = [
BeautifulSoup(comment["body"]["view"]["value"], "lxml")... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-9 | elif (
media_type == "application/vnd.openxmlformats-officedocument"
".wordprocessingml.document"
):
text = title + self.process_doc(absolute_url)
elif media_type == "application/vnd.ms-excel":
text = title + self.process_xls(absolu... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-10 | "`pytesseract` or `Pillow` package not found, "
"please run `pip install pytesseract Pillow`"
)
response = self.confluence.request(path=link, absolute=True)
text = ""
if (
response.status_code != 200
or response.content == b""
or re... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
ce3de6168213-11 | ):
return text
workbook = xlrd.open_workbook(file_contents=response.content)
for sheet in workbook.sheets():
text += f"{sheet.name}:\n"
for row in range(sheet.nrows):
for col in range(sheet.ncols):
text += f"{sheet.cell_value(row, c... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/confluence.html |
df9d1dd7e1b0-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
df9d1dd7e1b0-1 | channel_name = Path(channel_path).parent.name
if not channel_name:
continue
if channel_path.endswith(".json"):
messages = self._read_json(zip_file, channel_path)
for message in messages:
document = self._... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
df9d1dd7e1b0-2 | "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://python.langchain.com/en/latest/_modules/langchain/document_loaders/slack_directory.html |
1d8ad3aa321c-0 | Source code for langchain.document_loaders.hn
"""Loader that loads HN."""
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.web_base import WebBaseLoader
[docs]class HNLoader(WebBaseLoader):
"""Load Hacker News data from either main page results or the com... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
1d8ad3aa321c-1 | title = lineItem.find("span", {"class": "titleline"}).text.strip()
metadata = {
"source": self.web_path,
"title": title,
"link": link,
"ranking": ranking,
}
documents.append(
Document(
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/hn.html |
8e984efa9e74-0 | Source code for langchain.document_loaders.gutenberg
"""Loader that loads .txt web files."""
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class GutenbergLoader(BaseLoader):
"""Loader that uses urllib to load .txt web files."""
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/gutenberg.html |
3ae06bb1955f-0 | Source code for langchain.document_loaders.email
"""Loader that loads email files."""
import os
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
from langchain.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
3ae06bb1955f-1 | "`pip install extract_msg`"
)
[docs] def load(self) -> List[Document]:
"""Load data into document objects."""
import extract_msg
msg = extract_msg.Message(self.file_path)
return [
Document(
page_content=msg.body,
metadata={
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/email.html |
89a2b6b64f43-0 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
89a2b6b64f43-1 | 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://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
89a2b6b64f43-2 | }
)
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))
return els
[docs] def load(self) -> Lis... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/sitemap.html |
73612395a5ff-0 | Source code for langchain.document_loaders.word_document
"""Loader that loads word documents."""
import os
import tempfile
from abc import ABC
from typing import List
from urllib.parse import urlparse
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
73612395a5ff-1 | if hasattr(self, "temp_file"):
self.temp_file.close()
[docs] def load(self) -> List[Document]:
"""Load given path as single page."""
import docx2txt
return [
Document(
page_content=docx2txt.process(self.file_path),
metadata={"source": se... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
73612395a5ff-2 | "Please upgrade the unstructured package and try again."
)
if is_doc:
from unstructured.partition.doc import partition_doc
return partition_doc(filename=self.file_path, **self.unstructured_kwargs)
else:
from unstructured.partition.docx import partition_doc... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/word_document.html |
4a1c5a765384-0 | Source code for langchain.document_loaders.dataframe
"""Load from Dataframe object"""
from typing import Any, List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class DataFrameLoader(BaseLoader):
"""Load Pandas DataFrames."""
def __init__(self, dat... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/dataframe.html |
7b27eded584c-0 | Source code for langchain.document_loaders.web_base
"""Web base loader class."""
import asyncio
import logging
import warnings
from typing import Any, List, Optional, Union
import aiohttp
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = log... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
7b27eded584c-1 | ):
"""Initialize with webpage path."""
# TODO: Deprecate web_path in favor of web_paths, and remove this
# left like this because there are a number of loaders that expect single
# urls
if isinstance(web_path, str):
self.web_paths = [web_path]
elif isinstance(... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
7b27eded584c-2 | return await response.text()
except aiohttp.ClientConnectionError as e:
if i == retries - 1:
raise
else:
logger.warning(
f"Error fetching {url} with attempt "
f... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
7b27eded584c-3 | )
[docs] def scrape_all(self, urls: List[str], parser: Union[str, None] = None) -> List[Any]:
"""Fetch all urls, then return soups for all results."""
from bs4 import BeautifulSoup
results = asyncio.run(self.fetch_all(urls))
final_results = []
for i, result in enumerate(result... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
7b27eded584c-4 | docs.append(Document(page_content=text, metadata=metadata))
return docs
[docs] def aload(self) -> List[Document]:
"""Load text from the urls in web_path async into Documents."""
results = self.scrape_all(self.web_paths)
docs = []
for i in range(len(results)):
soup ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/web_base.html |
a85e0fef8b1b-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://python.langchain.com/en/latest/_modules/langchain/document_loaders/wikipedia.html |
505f889affdc-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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
505f889affdc-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... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
505f889affdc-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},
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
505f889affdc-3 | Args:
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"])
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
505f889affdc-4 | file = drive.get_item(object_id)
if not file:
logging.warning(
"There isn't a file with "
f"object_id {object_id} in drive {drive}."
)
continue
if file.is_file:
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html |
130de2f1edb5-0 | Source code for langchain.document_loaders.directory
"""Loading logic for loading documents from a directory."""
import concurrent
import logging
from pathlib import Path
from typing import Any, List, Optional, Type, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import Base... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
130de2f1edb5-1 | self.loader_kwargs = loader_kwargs
self.silent_errors = silent_errors
self.recursive = recursive
self.show_progress = show_progress
self.use_multithreading = use_multithreading
self.max_concurrency = max_concurrency
[docs] def load_file(
self, item: Path, path: Path, d... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
130de2f1edb5-2 | logger.warning(e)
else:
raise e
if self.use_multithreading:
with concurrent.futures.ThreadPoolExecutor(
max_workers=self.max_concurrency
) as executor:
executor.map(lambda i: self.load_file(i, p, docs, pbar), items)
... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/directory.html |
9a0da52be0ea-0 | Source code for langchain.document_loaders.html_bs
"""Loader that uses bs4 to load HTML files, enriching metadata with page title."""
import logging
from typing import Dict, List, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
logger = logging.getLogger(__n... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
9a0da52be0ea-1 | title = ""
metadata: Dict[str, Union[str, None]] = {
"source": self.file_path,
"title": title,
}
return [Document(page_content=text, metadata=metadata)]
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 28, 2023. | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/html_bs.html |
e1432ab69b62-0 | Source code for langchain.document_loaders.json_loader
"""Loader that loads data from JSON."""
import json
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional, Union
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
[docs]class JSONLoader... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
e1432ab69b62-1 | """
try:
import jq # noqa:F401
except ImportError:
raise ImportError(
"jq package not found, please install it with `pip install jq`"
)
self.file_path = Path(file_path).resolve()
self._jq_schema = jq.compile(jq_schema)
self._co... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
e1432ab69b62-2 | metadata = self._metadata_func(sample, metadata)
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 ... | https://python.langchain.com/en/latest/_modules/langchain/document_loaders/json_loader.html |
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