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vectorstore = self.vectorstore_cls.from_documents( sub_docs, self.embedding, **self.vectorstore_kwargs ) return VectorStoreIndexWrapper(vectorstore=vectorstore)
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/vectorstore.html
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Source code for langchain.indexes.base from __future__ import annotations import uuid from abc import ABC, abstractmethod from typing import List, Optional, Sequence NAMESPACE_UUID = uuid.UUID(int=1984) [docs]class RecordManager(ABC): """An abstract base class representing the interface for a record manager.""" [do...
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/base.html
4778ec15a92d-1
*, group_ids: Optional[Sequence[Optional[str]]] = None, time_at_least: Optional[float] = None, ) -> None: """Upsert records into the database. Args: keys: A list of record keys to upsert. group_ids: A list of group IDs corresponding to the keys. ti...
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/base.html
4778ec15a92d-2
"""Check if the provided keys exist in the database. Args: keys: A list of keys to check. Returns: A list of boolean values indicating the existence of each key. """ [docs] @abstractmethod def list_keys( self, *, before: Optional[float] = No...
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/base.html
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def delete_keys(self, keys: Sequence[str]) -> None: """Delete specified records from the database. Args: keys: A list of keys to delete. """ [docs] @abstractmethod async def adelete_keys(self, keys: Sequence[str]) -> None: """Delete specified records from the database....
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/base.html
970df907b09b-0
Source code for langchain.indexes.graph """Graph Index Creator.""" from typing import Optional, Type from langchain.chains.llm import LLMChain from langchain.graphs.networkx_graph import NetworkxEntityGraph, parse_triples from langchain.indexes.prompts.knowledge_triplet_extraction import ( KNOWLEDGE_TRIPLE_EXTRACTI...
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/graph.html
970df907b09b-1
chain = LLMChain(llm=self.llm, prompt=prompt) output = await chain.apredict(text=text) knowledge = parse_triples(output) for triple in knowledge: graph.add_triple(triple) return graph
lang/api.python.langchain.com/en/latest/_modules/langchain/indexes/graph.html
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Source code for langchain.utils.iter from collections import deque from itertools import islice from typing import ( Any, ContextManager, Deque, Generator, Generic, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union, overload, ) from typing_extensions import Li...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/iter.html
5c25de5b34be-1
# are fetching items concurrently. They may have buffered their # item already. for peer_buffer in peers: peer_buffer.append(item) yield buffer.popleft() finally: with lock: # this peer is done – remove its b...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/iter.html
5c25de5b34be-2
immediately closes all children, and it can be used in an ``async with`` context for the same effect. If ``iterable`` is an iterator and read elsewhere, ``tee`` will *not* provide these items. Also, ``tee`` must internally buffer each item until the last iterator has yielded it; if the most and least ad...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/iter.html
5c25de5b34be-3
... @overload def __getitem__(self, item: slice) -> Tuple[Iterator[T], ...]: ... def __getitem__( self, item: Union[int, slice] ) -> Union[Iterator[T], Tuple[Iterator[T], ...]]: return self._children[item] def __iter__(self) -> Iterator[Iterator[T]]: yield from self._...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/iter.html
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Source code for langchain.utils.aiter """ Adapted from https://github.com/maxfischer2781/asyncstdlib/blob/master/asyncstdlib/itertools.py MIT License """ from collections import deque from typing import ( Any, AsyncContextManager, AsyncGenerator, AsyncIterator, Awaitable, Callable, Deque, ...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/aiter.html
5bc70a4a41df-1
# The C code is way more low-level than this, as it implements # all methods of the iterator protocol. In this implementation # we're relying on higher-level coroutine concepts, but that's # exactly what we want -- crosstest pure-Python high-level # implementation and low...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/aiter.html
5bc70a4a41df-2
# This ensures the proper item ordering if any of our peers # are fetching items concurrently. They may have buffered their # item already. for peer_buffer in peers: peer_buffer.append(item) yield buffer.popl...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/aiter.html
5bc70a4a41df-3
to get the child iterators. In addition, its :py:meth:`~.tee.aclose` method immediately closes all children, and it can be used in an ``async with`` context for the same effect. If ``iterable`` is an iterator and read elsewhere, ``tee`` will *not* provide these items. Also, ``tee`` must internally buffe...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/aiter.html
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) def __len__(self) -> int: return len(self._children) @overload def __getitem__(self, item: int) -> AsyncIterator[T]: ... @overload def __getitem__(self, item: slice) -> Tuple[AsyncIterator[T], ...]: ... def __getitem__( self, item: Union[int, slice] ) -> Uni...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/aiter.html
bfda83f3e387-0
Source code for langchain.utils.env import os from typing import Any, Dict, Optional [docs]def get_from_dict_or_env( data: Dict[str, Any], key: str, env_key: str, default: Optional[str] = None ) -> str: """Get a value from a dictionary or an environment variable.""" if key in data and data[key]: ret...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/env.html
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Source code for langchain.utils.pydantic """Utilities for tests.""" [docs]def get_pydantic_major_version() -> int: """Get the major version of Pydantic.""" try: import pydantic return int(pydantic.__version__.split(".")[0]) except ImportError: return 0 PYDANTIC_MAJOR_VERSION = get_py...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/pydantic.html
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Source code for langchain.utils.math """Math utils.""" import logging from typing import List, Optional, Tuple, Union import numpy as np logger = logging.getLogger(__name__) Matrix = Union[List[List[float]], List[np.ndarray], np.ndarray] [docs]def cosine_similarity(X: Matrix, Y: Matrix) -> np.ndarray: """Row-wise c...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/math.html
8f93ca75ae42-1
similarity = np.dot(X, Y.T) / np.outer(X_norm, Y_norm) similarity[np.isnan(similarity) | np.isinf(similarity)] = 0.0 return similarity [docs]def cosine_similarity_top_k( X: Matrix, Y: Matrix, top_k: Optional[int] = 5, score_threshold: Optional[float] = None, ) -> Tuple[List[Tuple[int, in...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/math.html
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Source code for langchain.utils.json_schema from __future__ import annotations from copy import deepcopy from typing import Any, List, Optional, Sequence def _retrieve_ref(path: str, schema: dict) -> dict: components = path.split("/") if components[0] != "#": raise ValueError( "ref paths are...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/json_schema.html
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keys += _infer_skip_keys(ref, full_schema) elif isinstance(v, (list, dict)): keys += _infer_skip_keys(v, full_schema) elif isinstance(obj, list): for el in obj: keys += _infer_skip_keys(el, full_schema) return keys [docs]def dereference_refs( schema_obj: dict,...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/json_schema.html
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Source code for langchain.utils.input """Handle chained inputs.""" from typing import Dict, List, Optional, TextIO _TEXT_COLOR_MAPPING = { "blue": "36;1", "yellow": "33;1", "pink": "38;5;200", "green": "32;1", "red": "31;1", } [docs]def get_color_mapping( items: List[str], excluded_colors: Optio...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/input.html
83e5ddab3fbb-1
print(text_to_print, end=end, file=file) if file: file.flush() # ensure all printed content are written to file
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/input.html
6fa2e44b0899-0
Source code for langchain.utils.utils """Generic utility functions.""" import contextlib import datetime import functools import importlib import warnings from importlib.metadata import version from typing import Any, Callable, Dict, Optional, Set, Tuple, Union from packaging.version import parse from requests import H...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/utils.html
6fa2e44b0899-1
"""Context manager for mocking out datetime.now() in unit tests. Example: with mock_now(datetime.datetime(2011, 2, 3, 10, 11)): assert datetime.datetime.now() == datetime.datetime(2011, 2, 3, 10, 11) """ class MockDateTime(datetime.datetime): """Mock datetime.datetime.now() with a fixed ...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/utils.html
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gte_version: Optional[str] = None, ) -> None: """Check the version of a package.""" imported_version = parse(version(package)) if lt_version is not None and imported_version >= parse(lt_version): raise ValueError( f"Expected {package} version to be < {lt_version}. Received " ...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/utils.html
6fa2e44b0899-3
values: Dict[str, Any], all_required_field_names: Set[str], ) -> Dict[str, Any]: """Build extra kwargs from values and extra_kwargs. Args: extra_kwargs: Extra kwargs passed in by user. values: Values passed in by user. all_required_field_names: All required field names for the pydant...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/utils.html
439bb05afb24-0
Source code for langchain.utils.loading """Utilities for loading configurations from langchain-hub.""" import os import re import tempfile from pathlib import Path, PurePosixPath from typing import Any, Callable, Optional, Set, TypeVar, Union from urllib.parse import urljoin import requests DEFAULT_REF = os.environ.get...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/loading.html
439bb05afb24-1
# when working with URLs that use forward slashes as the path separator. # Instead, use PurePosixPath to ensure that forward slashes are used as the # path separator, regardless of the operating system. full_url = urljoin(URL_BASE.format(ref=ref), PurePosixPath(remote_path).__str__()) r = requests.get(f...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/loading.html
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Source code for langchain.utils.openai_functions from typing import Literal, Optional, Type, TypedDict from langchain.pydantic_v1 import BaseModel from langchain.utils.json_schema import dereference_refs [docs]class FunctionDescription(TypedDict): """Representation of a callable function to the OpenAI API.""" n...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/openai_functions.html
2d0db9c9e5db-0
Source code for langchain.utils.html import re from typing import List, Optional, Sequence, Union from urllib.parse import urljoin, urlparse PREFIXES_TO_IGNORE = ("javascript:", "mailto:", "#") SUFFIXES_TO_IGNORE = ( ".css", ".js", ".ico", ".png", ".jpg", ".jpeg", ".gif", ".svg", ".c...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/html.html
2d0db9c9e5db-1
pattern: Union[str, re.Pattern, None] = None, prevent_outside: bool = True, exclude_prefixes: Sequence[str] = (), ) -> List[str]: """Extract all links from a raw html string and convert into absolute paths. Args: raw_html: original html. url: the url of the html. base_url: the ba...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/html.html
387b0737e61b-0
Source code for langchain.utils.strings from typing import Any, List [docs]def stringify_value(val: Any) -> str: """Stringify a value. Args: val: The value to stringify. Returns: str: The stringified value. """ if isinstance(val, str): return val elif isinstance(val, dict...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/strings.html
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Source code for langchain.utils.openai from __future__ import annotations from importlib.metadata import version from packaging.version import parse [docs]def is_openai_v1() -> bool: _version = parse(version("openai")) return _version.major >= 1
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/openai.html
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Source code for langchain.utils.formatting """Utilities for formatting strings.""" from string import Formatter from typing import Any, List, Mapping, Sequence, Union [docs]class StrictFormatter(Formatter): """A subclass of formatter that checks for extra keys.""" [docs] def check_unused_args( self, ...
lang/api.python.langchain.com/en/latest/_modules/langchain/utils/formatting.html
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Source code for langchain.adapters.openai from __future__ import annotations import importlib from typing import ( Any, AsyncIterator, Dict, Iterable, List, Mapping, Sequence, Union, overload, ) from typing_extensions import Literal from langchain.schema.chat import ChatSession from ...
lang/api.python.langchain.com/en/latest/_modules/langchain/adapters/openai.html
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additional_kwargs["tool_calls"] = _dict["tool_calls"] return AIMessage(content=content, additional_kwargs=additional_kwargs) elif role == "system": return SystemMessage(content=_dict["content"]) elif role == "function": return FunctionMessage(content=_dict["content"], name=_dict["name"])...
lang/api.python.langchain.com/en/latest/_modules/langchain/adapters/openai.html
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message_dict["content"] = None elif isinstance(message, SystemMessage): message_dict = {"role": "system", "content": message.content} elif isinstance(message, FunctionMessage): message_dict = { "role": "function", "content": message.content, "name": message.na...
lang/api.python.langchain.com/en/latest/_modules/langchain/adapters/openai.html
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# not missing, but None. if i == 0: _dict["content"] = None else: _dict["content"] = chunk.content else: raise ValueError(f"Got unexpected streaming chunk type: {type(chunk)}") # This only happens at the end of streams, and OpenAI returns as empty dict ...
lang/api.python.langchain.com/en/latest/_modules/langchain/adapters/openai.html
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return {"choices": [{"message": convert_message_to_dict(result)}]} else: return ( _convert_message_chunk_to_delta(c, i) for i, c in enumerate(model_config.stream(converted_messages)) ) @overload @staticmethod async def acreate( messages...
lang/api.python.langchain.com/en/latest/_modules/langchain/adapters/openai.html
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) def _has_assistant_message(session: ChatSession) -> bool: """Check if chat session has an assistant message.""" return any([isinstance(m, AIMessage) for m in session["messages"]]) [docs]def convert_messages_for_finetuning( sessions: Iterable[ChatSession], ) -> List[List[dict]]: """Convert messages to ...
lang/api.python.langchain.com/en/latest/_modules/langchain/adapters/openai.html
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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...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/geodataframe.html
e883dc0a3205-1
# 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] ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/geodataframe.html
280183bb8e43-0
Source code for langchain.document_loaders.mhtml import email import logging from typing import Dict, List, Union from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader logger = logging.getLogger(__name__) [docs]class MHTMLLoader(BaseLoader): """Parse `MHTML` files w...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html
280183bb8e43-1
with open(self.file_path, "r", encoding=self.open_encoding) as f: message = email.message_from_string(f.read()) parts = message.get_payload() if not isinstance(parts, list): parts = [message] for part in parts: if part.get_content_type() ==...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/mhtml.html
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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...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
f1fbedb3bbee-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...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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"""Load all documents.""" return list(self.lazy_load())
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/onedrive.html
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Source code for langchain.document_loaders.weather """Simple reader that reads weather data from OpenWeatherMap API""" from __future__ import annotations from datetime import datetime from typing import Iterator, List, Optional, Sequence from langchain.docstore.document import Document from langchain.document_loaders.b...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/weather.html
1352c8d83cf7-0
Source code for langchain.document_loaders.powerpoint import os from typing import List from langchain.document_loaders.unstructured import UnstructuredFileLoader [docs]class UnstructuredPowerPointLoader(UnstructuredFileLoader): """Load `Microsoft PowerPoint` files using `Unstructured`. Works with both .ppt and...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html
1352c8d83cf7-1
try: import magic # noqa: F401 is_ppt = detect_filetype(self.file_path) == FileType.PPT except ImportError: _, extension = os.path.splitext(str(self.file_path)) is_ppt = extension == ".ppt" if is_ppt and unstructured_version < (0, 4, 11): rais...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/powerpoint.html
dcdff638cd2f-0
Source code for langchain.document_loaders.diffbot 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__) [docs]class DiffbotLoader(BaseLoader): """Load `Diffbot` json fi...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html
dcdff638cd2f-1
for url in self.urls: try: data = self._get_diffbot_data(url) text = data["objects"][0]["text"] if "objects" in data else "" metadata = {"source": url} docs.append(Document(page_content=text, metadata=metadata)) except Exception as ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/diffbot.html
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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...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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self.parser = parser or BibtexparserWrapper() self.max_docs = max_docs self.max_content_chars = max_content_chars self.load_extra_metadata = load_extra_metadata self.file_regex = re.compile(file_pattern) def _load_entry(self, entry: Mapping[str, Any]) -> Optional[Document]: i...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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"`pip install pymupdf`" ) entries = self.parser.load_bibtex_entries(self.file_path) if self.max_docs: entries = entries[: self.max_docs] for entry in entries: doc = self._load_entry(entry) if doc: yield doc [docs] def load(self) ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/bibtex.html
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Source code for langchain.document_loaders.duckdb_loader from typing import Dict, List, Optional, cast from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class DuckDBLoader(BaseLoader): """Load from `DuckDB`. Each document represents one row of the resu...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html
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[docs] def load(self) -> List[Document]: try: import duckdb except ImportError: raise ImportError( "Could not import duckdb python package. " "Please install it with `pip install duckdb`." ) docs = [] with duckdb.conn...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/duckdb_loader.html
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Source code for langchain.document_loaders.sharepoint """Loader that loads data from Sharepoint Document Library""" from __future__ import annotations from typing import Iterator, List, Optional, Sequence from langchain.docstore.document import Document from langchain.document_loaders.base_o365 import ( O365BaseLoa...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sharepoint.html
72135e104cd5-1
raise ValueError(f"There isn't a Drive with id {self.document_library_id}.") blob_parser = get_parser("default") if self.folder_path: target_folder = drive.get_item_by_path(self.folder_path) if not isinstance(target_folder, Folder): raise ValueError(f"There isn't ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/sharepoint.html
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Source code for langchain.document_loaders.airbyte from typing import Any, Callable, Iterator, List, Mapping, Optional from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader from langchain.utils.utils import guard_import RecordHandler = Callable[[Any, Optional[str]], Doc...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
fd27d02d40de-1
if record_handler: return record_handler(record, id) return Document(page_content="", metadata=record.data) self._integration = CDKIntegration( config=config, runner=CDKRunner(source=source_class(), name=source_class.__name__), ) self._...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
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).SourceHubspot super().__init__( config=config, source_class=source_class, stream_name=stream_name, record_handler=record_handler, state=state, ) [docs]class AirbyteStripeLoader(AirbyteCDKLoader): """Load from `Stripe` using an `Airbyte` s...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
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state: Optional[Any] = None, ) -> None: """Initializes the loader. Args: config: The config to pass to the source connector. stream_name: The name of the stream to load. record_handler: A function that takes in a record and an optional id and retur...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
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""" source_class = guard_import( "source_zendesk_support", pip_name="airbyte-source-zendesk-support" ).SourceZendeskSupport super().__init__( config=config, source_class=source_class, stream_name=stream_name, record_handler=record_handl...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
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[docs] def __init__( self, config: Mapping[str, Any], stream_name: str, record_handler: Optional[RecordHandler] = None, state: Optional[Any] = None, ) -> None: """Initializes the loader. Args: config: The config to pass to the source connector. ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
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returns a Document. If None, the record will be used as the document. Defaults to None. state: The state to pass to the source connector. Defaults to None. """ source_class = guard_import( "source_gong", pip_name="airbyte-source-gong" ).SourceGong ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte.html
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Source code for langchain.document_loaders.tomarkdown 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 ToMarkdownLoader(BaseLoader): """Load `HTML` using `2markdown...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/tomarkdown.html
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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 [docs]class BlockchainType(Enum): """Enumerator of the...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
2c49e40e7938-1
""" [docs] 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, ): """ ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
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f"&startToken={current_start_token}" ) response = requests.get(url) if response.status_code != 200: raise ValueError( f"Request failed with status code {response.status_code}" ) items = response.json()["nfts"] ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
2c49e40e7938-3
else: value_int = int(tokenId) result = value_int + 1 if value_type == "hex_0x": return "0x" + format(result, "0" + str(len(tokenId) - 2) + "x") elif value_type == "hex_0xbf": return "0xbf" + format(result, "0" + str(len(tokenId) - 4) + "x") else: ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/blockchain.html
93305f02f1c4-0
Source code for langchain.document_loaders.cube_semantic import json import logging import time from typing import List import requests from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader logger = logging.getLogger(__name__) [docs]class CubeSemanticLoader(BaseLoader):...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html
93305f02f1c4-1
self.dimension_values_retry_delay = dimension_values_retry_delay def _get_dimension_values(self, dimension_name: str) -> List[str]: """Makes a call to Cube's REST API load endpoint to retrieve values for dimensions. These values can be used to achieve a more accurate filtering. """ ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html
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"""Makes a call to Cube's REST API metadata endpoint. Returns: A list of documents with attributes: - page_content=column_title + column_description - metadata - table_name - column_name - column_data_type ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html
93305f02f1c4-3
dimension_values = [] item_name = str(item.get("name")) item_type = str(item.get("type")) if ( self.load_dimension_values and column_member_type == "dimension" and item_type == "string" ): ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/cube_semantic.html
a6ea3d39fb4c-0
Source code for langchain.document_loaders.helpers """Document loader helpers.""" import concurrent.futures from typing import List, NamedTuple, Optional, cast [docs]class FileEncoding(NamedTuple): """File encoding as the NamedTuple.""" encoding: Optional[str] """The encoding of the file.""" confidence:...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/helpers.html
8b07365564b5-0
Source code for langchain.document_loaders.fauna from typing import Iterator, List, Optional, Sequence from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader [docs]class FaunaLoader(BaseLoader): """Load from `FaunaDB`. Attributes: query (str): The FQL que...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/fauna.html
8b07365564b5-1
document_dict = dict(result.items()) page_content = "" for key, value in document_dict.items(): if key == self.page_content_field: page_content = value document: Document = Document( page_content=page_content...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/fauna.html
88da779658e5-0
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...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html
88da779658e5-1
"""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"], ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html
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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 ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html
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@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 "&nbsp;", which will cause # "XMLSyntaxError: Entity 'nbsp' not def...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/evernote.html
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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): ""...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/discord.html
2a7eb74f17ec-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): """Load from `Open City`.""" [docs] def __init__(self, city_id: str, data...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/open_city_data.html
9a481241dfc3-0
Source code for langchain.document_loaders.airbyte_json 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(BaseLoader): """Load local `Airbyte` json files...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/airbyte_json.html
570e12937aee-0
Source code for langchain.document_loaders.url """Loader that uses unstructured to load HTML files.""" import logging from typing import Any, List from langchain.docstore.document import Document from langchain.document_loaders.base import BaseLoader logger = logging.getLogger(__name__) [docs]class UnstructuredURLLoade...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html
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from unstructured.__version__ import __version__ as __unstructured_version__ self.__version = __unstructured_version__ except ImportError: raise ImportError( "unstructured package not found, please install it with " "`pip install unstructured`" ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html
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_unstructured_version = self.__version.split("-")[0] unstructured_version = tuple([int(x) for x in _unstructured_version.split(".")]) return unstructured_version >= (0, 5, 13) def __is_non_html_available(self) -> bool: _unstructured_version = self.__version.split("-")[0] unstructured...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html
570e12937aee-3
except Exception as e: if self.continue_on_failure: logger.error(f"Error fetching or processing {url}, exception: {e}") continue else: raise e if self.mode == "single": text = "\n\n".join([str(el) for...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/url.html
a7960eea77b0-0
Source code for langchain.document_loaders.youtube """Loads YouTube transcript.""" from __future__ import annotations import logging from pathlib import Path from typing import Any, Dict, List, Optional, Sequence, Union from urllib.parse import parse_qs, urlparse from langchain.docstore.document import Document from la...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
a7960eea77b0-1
"""Validate that either folder_id or document_ids is set, but not both.""" if not values.get("credentials_path") and not values.get( "service_account_path" ): raise ValueError("Must specify either channel_name or video_ids") return values def _load_credentials(self) -...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
a7960eea77b0-2
token.write(creds.to_json()) return creds ALLOWED_SCHEMAS = {"http", "https"} ALLOWED_NETLOCK = { "youtu.be", "m.youtube.com", "youtube.com", "www.youtube.com", "www.youtube-nocookie.com", "vid.plus", } def _parse_video_id(url: str) -> Optional[str]: """Parse a youtube url and return...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
a7960eea77b0-3
self.add_video_info = add_video_info self.language = language if isinstance(language, str): self.language = [language] else: self.language = language self.translation = translation self.continue_on_failure = continue_on_failure [docs] @staticmethod ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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except TranscriptsDisabled: return [] try: transcript = transcript_list.find_transcript(self.language) except NoTranscriptFound: en_transcript = transcript_list.find_transcript(["en"]) transcript = en_transcript.translate(self.translation) transcri...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
a7960eea77b0-5
To use, you should have the ``googleapiclient,youtube_transcript_api`` python package installed. As the service needs a google_api_client, you first have to initialize the GoogleApiClient. Additionally you have to either provide a channel name or a list of videoids "https://developers.google.com/doc...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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"to use the Google Drive loader" ) return build("youtube", "v3", credentials=creds) [docs] @root_validator def validate_channel_or_videoIds_is_set( cls, values: Dict[str, Any] ) -> Dict[str, Any]: """Validate that either folder_id or document_ids is set, but not both.""" ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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request = self.youtube_client.search().list( part="id", q=channel_name, type="channel", maxResults=1, # we only need one result since channel names are unique ) response = request.execute() channel_id = response["items"][0]["id"]["channelId"] ...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html
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metadata=meta_data, ) ) except (TranscriptsDisabled, NoTranscriptFound) as e: if self.continue_on_failure: logger.error( "Error fetching transscript " + f" {ite...
lang/api.python.langchain.com/en/latest/_modules/langchain/document_loaders/youtube.html