mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
282 lines
7.6 KiB
Python
282 lines
7.6 KiB
Python
from __future__ import annotations
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import logging
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import os
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import pathlib
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import platform
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from typing import Optional, Tuple
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from langchain_core.env import get_runtime_environment
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from langchain_core.pydantic_v1 import BaseModel
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from langchain_community.document_loaders.base import BaseLoader
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logger = logging.getLogger(__name__)
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PLUGIN_VERSION = "0.1.1"
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CLASSIFIER_URL = os.getenv("PEBBLO_CLASSIFIER_URL", "http://localhost:8000")
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PEBBLO_CLOUD_URL = os.getenv("PEBBLO_CLOUD_URL", "https://api.daxa.ai")
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LOADER_DOC_URL = "/v1/loader/doc"
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APP_DISCOVER_URL = "/v1/app/discover"
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# Supported loaders for Pebblo safe data loading
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file_loader = [
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"JSONLoader",
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"S3FileLoader",
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"UnstructuredMarkdownLoader",
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"UnstructuredPDFLoader",
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"UnstructuredFileLoader",
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"UnstructuredJsonLoader",
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"PyPDFLoader",
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"GCSFileLoader",
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"AmazonTextractPDFLoader",
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"CSVLoader",
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"UnstructuredExcelLoader",
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"UnstructuredEmailLoader",
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]
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dir_loader = [
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"DirectoryLoader",
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"S3DirLoader",
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"SlackDirectoryLoader",
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"PyPDFDirectoryLoader",
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"NotionDirectoryLoader",
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]
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in_memory = ["DataFrameLoader"]
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remote_db = [
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"NotionDBLoader",
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"GoogleDriveLoader",
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]
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LOADER_TYPE_MAPPING = {
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"file": file_loader,
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"dir": dir_loader,
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"in-memory": in_memory,
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"remote_db": remote_db,
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}
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SUPPORTED_LOADERS = (*file_loader, *dir_loader, *in_memory)
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logger = logging.getLogger(__name__)
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class Runtime(BaseModel):
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"""Pebblo Runtime.
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Args:
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type (Optional[str]): Runtime type. Defaults to ""
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host (str): Hostname of runtime.
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path (str): Current working directory path.
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ip (Optional[str]): Ip of current runtime. Defaults to ""
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platform (str): Platform details of current runtime.
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os (str): OS name.
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os_version (str): OS version.
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language (str): Runtime kernel.
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language_version (str): version of current runtime kernel.
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runtime (Optional[str]) More runtime details. Defaults to ""
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"""
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type: str = "local"
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host: str
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path: str
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ip: Optional[str] = ""
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platform: str
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os: str
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os_version: str
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language: str
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language_version: str
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runtime: str = "local"
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class Framework(BaseModel):
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"""Pebblo Framework instance.
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Args:
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name (str): Name of the Framework.
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version (str): Version of the Framework.
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"""
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name: str
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version: str
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class App(BaseModel):
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"""Pebblo AI application.
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Args:
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name (str): Name of the app.
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owner (str): Owner of the app.
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description (Optional[str]): Description of the app.
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load_id (str): Unique load_id of the app instance.
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runtime (Runtime): Runtime details of app.
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framework (Framework): Framework details of the app
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plugin_version (str): Plugin version used for the app.
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"""
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name: str
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owner: str
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description: Optional[str]
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load_id: str
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runtime: Runtime
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framework: Framework
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plugin_version: str
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class Doc(BaseModel):
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"""Pebblo document.
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Args:
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name (str): Name of app originating this document.
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owner (str): Owner of app.
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docs (list): List of documents with its metadata.
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plugin_version (str): Pebblo plugin Version
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load_id (str): Unique load_id of the app instance.
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loader_details (dict): Loader details with its metadata.
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loading_end (bool): Boolean, specifying end of loading of source.
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source_owner (str): Owner of the source of the loader.
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"""
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name: str
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owner: str
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docs: list
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plugin_version: str
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load_id: str
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loader_details: dict
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loading_end: bool
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source_owner: str
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def get_full_path(path: str) -> str:
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"""Return an absolute local path for a local file/directory,
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for a network related path, return as is.
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Args:
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path (str): Relative path to be resolved.
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Returns:
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str: Resolved absolute path.
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"""
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if (
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not path
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or ("://" in path)
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or ("/" == path[0])
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or (path in ["unknown", "-", "in-memory"])
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):
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return path
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full_path = pathlib.Path(path).resolve()
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return str(full_path)
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def get_loader_type(loader: str) -> str:
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"""Return loader type among, file, dir or in-memory.
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Args:
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loader (str): Name of the loader, whose type is to be resolved.
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Returns:
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str: One of the loader type among, file/dir/in-memory.
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"""
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for loader_type, loaders in LOADER_TYPE_MAPPING.items():
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if loader in loaders:
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return loader_type
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return "unsupported"
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def get_loader_full_path(loader: BaseLoader) -> str:
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"""Return an absolute source path of source of loader based on the
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keys present in Document object from loader.
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Args:
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loader (BaseLoader): Langchain document loader, derived from Baseloader.
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"""
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from langchain_community.document_loaders import (
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DataFrameLoader,
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GCSFileLoader,
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NotionDBLoader,
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S3FileLoader,
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)
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location = "-"
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if not isinstance(loader, BaseLoader):
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logger.error(
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"loader is not derived from BaseLoader, source location will be unknown!"
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)
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return location
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loader_dict = loader.__dict__
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try:
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if "bucket" in loader_dict:
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if isinstance(loader, GCSFileLoader):
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location = f"gc://{loader.bucket}/{loader.blob}"
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elif isinstance(loader, S3FileLoader):
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location = f"s3://{loader.bucket}/{loader.key}"
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elif "source" in loader_dict:
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location = loader_dict["source"]
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if location and "channel" in loader_dict:
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channel = loader_dict["channel"]
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if channel:
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location = f"{location}/{channel}"
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elif "path" in loader_dict:
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location = loader_dict["path"]
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elif "file_path" in loader_dict:
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location = loader_dict["file_path"]
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elif "web_paths" in loader_dict:
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web_paths = loader_dict["web_paths"]
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if web_paths and isinstance(web_paths, list) and len(web_paths) > 0:
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location = web_paths[0]
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# For in-memory types:
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elif isinstance(loader, DataFrameLoader):
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location = "in-memory"
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elif isinstance(loader, NotionDBLoader):
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location = f"notiondb://{loader.database_id}"
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except Exception:
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pass
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return get_full_path(str(location))
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def get_runtime() -> Tuple[Framework, Runtime]:
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"""Fetch the current Framework and Runtime details.
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Returns:
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Tuple[Framework, Runtime]: Framework and Runtime for the current app instance.
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"""
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runtime_env = get_runtime_environment()
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framework = Framework(
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name="langchain", version=runtime_env.get("library_version", None)
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)
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uname = platform.uname()
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runtime = Runtime(
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host=uname.node,
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path=os.environ["PWD"],
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platform=runtime_env.get("platform", "unknown"),
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os=uname.system,
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os_version=uname.version,
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ip=get_ip(),
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language=runtime_env.get("runtime", "unknown"),
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language_version=runtime_env.get("runtime_version", "unknown"),
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)
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if "Darwin" in runtime.os:
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runtime.type = "desktop"
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runtime.runtime = "Mac OSX"
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logger.debug(f"framework {framework}")
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logger.debug(f"runtime {runtime}")
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return framework, runtime
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def get_ip() -> str:
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"""Fetch local runtime ip address.
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Returns:
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str: IP address
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"""
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import socket # lazy imports
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host = socket.gethostname()
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try:
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public_ip = socket.gethostbyname(host)
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except Exception:
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public_ip = socket.gethostbyname("localhost")
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return public_ip
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