mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
315 lines
11 KiB
Python
315 lines
11 KiB
Python
"""Utility functions for parsing an OpenAPI spec."""
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from __future__ import annotations
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import copy
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import json
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import logging
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import re
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from enum import Enum
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from pathlib import Path
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from typing import TYPE_CHECKING, Dict, List, Optional, Union
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import requests
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import yaml
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from langchain_core.pydantic_v1 import ValidationError
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logger = logging.getLogger(__name__)
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class HTTPVerb(str, Enum):
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"""Enumerator of the HTTP verbs."""
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GET = "get"
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PUT = "put"
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POST = "post"
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DELETE = "delete"
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OPTIONS = "options"
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HEAD = "head"
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PATCH = "patch"
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TRACE = "trace"
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@classmethod
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def from_str(cls, verb: str) -> HTTPVerb:
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"""Parse an HTTP verb."""
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try:
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return cls(verb)
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except ValueError:
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raise ValueError(f"Invalid HTTP verb. Valid values are {cls.__members__}")
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if TYPE_CHECKING:
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from openapi_pydantic import (
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Components,
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Operation,
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Parameter,
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PathItem,
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Paths,
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Reference,
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RequestBody,
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Schema,
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)
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try:
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from openapi_pydantic import OpenAPI
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except ImportError:
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OpenAPI = object # type: ignore
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class OpenAPISpec(OpenAPI):
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"""OpenAPI Model that removes mis-formatted parts of the spec."""
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openapi: str = "3.1.0" # overriding overly restrictive type from parent class
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@property
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def _paths_strict(self) -> Paths:
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if not self.paths:
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raise ValueError("No paths found in spec")
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return self.paths
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def _get_path_strict(self, path: str) -> PathItem:
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path_item = self._paths_strict.get(path)
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if not path_item:
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raise ValueError(f"No path found for {path}")
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return path_item
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@property
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def _components_strict(self) -> Components:
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"""Get components or err."""
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if self.components is None:
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raise ValueError("No components found in spec. ")
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return self.components
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@property
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def _parameters_strict(self) -> Dict[str, Union[Parameter, Reference]]:
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"""Get parameters or err."""
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parameters = self._components_strict.parameters
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if parameters is None:
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raise ValueError("No parameters found in spec. ")
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return parameters
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@property
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def _schemas_strict(self) -> Dict[str, Schema]:
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"""Get the dictionary of schemas or err."""
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schemas = self._components_strict.schemas
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if schemas is None:
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raise ValueError("No schemas found in spec. ")
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return schemas
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@property
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def _request_bodies_strict(self) -> Dict[str, Union[RequestBody, Reference]]:
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"""Get the request body or err."""
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request_bodies = self._components_strict.requestBodies
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if request_bodies is None:
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raise ValueError("No request body found in spec. ")
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return request_bodies
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def _get_referenced_parameter(self, ref: Reference) -> Union[Parameter, Reference]:
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"""Get a parameter (or nested reference) or err."""
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ref_name = ref.ref.split("/")[-1]
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parameters = self._parameters_strict
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if ref_name not in parameters:
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raise ValueError(f"No parameter found for {ref_name}")
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return parameters[ref_name]
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def _get_root_referenced_parameter(self, ref: Reference) -> Parameter:
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"""Get the root reference or err."""
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from openapi_pydantic import Reference
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parameter = self._get_referenced_parameter(ref)
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while isinstance(parameter, Reference):
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parameter = self._get_referenced_parameter(parameter)
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return parameter
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def get_referenced_schema(self, ref: Reference) -> Schema:
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"""Get a schema (or nested reference) or err."""
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ref_name = ref.ref.split("/")[-1]
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schemas = self._schemas_strict
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if ref_name not in schemas:
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raise ValueError(f"No schema found for {ref_name}")
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return schemas[ref_name]
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def get_schema(self, schema: Union[Reference, Schema]) -> Schema:
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from openapi_pydantic import Reference
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if isinstance(schema, Reference):
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return self.get_referenced_schema(schema)
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return schema
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def _get_root_referenced_schema(self, ref: Reference) -> Schema:
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"""Get the root reference or err."""
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from openapi_pydantic import Reference
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schema = self.get_referenced_schema(ref)
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while isinstance(schema, Reference):
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schema = self.get_referenced_schema(schema)
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return schema
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def _get_referenced_request_body(
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self, ref: Reference
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) -> Optional[Union[Reference, RequestBody]]:
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"""Get a request body (or nested reference) or err."""
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ref_name = ref.ref.split("/")[-1]
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request_bodies = self._request_bodies_strict
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if ref_name not in request_bodies:
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raise ValueError(f"No request body found for {ref_name}")
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return request_bodies[ref_name]
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def _get_root_referenced_request_body(
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self, ref: Reference
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) -> Optional[RequestBody]:
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"""Get the root request Body or err."""
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from openapi_pydantic import Reference
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request_body = self._get_referenced_request_body(ref)
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while isinstance(request_body, Reference):
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request_body = self._get_referenced_request_body(request_body)
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return request_body
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@staticmethod
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def _alert_unsupported_spec(obj: dict) -> None:
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"""Alert if the spec is not supported."""
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warning_message = (
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" This may result in degraded performance."
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+ " Convert your OpenAPI spec to 3.1.* spec"
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+ " for better support."
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)
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swagger_version = obj.get("swagger")
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openapi_version = obj.get("openapi")
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if isinstance(openapi_version, str):
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if openapi_version != "3.1.0":
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logger.warning(
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f"Attempting to load an OpenAPI {openapi_version}"
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f" spec. {warning_message}"
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)
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else:
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pass
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elif isinstance(swagger_version, str):
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logger.warning(
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f"Attempting to load a Swagger {swagger_version}"
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f" spec. {warning_message}"
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)
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else:
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raise ValueError(
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"Attempting to load an unsupported spec:"
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f"\n\n{obj}\n{warning_message}"
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)
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@classmethod
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def parse_obj(cls, obj: dict) -> OpenAPISpec:
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try:
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cls._alert_unsupported_spec(obj)
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return super().parse_obj(obj)
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except ValidationError as e:
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# We are handling possibly misconfigured specs and
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# want to do a best-effort job to get a reasonable interface out of it.
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new_obj = copy.deepcopy(obj)
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for error in e.errors():
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keys = error["loc"]
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item = new_obj
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for key in keys[:-1]:
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item = item[key]
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item.pop(keys[-1], None)
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return cls.parse_obj(new_obj)
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@classmethod
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def from_spec_dict(cls, spec_dict: dict) -> OpenAPISpec:
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"""Get an OpenAPI spec from a dict."""
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return cls.parse_obj(spec_dict)
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@classmethod
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def from_text(cls, text: str) -> OpenAPISpec:
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"""Get an OpenAPI spec from a text."""
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try:
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spec_dict = json.loads(text)
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except json.JSONDecodeError:
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spec_dict = yaml.safe_load(text)
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return cls.from_spec_dict(spec_dict)
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@classmethod
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def from_file(cls, path: Union[str, Path]) -> OpenAPISpec:
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"""Get an OpenAPI spec from a file path."""
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path_ = path if isinstance(path, Path) else Path(path)
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if not path_.exists():
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raise FileNotFoundError(f"{path} does not exist")
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with path_.open("r") as f:
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return cls.from_text(f.read())
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@classmethod
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def from_url(cls, url: str) -> OpenAPISpec:
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"""Get an OpenAPI spec from a URL."""
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response = requests.get(url)
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return cls.from_text(response.text)
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@property
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def base_url(self) -> str:
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"""Get the base url."""
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return self.servers[0].url
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def get_methods_for_path(self, path: str) -> List[str]:
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"""Return a list of valid methods for the specified path."""
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from openapi_pydantic import Operation
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path_item = self._get_path_strict(path)
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results = []
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for method in HTTPVerb:
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operation = getattr(path_item, method.value, None)
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if isinstance(operation, Operation):
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results.append(method.value)
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return results
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def get_parameters_for_path(self, path: str) -> List[Parameter]:
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from openapi_pydantic import Reference
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path_item = self._get_path_strict(path)
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parameters = []
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if not path_item.parameters:
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return []
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for parameter in path_item.parameters:
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if isinstance(parameter, Reference):
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parameter = self._get_root_referenced_parameter(parameter)
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parameters.append(parameter)
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return parameters
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def get_operation(self, path: str, method: str) -> Operation:
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"""Get the operation object for a given path and HTTP method."""
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from openapi_pydantic import Operation
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path_item = self._get_path_strict(path)
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operation_obj = getattr(path_item, method, None)
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if not isinstance(operation_obj, Operation):
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raise ValueError(f"No {method} method found for {path}")
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return operation_obj
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def get_parameters_for_operation(self, operation: Operation) -> List[Parameter]:
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"""Get the components for a given operation."""
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from openapi_pydantic import Reference
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parameters = []
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if operation.parameters:
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for parameter in operation.parameters:
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if isinstance(parameter, Reference):
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parameter = self._get_root_referenced_parameter(parameter)
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parameters.append(parameter)
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return parameters
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def get_request_body_for_operation(
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self, operation: Operation
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) -> Optional[RequestBody]:
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"""Get the request body for a given operation."""
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from openapi_pydantic import Reference
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request_body = operation.requestBody
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if isinstance(request_body, Reference):
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request_body = self._get_root_referenced_request_body(request_body)
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return request_body
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@staticmethod
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def get_cleaned_operation_id(operation: Operation, path: str, method: str) -> str:
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"""Get a cleaned operation id from an operation id."""
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operation_id = operation.operationId
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if operation_id is None:
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# Replace all punctuation of any kind with underscore
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path = re.sub(r"[^a-zA-Z0-9]", "_", path.lstrip("/"))
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operation_id = f"{path}_{method}"
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return operation_id.replace("-", "_").replace(".", "_").replace("/", "_")
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