mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +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
76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
"""Quick and dirty representation for OpenAPI specs."""
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from dataclasses import dataclass
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from typing import List, Tuple
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from langchain_core.utils.json_schema import dereference_refs
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@dataclass(frozen=True)
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class ReducedOpenAPISpec:
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"""A reduced OpenAPI spec.
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This is a quick and dirty representation for OpenAPI specs.
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Attributes:
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servers: The servers in the spec.
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description: The description of the spec.
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endpoints: The endpoints in the spec.
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"""
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servers: List[dict]
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description: str
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endpoints: List[Tuple[str, str, dict]]
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def reduce_openapi_spec(spec: dict, dereference: bool = True) -> ReducedOpenAPISpec:
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"""Simplify/distill/minify a spec somehow.
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I want a smaller target for retrieval and (more importantly)
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I want smaller results from retrieval.
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I was hoping https://openapi.tools/ would have some useful bits
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to this end, but doesn't seem so.
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"""
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# 1. Consider only get, post, patch, put, delete endpoints.
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endpoints = [
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(f"{operation_name.upper()} {route}", docs.get("description"), docs)
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for route, operation in spec["paths"].items()
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for operation_name, docs in operation.items()
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if operation_name in ["get", "post", "patch", "put", "delete"]
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]
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# 2. Replace any refs so that complete docs are retrieved.
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# Note: probably want to do this post-retrieval, it blows up the size of the spec.
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if dereference:
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endpoints = [
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(name, description, dereference_refs(docs, full_schema=spec))
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for name, description, docs in endpoints
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]
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# 3. Strip docs down to required request args + happy path response.
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def reduce_endpoint_docs(docs: dict) -> dict:
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out = {}
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if docs.get("description"):
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out["description"] = docs.get("description")
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if docs.get("parameters"):
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out["parameters"] = [
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parameter
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for parameter in docs.get("parameters", [])
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if parameter.get("required")
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]
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if "200" in docs["responses"]:
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out["responses"] = docs["responses"]["200"]
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if docs.get("requestBody"):
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out["requestBody"] = docs.get("requestBody")
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return out
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endpoints = [
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(name, description, reduce_endpoint_docs(docs))
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for name, description, docs in endpoints
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]
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return ReducedOpenAPISpec(
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servers=spec["servers"],
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description=spec["info"].get("description", ""),
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endpoints=endpoints,
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)
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