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a9197d11ee
- Keeps processing in different flows separate so that data can go to different stores / collections etc. - Potentially supports different processing flows - Tidies the processing API with common base-classes for e.g. LLMs, and automatic configuration of 'clients' to use the right queue names in a flow
33 lines
985 B
Python
33 lines
985 B
Python
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from . request_response_spec import RequestResponse, RequestResponseSpec
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from .. schema import GraphRagQuery, GraphRagResponse
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class GraphRagClient(RequestResponse):
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async def rag(self, query, user="trustgraph", collection="default",
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timeout=600):
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resp = await self.request(
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GraphRagQuery(
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query = query,
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user = user,
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collection = collection,
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),
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timeout=timeout
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)
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if resp.error:
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raise RuntimeError(resp.error.message)
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return resp.response
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class GraphRagClientSpec(RequestResponseSpec):
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def __init__(
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self, request_name, response_name,
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):
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super(GraphRagClientSpec, self).__init__(
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request_name = request_name,
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request_schema = GraphRagQuery,
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response_name = response_name,
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response_schema = GraphRagResponse,
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impl = GraphRagClient,
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)
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