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https://github.com/trustgraph-ai/trustgraph.git
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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
65 lines
1.4 KiB
Python
65 lines
1.4 KiB
Python
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import asyncio
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from aiohttp import web
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import uuid
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import logging
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logger = logging.getLogger("endpoint")
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logger.setLevel(logging.INFO)
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class ServiceEndpoint:
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def __init__(self, endpoint_path, auth, requestor):
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self.path = endpoint_path
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self.auth = auth
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self.operation = "service"
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self.requestor = requestor
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async def start(self):
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await self.requestor.start()
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def add_routes(self, app):
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app.add_routes([
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web.post(self.path, self.handle),
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])
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async def handle(self, request):
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print(request.path, "...")
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try:
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ht = request.headers["Authorization"]
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tokens = ht.split(" ", 2)
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if tokens[0] != "Bearer":
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return web.HTTPUnauthorized()
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token = tokens[1]
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except:
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token = ""
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if not self.auth.permitted(token, self.operation):
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return web.HTTPUnauthorized()
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try:
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data = await request.json()
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print(data)
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async def responder(x, fin):
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print(x)
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resp = await self.requestor.process(data, responder)
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return web.json_response(resp)
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except Exception as e:
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logging.error(f"Exception: {e}")
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return web.json_response(
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{ "error": str(e) }
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)
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