mirror of
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52 lines
2.3 KiB
Python
52 lines
2.3 KiB
Python
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import os
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import time
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from auth.auth_bearer import JWTBearer
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from fastapi import APIRouter, Depends, Request
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from models.users import User
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from utils.vectors import CommonsDep
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user_router = APIRouter()
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max_brain_size_with_own_key = os.getenv("MAX_BRAIN_SIZE_WITH_KEY",209715200)
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@user_router.get("/user", dependencies=[Depends(JWTBearer())])
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async def get_user_endpoint(request: Request,commons: CommonsDep, credentials: dict = Depends(JWTBearer())):
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# Create a function that returns the unique documents out of the vectors
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# Create a function that returns the list of documents that can take in what to put in the select + the filter
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user = User(email=credentials.get('email', 'none'))
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# Cascade delete the summary from the database first, because it has a foreign key constraint
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user_vectors_response = commons['supabase'].table("vectors").select(
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"name:metadata->>file_name, size:metadata->>file_size", count="exact") \
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.filter("user_id", "eq", user.email)\
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.execute()
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documents = user_vectors_response.data # Access the data from the response
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# Convert each dictionary to a tuple of items, then to a set to remove duplicates, and then back to a dictionary
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user_unique_vectors = [dict(t) for t in set(tuple(d.items()) for d in documents)]
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current_brain_size = sum(float(doc['size']) for doc in user_unique_vectors)
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max_brain_size = os.getenv("MAX_BRAIN_SIZE")
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if request.headers.get('Openai-Api-Key'):
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max_brain_size = max_brain_size_with_own_key
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# Create function get user request stats -> nombre de requetes par jour + max number of requests -> svg to display the number of requests ? une fusee ?
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user = User(email=credentials.get('email', 'none'))
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date = time.strftime("%Y%m%d")
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max_requests_number = os.getenv("MAX_REQUESTS_NUMBER")
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if request.headers.get('Openai-Api-Key'):
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max_brain_size = max_brain_size_with_own_key
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requests_stats = commons['supabase'].from_('users').select(
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'*').filter("email", "eq", user.email).execute()
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return {"email":user.email,
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"max_brain_size": max_brain_size,
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"current_brain_size": current_brain_size,
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"max_requests_number": max_requests_number,
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"requests_stats" : requests_stats.data,
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"date": date,
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}
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