timothyafolami
66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
import sys, os
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from fastapi import FastAPI, Form, Body
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse, JSONResponse
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from typing import List, Dict
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import uvicorn
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from pydantic import BaseModel
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from utils import product_categorizer
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from social_media_collection import get_all_influencer_data
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from names_collection import get_all_names
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app = FastAPI()
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# Define allowed origins for CORS
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origins = [
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"http://localhost:5300",
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"http://localhost:3000",
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# Add other allowed origins here
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]
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# Add CORS middleware
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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class ProductRequest(BaseModel):
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products: List[str]
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@app.post("/api/categorize-products/")
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async def categorize_products(request: ProductRequest):
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categorized_output = product_categorizer(request.products)
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return JSONResponse(content={"categorized_products": categorized_output})
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class InfluencerData(BaseModel):
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influencer_names: List[str]
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category : str
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@app.post("/api/influencer-data/")
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async def influencers_data(request: InfluencerData):
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collected_data = get_all_influencer_data(request.influencer_names, request.category)
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return JSONResponse(content={"categorized_products": collected_data})
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class CategoryInflencersData(BaseModel):
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category: str
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@app.post("/api/category-influencer-data")
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async def category_influencers_data(request: CategoryInflencersData):
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collected_data = get_all_names(request.category)
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# extracting influencer names
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influencer_names = collected_data[request.category]['names']
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# now collecting the influencer data
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collected_data = get_all_influencer_data(influencer_names, request.category)
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return JSONResponse(content={"categorized_products": collected_data})
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# Example of how to run the FastAPI server with Uvicorn
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if __name__ == "__main__":
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uvicorn.run(app, host="127.0.0.1", port=8000) |