setup fast api

main.py

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+from fastapi import FastAPI
+from routes.extract_product_info_from_barcode import router as extract_product_info_router
+from routes.fetch_product_data import router as fetch_product_data_router
+
+app = FastAPI()
+
+app.include_router(extract_product_info_router, prefix="/api")
+app.include_router(fetch_product_data_router, prefix="/api")
+
+# To run the FastAPI app, use the command: uvicorn main:app --reload

models.py

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+from pydantic import BaseModel
+
+class ProductInfo(BaseModel):
+    product_name: str
+    generic_name: str
+    brands: str
+    ingredients: list
+    ingredients_text: str
+    ingredients_analysis: dict
+    nutriscore: dict
+    nutrient_levels: dict
+    nutriments: dict
+    data_quality_warnings: list
+
+class Barcodes(BaseModel):
+    barcodes: dict
+
+class ProductData(BaseModel):
+    product: dict

utils.py

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+import json
+import os
+import requests
+from fastapi import HTTPException
+
+def fetch_product_data_from_api(barcode):
+    url = f"https://india.openfoodfacts.org/api/v2/product/{barcode}.json"
+    response = requests.get(url)
+    if response.status_code != 200:
+        raise HTTPException(status_code=response.status_code, detail=f"Failed to fetch data for barcode {barcode}")
+    return response.json()
+
+def save_json_file(item, data):
+    os.makedirs("v2", exist_ok=True)
+    with open(f"v2/{item}.json", "w") as file:
+        json.dump(data, file)
+    print(f"Saved {item}.json")