router.py

from fastapi import FastAPI, HTTPException, Header, Query
from pydantic import BaseModel, StrictStr
from searcher import user_Data
import json

app = FastAPI()
user_Agent = user_Data()
# Load dictionary once at startup
with open("country_city_dict.json", "r", encoding="utf-8") as f:
    COUNTRY_CITY_DATA   = json.load(f)

with open("languages.json", "r", encoding="utf-8") as f:
    LANGUAGES_DATA      = json.load(f)

@app.get("/")
async def get_request():
    HTTPException(status_code=500, detail="Internal Server Error")


class InputData(BaseModel):
    businessName: StrictStr
    country: StrictStr
    city: StrictStr

@app.post("/get")
async def run_script(input_Data: InputData, token: str = Header(None, alias="api-token")):
    try:
        if token:
                res = user_Agent.get_Search_Results(input_Data, token) 
                if res:
                    return {"status": 200, "data": res}
                else:
                    raise HTTPException(status_code=500, detail="The request can not be fulfilled")
        else:
            raise HTTPException(status_code=400, detail="Missing 'api-token'.")
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/cities")
async def get_cities(country: str = Query(default="", description="Country name")):
    """
    - If 'country' is empty: returns list of supported countries
    - If 'country' is valid: returns list of cities
    - Else: raises 400 error
    """
    
    if not country:  # return all supported countries
        return {"data": sorted(list(COUNTRY_CITY_DATA.keys()))}
    
    if country in COUNTRY_CITY_DATA:  # return cities for valid country
        return {"data": sorted(COUNTRY_CITY_DATA[country])}
    
    # otherwise -> error
    raise HTTPException(status_code=400, detail=f"Unsupported country: {country}")


@app.get("/languages")
async def get_cities():
    """
    returns a json of languages as keys and theyr code as value
    """
    
    return {"data": dict(sorted(LANGUAGES_DATA.items(), key=lambda item: item[1]))}