import herramientas
import time
import databank
from fastapi.responses import FileResponse

async def crea_partynight(image, outfit_color):    
    endpoint = 'partynight'
    try:
        prompt = databank.obtenPrompt(endpoint, outfit_color=outfit_color) #Van a tener que ser kwargs porque variará de lo recibido de ep a ep.                                      
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt)
        if type(resultado) is str:            
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint)) #Usa el prompt como nombre en dev para info más rica, endpoint para usuario final.
        elif type(resultado) is dict:            
            return resultado         
    except Exception as e:
        print(f"Error 182: {e}")
        return {"error": e}    

async def crea_babydoll(image, outfit_color):
    endpoint = 'babydoll'
    try:                   
        prompt = databank.obtenPrompt(endpoint, outfit_color=outfit_color)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt)
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}
    
async def crea_leather(image):
    endpoint = 'leather'
    try:                   
        prompt = databank.obtenPrompt(endpoint)
        print("Prompt final: ", prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt)
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}

async def crea_stewardess(image, outfit_color):
    endpoint = 'stewardess'
    try:
        prompt = databank.obtenPrompt(endpoint, outfit_color=outfit_color)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}
    
async def crea_oktoberfest(image):
    endpoint = 'oktoberfest'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}
    
async def crea_ghibli(image):
    endpoint = 'ghibli'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}
    
async def crea_wildwest(image):
    endpoint = 'wildwest'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}

async def crea_bride(image):
    endpoint = 'bride'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}  

async def crea_swimsuit(image, outfit_color):
    endpoint = 'swimsuit'
    try:
        prompt = databank.obtenPrompt(endpoint, outfit_color=outfit_color)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(endpoint))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."} 

async def crea_lingerie(image):
    endpoint = 'lingerie'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(prompt))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."} 
    
async def crea_schooluniform(image):
    endpoint = 'schooluniform'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(prompt))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."} 

async def crea_frenchmaid(image):
    endpoint = 'frenchmaid'
    try:
        prompt = databank.obtenPrompt(endpoint)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(prompt))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."} 

async def crea_cheerleader(image, color, hairstyle):
    endpoint = 'cheerleader'
    try:
        prompt = databank.obtenPrompt(endpoint, outfit_color=color, hair_style = hairstyle)
        print(prompt)
        resultado = await herramientas.exeCute(endpoint, image, prompt) #execute ya debe recibir prompt hecho.
        if type(resultado) is str:
            return FileResponse(resultado, media_type="image/jpg", filename=herramientas.formaFilename(prompt))
        elif type(resultado) is dict:
            return resultado     
    except Exception as e:
        print(f"Error: {e}")
        return {"error": "Unable to detect a face in the image. Please upload a different photo with a clear face."}