Add folder processing endpoint

import uvicorn

from gradio import processing_utils

from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image

from fastapi import APIRouter, HTTPException

import modules.shared as shared

from modules.api.models import *

    try:

        return [x.name.lower() for x in shared.sd_upscalers].index(name.lower())

    except:

        raise HTTPException(status_code=400, detail="Upscaler not found")

        raise HTTPException(status_code=400, detail=f"Invalid upscaler, needs to be on of these: {' , '.join([x.name for x in sd_upscalers])}")

sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)

def setUpscalers(req: dict):

    reqDict = vars(req)

    reqDict['extras_upscaler_1'] = upscaler_to_index(req.upscaler_1)

    reqDict['extras_upscaler_2'] = upscaler_to_index(req.upscaler_2)

    reqDict.pop('upscaler_1')

    reqDict.pop('upscaler_2')

    return reqDict

class Api:

    def __init__(self, app, queue_lock):

        self.router = APIRouter()

        self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse)

        self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)

        self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)

        self.app.add_api_route("/sdapi/v1/extra-folder-images", self.extras_folder_processing_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)

    def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):

        sampler_index = sampler_to_index(txt2imgreq.sampler_index)

        with self.queue_lock:

            processed = process_images(p)

        b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))

        b64images = list(map(encode_pil_to_base64, processed.images))

        return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.info)

        mask = img2imgreq.mask

        if mask:

            mask = processing_utils.decode_base64_to_image(mask)

            mask = decode_base64_to_image(mask)

        populate = img2imgreq.copy(update={ # Override __init__ params

        imgs = []

        for img in init_images:

            img = processing_utils.decode_base64_to_image(img)

            img = decode_base64_to_image(img)

            imgs = [img] * p.batch_size

        p.init_images = imgs

        with self.queue_lock:

            processed = process_images(p)

        b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))

        b64images = list(map(encode_pil_to_base64, processed.images))

        return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.info)

    def extras_single_image_api(self, req: ExtrasSingleImageRequest):

        upscaler1Index = upscaler_to_index(req.upscaler_1)

        upscaler2Index = upscaler_to_index(req.upscaler_2)

        reqDict = vars(req)

        reqDict.pop('upscaler_1')

        reqDict.pop('upscaler_2')

        reqDict = setUpscalers(req)

        reqDict['image'] = processing_utils.decode_base64_to_image(reqDict['image'])

        reqDict['image'] = decode_base64_to_image(reqDict['image'])

        with self.queue_lock:

            result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=0, image_folder="", input_dir="", output_dir="")

            result = run_extras(extras_mode=0, image_folder="", input_dir="", output_dir="", **reqDict)

        return ExtrasSingleImageResponse(image=processing_utils.encode_pil_to_base64(result[0][0]), html_info_x=result[1], html_info=result[2])

        return ExtrasSingleImageResponse(image=encode_pil_to_base64(result[0][0]), html_info_x=result[1], html_info=result[2])

    def extras_batch_images_api(self, req: ExtrasBatchImagesRequest):

        upscaler1Index = upscaler_to_index(req.upscaler_1)

        upscaler2Index = upscaler_to_index(req.upscaler_2)

        reqDict = setUpscalers(req)

        reqDict = vars(req)

        reqDict.pop('upscaler_1')

        reqDict.pop('upscaler_2')

        reqDict['image_folder'] = list(map(processing_utils.decode_base64_to_file, reqDict['imageList']))

        reqDict['image_folder'] = list(map(decode_base64_to_file, reqDict['imageList']))

        reqDict.pop('imageList')

        with self.queue_lock:

            result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=1, image="", input_dir="", output_dir="")

            result = run_extras(extras_mode=1, image="", input_dir="", output_dir="", **reqDict)

        return ExtrasBatchImagesResponse(images=list(map(processing_utils.encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])

        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])

    def extras_folder_processing_api(self):

        raise NotImplementedError

    def extras_folder_processing_api(self, req:ExtrasFoldersRequest):

        reqDict = setUpscalers(req)

        with self.queue_lock:

            result = run_extras(extras_mode=2, image=None, image_folder=None, **reqDict)

        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])

    def pnginfoapi(self):

        raise NotImplementedError

class ExtrasBatchImagesResponse(ExtraBaseResponse):

    images: list[str] = Field(title="Images", description="The generated images in base64 format.")

class ExtrasFoldersRequest(ExtrasBaseRequest):

    input_dir: str = Field(title="Input directory", description="Directory path from where to take the images")

    output_dir: str = Field(title="Output directory", description="Directory path to put the processsed images into")