from __future__ import annotations

from aiohttp import ClientSession
import json

from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ...image import ImageResponse


class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
    label = "Nexra Prodia AI"
    url = "https://nexra.aryahcr.cc/documentation/prodia/en"
    api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
    working = False
    
    default_model = 'absolutereality_v181.safetensors [3d9d4d2b]'
    models = [
        '3Guofeng3_v34.safetensors [50f420de]',
        'absolutereality_V16.safetensors [37db0fc3]',
        default_model,
        'amIReal_V41.safetensors [0a8a2e61]',
        'analog-diffusion-1.0.ckpt [9ca13f02]',
        'aniverse_v30.safetensors [579e6f85]',
        'anythingv3_0-pruned.ckpt [2700c435]',
        'anything-v4.5-pruned.ckpt [65745d25]',
        'anythingV5_PrtRE.safetensors [893e49b9]',
        'AOM3A3_orangemixs.safetensors [9600da17]',
        'blazing_drive_v10g.safetensors [ca1c1eab]',
        'breakdomain_I2428.safetensors [43cc7d2f]',
        'breakdomain_M2150.safetensors [15f7afca]',
        'cetusMix_Version35.safetensors [de2f2560]',
        'childrensStories_v13D.safetensors [9dfaabcb]',
        'childrensStories_v1SemiReal.safetensors [a1c56dbb]',
        'childrensStories_v1ToonAnime.safetensors [2ec7b88b]',
        'Counterfeit_v30.safetensors [9e2a8f19]',
        'cuteyukimixAdorable_midchapter3.safetensors [04bdffe6]',
        'cyberrealistic_v33.safetensors [82b0d085]',
        'dalcefo_v4.safetensors [425952fe]',
        'deliberate_v2.safetensors [10ec4b29]',
        'deliberate_v3.safetensors [afd9d2d4]',
        'dreamlike-anime-1.0.safetensors [4520e090]',
        'dreamlike-diffusion-1.0.safetensors [5c9fd6e0]',
        'dreamlike-photoreal-2.0.safetensors [fdcf65e7]',
        'dreamshaper_6BakedVae.safetensors [114c8abb]',
        'dreamshaper_7.safetensors [5cf5ae06]',
        'dreamshaper_8.safetensors [9d40847d]',
        'edgeOfRealism_eorV20.safetensors [3ed5de15]',
        'EimisAnimeDiffusion_V1.ckpt [4f828a15]',
        'elldreths-vivid-mix.safetensors [342d9d26]',
        'epicphotogasm_xPlusPlus.safetensors [1a8f6d35]',
        'epicrealism_naturalSinRC1VAE.safetensors [90a4c676]',
        'epicrealism_pureEvolutionV3.safetensors [42c8440c]',
        'ICantBelieveItsNotPhotography_seco.safetensors [4e7a3dfd]',
        'indigoFurryMix_v75Hybrid.safetensors [91208cbb]',
        'juggernaut_aftermath.safetensors [5e20c455]',
        'lofi_v4.safetensors [ccc204d6]',
        'lyriel_v16.safetensors [68fceea2]',
        'majicmixRealistic_v4.safetensors [29d0de58]',
        'mechamix_v10.safetensors [ee685731]',
        'meinamix_meinaV9.safetensors [2ec66ab0]',
        'meinamix_meinaV11.safetensors [b56ce717]',
        'neverendingDream_v122.safetensors [f964ceeb]',
        'openjourney_V4.ckpt [ca2f377f]',
        'pastelMixStylizedAnime_pruned_fp16.safetensors [793a26e8]',
        'portraitplus_V1.0.safetensors [1400e684]',
        'protogenx34.safetensors [5896f8d5]',
        'Realistic_Vision_V1.4-pruned-fp16.safetensors [8d21810b]',
        'Realistic_Vision_V2.0.safetensors [79587710]',
        'Realistic_Vision_V4.0.safetensors [29a7afaa]',
        'Realistic_Vision_V5.0.safetensors [614d1063]',
        'Realistic_Vision_V5.1.safetensors [a0f13c83]',
        'redshift_diffusion-V10.safetensors [1400e684]',
        'revAnimated_v122.safetensors [3f4fefd9]',
        'rundiffusionFX25D_v10.safetensors [cd12b0ee]',
        'rundiffusionFX_v10.safetensors [cd4e694d]',
        'sdv1_4.ckpt [7460a6fa]',
        'v1-5-pruned-emaonly.safetensors [d7049739]',
        'v1-5-inpainting.safetensors [21c7ab71]',
        'shoninsBeautiful_v10.safetensors [25d8c546]',
        'theallys-mix-ii-churned.safetensors [5d9225a4]',
        'timeless-1.0.ckpt [7c4971d4]',
        'toonyou_beta6.safetensors [980f6b15]',
    ]
    
    model_aliases = {
    }

    @classmethod
    def get_model(cls, model: str) -> str:
        if model in cls.models:
            return model
        elif model in cls.model_aliases:
            return cls.model_aliases[model]
        else:
            return cls.default_model

    @classmethod
    async def create_async_generator(
        cls,
        model: str, # Select from the list of models
        messages: Messages,
        proxy: str = None,
        response: str = "url", # base64 or url
        steps: str = 25, # Min: 1, Max: 30
        cfg_scale: str = 7, # Min: 0, Max: 20
        sampler: str = "DPM++ 2M Karras", # Select from these: "Euler","Euler a","Heun","DPM++ 2M Karras","DPM++ SDE Karras","DDIM"
        negative_prompt: str = "", # Indicates what the AI should not do
        **kwargs
    ) -> AsyncResult:
        model = cls.get_model(model)
        
        headers = {
            "Content-Type": "application/json"
        }
        async with ClientSession(headers=headers) as session:
            prompt = messages[0]['content']
            data = {
                "prompt": prompt,
                "model": "prodia",
                "response": response,
                "data": {
                    "model": model,
                    "steps": steps,
                    "cfg_scale": cfg_scale,
                    "sampler": sampler,
                    "negative_prompt": negative_prompt
                }
            }
            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
                text_data = await response.text()
                
                if response.status == 200:
                    try:
                        json_start = text_data.find('{')
                        json_data = text_data[json_start:]
                        
                        data = json.loads(json_data)
                        if 'images' in data and len(data['images']) > 0:
                            image_url = data['images'][-1]
                            yield ImageResponse(image_url, prompt)
                        else:
                            yield ImageResponse("No images found in the response.", prompt)
                    except json.JSONDecodeError:
                        yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)
                else:
                    yield ImageResponse(f"Request failed with status: {response.status}", prompt)