189 lines
8.4 KiB
Python
189 lines
8.4 KiB
Python
import asyncio
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import logging
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import random
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from datetime import datetime, UTC
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from typing import List, Optional
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from io import BytesIO
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from adapters.google_adapter import GoogleAdapter
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from api.models.GenerationRequest import GenerationRequest, GenerationResponse
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# Импортируйте ваши модели DAO, Asset, Generation корректно
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from models.Asset import Asset, AssetType
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from models.Generation import Generation, GenerationStatus
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from models.enums import AspectRatios, Quality
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from repos.dao import DAO
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logger = logging.getLogger(__name__)
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# --- Вспомогательная функция генерации ---
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async def generate_image_task(
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prompt: str,
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media_group_bytes: List[bytes],
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aspect_ratio: AspectRatios,
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quality: Quality,
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gemini: GoogleAdapter
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) -> List[bytes]:
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"""
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Обертка для вызова синхронного метода Gemini в отдельном потоке.
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Возвращает список байтов сгенерированных изображений.
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"""
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# Запускаем блокирующую операцию в отдельном потоке, чтобы не тормозить Event Loop
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generated_images_io: List[BytesIO] = await asyncio.to_thread(
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gemini.generate_image,
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prompt=prompt,
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images_list=media_group_bytes,
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aspect_ratio=aspect_ratio,
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quality=quality,
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)
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images_bytes = []
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if generated_images_io:
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for img_io in generated_images_io:
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# Читаем байты из BytesIO
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img_io.seek(0)
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content = img_io.read()
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images_bytes.append(content)
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# Закрываем поток
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img_io.close()
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return images_bytes
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class GenerationService:
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def __init__(self, dao: DAO, gemini: GoogleAdapter):
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self.dao = dao
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self.gemini = gemini
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async def ask_prompt_assistant(self, prompt: str, assets: List[str] = None) -> str:
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future_prompt = """You are an prompt-assistant. You improving user-entered prompts for image generation. User may upload reference image too.
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I will provide sources prompt entered by user. Understand user needs and generate best variation of prompt.
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ANSWER ONLY PROMPT STRING!!! USER_ENTERED_PROMPT:"""
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future_prompt += prompt
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assets_data = []
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if assets is not None:
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assets_data = await self.dao.assets.get_assets_by_ids(assets)
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generated_prompt = self.gemini.generate_text(future_prompt, assets_data)
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logger.info(future_prompt)
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logger.info(generated_prompt)
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return generated_prompt
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async def get_generations(self, character_id: Optional[str] = None, limit: int = 10, offset: int = 0) -> List[
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Generation]:
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return await self.dao.generations.get_generations(limit=limit, offset=offset)
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async def get_generation(self, generation_id: str) -> Optional[GenerationResponse]:
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gen = await self.dao.generations.get_generation(generation_id)
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if gen is None:
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return None
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else:
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return GenerationResponse(**gen.model_dump())
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async def get_running_generations(self) -> List[Generation]:
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return await self.dao.generations.get_generations(status=GenerationStatus.RUNNING)
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async def create_generation_task(self, generation_request: GenerationRequest) -> GenerationResponse:
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gen_id = None
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generation_model = None
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try:
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generation_model = Generation(**generation_request.model_dump())
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gen_id = await self.dao.generations.create_generation(generation_model)
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generation_model.id = gen_id
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async def runner(gen):
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try:
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await self.create_generation(gen)
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except Exception:
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# если генерация уже пошла и упала — пометим FAILED
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try:
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db_gen = await self.dao.generations.get_generation(gen.id)
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db_gen.status = GenerationStatus.FAILED
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await self.dao.generations.update_generation(db_gen)
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except Exception:
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logger.exception("Failed to mark generation as FAILED")
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logger.exception("create_generation task failed")
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asyncio.create_task(runner(generation_model))
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return GenerationResponse(**generation_model.model_dump())
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except Exception:
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# если не успели создать запись — нечего помечать
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if gen_id is not None:
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try:
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gen = await self.dao.generations.get_generation(gen_id)
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gen.status = GenerationStatus.FAILED
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await self.dao.generations.update_generation(gen)
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except Exception:
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logger.exception("Failed to mark generation as FAILED in create_generation_task")
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raise
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async def create_generation(self, generation: Generation):
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# 2. Получаем ассеты-референсы (если они есть)
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reference_assets: List[Asset] = []
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media_group_bytes: List[bytes] = []
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generation_prompt = "You are creating image. "
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if generation.linked_character_id is not None:
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char_info = await self.dao.chars.get_character(generation.linked_character_id, with_image_data=True)
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if char_info is None:
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raise Exception(f"Character ID {generation.linked_character_id} not found")
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media_group_bytes.append(char_info.character_image_data)
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generation_prompt = f"""You are creating image for {char_info.character_bio}"""
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reference_assets = await self.dao.assets.get_assets_by_ids(generation.assets_list)
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# Извлекаем данные (bytes) из ассетов для отправки в Gemini
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# Фильтруем, чтобы отправлять только картинки, и где есть data
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media_group_bytes.extend(
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asset.data
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for asset in reference_assets
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if asset.data is not None and asset.type == AssetType.IMAGE
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)
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generation_prompt+=f"PROMPT: {generation.prompt}"
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# 3. Запускаем процесс генерации
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try:
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generated_bytes_list = await generate_image_task(
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prompt=generation_prompt, # или request.prompt
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media_group_bytes=media_group_bytes,
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aspect_ratio=generation.aspect_ratio, # предполагаем поля в request
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quality=generation.quality,
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gemini=self.gemini
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)
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except Exception as e:
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# Тут стоит добавить логирование ошибки
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logging.error(f"Generation failed: {e}")
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# Можно обновить статус генерации на FAILED в БД
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raise e
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# 4. Сохраняем полученные изображения как новые Ассеты
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created_assets: List[Asset] = []
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for idx, img_bytes in enumerate(generated_bytes_list):
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new_asset = Asset(
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name=f"Generated_{generation.linked_character_id}_{random.randint(1000, 9999)}",
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type=AssetType.IMAGE,
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linked_char_id=generation.linked_character_id, # Если генерация привязана к персонажу
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data=img_bytes,
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# Остальные поля заполнятся дефолтными значениями (created_at)
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)
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# Сохраняем в БД
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asset_id = await self.dao.assets.create_asset(new_asset)
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new_asset.id = str(asset_id) # Присваиваем ID, полученный от базы
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created_assets.append(new_asset)
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# 5. (Опционально) Обновляем запись генерации ссылками на результаты
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# Предполагаем, что у модели Generation есть поле result_asset_ids
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result_ids = [a.id for a in created_assets]
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generation.assets_list = result_ids
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generation.status = GenerationStatus.DONE
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generation.updated_at = datetime.now(UTC)
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generation.tech_prompt = generation_prompt
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await self.dao.generations.update_generation(generation)
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