feat: Add image, update VS Code launch configuration, and enhance gitignore rules for build artifacts.

.gitignore

@@ -8,4 +8,18 @@ minio_backup.tar.gz
 .idea/ai-char-bot.iml
 .idea
 .venv
-.vscode
+.vscode
+.vscode/launch.json
+middlewares/__pycache__/
+middlewares/*.pyc
+api/__pycache__/
+api/*.pyc
+repos/__pycache__/
+repos/*.pyc
+adapters/__pycache__/
+adapters/*.pyc
+services/__pycache__/
+services/*.pyc
+utils/__pycache__/
+utils/*.pyc
+.vscode/launch.json

.vscode/launch.json

@@ -7,7 +7,7 @@
             "request": "launch",
             "module": "uvicorn",
             "args": [
-                "main:app",
+                "aiws:app",
                 "--reload",
                 "--port",
                 "8090",
@@ -16,31 +16,6 @@
             ],
             "jinja": true,
             "justMyCode": true
-        },
-        {
-            "name": "Python: Current File",
-            "type": "debugpy",
-            "request": "launch",
-            "program": "${file}",
-            "console": "integratedTerminal",
-            "justMyCode": true,
-            "env": {
-                "PYTHONPATH": "${workspaceFolder}"
-            }
-        },
-        {
-            "name": "Debug Tests: Current File",
-            "type": "debugpy",
-            "request": "launch",
-            "module": "pytest",
-            "args": [
-                "${file}"
-            ],
-            "console": "integratedTerminal",
-            "justMyCode": true,
-            "env": {
-                "PYTHONPATH": "${workspaceFolder}"
-            }
         }
     ]
 }

adapters/google_adapter.py

@@ -23,28 +23,30 @@ class GoogleAdapter:
         self.TEXT_MODEL = "gemini-3-pro-preview"
         self.IMAGE_MODEL = "gemini-3-pro-image-preview"
 
-    def _prepare_contents(self, prompt: str, images_list: List[bytes] = None) -> list:
-        """Вспомогательный метод для подготовки контента (текст + картинки)"""
+    def _prepare_contents(self, prompt: str, images_list: List[bytes] = None) -> tuple:
+        """Вспомогательный метод для подготовки контента (текст + картинки).
+        Returns (contents, opened_images) — caller MUST close opened_images after use."""
         contents = [prompt]
+        opened_images = []
         if images_list:
             logger.info(f"Preparing content with {len(images_list)} images")
             for img_bytes in images_list:
                 try:
-                    # Gemini API требует PIL Image на входе
                     image = Image.open(io.BytesIO(img_bytes))
                     contents.append(image)
+                    opened_images.append(image)
                 except Exception as e:
                     logger.error(f"Error processing input image: {e}")
         else:
             logger.info("Preparing content with no images")
-        return contents
+        return contents, opened_images
 
     def generate_text(self, prompt: str, images_list: List[bytes] = None) -> str:
         """
         Генерация текста (Чат или Vision).
         Возвращает строку с ответом.
         """
-        contents = self._prepare_contents(prompt, images_list)
+        contents, opened_images = self._prepare_contents(prompt, images_list)
         logger.info(f"Generating text: {prompt}")
         try:
             response = self.client.models.generate_content(
@@ -68,6 +70,9 @@ class GoogleAdapter:
         except Exception as e:
             logger.error(f"Gemini Text API Error: {e}")
             raise GoogleGenerationException(f"Gemini Text API Error: {e}")
+        finally:
+            for img in opened_images:
+                img.close()
 
     def generate_image(self, prompt: str, aspect_ratio: AspectRatios, quality: Quality, images_list: List[bytes] = None, ) -> Tuple[List[io.BytesIO], Dict[str, Any]]:
         """
@@ -75,7 +80,7 @@ class GoogleAdapter:
         Возвращает список байтовых потоков (готовых к отправке).
         """
 
-        contents = self._prepare_contents(prompt, images_list)
+        contents, opened_images = self._prepare_contents(prompt, images_list)
         logger.info(f"Generating image. Prompt length: {len(prompt)}, Ratio: {aspect_ratio}, Quality: {quality}")
 
         start_time = datetime.now()
@@ -147,4 +152,8 @@ class GoogleAdapter:
 
         except Exception as e:
             logger.error(f"Gemini Image API Error: {e}")
-            raise GoogleGenerationException(f"Gemini Image API Error: {e}")
+            raise GoogleGenerationException(f"Gemini Image API Error: {e}")
+        finally:
+            for img in opened_images:
+                img.close()
+            del contents

adapters/s3_adapter.py

@@ -56,6 +56,21 @@ class S3Adapter:
             print(f"Error downloading from S3: {e}")
             return None
 
+    async def stream_file(self, object_name: str, chunk_size: int = 65536):
+        """Streams a file from S3 yielding chunks. Memory-efficient for large files."""
+        try:
+            async with self._get_client() as client:
+                response = await client.get_object(Bucket=self.bucket_name, Key=object_name)
+                async with response['Body'] as stream:
+                    while True:
+                        chunk = await stream.read(chunk_size)
+                        if not chunk:
+                            break
+                        yield chunk
+        except ClientError as e:
+            print(f"Error streaming from S3: {e}")
+            return
+
     async def delete_file(self, object_name: str):
         """Deletes a file from S3."""
         try:

api/endpoints/assets_router.py

@@ -9,7 +9,7 @@ from pymongo import MongoClient
 from starlette import status
 from starlette.exceptions import HTTPException
 from starlette.requests import Request
-from starlette.responses import Response, JSONResponse
+from starlette.responses import Response, JSONResponse, StreamingResponse
 
 from adapters.s3_adapter import S3Adapter
 from api.models.AssetDTO import AssetsResponse, AssetResponse
@@ -33,27 +33,46 @@ async def get_asset(
     asset_id: str, 
     request: Request,
     thumbnail: bool = False,
-    dao: DAO = Depends(get_dao)
+    dao: DAO = Depends(get_dao),
+    s3_adapter: S3Adapter = Depends(get_s3_adapter),
 ) -> Response:
     logger.debug(f"get_asset called for ID: {asset_id}, thumbnail={thumbnail}")
-    asset = await dao.assets.get_asset(asset_id)
-    # 2. Проверка на существование
+    # Загружаем только метаданные (без data/thumbnail bytes)
+    asset = await dao.assets.get_asset(asset_id, with_data=False)
     if not asset:
         raise HTTPException(status_code=404, detail="Asset not found")
     
     headers = {
-        # Кэшировать на 1 год (31536000 сек)
         "Cache-Control": "public, max-age=31536000, immutable"
     }
     
-    content = asset.data
-    media_type = "image/png" # Default, or detect
+    # Thumbnail: маленький, можно грузить в RAM
+    if thumbnail:
+        if asset.minio_thumbnail_object_name and s3_adapter:
+            thumb_bytes = await s3_adapter.get_file(asset.minio_thumbnail_object_name)
+            if thumb_bytes:
+                return Response(content=thumb_bytes, media_type="image/jpeg", headers=headers)
+        # Fallback: thumbnail in DB
+        if asset.thumbnail:
+            return Response(content=asset.thumbnail, media_type="image/jpeg", headers=headers)
+        # No thumbnail available — fall through to main content
     
-    if thumbnail and asset.thumbnail:
-        content = asset.thumbnail
-        media_type = "image/jpeg"
-        
-    return Response(content=content, media_type=media_type, headers=headers)
+    # Main content: стримим из S3 без загрузки в RAM
+    if asset.minio_object_name and s3_adapter:
+        content_type = "image/png"
+        if asset.content_type == AssetContentType.VIDEO:
+            content_type = "video/mp4"
+        return StreamingResponse(
+            s3_adapter.stream_file(asset.minio_object_name),
+            media_type=content_type,
+            headers=headers,
+        )
+    
+    # Fallback: data stored in DB (legacy)
+    if asset.data:
+        return Response(content=asset.data, media_type="image/png", headers=headers)
+    
+    raise HTTPException(status_code=404, detail="Asset data not found")
 
 @router.delete("/orphans", dependencies=[Depends(get_current_user)])
 async def delete_orphan_assets_from_minio(

api/service/generation_service.py

@@ -50,16 +50,18 @@ async def generate_image_task(
         logger.info(f"generate_image_task completed, received {len(generated_images_io) if generated_images_io else 0} images")
     except GoogleGenerationException as e:
         raise e
+    finally:
+        # Освобождаем входные данные — они больше не нужны
+        del media_group_bytes
+
     images_bytes = []
     if generated_images_io:
         for img_io in generated_images_io:
-            # Читаем байты из BytesIO
             img_io.seek(0)
-            content = img_io.read()
-            images_bytes.append(content)
-
-            # Закрываем поток
+            images_bytes.append(img_io.read())
             img_io.close()
+        # Освобождаем список BytesIO сразу
+        del generated_images_io
 
     return images_bytes, metrics