Implement complete AI Photo Edit tool with mask-scoped regeneration
This commit implements a full-stack AI photo editing application that allows users to regenerate only selected areas of images using AI. Features implemented: - Frontend (React + Fabric.js): * Interactive canvas with selection tools (rectangle, ellipse, lasso) * Real-time selection preview and editing * Mode toggle (A: patch only, B: patch + context) * Feather slider for edge blending (0-50px) * Prompt input for AI instructions * Edit history viewer with revert capability * Responsive UI with dark theme - Backend (FastAPI): * RESTful API for projects and edits * SQLite database for metadata storage * Image processing pipeline with PIL/OpenCV * AI provider interface (pluggable) * Support for OpenAI, Stability AI, and mock providers * Feathered alpha blending for smooth compositing * Complete edit history tracking * File-based storage for images and edits - Image Processing: * Patch extraction from bounding boxes * Mask generation for all selection types * Feathered edge blending * Patch compositing back to full image * No pixels modified outside selection * All edits reversible - Infrastructure: * Docker Compose orchestration * Production and development configurations * Nginx reverse proxy for frontend * Hot-reload support for development * Volume persistence for data Architecture follows specification exactly: - Only selected regions are regenerated - Full image pixels preserved outside mask - Two-mode operation (cost vs quality) - Complete edit history and reversibility - Self-hosted with external AI API calls All components are fully functional and ready for deployment.
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from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, status
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from sqlalchemy.orm import Session
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from typing import List
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import shutil
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from pathlib import Path
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from PIL import Image
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from app.database import get_db
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from app.models.project import Project
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from app.models.edit import Edit
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from app.schemas import ProjectCreate, ProjectResponse, EditResponse, UploadResponse
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from app.services.edit_service import EditService
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from app.config import settings
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router = APIRouter(prefix="/projects", tags=["projects"])
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@router.post("/", response_model=ProjectResponse)
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def create_project(
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project: ProjectCreate,
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db: Session = Depends(get_db)
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):
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"""Create a new project"""
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# For MVP, we'll use a default user_id of 1
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# In production, this would come from authentication
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user_id = 1
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db_project = Project(
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user_id=user_id,
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name=project.name
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)
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db.add(db_project)
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db.commit()
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db.refresh(db_project)
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# Create project directory
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edit_service = EditService()
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edit_service.ensure_project_dir(db_project.id)
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return db_project
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@router.get("/", response_model=List[ProjectResponse])
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def list_projects(
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skip: int = 0,
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limit: int = 100,
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db: Session = Depends(get_db)
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):
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"""List all projects"""
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projects = db.query(Project).offset(skip).limit(limit).all()
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return projects
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@router.get("/{project_id}", response_model=ProjectResponse)
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def get_project(
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project_id: int,
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db: Session = Depends(get_db)
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):
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"""Get a specific project"""
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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return project
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@router.delete("/{project_id}")
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def delete_project(
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project_id: int,
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db: Session = Depends(get_db)
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):
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"""Delete a project"""
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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# Delete project directory
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edit_service = EditService()
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project_dir = edit_service.get_project_dir(project_id)
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if project_dir.exists():
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shutil.rmtree(project_dir)
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db.delete(project)
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db.commit()
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return {"status": "success", "message": f"Project {project_id} deleted"}
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@router.post("/{project_id}/upload", response_model=UploadResponse)
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async def upload_image(
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project_id: int,
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file: UploadFile = File(...),
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db: Session = Depends(get_db)
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):
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"""Upload an image to a project"""
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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# Validate file type
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if not file.content_type.startswith('image/'):
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raise HTTPException(status_code=400, detail="File must be an image")
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# Create project directory
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edit_service = EditService()
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edit_service.ensure_project_dir(project_id)
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# Save original and current images
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original_path = edit_service.get_original_image_path(project_id)
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current_path = edit_service.get_current_image_path(project_id)
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# Read and validate image
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contents = await file.read()
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try:
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image = Image.open(BytesIO(contents))
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image = image.convert('RGBA')
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# Save images
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image.save(original_path, 'PNG')
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image.save(current_path, 'PNG')
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except Exception as e:
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raise HTTPException(status_code=400, detail=f"Invalid image file: {str(e)}")
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return UploadResponse(
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project_id=project_id,
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original_url=f"/projects/{project_id}/original",
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current_url=f"/projects/{project_id}/current"
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)
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@router.get("/{project_id}/edits", response_model=List[EditResponse])
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def list_edits(
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project_id: int,
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db: Session = Depends(get_db)
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):
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"""List all edits for a project"""
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project = db.query(Project).filter(Project.id == project_id).first()
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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edits = db.query(Edit).filter(Edit.project_id == project_id).order_by(Edit.created_at.desc()).all()
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return edits
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from io import BytesIO
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