paintplus: vendor the app source and rename from EditmaskwithAI

Bring the full EditmaskwithAI application into the repo under paintplus/ (429 files) so the service is self-contained — the installer copies the vendored source to ~/docker/paintplus/src instead of cloning at runtime. Rename to PaintPlus (service + branding; app logic untouched): - services/editmaskwithai.sh -> services/paintplus.sh (register_service paintplus, install_paintplus, ~/docker/paintplus, Caddy paintplus:8000, Authelia option preserved) - container names -> paintplus across docker-compose*.yml; dev network -> paintplus-network - browser <title> -> "PaintPlus - AI Image Editor"; README heading -> PaintPlus with upstream provenance note - README utilities table: editmaskwithai -> paintplus Backend/frontend code (help strings referencing the old container name, the ai_photo_edit.db filename) is intentionally left as-is to avoid touching application logic. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Nb2vJ8W7bHKx1JXVvpCraH
2026-06-26 05:48:43 +00:00
parent b4e8ba2a79
commit 084922afaa
431 changed files with 87396 additions and 77 deletions
@@ -0,0 +1,138 @@
+from pydantic import BaseModel, EmailStr
+from typing import Optional, List, Dict, Any
+from datetime import datetime
+
+
+# User schemas
+class UserCreate(BaseModel):
+    email: EmailStr
+    password: str
+
+
+class UserResponse(BaseModel):
+    id: int
+    email: str
+    created_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+# Project schemas
+class ProjectCreate(BaseModel):
+    name: str
+
+
+class ProjectResponse(BaseModel):
+    id: int
+    user_id: int
+    name: str
+    created_at: datetime
+    updated_at: datetime
+
+    class Config:
+        from_attributes = True
+
+
+# Edit schemas
+class EditRequest(BaseModel):
+    prompt: str
+    mode: str = "A"  # "A" or "B"
+    selection_type: str  # "rectangle", "ellipse", "lasso"
+    bbox: Dict[str, int]  # {x, y, width, height}
+    feather_px: int = 0
+    selection_data: Optional[Dict[str, Any]] = None
+
+
+class EditResponse(BaseModel):
+    id: int
+    project_id: int
+    created_at: datetime
+    mode: str
+    prompt: str
+    selection_type: str
+    bbox_json: str
+    feather_px: int
+    ai_provider: str
+    status: str
+    error_message: Optional[str] = None
+
+    class Config:
+        from_attributes = True
+
+
+# Image upload
+class UploadResponse(BaseModel):
+    project_id: int
+    original_url: str
+    current_url: str
+
+
+# Patch Library schemas
+class PatchCreate(BaseModel):
+    name: str
+    description: Optional[str] = None
+    source_type: str  # "ai_generated", "manual_selection", "imported"
+    source_project_id: Optional[int] = None
+    source_edit_id: Optional[int] = None
+    category: Optional[str] = None
+    tags: Optional[str] = None
+    bbox: Optional[Dict[str, int]] = None
+
+
+class PatchResponse(BaseModel):
+    id: int
+    name: str
+    description: Optional[str]
+    created_at: datetime
+    source_type: str
+    source_project_id: Optional[int]
+    source_edit_id: Optional[int]
+    width: int
+    height: int
+    tags: Optional[str]
+    category: Optional[str]
+    is_public: bool
+    file_path: str
+    thumbnail_path: Optional[str]
+
+    class Config:
+        from_attributes = True
+
+
+class PatchApply(BaseModel):
+    project_id: int
+    patch_id: int
+    bbox: Dict[str, int]
+    feather_px: int = 5
+
+
+# Text-to-Image schemas
+class TextToImageRequest(BaseModel):
+    prompt: str
+    width: int = 1024
+    height: int = 1024
+    negative_prompt: Optional[str] = None
+    ai_provider: Optional[str] = None
+    ai_model: Optional[str] = None
+    create_project: bool = True
+    project_name: Optional[str] = None
+
+
+class TextToImageResponse(BaseModel):
+    status: str
+    prompt: str
+    width: int
+    height: int
+    project_id: Optional[int] = None
+    image_url: Optional[str] = None
+    layer_position: Optional[Dict[str, int]] = None
+    ai_provider: str
+    ai_model: Optional[str] = None
+
+
+# Generic responses
+class StatusResponse(BaseModel):
+    status: str
+    message: Optional[str] = None
+    data: Optional[Any] = None