mirror of
https://github.com/leonvanzyl/autocoder.git
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Adds the ability to add multiple features to an existing project through a natural language conversation with Claude, similar to how initial spec creation works. Features: - New "Expand" button in header (keyboard shortcut: E) - Full-screen chat interface for describing new features - Claude reads existing app_spec.txt for context - Features created directly in database after user approval - Bulk feature creation endpoint for batch operations New files: - .claude/commands/expand-project.md - Claude skill for expansion - server/services/expand_chat_session.py - Chat session service - server/routers/expand_project.py - WebSocket endpoint - ui/src/components/ExpandProjectChat.tsx - Chat UI - ui/src/components/ExpandProjectModal.tsx - Modal wrapper - ui/src/hooks/useExpandChat.ts - WebSocket hook Modified: - Added POST /bulk endpoint to features router - Added FeatureBulkCreate schemas - Integrated Expand button and modal in App.tsx Co-Authored-By: Claude <noreply@anthropic.com>
254 lines
6.8 KiB
Python
254 lines
6.8 KiB
Python
"""
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Pydantic Schemas
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================
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Request/Response models for the API endpoints.
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"""
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import base64
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from datetime import datetime
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from typing import Literal
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from pydantic import BaseModel, Field, field_validator
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# ============================================================================
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# Project Schemas
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# ============================================================================
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class ProjectCreate(BaseModel):
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"""Request schema for creating a new project."""
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name: str = Field(..., min_length=1, max_length=50, pattern=r'^[a-zA-Z0-9_-]+$')
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path: str = Field(..., min_length=1, description="Absolute path to project directory")
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spec_method: Literal["claude", "manual"] = "claude"
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class ProjectStats(BaseModel):
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"""Project statistics."""
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passing: int = 0
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in_progress: int = 0
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total: int = 0
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percentage: float = 0.0
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class ProjectSummary(BaseModel):
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"""Summary of a project for list view."""
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name: str
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path: str
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has_spec: bool
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stats: ProjectStats
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class ProjectDetail(BaseModel):
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"""Detailed project information."""
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name: str
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path: str
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has_spec: bool
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stats: ProjectStats
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prompts_dir: str
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class ProjectPrompts(BaseModel):
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"""Project prompt files content."""
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app_spec: str = ""
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initializer_prompt: str = ""
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coding_prompt: str = ""
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class ProjectPromptsUpdate(BaseModel):
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"""Request schema for updating project prompts."""
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app_spec: str | None = None
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initializer_prompt: str | None = None
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coding_prompt: str | None = None
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# ============================================================================
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# Feature Schemas
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# ============================================================================
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class FeatureBase(BaseModel):
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"""Base feature attributes."""
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category: str
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name: str
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description: str
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steps: list[str]
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class FeatureCreate(FeatureBase):
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"""Request schema for creating a new feature."""
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priority: int | None = None
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class FeatureResponse(FeatureBase):
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"""Response schema for a feature."""
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id: int
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priority: int
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passes: bool
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in_progress: bool
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class Config:
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from_attributes = True
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class FeatureListResponse(BaseModel):
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"""Response containing list of features organized by status."""
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pending: list[FeatureResponse]
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in_progress: list[FeatureResponse]
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done: list[FeatureResponse]
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class FeatureBulkCreate(BaseModel):
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"""Request schema for bulk creating features."""
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features: list[FeatureCreate]
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starting_priority: int | None = None # If None, appends after max priority
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class FeatureBulkCreateResponse(BaseModel):
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"""Response for bulk feature creation."""
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created: int
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features: list[FeatureResponse]
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# ============================================================================
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# Agent Schemas
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# ============================================================================
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class AgentStartRequest(BaseModel):
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"""Request schema for starting the agent."""
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yolo_mode: bool = False
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class AgentStatus(BaseModel):
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"""Current agent status."""
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status: Literal["stopped", "running", "paused", "crashed"]
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pid: int | None = None
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started_at: datetime | None = None
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yolo_mode: bool = False
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class AgentActionResponse(BaseModel):
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"""Response for agent control actions."""
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success: bool
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status: str
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message: str = ""
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# ============================================================================
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# Setup Schemas
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# ============================================================================
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class SetupStatus(BaseModel):
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"""System setup status."""
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claude_cli: bool
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credentials: bool
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node: bool
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npm: bool
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# ============================================================================
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# WebSocket Message Schemas
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# ============================================================================
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class WSProgressMessage(BaseModel):
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"""WebSocket message for progress updates."""
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type: Literal["progress"] = "progress"
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passing: int
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total: int
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percentage: float
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class WSFeatureUpdateMessage(BaseModel):
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"""WebSocket message for feature status updates."""
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type: Literal["feature_update"] = "feature_update"
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feature_id: int
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passes: bool
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class WSLogMessage(BaseModel):
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"""WebSocket message for agent log output."""
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type: Literal["log"] = "log"
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line: str
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timestamp: datetime
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class WSAgentStatusMessage(BaseModel):
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"""WebSocket message for agent status changes."""
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type: Literal["agent_status"] = "agent_status"
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status: str
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# ============================================================================
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# Spec Chat Schemas
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# ============================================================================
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# Maximum image file size: 5 MB
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MAX_IMAGE_SIZE = 5 * 1024 * 1024
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class ImageAttachment(BaseModel):
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"""Image attachment from client for spec creation chat."""
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filename: str = Field(..., min_length=1, max_length=255)
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mimeType: Literal['image/jpeg', 'image/png']
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base64Data: str
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@field_validator('base64Data')
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@classmethod
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def validate_base64_and_size(cls, v: str) -> str:
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"""Validate that base64 data is valid and within size limit."""
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try:
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decoded = base64.b64decode(v)
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if len(decoded) > MAX_IMAGE_SIZE:
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raise ValueError(
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f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
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f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
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)
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return v
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except Exception as e:
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if 'Image size' in str(e):
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raise
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raise ValueError(f'Invalid base64 data: {e}')
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# ============================================================================
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# Filesystem Schemas
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# ============================================================================
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class DriveInfo(BaseModel):
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"""Information about a drive (Windows only)."""
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letter: str
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label: str
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available: bool = True
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class DirectoryEntry(BaseModel):
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"""An entry in a directory listing."""
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name: str
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path: str # POSIX format
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is_directory: bool
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is_hidden: bool = False
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size: int | None = None # Bytes, for files
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has_children: bool = False # True if directory has subdirectories
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class DirectoryListResponse(BaseModel):
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"""Response for directory listing."""
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current_path: str # POSIX format
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parent_path: str | None
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entries: list[DirectoryEntry]
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drives: list[DriveInfo] | None = None # Windows only
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class PathValidationResponse(BaseModel):
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"""Response for path validation."""
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valid: bool
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exists: bool
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is_directory: bool
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can_read: bool
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can_write: bool
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message: str = ""
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class CreateDirectoryRequest(BaseModel):
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"""Request to create a new directory."""
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parent_path: str
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name: str = Field(..., min_length=1, max_length=255)
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