Files
autocoder/server/schemas.py
Dan Gentry 5f06dcf464 feat: Add "Expand Project" for bulk AI-powered feature creation
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>
2026-01-09 15:56:01 -05:00

254 lines
6.8 KiB
Python

"""
Pydantic Schemas
================
Request/Response models for the API endpoints.
"""
import base64
from datetime import datetime
from typing import Literal
from pydantic import BaseModel, Field, field_validator
# ============================================================================
# Project Schemas
# ============================================================================
class ProjectCreate(BaseModel):
"""Request schema for creating a new project."""
name: str = Field(..., min_length=1, max_length=50, pattern=r'^[a-zA-Z0-9_-]+$')
path: str = Field(..., min_length=1, description="Absolute path to project directory")
spec_method: Literal["claude", "manual"] = "claude"
class ProjectStats(BaseModel):
"""Project statistics."""
passing: int = 0
in_progress: int = 0
total: int = 0
percentage: float = 0.0
class ProjectSummary(BaseModel):
"""Summary of a project for list view."""
name: str
path: str
has_spec: bool
stats: ProjectStats
class ProjectDetail(BaseModel):
"""Detailed project information."""
name: str
path: str
has_spec: bool
stats: ProjectStats
prompts_dir: str
class ProjectPrompts(BaseModel):
"""Project prompt files content."""
app_spec: str = ""
initializer_prompt: str = ""
coding_prompt: str = ""
class ProjectPromptsUpdate(BaseModel):
"""Request schema for updating project prompts."""
app_spec: str | None = None
initializer_prompt: str | None = None
coding_prompt: str | None = None
# ============================================================================
# Feature Schemas
# ============================================================================
class FeatureBase(BaseModel):
"""Base feature attributes."""
category: str
name: str
description: str
steps: list[str]
class FeatureCreate(FeatureBase):
"""Request schema for creating a new feature."""
priority: int | None = None
class FeatureResponse(FeatureBase):
"""Response schema for a feature."""
id: int
priority: int
passes: bool
in_progress: bool
class Config:
from_attributes = True
class FeatureListResponse(BaseModel):
"""Response containing list of features organized by status."""
pending: list[FeatureResponse]
in_progress: list[FeatureResponse]
done: list[FeatureResponse]
class FeatureBulkCreate(BaseModel):
"""Request schema for bulk creating features."""
features: list[FeatureCreate]
starting_priority: int | None = None # If None, appends after max priority
class FeatureBulkCreateResponse(BaseModel):
"""Response for bulk feature creation."""
created: int
features: list[FeatureResponse]
# ============================================================================
# Agent Schemas
# ============================================================================
class AgentStartRequest(BaseModel):
"""Request schema for starting the agent."""
yolo_mode: bool = False
class AgentStatus(BaseModel):
"""Current agent status."""
status: Literal["stopped", "running", "paused", "crashed"]
pid: int | None = None
started_at: datetime | None = None
yolo_mode: bool = False
class AgentActionResponse(BaseModel):
"""Response for agent control actions."""
success: bool
status: str
message: str = ""
# ============================================================================
# Setup Schemas
# ============================================================================
class SetupStatus(BaseModel):
"""System setup status."""
claude_cli: bool
credentials: bool
node: bool
npm: bool
# ============================================================================
# WebSocket Message Schemas
# ============================================================================
class WSProgressMessage(BaseModel):
"""WebSocket message for progress updates."""
type: Literal["progress"] = "progress"
passing: int
total: int
percentage: float
class WSFeatureUpdateMessage(BaseModel):
"""WebSocket message for feature status updates."""
type: Literal["feature_update"] = "feature_update"
feature_id: int
passes: bool
class WSLogMessage(BaseModel):
"""WebSocket message for agent log output."""
type: Literal["log"] = "log"
line: str
timestamp: datetime
class WSAgentStatusMessage(BaseModel):
"""WebSocket message for agent status changes."""
type: Literal["agent_status"] = "agent_status"
status: str
# ============================================================================
# Spec Chat Schemas
# ============================================================================
# Maximum image file size: 5 MB
MAX_IMAGE_SIZE = 5 * 1024 * 1024
class ImageAttachment(BaseModel):
"""Image attachment from client for spec creation chat."""
filename: str = Field(..., min_length=1, max_length=255)
mimeType: Literal['image/jpeg', 'image/png']
base64Data: str
@field_validator('base64Data')
@classmethod
def validate_base64_and_size(cls, v: str) -> str:
"""Validate that base64 data is valid and within size limit."""
try:
decoded = base64.b64decode(v)
if len(decoded) > MAX_IMAGE_SIZE:
raise ValueError(
f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
)
return v
except Exception as e:
if 'Image size' in str(e):
raise
raise ValueError(f'Invalid base64 data: {e}')
# ============================================================================
# Filesystem Schemas
# ============================================================================
class DriveInfo(BaseModel):
"""Information about a drive (Windows only)."""
letter: str
label: str
available: bool = True
class DirectoryEntry(BaseModel):
"""An entry in a directory listing."""
name: str
path: str # POSIX format
is_directory: bool
is_hidden: bool = False
size: int | None = None # Bytes, for files
has_children: bool = False # True if directory has subdirectories
class DirectoryListResponse(BaseModel):
"""Response for directory listing."""
current_path: str # POSIX format
parent_path: str | None
entries: list[DirectoryEntry]
drives: list[DriveInfo] | None = None # Windows only
class PathValidationResponse(BaseModel):
"""Response for path validation."""
valid: bool
exists: bool
is_directory: bool
can_read: bool
can_write: bool
message: str = ""
class CreateDirectoryRequest(BaseModel):
"""Request to create a new directory."""
parent_path: str
name: str = Field(..., min_length=1, max_length=255)