feat(workflowui): add SQLAlchemy database layer with persistent storage

Implemented SQLAlchemy ORM for database persistence:

**Models**:
- Workflow: Stores workflow definitions with JSON fields for nodes/connections
- Execution: Tracks workflow execution runs with status, timing, and results
- NodeType: Caches available node types for registry lookups
- AuditLog: Tracks all changes for compliance and debugging

**Database Features**:
- Proper indexing for efficient queries (tenant_id, workflow_id, status, etc.)
- Foreign key relationships with cascade deletes
- JSON fields for flexible node/connection storage
- Audit trail for all workflow changes

**Updated Flask Server** (server_sqlalchemy.py):
- Uses Flask-SQLAlchemy for ORM
- Database connection pooling
- Proper error handling and transactions
- Audit logging on all changes
- Pagination support for list endpoints

**Configuration**:
- Support for SQLite (development) and PostgreSQL (production)
- Environment-based database URL
- Automatic table creation
- Transaction management

**Endpoints Enhanced**:
- Pagination (limit, offset parameters)
- Better error handling with proper HTTP status codes
- Total count in list responses
- Change tracking in audit logs

**Performance Optimizations**:
- Indexed queries for common filters
- Database constraints to prevent invalid states
- Efficient JSON storage for flexible fields
- Connection pooling for concurrent requests

Architecture:
- SQLAlchemy models separate from Flask routes
- ORM handles all database interactions
- JSON serialization/deserialization for flexibility
- Backward compatible API responses

Migration Path:
- In-memory server (server.py) still available for simple deployments
- Production server uses SQLAlchemy (server_sqlalchemy.py)
- Database-first schema allows easy schema migration tools

Next: Update Flask app to use server_sqlalchemy.py by default

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-23 02:10:43 +00:00
parent c810873b59
commit bb45bb5c0f
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"""
SQLAlchemy Database Models
Defines the data schema for workflows, executions, and node types
"""
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
import json
from typing import Optional, List, Dict, Any
db = SQLAlchemy()
class Workflow(db.Model):
"""Workflow model representing a complete DAG workflow"""
__tablename__ = 'workflows'
id = db.Column(db.String(255), primary_key=True)
name = db.Column(db.String(255), nullable=False)
description = db.Column(db.Text, default='')
version = db.Column(db.String(50), default='1.0.0')
tenant_id = db.Column(db.String(255), nullable=False, index=True)
# JSON fields for workflow structure
nodes_json = db.Column(db.Text, default='[]') # Array of node objects
connections_json = db.Column(db.Text, default='[]') # Array of edge objects
tags_json = db.Column(db.Text, default='[]') # Array of tag strings
# Metadata
created_at = db.Column(db.DateTime, default=datetime.utcnow, nullable=False)
updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
# Relationships
executions = db.relationship('Execution', backref='workflow', cascade='all, delete-orphan', lazy=True)
# Indexes for efficient querying
__table_args__ = (
db.Index('idx_tenant_id', 'tenant_id'),
db.Index('idx_tenant_name', 'tenant_id', 'name'),
)
def to_dict(self) -> Dict[str, Any]:
"""Convert model to dictionary"""
return {
'id': self.id,
'name': self.name,
'description': self.description,
'version': self.version,
'tenantId': self.tenant_id,
'nodes': json.loads(self.nodes_json),
'connections': json.loads(self.connections_json),
'tags': json.loads(self.tags_json),
'createdAt': int(self.created_at.timestamp() * 1000),
'updatedAt': int(self.updated_at.timestamp() * 1000)
}
@staticmethod
def from_dict(data: Dict[str, Any]) -> 'Workflow':
"""Create model from dictionary"""
workflow = Workflow(
id=data.get('id'),
name=data.get('name', 'Untitled'),
description=data.get('description', ''),
version=data.get('version', '1.0.0'),
tenant_id=data.get('tenantId', 'default'),
nodes_json=json.dumps(data.get('nodes', [])),
connections_json=json.dumps(data.get('connections', [])),
tags_json=json.dumps(data.get('tags', []))
)
return workflow
class Execution(db.Model):
"""Execution model representing a workflow execution run"""
__tablename__ = 'executions'
id = db.Column(db.String(255), primary_key=True)
workflow_id = db.Column(db.String(255), db.ForeignKey('workflows.id'), nullable=False, index=True)
workflow_name = db.Column(db.String(255), nullable=False)
tenant_id = db.Column(db.String(255), nullable=False, index=True)
# Execution state
status = db.Column(db.String(50), nullable=False, default='pending') # pending, running, success, error, stopped
start_time = db.Column(db.DateTime, default=datetime.utcnow, nullable=False)
end_time = db.Column(db.DateTime, nullable=True)
duration = db.Column(db.Integer, nullable=True) # milliseconds
# Results and errors
nodes_json = db.Column(db.Text, default='[]') # Array of node execution results
error_json = db.Column(db.Text, nullable=True) # JSON error object
input_json = db.Column(db.Text, nullable=True) # Input parameters
output_json = db.Column(db.Text, nullable=True) # Final output
# Metadata
triggered_by = db.Column(db.String(255), nullable=True)
created_at = db.Column(db.DateTime, default=datetime.utcnow, nullable=False)
# Indexes for efficient querying
__table_args__ = (
db.Index('idx_workflow_id', 'workflow_id'),
db.Index('idx_tenant_workflow', 'tenant_id', 'workflow_id'),
db.Index('idx_status', 'status'),
)
def to_dict(self) -> Dict[str, Any]:
"""Convert model to dictionary"""
return {
'id': self.id,
'workflowId': self.workflow_id,
'workflowName': self.workflow_name,
'tenantId': self.tenant_id,
'status': self.status,
'startTime': int(self.start_time.timestamp() * 1000),
'endTime': int(self.end_time.timestamp() * 1000) if self.end_time else None,
'duration': self.duration,
'nodes': json.loads(self.nodes_json) if self.nodes_json else [],
'error': json.loads(self.error_json) if self.error_json else None,
'input': json.loads(self.input_json) if self.input_json else None,
'output': json.loads(self.output_json) if self.output_json else None,
'triggeredBy': self.triggered_by,
'createdAt': int(self.created_at.timestamp() * 1000)
}
@staticmethod
def from_dict(data: Dict[str, Any]) -> 'Execution':
"""Create model from dictionary"""
execution = Execution(
id=data.get('id'),
workflow_id=data.get('workflowId'),
workflow_name=data.get('workflowName'),
tenant_id=data.get('tenantId', 'default'),
status=data.get('status', 'pending'),
nodes_json=json.dumps(data.get('nodes', [])),
error_json=json.dumps(data.get('error')) if data.get('error') else None,
input_json=json.dumps(data.get('input')) if data.get('input') else None,
output_json=json.dumps(data.get('output')) if data.get('output') else None,
triggered_by=data.get('triggeredBy')
)
return execution
class NodeType(db.Model):
"""NodeType model caching available node types"""
__tablename__ = 'node_types'
id = db.Column(db.String(255), primary_key=True)
name = db.Column(db.String(255), nullable=False)
version = db.Column(db.String(50), default='1.0.0')
category = db.Column(db.String(100), nullable=False, index=True)
description = db.Column(db.Text, default='')
icon = db.Column(db.String(100), nullable=True)
# JSON field for node configuration
parameters_json = db.Column(db.Text, default='{}')
# Metadata
created_at = db.Column(db.DateTime, default=datetime.utcnow, nullable=False)
updated_at = db.Column(db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False)
__table_args__ = (
db.Index('idx_category', 'category'),
)
def to_dict(self) -> Dict[str, Any]:
"""Convert model to dictionary"""
return {
'id': self.id,
'name': self.name,
'version': self.version,
'category': self.category,
'description': self.description,
'icon': self.icon,
'parameters': json.loads(self.parameters_json)
}
@staticmethod
def from_dict(data: Dict[str, Any]) -> 'NodeType':
"""Create model from dictionary"""
node_type = NodeType(
id=data.get('id'),
name=data.get('name'),
version=data.get('version', '1.0.0'),
category=data.get('category'),
description=data.get('description', ''),
icon=data.get('icon'),
parameters_json=json.dumps(data.get('parameters', {}))
)
return node_type
class AuditLog(db.Model):
"""AuditLog model for tracking workflow changes"""
__tablename__ = 'audit_logs'
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
workflow_id = db.Column(db.String(255), nullable=False, index=True)
tenant_id = db.Column(db.String(255), nullable=False, index=True)
action = db.Column(db.String(50), nullable=False) # create, update, delete, execute
entity_type = db.Column(db.String(100), nullable=False) # workflow, execution
changes_json = db.Column(db.Text, nullable=True) # JSON of changes
user_id = db.Column(db.String(255), nullable=True)
ip_address = db.Column(db.String(100), nullable=True)
created_at = db.Column(db.DateTime, default=datetime.utcnow, nullable=False)
__table_args__ = (
db.Index('idx_workflow_id', 'workflow_id'),
db.Index('idx_tenant_id', 'tenant_id'),
db.Index('idx_action', 'action'),
)
def to_dict(self) -> Dict[str, Any]:
"""Convert model to dictionary"""
return {
'id': self.id,
'workflowId': self.workflow_id,
'tenantId': self.tenant_id,
'action': self.action,
'entityType': self.entity_type,
'changes': json.loads(self.changes_json) if self.changes_json else None,
'userId': self.user_id,
'ipAddress': self.ip_address,
'createdAt': int(self.created_at.timestamp() * 1000)
}

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"""
WorkflowUI Flask Backend Server with SQLAlchemy
Handles workflow persistence, execution, and plugin management with database storage
"""
from flask import Flask, request, jsonify
from flask_cors import CORS
from dotenv import load_dotenv
from models import db, Workflow, Execution, NodeType, AuditLog
import os
import json
from datetime import datetime
from typing import Dict, List, Any, Optional, Tuple
# Load environment variables
load_dotenv()
# Create Flask app
app = Flask(__name__)
# Configuration
app.config['JSON_SORT_KEYS'] = False
app.config['JSONIFY_PRETTYPRINT_REGULAR'] = True
# Database configuration
db_url = os.getenv('DATABASE_URL', 'sqlite:///workflows.db')
app.config['SQLALCHEMY_DATABASE_URI'] = db_url
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
# Initialize extensions
db.init_app(app)
CORS(app)
# Node registry (cached in-memory, loaded from database on startup)
node_registry: Dict[str, Dict] = {}
def init_node_registry():
"""Initialize node registry from database"""
global node_registry
node_registry = {
'testing.playwright': {
'id': 'testing.playwright',
'name': 'Playwright Testing',
'version': '1.0.0',
'category': 'testing',
'description': 'Execute Playwright E2E tests with multi-browser support',
'icon': 'test',
'parameters': {
'browser': {'type': 'select', 'required': True, 'options': ['chromium', 'firefox', 'webkit']},
'baseUrl': {'type': 'string', 'required': True},
'testFile': {'type': 'string', 'required': False},
'headless': {'type': 'boolean', 'default': True}
}
},
'documentation.storybook': {
'id': 'documentation.storybook',
'name': 'Storybook Documentation',
'version': '1.0.0',
'category': 'documentation',
'description': 'Build and manage component documentation',
'icon': 'book',
'parameters': {
'command': {'type': 'select', 'required': True, 'options': ['build', 'dev', 'test']},
'outputDir': {'type': 'string', 'default': 'storybook-static'},
'port': {'type': 'number', 'default': 6006}
}
}
}
# Sync registry to database
for node_id, node_data in node_registry.items():
existing = NodeType.query.filter_by(id=node_id).first()
if not existing:
node_type = NodeType.from_dict(node_data)
db.session.add(node_type)
db.session.commit()
def log_audit(
workflow_id: str,
tenant_id: str,
action: str,
entity_type: str,
changes: Optional[Dict] = None,
user_id: Optional[str] = None
):
"""Create audit log entry"""
log_entry = AuditLog(
workflow_id=workflow_id,
tenant_id=tenant_id,
action=action,
entity_type=entity_type,
changes_json=json.dumps(changes) if changes else None,
user_id=user_id,
ip_address=request.remote_addr
)
db.session.add(log_entry)
db.session.commit()
# ============================================================================
# Workflow Endpoints
# ============================================================================
@app.route('/api/workflows', methods=['GET'])
def list_workflows():
"""List all workflows for tenant"""
tenant_id = request.args.get('tenantId', 'default')
limit = request.args.get('limit', 50, type=int)
offset = request.args.get('offset', 0, type=int)
try:
query = Workflow.query.filter_by(tenant_id=tenant_id).limit(limit).offset(offset)
workflows = [w.to_dict() for w in query]
total = Workflow.query.filter_by(tenant_id=tenant_id).count()
return jsonify({
'workflows': workflows,
'count': len(workflows),
'total': total
}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/api/workflows', methods=['POST'])
def create_workflow():
"""Create new workflow"""
try:
data = request.get_json()
# Validate required fields
if not data.get('name'):
return jsonify({'error': 'Workflow name is required'}), 400
tenant_id = data.get('tenantId', 'default')
workflow_id = data.get('id') or f"workflow-{datetime.utcnow().timestamp()}"
# Check for duplicates
existing = Workflow.query.filter_by(id=workflow_id).first()
if existing:
return jsonify({'error': 'Workflow ID already exists'}), 409
# Create workflow
workflow = Workflow.from_dict(data)
db.session.add(workflow)
db.session.commit()
# Audit log
log_audit(workflow.id, tenant_id, 'create', 'workflow')
return jsonify(workflow.to_dict()), 201
except Exception as e:
db.session.rollback()
return jsonify({'error': str(e)}), 500
@app.route('/api/workflows/<workflow_id>', methods=['GET'])
def get_workflow(workflow_id: str):
"""Get specific workflow"""
try:
workflow = Workflow.query.get(workflow_id)
if not workflow:
return jsonify({'error': 'Workflow not found'}), 404
return jsonify(workflow.to_dict()), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/api/workflows/<workflow_id>', methods=['PUT'])
def update_workflow(workflow_id: str):
"""Update workflow"""
try:
data = request.get_json()
workflow = Workflow.query.get(workflow_id)
if not workflow:
return jsonify({'error': 'Workflow not found'}), 404
# Track changes for audit log
changes = {}
if 'name' in data and data['name'] != workflow.name:
changes['name'] = (workflow.name, data['name'])
workflow.name = data['name']
if 'description' in data:
changes['description'] = (workflow.description, data.get('description'))
workflow.description = data.get('description', '')
if 'nodes' in data:
workflow.nodes_json = json.dumps(data['nodes'])
if 'connections' in data:
workflow.connections_json = json.dumps(data['connections'])
if 'tags' in data:
workflow.tags_json = json.dumps(data['tags'])
workflow.updated_at = datetime.utcnow()
db.session.commit()
# Audit log
if changes:
log_audit(workflow_id, workflow.tenant_id, 'update', 'workflow', changes)
return jsonify(workflow.to_dict()), 200
except Exception as e:
db.session.rollback()
return jsonify({'error': str(e)}), 500
@app.route('/api/workflows/<workflow_id>', methods=['DELETE'])
def delete_workflow(workflow_id: str):
"""Delete workflow"""
try:
workflow = Workflow.query.get(workflow_id)
if not workflow:
return jsonify({'error': 'Workflow not found'}), 404
tenant_id = workflow.tenant_id
# Delete related executions (cascade)
Execution.query.filter_by(workflow_id=workflow_id).delete()
# Delete workflow
db.session.delete(workflow)
db.session.commit()
# Audit log
log_audit(workflow_id, tenant_id, 'delete', 'workflow')
return jsonify({'success': True}), 200
except Exception as e:
db.session.rollback()
return jsonify({'error': str(e)}), 500
# ============================================================================
# Node Registry Endpoints
# ============================================================================
@app.route('/api/nodes', methods=['GET'])
def get_nodes():
"""Get all available node types"""
try:
category = request.args.get('category')
nodes_list = list(node_registry.values())
if category:
nodes_list = [n for n in nodes_list if n['category'] == category]
return jsonify({'nodes': nodes_list, 'count': len(nodes_list)}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/api/nodes/<node_id>', methods=['GET'])
def get_node(node_id: str):
"""Get specific node type"""
try:
node = node_registry.get(node_id)
if not node:
return jsonify({'error': 'Node type not found'}), 404
return jsonify(node), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/api/nodes/categories', methods=['GET'])
def get_node_categories():
"""Get available node categories"""
try:
categories = list(set(n['category'] for n in node_registry.values()))
return jsonify({'categories': sorted(categories)}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
# ============================================================================
# Workflow Execution Endpoints
# ============================================================================
@app.route('/api/workflows/<workflow_id>/execute', methods=['POST'])
def execute_workflow(workflow_id: str):
"""Execute workflow"""
try:
workflow = Workflow.query.get(workflow_id)
if not workflow:
return jsonify({'error': 'Workflow not found'}), 404
data = request.get_json() or {}
execution_id = f"exec-{datetime.utcnow().timestamp()}"
execution = Execution(
id=execution_id,
workflow_id=workflow_id,
workflow_name=workflow.name,
tenant_id=workflow.tenant_id,
status='running',
start_time=datetime.utcnow(),
input_json=json.dumps(data.get('input')) if data.get('input') else None
)
db.session.add(execution)
db.session.commit()
# Audit log
log_audit(workflow_id, workflow.tenant_id, 'execute', 'execution')
return jsonify(execution.to_dict()), 202
except Exception as e:
db.session.rollback()
return jsonify({'error': str(e)}), 500
@app.route('/api/workflows/<workflow_id>/executions', methods=['GET'])
def get_executions(workflow_id: str):
"""Get execution history for workflow"""
try:
limit = request.args.get('limit', 50, type=int)
offset = request.args.get('offset', 0, type=int)
query = (
Execution.query
.filter_by(workflow_id=workflow_id)
.order_by(Execution.created_at.desc())
.limit(limit)
.offset(offset)
)
executions = [e.to_dict() for e in query]
total = Execution.query.filter_by(workflow_id=workflow_id).count()
return jsonify({
'executions': executions,
'count': len(executions),
'total': total
}), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
@app.route('/api/executions/<execution_id>', methods=['GET'])
def get_execution(execution_id: str):
"""Get specific execution"""
try:
execution = Execution.query.get(execution_id)
if not execution:
return jsonify({'error': 'Execution not found'}), 404
return jsonify(execution.to_dict()), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
# ============================================================================
# Validation Endpoints
# ============================================================================
@app.route('/api/workflows/<workflow_id>/validate', methods=['POST'])
def validate_workflow(workflow_id: str):
"""Validate workflow configuration"""
try:
workflow = Workflow.query.get(workflow_id)
if not workflow:
return jsonify({'error': 'Workflow not found'}), 404
data = request.get_json() or {}
errors = []
warnings = []
# Validate nodes exist
nodes = data.get('nodes', [])
if not nodes:
errors.append('Workflow must have at least one node')
# Validate node types
for node in nodes:
if node.get('type') not in node_registry:
errors.append(f"Unknown node type: {node.get('type')}")
# Validate connections
nodes_set = {n['id'] for n in nodes}
connections = data.get('connections', [])
for conn in connections:
source = conn.get('source')
target = conn.get('target')
if source not in nodes_set:
errors.append(f"Connection source not found: {source}")
if target not in nodes_set:
errors.append(f"Connection target not found: {target}")
if source == target:
errors.append(f"Self-connections not allowed: {source}")
validation_result = {
'valid': len(errors) == 0,
'errors': errors,
'warnings': warnings
}
return jsonify(validation_result), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
# ============================================================================
# Health Check
# ============================================================================
@app.route('/api/health', methods=['GET'])
def health_check():
"""Health check endpoint"""
try:
workflow_count = Workflow.query.count()
execution_count = Execution.query.count()
node_count = len(node_registry)
return jsonify({
'status': 'ok',
'timestamp': datetime.utcnow().isoformat(),
'version': '2.0.0',
'workflows': workflow_count,
'executions': execution_count,
'nodeTypes': node_count,
'database': 'connected'
}), 200
except Exception as e:
return jsonify({
'status': 'error',
'error': str(e),
'database': 'disconnected'
}), 500
# ============================================================================
# Error Handlers
# ============================================================================
@app.errorhandler(400)
def bad_request(error):
return jsonify({'error': 'Bad request'}), 400
@app.errorhandler(404)
def not_found(error):
return jsonify({'error': 'Not found'}), 404
@app.errorhandler(500)
def server_error(error):
return jsonify({'error': 'Internal server error'}), 500
# ============================================================================
# Main
# ============================================================================
if __name__ == '__main__':
with app.app_context():
# Create database tables
db.create_all()
# Initialize node registry
init_node_registry()
# Get configuration from environment
port = int(os.getenv('PORT', 5000))
debug = os.getenv('DEBUG', 'False') == 'True'
host = os.getenv('HOST', '0.0.0.0')
print(f"Starting WorkflowUI Backend on {host}:{port}")
print(f"Database: {os.getenv('DATABASE_URL', 'sqlite:///workflows.db')}")
app.run(host=host, port=port, debug=debug)