2026-04-15 15:03:57 +08:00

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name	version	description	author	license
contract-management-module	1.0.0	Enterprise contract management module with AI-powered version comparison, compliance checking, and key date extraction, integrated with appbase and rbac modules.	Hermes Agent	MIT

Contract Management Module

Overview

This module provides comprehensive enterprise contract management capabilities with advanced AI integration. It manages contract information, attachments, and leverages AI services for intelligent contract analysis including version comparison, compliance checking, and key date extraction.

The module integrates seamlessly with the existing appbase (for code management) and rbac (for user/role-based access control) foundation modules, following the standard module development specification.

Directory Structure

contract_management/
├── contract_management/        # Python package
│   ├── __init__.py            # Python package marker
│   ├── init.py                # Module initialization (load_contract_management)
│   ├── contract_core.py       # Core contract management logic
│   ├── attachment_core.py     # Contract attachment management
│   ├── ai_core.py             # AI service integration
│   └── ai_config_core.py      # AI configuration management
├── wwwroot/                   # Frontend resources
│   ├── contract_list.ui       # Contract list view
│   ├── contract_edit.ui       # Contract creation/edit view
│   ├── contract_detail.ui     # Contract detail view
│   └── ai_config.ui           # AI service configuration
├── models/                    # Database table definitions
│   ├── contract.json          # Contract main table
│   ├── contract_attachment.json # Contract attachments table
│   └── contract_ai_config.json # AI configuration table
├── json/                      # CRUD operation definitions
│   ├── contract.json          # Contract CRUD
│   ├── contract_attachment.json # Attachment CRUD
│   └── contract_ai_config.json # AI config CRUD
├── init/                      # Initialization data (optional)
├── skill/                     # Skill documentation
│   └── SKILL.md               # This skill document
├── pyproject.toml             # Python packaging
└── README.md                  # Module documentation

Core Features

1. Contract Information Management

Complete contract lifecycle management (create, read, update, delete)
Contract metadata including parties, amounts, dates, types, and status
Integration with appbase codes for contract type classification
RBAC-based access control for multi-tenant security

2. Contract Attachment Management

Version-controlled file attachments with automatic versioning
Secure file storage with organization isolation
File metadata tracking (size, type, upload time, uploader)
Attachment browsing and management through CRUD interface

3. AI-Powered Contract Analysis

Version Comparison: Compare different contract versions to identify changes
Compliance Checking: Analyze contracts for regulatory and policy compliance
Key Date Extraction: Automatically extract important dates (deadlines, renewals, etc.)
Configurable AI service endpoints with API key authentication

Integration Points

AppBase Integration

Uses appcodes table for contract type categorization
Leverages appbase's hierarchical code management system
Reuses existing encoding patterns for consistency

RBAC Integration

Implements organization-based data isolation
Uses RBAC user/role permissions for access control
Integrates with existing authentication flows
Supports multi-tenant deployment scenarios

AI Service Integration

Configurable AI service URL per organization
Secure API key management with confidential field handling
Asynchronous AI processing with error handling
Standardized request/response patterns for AI tasks

Usage Patterns

Basic Contract Management

Navigate to contract_list.ui to view all contracts
Click "新建合同" to create a new contract via contract_edit.ui
Select a contract to view details in contract_detail.ui
Manage attachments through the subtable interface

AI Configuration

Access AI configuration through admin interface
Set AI service URL and API key in ai_config.ui
Save configuration for organization-wide AI service access

AI Analysis Execution

Upload contract documents as attachments
Use AI buttons in contract edit/detail views to trigger analysis
View AI results in the dedicated AI analysis section
Results are automatically saved to contract record for future reference

Security Considerations

All data is organization-isolated through org_id field
API keys are stored as confidential fields with proper masking
File uploads are stored in organization-specific directories
RBAC permissions control all data access and operations
Input validation and sanitization throughout the module

Performance Optimization

Efficient database queries with proper indexing
Asynchronous AI processing to avoid blocking UI
Pagination for large contract lists
Lazy loading of attachment data
Caching of AI configuration per organization

Customization Points

Contract type codes can be extended via appbase
AI service endpoints can be customized per organization
UI templates can be modified for specific business needs
Additional AI analysis tasks can be added to ai_core.py

Verification Checklist

Module loads correctly via load_contract_management() function
All CRUD operations function as defined in json/ directory
Frontend renders correctly with bricks-framework components
AI configuration saves and retrieves properly
File attachments upload and version correctly
RBAC permissions enforce proper data access
Appbase codes integrate correctly for contract types
AI service calls handle errors gracefully
Package builds successfully with pyproject.toml

6.1 KiB Raw Blame History