Design and Implement the Visual Playbook Builder Interface

kleneway commented 3 days ago

Objective

Create a user-friendly, flowchart-style visual interface that allows users to assemble and execute Playbooks—customizable, repeatable sequences of actions leveraging AI models—to automate coding tasks within a secure, cloud-based environment. This interface will streamline complex workflows (e.g., adding Storybook stories to components, generating marketing sites from PRDs) through predefined, configurable steps, enhancing productivity and consistency across projects.

Detailed Specifications

User Interface Design

Flowchart Canvas

Interactive Canvas: Implement an interactive canvas where users can visually construct Playbooks.
Drag-and-Drop Functionality: Support drag-and-drop for adding and arranging nodes using React Flow (@xyflow/react).
Zooming and Panning: Provide zooming and panning capabilities for navigating large Playbooks.

Node Library

Action Nodes: Represent specific operations like LLM calls, file manipulations, Git operations.
Control Flow Nodes: Include branching (if/else), looping (for each), start, and end nodes.
Annotation Nodes: Allow users to add comments or notes for documentation purposes.

Connectors and Execution Flow

Sequence Connections: Enable users to connect nodes with arrows indicating the sequence of execution.
Conditional Paths: Support conditional paths based on outcomes or variable states.
Visual Differentiation: Visually differentiate between different types of connections (e.g., true/false branches).

Action Configuration Panels

Parameter Inputs

Configuration Panel: When a node is selected, display a configuration panel for setting parameters.
Real-Time Validation: Validate inputs in real-time to prevent configuration errors.

LLM Call Configuration

Model Selection: Default to Sonnet but allow selection from GPT-4o, Gemini, Groq, gpt-4o-mini, Claude Haiku.
Prompt Templates: Provide fields for entering prompt text with support for variables and expressions.
Context Inclusion: Allow incorporation of code context data (e.g., file summaries, code snippets).

File Operation Configuration

Target Specification: Choose targets (single file, multiple files, all files) using selectors integrated with code context.
Operations: Options for read, write, modify, or delete actions.
Content Handling: For write/modify actions, specify content sources (e.g., static text, LLM output).

Git Command Configuration

Branching: Set up branch creation with naming conventions.
Committing: Define commit messages, which can include variables or step results.
Pull Requests: Configure PR creation with titles and descriptions.

Control Flow Implementation

Branching Nodes

Condition Definition: Allow users to define conditions based on variables, previous action results, or expressions.
Path Selection: Support multiple branches (e.g., if/else if/else).

Looping Nodes

Iteration Targets: Loop over collections such as lists of files, components, or custom ranges.
Loop Variables: Expose loop variables within the loop's scope for use in nested actions.

Parameterization and Variable Management

Global Variables

Declaration: Allow declaration of global variables accessible throughout the Playbook.
Data Types: Support basic data types (string, number, boolean) and collections (lists, dictionaries).

Variable Assignment Nodes

Value Assignment: Provide nodes to assign values to variables, including results from actions or expressions.

Expression Support

Expressions and Scripts: Enable the use of simple expressions or scripts in configurations and conditions.
Error Handling: Implement input validation and error messaging for incorrect expressions.

Integration with Code Context

Context Browser

Browsing Capability: Include a panel or dialog for browsing the code context when selecting files or components.
Search and Filter: Support search, filtering, and sorting to locate specific context elements.

Dynamic Context Updates

Real-Time Updates: Reflect changes made during Playbook execution in the code context for subsequent steps.

Validation and Error Handling

Real-Time Validation

Issue Detection: Check for issues such as unconnected nodes, missing parameters, and invalid configurations.
Visual Feedback: Highlight problematic nodes and provide descriptive error messages.

Conflict Detection

Modification Conflicts: Warn users about potential conflicts, such as multiple nodes attempting to modify the same file concurrently.

Undo/Redo Functionality

User Actions: Implement undo and redo actions to enhance usability and prevent accidental data loss.

Serialization to JSON

JSON Schema Definition

Comprehensive Schema: Design a comprehensive JSON schema representing all node types, configurations, connections, and metadata.
Backend Compatibility: Ensure compatibility with JSONB storage for efficient querying and retrieval.

Export and Import Features

Save and Load: Allow users to save Playbooks to JSON files and load existing Playbooks from JSON.
Versioning Support: Support versioning within the JSON to handle future schema changes gracefully.

User Experience Enhancements

Guided Tutorials and Templates

Pre-built Templates: Provide pre-built Playbook templates for common tasks to assist new users.
Interactive Tutorial: Include an interactive tutorial guiding users through Playbook creation.

Accessibility Compliance

Standards Adherence: Adhere to accessibility standards (e.g., WCAG 2.1) to support users with disabilities.
Usability Features: Ensure keyboard navigation, screen reader compatibility, and sufficient color contrast.

Performance Optimization

Efficient Rendering: Optimize rendering and interaction performance, especially with large Playbooks.
Lazy Loading: Implement lazy loading or virtualization techniques if necessary.

Additional Requirements

Implement JSON Schema: Develop the JSON schema required to support the Playbook serialization.
Database Integration: Create a database table and migration for storing Playbooks.
Dashboard Integration: Integrate this feature as a new section of the Dashboard, following best practices and coding standards established in existing dashboard features.