# Changelog of Spielberg (`greg_turri/spielberg`) Actor

- **URL**: https://apify.com/greg\_turri/spielberg/changelog.md
- **Full Actor documentation**: https://apify.com/greg\_turri/spielberg.md

## Changelog - Spielberg Meta-Actor

All notable changes and iterations for the Spielberg project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).

***

### \[Unreleased]

#### Planned

- JavaScript/TypeScript Actor support
- Complex multi-file architecture generation
- Actor cloning and modification features
- Template library for common Actor patterns
- Automated testing of generated Actors

***

### \[1.0.0] - 2025-12-06

#### Initial Implementation

##### Added

- **Core Architecture**: Pipeline-based architecture with four distinct phases
  - Phase 1: Intent Analysis & Requirements Generation
  - Phase 2: Actor Code Generation
  - Phase 3: Actor Deployment
  - Phase 4: Validation & Iterative Fixing

- **Modules Created**:
  - `src/intent_analyzer.py`: OpenAI-powered intent analysis and requirements extraction
  - `src/actor_generator.py`: Complete Actor codebase generation using GPT-4
  - `src/deployer.py`: Apify API integration for Actor creation and deployment
  - `src/validator.py`: Build monitoring and iterative error fixing
  - `src/main.py`: Main orchestrator coordinating all phases

- **Configuration Files**:
  - `.actor/actor.json`: Actor metadata and environment variables
  - `.actor/input_schema.json`: Input validation schema with userPrompt field
  - `Dockerfile`: Python 3.13 base image with dependencies
  - `requirements.txt`: Python package dependencies

- **Documentation**:
  - `PRD.md`: Comprehensive product requirements document
  - `changelog.md`: This file - tracking all changes
  - `README.md`: User-facing documentation with examples

- **Features**:
  - Natural language Actor creation from text prompts
  - Automatic code generation following Apify best practices
  - Programmatic Actor deployment via Apify API
  - Iterative error fixing (up to 3 attempts)
  - Comprehensive logging and error handling
  - Output includes Actor ID and console URL

##### Technical Decisions

- **OpenAI Model**: GPT-4 for higher quality code generation
- **Deployment Method**: Apify Create Actor API (`POST /v2/acts`) with SOURCE\_FILES
- **Error Recovery**: Maximum 3 iterations to prevent infinite loops
- **Language**: Python 3.13 for generated Actors
- **Architecture**: Modular design with separate concerns

##### Dependencies

- `apify>=1.0.0`: Apify SDK for Actor runtime
- `apify-client>=1.0.0`: Apify API client for programmatic Actor management
- `openai>=1.0.0`: OpenAI API client for GPT-4 access
- `aiohttp>=3.8.0`: Async HTTP client for API calls

##### Known Limitations

- Only Python Actors supported in v1.0
- Basic to intermediate Actor complexity
- Maximum 3 error fix iterations
- Single-file Actor structures only
- Requires OPENAI\_API\_KEY environment variable

##### Testing

- Manual testing planned with simple prompts
- Test case: "Create an Actor that logs 'Hello World' and saves it to dataset"

***

### Development Notes

#### 2025-12-06 - Project Initialization

- Created project structure following Apify Actor conventions
- Researched Apify Create Actor API endpoint
- Confirmed API supports SOURCE\_FILES for inline code deployment
- Designed four-phase pipeline architecture
- Created comprehensive PRD with technical specifications

#### Next Steps

1. Implement intent\_analyzer.py with OpenAI integration
2. Implement actor\_generator.py with code generation logic
3. Implement deployer.py with Apify API calls
4. Implement validator.py with iterative fixing
5. Build main orchestrator
6. Local testing with simple prompts
7. Deploy Spielberg to Apify platform
8. Create demo video/documentation

***

### Iteration Log

#### Iteration 0: Planning & Design

- **Date**: 2025-12-06
- **Status**: Complete
- **Changes**:
  - Analyzed user requirements
  - Researched Apify API capabilities
  - Designed system architecture
  - Created PRD and plan
- **Outcome**: Ready for implementation

#### Iteration 1: Core Implementation

- **Date**: 2025-12-06
- **Status**: In Progress
- **Changes**:
  - Creating directory structure
  - Implementing core modules
  - Setting up configuration files
- **Outcome**: TBD

***

### Future Iterations

#### Iteration 2: Testing & Refinement (Planned)

- Local testing with various prompts
- Bug fixes and error handling improvements
- Performance optimization
- Documentation updates

#### Iteration 3: Deployment & Validation (Planned)

- Deploy Spielberg to Apify platform
- Real-world testing
- User feedback collection
- Production readiness validation

#### Iteration 4: Enhancement Phase (Planned)

- Add support for more complex Actors
- Implement template library
- Add JavaScript/TypeScript support
- Performance monitoring and analytics

***

### Notes for Developers

#### How to Add to This Log

When making changes to Spielberg:

1. Add entry under appropriate version section
2. Use clear, descriptive language
3. Include date and status
4. Document breaking changes prominently
5. Link to related issues/PRs if applicable

#### Version Numbering

- **Major (X.0.0)**: Breaking changes, major feature additions
- **Minor (1.X.0)**: New features, backwards compatible
- **Patch (1.0.X)**: Bug fixes, minor improvements