电影工作室AI平台

git clone https://github.com/yourusername/adk-mcp-vertext-xepriment-cli.git
cd adk-mcp-vertext-xepriment-cli

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

pip install -r requirements.txt

pip install -e ".[dev]"

cp .env.example .env

GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_CLOUD_PROJECT_NUMBER=your-project-number
GOOGLE_AI_API_KEY=your-gemini-api-key
VERTEX_AI_LOCATION=us-central1

# Authenticate with Google Cloud
gcloud auth login
gcloud auth application-default login

# Set your project
gcloud config set project your-project-id

# Enable required APIs
gcloud services enable aiplatform.googleapis.com
gcloud services enable generativelanguage.googleapis.com

# Show platform information
cinema-studio info

# Generate dialogue for a scene
cinema-studio preproduction generate-dialogue \
  --scene "A tense confrontation in a warehouse" \
  --characters "DETECTIVE, SUSPECT" \
  --tone "suspenseful"

# Develop a character profile
cinema-studio preproduction develop-character \
  --name "Alex Chen" \
  --description "A brilliant AI researcher"

# Analyze a script
cinema-studio preproduction analyze-script script.txt

# Get casting recommendations
cinema-studio agents casting \
  --character "Alex Chen" \
  --description "Brilliant AI researcher, 30s"

# Scout locations
cinema-studio agents location-scout \
  --scene "Futuristic research lab" \
  --location-type "interior"

import asyncio
from cinema_studio.preproduction.scriptwriting import ScriptWriter
from cinema_studio.agents.casting_agent import CastingAgent

async def main():
    # Generate dialogue
    writer = ScriptWriter()
    dialogue = await writer.generate_dialogue(
        scene_description="A tense confrontation",
        character_names=["DETECTIVE", "SUSPECT"],
        tone="suspenseful"
    )
    print(dialogue)

    # Get casting recommendations
    agent = CastingAgent()
    result = await agent.execute({
        "character_name": "Alex Chen",
        "character_description": "Brilliant AI researcher",
    })
    print(result["recommendations"])

asyncio.run(main())

python examples/quick_start.py

adk-mcp-vertext-xepriment-cli/
├── src/
│   └── cinema_studio/
│       ├── config/           # Configuration management
│       ├── preproduction/    # Pre-production tools
│       ├── production/       # Production tools
│       ├── postproduction/   # Post-production tools
│       ├── agents/           # AI agents (ADK)
│       └── cli.py            # Command-line interface
├── tests/                    # Test suite
├── examples/                 # Example scripts
├── docs/                     # Documentation
├── .env.example              # Environment template
├── requirements.txt          # Python dependencies
├── pyproject.toml           # Project metadata
└── README.md                # This file

pytest

black src/
ruff check src/

mypy src/