| """Main CLI Entry Point""" |
|
|
| import sys |
| import click |
| from rich.console import Console |
|
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| from .commands import run_command, train_command, eval_command |
| from .interactive import InteractiveMode |
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|
| console = Console() |
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|
| @click.group() |
| @click.version_option(version="1.0.0") |
| def main(): |
| """🧑💻 Burme-Coder-Max - Myanmar AI Coding Agent""" |
| pass |
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|
| @main.command() |
| @click.argument("instruction") |
| @click.option("--model", default="gpt-4", help="AI model to use") |
| @click.option("--verbose", is_flag=True, help="Verbose output") |
| def ask(instruction: str, model: str, verbose: bool): |
| """Ask a coding question in Burmese or English""" |
| from src.core import CoderAgent |
| from src.animations import Spinner |
| from src.ui.thanking import ThankYou |
|
|
| agent = CoderAgent(model=model) |
|
|
| with Spinner("Thinking..."): |
| response = agent.generate_response(instruction) |
|
|
| console.print(response["response"]) |
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|
| if verbose: |
| console.print(f"\n[dim]Session: {response['session_id']}[/dim]") |
| console.print(f"[dim]Model: {response['model']}[/dim]") |
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| ThankYou.show() |
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|
| @main.command() |
| @click.option("--host", default="0.0.0.0", help="Host to bind") |
| @click.option("--port", default=5000, help="Port to bind") |
| def serve(host: str, port: int): |
| """Start API server""" |
| console.print(f"[green]Starting server on {host}:{port}...[/green]") |
| console.print("[yellow]API server not yet implemented[/yellow]") |
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|
| @main.command() |
| def interactive(): |
| """Start interactive mode""" |
| mode = InteractiveMode() |
| mode.start() |
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|
| @main.command() |
| @click.option("--data", default="./data/trajectories", help="Training data directory") |
| @click.option("--epochs", default=10, help="Number of epochs") |
| def train(data: str, epochs: int): |
| """Train the agent on trajectories""" |
| train_command(data, epochs) |
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| @main.command() |
| @click.option("--data", default="./data/trajectories", help="Evaluation data") |
| def eval(data: str): |
| """Evaluate agent performance""" |
| eval_command(data) |
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| |
| main.add_command(run_command) |
| main.add_command(train_command) |
| main.add_command(eval_command) |
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|
|
| if __name__ == "__main__": |
| main() |
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