AI_Personas / src /cli.py
Claude
Implement Phase 1: Persona-based LLM query system for urban planning
514b626 unverified
"""
Interactive CLI for querying personas about urban planning topics
"""
import sys
from typing import Optional
from rich.console import Console
from rich.prompt import Prompt, Confirm
from rich.table import Table
from rich.panel import Panel
from src.pipeline.query_engine import QueryEngine
console = Console()
class PersonaCLI:
"""Interactive command-line interface for persona queries"""
def __init__(self):
"""Initialize CLI"""
self.engine: Optional[QueryEngine] = None
def initialize(self) -> bool:
"""Initialize the query engine"""
try:
console.print("\n[cyan]Initializing AI Personas system...[/cyan]\n")
self.engine = QueryEngine()
if not self.engine.test_system():
console.print("[red]System initialization failed.[/red]")
return False
console.print("[green]✓ System ready![/green]\n")
return True
except Exception as e:
console.print(f"[red]Error initializing system: {e}[/red]")
return False
def show_personas(self):
"""Display available personas"""
personas = self.engine.list_available_personas()
table = Table(title="Available Personas", show_header=True)
table.add_column("ID", style="cyan")
table.add_column("Name", style="green")
table.add_column("Role", style="yellow")
for persona_id, name, role in personas:
table.add_row(persona_id, name, role)
console.print(table)
console.print()
def show_contexts(self):
"""Display available contexts"""
contexts = self.engine.list_available_contexts()
if not contexts:
console.print("[yellow]No environmental contexts loaded.[/yellow]\n")
return
console.print("[cyan]Available Contexts:[/cyan]")
for context_id in contexts:
console.print(f" • {context_id}")
console.print()
def query_single_persona(self):
"""Interactive single persona query"""
# Show available personas
self.show_personas()
# Get persona selection
personas = self.engine.list_available_personas()
persona_ids = [p[0] for p in personas]
persona_id = Prompt.ask(
"Select a persona",
choices=persona_ids,
)
# Get question
console.print()
question = Prompt.ask("[cyan]Your question[/cyan]")
# Optional context
console.print()
use_context = Confirm.ask("Use environmental context?", default=False)
context_id = None
if use_context:
contexts = self.engine.list_available_contexts()
if contexts:
context_id = Prompt.ask(
"Select context",
choices=contexts,
default=contexts[0] if contexts else None,
)
# Query
console.print("\n[dim]Generating response...[/dim]\n")
try:
response = self.engine.query(
persona_id=persona_id,
question=question,
context_id=context_id,
)
# Display response
console.print(Panel(
f"[bold]{response.persona_name}[/bold] [dim]({response.persona_role})[/dim]\n\n"
f"{response.response}",
title="Response",
border_style="green",
))
console.print()
except Exception as e:
console.print(f"[red]Error: {e}[/red]\n")
def query_multiple_personas(self):
"""Query multiple personas with the same question"""
# Show available personas
self.show_personas()
# Get question
question = Prompt.ask("[cyan]Your question (will be asked to all personas)[/cyan]")
# Optional context
console.print()
use_context = Confirm.ask("Use environmental context?", default=False)
context_id = None
if use_context:
contexts = self.engine.list_available_contexts()
if contexts:
context_id = Prompt.ask(
"Select context",
choices=contexts,
default=contexts[0] if contexts else None,
)
# Query all personas
personas = self.engine.list_available_personas()
persona_ids = [p[0] for p in personas]
console.print(f"\n[dim]Querying {len(persona_ids)} personas...[/dim]\n")
try:
responses = self.engine.query_multiple(
persona_ids=persona_ids,
question=question,
context_id=context_id,
)
# Display all responses
for i, response in enumerate(responses, 1):
console.print(f"[bold cyan]{i}. {response.persona_name}[/bold cyan] [dim]({response.persona_role})[/dim]")
console.print("-" * 70)
console.print(response.response)
console.print()
console.print(f"[green]✓ Received {len(responses)} responses[/green]\n")
except Exception as e:
console.print(f"[red]Error: {e}[/red]\n")
def show_help(self):
"""Show help information"""
help_text = """
[bold cyan]AI Personas for Urban Planning - Interactive CLI[/bold cyan]
[bold]Commands:[/bold]
1 - Query a single persona
2 - Query all personas with the same question
3 - List available personas
4 - List available contexts
h - Show this help
q - Quit
[bold]About:[/bold]
This system allows you to query synthetic personas representing different
urban planning stakeholders. Each persona has unique values, experiences,
and perspectives that shape their responses.
"""
console.print(Panel(help_text.strip(), border_style="cyan"))
console.print()
def run(self):
"""Run the interactive CLI"""
if not self.initialize():
return
self.show_help()
while True:
console.print("[cyan]Options:[/cyan] [1]Single [2]Multiple [3]List Personas [4]List Contexts [h]Help [q]Quit")
choice = Prompt.ask("Select", default="1")
if choice.lower() in ["q", "quit", "exit"]:
console.print("\n[cyan]Goodbye![/cyan]\n")
break
elif choice == "1":
console.print()
self.query_single_persona()
elif choice == "2":
console.print()
self.query_multiple_personas()
elif choice == "3":
console.print()
self.show_personas()
elif choice == "4":
console.print()
self.show_contexts()
elif choice.lower() in ["h", "help"]:
console.print()
self.show_help()
else:
console.print("[yellow]Invalid choice. Press 'h' for help.[/yellow]\n")
def main():
"""Main entry point"""
try:
cli = PersonaCLI()
cli.run()
except KeyboardInterrupt:
console.print("\n\n[cyan]Interrupted. Goodbye![/cyan]\n")
sys.exit(0)
except Exception as e:
console.print(f"\n[red]Error: {e}[/red]\n")
sys.exit(1)
if __name__ == "__main__":
main()