"""Day 1 smoke test: verify both Gemini and Groq API keys work end-to-end.

Usage:
    uv run python scripts/smoke_test.py
"""
from __future__ import annotations

import sys
from pathlib import Path

# Make `researchpath` importable when running this file directly.
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))

from rich.console import Console

from researchpath.llm import gemini_generate, groq_generate

console = Console()

PROMPT = "In one sentence, what is policy gradient in reinforcement learning?"


def run_provider(name: str, fn) -> bool:
    console.print(f"[bold cyan]Testing {name}...[/bold cyan]")
    try:
        result = fn(PROMPT)
        console.print(f"[green]OK[/green] {name} ({result.model}):")
        console.print(f"  {result.text.strip()}")
        if result.input_tokens is not None:
            console.print(
                f"  [dim]tokens: {result.input_tokens} in / {result.output_tokens} out[/dim]"
            )
        console.print()
        return True
    except Exception as e:
        console.print(f"[red]FAIL {name}:[/red] {e}\n")
        return False


def main() -> int:
    console.print("[bold]ResearchPath smoke test[/bold]\n")
    results = [
        run_provider("Gemini", gemini_generate),
        run_provider("Groq", groq_generate),
    ]
    if all(results):
        console.print("[bold green]All providers working. You're ready for Day 2.[/bold green]")
        return 0
    console.print("[bold red]One or more providers failed. Fix and re-run.[/bold red]")
    return 1


if __name__ == "__main__":
    sys.exit(main())