TradingAgents/cli/prompts.py

"""Interactive user prompts for the Litadel CLI."""

import questionary
from typing import List, Optional, Tuple, Dict

from cli.helpers import AnalystType
from cli.llm_config import SHALLOW_AGENT_OPTIONS, DEEP_AGENT_OPTIONS, LLM_PROVIDERS

ANALYST_ORDER = [
    ("Market Analyst", AnalystType.MARKET),
    ("Social Media Analyst", AnalystType.SOCIAL),
    ("News Analyst", AnalystType.NEWS),
    ("Fundamentals Analyst", AnalystType.FUNDAMENTALS),
]


def get_ticker() -> str:
    """Prompt the user to enter a ticker symbol."""
    ticker = questionary.text(
        "Enter the ticker symbol to analyze:",
        validate=lambda x: len(x.strip()) > 0 or "Please enter a valid ticker symbol.",
        style=questionary.Style(
            [
                ("text", "fg:green"),
                ("highlighted", "noinherit"),
            ]
        ),
    ).ask()

    if not ticker:
        console.print("\n[red]No ticker symbol provided. Exiting...[/red]")
        exit(1)

    return ticker.strip().upper()


def get_analysis_date() -> str:
    """Prompt the user to enter a date in YYYY-MM-DD format."""
    import re
    from datetime import datetime

    def validate_date(date_str: str) -> bool:
        if not re.match(r"^\d{4}-\d{2}-\d{2}$", date_str):
            return False
        try:
            datetime.strptime(date_str, "%Y-%m-%d")
            return True
        except ValueError:
            return False

    date = questionary.text(
        "Enter the analysis date (YYYY-MM-DD):",
        validate=lambda x: validate_date(x.strip())
        or "Please enter a valid date in YYYY-MM-DD format.",
        style=questionary.Style(
            [
                ("text", "fg:green"),
                ("highlighted", "noinherit"),
            ]
        ),
    ).ask()

    if not date:
        console.print("\n[red]No date provided. Exiting...[/red]")
        exit(1)

    return date.strip()


def select_analysts(asset_class: str | None = None) -> List[AnalystType]:
    """Select analysts using an interactive checkbox.

    If asset_class is 'commodity' or 'crypto', hide Fundamentals Analyst.
    """
    order = ANALYST_ORDER
    if asset_class and asset_class.lower() in ["commodity", "crypto"]:
        order = [(d, v) for (d, v) in ANALYST_ORDER if v != AnalystType.FUNDAMENTALS]

    choices = questionary.checkbox(
        "Select Your [Analysts Team]:",
        choices=[
            questionary.Choice(display, value=value) for display, value in order
        ],
        instruction="\n- Press Space to select/unselect analysts\n- Press 'a' to select/unselect all\n- Press Enter when done",
        validate=lambda x: len(x) > 0 or "You must select at least one analyst.",
        style=questionary.Style(
            [
                ("checkbox-selected", "fg:green"),
                ("selected", "fg:green noinherit"),
                ("highlighted", "noinherit"),
                ("pointer", "noinherit"),
            ]
        ),
    ).ask()

    if not choices:
        console.print("\n[red]No analysts selected. Exiting...[/red]")
        exit(1)

    return choices


def select_research_depth() -> int:
    """Select research depth using an interactive selection."""

    # Define research depth options with their corresponding values
    DEPTH_OPTIONS = [
        ("Shallow - Quick research, few debate and strategy discussion rounds", 1),
        ("Medium - Middle ground, moderate debate rounds and strategy discussion", 3),
        ("Deep - Comprehensive research, in depth debate and strategy discussion", 5),
    ]

    choice = questionary.select(
        "Select Your [Research Depth]:",
        choices=[
            questionary.Choice(display, value=value) for display, value in DEPTH_OPTIONS
        ],
        instruction="\n- Use arrow keys to navigate\n- Press Enter to select",
        style=questionary.Style(
            [
                ("selected", "fg:yellow noinherit"),
                ("highlighted", "fg:yellow noinherit"),
                ("pointer", "fg:yellow noinherit"),
            ]
        ),
    ).ask()

    if choice is None:
        console.print("\n[red]No research depth selected. Exiting...[/red]")
        exit(1)

    return choice


def select_shallow_thinking_agent(provider) -> str:
    """Select shallow thinking llm engine using an interactive selection."""
    choice = questionary.select(
        "Select Your [Quick-Thinking LLM Engine]:",
        choices=[
            questionary.Choice(display, value=value)
            for display, value in SHALLOW_AGENT_OPTIONS[provider.lower()]
        ],
        instruction="\n- Use arrow keys to navigate\n- Press Enter to select",
        style=questionary.Style(
            [
                ("selected", "fg:magenta noinherit"),
                ("highlighted", "fg:magenta noinherit"),
                ("pointer", "fg:magenta noinherit"),
            ]
        ),
    ).ask()

    if choice is None:
        console.print(
            "\n[red]No shallow thinking llm engine selected. Exiting...[/red]"
        )
        exit(1)

    return choice


def select_deep_thinking_agent(provider) -> str:
    """Select deep thinking llm engine using an interactive selection."""
    choice = questionary.select(
        "Select Your [Deep-Thinking LLM Engine]:",
        choices=[
            questionary.Choice(display, value=value)
            for display, value in DEEP_AGENT_OPTIONS[provider.lower()]
        ],
        instruction="\n- Use arrow keys to navigate\n- Press Enter to select",
        style=questionary.Style(
            [
                ("selected", "fg:magenta noinherit"),
                ("highlighted", "fg:magenta noinherit"),
                ("pointer", "fg:magenta noinherit"),
            ]
        ),
    ).ask()

    if choice is None:
        console.print("\n[red]No deep thinking llm engine selected. Exiting...[/red]")
        exit(1)

    return choice

def select_llm_provider() -> tuple[str, str]:
    """Select the OpenAI api url using interactive selection."""
    choice = questionary.select(
        "Select your LLM Provider:",
        choices=[
            questionary.Choice(display, value=(display, value))
            for display, value in LLM_PROVIDERS
        ],
        instruction="\n- Use arrow keys to navigate\n- Press Enter to select",
        style=questionary.Style(
            [
                ("selected", "fg:magenta noinherit"),
                ("highlighted", "fg:magenta noinherit"),
                ("pointer", "fg:magenta noinherit"),
            ]
        ),
    ).ask()
    
    if choice is None:
        console.print("\n[red]no OpenAI backend selected. Exiting...[/red]")
        exit(1)
    
    display_name, url = choice
    print(f"You selected: {display_name}\tURL: {url}")
    
    return display_name, url