ChristianLempa_Boilerplates/cli/core/input/prompt_manager.py

from __future__ import annotations

import logging
from typing import Any, Callable

from rich.console import Console
from rich.prompt import IntPrompt, Prompt

from ..display import DisplayManager
from ..input import InputManager
from ..template import Variable, VariableCollection

logger = logging.getLogger(__name__)


class PromptHandler:
    """Simple interactive prompt handler for collecting template variables."""

    def __init__(self) -> None:
        self.console = Console()
        self.display = DisplayManager()

    def _handle_section_toggle(self, section, collected: dict[str, Any]) -> bool:
        """Handle section toggle variable and return whether section should be enabled."""
        if section.required:
            logger.debug(f"Processing required section '{section.key}' without toggle prompt")
            return True

        if not section.toggle:
            return True

        toggle_var = section.variables.get(section.toggle)
        if not toggle_var:
            return True

        current_value = toggle_var.convert(toggle_var.value)
        new_value = self._prompt_variable(toggle_var, _required=section.required)

        if new_value != current_value:
            collected[toggle_var.name] = new_value
            toggle_var.value = new_value

        return section.is_enabled()

    def _should_skip_variable(
        self,
        var_name: str,
        section,
        variables: VariableCollection,
        section_enabled: bool,
    ) -> bool:
        """Determine if a variable should be skipped during collection."""
        if section.toggle and var_name == section.toggle:
            return True

        if not variables.is_variable_satisfied(var_name):
            logger.debug(f"Skipping variable '{var_name}' - needs not satisfied")
            return True

        if not section_enabled:
            logger.debug(f"Skipping variable '{var_name}' from disabled section '{section.key}'")
            return True

        return False

    def _collect_variable_value(self, variable: Variable, section, collected: dict[str, Any]) -> None:
        """Collect a single variable value and update if changed."""
        current_value = variable.convert(variable.value)
        new_value = self._prompt_variable(variable, _required=section.required)

        if variable.autogenerated and new_value is None:
            collected[variable.name] = None
            variable.value = None
        elif new_value != current_value:
            collected[variable.name] = new_value
            variable.value = new_value

    def collect_variables(self, variables: VariableCollection) -> dict[str, Any]:
        """Collect values for variables by iterating through sections.

        Args:
            variables: VariableCollection with organized sections and variables

        Returns:
            Dict of variable names to collected values
        """
        input_mgr = InputManager()
        if not input_mgr.confirm("Customize any settings?", default=False):
            logger.info("User opted to keep all default values")
            return {}

        collected: dict[str, Any] = {}

        for _section_key, section in variables.get_sections().items():
            if not section.variables:
                continue

            self.display.section(section.title, section.description)
            section_enabled = self._handle_section_toggle(section, collected)

            for var_name, variable in section.variables.items():
                if self._should_skip_variable(var_name, section, variables, section_enabled):
                    continue

                self._collect_variable_value(variable, section, collected)

        logger.info(f"Variable collection completed. Collected {len(collected)} values")
        return collected

    def _prompt_variable(self, variable: Variable, _required: bool = False) -> Any:
        """Prompt for a single variable value based on its type.

        Args:
            variable: The variable to prompt for
            _required: Whether the containing section is required
                      (unused, kept for API compatibility)

        Returns:
            The validated value entered by the user
        """
        logger.debug(f"Prompting for variable '{variable.name}' (type: {variable.type})")

        # Use variable's native methods for prompt text and default value
        prompt_text = variable.get_prompt_text()
        default_value = variable.get_normalized_default()

        # Add lock icon before default value for sensitive or autogenerated variables
        if variable.sensitive or variable.autogenerated:
            # Format: "Prompt text 🔒 (default)"
            # The lock icon goes between the text and the default value in parentheses
            prompt_text = f"{prompt_text} {self.display.get_lock_icon()}"

        # Check if this specific variable is required (has no default and not autogenerated)
        var_is_required = variable.is_required()

        # If variable is required, mark it in the prompt
        if var_is_required:
            prompt_text = f"{prompt_text} [bold red]*required[/bold red]"

        handler = self._get_prompt_handler(variable)

        # Add validation hint (includes both extra text and enum options)
        hint = variable.get_validation_hint()
        if hint:
            # Show options/extra inline inside parentheses, before the default
            prompt_text = f"{prompt_text} [dim]({hint})[/dim]"

        while True:
            try:
                raw = handler(prompt_text, default_value)
                # Use Variable's centralized validation method that handles:
                # - Type conversion
                # - Autogenerated variable detection
                # - Required field validation
                return variable.validate_and_convert(raw, check_required=True)

                # Return the converted value (caller will update variable.value)
            except ValueError as exc:
                # Conversion/validation failed — show a consistent error message and retry
                self._show_validation_error(str(exc))
            except Exception as e:
                # Unexpected error — log and retry using the stored (unconverted) value
                logger.error(f"Error prompting for variable '{variable.name}': {e!s}")
                default_value = variable.value
                handler = self._get_prompt_handler(variable)

    def _get_prompt_handler(self, variable: Variable) -> Callable:
        """Return the prompt function for a variable type."""
        handlers = {
            "bool": self._prompt_bool,
            "int": self._prompt_int,
            # For enum prompts we pass the variable.extra through so options and extra
            # can be combined into a single inline hint.
            "enum": lambda text, default: self._prompt_enum(
                text,
                variable.options or [],
                default,
                _extra=getattr(variable, "extra", None),
            ),
        }
        return handlers.get(
            variable.type,
            lambda text, default: self._prompt_string(text, default, is_sensitive=variable.sensitive),
        )

    def _show_validation_error(self, message: str) -> None:
        """Display validation feedback consistently."""
        self.display.error(message)

    def _prompt_string(self, prompt_text: str, default: Any = None, is_sensitive: bool = False) -> str | None:
        value = Prompt.ask(
            prompt_text,
            default=str(default) if default is not None else "",
            show_default=True,
            password=is_sensitive,
        )
        stripped = value.strip() if value else None
        return stripped if stripped else None

    def _prompt_bool(self, prompt_text: str, default: Any = None) -> bool | None:
        input_mgr = InputManager()
        if default is None:
            return input_mgr.confirm(prompt_text, default=None)
        converted = default if isinstance(default, bool) else str(default).lower() in ("true", "1", "yes", "on")
        return input_mgr.confirm(prompt_text, default=converted)

    def _prompt_int(self, prompt_text: str, default: Any = None) -> int | None:
        converted = None
        if default is not None:
            try:
                converted = int(default)
            except (ValueError, TypeError):
                logger.warning(f"Invalid default integer value: {default}")
        return IntPrompt.ask(prompt_text, default=converted)

    def _prompt_enum(
        self,
        prompt_text: str,
        options: list[str],
        default: Any = None,
        _extra: str | None = None,
    ) -> str:
        """Prompt for enum selection with validation.

        Note: prompt_text should already include hint from variable.get_validation_hint()
        but we keep this for backward compatibility and fallback.
        """
        if not options:
            return self._prompt_string(prompt_text, default)

        # Validate default is in options
        if default and str(default) not in options:
            default = options[0]

        while True:
            value = Prompt.ask(
                prompt_text,
                default=str(default) if default else options[0],
                show_default=True,
            )
            if value in options:
                return value
            self.console.print(f"[red]Invalid choice. Select from: {', '.join(options)}[/red]")