from __future__ import annotations from typing import Dict, Any, Callable import logging from rich.console import Console from rich.prompt import Prompt, Confirm, IntPrompt from .display import DisplayManager from .variable import Variable from .collection import 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 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 """ if not Confirm.ask("Customize any settings?", default=False): logger.info("User opted to keep all default values") return {} collected: Dict[str, Any] = {} prompted_variables: set[str] = ( set() ) # Track which variables we've already prompted for # Process each section for section_key, section in variables.get_sections().items(): if not section.variables: continue # Check if dependencies are satisfied if not variables.is_section_satisfied(section_key): # Get list of unsatisfied dependencies for better user feedback unsatisfied_keys = [ dep for dep in section.needs if not variables.is_section_satisfied(dep) ] # Convert section keys to titles for user-friendly display unsatisfied_titles = [] for dep_key in unsatisfied_keys: dep_section = variables.get_section(dep_key) if dep_section: unsatisfied_titles.append(dep_section.title) else: unsatisfied_titles.append(dep_key) dep_names = ( ", ".join(unsatisfied_titles) if unsatisfied_titles else "unknown" ) self.display.display_skipped( section.title, f"requires {dep_names} to be enabled" ) logger.debug( f"Skipping section '{section_key}' - dependencies not satisfied: {dep_names}" ) continue # Always show section header first self.display.display_section_header(section.title, section.description) # Track whether this section will be enabled section_will_be_enabled = True # Handle section toggle - skip for required sections if section.required: # Required sections are always processed, no toggle prompt needed logger.debug( f"Processing required section '{section.key}' without toggle prompt" ) elif section.toggle: toggle_var = section.variables.get(section.toggle) if toggle_var: # Prompt for toggle variable using standard variable prompting logic # This ensures consistent handling of description, extra text, validation hints, etc. 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 # Use section's native is_enabled() method if not section.is_enabled(): section_will_be_enabled = False # Collect variables in this section for var_name, variable in section.variables.items(): # Skip toggle variable (already handled) if section.toggle and var_name == section.toggle: continue # Skip variables with unsatisfied needs (similar to display logic) if not variables.is_variable_satisfied(var_name): logger.debug( f"Skipping variable '{var_name}' - needs not satisfied" ) continue # Skip all variables if section is disabled if not section_will_be_enabled: logger.debug( f"Skipping variable '{var_name}' from disabled section '{section_key}'" ) continue # Prompt for the variable current_value = variable.convert(variable.value) # Pass section.required so _prompt_variable can enforce required inputs new_value = self._prompt_variable(variable, required=section.required) # Track that we've prompted for this variable prompted_variables.add(var_name) # For autogenerated variables, always update even if None (signals autogeneration) if variable.autogenerated and new_value is None: collected[var_name] = None variable.value = None elif new_value != current_value: collected[var_name] = new_value variable.value = new_value 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 (for context/display) 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 converted = variable.validate_and_convert(raw, check_required=True) # Return the converted value (caller will update variable.value) return converted 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}': {str(e)}" ) 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.display_validation_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: if default is None: return Confirm.ask(prompt_text, default=None) converted = ( default if isinstance(default, bool) else str(default).lower() in ("true", "1", "yes", "on") ) return Confirm.ask(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]" )