Method to_backend_config

codewiki/cli/models/config.py:230–277

Convert CLI Configuration to Backend Config. This method bridges the gap between persistent user settings (CLI Configuration) and runtime job configuration (Backend Config). Args: repo_path: Path to the repository to document

(self, repo_path: str, output_dir: str, api_key: str, runtime_instructions: AgentInstructions = None)

            prompt_caching=data.get("prompt_caching", True),
            agent_instructions=agent_instructions,
        )

    def is_complete(self) -> bool:
        """Check if all required fields are set.

        Subscription-mode providers (claude-code, codex) only require
        ``main_model``; ``base_url``, ``cluster_model`` and ``fallback_model``
        are unused.
        """
        from codewiki.src.be.backend import is_caw_provider

        if is_caw_provider(self.provider):
            return bool(self.main_model)
        return bool(
            self.base_url and self.main_model and self.cluster_model and self.fallback_model
        )

    def to_backend_config(
        self,
        repo_path: str,
        output_dir: str,
        api_key: str,
        runtime_instructions: AgentInstructions = None,
    ):
        """
        Convert CLI Configuration to Backend Config.

        This method bridges the gap between persistent user settings (CLI Configuration)
        and runtime job configuration (Backend Config).

        Args:
            repo_path: Path to the repository to document
            output_dir: Output directory for generated documentation
            api_key: LLM API key (from keyring)
            runtime_instructions: Runtime agent instructions (override persistent settings)

        Returns:
            Backend Config instance ready for documentation generation
        """
        from codewiki.src.config import Config

        # Merge runtime instructions with persistent settings
        # Runtime instructions take precedence
        final_instructions = self.agent_instructions
        if runtime_instructions and not runtime_instructions.is_empty():
            final_instructions = AgentInstructions(
                include_patterns=runtime_instructions.include_patterns
                or self.agent_instructions.include_patterns,
                exclude_patterns=runtime_instructions.exclude_patterns
                or self.agent_instructions.exclude_patterns,
                focus_modules=runtime_instructions.focus_modules