Method prep

nodes.py:411–452

(self, shared)

class OrderChapters(Node):
    def prep(self, shared):
        abstractions = shared["abstractions"]  # Name/description might be translated
        relationships = shared["relationships"]  # Summary/label might be translated
        project_name = shared["project_name"]  # Get project name
        language = shared.get("language", "english")  # Get language
        use_cache = shared.get("use_cache", True)  # Get use_cache flag, default to True

        # Prepare context for the LLM
        abstraction_info_for_prompt = []
        for i, a in enumerate(abstractions):
            abstraction_info_for_prompt.append(
                f"- {i} # {a['name']}"
            )  # Use potentially translated name
        abstraction_listing = "\n".join(abstraction_info_for_prompt)

        # Use potentially translated summary and labels
        summary_note = ""
        if language.lower() != "english":
            summary_note = (
                f" (Note: Project Summary might be in {language.capitalize()})"
            )

        context = f"Project Summary{summary_note}:\n{relationships['summary']}\n\n"
        context += "Relationships (Indices refer to abstractions above):\n"
        for rel in relationships["details"]:
            from_name = abstractions[rel["from"]]["name"]
            to_name = abstractions[rel["to"]]["name"]
            # Use potentially translated 'label'
            context += f"- From {rel['from']} ({from_name}) to {rel['to']} ({to_name}): {rel['label']}\n"  # Label might be translated

        list_lang_note = ""
        if language.lower() != "english":
            list_lang_note = f" (Names might be in {language.capitalize()})"

        return (
            abstraction_listing,
            context,
            len(abstractions),
            project_name,
            list_lang_note,
            use_cache,
        )  # Return use_cache

    def exec(self, prep_res):
        (