Method prep

nodes.py:241–287

(self, shared)

class AnalyzeRelationships(Node):
    def prep(self, shared):
        abstractions = shared[
            "abstractions"
        ]  # Now contains 'files' list of indices, name/description potentially translated
        files_data = shared["files"]
        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

        # Get the actual number of abstractions directly
        num_abstractions = len(abstractions)

        # Create context with abstraction names, indices, descriptions, and relevant file snippets
        context = "Identified Abstractions:\\n"
        all_relevant_indices = set()
        abstraction_info_for_prompt = []
        for i, abstr in enumerate(abstractions):
            # Use 'files' which contains indices directly
            file_indices_str = ", ".join(map(str, abstr["files"]))
            # Abstraction name and description might be translated already
            info_line = f"- Index {i}: {abstr['name']} (Relevant file indices: [{file_indices_str}])\\n  Description: {abstr['description']}"
            context += info_line + "\\n"
            abstraction_info_for_prompt.append(
                f"{i} # {abstr['name']}"
            )  # Use potentially translated name here too
            all_relevant_indices.update(abstr["files"])

        context += "\\nRelevant File Snippets (Referenced by Index and Path):\\n"
        # Get content for relevant files using helper
        relevant_files_content_map = get_content_for_indices(
            files_data, sorted(list(all_relevant_indices))
        )
        # Format file content for context
        file_context_str = "\\n\\n".join(
            f"--- File: {idx_path} ---\\n{content}"
            for idx_path, content in relevant_files_content_map.items()
        )
        context += file_context_str

        return (
            context,
            "\n".join(abstraction_info_for_prompt),
            num_abstractions, # Pass the actual count
            project_name,
            language,
            use_cache,
        )  # Return use_cache

    def exec(self, prep_res):
        (