import os
import json
import networkx as nx
from pyast_ts import parse
import cssutils
import logging

# Configure logging
logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)

# Configure cssutils to ignore noisy error messages
cssutils.log.setLevel(logging.CRITICAL)

def analyze_react_project(project_path: str) -> dict:
    """
    Analyzes a React project, building a graph of its components and styles.

    Args:
        project_path: The root path of the React project.

    Returns:
        A dictionary containing the component graph and analysis report.
    """
    log.info(f"Starting analysis of project at: {project_path}")
    graph = nx.DiGraph()
    
    # Supported extensions for react/js/ts files
    supported_exts = ('.js', '.jsx', '.ts', '.tsx')

    for root, _, files in os.walk(project_path):
        for file in files:
            file_path = os.path.join(root, file)
            relative_path = os.path.relpath(file_path, project_path)

            if file.endswith(supported_exts):
                graph.add_node(relative_path, type='file', language='typescript')
                try:
                    with open(file_path, 'r', encoding='utf-8') as f:
                        content = f.read()
                    
                    # Placeholder for AST parsing and analysis
                    # ast = parse(content)
                    # For now, we'll just add the node
                    
                except Exception as e:
                    log.error(f"Could not process file {file_path}: {e}")

            elif file.endswith('.css'):
                graph.add_node(relative_path, type='file', language='css')
                try:
                    # Placeholder for CSS parsing
                    # sheet = cssutils.parseFile(file_path)
                    pass
                except Exception as e:
                    log.error(f"Could not parse css file {file_path}: {e}")

    log.info(f"Analysis complete. Found {graph.number_of_nodes()} files.")
    
    # Convert graph to a serializable format
    serializable_graph = nx.node_link_data(graph)
    
    return serializable_graph

def save_analysis(project_path: str, analysis_data: dict):
    """
    Saves the analysis data to a file in the project's .dss directory.
    """
    dss_dir = os.path.join(project_path, '.dss')
    os.makedirs(dss_dir, exist_ok=True)
    
    output_path = os.path.join(dss_dir, 'analysis_graph.json')
    
    with open(output_path, 'w', encoding='utf-8') as f:
        json.dump(analysis_data, f, indent=2)
        
    log.info(f"Analysis data saved to {output_path}")

if __name__ == '__main__':
    # Example usage:
    # Replace '.' with the actual path to a React project for testing.
    # In a real scenario, this would be called by the MCP.
    target_project_path = '.' 
    analysis_result = analyze_react_project(target_project_path)
    save_analysis(target_project_path, analysis_result)