import csv
import json
import re

def parse_description(description_text):
    """
    Parses the description text into a structured dictionary.
    """
    headers = [
        "Background", "Problem Description", "Description", 
        "Impact / Why this problem needs to be solved", "Impact", 
        "Expected Solution", "Expected Outcomes", 
        "Relevant Stakeholders / Beneficiaries", "Supporting Data", 
        "Objective", "Technical Scope", "Data Acquisition & Sampling", 
        "Data Processing & Analysis", "Output & Storage", 
        "Key Performance Parameters", "Eligibility", "Evaluation Criteria", 
        "Deliverables", "Conclusion", "Innovative Features", "Key Features", 
        "Additional Features", "Digital Tourist ID Generation Platform", 
        "Mobile Application for Tourists", "AI-Based Anomaly Detection", 
        "Tourism Department & Police Dashboard", "IoT Integration (Optional)", 
        "Multilingual Support", "Data Privacy & Security"
    ]
    
    pattern = r'^\s*(' + '|'.join(re.escape(h) for h in headers) + r')\s*$'
    parts = re.split(pattern, description_text, flags=re.MULTILINE)
    
    details = {}
    if parts[0].strip():
        details['introduction'] = parts[0].strip()

    it = iter(parts[1:])
    for header in it:
        content = next(it, "").strip()
        if header and content:
            key = header.strip().lower().replace(' ', '_').replace('/', '_').replace('(', '').replace(')', '')
            details[key] = content

    if not details:
        return {'full_text': description_text.strip()}
        
    return details

def convert_csv_to_unified_json(csv_file_path, json_file_path):
    """
    Converts a CSV to a JSON file containing both the full description and a parsed version.
    """
    problems = []
    with open(csv_file_path, mode='r', encoding='utf-8') as csv_file:
        csv_reader = csv.DictReader(csv_file)
        
        for row in csv_reader:
            cleaned_row = {key.strip().replace(' ', '_').replace('.', ''): value for key, value in row.items()}
            
            full_description = cleaned_row.get('Problem_Description', '').strip()
            
            problem_data = {
                's_no': int(cleaned_row.get('SNo', 0)),
                'organization': cleaned_row.get('Organization', ''),
                'title': cleaned_row.get('Problem_Statement_Title', ''),
                'category': cleaned_row.get('Category', ''),
                'ps_number': cleaned_row.get('PS_Number', ''),
                'submitted_ideas_count': int(cleaned_row.get('Submitted_Ideas_Count', 0)),
                'theme': cleaned_row.get('Theme', ''),
                'problem_description': full_description,
                'details': parse_description(full_description)
            }
            problems.append(problem_data)

    with open(json_file_path, mode='w', encoding='utf-8') as json_file:
        json.dump({"problems": problems}, json_file, indent=4)

if __name__ == '__main__':
    csv_input_file = 'SIH_Problem_Statements.csv'
    json_output_file = 'SIH_Problem_Statements_unified.json'
    
    convert_csv_to_unified_json(csv_input_file, json_output_file)
    
    print(f"Successfully created unified JSON file: '{json_output_file}'")