import sys
import requests
from dbfread import DBF
from datetime import date, datetime
import csv

def convert_dates_to_strings(data):
    """
    Recursively convert date and datetime objects in the data to strings.
    """
    if isinstance(data, list):
        return [convert_dates_to_strings(item) for item in data]
    elif isinstance(data, dict):
        return {key: convert_dates_to_strings(value) for key, value in data.items()}
    elif isinstance(data, (date, datetime)):
        return data.isoformat()
    else:
        return data

def read_dbf_file(file_path, columns):
    data = []
    try:
        # Open the .dbf file
        with DBF(file_path) as dbf:
            # Iterate over each record in the .dbf file
            for record in dbf:
                # Filter the record to include only the specified columns
                filtered_record = {column: record.get(column) for column in columns}
                data.append(filtered_record)
    except Exception as e:
        print("Error:", e)
    return data

def save_data_to_csv(data, file_path, columns):
    try:
        with open(file_path, 'w', newline='') as csv_file:
            writer = csv.DictWriter(csv_file, fieldnames=columns)
            writer.writeheader()
            writer.writerows(data)
        print(f"CSV saved to {file_path}")
    except Exception as e:
        print("Error saving CSV to file:", e)

def send_data_to_api(csv_file_path):
    try:
        # API endpoint
        url = "https://127.0.0.1/api/v1/migrateUsers"
        
        # Send CSV file with data as multipart form-data
        files = {'file': open(csv_file_path, 'rb')}
        response = requests.post(url, files=files)
        
        # Check response status
        if response.status_code == 200:
            response_data = response.json()
            # Print the message
            print(f"Message from server: {response_data.get('message')}")
            print("CSV file sent successfully to the API")
        else:
            # Print the error message and response content
            print("Failed to send CSV file to the API. Status code:", response.status_code)
            print("Response content:", response.content.decode('utf-8'))
    except Exception as e:
        # Print the general error message
        print("Error:", e)

if __name__ == "__main__":
    # Check if the file path is provided as a command-line argument
    if len(sys.argv) < 2:
        print("Usage: python script.py <dbf_file_path>")
    else:
        # Get the file path from the command-line arguments
        dbf_file_path = sys.argv[1]
        # Specify the columns to be extracted
        columns_to_extract = ["ACTP", "ACNO", "NAME2", "ADD1", "ADD2", "ADD3", "PLACE", "PIN", "PHONE"]
        # Call the function to read the .dbf file with specific columns
        dbf_data = read_dbf_file(dbf_file_path, columns_to_extract)
        # Save the data to a CSV file
        save_data_to_csv(dbf_data, 'users.csv', columns_to_extract)
        # Print the data as JSON array
        print("Sending data to the API...")
        # Call the function to send data to the API
        send_data_to_api('users.csv')