# https://api.data.gov.hk/v1/carpark-info-vacancy?data=vacancy&vehicleTypes=privateCar
import requests
from pprint import pprint

url = "https://api.data.gov.hk/v1/carpark-info-vacancy"
params = {
    "data": "vacancy",
    "vehicleTypes": "privateCar"
}

response = requests.get(url, params=params)
js_result = response.json()['results']

output = []
for js_row in js_result:
  if ((type(js_row.get('privateCar')) == type([]) ) and len(js_row.get('privateCar'))> 0):
      if (js_row.get('privateCar')[0].get("vacancy_type",'-')== "A"):
        output.append(js_row)

test_json = [{
    'park_Id': '10',
    'privateCar': [{
        'vacancy_type': 'A',
        'vacancy': 29,
        'lastupdate': '2024-10-18 16:04:59'
    }]
}]

import pandas as pd

# Create a DataFrame from the test_json
df = pd.json_normalize(test_json, record_path=['privateCar'], meta='park_Id')


# Extract the 'vacancy' column and flatten it
vacancy_df = df[['park_Id', 'vacancy']]

print(vacancy_df)


pprint(output[0])
pprint("length of json: "+str(len(output)))

import json

# Store output into task3_output.json
with open('task3_output.json', 'w') as outfile:
    json.dump(output, outfile, indent=2)