import pandas as pd
import json
import datetime
from pprint import pprint

test_json = []
# Load and parse the JSON file
with open('js_result.json', 'r') as file:
    test_json = json.load(file)

ph_dates = [
  '2024-10-18',
]


task1_json = []
# Load and parse the JSON file
with open('task1.json', 'r') as file:
    task1_json = json.load(file)


def get_url_image(js_row):
  url_image = ''

  return None if js_row.get('renditionUrls', {}).get("square") == None else js_row['renditionUrls']['square']


def get_todayinfo(js_row, ph_dates, today_date_str = datetime.datetime.today().strftime('%Y-%m-%d')):
  given_date = datetime.datetime.strptime(today_date_str, '%Y-%m-%d')
  weekdays = ['MON', 'TUE', 'WED', 'THU', 'FRI', 'SAT', 'SUN']
  txt_weekday =  "PH" if today_date_str in  ph_dates else weekdays[given_date.weekday()]

  output = {
    'periodStart': '',
    'periodEnd': '',
    'price': 0,
    'space': 0,
    'today': today_date_str,
    'today_weekday': txt_weekday
    }
  
  if (js_row.get('privateCar') != None):
      jp = js_row['privateCar']
      if (jp.get('space') != None):
        output['space'] = js_row['privateCar']['space']
      if (jp.get('hourlyCharges') != None):
        for i in js_row['privateCar']['hourlyCharges']:
          if txt_weekday in i['weekdays']:
              output['periodStart'] = i['periodStart']
              output['periodEnd'] = i['periodEnd']
              output['price'] = i['price']
              break

  output['today'] = today_date_str
  output['today_weekday'] = txt_weekday

  return output

hodgepodge = []
for jr in test_json:
   hodgepodge.append({**jr, **get_todayinfo(jr, ph_dates), "url_image": get_url_image(jr)})

output = []
for hp in hodgepodge:
   output.append({
      "park_Id": hp.get('park_Id',""),
      "name": hp.get('name',""),
      "displayAddress": hp.get('displayAddress',""),
      "district": hp.get('district',""),
      "latitude": hp.get('latitude',""),
      "longitude": hp.get('longitude',""),
      "opening_status": hp.get('opening_status',""),
      "facilities": hp.get('facilities',"") ,
      "paymentMethods": hp.get('paymentMethods',"") ,
      "modifiedDate": hp.get('modifiedDate',""),
      'periodStart': hp.get('periodStart',""),
      "url_image": hp.get('url_image',""),
      'periodEnd': hp.get('periodEnd',""),
      'price': hp.get('price',""),
      'space': hp.get('space',""),
      'today': hp.get('today',""),
      'today_weekday': hp.get('today_weekday',""),
   })

pprint(output[0])

# Translate the JSON data to a pandas DataFrame
test_df = pd.DataFrame(test_json)

print("done")