update,

vihuwach/task1/archive/task2d copy.py

@@ -0,0 +1,90 @@
+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")