Use rich for tables and minor refactors.

Author: girisagar46

requirements.txt

@@ -10,11 +10,11 @@ pillow
 projectq
 qiskit
 requests
+rich
 scikit-fuzzy
 sklearn
 statsmodels
 sympy
-tabulate
 tensorflow
 texttable
 tweepy

web_programming/get_top_billioners.py

@@ -1,41 +1,80 @@
-from datetime import date, datetime
+from datetime import datetime
 
 import requests
-import tabulate
+from rich import box
+from rich import console as rich_console
+from rich import table as rich_table
+
+LIMIT = 10
+TODAY = datetime.now()
 
 API_URL = (
     "https://www.forbes.com/forbesapi/person/rtb/0/-estWorthPrev/true.json"
-    "?fields=personName,gender,source,countryOfCitizenship,"
-    "birthDate,finalWorth&limit=10"
+    "?fields=personName,gender,source,countryOfCitizenship,birthDate,finalWorth"
+    f"&limit={LIMIT}"
 )
 
 
-def real_time_billionaires() -> str:
-    """Get top 10 realtime billionaires using forbes API
+def calculate_age(unix_date: int) -> str:
+    """Calculates age from given unix time format.
+
+    Returns:
+        Age as string
+
+    >>> calculate_age(-657244800000)
+    '73'
+    >>> calculate_age(46915200000)
+    '51'
+    """
+    birthdate = datetime.fromtimestamp(unix_date / 1000).date()
+    return str(
+        TODAY.year
+        - birthdate.year
+        - ((TODAY.month, TODAY.day) < (birthdate.month, birthdate.day))
+    )
+
+
+def get_forbes_real_time_billionaires() -> list[dict[str, str]]:
+    """Get top 10 realtime billionaires using forbes API.
+
     Returns:
-    Top 10 realtime billionaires date in tabulated string.
+        List of top 10 realtime billionaires data.
     """
     response_json = requests.get(API_URL).json()
-    today = date.today()
-    final_response = []
-    for person in response_json["personList"]["personsLists"]:
-        birthdate = datetime.fromtimestamp(person["birthDate"] / 1000).date()
-        final_response.append(
-            {
-                "Name": person["personName"],
-                "Source": person["source"],
-                "Country": person["countryOfCitizenship"],
-                "Gender": person["gender"],
-                "Worth": f"{person['finalWorth'] / 1000:.1f} Billion",
-                "Age": today.year
-                - birthdate.year
-                - ((today.month, today.day) < (birthdate.month, birthdate.day)),
-            }
-        )
-    header = tuple(final_response[0].keys())
-    rows = [x.values() for x in final_response]
-    return tabulate.tabulate(rows, header)
+    return [
+        {
+            "Name": person["personName"],
+            "Source": person["source"],
+            "Country": person["countryOfCitizenship"],
+            "Gender": person["gender"],
+            "Worth ($)": f"{person['finalWorth'] / 1000:.1f} Billion",
+            "Age": calculate_age(person["birthDate"]),
+        }
+        for person in response_json["personList"]["personsLists"]
+    ]
+
+
+def display_billionaires(forbes_billionaires: list[dict[str, str]]) -> None:
+    """Display Forbes real time billionaires in a rich table.
+
+    Args:
+        forbes_billionaires (dict): Forbes top 10 real time billionaires
+    """
+
+    table = rich_table.Table(
+        title=f"Forbes Real Time Billionaires at {TODAY:%Y-%m-%d %H:%M}",
+        style="green",
+        highlight=True,
+        box=box.SQUARE,
+    )
+    for key in forbes_billionaires[0]:
+        table.add_column(key)
+
+    for billionaire in forbes_billionaires:
+        table.add_row(*billionaire.values())
+
+    rich_console.Console().print(table)
 
 
 if __name__ == "__main__":
-    print(real_time_billionaires())
+    display_billionaires(get_forbes_real_time_billionaires())