gitignore

.gitignore

@@ -163,4 +163,7 @@ cython_debug/
 #.idea/
 
 # IDEs
-.vscode/
+.vscode/
+
+TODO.md
+.python-version

README.md

@@ -32,7 +32,7 @@ To get started with Fanta Formazioni Reminder, follow these steps:
 
 Before running the bot, you'll need the following:
 
-- Python 3.x installed on your system.
+- Python 3.x installed on your system. The bot is developed in Python 3.11.4.
 - A Telegram account and a bot token obtained from the [BotFather](https://core.telegram.org/bots#botfather).
 
 ### Installation
@@ -78,8 +78,8 @@ The bot provides various commands to interact with it. You can start a chat with
 
 - `/start`: Start a chat with the bot and get an introduction.
 - `/aggiungi_data`: Save a custom date to be reminded in the chat you used this command.
-- `/prossima_scadenza`: Display the next deadline for setting up your team's lineup. 
-- `/annulla`: Cancel an ongoing conversation with the bot. 
+- `/prossima_scadenza`: Display the next deadline for setting up your team's lineup.
+- `/annulla`: Cancel an ongoing conversation with the bot.
 - `/help`: Display a help message with available commands.
 
 Feel free to explore and customize the bot's functionality as per your requirements.

clean_wiki_data.py

@@ -13,42 +13,36 @@
 CSV_PATH: Final = os.getenv("SERIE_A_CALENDAR_PATH")
 CSV_URL: Final = os.getenv("SERIE_A_CALENDAR_URL")
 
+
 def download_csv(url, dest_path) -> None:
     response = requests.get(url)
-    with open(dest_path, 'wb') as file:
+    with open(dest_path, "wb") as file:
         file.write(response.content)
 
+
 def get_cleaned_dates() -> List[datetime]:
-
     # Download the CSV file
     download_csv(CSV_URL, CSV_PATH)
-    
+
     # Read the data from the CSV file
-    with open(CSV_PATH, newline='', encoding='utf-8') as csvfile:
+    with open(CSV_PATH, newline="", encoding="utf-8") as csvfile:
         reader = csv.DictReader(csvfile)
-        
+
         # Initialize a dictionary to store the earliest date for each round
         dates = {}
 
-        # Map month names to integers using a dictionary
-        months_mapping = {
-            "gen.": 1, "feb.": 2, "mar.": 3, "apr.": 4, "mag.": 5, "giu.": 6,
-            "lug.": 7, "ago.": 8, "set.": 9, "ott.": 10, "nov.": 11, "dic.": 12,
-        }
-
         # Iterate through each row in the CSV file
         for row in reader:
             # Extract date and time from the CSV row
             date_str = row["Date"]
-            time_str = date_str.split()[-1]  # Extract time from the end of the date string
 
             # Convert date string to datetime object
             date_obj = datetime.strptime(date_str, "%d/%m/%Y %H:%M")
 
             # Subtract 5 minutes from the datetime
             date_obj -= timedelta(minutes=5)
 
-           # Extract round number from the CSV row
+            # Extract round number from the CSV row
             round_number = int(row["Round Number"])
 
             # Update the earliest date for the round if needed