format

README.md

@@ -1,5 +1,7 @@
 # fava-monthly-expenses
 
+## Screenshot
+![screenshot](./showcase.webm) 
 ## Get Started
 add this line to your main beancount file:
 

monthly_expenses/__init__.py

@@ -20,10 +20,6 @@ class MonthlyExpenses(FavaExtensionBase):  # pragma: no cover
 
     report_title = "Monthly Expenses"
 
-    def valid(self):
-        return "ok" if "account_used_to_get_valid_month" in self.config else "missing account_used_to_get_valid_month"
-
-
     def get_all_report(self):
         return [self.build_report_for_account(account) for account in self.config['accounts']]
 
@@ -54,7 +50,7 @@ def build_report_for_account(self, account):
         entries = self.ledger.all_entries
         opts = self.ledger.options
         if "operating_currency" not in opts or len(opts["operating_currency"]) == 0:
-            return "","","",account,"missing operating_currency"
+            return "", "", "" ,account, "missing operating_currency"
         currency = opts["operating_currency"][0]
         cols, rows = run_query(entries, opts,
                                f"SELECT account, YEAR(date) AS year, convert(sum(position),'{currency}') AS amount\
@@ -70,7 +66,7 @@ def build_report_for_account(self, account):
         df = df.replace({'month_count': month_count})
         print(df)
         if df.empty:
-            return "","","",account,"no transaction under this account"
+            return "" ,"" ,"" ,account , "no transaction under this account"
         df[f'amount ({currency})'] = df[f'amount ({currency})'] / df['month_count']
         df = df.drop(columns=['month_count'])
         df.rename(columns={"account": "Account", "year": "Year", f"amount ({currency})": f"Amount ({currency})"}, inplace=True)
@@ -82,9 +78,7 @@ def build_report_for_account(self, account):
         n_levels = df["Account"].str.count(":").max() + 1
 
         if n_levels == account.count(":") + 1:
-            print("account is at the lowest level")
-            return "","","",account,"no finer level under this account"
-
+            return "", "", "", account, "no finer level under this account"
 
         cols = ["Account_L{}".format(k) for k in range(n_levels)]
         df[cols] = df["Account"].str.split(':', n=n_levels - 1, expand=True)