1 files changed, 16 insertions, 20 deletions
diff --git a/python/monthly_interest.py b/python/monthly_interest.py
index b6a3b3b0..72987b58 100644
--- a/python/monthly_interest.py
+++ b/python/monthly_interest.py
@@ -93,11 +93,7 @@ def get_CITI(path):
 
 def get_GS(g):
     for e in g:
-        if "TOTAL INTEREST" in e.text:
-            breakpoint()
-            print(next(g).text)
-            print(next(g).text)
-            next(g)
+        if "due to" in e.text:
             return float(next(g).text.replace("USD", "").replace(",", ""))
 
 
@@ -113,8 +109,8 @@ def get_BAML(g):
 
 
 def get_JPM(g):
-    breakpoint()
     for e in g:
+        print(e.text)
         if "Page" in e.text:
             return float(value)
         value = e.text
@@ -147,6 +143,7 @@ def get_interest(delete=False):
             ).glob("*.pdf"):
                 g = iter(load_pdf(file))
                 amount = func(g)
+                print(cp, ":", amount)
                 interest_amounts[cp] = interest_amounts[cp] + amount
         if delete:
             try:
@@ -168,7 +165,7 @@ parser.add_argument("start")
 parser.add_argument("end", default=datetime.date.today())
 parser.add_argument("--auto", action="store_true", help="for automation or for monthly")
 parser.add_argument(
-    "--delete", action="store_true", default=True, help="for automation or for monthly"
+    "--delete", action="store_true", default=False, help="for automation or for monthly"
 )
 args = parser.parse_args()
 
@@ -178,16 +175,15 @@ for cp in counterparties:
     else:
         download_messages(em, cp, args.start, args.end)
 
-if args.auto:
-    df = get_interest(delete=args.delete)
-    start, end = start_end(
-        datetime.datetime.today().year, datetime.datetime.today().month - 1
-    )
-    new_df = pd.merge(
-        export_data(start, end).groupby("broker").sum(),
-        df,
-        how="outer",
-        left_index=True,
-        right_index=True,
-    )
-    new_df["difference"] = new_df["amount"] - new_df["monthly_statement"]
+df = get_interest(delete=args.delete)
+start, end = start_end(
+    datetime.datetime.today().year, datetime.datetime.today().month - 1
+)
+new_df = pd.merge(
+    export_data(start, end).groupby("broker").sum(),
+    df,
+    how="outer",
+    left_index=True,
+    right_index=True,
+)
+new_df["difference"] = new_df["amount"] - new_df["monthly_statement"]