Import and sort data set

.gitignore

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+.vscode/
+bankView/
+*.lnk
+*.csv
+*.db
+__*__

bankView.py

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+#BankView - Calculate and Build Banking Stats
+#Cal.W 2020
+
+import csv
+from datetime import datetime
+
+TRANSACTION_TYPES = ['Other', "Tap and Pay", "Card", "Deposit"]
+
+#transDetails, transDate, transType, transAcc
+def transDetails(transDetails):
+    transAcc = None
+    transType = TRANSACTION_TYPES[0]
+    transDetails = " ".join(transDetails.split())
+    transDate = None
+
+    z = transDetails.split(" Value Date: ")
+    if len(z) >= 2:
+        transDate = z[1]
+        transDetails = z[0]
+    
+    #Don't Check the first (default) or last ()
+    for x in TRANSACTION_TYPES[1:-1]:
+        y = transDetails.split(" "+x+" ")
+        if len(y) >= 2:
+            transType = x
+            transAcc = y[1]
+            transDetails = y[0]
+            break
+
+    return transDetails, transDate, transType, transAcc
+
+#Return a list of transactions in the form:
+    #(date(Transaction Date), date(Initialized), float(Amount), str(Details), float(Acc Balance), str(Payment Type), str(Acc))
+def importTransactionData(fileName="import.csv", delimiter=',', newline=''):
+    transactions = list()
+    rawTransactions = list()
+
+    with open(fileName, newline=newline) as importCSVFile:
+        importCSV = csv.reader(importCSVFile, delimiter=delimiter)    
+        rawTransactions = [x[:4] for x in importCSV]
+
+    #(date(Transaction Date), date(Initialized), float(Amount), str(Details), float(Acc Balance), str(Payment Type), str(Acc))
+    for x in rawTransactions:
+        y = transDetails(x[2])
+        transactions.append(
+            (
+                datetime.strptime(x[0], "%d/%m/%Y"),
+                datetime.strptime(
+                    y[1] if y[1] else x[0], 
+                    "%d/%m/%Y"
+                ),
+                float(str(x[1]).replace(",", "")),
+                str(y[0]),
+                float(str(x[3]).replace(",", "")),
+                TRANSACTION_TYPES[-1] if y[2] == TRANSACTION_TYPES[0] and float(str(x[1]).replace(",", "")) > 0 else str(y[2]),
+                str(y[3]) if y[3] else ""
+            )
+        )
+    
+    #Filter out any duplicates - the 2 lines are the same (logic wise) as the 8 under it
+    seen = set()
+    transactions = [x for x in transactions if x not in seen and not seen.add(x)] #oh and the "not seen.add" is cause add always returns None
+        ##seen = set()
+        ##trans = []
+        ##for x in transactions:
+        ##    if x not in seen:
+        ##        trans.append(x)
+        ##        seen.add(x)
+        ##    else:
+        ##        print(x)
+        ##transactions = trans
+
+    transactions = sorted(transactions, reverse = True, key = lambda x: x[1]) #Sort from init date.
+        
+
+    return transactions
+
+
+def loadTransactionData(fileName="transData.csv"):
+    transactions = list()
+    
+    with open(fileName, newline='') as importCSVFile:
+        importCSV = csv.reader(importCSVFile, delimiter=',')    
+        transactions = [x[:7] for x in importCSV]
+    
+    transactions = [
+        (
+            datetime.strptime(x[0], "%d/%m/%Y"),
+            datetime.strptime(str(x[1]), "%d/%m/%Y"),
+            float(x[2]),
+            str(x[3]),
+            float(x[4]),
+            str(x[5]),
+            str(x[6]) if len(x) > 6 else ""
+        ) for x in transactions
+    ]
+
+    transactions = sorted(transactions, reverse = True, key = lambda x: x[1]) #Sort from init date.
+
+    return transactions
+
+def saveTransactionData(transactions, fileName="transData.csv"):
+    with open(fileName, 'w', newline='') as f:
+        writer = csv.writer(f)
+        writer.writerows([
+            (
+                x[0].strftime("%d/%m/%Y"),
+                x[1].strftime("%d/%m/%Y"),
+                x[2],
+                x[3],
+                x[4],
+                x[5],
+                x[6],
+            ) for x in transactions
+        ])
+    
+    return
+
+
+if __name__ == "__main__":
+    trans = importTransactionData() #importTransactionData("./Raw Transaction Data.csv")
+    [print(x) for x in trans if x[-2] == TRANSACTION_TYPES[0]]
+    saveTransactionData(trans)