Finish ofx script. It now automatically merges the latest data into the CSV file.

getofx.py

@@ -44,6 +44,7 @@ class Config:
     client: ClientConfig
     accounts: List[AccountConfig]
 
+
 @dataclass
 class Transaction:
     date: str
@@ -52,8 +53,12 @@ class Transaction:
 
 
 def get_transactions(client: OFXClient, secret: str, account: AccountConfig):
-    dtstart = datetime.datetime(2020, 1, 1, tzinfo=ofxtools.utils.UTC)
-    dtend = datetime.datetime(2020, 12, 31, tzinfo=ofxtools.utils.UTC)
+    """ The idea is that I run this often enough so that the last 30 days of
+    data are enough to never lose a transaction. This would be the syntax to
+    create a datetime object with an arbitrary date:
+        datetime.datetime(2020, 1, 1, tzinfo=ofxtools.utils.UTC)"""
+    dtend = datetime.datetime.utcnow().replace(tzinfo=ofxtools.utils.UTC)
+    dtstart = dtend - datetime.timedelta(days=30)
 
     if account.accttype.upper() in ("CHECKING", "SAVINGS"):
         rq = StmtRq(acctid=account.acctid, accttype=account.accttype.upper(),
@@ -64,10 +69,14 @@ def get_transactions(client: OFXClient, secret: str, account: AccountConfig):
     parser = OFXTree()
     parser.parse(response)
     ofx = parser.convert()
+
+    # Sort by date because my credit transactions come in random order.
+    translist = sorted(ofx.statements[0].banktranlist, reverse=True,
+                       key=lambda t: t.dtposted)
+
     ts = [Transaction(t.dtposted.strftime("%m/%d/%Y"),
                       t.name + " " + t.memo  if t.memo else t.name,
-                      str(t.trnamt))
-          for t in ofx.statements[0].banktranlist]
+                      str(t.trnamt)) for t in translist]
     return ts
 
 
@@ -83,23 +92,56 @@ def write_csv(account: AccountConfig, transactions: List[Transaction]):
         return [getattr(t, f) if hasattr(t, f) else f
                 for f in account.fields]
 
-    status = "no change"
+    def merge_rows(csv_rows: List, ofx_rows: List) -> (List, int):
+        """ Prepend new transactions to the one from the CSV file. We assume
+        that both the new transactions from OFX and the transactions in the CSV
+        file are sorted in descending order, meaning the newest transaction
+        comes first.  The idea is then to see if one of the new transactions
+        matches the latest one in the CSV file. If yes, we include all newer
+        transactions from the CSV file. If no, we include all transactions. """
+        csv_rows.reverse()
+        ofx_rows.reverse()
+        newest_csv_row = csv_rows[-1]
+        new_rows = 0
+        row_found = False
+        for row in ofx_rows:
+            if row_found is False and row == newest_csv_row:
+                row_found = True
+            elif row_found is True:
+                csv_rows.append(row)
+                new_rows += 1
+        if not row_found:
+            csv_rows += ofx_rows
+            new_rows = len(ofx_rows)
+        csv_rows.reverse()
+        return (csv_rows, new_rows)
 
+    status = "no change"
     csv_file = account.csv_file
+    ofx_rows = [transaction_to_csv_row(t) for t in transactions]
     if not os.path.isfile(csv_file):
-        status = "new"
-        with open(account.csv_file, "w") as f:
-            csv_writer = csv.writer(f)
-            csv_writer.writerow(["date", "description", "amount"])
-            for t in transactions:
-                r = transaction_to_csv_row(t)
-                csv_writer.writerow(r)
+        new_rows = len(ofx_rows)
+        status = f"new ({new_rows})"
+        rows = ofx_rows
+        header = ["date", "description", "amount"]
     else:
-        # TODO: diff rows and append only the new once.
-        pass
+        with open(csv_file, 'r') as f:
+            reader = csv.reader(f)
+            header = next(reader) # skip header
+            csv_rows = list(reader)
+        rows, new_rows = merge_rows(csv_rows, ofx_rows)
+        if new_rows > 0:
+            status = f"update ({new_rows})"
 
     logging.warning(f"{account.name:30} -> {account.csv_file:30} | {status}")
+    if new_rows == 0:
+        return
 
+    with open(account.csv_file, "w") as f:
+        csv_writer = csv.writer(f)
+        csv_writer.writerow(header)
+        for r in rows:
+            csv_writer.writerow(r)
 
 
 def get_client(c: ClientConfig) -> OFXClient:
@@ -110,9 +152,9 @@ def get_client(c: ClientConfig) -> OFXClient:
 
 def parse_config(config_file: str) -> Config:
     with open(config_file, 'r') as f:
-        # We could use the dacite package if the configureation
-        # gets more complex and for automatical type ckecking, but
-        # probably not worth it as this point.
+        # We could use the dacite package to parse the configuration
+        # recursively with full type checking. Probably not worth it at this
+        # point.
         config = Config(**json.load(f))
         config.client = ClientConfig(**config.client)
         config.accounts = [AccountConfig(**a) for a in config.accounts]