membershipworks: Use bulk upsert when scraping transactions

Instead of trying to do fiddly things with relative times, which turns
out not to work very well. This will break if anyone changes the sid
or timestamp of a transaction though (because of course
MembershipWorks allows editing those).

membershipworks/migrations/0003_transaction_unique_sid_timestamp.py

@@ -0,0 +1,18 @@
+# Generated by Django 5.1 on 2024-09-02 16:29
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("membershipworks", "0002_historical_member_and_flags"),
+    ]
+
+    operations = [
+        migrations.AddConstraint(
+            model_name="transaction",
+            constraint=models.UniqueConstraint(
+                models.F("sid"), models.F("timestamp"), name="unique_sid_timestamp"
+            ),
+        ),
+    ]

membershipworks/models.py

@@ -373,6 +373,9 @@ class Transaction(BaseModel):
 
     class Meta:
         db_table = "transactions"
+        constraints = [
+            models.UniqueConstraint("sid", "timestamp", name="unique_sid_timestamp")
+        ]
 
     def __str__(self):
         return f"{self.type} [{self.member if self.member else self.name}] {self.timestamp}"

membershipworks/tasks/scrape.py

@@ -70,27 +70,47 @@ def scrape_members(membershipworks: MembershipWorks):
 def scrape_transactions(membershipworks: MembershipWorks):
     now = datetime.now()
     start_date = datetime(2010, 1, 1)
-    last_transaction = Transaction.objects.order_by("timestamp").last()
-    if last_transaction is not None:
-        # technically this has the potential to lose
-        # transactions, but it should be incredibly unlikely
-        start_date = last_transaction.timestamp + timedelta(seconds=1)
-
-    logger.info(f"Getting/Updating transactions since {start_date}...")
 
     transactions_csv = membershipworks.get_transactions(start_date, now)
     transactions_json = membershipworks.get_transactions(start_date, now, json=True)
     # this is terrible, but as long as the dates are the same, should be fiiiine
-    transactions = [
+    transactions_data = [
         {**j, **v} for j, v in zip(transactions_csv, transactions_json, strict=True)
     ]
     assert all(
         t["Account ID"] == t.get("uid", "") and t["Payment ID"] == t.get("sid", "")
-        for t in transactions
+        for t in transactions_data
     )
 
-    for csv_transaction in transactions:
-        Transaction.from_api_dict(csv_transaction).save()
+    transactions = [
+        Transaction.from_api_dict(transaction) for transaction in transactions_data
+    ]
+    Transaction.objects.bulk_create(
+        transactions,
+        update_conflicts=True,
+        update_fields=(
+            "member",
+            "type",
+            "sum",
+            "fee",
+            "event_id",
+            "for_what",
+            "items",
+            "discount_code",
+            "note",
+            "name",
+            "contact_person",
+            "full_address",
+            "street",
+            "city",
+            "state_province",
+            "postal_code",
+            "country",
+            "phone",
+            "email",
+        ),
+        unique_fields=("sid", "timestamp"),
+    )
 
 
 @q_task_group("Scrape MembershipWorks Data")