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Data migration to backfill new category counts
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# Generated by Django 5.1.4 on 2025-01-09 18:35 | ||
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import itertools | ||
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from django.db import migrations, transaction | ||
from django.db.models import Sum | ||
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def backfill_new_counts(apps, schema_editor): | ||
Flow = apps.get_model("flows", "Flow") | ||
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flow_ids = list(Flow.objects.filter(is_active=True).order_by("id").values_list("id", flat=True)) | ||
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print(f"Updating result counts for {len(flow_ids)} flows...") | ||
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num_backfilled = 0 | ||
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for id_batch in itertools.batched(flow_ids, 500): | ||
flows = Flow.objects.filter(id__in=id_batch).only("id").order_by("id") | ||
for flow in flows: | ||
backfill_for_flow(apps, flow) | ||
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num_backfilled += len(flows) | ||
print(f"> updated counts for {num_backfilled} of {len(flow_ids)} flows") | ||
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def backfill_for_flow(apps, flow) -> int: | ||
FlowResultCount = apps.get_model("flows", "FlowResultCount") | ||
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to_create = [] | ||
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counts = flow.category_counts.values("result_key", "category_name").annotate(total=Sum("count")) | ||
for c in counts: | ||
if c["category_name"] and c["total"] > 0: | ||
to_create.append( | ||
FlowResultCount( | ||
flow=flow, result=c["result_key"][:64], category=c["category_name"][:64], count=c["total"] | ||
) | ||
) | ||
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with transaction.atomic(): | ||
flow.result_counts.all().delete() | ||
FlowResultCount.objects.bulk_create(to_create) | ||
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class Migration(migrations.Migration): | ||
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dependencies = [("flows", "0354_flowresultcount")] | ||
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operations = [migrations.RunPython(backfill_new_counts, migrations.RunPython.noop)] |
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from temba.tests import MigrationTest | ||
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class BackfillNewCategoryCountsTest(MigrationTest): | ||
app = "flows" | ||
migrate_from = "0354_flowresultcount" | ||
migrate_to = "0355_backfill_new_cat_counts" | ||
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def setUpBeforeMigration(self, apps): | ||
self.flow1 = self.create_flow("Flow 1") | ||
self.flow2 = self.create_flow("Flow 2") | ||
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self.flow1.category_counts.create( | ||
node_uuid="0043bf6f-f385-4ba3-80d7-4313771efa86", | ||
result_key="color", | ||
result_name="Color", | ||
category_name="Red", | ||
count=1, | ||
) | ||
self.flow1.category_counts.create( | ||
node_uuid="2c230f54-a7f6-4a71-9f24-b3ba81734552", | ||
result_key="color", | ||
result_name="Color", | ||
category_name="Red", | ||
count=2, | ||
) | ||
self.flow1.category_counts.create( | ||
node_uuid="0043bf6f-f385-4ba3-80d7-4313771efa86", | ||
result_key="color", | ||
result_name="Color", | ||
category_name="Blue", | ||
count=4, | ||
) | ||
self.flow1.category_counts.create( | ||
node_uuid="f27d77e9-4ccb-4c36-8277-f5708822cf26", | ||
result_key="name", | ||
result_name="Name", | ||
category_name="All Responses", | ||
count=6, | ||
) | ||
self.flow2.category_counts.create( | ||
node_uuid="daf35e03-b82e-4c12-8ff7-60f7d990eb05", | ||
result_key="thing", | ||
result_name="Thing", | ||
category_name="Looooonnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnggggggggggggnnggggggggggggggggg", | ||
count=2, | ||
) | ||
self.flow2.category_counts.create( | ||
node_uuid="daf35e03-b82e-4c12-8ff7-60f7d990eb05", | ||
result_key="thing", | ||
result_name="Thing", | ||
category_name="Zero", | ||
count=0, | ||
) | ||
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def test_migration(self): | ||
def assert_counts(flow, expected): | ||
actual = {} | ||
for count in flow.result_counts.all(): | ||
actual[f"{count.result}/{count.category}"] = count.count | ||
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self.assertEqual(actual, expected) | ||
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assert_counts(self.flow1, {"color/Red": 3, "color/Blue": 4, "name/All Responses": 6}) | ||
assert_counts(self.flow2, {"thing/Looooonnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnggggggggggggnngggggggggg": 2}) |