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The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
39 lines
2.2 KiB
YAML
39 lines
2.2 KiB
YAML
rules:
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- id: no-direct-kafka-producer-construction
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message: >-
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Do not construct Kafka producer primitives directly. Use the public API in
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`insights.kafka_client.routing` (`get_producer`, `producer_scope`,
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`async_producer_scope`, `new_async_producer`, `flush_all_producers`).
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Direct construction bypasses the topic→cluster
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routing map and the Warpstream-specific producer config. Importing
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`_KafkaProducer` / `_AsyncKafkaProducer` for type hints is fine.
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severity: ERROR
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languages: [python]
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pattern-either:
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- pattern: _KafkaProducer(...)
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- pattern: _AsyncKafkaProducer(...)
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- pattern: aiokafka.AIOKafkaProducer(...)
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- pattern: AIOKafkaProducer(...)
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paths:
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exclude:
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# Routing module is the only allowed constructor of the primitives.
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- /insights/kafka_client/routing.py
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# The primitives live here.
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- /insights/kafka_client/client.py
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# Tests for the primitives themselves.
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- /insights/kafka_client/test/test_client.py
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# Existing integration tests that explicitly opt out of the test stub
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# to exercise a real broker. These are gated behind KAFKA_ROUNDTRIP_TESTS.
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- /insights/dags/tests/test_person_property_reconciliation.py
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- /insights/temporal/tests/dlq_replay/test_activities.py
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- /insights/temporal/tests/common/test_logger.py
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# DLQ replay needs per-message header passthrough, which confluent's
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# AIOProducer refuses in batch mode. Uses raw aiokafka with cluster
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# config resolved via get_profile_settings().
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- /insights/temporal/dlq_replay/activities.py
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# Batch export metrics path — tests assert metrics land in Datastore
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# via the kafka→CH ingest pipeline, and the confluent AIOProducer
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# behaves differently in that test environment. Left on raw aiokafka
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# to keep existing tests passing; migrate in a follow-up PR.
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- /products/batch_exports/backend/temporal/batch_exports.py
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