mirror of
https://github.com/hanzoai/insights.git
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zeekay
1b367e2b62
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.
65 lines
2.2 KiB
TypeScript
65 lines
2.2 KiB
TypeScript
import {
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KAFKA_APP_METRICS_2,
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KAFKA_DATASTORE_HEATMAP_EVENTS,
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KAFKA_EVENTS_PLUGIN_INGESTION_DLQ,
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KAFKA_INGESTION_WARNINGS,
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} from '~/common/config/kafka-topics'
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import { PluginServerMode } from '../src/common/config'
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import { IngestionGeneralServer } from '../src/servers/ingestion-general-server'
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import { ensureKafkaTopics } from './helpers/kafka'
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import { resetTestDatabase } from './helpers/sql'
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jest.setTimeout(20000) // 20 sec timeout - longer indicates an issue
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describe('ingestion general server', () => {
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jest.retryTimes(3) // Flakey due to reliance on kafka/datastore
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let server: IngestionGeneralServer | null = null
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beforeAll(async () => {
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// Combined mode starts the clientwarnings and heatmaps consumers, which verify their output
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// topics exist and fail startup if they don't (unlike the analytics consumer, which only
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// logs). Create those topics so the check is deterministic rather than relying on ambient
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// topics left by other tests.
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await ensureKafkaTopics([
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KAFKA_DATASTORE_HEATMAP_EVENTS,
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KAFKA_INGESTION_WARNINGS,
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KAFKA_EVENTS_PLUGIN_INGESTION_DLQ,
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KAFKA_APP_METRICS_2,
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])
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})
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beforeEach(async () => {
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jest.spyOn(process, 'exit').mockImplementation()
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await resetTestDatabase()
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})
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afterEach(async () => {
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if (server) {
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await server.stop()
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expect(process.exit).toHaveBeenCalledTimes(1)
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expect(process.exit).toHaveBeenCalledWith(0)
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server = null
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}
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})
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it('should not error on startup - ingestion_v2', async () => {
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server = new IngestionGeneralServer({
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LOG_LEVEL: 'debug',
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PLUGIN_SERVER_MODE: PluginServerMode.ingestion_v2,
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})
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await server.start()
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expect(process.exit).not.toHaveBeenCalledWith(1)
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})
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it('should not error on startup - ingestion_v2_combined', async () => {
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server = new IngestionGeneralServer({
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LOG_LEVEL: 'debug',
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PLUGIN_SERVER_MODE: PluginServerMode.ingestion_v2_combined,
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})
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await server.start()
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expect(process.exit).not.toHaveBeenCalledWith(1)
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})
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})
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