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.
109 lines
4.8 KiB
TypeScript
109 lines
4.8 KiB
TypeScript
import { OnboardingComponentsContext, createInstallation } from 'scenes/onboarding/shared/OnboardingDocsContentWrapper'
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import { StepDefinition } from '../steps'
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export const getPythonSteps = (ctx: OnboardingComponentsContext): StepDefinition[] => {
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const { CodeBlock, Markdown, dedent } = ctx
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return [
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{
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title: 'Install dependencies',
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badge: 'required',
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content: (
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<>
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<Markdown>
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Insights logs uses the standard OpenTelemetry SDK. No Insights-specific packages required.
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</Markdown>
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<CodeBlock
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blocks={[
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{
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language: 'bash',
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file: 'pip',
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code: dedent`
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pip install opentelemetry-sdk opentelemetry-exporter-otlp-proto-http
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`,
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},
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]}
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/>
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</>
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),
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},
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{
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title: 'Configure the OTLP log exporter',
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badge: 'required',
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content: (
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<>
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<Markdown>Configure the OpenTelemetry log exporter to send logs to Insights:</Markdown>
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<CodeBlock
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blocks={[
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{
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language: 'python',
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file: 'instrumentation.py',
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code: dedent`
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from opentelemetry._logs import set_logger_provider
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from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
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from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
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from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
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from opentelemetry.sdk.resources import Resource
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import logging
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resource = Resource(attributes={"service.name": "my-app"})
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logger_provider = LoggerProvider(resource=resource)
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set_logger_provider(logger_provider)
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exporter = OTLPLogExporter(
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endpoint="<ph_client_api_host>/otlp/v1/logs",
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headers={"Authorization": "Bearer <ph_project_token>"},
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)
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logger_provider.add_log_record_processor(BatchLogRecordProcessor(exporter))
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# Bridge standard library logging to OTel
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handler = LoggingHandler(logger_provider=logger_provider)
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logging.getLogger().addHandler(handler)
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logging.getLogger().setLevel(logging.INFO)
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`,
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},
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]}
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/>
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</>
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),
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},
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{
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title: 'Send a log',
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badge: 'required',
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content: (
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<>
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<Markdown>
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Once configured, use the standard Python `logging` module. Logs are forwarded automatically:
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</Markdown>
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<CodeBlock
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blocks={[
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{
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language: 'python',
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file: 'app.py',
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code: dedent`
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import logging
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from instrumentation import * # noqa: F401 – sets up the handler
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logger = logging.getLogger(__name__)
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logger.info("Request processed", extra={"request_id": "req_abc", "duration_ms": 42})
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logger.warning("High memory usage", extra={"usage_mb": 1024})
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logger.error("Database connection failed", extra={"host": "db.example.com"})
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`,
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},
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]}
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/>
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<Markdown>
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Logs appear in Insights within a few seconds. Use the [Logs page](https://app.hanzo.ai/logs)
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to search and filter by service name, severity, or any attribute you attach.
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</Markdown>
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</>
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),
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},
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]
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}
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export const PythonInstallation = createInstallation(getPythonSteps)
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