import ExternalLink from 'sentry/components/links/externalLink'; import {StepType} from 'sentry/components/onboarding/gettingStartedDoc/step'; import { type Docs, DocsPageLocation, type DocsParams, type OnboardingConfig, } from 'sentry/components/onboarding/gettingStartedDoc/types'; import {getPythonMetricsOnboarding} from 'sentry/components/onboarding/gettingStartedDoc/utils/metricsOnboarding'; import replayOnboardingJsLoader from 'sentry/gettingStartedDocs/javascript/jsLoader/jsLoader'; import { AlternativeConfiguration, crashReportOnboardingPython, } from 'sentry/gettingStartedDocs/python/python'; import {t, tct} from 'sentry/locale'; type Params = DocsParams; const getInstallSnippet = () => `pip install --upgrade 'sentry-sdk[starlette]'`; const getSdkSetupSnippet = (params: Params) => ` from starlette.applications import Starlette import sentry_sdk sentry_sdk.init( dsn="${params.dsn.public}",${ params.isPerformanceSelected ? ` # Set traces_sample_rate to 1.0 to capture 100% # of transactions for tracing. traces_sample_rate=1.0,` : '' }${ params.isProfilingSelected && params.profilingOptions?.defaultProfilingMode !== 'continuous' ? ` # Set profiles_sample_rate to 1.0 to profile 100% # of sampled transactions. # We recommend adjusting this value in production. profiles_sample_rate=1.0,` : params.isProfilingSelected && params.profilingOptions?.defaultProfilingMode === 'continuous' ? ` _experiments={ # Set continuous_profiling_auto_start to True # to automatically start the profiler on when # possible. "continuous_profiling_auto_start": True, },` : '' } ) `; const onboarding: OnboardingConfig = { introduction: () => tct('The Starlette integration adds support for the Starlette Framework.', { link: , }), install: (params: Params) => [ { type: StepType.INSTALL, description: tct( 'Install [code:sentry-sdk] from PyPI with the [code:starlette] extra:', { code: , } ), configurations: [ { description: params.docsLocation === DocsPageLocation.PROFILING_PAGE ? tct( 'You need a minimum version [code:1.18.0] of the [code:sentry-python] SDK for the profiling feature.', { code: , } ) : undefined, language: 'bash', code: getInstallSnippet(), }, ], }, ], configure: (params: Params) => [ { type: StepType.CONFIGURE, description: tct( 'If you have the [codeStarlette:starlette] package in your dependencies, the Starlette integration will be enabled automatically when you initialize the Sentry SDK. Initialize the Sentry SDK before your app has been initialized:', { codeStarlette: , } ), configurations: [ { language: 'python', code: ` ${getSdkSetupSnippet(params)} app = Starlette(routes=[...]) `, }, ], additionalInfo: , }, ], verify: (params: Params) => [ { type: StepType.VERIFY, description: t( 'You can easily verify your Sentry installation by creating a route that triggers an error:' ), configurations: [ { language: 'python', code: ` from starlette.routing import Route ${getSdkSetupSnippet(params)} async def trigger_error(request): division_by_zero = 1 / 0 app = Starlette(routes=[ Route("/sentry-debug", trigger_error), ]) `, }, ], additionalInfo: (

{tct( 'When you point your browser to [link:http://localhost:8000/sentry-debug/] a transaction in the Performance section of Sentry will be created.', { link: , } )}

{t( 'Additionally, an error event will be sent to Sentry and will be connected to the transaction.' )}

{t('It takes a couple of moments for the data to appear in Sentry.')}

), }, ], nextSteps: () => [], }; const docs: Docs = { onboarding, replayOnboardingJsLoader, customMetricsOnboarding: getPythonMetricsOnboarding({ installSnippet: getInstallSnippet(), }), crashReportOnboarding: crashReportOnboardingPython, }; export default docs;