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Python SDK for in-process load execution, traffic correlation, and reporting.

Project description

LoadStrike SDK for Python

LoadStrike is a developer-first load testing SDK for Python services, jobs, and automated test suites. Use it to describe real workflows in Python, execute them in-process, and collect structured reports from the same codebase that owns the system under test.

What This SDK Is For

  • Author scenario-based load tests in Python.
  • Generate safe starter scenarios from captured HAR, OpenTelemetry trace JSON, browser recordings, or message pairs with Trace-to-test Autopilot.
  • Model transaction flows across HTTP and event-driven systems.
  • Apply load simulations, thresholds, and custom metrics during execution.
  • Generate local reports and, on Business and Enterprise, forward results to supported reporting sinks.

Built-in transport coverage includes HTTP, Kafka, RabbitMQ, NATS, Redis Streams, Azure Event Hubs, Push Diffusion, and delegate-based custom streams. Local report output supports HTML, Markdown, TXT, and CSV, and Business and Enterprise can publish to InfluxDB, TimescaleDB, Grafana Loki, Datadog, Splunk HEC, and OpenTelemetry Collector.

Requirements

  • Python 3.9 or later

Install

pip install loadstrike

Quick Start

from loadstrike_sdk import (
    LoadStrikeResponse,
    LoadStrikeRunner,
    LoadStrikeScenario,
    LoadStrikeSimulation,
    LoadStrikeStep,
)


def run_orders(context):
    return LoadStrikeStep.run(
        "publish-order",
        context,
        lambda: LoadStrikeResponse.ok("200"),
    ).as_reply()


scenario = (
    LoadStrikeScenario.create("orders", run_orders)
    .with_load_simulations(LoadStrikeSimulation.inject(10, 1, 20))
)

result = (
    LoadStrikeRunner.register_scenarios(scenario)
    .with_runner_key("rkl_your_runner_key")
    .run()
)

run() returns the detailed run result, including generated report files, scenario statistics, metrics, and sink status.

Trace-To-Test Autopilot

Use LoadStrikeAutopilot.generate(...) to infer a starter plan from a captured artifact. Check result.Readiness and result.ReadinessFailures first; call result.build_scenario() only when it is LoadStrikeAutopilotReadiness.Ready, then execute the scenario through the normal runner with a valid RunnerKey.

Use SecretBindings to map redaction locations such as header:Authorization or body:$.client_secret to environment variables, TrackingSelector when the selector cannot be inferred, and EndpointBindings, AllowedReplayHosts, or BaseUrlRewrite when a replay target must be bound. Secret values are resolved when the generated scenario runs; they are not written into the generated plan. Any gate satisfied by user setup is omitted from ReadinessFailures.

Runner Keys

Runnable workloads require a RunnerKey. Supply it with .with_runner_key(...) or through your application configuration before calling run().

Documentation

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