Usecase Overview

• Business Goal: Provide one-click sandbox deployment and dataset loading so QA engineers can complete end-to-end regression within five minutes, cover ≥95% critical cases, and produce traceable reports.
• Success Metrics: Deployment + dataset loading ≤5 minutes; test pass rate ≥95%; masking failure block rate 100%; audit log completeness ≥99%.
• Scenario Alignment: Supports Stage 2 of the master scenario to ensure consistent data assets, performance monitoring, and compliance safeguards in sandbox validation.

A standardised sandbox suite allows engineering teams to mirror production scenarios quickly, reduce release risk, and build performance baselines.

Context & Assumptions

• Prerequisites
  • Feature flags plugin-sandbox-suite and sandbox-dataset-v2 are enabled.
  • Sandbox tenant has sufficient quota and the QA account holds sandbox:execute.
  • Dataset service maintains the latest masked version and passes compliance checks.
  • Monitoring, logging, and audit systems are available.
• Inputs / Outputs
  • Inputs: Test plan ID, target plugin version, dataset version, performance thresholds.
  • Outputs: Deployment status, test report, performance metrics, audit links.
• Boundaries
  • Excludes local hot-reload or production load testing.
  • Ticket automation is handled by the error-diagnostics scenario.

Solution Blueprint

Architecture Breakdown

Layer	Key Module	Responsibility	Code Entry
Deployment orchestration	internal/sandbox/deployer/pipeline.go	Allocate resources, deploy plugin, manage lifecycle	services/sandbox/deployer
Dataset management	internal/sandbox/dataset/loader.go	Sync dataset, mask data, validate versions	services/sandbox/dataset
Test execution	internal/sandbox/testsuite/runner.go	Run scripts, collect results, push metrics	services/sandbox/testsuite
Audit & compliance	internal/compliance/audit/log_writer.go	Record data access, sensitive fields, compliance reports	services/compliance/audit
CLI / Console	packages/cli/src/commands/plugin/sandbox.ts	Launch sandbox jobs, view reports, export logs	packages/cli

Flow & Sequence

1. Step 1 – Sandbox job initialisation: Validate feature flags, quota, plugin version, and test plan.
2. Step 2 – Dataset loading & masking: Sync target dataset version, mask data, and produce validation report.
3. Step 3 – Automated regression execution: Deploy plugin, run scripts, collect API and performance metrics.
4. Step 4 – Reporting & auditing: Generate structured reports, persist audit logs, provide download links, and support rollback/retry on failure.

Contracts & Interfaces

• Inbound APIs / Events
  • POST /internal/sandbox/deploy — Start deployment and tests.
  • POST /internal/sandbox/dataset/load — Sync the specified dataset version.
• Outbound Calls
  • POST /internal/monitoring/metrics — Push performance metrics.
  • POST /internal/compliance/audit — Write audit records.
  • EVENT sandbox.test.completed — Publish results and report links.
• Configs / Scripts
  • config/plugins/debug/data_suite.yaml — Dataset/script mapping and thresholds.
  • scripts/workflows/sandbox-regression.mjs — Automated execution & validation script.

Implementation Checklist

Item	Description	Status	Owner
Deployment orchestration	Support multi-tenant queuing, quota checks, rollback	[ ]	Matrix Ops
Data masking	Extend template fields, detect unlabelled sensitive data	[ ]	Grace Lin
Test scripts	Maintain regression suites and performance baselines	[ ]	Michael Hu
Reporting	Produce structured reports with monitoring & audit links	[ ]	Matrix Ops
CLI / Console	Show progress, download reports, allow retries	[ ]	Michael Hu

Testing Strategy

• Unit: Deployment orchestration, masking validation, script scheduler, audit writer.
• Integration: Run scripts/workflows/sandbox-regression.mjs for normal and masking-failure scenarios.
• End-to-End: Replay meta usecases B-1/B-2 to confirm thresholds and audit logs.
• Non-functional: Execute 10 concurrent sandbox jobs, handle over-quota queuing, dataset version rollback.

Observability & Ops

• Metrics: sandbox.deploy.duration_ms, sandbox.dataset.load_failure_total, sandbox.test.pass_rate, sandbox.audit.records_total.
• Logs: Capture job ID, tenant, dataset version, outcomes, exceptions; mask sensitive values.
• Alerts: Deployment failure rate >5% or masking failure triggers P1; pass rate below threshold creates tickets.
• Dashboards: Sandbox Regression Dashboard, audit explorer, workflow-metrics.mjs.

Rollback & Failure Handling

• Rollback: Stop job, release resources, roll back dataset; provide sandbox resume for rerun.
• Remediation: Export failure report, notify data owners, allow manual data patching.
• Data Repair: Run scripts/workflows/sandbox-reconcile.mjs to reconcile jobs and audit logs.

Follow-ups & Risks

Risk / Item	Impact	Mitigation	Owner	ETA
High maintenance for multi-language scripts	Test efficiency	Standardise templates & sample repos	Michael Hu	2025-12-12
Masking coverage gaps	Compliance risk	Periodic field audits & automated detection	Grace Lin	2025-12-20

References & Links

• Scenario: docs/scenarios/plugin-lifecycle/SCN-DEV-PLUGIN-SANDBOX-VALIDATION-001.md
• Master scenario: docs/scenarios/plugin-lifecycle/SCN-DEV-PLUGIN-DEBUG-001.md
• Background: docs/meta/scenarios/powerx/plugin-ecosystem/plugin-lifecycle/plugin-dev-and-debug/primary.md
• Standards: docs/standards/powerx-plugin/integration/04_security_and_compliance/Plugin_Security_Checklist.md