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acme/shopwave-apipublic

Sample e-commerce backend used to demonstrate GitOnBoard onboarding analysis. Demo data only.

TypeScript 0 stars

Codebase structure

Detected layout of files and folders in the approved scope, so you can see how the repository is organized at a glance.

  • .github
    • workflows
      • ci.yml
  • docs
    • CONTRIBUTING.md
  • src
    • db
      • schema.ts
    • lib
      • cache.ts
    • routes
      • auth.ts
      • checkout.ts
    • services
      • auth
        • session.ts
      • billing
        • stripe.ts
  • drizzle.config.ts
  • package.json
  • README.md

Application flow

End-to-end flow of the application: the request lifecycle (which components are invoked in order) and how data is created, transformed, stored, and retrieved.

Request flow

How a user action moves through the system and returns a response — the request lifecycle and call chain, from incoming request to completed response.

  1. 1
    Clientclient (browser)

    User submits a checkout request from the UI.

  2. 2
    Route handlersrc/routes/checkout.ts

    Fastify matches the route and runs auth/validation middleware.

  3. 3
    AuthServicesrc/services/auth/session.ts

    Validates the session before the request proceeds.

  4. 4
    BillingServicesrc/services/billing/stripe.ts

    Creates the Stripe charge and applies business logic.

  5. 5
    Data accesssrc/db/schema.ts

    Persists the order via the Drizzle schema.

  6. 6
    Responsesrc/routes/checkout.ts

    Serialized result returns up the call chain to the client.

Data flow

How data is created, transformed, stored, and retrieved as it moves between layers of the application.

  1. 1
    Inputsrc/routes/checkout.ts

    Request payload is parsed and validated into a typed object.

  2. 2
    Transformsrc/services/billing/stripe.ts

    Service layer maps the payload into domain entities (Order, Payment).

  3. 3
    Storesrc/db/schema.ts

    Entities are written to PostgreSQL through the ORM schema.

  4. 4
    Cachesrc/lib/cache.ts

    Hot lookups are cached to reduce repeated reads.

  5. 5
    Retrievesrc/db/schema.ts

    Reads are served from cache or database and shaped for the client.

Objects & connections

Key objects detected in the repository and how they relate to one another, so you can trace data and control flow.

  • Userentitysrc/db/schema.ts

    Account record; owns sessions and orders.

    Connects toSessionOrder
  • Sessionentitysrc/db/schema.ts

    Server-side auth session tied to a User.

    Connects toUser
  • Orderentitysrc/db/schema.ts

    Checkout order referencing a User and a Payment.

    Connects toUserPayment
  • Paymententitysrc/db/schema.ts

    Stripe charge record linked to an Order.

    Connects toOrder

Showing 1–4 of 8

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Programming paradigms

Paradigms detected in the codebase, each traceable to evidence with a confidence level.

  • Object-oriented (service classes)high confidence
    paradigm

    Service modules encapsulate state and behavior in classes with methods.

    src/services/billing/stripe.ts

  • Functional programminghigh confidence
    paradigm

    Pure helper functions and array transforms (map/filter/reduce) used for data shaping.

    src/lib/cache.ts

Design patterns detected

Architectural and design patterns found in the codebase, each traceable to evidence with a confidence level.

  • Layered architecturehigh confidence
    design pattern

    Clear route → service → data-access separation across the codebase.

    src/routes/checkout.ts

  • Repository / data-access patternmedium confidence
    design pattern

    Database access is centralized through the Drizzle schema and query helpers.

    src/db/schema.ts

  • Dependency injectionmedium confidence
    design pattern

    Services receive clients (db, Stripe, cache) as constructor/param dependencies.

    src/services/auth/session.ts

  • Middleware pipelinehigh confidence
    design pattern

    Fastify request lifecycle uses composable middleware/hooks.

    src/routes/auth.ts

Onboarding guide

AI-generated insights. Each carries evidence, a confidence level, and a detected-fact vs. inferred-recommendation label. Missing information is reported honestly as "not detected".

Architecture Generated insightDetected facthigh confidence

Layered Fastify service with route → service → data separation

Routes in src/routes delegate to service modules in src/services, which access the database through the Drizzle schema in src/db/schema.ts. This is a detected structural pattern, not a claim about runtime behavior.

Evidence sources

  • src/routes/checkout.ts
  • src/services/billing/stripe.ts
  • src/db/schema.ts
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Authentication Generated insightDetected facthigh confidence

Authentication is session-based, handled in src/services/auth/session.ts

Login and session validation live in src/services/auth/session.ts and are wired through src/routes/auth.ts. Tokens are stored server-side per the session module.

Evidence sources

  • src/services/auth/session.ts
  • src/routes/auth.ts
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Payments Generated insightDetected facthigh confidence

Payments are handled by the Stripe billing service

Charge creation and webhook handling are implemented in src/services/billing/stripe.ts and referenced from the checkout route.

Evidence sources

  • src/services/billing/stripe.ts
  • src/routes/checkout.ts
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Local setup Generated insightInferred recommendationmedium confidence

Recommended: install deps, provision Postgres, run migrations, start dev

Based on the detected scripts and config, a likely local setup is: (1) npm install, (2) start Postgres, (3) run Drizzle migrations, (4) npm run dev. Verify against README before relying on these steps.

Evidence sources

  • package.json
  • README.md
  • drizzle.config.ts
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First contribution Generated insightInferred recommendationmedium confidence

Good first issue candidate: add rate limiting to checkout route

An open issue requests rate limiting on checkout. It is scoped, touches one route, and has an existing cache utility to build on. This is a suggested starting point, not an assignment.

Evidence sources

  • issues/142
  • src/lib/cache.ts
  • docs/CONTRIBUTING.md
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Deployment Generated insightDetected facthigh confidence

Deployment target not detected

No Dockerfile, deploy workflow, or hosting config was found in the approved scope. Deployment steps could not be determined and are reported as not detected rather than guessed.

Evidence sources

  • .github/workflows/ci.yml
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Contributors

People who have committed to this repository, with links to their provider profiles. Ordered by contribution count.

Showing 1–6 of 14

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Ask about this repository

Answers are grounded in retrieved repository context and cite their sources. In the demo, questions are matched against a seed evaluation set.

Workspace impact

Product outcomes for this scan. Time-saved is a labelled estimate with a transparent formula — not a measured result.

3m 42s

Submission → completed guide

Time from repo submission to finished onboarding guide

42

Repository sources analyzed

Files, configs, docs, issues, and workflows in scope

4

Setup instructions detected

Distinct setup steps traced to sources

2

Suggested contribution paths

Scoped starting points with evidence

1

Unresolved dependency advisories

From dependency parsing

5

Onboarding resources discovered

Docs, workflows, and contribution guides

2.5 hrs

Estimated onboarding time saved

Estimate = setup steps×12m + architecture sources×20m + contribution resources×15m. This is an estimate, not a measured outcome.

Estimate

AI quality dashboard

Aggregated from stored feedback and scan telemetry across the workspace.

86%

Helpful-response rate

0.0%

Unsupported-claim rate

31%

Low-confidence insight rate

2

Scan failures (30d)

3m 51s

Average scan duration