Skip to content

hmmftg/requestCore

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

395 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

requestCore

Go Reference Release License Go Version CI Ask DeepWiki

requestCore is a Go library for handling RESTful requests with a framework-agnostic core and adapters for Gin, Fiber, and net/http. It provides a unified request/context layer, query execution abstractions, response handling, logging, tracing, and testing utilities.

It is designed to reduce boilerplate around request processing while keeping the implementation composable, interface-driven, and portable across web frameworks.


Why requestCore?

The problem

Backend services repeat the same cross-cutting work: parsing requests consistently, logging/tracing, duplicate detection, DB execution, and uniform error responses — often locked to one web framework.

What requestCore gives you

  • One request API across Gin, Fiber, and net/http via webFramework.RequestParser
  • Composable handler pipeline — parse, validate, persist, execute, respond (handlers/baseHandler.go)
  • Database abstraction — Oracle, PostgreSQL, MySQL, SQLite, MockDB (libQuery/)
  • Observability built in — OpenTelemetry, slog, Splunk adapters (libTracing/, libLogger/)
  • Incremental adoption — use only the adapter/parser layer, or the full request lifecycle

When to use it

  • Teams on multiple HTTP frameworks (or migrating between them)
  • Services needing request audit/persistence and duplicate checking
  • Projects using sqlc + database/sql or GORM with shared query/error handling
  • Platforms standardizing logging and tracing without coupling business logic to Gin/Fiber

When not to use it

  • A minimal API where stdlib or a single framework with no shared infra is enough
  • Greenfield apps that won't need request persistence, multi-DB, or cross-framework portability

Compared to alternatives

Approach Strength requestCore adds
Raw Gin / Fiber / chi Simple, fast Unified parsing, lifecycle, DB, observability across frameworks
Middleware-only stack Lightweight Request persistence, duplicate detection, query runner, handler orchestration
Rolling your own Full control Reusable, tested abstractions already in this repo

See it in action

Runnable examples: examples/


Features

  • Framework adapters

    • Gin
    • Fiber
    • net/http
    • testing support
  • Unified request context

    • normalized access to framework context
    • request metadata extraction
    • trace propagation
    • user identity handling
  • Query and DB abstraction

    • multi-database support
    • query runner abstraction
    • mock database mode for tests
  • Request lifecycle helpers

    • request initialization
    • duplicate request detection
    • request insert/update flows
    • context-aware request operations
  • Structured logging

    • slog-based logging support
    • framework-aware logger integrations
    • Splunk-oriented logging support
  • OpenTelemetry support

    • trace extraction and propagation
    • request context instrumentation
    • observability-friendly design
  • Testing utilities

    • fake/mock infrastructure
    • testing-aware context initialization
    • mock DB mode
  • Additional utilities

    • validation helpers
    • response helpers
    • error handling
    • crypto/security helpers
    • HTTP API calling utilities
    • Swagger-related support

Project goals

requestCore is intended to provide a reusable foundation for handling request-oriented backend workflows such as:

  • request parsing and normalization
  • request logging and tracing
  • request persistence and duplicate checking
  • database query execution
  • consistent response generation
  • integration with multiple HTTP frameworks

The codebase is organized around small interfaces and adapter packages rather than a single large runtime framework.


Architecture overview

The repository is centered around a thin root façade and multiple focused subpackages:

Root façade

  • requestCore.go
    • exposes the main RequestCoreModel
    • provides access to:
      • DB/query runner
      • ORM interface
      • request tools
      • response handler
      • parameter interface

Core layers

  • libContext

    • framework-aware context initialization
    • tracing extraction
    • user and framework metadata handling
  • libRequest

    • request lifecycle and persistence operations
    • initialization paths with and without logging
    • duplicate detection
    • context-aware updates
  • libQuery

    • query runner abstraction
    • DB mode handling
    • execution helpers
    • ORM-oriented query support
  • response

    • response handling
    • error response modeling
    • sanitization and web handler support
  • libParams

    • parameter modeling and loading
    • networking, logging, DB, and security parameters

Framework adapters

  • libGin
  • libFiber
  • libNetHttp
  • webFramework

Supporting packages

  • libLogger
  • libTracing
  • libError
  • libValidate
  • libCallApi
  • libCrypto
  • handlers
  • swagger
  • testingtools

Supported web frameworks

requestCore currently supports:


Requirements

  • Go 1.25+
  • A supported SQL database driver, depending on your chosen DB mode
  • Optional:
    • OpenTelemetry
    • structured logging backend
    • ORM integration

Installation

go get github.com/hmmftg/requestCore

Then import the package in your project:

import "github.com/hmmftg/requestCore"

See examples/ for runnable demos.


Quick start

Pick a runnable example:

go run ./examples/chi-hello
curl http://localhost:8080/users/42

For the full request lifecycle (DB, persistence, handlers), see examples/README.md and the handlers package.


Package map

requestCore.go

Root façade exposing the main interfaces.

libContext

Detects and normalizes framework context, including:

  • Gin
  • Fiber
  • net/http
  • testing

Also integrates tracing metadata and user identity extraction.

libRequest

Request operations such as:

  • initialization
  • duplicate checking
  • request insertion
  • updates with context
  • no-log initialization path

libQuery

Database/query layer with support for multiple DB modes, including:

  • Oracle
  • PostgreSQL
  • SQLite
  • MySQL
  • Mock DB

response

Response generation and error handling utilities.

libLogger

Logging utilities, including slog and Splunk-oriented integrations.

libTracing

OpenTelemetry-related tracing and instrumentation helpers.

libValidate

Input validation helpers.

libCallApi

Utilities for calling external APIs and handling auth/multi-call scenarios.

Remote APIs can authenticate with OAuth2 (client_credentials, refresh_token, optional password grant) or fall back to BasicAuth when grant-type is not configured.

Example param.yaml:

remoteApis:
  partner-api:
    domain: https://api.partner.com
    name: partner-api
    auth:
      grant-type: client_credentials
      auth-uri: https://auth.partner.com/oauth/token
      client-id: partner-client

Secure values (existing pattern):

  • remote-api#partner-api#client-secret
  • remote-api#partner-api#client-id
  • remote-api#partner-api#auth-uri (alias: auth-url)

libCrypto

Cryptographic and security primitives.

handlers

Reusable handler implementations for request, query, DML, pagination, recovery, and API call flows.

testingtools

Test helpers, mocks, and simulation utilities.


Observability

requestCore is observability-friendly and includes support for:

  • trace context extraction
  • OpenTelemetry integration
  • framework-aware logging
  • structured logs via slog
  • framework-specific logging adapters

This makes it suitable for services that need request-level visibility without hard-coding observability into business logic.


Database support

The query layer supports multiple DB modes, including:

  • Oracle
  • PostgreSQL
  • SQLite
  • MySQL
  • Mock DB

This makes the library suitable for heterogeneous environments and for testing without a real database.


Canonical setup: chi + net/http + sqlc + pgx/stdlib

For low-risk adoption, use sqlc in database/sql mode and connect PostgreSQL with pgx stdlib.

1) sqlc configuration

version: "2"
sql:
  - schema: "db/schema.sql"
    queries: "db/query.sql"
    engine: "postgresql"
    gen:
      go:
        package: "db"
        out: "internal/db"
        sql_package: "database/sql"

2) Open DB with pgx stdlib

import (
	"database/sql"

	_ "github.com/jackc/pgx/v5/stdlib"
)

db, err := sql.Open("pgx", "postgres://user:pass@localhost:5432/appdb?sslmode=disable")
if err != nil {
	panic(err)
}
defer db.Close()

3) Use chi route params with requestCore net/http parser

router := chi.NewRouter()
router.Get("/users/{id}", func(w http.ResponseWriter, r *http.Request) {
	parser := libChi.InitParser(r, w)
	id := parser.GetUrlParam("id")
	_ = parser.SendJSONRespBody(http.StatusOK, map[string]string{"id": id})
})

This path keeps compatibility with the current database/sql-oriented query layer and enables incremental adoption.


Testing

The repository includes a strong testing story:

  • framework-aware testing support
  • mock DB mode
  • fake API helpers
  • package-level unit tests
  • testing context support

This allows request handling, query execution, and framework adapters to be tested independently.


Optional advanced path: pgx-native sqlc mode

If you need sqlc generated code for pgx/v5 native interfaces (instead of database/sql), treat it as a separate compatibility track:

  • keep current QueryRunnerInterface (database/sql) for backward compatibility
  • add a parallel pgx-native runner contract and adapter implementation
  • maintain parity tests for both backends:
    • query behavior and error mapping
    • DML behavior
    • tracing/logging hooks

Suggested parity matrix:

Capability database/sql backend pgx-native backend
Single-row query mapping required required
Multi-row query mapping required required
DML affected rows handling required required
Duplicate / no-data error mapping required required
Request-scoped tracing attributes required required
Existing handlers compatibility required required

This minimizes risk for existing users while allowing pgx-native optimization where needed.


Design principles

requestCore appears to follow these principles:

  • composition over inheritance
  • framework portability
  • interface-driven design
  • explicit abstractions
  • observability by default
  • testability first

Repository structure

requestCore/
├── requestCore.go
├── examples/
├── libContext/
├── libRequest/
├── libQuery/
├── libParams/
├── response/
├── libLogger/
├── libTracing/
├── libValidate/
├── libCallApi/
├── libCrypto/
├── handlers/
├── swagger/
├── testingtools/
├── libGin/
├── libFiber/
├── libNetHttp/
└── webFramework/

Documentation

Additional documentation included in the repository:

  • OPENTELEMETRY_INTEGRATION.md
  • NETHTTP_IMPLEMENTATION_COMPLETE.md
  • DYNAMIC_HEADERS_GUIDE.md
  • VERSIONING.md
  • VERSIONING_SETUP.md
  • SETUP_COMPLETE.md

Articles


Contributing

Contributions are welcome.

Suggested areas for contribution:

  • framework adapters
  • documentation
  • observability enhancements
  • request lifecycle helpers
  • database integrations
  • tests and examples

License

See LICENSE for license information.


About

Library for handling restful requests

Resources

License

Stars

Watchers

Forks

Contributors