quicktype VS go-elasticsearch

I grab the response off of the network tab. Either make a structure manually or use something like QuickType

2. Quicktype

I have the library demo linked from the homepage bookmarked: https://app.quicktype.io/ I use it every time I need to go from a pile of JSON to TypeScript types or zod declarations.

This is a very intriguing problem!

Not trying to steal thunder, but quicktype (https://github.com/quicktype/quicktype) does all of this–JSON schema or TypeScript definitions to de/serializers and types in nearly 30 languages at this point. Try it here: https://app.quicktype.io

I usually use this tool: https://app.quicktype.io

Grab the json, paste it into https://app.quicktype.io/ and see if the structure matched your struct.

I usually use https://app.quicktype.io/ , they also have a VSCode plugin and then fieldaligment to make sure it's as compact as possible.

Just paste your json inside app.quicktype.io or it's vscode

P.S. This could be more efficient to generate Codable code than ChatGPT

Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

Elasticsearch client for Go RabbitMQ Go RabbitMQ Client Library Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus Echo web framework Kibana is user interface that lets you visualize your Elasticsearch Docker and docker-compose Kubernetes K8s Helm The package manager for Kubernetes

PostgeSQL as event store database Kafka as messages broker gRPC Go implementation of gRPC Jaeger open source, end-to-end distributed tracing Prometheus monitoring and alerting Grafana for to compose observability dashboards with everything from Prometheus MongoDB MongoDB database Elasticsearch Elasticsearch client for Go. Echo web framework Kibana Kibana is data visualization dashboard software for Elasticsearch Migrate for migrations

did you use "github.com/elastic/go-elasticsearch/v8" package? for your project

elastic/go-elasticsearch 4.1k Starts, Used by 414

yeah it’s part of an ongoing slapfight between elastic co and amazon, see this PR https://github.com/elastic/go-elasticsearch/pull/324 and the many similar ones for all the other client libraries