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View Code? Open in Web Editor NEWPragmatic Live Feed Aggregator aggregates all available live tables and delivers to web clients on demand in one big batch.
License: MIT License
Pragmatic Live Feed Aggregator aggregates all available live tables and delivers to web clients on demand in one big batch.
License: MIT License
RunAndListenClient: multiple goroutines across multiple runs of RunAndListenClient are reading from the βdoneβ channel, and which one will receive something from that channel β completely random. As a result, in case of a lost connection, some random goroutine will exit and its graceful shutdown functionality will be lost.
To avoid such problems, the code should be simple. Itβs hard to figure out how this method works because of multiple goroutines
and channels, thus itβs more error-prone. The easier the code, the harder a bug to find a place to hide. This functionality across all the methods and their goroutines can be done with a single context passed from the main. All the goroutines will read from ctx.Done() in select to shutdown gracefully.
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docker-compose.yml
Dockerfile
golang 1.20-alpine
alpine 3.18
.github/workflows/audit.yml
actions/checkout v3
actions/setup-go v4
ubuntu 20.04
go.mod
go 1.20
github.com/felixge/httpsnoop v1.0.3
github.com/golang/mock v1.6.0
github.com/gorilla/websocket v1.5.0
github.com/julienschmidt/httprouter v1.3.0
github.com/pusher/pusher-http-go/v5 v5.1.1
github.com/spf13/viper v1.15.0
github.com/stretchr/testify v1.8.4
github.com/swaggo/http-swagger/v2 v2.0.1
github.com/swaggo/swag v1.16.1
golang.org/x/time v0.3.0
The env
file is baked into the image. Itβs an arguable topic, but hereβs my other opinion: such an approach is ok when a configuration file changes the appβs logic, and the config itself is changed rarely. For example PostgreSQL config file. But the feed aggregatorβs config is just URLs, IDs, credentials, and other dynamic data, which do not change app logic, and are changed pretty often. With the current approach, we have to build a new image on every change in configuration, which complicates the delivery workflow.
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