This is a sample application that uses the gorilla/mux router and Postgres for database operations. The application is a simple product catalog that allows you to add products, fetch all products, and fetch a single product.

git clone https://github.com/keploy/samples-go.git && cd samples-go/mux-sql
go mod download

Install keploy via one-click:-

curl --silent -O -L https://keploy.io/install.sh && source install.sh

Using the docker-compose file we will start our postgres instance:-

# Start Postgres
docker-compose up -d postgres

Since we have setup our sample-app natively set the host to localhost on line 10.

Now, we will create the binary of our application:-

go build -cover

Once we have our binary file ready,this command will start the recording of API calls using ebpf:-

sudo -E keploy record -c "./test-app-product-catelog"

Make API Calls using Hoppscotch, Postman or cURL command. Keploy with capture those calls to generate the test-suites containing testcases and data mocks.

To genereate testcases we just need to make some API calls. You can use Postman, Hoppscotch, or simply curl

curl --request POST \
  --url http://localhost:8010/product \
  --header 'content-type: application/json' \
  --data '{
    "name":"Bubbles", 
    "price": 123
}'

this will return the response.

{
    "id": 1,
    "name": "Bubbles",
    "price": 123
}

curl --request GET \
  --url http://localhost:8010/products

we will get output:

[{"id":1,"name":"Bubbles","price":123},{"id":2,"name":"Bubbles","price":123}]

curl --request GET \
  --url http://localhost:8010/product/1

we will get output:-
```json
{"id":1,"name":"Bubbles","price":123}

Now, since these API calls were captured as editable testcases and written to keploy/tests folder. The keploy directory would also have mocks files that contains all the outputs of postgres operations.

Now let's run the test mode (in the mux-sql directory, not the Keploy directory).

sudo -E keploy test -c "./test-app-product-catelog" --delay 10 --goCoverage

Once done, you can see the Test Runs on the Keploy server, like this:

So no need to setup fake database/apis like Postgres or write mocks for them. Keploy automatically mocks them and, The application thinks it's talking to Postgres 😄

With the three API calls that we made, we got around 55.6% of coverage