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Version: 2.0.0

Sample Movie Management App (Sanic + Mongo)

Introduction

This application is a simple movie management API built using Python's Sanic framework and MongoDB for data storage. It allows you to perform basic CRUD (Create, Read, Update, Delete) operations on Movie records.

🛠️ Platform-Specific Requirements for Keploy

Below is a table summarizing the tools needed for both native and Docker installations of Keploy on MacOS, Windows, and Linux:

Operating SystemWithout DockerDocker InstallationPrerequisites
MacOS MacOSNot SupportedSupported- Docker Desktop version must be 4.25.2 or above
- For running Keploy on MacOS natively, refer to Guide
Windows WindowsSupportedSupported- Use WSL wsl --install
- Windows 10 version 2004 and higher (Build 19041 and higher) or Windows 11
Linux LinuxSupportedSupportedLinux kernel 5.15 or higher

On MacOS and Windows, additional tools are required for Keploy due to the lack of native eBPF support.

Keploy Installation

Quick Installation Using CLI

Let's get started by setting up the Keploy alias with this command:

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

You should see something like this:

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▓█████████▌▓▓ ██▓█▄ ▓█▄▓▓ ▐█▌ ██ ▓█ █▌ ██ █▌ █▓
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Keploy CLI

Available Commands:
example Example to record and test via keploy
config --generate generate the keploy configuration file
record record the keploy testcases from the API calls
test run the recorded testcases and execute assertions
update Update Keploy

Flags:
--debug Run in debug mode
-h, --help help for keploy
-v, --version version for keploy

Use "keploy [command] --help" for more information about a command.

🎉 Wohoo! You are all set to use Keploy.

Other Installation Methods

Install using Docker

Downloading and running Keploy in Docker

On macOS

Note : Keploy is not supported natively on MacOS, so you can follow the below method to run with docker

  1. Open up a terminal window.

  2. Create a bridge network in Docker using the following docker network create command:

docker network create keploy-network
  1. Run the following command to start the Keploy container:
alias keploy="docker run --name keploy-v2 -p 16789:16789 --network keploy-network --privileged --pid=host -v $(pwd):$(pwd) -w $(pwd) -v /sys/fs/cgroup:/sys/fs/cgroup -v /sys/kernel/debug:/sys/kernel/debug -v /sys/fs/bpf:/sys/fs/bpf -v /var/run/docker.sock:/var/run/docker.sock --rm ghcr.io/keploy/keploy"
Downloading and running Keploy in Native

Downloading and running Keploy in Native

Prequisites:

  • Linux Kernel version 5.15 or higher
  • Run uname -a to verify the system architecture.
  • In case of Windows, use WSL with Ubuntu 20.04 LTS or higher.
Downloading and running Keploy On WSL/Linux AMD

On WSL/Linux AMD

  1. Open the terminal Session.
  2. Run the following command to download and install Keploy:
curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz --overwrite -C /tmp
sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin/keploy

On WSL/Linux ARM

  1. Open the terminal Session
  2. Run the following command to download and install Keploy:
curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_arm64.tar.gz" | tar xz --overwrite -C /tmp
sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin/keploy

Note: Keploy is not supported on MacOS natively.

Setting up the Docker Desktop for WSL 2

  1. Install Docker Desktop for Windows from here.

When developing on Windows with Docker Desktop and WSL 2, it's crucial to configure Docker Desktop to allow WSL 2 distributions to access the Docker daemon. This setup enables seamless integration between your Windows environment, WSL 2 Linux distros, and Docker.

By default, Docker Desktop may not be configured to work with all WSL 2 distros out of the box. Proper configuration ensures that you can run Docker commands from within your WSL 2 environment, allowing for a more native Linux development experience while leveraging the power of Windows.

This setup is essential for Keploy to function correctly in a WSL 2 environment, as it needs to interact with the Docker daemon to manage containers and networks effectively. For detailed instructions on how to configure Docker Desktop for WSL 2, please refer to the official Docker documentation.

With Arkade

With Arkade

  1. Installing Arkade
# Note: you can also run without `sudo` and move the binary yourself
curl -sLS https://get.arkade.dev | sudo sh

arkade --help
ark --help # a handy alias

# Windows users with Git Bash
curl -sLS https://get.arkade.dev | sh
  1. Install Keploy
arkade get keploy

Or you can also download specific version of Keploy using the following command:

arkade get keploy@2.2.0-alpha23

Get Started! 🎬

Clone the app 🧪

git clone https://github.com/keploy/samples-python.git && cd samples-python/sanic-mongo

Download the requirements.txt file and DB setup

Head to the folder of the application and run

pip3 install -r requirements.txt

Open a different terminal and setup your MongoDB through docker

sudo docker network create keploy-network
docker run -p 27017:27017 -d --rm --name mongoDB --net keploy-network mongo

Lights, Camera, Record! 🎥

Capture the test-cases-

keploy record -c "python3 server.py"

You should be able to see this in your terminal

Sample Keploy record sanic mongo

🔥Make some API calls. Postman, Hoppscotch or even curl - take your pick!

Let's make URLs short and sweet:

Generate testcases

To generate testcases we just need to make some API calls.

  1. Make a POST request:
  curl -X "POST" "http://127.0.0.1:8000/add_movie" \
-H 'Accept: application/json' \
-H 'Content-Type: application/json; charset=utf-8' \
-d '{
"name": "Whiplash"
}'
  1. Make a GET request:
  curl -X "GET" "http://127.0.0.1:8000/movies" \
-H 'Accept: application/json' \
-H 'Content-Type: application/json; charset=utf-8'
  1. Make a DELETE request:
  curl -X "DELETE" "http://127.0.0.1:8000/movies" \
-H 'Accept: application/json' \
-H 'Content-Type: application/json; charset=utf-8'

And once you are done, you can stop the recording and give yourself a pat on the back! With that simple spell, you've conjured up a test case with a mock! Explore the keploy directory and you'll discover your handiwork in tests directory and mocks.yml.

This is an example of what your mocks would look like

version: api.keploy.io/v1beta1
kind: Mongo
name: mock-0
spec:
metadata:
operation: '{ OpQuery flags: [], fullCollectionName: admin.$cmd, numberToSkip: 0, numberToReturn: -1, query: {"ismaster": {"$numberInt":"1"},"helloOk": true,"client": {"driver": {"name": "PyMongo|Motor","version": "4.6.3|3.4.0"},"os": {"type": "Linux","name": "Linux","architecture": "x86_64","version": "5.15.146.1-microsoft-standard-WSL2"},"platform": "CPython 3.10.12.final.0|asyncio"}}, returnFieldsSelector: }'
type: config
requests:
- header:
length: 303
requestId: 1804289383
responseTo: 0
Opcode: 2004
message:
flags: 0
collection_name: admin.$cmd
number_to_skip: 0
number_to_return: -1
query: '{"ismaster":{"$numberInt":"1"},"helloOk":true,"client":{"driver":{"name":"PyMongo|Motor","version":"4.6.3|3.4.0"},"os":{"type":"Linux","name":"Linux","architecture":"x86_64","version":"5.15.146.1-microsoft-standard-WSL2"},"platform":"CPython 3.10.12.final.0|asyncio"}}'
return_fields_selector: ""
responses:
- header:
length: 329
requestId: 13
responseTo: 1804289383
Opcode: 1
message:
response_flags: 8
cursor_id: 0
starting_from: 0
number_returned: 1
documents:
- '{"helloOk":true,"ismaster":true,"topologyVersion":{"processId":{"$oid":"667b1d2066b0c1d16885b016"},"counter":{"$numberLong":"0"}},"maxBsonObjectSize":{"$numberInt":"16777216"},"maxMessageSizeBytes":{"$numberInt":"48000000"},"maxWriteBatchSize":{"$numberInt":"100000"},"localTime":{"$date":{"$numberLong":"1719344783026"}},"logicalSessionTimeoutMinutes":{"$numberInt":"30"},"connectionId":{"$numberInt":"4"},"minWireVersion":{"$numberInt":"0"},"maxWireVersion":{"$numberInt":"21"},"readOnly":false,"ok":{"$numberDouble":"1.0"}}'
read_delay: 560917
created: 1719344783
reqTimestampMock: 2024-06-26T01:16:23.025984506+05:30
resTimestampMock: 2024-06-26T01:16:23.026710262+05:30

Time to put things to the test 🧪:

 keploy test -c "python server.py"

This is how your terminal would look like :

Sample Keploy Test Sanic Mongo

You can experiment with different API calls, modify the database response in mocks.yml, or adjust the request or response in test-x.yml. Then, run the tests again to see the change in response