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Version: 2.0.0

Introduction

๐Ÿช„ Dive into the world of Student CRUD Apps and see how seamlessly Keploy integrated with Flask and MongoDB. Buckle up, it's gonna be a fun ride! ๐ŸŽข

Pre-Requisite ๐Ÿ› ๏ธ

  • Install WSL (wsl --install) for Windows Windows.
  • Install Colima( brew install colima && colima start ) for MacOS MacOs.

Get Started! ๐ŸŽฌ

Setup the MongoDB Database ๐Ÿ“ฆ

Create a docker network, run -

docker network create backend

Start the MongoDB instance-

docker run -p 27017:27017 -d --network backend --name mongo mongo

Clone a sample URL shortener app ๐Ÿงช

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

Installation ๐Ÿ“ฅ

Depending on your OS, choose your adventure:

  • Linux Linux or Windows Windows

    Alright, let's equip ourselves with the latest Keploy binary:

    curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp
    
    sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy
    

    If everything goes right, your screen should look a bit like this:

    Test Case Generator

    Moving on...

    Run App with Docker Container Docker

    Add alias for Keploy:

    alias keploy='sudo docker run --pull always --name keploy-v2 -p 16789:16789 --privileged --pid=host -it -v "$(pwd)":/files -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'
    

    Lights, Camera, Record! ๐ŸŽฅ

    Build the app image:

    docker build -t flask-app:1.0 .
    

    Capture the test-cases-

    keploy record -c "docker run -p 6000:6000 --name flask-app --network backend flask-app:1.0"
    

    ๐Ÿ”ฅMake 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 PUT -H "Content-Type: application/json" -d '{"name": "Jane Smith", "age": 21}' http://localhost:6000/students/12345
    

    2. Make a GET request

    curl http://localhost:6000/students
    

    3. Make a PUT request

    curl -X PUT -H "Content-Type: application/json" -d '{"name": "Jane Smith", "age": 21}' http://localhost:6000/students/12345
    

    4. Make a GET request

    curl http://localhost:6000/students/12345
    

    5. Make a DELETE request

    curl -X DELETE http://localhost:6000/students/12345
    

    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 test-1.yml and mocks.yml.

    version: api.keploy.io/v1beta2
    kind: Http
    name: test-1
    spec:
      metadata: {}
      req:
        method: POST
        proto_major: 1
        proto_minor: 1
        url: http://localhost:6000/students
        header:
          Accept: "*/*"
          Content-Length: "56"
          Content-Type: application/json
          Host: localhost:6000
          User-Agent: curl/7.81.0
        body: '{"student_id": "12344", "name": "John Doeww", "age": 10}'
        body_type: ""
        timestamp: 2023-11-13T13:02:32.241333562Z
      resp:
        status_code: 200
        header:
          Content-Length: "48"
          Content-Type: application/json
          Date: Mon, 13 Nov 2023 13:02:32 GMT
          Server: Werkzeug/2.2.2 Python/3.9.18
        body: |
          {
            "message": "Student created successfully"
          }
        body_type: ""
        status_message: ""
        proto_major: 0
        proto_minor: 0
        timestamp: 2023-11-13T13:02:34.752123715Z
      objects: []
      assertions:
        noise:
          - header.Date
      created: 1699880554
    curl: |-
      curl --request POST \
        --url http://localhost:6000/students \
        --header 'Host: localhost:6000' \
        --header 'User-Agent: curl/7.81.0' \
        --header 'Accept: */*' \
        --header 'Content-Type: application/json' \
        --data '{"student_id": "12344", "name": "John Doeww", "age": 10}'
    

    This is how mocks.yml generated would look like:-

    version: api.keploy.io/v1beta2
    kind: Mongo
    name: mocks
    spec:
      metadata:
        operation: '{ OpMsg flags: 0, sections: [{ SectionSingle msg: {"find":"students","filter":{"student_id":"12345"},"projection":{"_id":{"$numberInt":"0"}},"limit":{"$numberInt":"1"},"singleBatch":true,"lsid":{"id":{"$binary":{"base64":"vPKsEFRdTLytlbnyVimqIA==","subType":"04"}}},"$db":"studentsdb"} }], checksum: 0 }'
      requests:
        - header:
            length: 187
            requestId: 2127584089
            responseTo: 0
            Opcode: 2013
          message:
            flagBits: 0
            sections:
              - '{ SectionSingle msg: {"find":"students","filter":{"student_id":"12345"},"projection":{"_id":{"$numberInt":"0"}},"limit":{"$numberInt":"1"},"singleBatch":true,"lsid":{"id":{"$binary":{"base64":"vPKsEFRdTLytlbnyVimqIA==","subType":"04"}}},"$db":"studentsdb"} }'
            checksum: 0
          read_delay: 3469848802
      responses:
        - header:
            length: 166
            requestId: 154
            responseTo: 2127584089
            Opcode: 2013
          message:
            flagBits: 0
            sections:
              - '{ SectionSingle msg: {"cursor":{"firstBatch":[{"student_id":"12345","name":"John Doe","age":{"$numberInt":"20"}}],"id":{"$numberLong":"0"},"ns":"studentsdb.students"},"ok":{"$numberDouble":"1.0"}} }'
            checksum: 0
          read_delay: 869555
      created: 1699880576
      reqTimestampMock: 2023-11-13T13:02:56.385067848Z
      resTimestampMock: 2023-11-13T13:02:56.386374941Z
    

    Want to see if everything works as expected?

    Run Tests

    Time to put things to the test ๐Ÿงช

    keploy test -c "sudo docker run -p 6000:6000 --rm --network backend --name flask-app flask-app:1.0" --delay 10
    

    The --delay flag? Oh, that's just giving your app a little breather (in seconds) before the test cases come knocking.

    Final thoughts? Dive deeper! Try different API calls, tweak the DB response in the mocks.yml, or fiddle with the request or response in test-x.yml. Run the tests again and see the magic unfold!โœจ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ปโœจ

    Wrapping it up ๐ŸŽ‰

    Congrats on the journey so far! You've seen Keploy's power, flexed your coding muscles, and had a bit of fun too! Now, go out there and keep exploring, innovating, and creating! Remember, with the right tools and a sprinkle of fun, anything's possible.๐Ÿ˜Š๐Ÿš€

    Happy coding! โœจ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ปโœจ


    Run App on ๐Ÿง Linux

    We'll be running our sample application right on Linux, but just to make things a tad more thrilling, we'll have the database (PostgreSQL) chill on Docker. Ready? Let's get the party started!๐ŸŽ‰

    ๐Ÿ“ผ Roll the Tape - Recording Time!

    In app.py, replace the MongoDB connection URL with - mongodb://0.0.0.0:27017/

    Ready, set, record! Here's how:

    keploy record -c "python3 app.py"
    

    Keep an eye out for the -c flag! It's the command charm to run the app.

    Alright, magician! With the app alive and kicking, let's weave some test cases. The spell? Making some API calls! Postman, Hoppscotch, or the classic curl - pick your wand.

    Generate testcases

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

    1. Make a POST request

    curl -X PUT -H "Content-Type: application/json" -d '{"name": "Jane Smith", "age": 21}' http://localhost:6000/students/12345
    

    2. Make a GET request

    curl http://localhost:6000/students
    

    3. Make a PUT request

    curl -X PUT -H "Content-Type: application/json" -d '{"name": "Jane Smith", "age": 21}' http://localhost:6000/students/12345
    

    4. Make a GET request

    curl http://localhost:6000/students/12345
    

    5. Make a DELETE request

    curl -X DELETE http://localhost:6000/students/12345
    

    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 test-1.yml and mocks.yml.

    version: api.keploy.io/v1beta2
    kind: Http
    name: test-1
    spec:
      metadata: {}
      req:
        method: POST
        proto_major: 1
        proto_minor: 1
        url: http://localhost:6000/students
        header:
          Accept: "*/*"
          Content-Length: "56"
          Content-Type: application/json
          Host: localhost:6000
          User-Agent: curl/7.81.0
        body: '{"student_id": "12344", "name": "John Doeww", "age": 10}'
        body_type: ""
        timestamp: 2023-11-13T13:02:32.241333562Z
      resp:
        status_code: 200
        header:
          Content-Length: "48"
          Content-Type: application/json
          Date: Mon, 13 Nov 2023 13:02:32 GMT
          Server: Werkzeug/2.2.2 Python/3.9.18
        body: |
          {
            "message": "Student created successfully"
          }
        body_type: ""
        status_message: ""
        proto_major: 0
        proto_minor: 0
        timestamp: 2023-11-13T13:02:34.752123715Z
      objects: []
      assertions:
        noise:
          - header.Date
      created: 1699880554
    curl: |-
      curl --request POST \
        --url http://localhost:6000/students \
        --header 'Host: localhost:6000' \
        --header 'User-Agent: curl/7.81.0' \
        --header 'Accept: */*' \
        --header 'Content-Type: application/json' \
        --data '{"student_id": "12344", "name": "John Doeww", "age": 10}'
    

    This is how mocks.yml generated would look like:-

    version: api.keploy.io/v1beta2
    kind: Mongo
    name: mocks
    spec:
      metadata:
        operation: '{ OpMsg flags: 0, sections: [{ SectionSingle msg: {"find":"students","filter":{"student_id":"12345"},"projection":{"_id":{"$numberInt":"0"}},"limit":{"$numberInt":"1"},"singleBatch":true,"lsid":{"id":{"$binary":{"base64":"vPKsEFRdTLytlbnyVimqIA==","subType":"04"}}},"$db":"studentsdb"} }], checksum: 0 }'
      requests:
        - header:
            length: 187
            requestId: 2127584089
            responseTo: 0
            Opcode: 2013
          message:
            flagBits: 0
            sections:
              - '{ SectionSingle msg: {"find":"students","filter":{"student_id":"12345"},"projection":{"_id":{"$numberInt":"0"}},"limit":{"$numberInt":"1"},"singleBatch":true,"lsid":{"id":{"$binary":{"base64":"vPKsEFRdTLytlbnyVimqIA==","subType":"04"}}},"$db":"studentsdb"} }'
            checksum: 0
          read_delay: 3469848802
      responses:
        - header:
            length: 166
            requestId: 154
            responseTo: 2127584089
            Opcode: 2013
          message:
            flagBits: 0
            sections:
              - '{ SectionSingle msg: {"cursor":{"firstBatch":[{"student_id":"12345","name":"John Doe","age":{"$numberInt":"20"}}],"id":{"$numberLong":"0"},"ns":"studentsdb.students"},"ok":{"$numberDouble":"1.0"}} }'
            checksum: 0
          read_delay: 869555
      created: 1699880576
      reqTimestampMock: 2023-11-13T13:02:56.385067848Z
      resTimestampMock: 2023-11-13T13:02:56.386374941Z
    

    Want to see if everything works as expected?

    Run Tests

    Time to put things to the test ๐Ÿงช

    keploy test -c "python3 app.py" --delay 10
    

    The --delay flag? Oh, that's just giving your app a little breather (in seconds) before the test cases come knocking.

    Final thoughts? Dive deeper! Try different API calls, tweak the DB response in the mocks.yml, or fiddle with the request or response in test-x.yml. Run the tests again and see the magic unfold!โœจ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ปโœจ

    Wrapping it up ๐ŸŽ‰

    Congrats on the journey so far! You've seen Keploy's power, flexed your coding muscles, and had a bit of fun too! Now, go out there and keep exploring, innovating, and creating! Remember, with the right tools and a sprinkle of fun, anything's possible. ๐Ÿ˜Š๐Ÿš€

    Happy coding! โœจ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ปโœจ


  • MacOS MacOs

    Dive straight in, but first, give Colima a gentle nudge with (colima start). Let's make sure it's awake and ready for action!

    Add alias for Keploy ๐Ÿฐ:

    For the sake of convenience (and a bit of Mac magic ๐Ÿช„), let's set up a shortcut for Keploy:

    alias keploy='sudo docker run --pull always --name keploy-v2 -p 16789:16789 --privileged --pid=host -it -v "$(pwd)":/files -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'
    

    Lights, Camera, Record! ๐ŸŽฅ

    Capture the test-cases-

    keploy record -c "docker run -p 6000:6000 --name DjangoApp --network backend --name flask-app flask-app:1.0"
    

    ๐Ÿ”ฅMake 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 PUT -H "Content-Type: application/json" -d '{"name": "Jane Smith", "age": 21}' http://localhost:6000/students/12345
    

    2. Make a GET request

    curl http://localhost:6000/students
    

    3. Make a PUT request

    curl -X PUT -H "Content-Type: application/json" -d '{"name": "Jane Smith", "age": 21}' http://localhost:6000/students/12345
    

    4. Make a GET request

    curl http://localhost:6000/students/12345
    

    5. Make a DELETE request

    curl -X DELETE http://localhost:6000/students/12345
    

    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 test-1.yml and mocks.yml.

    version: api.keploy.io/v1beta2
    kind: Http
    name: test-1
    spec:
      metadata: {}
      req:
        method: POST
        proto_major: 1
        proto_minor: 1
        url: http://localhost:6000/students
        header:
          Accept: "*/*"
          Content-Length: "56"
          Content-Type: application/json
          Host: localhost:6000
          User-Agent: curl/7.81.0
        body: '{"student_id": "12344", "name": "John Doeww", "age": 10}'
        body_type: ""
        timestamp: 2023-11-13T13:02:32.241333562Z
      resp:
        status_code: 200
        header:
          Content-Length: "48"
          Content-Type: application/json
          Date: Mon, 13 Nov 2023 13:02:32 GMT
          Server: Werkzeug/2.2.2 Python/3.9.18
        body: |
          {
            "message": "Student created successfully"
          }
        body_type: ""
        status_message: ""
        proto_major: 0
        proto_minor: 0
        timestamp: 2023-11-13T13:02:34.752123715Z
      objects: []
      assertions:
        noise:
          - header.Date
      created: 1699880554
    curl: |-
      curl --request POST \
        --url http://localhost:6000/students \
        --header 'Host: localhost:6000' \
        --header 'User-Agent: curl/7.81.0' \
        --header 'Accept: */*' \
        --header 'Content-Type: application/json' \
        --data '{"student_id": "12344", "name": "John Doeww", "age": 10}'
    

    This is how mocks.yml generated would look like:-

    version: api.keploy.io/v1beta2
    kind: Mongo
    name: mocks
    spec:
      metadata:
        operation: '{ OpMsg flags: 0, sections: [{ SectionSingle msg: {"find":"students","filter":{"student_id":"12345"},"projection":{"_id":{"$numberInt":"0"}},"limit":{"$numberInt":"1"},"singleBatch":true,"lsid":{"id":{"$binary":{"base64":"vPKsEFRdTLytlbnyVimqIA==","subType":"04"}}},"$db":"studentsdb"} }], checksum: 0 }'
      requests:
        - header:
            length: 187
            requestId: 2127584089
            responseTo: 0
            Opcode: 2013
          message:
            flagBits: 0
            sections:
              - '{ SectionSingle msg: {"find":"students","filter":{"student_id":"12345"},"projection":{"_id":{"$numberInt":"0"}},"limit":{"$numberInt":"1"},"singleBatch":true,"lsid":{"id":{"$binary":{"base64":"vPKsEFRdTLytlbnyVimqIA==","subType":"04"}}},"$db":"studentsdb"} }'
            checksum: 0
          read_delay: 3469848802
      responses:
        - header:
            length: 166
            requestId: 154
            responseTo: 2127584089
            Opcode: 2013
          message:
            flagBits: 0
            sections:
              - '{ SectionSingle msg: {"cursor":{"firstBatch":[{"student_id":"12345","name":"John Doe","age":{"$numberInt":"20"}}],"id":{"$numberLong":"0"},"ns":"studentsdb.students"},"ok":{"$numberDouble":"1.0"}} }'
            checksum: 0
          read_delay: 869555
      created: 1699880576
      reqTimestampMock: 2023-11-13T13:02:56.385067848Z
      resTimestampMock: 2023-11-13T13:02:56.386374941Z
    

    Want to see if everything works as expected?

    Run Tests

    Time to put things to the test ๐Ÿงช

    keploy test -c "sudo docker run -p 6000:6000 --rm --network backend --name flask-app flask-app:1.0" --delay 10
    

    The --delay flag? Oh, that's just giving your app a little breather (in seconds) before the test cases come knocking.

    Final thoughts? Dive deeper! Try different API calls, tweak the DB response in the mocks.yml, or fiddle with the request or response in test-x.yml. Run the tests again and see the magic unfold!โœจ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ปโœจ

    Wrapping it up ๐ŸŽ‰

    Congrats on the journey so far! You've seen Keploy's power, flexed your coding muscles, and had a bit of fun too! Now, go out there and keep exploring, innovating, and creating! Remember, with the right tools and a sprinkle of fun, anything's possible.๐Ÿ˜Š๐Ÿš€

    Happy coding! โœจ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ปโœจ