challenge-assignment-plugin-server-python

flowchart LR
   subgraph AccelByte Gaming Services
   CL[gRPC Client]
   end
   subgraph Extend Override App
   SV["gRPC Server"]
   end
   CL --- SV

AccelByte Gaming Services (AGS) features can be customized using Extend Override apps. An Extend Override app is basically a gRPC server which contains one or more custom functions which can be called by AGS instead of the default functions.

Overview

This repository serves as a template project for an Extend Override app for challenge assignment function written in C#. You can clone this repository and start implementing custom functions which can then be called by AGS.

By using this repository as a template project, you will get the recommended authentication and authorization implemented out-of-the-box. You will also get some instrumentation for observability so that metrics, traces, and logs will be available when the app is deployed.

As an example to get you started, this template project contains sample custom functions for connecting this app onto challenge service to be used for challenge assignment.

Prerequisites

Windows 11 WSL2 or Linux Ubuntu 22.04 with the following tools installed.

a. Bash
```
bash --version

GNU bash, version 5.1.16(1)-release (x86_64-pc-linux-gnu)
...
```
b. Make
- To install from Ubuntu repository, run: sudo apt update && sudo apt install make
```
make --version

GNU Make 4.3
...
```
c. Docker (Docker Engine v23.0+)
- To install from Ubuntu repository, run: sudo apt update && sudo apt install docker.io
- Add your user to docker group: sudo usermod -aG docker $USER
- Log out and log back in so that the changes take effect
```
docker version

...
Server: Docker Desktop
 Engine:
  Version:          24.0.5
...
```
d. Python 3.9
- To install from Ubuntu repository, run: sudo apt update && sudo apt install python3 python3-venv
```
python3 --version

Python 3.9.x
```
e. Curl
- To install from Ubuntu repository, run: sudo apt update && sudo apt install curl
```
curl --version

curl 7.81.0 (x86_64-pc-linux-gnu)
...
```
f. Jq
- To install from Ubuntu repository, run: sudo apt update && sudo apt install jq
```
jq --version

jq-1.6
...
```
g. Postman
- Use binary available here
h. ngrok
- Follow installation instruction for Linux here
Access to AGS environment.

a. Base URL
- For Starter tier e.g. https://spaceshooter.prod.gamingservices.accelbyte.io
- For Premium tier e.g. https://dev.accelbyte.io
b. Create a Game Namespace if you don't have one yet. Keep the Namespace ID.

c. Create an OAuth Client with confidential client type. Keep the Client ID and Client Secret.

Setup

To be able to run this app, you will need to follow these setup steps.

Create a docker compose .env file by copying the content of .env.template file.

⚠️ The host OS environment variables have higher precedence compared to .env file variables: If the variables in .env file do not seem to take effect properly, check if there are host OS environment variables with the same name. See documentation about docker compose environment variables precedence for more details.

Fill in the required environment variables in .env file as shown below.

AB_BASE_URL=https://demo.accelbyte.io     # Base URL of AccelByte Gaming Services environment
AB_CLIENT_ID='xxxxxxxxxx'                 # Client ID from the Prerequisites section
AB_CLIENT_SECRET='xxxxxxxxxx'             # Client Secret from the Prerequisites section
AB_NAMESPACE='xxxxxxxxxx'                 # Namespace ID from the Prerequisites section
PLUGIN_GRPC_SERVER_AUTH_ENABLED=true      # Enable or disable access token validation

:info: In this sample app, PLUGIN_GRPC_SERVER_AUTH_ENABLED is true by default: If it is set to false, th gRPC server can be invoked without an AGS access token. This option is provided for development purpose only. It is recommended to enable gRPC server access token validation in production environment.

For more options, create src/AccelByte.PluginArch.ChallengeAssignment.Demo.Server/appsettings.Development.json and fill in the required configuration.

{
   "EnableAuthorization": true,                    // Enable or disable access token and permission check (env var: PLUGIN_GRPC_SERVER_AUTH_ENABLED)
   "RevocationListRefreshPeriod": 60,
   "AccelByte": {
      "BaseUrl": "https://demo.accelbyte.io",      // Base URL (env var: AB_BASE_URL)
      "ClientId": "xxxxxxxxxx",                    // Client ID (env var: AB_CLIENT_ID)    
      "ClientSecret": "xxxxxxxxxx",                // Client Secret (env var: AB_CLIENT_SECRET)
      "AppName": "CHALLENGEASGGRPCSERVICE",
      "TraceIdVersion": "1",
      "Namespace": "xxxxxxxxxx",                   // Namespace ID (env var: AB_NAMESPACE)
      "EnableTraceId": true,
      "EnableUserAgentInfo": true,
      "ResourceName": "CHALLENGEASGGRPCSERVICE"
   }
}

⚠️ Environment variable values will override related configuration values in this file.

Building

To build this app, use the following command.

make build

Running

To (build and) run this app in a container, use the following command.

docker compose up --build

Testing

Test in Local Development Environment

⚠️ To perform the following, make sure PLUGIN_GRPC_SERVER_AUTH_ENABLED is set to false: Otherwise, the gRPC request will be rejected by the gRPC server.

The custom functions in this app can be tested locally using postman.

Run this app by using the command below.
```
docker compose up --build
```
Open postman, create a new gRPC request, and enter localhost:6565 as server URL.

⚠️ If you are running grpc-plugin-dependencies stack alongside this app as mentioned in Test Observability: Enter localhost:10000 instead of localhost:6565. This way, the gRPC server will be called via Envoy service within grpc-plugin-dependencies stack instead of directly.

Continue by selecting AssignmentFunction/Assign method and invoke it with the sample message below.

a. With a VALID payload

{
   "goals": [
      {
            "code": "goal-code",
            "challengeCode": "challenge-code",
            "name": "goal name",
            "isActive": true,
            "tags": [
               {
                  "name": "big goal"
               }
            ],
            "requirements": [
               {
                  "operator": "AND",
                  "predicates": [
                        {
                           "parameterName": "mmr",
                           "parameterType": "STATISTIC",
                           "matcher": "GREATER_THAN",
                           "targetValue": 100
                        }
                  ]
               }
            ],
            "rewards": [
               {
                  "type": "STATISTIC",
                  "itemId": "mmr",
                  "itemName": "more mmr",
                  "quantity": 10
               }
            ],
            "createdAt": {
               "seconds": "5095510",
               "nanos": 728418711
            },
            "updatedAt": {
               "seconds": "7873407235",
               "nanos": -217262300
            }
      }
   ],
   "namespace": "namespace",
   "userId": "dcd3fc9c238a4c6d9cd8c5da2f595bd6"
}

The response will be the list of goals chosen to be assigned to user

{
   "assignedGoals":  [
      {
            "code": "goal-code",
            "challengeCode": "challenge-code",
            "name": "goal name",
            "isActive": true,
            "tags": [
               {
                  "name": "big goal"
               }
            ],
            "requirements": [
               {
                  "operator": "AND",
                  "predicates": [
                        {
                           "parameterName": "mmr",
                           "parameterType": "STATISTIC",
                           "matcher": "GREATER_THAN",
                           "targetValue": 100
                        }
                  ]
               }
            ],
            "rewards": [
               {
                  "type": "STATISTIC",
                  "itemId": "mmr",
                  "itemName": "more mmr",
                  "quantity": 10
               }
            ],
            "createdAt": {
               "seconds": "5095510",
               "nanos": 728418711
            },
            "updatedAt": {
               "seconds": "7873407235",
               "nanos": -217262300
            }
      }
   ],
   "namespace": "namespace",
   "userId": "dcd3fc9c238a4c6d9cd8c5da2f595bd6"
}

Test with AccelByte Gaming Services

For testing this app which is running locally with AGS, the gRPC server needs to be exposed to the internet. To do this without requiring public IP, we can use something like ngrok.

Run this app by using command below.
```
docker compose up --build
```
Sign-in/sign-up to ngrok and get your auth token in ngrok dashboard.
In this app root directory, run the following helper command to expose gRPC server port in local development environment to the internet. Take a note of the ngrok forwarding URL e.g. http://0.tcp.ap.ngrok.io:xxxxx.
```
make ngrok NGROK_AUTHTOKEN=xxxxxxxxxxx
```
⚠️ If you are running grpc-plugin-dependencies stack alongside this app as mentioned in Test Observability: Run the above command in grpc-plugin-dependencies directory instead of this app directory. This way, the gRPC server will be called via Envoy service within grpc-plugin-dependencies stack instead of directly.
Create an OAuth Client with confidential client type with the following permissions. Keep the Client ID and Client Secret.
- For AGS Private Cloud customers:
  - ADMIN:NAMESPACE:{namespace}:CHALLENGE:PLUGIN [CREATE,READ,UPDATE,DELETE]
  - NAMESPACE:{namespace}:CHALLENGE:PROGRESSION [READ]
  - ADMIN:NAMESPACE:{namespace}:INFORMATION:USER:* [DELETE]
- For AGS Shared Cloud customers:
  - Challenge -> Custom Configuration (Read, Create, Update, Delete)
  - Challenge -> Challenge Progression (Read, Create, Update, Delete)
  - IAM -> Users (Delete)
⚠️ Oauth Client created in this step is different from the one from Prerequisites section: It is required by demo.sh script in the next step to register the gRPC Server URL and also to create and delete test users.
Run the demo.sh script to simulate AGS operation which calls this app using the Client ID and Client Secret created in the previous step. Pay attention this app log in the console when the script is running. The custom functions should get called by AGS.
```
export AB_BASE_URL='https://test.accelbyte.io'
export AB_CLIENT_ID='xxxxxxxxxx'         # Use Client ID from the previous step
export AB_CLIENT_SECRET='xxxxxxxxxx'     # Use Client Secret from the previous step    
export AB_NAMESPACE='accelbyte'          # Use your Namespace ID
export GRPC_SERVER_URL='0.tcp.ap.ngrok.io:xxxxx'  # Use your ngrok forwarding URL
bash demo.sh
```
⚠️ Make sure demo.sh has Unix line-endings (LF): If this repository was cloned in Windows for example, the demo.sh may have Windows line-endings (CRLF) instead. In this case, use tools like dos2unix to change the line-endings to Unix (LF). Invalid line-endings may cause errors such as demo.sh: line 2: $'\r': command not found.

⚠️ Ngrok free plan has some limitations: You may want to use paid plan if the traffic is high.

Test Observability

To be able to see the how the observability works in this app locally, there are few things that need be setup before performing tests.

Uncomment loki logging driver in docker-compose.yaml
```
 # logging:
 #   driver: loki
 #   options:
 #     loki-url: http://host.docker.internal:3100/loki/api/v1/push
 #     mode: non-blocking
 #     max-buffer-size: 4m
 #     loki-retries: "3"
```
⚠️ Make sure to install docker loki plugin beforehand: Otherwise, this app will not be able to run. This is required so that container logs can flow to the loki service within grpc-plugin-dependencies stack. Use this command to install docker loki plugin: docker plugin install grafana/loki-docker-driver:latest --alias loki --grant-all-permissions.
Clone and run grpc-plugin-dependencies stack alongside this app. After this, Grafana will be accessible at http://localhost:3000.
```
git clone https://github.com/AccelByte/grpc-plugin-dependencies.git
cd grpc-plugin-dependencies
docker-compose up
```
❗ More information about grpc-plugin-dependencies is available here.
Perform testing. For example, by following Test in Local Development Environment or Test with AccelByte Gaming Services.

Deploying

After done testing, you may want to deploy this app to AccelByte Gaming Services.

Create a new Extend Override App on Admin Portal. Keep the Repository URI.
Download and setup extend-helper-cli (only if it has not been done previously).
Perform docker login with extend-helper-cli using the following command.
```
extend-helper-cli dockerlogin --namespace <my-game> --app <my-app> --login
```
❗ For your convenience, the above extend-helper-cli command can also be copied from Repository Authentication Command under the corresponding app detail page.
Build and push this project docker image to AccelByte ECR using the following command.
```
extend-helper-cli image-upload --work-dir <my-project-dir> --namespace <my-game> --app <my-app> --image-tag v0.0.1
```
⚠️ Make sure to perform docker login (step 3) before executing the above command.
Open Admin Portal, go to Extend -> Overridable Features. And then select the extend app.
To deploy selected image tag, click Image Version History and select desired image tag to be deployed.
Click Deploy Image, confirm the deployment and go back to App Detail by clicking Cancel.
Wait until app status is running.

Next Step

Proceed to create your own Extend Override app for challenge assignment function by modifying this project. See here for more details.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
proto/app		proto/app
src		src
.dockerignore		.dockerignore
.env.template		.env.template
.gitignore		.gitignore
Dockerfile		Dockerfile
Makefile		Makefile
README.md		README.md
demo.sh		demo.sh
docker-compose.yaml		docker-compose.yaml
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt

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challenge-assignment-plugin-server-python

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Next Step

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