Small simple Chatbot made with Firebase, API.AI and Kotlin.
You will need to setup a Firebase account and create a new project.
Follow the instructions and download the google-services.json file and copy it to both the debug and main folders in the src directory.
This is the tree structure you should get
app/src
├── debug
│ └── google-services.json
├── main
│ ├── AndroidManifest.xml
│ ├── google-services.json
│ ├── kotlin
│ │ └── com
│ │ └── chatbot
. . .
Tree structure for placing the google-services.json files
This allows the googleServices plugin to build for both debug and release versions with ease.
Also, ensure that the google-services.json file placed within the debug folder has the .debug suffix on the application id of the project, e.g, find all references for package_name or all references to the application id and update them:
{
"package_name": "<APPLICATION_ID>.debug"
}The googleservices.gradle will take care of copying the right json file to the root of the app folder.
You will need to configure API AI to get a client access token and a dev access token.
Once you have those configured, create a gradle.properties file in the root of the project.
You will need a service account email setup for automated deployments, read this for more context.
API_AI_CLIENT_ACCESS_TOKEN=<CLIENT_ACCESS_TOKEN>
API_AI_DEV_ACCESS_TOKEN=<DEV_ACCESS_TOKEN>
CHATBOT_SERVICE_ACCOUNT_EMAIL=<SERVICE_ACCOUNT_EMAIL>properties to setup in the gradle.properties file
- keystore.properties file
This is necessary, especially for signing of the application for release.
Create a keystore.properties file in keystoresdirectory and place these in the file
keyAlias=<KEY_ALIAS>
keyPassword=<KEY_PASSWORD>
storeFile=<STORE_FILE_NAME>
storePassword=<STORE_PASSWORD>Properties file for keystore, place in your values.
Refer to this article on how to create a release build with Android Studio.
That is all you will need to setup and start and even deploy this minimal project.