NOTE

This is an experimental project and will receive minimal maintenance. Only bugs for security issues will be accepted. No feature requests will be accepted. Pull requests will be acknowledged and reviewed as soon as possible. There is no associated SLAs.

Some of the projects in this experimental org might mature to a more stable state and move into the main Actions on Google GitHub org.

This is the full source code for the Google Assistant game, Cookie Detective.

Have your kids become kitchen sleuths as they locate their cookie friend under 10 guesses. Make sure the mouse doesn't get to the cookie first!

After cracking the case, do the celebratory cookie dance before journeying to harder levels in space and under the sea.

This game supports both single and multiplayer modes.

This game has been designed for Nest Hub and Nest Hub Max smart displays and implemented using Interactive Canvas.

1. Yarn
   • Make sure yarn is installed on your system
2. Install the Firebase CLI
   • We recommend using MAJOR version 8 with 8.3.0 or above, npm install -g firebase-tools@^8.3.0
   • Run firebase login with your Google account
3. Install gsutil
   • Run gcloud init and log in
4. For Windows developers, the projects scripts rely on Unix-like scripts, so we recommend installing Ubuntu on Windows Subsystem for Linux.

1. Download the following GSAP plugins and place their .js files in the /view/src/vendor/gsap directory:
   • CustomBounce
   • CustomEase
   • CustomWiggle
   • DrawSVGPlugin
   • GSDevTools
   • MorphSVGPlugin
   • Physics2DPlugin
   • PhysicsPropsPlugin
   • ScrambleTextPlugin
   • SplitText
   • ThrowPropsPlugin

1. From the Actions on Google Console, New project > Create project > Game > Blank Project for Smart Display
2. Enable the For Families option under Deploy > Directory information > Additional information and save the information.

1. Run Yarn from the project root directory and the agent/ and view/ directories: yarn && cd agent/ && yarn && cd ../view/ && yarn && cd ../.
2. Run firebase use --add {PROJECT_ID} in the project root directory.
3. Edit PROJECT_ID file and and replace {PROJECT_ID} with your project ID.

The game TTS is generated using the Google Cloud TTS service and the generated audio files is persisted in Google Storage. The Canvas web app is also hosted in Cloud Storage.

• Enable the Text-to-Speech service for your project
• Create a service account for the TTS service, without any roles
• Generate a JSON key file for the TTS service account and put it in /agent/config/tts.json
• Generate an API key for the TTS service and put it in /view/src/config/config.js (environments.variables[VariableNames.TTS_API_KEY].development)
• Create a Storage Bucket with the same name as the project ID and enable public access
• Create a service account with the role "Storage Object Admin"
• Generate a JSON key file for the Storage bucket service account and put it in /agent/config/storage.json

1. Install the Actions CLI
2. Navigate to agent/action/settings/settings.yaml, and replace {PROJECT_ID} with your project ID.
3. Navigate to agent/action/settings/en/settings.yaml, and replace {Game Name} your own name.
4. Navigate to agent/action/webhook/AssistantStudioFulfillment.yaml, and replace {PROJECT_ID} with your project ID
5. Navigate to the agent/ directory by running cd agent from the root directory of this project.
6. Run gactions login to login to your account.
7. Run yarn push to push the whole project.

• Enable CORS on your bucket: cd view/ && yarn cors
• Deploy the view: cd view/ && yarn build && yarn deploy
• Obtain the public URL of the view's index.html file from the Cloud Console and put the public URL in /agent/config/config.json (default.viewUrl).
• Deploy the agent config & webhook: cd agent/ && yarn build && yarn deploy
• Put the public URL to the webhook endpoint in /agent/config/config.json (default.webhookUrl) and replace the version number in the path with {VERSION}
• Put the public URL to the TTS cache endpoint in /view/src/config/config.js (environments.variables[VariableNames.TTS_URL].production)
• Re-deploy the view: cd view/ && yarn build && yarn deploy

• From the project root: yarn build && yarn deploy (this will bump the minor version automatically)

• You can test your Action on any Google Assistant-enabled device on which the Assistant is signed into the same account used to create this project. Just say or type, “OK Google, talk to my test app”.
• You can also use the Actions on Google Console simulator to test most features and preview on-device behavior.

• Questions? Go to StackOverflow or the Assistant Developer Community on Reddit.
• For bugs, please report an issue on Github.
• Actions on Google Documentation
• Actions on Google Codelabs

Please read and follow the steps in the CONTRIBUTING.md.

See LICENSE.