FIRST Machine Learning Toolchain
-
Install the Google Cloud SDK See https://cloud.google.com/sdk/install for instructions.
-
Create a Google Cloud Project.
- Go to https://console.cloud.google.com/home/dashboard
- Click
Select a project
- Click
NEW PROJECT
- Enter a project name
- Edit the project ID if desired.
- Make a note of the project ID.
- Click
Create
-
Enable billing
-
Set the environment variable FMLTC_GCLOUD_PROJECT_ID
FMLTC_GCLOUD_PROJECT_ID=<project id> export FMLTC_GCLOUD_PROJECT_ID
-
Set the Google Cloud Project ID
gcloud config set project ${FMLTC_GCLOUD_PROJECT_ID}
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Enable APIs.
gcloud services enable cloudfunctions.googleapis.com gcloud services enable ml.googleapis.com gcloud services enable secretmanager.googleapis.com gcloud services enable compute.googleapis.com gcloud services enable cloudbuild.googleapis.com
-
Create a service account, generate a key.json file, and store it as a secret.
Important! Make sure the current working directory is the fmltc directory when you run these commands.gcloud iam service-accounts create ${FMLTC_GCLOUD_PROJECT_ID}-service-account gcloud projects add-iam-policy-binding ${FMLTC_GCLOUD_PROJECT_ID} --member "serviceAccount:${FMLTC_GCLOUD_PROJECT_ID}-service-account@${FMLTC_GCLOUD_PROJECT_ID}.iam.gserviceaccount.com" --role "roles/owner" gcloud iam service-accounts keys create key.json --iam-account ${FMLTC_GCLOUD_PROJECT_ID}-service-account@${FMLTC_GCLOUD_PROJECT_ID}.iam.gserviceaccount.com gcloud secrets create key_json --replication-policy="automatic" --data-file="key.json"
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Create a secret key for configuring flask. The secret key can be any text you want, but you should keep it private. Execute the following commands, replacing
<YOUR-FLASK-SECRET-KEY>
with the key you want to use.echo "<YOUR-FLASK-SECRET-KEY>" >flask_secret_key.txt gcloud secrets create flask_secret_key --replication-policy="automatic" --data-file=flask_secret_key.txt rm flask_secret_key.txt
-
Give the App Engine default service account access to the secret.
- Go to https://console.cloud.google.com/iam-admin/iam?project=my_project_id (replace my_project_id with your actual project ID)
- Look for the row that shows
App Engine default service account
in the Name column. - At the far right of that row, click on the pencil icon (hint text says
Edit principal
) - Click
+ ADD ANOTHER ROLE
- Under
Select a role
, where it saysType to filter
entersecret accessor
- Click
Secret Manager Secret Accessor
- Click SAVE
-
Create cloud storage buckets.
gsutil mb -c standard gs://${FMLTC_GCLOUD_PROJECT_ID} gsutil defacl set public-read gs://${FMLTC_GCLOUD_PROJECT_ID} gsutil mb -c standard gs://${FMLTC_GCLOUD_PROJECT_ID}-blobs gsutil mb -c standard gs://${FMLTC_GCLOUD_PROJECT_ID}-action-parameters
-
Create the Datastore.
- Go to https://console.cloud.google.com/datastore/welcome?project=my_project_id (replace my_project_id with your actual project ID)
- Click
SELECT NATIVE MODE
- Click
Select a location
and choose a location. - Click
CREATE DATABASE
-
Grant the ml.serviceAgent role to your TPU service account.
- Run the following command
curl -H "Authorization: Bearer $(gcloud auth print-access-token)" \ https://ml.googleapis.com/v1/projects/${FMLTC_GCLOUD_PROJECT_ID}:getConfig
- Look for the tpuServiceAccount value in the curl command output.
- Set the environment variable FMLTC_TPU_SERVICE_ACCOUNT
FMLTC_TPU_SERVICE_ACCOUNT=<tpu service account> export FMLTC_TPU_SERVICE_ACCOUNT
- Run the following command
gcloud projects add-iam-policy-binding ${FMLTC_GCLOUD_PROJECT_ID} \ --member serviceAccount:${FMLTC_TPU_SERVICE_ACCOUNT} --role roles/ml.serviceAgent
- Create a text file named
teams
containing one line for each team allowed to use the tools. Each line should look like this:<program>,<team number>,<team code>
- Program must be FTC or FRC.
- Team number should be the team number.
- Team code should be the code that is given to that team. It can contain any characters and can be any length. Here's an example
FTC, 25, 094e801d FTC, 724, 3ac64ab3 FTC, 3595, 051699ac FTC, 11115, 6629ab97 FRC, 67, 8bfef8bf FRC, 254, f929a006 FRC, 1678, f67145cf
- Go to https://console.cloud.google.com/storage/browser/my_project_id-blobs?project=my_project_id (replace my_project_id with your actual project ID)
- Click
Create folder
. Enterteam_info
and clickCREATE
. - Click
team_info
to go to https://console.cloud.google.com/storage/browser/my_project_id-blobs/team_info/?project=my_project_id (replace my_project_id with your actual project ID) - Click
Upload files
. In the file chooser, select yourteams
file.
Important! Make sure the current working directory is the fmltc directory when you run these commands.
mkdir -p ~/tmp_fmltc/
curl -o ~/tmp_fmltc/compiler-20200406.zip https://dl.google.com/closure-compiler/compiler-20200406.zip
mkdir ../closure-compiler
pushd ../closure-compiler
unzip ~/tmp_fmltc/compiler-20200406.zip
popd
Important! Make sure the current working directory is the fmltc directory when you run these commands.
mkdir -p ~/tmp_fmltc/
curl -o ~/tmp_fmltc/closure-library_v20200406.zip https://codeload.github.com/google/closure-library/zip/refs/tags/v20200406
mkdir ../closure-library
pushd ../closure-library
unzip ~/tmp_fmltc/closure-library_v20200406.zip
popd
- Replace
<YOUR-PROJECT-ID>
with the Google Cloud Project ID for your project. - Replace
<YOUR-ORIGIN>
with the base URL that will serve the website.
Important! Make sure the current working directory is the fmltc directory when you run these commands.
source env_setup.sh
Important! Make sure the current working directory is the fmltc directory when you run these commands.
-
Deploy the Datastore indexes.
source env_setup.sh scripts/deploy_indexes.sh
-
Deploy the static content (the CSS styles and the favicon).
source env_setup.sh scripts/deploy_static.sh
-
Deploy the javascript code.
source env_setup.sh scripts/deploy_js.sh
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Deploy the Cloud Function.
source env_setup.sh scripts/deploy_cloud_function.sh
- If you see the following, enter N.
Allow unauthenticated invocations of new function [perform_action]? (y/N)?
-
Deploy the App Engine code.
source env_setup.sh scripts/deploy_gae.sh
Go to https://my_project_id.appspot.com (replace my_project_id with your actual project ID)