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feat: trigger prefect flow after models successfully transferred to s3 #1672

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1 change: 1 addition & 0 deletions dataeng/jobs/analytics/ModelTransfers.groovy
Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@ class ModelTransfers{
publishers common_publishers(allVars)
steps {
shell(dslFactory.readFileFromWorkspace('dataeng/resources/model-transfers.sh'))
shell(dslFactory.readFileFromWorkspace('dataeng/resources/trigger-prefect-flow.sh'))
}
}
}
Expand Down
37 changes: 37 additions & 0 deletions dataeng/resources/trigger-prefect-flow.sh
Original file line number Diff line number Diff line change
@@ -0,0 +1,37 @@
#!/usr/bin/env bash
set -ex

# Creating python3.8 virtual env
PYTHON_VENV="python_venv"
virtualenv --python=python3.8 --clear "${PYTHON_VENV}"
source "${PYTHON_VENV}/bin/activate"

# Install prefect python pkg
cd $WORKSPACE/prefect-flows
pip install -r requirements.txt

# Do not print commands in this function since they may contain secrets.
set +x

# Retrieve a vault token corresponding to the jenkins AppRole. The token is then stored in the VAULT_TOKEN variable
# which is implicitly used by subsequent vault commands within this script.
# Instructions followed: https://learn.hashicorp.com/tutorials/vault/approle#step-4-login-with-roleid-secretid
export VAULT_TOKEN=$(vault write -field=token auth/approle/login \
role_id=${ANALYTICS_VAULT_ROLE_ID} \
secret_id=${ANALYTICS_VAULT_SECRET_ID}
)

PREFECT_CLOUD_AGENT_TOKEN=$(
vault kv get \
-version=${PREFECT_VAULT_KV_VERSION} \
-field=PREFECT_CLOUD_AGENT_TOKEN \
${PREFECT_VAULT_KV_PATH} \
)

# Get Authenticated with Prefect Cloud
prefect auth login --key $PREFECT_CLOUD_AGENT_TOKEN

set -x

# Trigger prefect flow
prefect run --id $ENTERPRISE_PREFECT_FLOW_ID
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