last portion of jumpstart notebook does not complete and errors out at second section

[bparbhurestore]

We get a problem with using the installation notebook. We get an error during the second section of the last part of the notebook when doing the installation.

we are running this section

@title

%%capture
%%bash
export PATH="$PATH:~/.tfenv/bin"
export PATH="/root/.local/bin:$PATH"
export PATH="$PATH:$(which gcloud)"
export GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json
TERRAFORM_RUN_DIR=$(pwd)/infrastructure/terraform
terraform -chdir="${TERRAFORM_RUN_DIR}" apply -target=module.data_store -auto-approve

and getting this back

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CalledProcessError Traceback (most recent call last)
in <cell line: 0>()
----> 1 get_ipython().run_cell_magic('bash', '', 'export PATH="$PATH:~/.tfenv/bin"\nexport PATH="/root/.local/bin:$PATH"\nexport PATH="$PATH:$(which gcloud)"\nexport GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json\nTERRAFORM_RUN_DIR=$(pwd)/infrastructure/terraform\nterraform -chdir="${TERRAFORM_RUN_DIR}" apply -target=module.data_store -auto-approve\n')

4 frames
in shebang(self, line, cell)

/usr/local/lib/python3.11/dist-packages/IPython/core/magics/script.py in shebang(self, line, cell)
243 sys.stderr.flush()
244 if args.raise_error and p.returncode!=0:
--> 245 raise CalledProcessError(p.returncode, cell, output=out, stderr=err)
246
247 def _run_script(self, p, cell, to_close):

CalledProcessError: Command 'b'export PATH="$PATH:~/.tfenv/bin"\nexport PATH="/root/.local/bin:$PATH"\nexport PATH="$PATH:$(which gcloud)"\nexport GOOGLE_APPLICATION_CREDENTIALS=/content/.config/application_default_credentials.json\nTERRAFORM_RUN_DIR=$(pwd)/infrastructure/terraform\nterraform -chdir="${TERRAFORM_RUN_DIR}" apply -target=module.data_store -auto-approve\n'' returned non-zero exit status 1.

[nrkfeller]

🤖 Devin AI Analysis Started

I'm analyzing this issue to provide a detailed action plan and confidence score.

Session Details:

• Session ID: devin-0320f875975249c28b5d12f9b82d2def
• Session URL: View Progress

I'll post the results here once the analysis is complete (typically within 10-30 minutes).

[nrkfeller]

🤖 Devin Analysis Results

Phase 1: Prerequisites Validation

1. Verify Environment Variables

• Confirm PROJECT_ID, GA4_PROPERTY_ID, and GA4_STREAM_ID are set
• Check GOOGLE_APPLICATION_CREDENTIALS points to valid service account key
• Validate TERRAFORM_RUN_DIR path is correct

2. Check Authentication & Permissions

• Verify Google Cloud authentication: gcloud auth list
• Confirm project access: gcloud config get-value project
• Validate required OAuth scopes for GA4 Admin API access
• Ensure Project Owner role on target GCP projects

3. Validate Required APIs

• Enable Cloud Resource Manager API
• Enable Dataform API
• Enable BigQuery API
• Enable Cloud Workflows API
• Enable Secret Manager API

Phase 2: Configuration Validation

4. Check Terraform Variables File

• Verify terraform.tfvars exists and contains all required variables
• Validate project IDs, dataset names, and GitHub repository URLs
• Confirm Dataform GitHub token has correct permissions

5. Verify Dataform Repository Setup

• Ensure private GitHub/GitLab repository exists
• Confirm repository contains Dataform SQL scripts
• Validate GitHub personal access token permissions

6. Check Terraform Backend

• Verify generate-tf-backend.sh script was executed successfully
• Confirm GCS bucket for Terraform state exists
• Validate backend.tf configuration file

Phase 3: Detailed Diagnosis

7. Run Terraform Diagnostics

• Execute terraform init to check initialization
• Run terraform validate to verify configuration syntax
• Use terraform plan -target=module.data_store to identify specific issues

8. Check Detailed Error Logs

• Remove %%capture magic command to see full error output
• Run terraform with -detailed-exitcode flag for more information
• Check Google Cloud Console for API quota or permission errors

9. Validate Data Source Access

• Confirm GA4 export to BigQuery is configured
• Verify Google Ads Data Transfer Service setup
• Check BigQuery dataset permissions for source data

Phase 4: Incremental Deployment

10. Deploy Components Separately

• Start with basic infrastructure: terraform apply -target=google_dataform_repository.marketing-analytics
• Deploy IAM bindings: terraform apply -target=module.data_store.google_project_iam_*
• Deploy workflows incrementally by environment

11. Environment-Specific Troubleshooting

• Check if create_prod_environment = true matches your setup
• Verify environment-specific project IDs and locations
• Ensure consistent BigQuery regions across all components

Phase 5: Common Issue Resolution

12. Address Known Issues

• Dataform repository naming conflicts
• GitHub token expiration or insufficient permissions
• BigQuery dataset location mismatches
• Service account key file path issues
• Poetry dependency installation failures

Confidence Score: 85%

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Session ID: devin-0320f875975249c28b5d12f9b82d2def
Analysis completed at: 2025-07-31 16:31:51 UTC