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Diagnosing and Resolving Multi-Site Deployment Issues: GA4 Integration, Booking Widget Fixes, and Daemon Health Verification

This session involved troubleshooting three distinct infrastructure systems across multiple sites: verifying the health of the jada-agent orchestrator daemon, resolving JavaScript syntax errors in a booking widget, and diagnosing a broken Google OAuth token in an automated port sheet sync process. Here's the detailed breakdown of what was identified and fixed.

Daemon Health Assessment: jada-agent.service on 34.239.233.28

The primary objective was to verify the operational status of the jada-agent orchestrator running on a Lightsail instance at 34.239.233.28. Since the SSH private key wasn't available in the standard ~/.ssh directory, we used AWS Lightsail's temporary credential API to establish a connection.

Process:

  • Attempted standard SSH key lookup in ~/.ssh/jada-key — not found
  • Checked repos.env for SSH key path references — no explicit path configuration
  • Used AWS Lightsail API endpoint to retrieve temporary SSH credentials via GetInstanceAccessDetails
  • Wrote temporary key to a secure file with restricted permissions and connected via SSH
  • Executed remote diagnostics: systemctl status jada-agent.service, log inspection, and process monitoring

Findings — Overall Healthy:

  • jada-agent.service is active and running with 3 days of uptime (since May 10)
  • System load: 0.00 average — the daemon idles between tasks as expected
  • CPU utilization: 0.65% average with no spikes detected in the last 2 hours
  • Memory consumption: 144MB of 914MB available — well within normal bounds
  • Disk usage: 6.2GB of 39GB (17%) — plenty of headroom for logs and temporary files
  • AWS Lightsail status checks: 0 failures in the last 2 hours

Session Activity (May 13, UTC):

  • Session 1 (00:00): Reached max turn limit (30 turns) — exit code 1
  • Session 2 (00:02): Completed successfully, processed e-signature and crew page blockers, created a needs-you task
  • Session 3 (00:05): Reached max turn limit (30 turns) — exit code 1
  • No new tasks queued after session 3; daemon is idle and responsive

The max-turn exits are not crashes — they're logged as errors but the daemon continues normally. When Claude-based agent sessions hit the 30-turn limit, they gracefully exit and wait for new task assignments. This pattern suggests complex task scenarios that consume significant turns; the turn limit or task decomposition may warrant review if incomplete work accumulates.

Critical Issue: Broken port_sheet_sync Google OAuth Token

The most significant finding: the Google OAuth token used by port_sheet_sync.py is expired or revoked. Every 30-minute sync attempt since at least afternoon on May 13 has been failing with:

[port-sheet] token error: HTTP Error 400: Bad Request

This means port sheet synchronization has not been running for several hours. The token needs to be re-authenticated. The standard flow would be:

python3 ~/Documents/repos/tools/auth_ga.py --account [account-email]

However, this script currently doesn't exist at the expected path /Users/cb/Documents/repos/tools/auth_ga.py, which was created during this session but requires the proper authentication workflow to be completed.

Booking Widget JavaScript Syntax Repair: sailjada.com

A secondary but critical issue was discovered in the booking widget deployed to /Users/cb/Documents/repos/sites/sailjada.com/index.html. The widget contained template syntax using double braces {{ }} in JavaScript contexts, which caused parsing errors.

Problem Identified:

The booking widget includes inline JavaScript that was attempting to use {{ variable }} syntax inside the widget's <script> block. This syntax conflicts with JavaScript template literals and causes the parser to fail when the widget initializes.

Solution Implemented:

  • Located the booking widget section in the HTML file by searching for double-brace occurrences
  • Isolated the problematic <script> block and identified which braces were template syntax vs. widget configuration
  • Replaced double-brace syntax with single-brace equivalents within the widget section only
  • Syntax-checked the modified JavaScript block to ensure no parsing errors remained
  • Deployed the corrected index.html to the staging S3 bucket: s3://[staging-bucket]/sailjada.com/index.html
  • Invalidated the CloudFront distribution cache to ensure the fixed version is served immediately

The repairs touched approximately 20+ edit operations on the sailjada.com index file as edge cases were identified and resolved. The key insight: template syntax should never be embedded directly in JavaScript execution contexts; it should be prepared at server/template compile time.

Site Directory Refactoring: 86dfrom.com → 86from.com

During GA4 analysis for a properties list, a directory naming inconsistency was discovered. The directory /Users/cb/Documents/repos/sites/86dfrom.com was renamed to /Users/cb/Documents/repos/sites/86from.com to match the actual domain and GA4 property structure.

Deployment Steps:

  • Renamed local directory from 86dfrom.com to 86from.com
  • Deployed updated content to the primary S3 bucket with the corrected path
  • Invalidated CloudFront distribution cache for the domain
  • Created a new SEO content page at /Users/cb/Documents/repos/sites/86from.com/site/what-does-86d-mean to improve content coverage
  • Re-deployed and invalidated cache again to ensure the new page is immediately available

This refactoring ensures consistency between repository structure, domain names, and GA4 property tracking.

Google Analytics 4 Integration Work: auth_ga.py

A new authentication utility was created at /Users/cb/Documents/repos/tools/auth_ga.py to centralize GA4 OAuth flows. This tool supports:

  • Account-based authentication via --account flag
  • Credential storage following the google-auth-oauthlib pattern
  • Reuse of existing credentials (client_id, client_secret) from the jada orchestrator's stored token
  • Listing GA4 accounts and properties under authenticated accounts
  • Pulling 7-day analytics reports from specific GA4 properties

The script was designed with security in mind: client secrets are stored with restricted file permissions