Sail JADA — Engineering Log

Technical work on sailjada.com and the JADA booking systems

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Multi-Proposal Payment Terms Reconciliation: S3 Deployment and Dashboard State Management

What Was Done

During this session, we identified and resolved inconsistent payment term definitions across two HTML-based proposal documents stored in S3, synchronized those changes with a local development repository structure, and implemented dashboard state tracking for proposal modifications. The work involved detecting a discrepancy between a primary proposal file and its corresponding backup/variant, correcting both to maintain internal consistency, and establishing audit trail logging through a centralized task management system.

Problem Statement

Two related charter proposal documents existed with conflicting payment term specifications:

  • s3://queenofsandiego.com/proposals/jada-charter-proposal-ewing.html — contained outdated deposit language
  • /Users/cb/Documents/repos/sites/queenofsandiego.com/proposals/jada-charter-proposal-sue.html — contained a logical contradiction between deposit and weather refund clauses

The Ewing proposal incorrectly specified "50% deposit" while the Sue variant had conflicting conditions on deposit handling. This created risk of customer confusion and potential contract disputes.

Technical Execution

S3 Retrieval and Local Analysis

We used AWS CLI to pull the S3-hosted proposal document:

aws s3 cp s3://queenofsandiego.com/proposals/jada-charter-proposal-ewing.html /tmp/ewing-proposal.html --region us-east-1

This strategy of downloading to /tmp for rapid iteration allowed quick testing without affecting production state. We then performed grep analysis across both local and S3 locations to identify payment-related clauses:

grep -n "deposit\|payment\|refund\|weather\|500\|balance" /tmp/ewing-proposal.html

This line-by-line scan revealed that the Ewing file contained the problematic "50% deposit" language while the Sue file had a more nuanced (but contradictory) clause structure.

HTML Document Correction

Rather than bulk-replace, we manually edited both HTML files to ensure payment terms were explicit and non-contradictory:

  • Removed the ambiguous "50% deposit" phrasing from the Ewing proposal
  • Reconciled the Sue proposal's deposit clause to align with weather-related refund conditions
  • Preserved all other proposal content (pricing, dates, legal disclaimers) unchanged

The corrected files were saved to their respective locations before re-uploading to S3.

S3 Deployment

We pushed the corrected Ewing proposal back to S3 with proper content-type headers:

aws s3 cp /tmp/ewing-proposal.html s3://queenofsandiego.com/proposals/jada-charter-proposal-ewing.html --content-type text/html --region us-east-1

The Sue proposal (already stored in the local repo at /Users/cb/Documents/repos/sites/queenofsandiego.com/proposals/) would be deployed via the standard CI/CD pipeline on next push.

Infrastructure and State Management

Dashboard Synchronization

To maintain an audit trail and update task status, we invoked a Python-based dashboard management tool:

python3 /Users/cb/Documents/repos/tools/update_dashboard.py add-note t-f20bc5a4 \
  --text "Payment terms fixed on both proposals. Ewing: corrected from S3. Sue: deposit/weather refund reconciled."

This tool updates a centralized state.json file (served via API at https://progress.queenofsandiego.com/state.json) that aggregates task metadata across multiple agents and workflows.

Task Tracking

Multiple task IDs received updates to document the work:

  • t-f20bc5a4 — Payment terms corrections (primary tracking task)
  • t-33502227 — Secondary confirmation note for related proposal work

Each dashboard note includes a timestamp and is queryable via the state.json API endpoint, allowing downstream processes to detect when work has been completed.

Key Architecture Decisions

Dual Storage Strategy

The proposal documents exist in two locations:

  • S3 (production-facing): Served directly to clients; immutable after deployment
  • Local repo (source of truth): Version-controlled HTML files that feed into deployment pipelines

We reconciled both locations to prevent drift. The S3 documents are the live versions, but the local repo files are the canonical source for CI/CD. This dual-location approach allows rapid S3 updates while maintaining git history in the repo.

Grep-Based Content Validation

Rather than parsing HTML with a DOM parser, we used line-anchored grep to identify payment clauses. This approach:

  • Avoids XML/HTML parsing complexity for static documents
  • Produces line numbers for precise manual review
  • Scales across multiple files in batch operations

For more complex proposals in the future, a DOM-aware parser would be preferable, but for these HTML-based contracts, grep pattern matching proved sufficient.

Stateless API for State Tracking

The dashboard state is served as JSON via CloudFront and an API Gateway backend, allowing multiple agents to query completion status without polling a database. The state.json format is:

{
  "tasks": [
    {
      "id": "t-f20bc5a4",
      "title": "Fix proposal payment terms",
      "status": "closed",
      "notes": [
        { "timestamp": "2026-01-15T14:32:00Z", "text": "Payment terms fixed..." }
      ]
    }
  ]
}

This immutable-append-only structure (notes are added, never modified) ensures a clean audit trail without requiring transactional consistency.

Deployment Pipeline Integration

The local repo files will be deployed on next push via the standard pipeline:

/Users/cb/Documents/repos/sites/queenofsandiego.com/

Files in this directory are automatically built and deployed to S3 bucket queenofsandiego.com with CloudFront cache invalidation on the distribution (no specific dist ID hardcoded in commands; it's configured in the pipeline config).

Verification and Testing

Post-deployment verification involved:

  • Downloading the updated Ewing file from S3 and confirming payment term corrections
  • Checking the Sue file locally for consistent deposit/refund language
  • Querying progress.queenofsandiego.com/state.json to confirm dashboard notes were recorded

No automated tests were run (proposals are static HTML, not executable code), but manual review by CB (the task owner) confirmed correctness before marking tasks complete.

What's Next

  • Client Communication: Regenerate and resend both proposals to customers