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Add comprehensive implementation plan for Transaction Trends analytics feature#7

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saritai with Copilot wants to merge 2 commits into
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copilot/plan-implementation-transaction-trends
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Add comprehensive implementation plan for Transaction Trends analytics feature#7
saritai with Copilot wants to merge 2 commits into
masterfrom
copilot/plan-implementation-transaction-trends

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Copilot AI commented Oct 24, 2025

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Planning document for a new Transaction Trends view that analyzes user spending patterns across all accounts, providing insights into transaction types, merchant categories, and account-level comparisons.

Deliverables

TRANSACTION_TRENDS_IMPLEMENTATION_PLAN.md

  • Complete technical specification with architecture, data structures, and API design
  • 3-phase implementation roadmap (Foundation → Core Analytics → Polish)
  • 12 discrete tasks with complexity estimates and dependencies
  • Category detection patterns and metric calculations
  • Risk analysis, constraints, and future enhancement scope
  • 6-8 hour timeline estimate

TRANSACTION_TRENDS_QUICK_REFERENCE.md

  • Condensed implementation checklist for active development
  • Code snippets for routes, views, and analysis functions
  • Testing strategy and edge case coverage
  • File modification map

Technical Approach

Route: GET /services/trends in existing services router
Analysis: Server-side aggregation using pure JavaScript (zero new dependencies)
View: EJS template following existing patterns (header/footer includes, .data-panel tables)
Data: Pattern-based merchant categorization from existing accounts.json transactions

Key Metrics Planned

  • Overall: total transactions, debits/credits, net change, averages
  • By Type: debit vs credit breakdown with percentages
  • By Category: spending grouped by Food, Shopping, Income, Transfers, Other
  • By Account: checking/savings/credit comparison
  • Top Merchants: top 5 by total spending

Example Analysis Structure

router.get('/trends', (req, res) => {
  const trendData = {
    summary: { totalTransactions, totalDebits, totalCredits, netChange, avgTransaction },
    byType: { debits: { count, total, percentage }, credits: {...} },
    byCategory: [{ name: 'Food & Dining', count, total, percentage }, ...],
    byAccount: [{ name: 'Checking', count, total }, ...],
    topMerchants: [{ name: 'SHARP*EMPLOYER', count, total }, ...]
  };
  res.render('trends', { title: 'Transaction Trends', ...trendData });
});

Implementation follows existing services pattern (transfer/payment routes) with no breaking changes to current functionality.

Original prompt

plan implementation of a new view - transaction trends, that gives some information to user on the trends/patterns of their transactions

Note

Custom agent used: implementation-planner
Creates detailed implementation plans and technical specifications in markdown format


💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

Co-authored-by: saritai <66540150+saritai@users.noreply.github.com>
Copilot AI changed the title [WIP] Plan implementation of transaction trends view Add comprehensive implementation plan for Transaction Trends analytics feature Oct 24, 2025
Copilot AI requested a review from saritai October 24, 2025 20:44
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