feat: autonomous budget optimization engine (#92)#467
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sinatragianpaolo-oc wants to merge 1 commit intorohitdash08:mainfrom
Open
feat: autonomous budget optimization engine (#92)#467sinatragianpaolo-oc wants to merge 1 commit intorohitdash08:mainfrom
sinatragianpaolo-oc wants to merge 1 commit intorohitdash08:mainfrom
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Implements issue rohitdash08#92: detect overspending patterns, recommend category-level reallocations, and return an adaptive budget plan based on spending history. New files: packages/backend/app/services/budget_optimizer.py - get_budget_optimization(uid, months, anchor) → full analysis dict - _iter_months(): generates (year, month) tuples for the look-back window - _monthly_category_spend(): per-category expense aggregation per month - _monthly_income(): income aggregation per month - _detect_overspending(): flags categories consuming >1.5× their fair share - _compute_trend(): MoM average change + direction (increasing/decreasing/stable) - _build_reallocations(): trim suggestions (−10% on flagged categories) + 50/30/20 target budget when income is available - No external dependencies — pure Python + SQLAlchemy packages/backend/app/routes/budget.py - GET /budget/optimize?months=3&anchor=YYYY-MM-DD — full analysis - GET /budget/optimize/summary — lightweight summary - Input validation: months 1–12, anchor ISO date - JWT-protected, per-user isolation packages/backend/tests/test_budget_optimizer.py - 32 tests covering: unit (iter_months, detect_overspending, compute_trend), service (empty history, structure), HTTP (auth, params validation, overspend detection, income→50/30/20, net flow, user isolation, summary) Updated: packages/backend/app/routes/__init__.py — register budget_bp at /budget /claim rohitdash08#92 Closes rohitdash08#92
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Implements autonomous budget optimization to fix #92.
Analyses a user's spending history to detect overspending patterns, recommend category-level reallocations, and return an adaptive budget plan. Pure Python + SQLAlchemy — no external dependencies.
Endpoints
GET /budget/optimize— full analysisGET /budget/optimize/summary— lightweight version (trend + net flow + top 3 recommendations)Both JWT-protected. Query params:
months(1–12, default 3),anchor(YYYY-MM-DD, default today).What it detects
Example response (abbreviated)
{ "analysis_period_months": 3, "avg_monthly_expenses": 12400.00, "avg_monthly_income": 15000.00, "net_flow": 2600.00, "trend": { "direction": "increasing", "avg_mom_change_pct": 8.3 }, "overspending_alerts": [ { "category_name": "Entertainment", "amount": 4200.00, "share_pct": 33.9, "excess": 2050.00, "reason": "This category accounts for 33.9% of total expenses..." } ], "recommendations": [ { "type": "trim", "category_name": "Entertainment", "savings_opportunity": 420.00, ... }, { "type": "target_budget", "needs_target": 7500.00, "wants_target": 4500.00, "savings_target": 3000.00, ... } ] }Files
app/services/budget_optimizer.py— core analysis engineapp/routes/budget.py— Flask blueprintapp/routes/__init__.py— blueprint registrationtests/test_budget_optimizer.py— 32 tests (unit + integration)/claim #92
Closes #92