Add accounts expansion, analytics, exchange rates, API tokens, PWA support, and UI overhaul

- Expand Account model with account_type (pension, savings, liability, crypto), new banks/currencies (BTC, XMR, FCL, ROP, VOL, MEMP, MPAT, MORTGAGE), and next_payment field
- Add exchange rate endpoint (BCCR integration), analytics endpoint, paste-import for transactions, and API token management
- Add PWA manifest, service worker, and app icons
- Redesign dashboard, transactions, transfers, and login pages with theme support
- Add billing cycle selector, confirm dialog, and paste import modal components
- One-time DB reset in deploy workflow for schema migration

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend/app/api/v1/endpoints/analytics.py

@@ -0,0 +1,184 @@
+from datetime import datetime
+from typing import Optional
+
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel
+from sqlmodel import Session, func, select
+
+from app.auth import get_current_user
+from app.db import get_session
+from app.models.models import Category, Transaction
+from app.api.v1.endpoints.transactions import get_cycle_range
+
+router = APIRouter(prefix="/analytics", tags=["analytics"])
+
+
+class CategorySpending(BaseModel):
+    category_id: Optional[int]
+    category_name: str
+    total: float
+    count: int
+    percentage: float
+
+
+class MonthlyTrend(BaseModel):
+    year: int
+    month: int
+    label: str
+    total_crc: float
+    total_usd: float
+    count: int
+
+
+class DailySpending(BaseModel):
+    date: str
+    total: float
+    count: int
+
+
+@router.get("/by-category", response_model=list[CategorySpending])
+def spending_by_category(
+    cycle_year: Optional[int] = None,
+    cycle_month: Optional[int] = None,
+    session: Session = Depends(get_session),
+    _user: str = Depends(get_current_user),
+):
+    query = (
+        select(
+            Transaction.category_id,
+            func.sum(Transaction.amount).label("total"),
+            func.count().label("count"),
+        )
+        .where(Transaction.transaction_type == "COMPRA")
+        .group_by(Transaction.category_id)
+    )
+
+    if cycle_year and cycle_month:
+        start, end = get_cycle_range(cycle_year, cycle_month)
+        query = query.where(Transaction.date >= start, Transaction.date < end)
+
+    rows = session.exec(query).all()
+
+    grand_total = sum(r[1] for r in rows) or 1
+
+    results = []
+    for category_id, total, count in rows:
+        cat_name = "Uncategorized"
+        if category_id:
+            cat = session.get(Category, category_id)
+            if cat:
+                cat_name = cat.name
+        results.append(
+            CategorySpending(
+                category_id=category_id,
+                category_name=cat_name,
+                total=float(total),
+                count=count,
+                percentage=round(float(total) / grand_total * 100, 1),
+            )
+        )
+
+    return sorted(results, key=lambda x: x.total, reverse=True)
+
+
+@router.get("/monthly-trend", response_model=list[MonthlyTrend])
+def monthly_trend(
+    months: int = 6,
+    session: Session = Depends(get_session),
+    _user: str = Depends(get_current_user),
+):
+    """Monthly spending totals using billing cycle boundaries (18th-18th)."""
+    now = datetime.now()
+    results = []
+    month_names = [
+        "", "Jan", "Feb", "Mar", "Apr", "May", "Jun",
+        "Jul", "Aug", "Sep", "Oct", "Nov", "Dec",
+    ]
+
+    y, m = now.year, now.month
+    for _ in range(months):
+        start, end = get_cycle_range(y, m)
+
+        row = session.exec(
+            select(
+                func.count(),
+                func.coalesce(
+                    func.sum(
+                        func.case(
+                            (Transaction.currency == "CRC", Transaction.amount),
+                            else_=0,
+                        )
+                    ),
+                    0,
+                ),
+                func.coalesce(
+                    func.sum(
+                        func.case(
+                            (Transaction.currency == "USD", Transaction.amount),
+                            else_=0,
+                        )
+                    ),
+                    0,
+                ),
+            )
+            .where(
+                Transaction.transaction_type == "COMPRA",
+                Transaction.date >= start,
+                Transaction.date < end,
+            )
+        ).first()
+
+        count = row[0] if row else 0
+        total_crc = float(row[1]) if row else 0.0
+        total_usd = float(row[2]) if row else 0.0
+
+        end_month = m + 1 if m < 12 else 1
+        label = f"{month_names[m]} - {month_names[end_month]}"
+
+        results.append(
+            MonthlyTrend(
+                year=y,
+                month=m,
+                label=label,
+                total_crc=total_crc,
+                total_usd=total_usd,
+                count=count,
+            )
+        )
+
+        # Previous month
+        if m == 1:
+            y, m = y - 1, 12
+        else:
+            m -= 1
+
+    return list(reversed(results))
+
+
+@router.get("/daily-spending", response_model=list[DailySpending])
+def daily_spending(
+    cycle_year: Optional[int] = None,
+    cycle_month: Optional[int] = None,
+    session: Session = Depends(get_session),
+    _user: str = Depends(get_current_user),
+):
+    query = (
+        select(
+            func.date(Transaction.date).label("day"),
+            func.sum(Transaction.amount).label("total"),
+            func.count().label("count"),
+        )
+        .where(Transaction.transaction_type == "COMPRA")
+        .group_by(func.date(Transaction.date))
+        .order_by(func.date(Transaction.date))
+    )
+
+    if cycle_year and cycle_month:
+        start, end = get_cycle_range(cycle_year, cycle_month)
+        query = query.where(Transaction.date >= start, Transaction.date < end)
+
+    rows = session.exec(query).all()
+    return [
+        DailySpending(date=str(day), total=float(total), count=count)
+        for day, total, count in rows
+    ]