Complete Phase 3, Phase 5 polish and hardening
Phase 3 — Investments: - Multi-currency support: holdings track purchase currency, FX rates convert to base for totals - Capital gains report using UK Section 104 pool method, grouped by tax year - Capital Gains tab added to Reports page Phase 5 — Polish & Hardening: - Mobile-responsive layout: bottom nav, sidebar hidden on mobile, logo in TopBar, compact header buttons, hover-only actions now always visible on touch - Backup system: encrypted GPG backups via backup.sh, nightly scheduler job, admin API (list/trigger/download/restore), Settings UI with drag-to-restore confirmation - Docker entrypoint with gosu privilege drop to fix bind-mount ownership on fresh deployments - OWASP fixes: refresh token now bound to its session (new refresh_token_hash column + migration), CSRF secure flag tied to environment, IP-level rate limiting on login, TOTPEnableRequest Pydantic schema replaces raw dict - AES-256-GCM key rotation script (rotate_keys.py) with dry-run mode and atomic DB transaction - CLAUDE.md added for AI-assisted development context - README updated: correct reverse proxy port, accurate backup/restore commands, key rotation instructions Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
parent
74e57a35c0
commit
fe4e69b9ad
40 changed files with 2079 additions and 127 deletions
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@ -137,6 +137,7 @@ async def _create_session(
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session = Session(
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user_id=user.id,
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token_hash=hash_token(access_token),
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refresh_token_hash=hash_token(refresh_token),
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ip_address=ip,
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user_agent=user_agent,
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last_active_at=now,
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@ -10,11 +10,14 @@ from app.db.models.asset_price import AssetPrice
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from app.db.models.investment_holding import InvestmentHolding
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from app.db.models.investment_transaction import InvestmentTransaction
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from app.schemas.investment import (
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CapitalGainsDisposal,
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CapitalGainsReport,
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HoldingCreate,
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HoldingResponse,
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InvestmentTxnCreate,
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PerformanceMetrics,
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PortfolioSummary,
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TaxYearSummary,
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)
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@ -23,10 +26,37 @@ async def _get_asset(db: AsyncSession, asset_id: uuid.UUID) -> Asset | None:
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return result.scalar_one_or_none()
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def _holding_to_response(holding: InvestmentHolding, asset: Asset) -> HoldingResponse:
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async def _fetch_fx_rate(db: AsyncSession, from_currency: str, to_currency: str) -> Decimal:
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if from_currency == to_currency:
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return Decimal("1")
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from app.db.models.currency import ExchangeRate
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result = await db.execute(
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select(ExchangeRate)
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.where(ExchangeRate.base_currency == from_currency, ExchangeRate.quote_currency == to_currency)
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.order_by(ExchangeRate.fetched_at.desc())
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.limit(1)
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)
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er = result.scalar_one_or_none()
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return er.rate if er else Decimal("1")
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def _holding_to_response(
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holding: InvestmentHolding,
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asset: Asset,
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fx_rates: dict[tuple[str, str], Decimal] | None = None,
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) -> HoldingResponse:
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fx_rates = fx_rates or {}
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cost_basis_total = holding.quantity * holding.avg_cost_basis
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current_price = asset.last_price
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current_value = holding.quantity * current_price if current_price else None
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# Convert asset's last_price to the holding's currency so P&L is comparable
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current_price_native = asset.last_price
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if current_price_native is not None and asset.currency != holding.currency:
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rate = fx_rates.get((asset.currency, holding.currency), Decimal("1"))
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current_price = current_price_native * rate
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else:
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current_price = current_price_native
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current_value = holding.quantity * current_price if current_price is not None else None
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unrealised_gain = (current_value - cost_basis_total) if current_value is not None else None
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unrealised_gain_pct = None
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if unrealised_gain is not None and cost_basis_total > 0:
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@ -51,7 +81,7 @@ def _holding_to_response(holding: InvestmentHolding, asset: Asset) -> HoldingRes
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)
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async def get_portfolio(db: AsyncSession, user_id: uuid.UUID) -> PortfolioSummary:
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async def get_portfolio(db: AsyncSession, user_id: uuid.UUID, base_currency: str = "GBP") -> PortfolioSummary:
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result = await db.execute(
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select(InvestmentHolding).where(
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InvestmentHolding.user_id == user_id,
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@ -60,19 +90,44 @@ async def get_portfolio(db: AsyncSession, user_id: uuid.UUID) -> PortfolioSummar
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)
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holdings = result.scalars().all()
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# Pre-fetch all assets and determine which FX pairs we need
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assets: dict[uuid.UUID, Asset] = {}
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for h in holdings:
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if h.asset_id not in assets:
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asset = await _get_asset(db, h.asset_id)
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if asset:
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assets[h.asset_id] = asset
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pairs_needed: set[tuple[str, str]] = set()
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for h in holdings:
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asset = assets.get(h.asset_id)
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if not asset:
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continue
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if asset.currency != h.currency:
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pairs_needed.add((asset.currency, h.currency))
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if h.currency != base_currency:
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pairs_needed.add((h.currency, base_currency))
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fx_rates: dict[tuple[str, str], Decimal] = {}
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for from_curr, to_curr in pairs_needed:
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fx_rates[(from_curr, to_curr)] = await _fetch_fx_rate(db, from_curr, to_curr)
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responses = []
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total_value = Decimal("0")
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total_cost = Decimal("0")
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for h in holdings:
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asset = await _get_asset(db, h.asset_id)
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asset = assets.get(h.asset_id)
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if not asset:
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continue
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r = _holding_to_response(h, asset)
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r = _holding_to_response(h, asset, fx_rates)
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responses.append(r)
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total_cost += r.cost_basis_total
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# Convert each holding to base_currency for the portfolio totals
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to_base = fx_rates.get((h.currency, base_currency), Decimal("1")) if h.currency != base_currency else Decimal("1")
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total_cost += r.cost_basis_total * to_base
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if r.current_value is not None:
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total_value += r.current_value
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total_value += r.current_value * to_base
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total_gain = total_value - total_cost
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total_gain_pct = (total_gain / total_cost * 100).quantize(Decimal("0.01")) if total_cost > 0 else Decimal("0")
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@ -82,7 +137,7 @@ async def get_portfolio(db: AsyncSession, user_id: uuid.UUID) -> PortfolioSummar
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total_cost=total_cost,
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total_gain=total_gain,
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total_gain_pct=total_gain_pct,
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currency="GBP",
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currency=base_currency,
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holdings=responses,
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)
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@ -189,18 +244,131 @@ async def list_investment_transactions(
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return list(result.scalars().all())
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async def get_performance(db: AsyncSession, user_id: uuid.UUID) -> PerformanceMetrics:
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portfolio = await get_portfolio(db, user_id)
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async def get_performance(db: AsyncSession, user_id: uuid.UUID, base_currency: str = "GBP") -> PerformanceMetrics:
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portfolio = await get_portfolio(db, user_id, base_currency)
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total_return = portfolio.total_gain
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total_return_pct = portfolio.total_gain_pct
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return PerformanceMetrics(
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twrr=None, # full TWRR requires snapshot history — placeholder
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total_return=total_return,
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total_return_pct=total_return_pct,
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currency="GBP",
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currency=base_currency,
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)
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def _uk_tax_year(d: date) -> str:
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"""Return the UK tax year string for a given date (e.g. '2024/25')."""
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if d >= date(d.year, 4, 6):
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return f"{d.year}/{str(d.year + 1)[2:]}"
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return f"{d.year - 1}/{str(d.year)[2:]}"
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async def get_capital_gains(
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db: AsyncSession, user_id: uuid.UUID, base_currency: str = "GBP"
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) -> CapitalGainsReport:
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"""
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Compute capital gains using the UK Section 104 pool method.
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Each asset's transactions are replayed chronologically; on each sell
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the cost of disposal is (sold_qty / pool_qty) * pool_cost.
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All values are converted to base_currency using current FX rates.
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"""
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holdings_result = await db.execute(
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select(InvestmentHolding).where(InvestmentHolding.user_id == user_id)
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)
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holdings = holdings_result.scalars().all()
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# Pre-fetch assets and FX rates
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assets: dict[uuid.UUID, Asset] = {}
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holding_currencies: set[str] = set()
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for h in holdings:
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if h.asset_id not in assets:
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a = await _get_asset(db, h.asset_id)
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if a:
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assets[h.asset_id] = a
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holding_currencies.add(h.currency)
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fx_rates: dict[tuple[str, str], Decimal] = {}
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for curr in holding_currencies:
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if curr != base_currency:
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fx_rates[(curr, base_currency)] = await _fetch_fx_rate(db, curr, base_currency)
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disposals_by_year: dict[str, list[CapitalGainsDisposal]] = {}
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for h in holdings:
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asset = assets.get(h.asset_id)
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if not asset:
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continue
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txns_result = await db.execute(
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select(InvestmentTransaction)
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.where(InvestmentTransaction.holding_id == h.id)
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.order_by(InvestmentTransaction.date.asc(), InvestmentTransaction.created_at.asc())
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)
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txns = txns_result.scalars().all()
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pool_qty = Decimal("0")
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pool_cost = Decimal("0") # in holding.currency
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for txn in txns:
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if txn.type in ("buy", "transfer_in"):
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cost_of_purchase = txn.quantity * txn.price + txn.fees
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pool_qty += txn.quantity
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pool_cost += cost_of_purchase
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elif txn.type in ("sell", "transfer_out") and pool_qty > 0:
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sell_qty = min(txn.quantity, pool_qty)
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cost_per_unit = pool_cost / pool_qty
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cost_of_disposal = cost_per_unit * sell_qty
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proceeds = txn.price * sell_qty - txn.fees
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# Convert to base_currency
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to_base = fx_rates.get((h.currency, base_currency), Decimal("1")) if h.currency != base_currency else Decimal("1")
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proceeds_base = (proceeds * to_base).quantize(Decimal("0.01"))
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cost_base = (cost_of_disposal * to_base).quantize(Decimal("0.01"))
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gain_base = proceeds_base - cost_base
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tax_year = _uk_tax_year(txn.date)
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disposals_by_year.setdefault(tax_year, []).append(
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CapitalGainsDisposal(
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date=txn.date,
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symbol=asset.symbol,
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asset_name=asset.name,
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quantity=sell_qty,
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proceeds=proceeds_base,
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cost=cost_base,
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gain=gain_base,
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currency=base_currency,
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)
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)
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pool_qty -= sell_qty
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pool_cost -= cost_of_disposal
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if pool_qty <= 0:
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pool_qty = Decimal("0")
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pool_cost = Decimal("0")
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elif txn.type == "split" and txn.price > 0:
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pool_qty = pool_qty * txn.quantity
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# pool_cost stays the same; avg cost per unit changes
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tax_years: list[TaxYearSummary] = []
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for year_label in sorted(disposals_by_year.keys(), reverse=True):
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year_disposals = sorted(disposals_by_year[year_label], key=lambda d: d.date)
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total_proceeds = sum(d.proceeds for d in year_disposals)
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total_cost = sum(d.cost for d in year_disposals)
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total_gain = total_proceeds - total_cost
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tax_years.append(TaxYearSummary(
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tax_year=year_label,
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disposals=year_disposals,
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total_proceeds=total_proceeds,
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total_cost=total_cost,
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total_gain=total_gain,
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currency=base_currency,
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))
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return CapitalGainsReport(tax_years=tax_years, currency=base_currency)
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async def get_or_create_asset(
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db: AsyncSession, symbol: str, name: str, asset_type: str,
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currency: str, data_source: str, data_source_id: str | None,
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@ -26,6 +26,8 @@ from app.schemas.report import (
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IncomeExpenseReport,
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NetWorthPoint,
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NetWorthReport,
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SavingsRatePoint,
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SavingsRateReport,
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SpendingTrendPoint,
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SpendingTrendsReport,
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)
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@ -402,6 +404,50 @@ async def get_balance_sheet(
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)
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async def get_savings_rate_report(
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db: AsyncSession, user_id: uuid.UUID, months: int = 12
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) -> SavingsRateReport:
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cutoff = date.today().replace(day=1) - relativedelta(months=months - 1)
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result = await db.execute(
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text("""
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SELECT
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TO_CHAR(date, 'YYYY-MM') AS month,
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SUM(CASE WHEN type = 'income' THEN amount ELSE 0 END) AS income,
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SUM(CASE WHEN type = 'expense' THEN ABS(amount) ELSE 0 END) AS expenses
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FROM transactions
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WHERE user_id = CAST(:uid AS uuid)
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AND status != 'void'
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AND deleted_at IS NULL
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AND date >= :cutoff
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GROUP BY TO_CHAR(date, 'YYYY-MM')
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ORDER BY month ASC
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""").bindparams(uid=str(user_id), cutoff=cutoff)
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)
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rows = result.fetchall()
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points = []
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for row in rows:
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inc = Decimal(str(row.income or 0))
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exp = Decimal(str(row.expenses or 0))
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savings = inc - exp
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rate = (savings / inc * 100).quantize(Decimal("0.01")) if inc > 0 else Decimal("0")
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points.append(SavingsRatePoint(
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month=row.month,
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income=inc,
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expenses=exp,
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savings=savings,
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savings_rate=rate,
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))
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n = len(points) or 1
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avg_rate = sum(p.savings_rate for p in points) / n
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return SavingsRateReport(
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points=points,
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avg_savings_rate=avg_rate.quantize(Decimal("0.01")),
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currency="GBP",
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)
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async def take_net_worth_snapshot(db: AsyncSession, user_id: uuid.UUID, base_currency: str) -> None:
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today = date.today()
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existing = await db.execute(
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@ -144,6 +144,8 @@ async def list_transactions(
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conditions.append(Transaction.amount >= filters.min_amount)
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if filters.max_amount is not None:
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conditions.append(Transaction.amount <= filters.max_amount)
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if filters.is_recurring is not None:
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conditions.append(Transaction.is_recurring == filters.is_recurring)
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query = select(Transaction).where(and_(*conditions)).order_by(Transaction.date.desc(), Transaction.created_at.desc())
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