diff --git a/.github/workflows/claude.yml b/.github/workflows/claude.yml index d300267f..6b15fac7 100644 --- a/.github/workflows/claude.yml +++ b/.github/workflows/claude.yml @@ -46,5 +46,5 @@ jobs: # Optional: Add claude_args to customize behavior and configuration # See https://github.com/anthropics/claude-code-action/blob/main/docs/usage.md # or https://code.claude.com/docs/en/cli-reference for available options - # claude_args: '--allowed-tools Bash(gh pr:*)' + # claude_args: '--allowed-tools Bash(gh pr *)' diff --git a/.gitignore b/.gitignore index b7faf403..9922f687 100644 --- a/.gitignore +++ b/.gitignore @@ -205,3 +205,16 @@ cython_debug/ marimo/_static/ marimo/_lsp/ __marimo__/ + +# FinAlly project-specific +# Runtime SQLite databases (schema lives in backend/app/db, data is volatile) +db/*.db +db/*.db-journal +backend/db/*.db +backend/db/*.db-journal + +# Playwright MCP scratch data +.playwright-mcp/ + +# Ad-hoc screenshots saved at repo root +/finally-*.png diff --git a/README.md b/README.md index 3f2582ae..9ea36ffe 100644 --- a/README.md +++ b/README.md @@ -1,62 +1,65 @@ # FinAlly — AI Trading Workstation -A visually stunning AI-powered trading workstation that streams live market data, simulates portfolio trading, and integrates an LLM chat assistant that can analyze positions and execute trades via natural language. +An AI-powered trading workstation that streams live market data, simulates a $10k portfolio, and ships with an LLM chat assistant that can analyze positions and execute approved trades via natural language. -Built entirely by coding agents as a capstone project for an agentic AI coding course. +Built as the capstone project for an agentic AI coding course. The full specification lives in [`planning/PLAN.md`](planning/PLAN.md). -## Features +## Stack -- **Live price streaming** via SSE with green/red flash animations -- **Simulated portfolio** — $10k virtual cash, market orders, instant fills -- **Portfolio visualizations** — heatmap (treemap), P&L chart, positions table -- **AI chat assistant** — analyzes holdings, suggests and auto-executes trades -- **Watchlist management** — track tickers manually or via AI -- **Dark terminal aesthetic** — Bloomberg-inspired, data-dense layout +- **Backend** — FastAPI (Python 3.12+, managed with `uv`), SQLite, SSE streaming +- **Frontend** — Next.js 15 + React 19, TypeScript, Tailwind CSS, TradingView Lightweight Charts, Recharts +- **AI** — LiteLLM → OpenRouter (`openrouter/openai/gpt-oss-120b`) with structured outputs +- **Market data** — In-process GBM simulator by default, optional Massive REST client -## Architecture +## Running Locally -Single Docker container serving everything on port 8000: +Configure environment variables at the repo root in `.env` (all optional): -- **Frontend**: Next.js (static export) with TypeScript and Tailwind CSS -- **Backend**: FastAPI (Python/uv) with SSE streaming -- **Database**: SQLite with lazy initialization -- **AI**: LiteLLM → OpenRouter (Cerebras inference) with structured outputs -- **Market data**: Built-in GBM simulator (default) or Massive API (optional) +```bash +OPENROUTER_API_KEY= # omit to run chat in deterministic mock mode +MASSIVE_API_KEY= # omit to run the built-in simulator +LLM_MOCK=false # true forces mock chat responses +SIMULATOR_SEED= # integer seed for reproducible price paths +``` -## Quick Start +Backend (serves the API on http://localhost:8000): ```bash -# Clone and configure -cp .env.example .env -# Add your OPENROUTER_API_KEY to .env +cd backend +uv sync --extra dev +uv run uvicorn app.main:app --reload +``` -# Run with Docker -docker build -t finally . -docker run -v finally-data:/app/db -p 8000:8000 --env-file .env finally +Frontend (Next.js dev server on http://localhost:3000, proxies to the backend): -# Open http://localhost:8000 +```bash +cd frontend +npm install +npm run dev ``` -## Environment Variables +The backend lazily creates `backend/db/finally.db` on first request and seeds the default watchlist (AAPL, GOOGL, MSFT, AMZN, TSLA, NVDA, META, JPM, V, NFLX), a `default` user profile with $10,000 cash, and an initial portfolio snapshot. -| Variable | Required | Description | -|---|---|---| -| `OPENROUTER_API_KEY` | Yes | OpenRouter API key for AI chat | -| `MASSIVE_API_KEY` | No | Massive (Polygon.io) key for real market data; omit to use simulator | -| `LLM_MOCK` | No | Set `true` for deterministic mock LLM responses (testing) | +## Tests -## Project Structure +```bash +cd backend +uv run --extra dev pytest # full suite +uv run --extra dev ruff check . # lint +``` + +## Repository Layout ``` finally/ -├── frontend/ # Next.js static export -├── backend/ # FastAPI uv project -├── planning/ # Project documentation and agent contracts -├── test/ # Playwright E2E tests -├── db/ # SQLite volume mount (runtime) -└── scripts/ # Start/stop helpers +├── backend/ FastAPI app (app/), schema + seed (db/), pytest suite (tests/) +├── frontend/ Next.js app (app/, components/, lib/) +├── planning/ Project specification — PLAN.md is the source of truth +└── CLAUDE.md Agent instructions ``` +Docker packaging, start/stop scripts, and end-to-end Playwright tests described in `planning/PLAN.md` are not yet in the repo. + ## License See [LICENSE](LICENSE). diff --git a/backend/README.md b/backend/README.md index 7cdd8475..ec54eedb 100644 --- a/backend/README.md +++ b/backend/README.md @@ -10,7 +10,7 @@ FastAPI backend for the FinAlly AI Trading Workstation. - `cache.py` - Thread-safe price cache - `interface.py` - MarketDataSource abstract interface - `simulator.py` - GBM-based market simulator - - `massive_client.py` - Massive/Polygon.io API client + - `massive_client.py` - Massive API client - `factory.py` - Data source factory - `stream.py` - SSE streaming endpoint - `seed_prices.py` - Default ticker prices and parameters @@ -39,7 +39,10 @@ uv run pytest -v ## Environment Variables +- `OPENROUTER_API_KEY` - Optional. If set, use live OpenRouter-backed chat. If not set, chat falls back to deterministic mock mode. +- `LLM_MOCK` - Optional. Set to `true` to force deterministic mock chat responses. - `MASSIVE_API_KEY` - Optional. If set, use real market data from Massive API. If not set, use the built-in simulator. +- `SIMULATOR_SEED` - Optional. Integer RNG seed for deterministic simulator runs in tests. ## Development diff --git a/backend/app/chat_api.py b/backend/app/chat_api.py new file mode 100644 index 00000000..8d9be498 --- /dev/null +++ b/backend/app/chat_api.py @@ -0,0 +1,69 @@ +"""HTTP routes for chat: GET history, POST message.""" + +from __future__ import annotations + +from typing import Any, Literal + +from fastapi import APIRouter, Depends, HTTPException, status +from pydantic import BaseModel, Field + +from . import db +from .llm import service as llm_service +from .state import AppState, get_state + + +class ChatPostRequest(BaseModel): + message: str = Field(..., min_length=1, max_length=4000) + allow_trade_execution: bool = False + + +class ChatMessageResponse(BaseModel): + id: str + role: Literal["user", "assistant"] + content: str + actions: dict[str, Any] | None + created_at: str + + +class ChatPostResponse(BaseModel): + user_message: ChatMessageResponse + assistant_message: ChatMessageResponse + + +router = APIRouter(prefix="/api/chat", tags=["chat"]) + + +def _to_response(msg: db.ChatMessage) -> ChatMessageResponse: + return ChatMessageResponse( + id=msg.id, + role=msg.role, + content=msg.content, + actions=msg.actions, + created_at=msg.created_at, + ) + + +@router.get("", response_model=list[ChatMessageResponse]) +def get_history(limit: int = 50) -> list[ChatMessageResponse]: + if limit < 1 or limit > 500: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="limit must be between 1 and 500", + ) + return [_to_response(m) for m in db.chat.list_recent(limit=limit)] + + +@router.post("", response_model=ChatPostResponse) +async def post_message( + body: ChatPostRequest, state: AppState = Depends(get_state) +) -> ChatPostResponse: + user_row, assistant_row, _ = await llm_service.handle_user_message( + body.message, + state.price_cache, + state.market_source, + allow_trade_execution=body.allow_trade_execution, + ) + return ChatPostResponse( + user_message=_to_response(user_row), + assistant_message=_to_response(assistant_row), + ) diff --git a/backend/app/db/__init__.py b/backend/app/db/__init__.py new file mode 100644 index 00000000..2f1cad71 --- /dev/null +++ b/backend/app/db/__init__.py @@ -0,0 +1,37 @@ +"""FinAlly persistence layer. + +A thin SQLite wrapper. No ORM — just module-level functions per table that take +and return plain dataclasses or primitives. The schema is created and seeded +lazily on first use via `ensure_initialized()`. +""" + +from . import chat, positions, profile, snapshots, trades, watchlist +from .chat import ChatMessage +from .init import ( + DEFAULT_CASH_BALANCE, + DEFAULT_USER_ID, + DEFAULT_WATCHLIST, + ensure_initialized, + reset_initialization_state, +) +from .positions import Position +from .snapshots import Snapshot +from .trades import Trade + +__all__ = [ + "ensure_initialized", + "reset_initialization_state", + "DEFAULT_USER_ID", + "DEFAULT_CASH_BALANCE", + "DEFAULT_WATCHLIST", + "ChatMessage", + "Position", + "Snapshot", + "Trade", + "chat", + "positions", + "profile", + "snapshots", + "trades", + "watchlist", +] diff --git a/backend/app/db/chat.py b/backend/app/db/chat.py new file mode 100644 index 00000000..2c9f846d --- /dev/null +++ b/backend/app/db/chat.py @@ -0,0 +1,77 @@ +"""Chat messages repository.""" + +from __future__ import annotations + +import json +import uuid +from dataclasses import dataclass +from datetime import UTC, datetime +from typing import Any, Literal + +from .connection import connect +from .init import DEFAULT_USER_ID + +Role = Literal["user", "assistant"] + + +@dataclass(frozen=True) +class ChatMessage: + id: str + role: Role + content: str + actions: dict[str, Any] | None + created_at: str + + +def _now() -> str: + return datetime.now(UTC).isoformat() + + +def append_message( + role: Role, + content: str, + actions: dict[str, Any] | None = None, + user_id: str = DEFAULT_USER_ID, +) -> ChatMessage: + msg = ChatMessage( + id=str(uuid.uuid4()), + role=role, + content=content, + actions=actions, + created_at=_now(), + ) + with connect() as conn: + conn.execute( + "INSERT INTO chat_messages (id, user_id, role, content, actions, created_at) " + "VALUES (?, ?, ?, ?, ?, ?)", + ( + msg.id, user_id, msg.role, msg.content, + json.dumps(actions) if actions is not None else None, + msg.created_at, + ), + ) + return msg + + +def list_recent(limit: int = 50, user_id: str = DEFAULT_USER_ID) -> list[ChatMessage]: + """Return up to `limit` most recent messages, oldest-first (chat-render order).""" + with connect() as conn: + rows = conn.execute( + "SELECT id, role, content, actions, created_at FROM chat_messages " + "WHERE user_id = ? ORDER BY created_at DESC LIMIT ?", + (user_id, limit), + ).fetchall() + + out: list[ChatMessage] = [] + for r in reversed(rows): + actions = json.loads(r["actions"]) if r["actions"] else None + out.append( + ChatMessage( + id=r["id"], + role=r["role"], + content=r["content"], + actions=actions, + created_at=r["created_at"], + ) + ) + return out diff --git a/backend/app/db/connection.py b/backend/app/db/connection.py new file mode 100644 index 00000000..36b70d94 --- /dev/null +++ b/backend/app/db/connection.py @@ -0,0 +1,39 @@ +"""SQLite connection management.""" + +from __future__ import annotations + +import os +import sqlite3 +from collections.abc import Iterator +from contextlib import contextmanager +from pathlib import Path + +DEFAULT_DB_PATH = "db/finally.db" +DB_PATH_ENV = "FINALLY_DB_PATH" + + +def get_db_path() -> str: + """Resolve the SQLite file path. Honors $FINALLY_DB_PATH, else 'db/finally.db'.""" + return os.environ.get(DB_PATH_ENV, DEFAULT_DB_PATH) + + +def _connect(path: str) -> sqlite3.Connection: + """Open a connection with WAL + foreign keys enabled. Creates parent dirs as needed.""" + if path != ":memory:": + Path(path).parent.mkdir(parents=True, exist_ok=True) + conn = sqlite3.connect(path, check_same_thread=False, isolation_level=None) + conn.row_factory = sqlite3.Row + conn.execute("PRAGMA foreign_keys = ON") + if path != ":memory:": + conn.execute("PRAGMA journal_mode = WAL") + return conn + + +@contextmanager +def connect(path: str | None = None) -> Iterator[sqlite3.Connection]: + """Yield a connection scoped to a single operation. Closes on exit.""" + conn = _connect(path or get_db_path()) + try: + yield conn + finally: + conn.close() diff --git a/backend/app/db/init.py b/backend/app/db/init.py new file mode 100644 index 00000000..50be9aaf --- /dev/null +++ b/backend/app/db/init.py @@ -0,0 +1,81 @@ +"""Lazy database initialization: create schema and seed defaults on first use.""" + +from __future__ import annotations + +import sqlite3 +import uuid +from datetime import UTC, datetime +from pathlib import Path +from threading import Lock + +from .connection import connect, get_db_path + +DEFAULT_USER_ID = "default" +DEFAULT_CASH_BALANCE = 10_000.0 +DEFAULT_WATCHLIST = [ + "AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", + "NVDA", "META", "JPM", "V", "NFLX", +] + +_SCHEMA_FILE = Path(__file__).parent / "schema.sql" +_init_lock = Lock() +_initialized_paths: set[str] = set() + + +def _now() -> str: + return datetime.now(UTC).isoformat() + + +def _apply_schema(conn: sqlite3.Connection) -> None: + conn.executescript(_SCHEMA_FILE.read_text()) + + +def _seed_defaults(conn: sqlite3.Connection) -> None: + """One-time seed: only fires when the DB is fresh (no default user_profile row). + + Once the user has interacted with the app, we never re-seed — otherwise removed + watchlist tickers would silently come back after a restart. + """ + existing = conn.execute( + "SELECT 1 FROM user_profile WHERE id = ?", (DEFAULT_USER_ID,) + ).fetchone() + if existing is not None: + return + + seeded_at = _now() + conn.execute( + "INSERT INTO user_profile (id, cash_balance, created_at) VALUES (?, ?, ?)", + (DEFAULT_USER_ID, DEFAULT_CASH_BALANCE, seeded_at), + ) + for ticker in DEFAULT_WATCHLIST: + conn.execute( + "INSERT OR IGNORE INTO watchlist (id, user_id, ticker, added_at) VALUES (?, ?, ?, ?)", + (str(uuid.uuid4()), DEFAULT_USER_ID, ticker, _now()), + ) + conn.execute( + "INSERT INTO portfolio_snapshots (id, user_id, total_value, recorded_at) " + "VALUES (?, ?, ?, ?)", + (str(uuid.uuid4()), DEFAULT_USER_ID, DEFAULT_CASH_BALANCE, seeded_at), + ) + + +def ensure_initialized(path: str | None = None) -> None: + """Create schema and seed defaults if not already done for this DB path. + + Safe to call repeatedly; the first call per path does the work, subsequent calls are no-ops. + Thread-safe via a module-level lock. + """ + resolved = path or get_db_path() + with _init_lock: + if resolved in _initialized_paths: + return + with connect(resolved) as conn: + _apply_schema(conn) + _seed_defaults(conn) + _initialized_paths.add(resolved) + + +def reset_initialization_state() -> None: + """Test helper: clear the per-path initialized cache so tests can re-init.""" + with _init_lock: + _initialized_paths.clear() diff --git a/backend/app/db/positions.py b/backend/app/db/positions.py new file mode 100644 index 00000000..ca7af5dc --- /dev/null +++ b/backend/app/db/positions.py @@ -0,0 +1,84 @@ +"""Positions repository.""" + +from __future__ import annotations + +import uuid +from dataclasses import dataclass +from datetime import UTC, datetime + +from .connection import connect +from .init import DEFAULT_USER_ID + + +@dataclass(frozen=True) +class Position: + ticker: str + quantity: float + avg_cost: float + updated_at: str + + +def _now() -> str: + return datetime.now(UTC).isoformat() + + +def list_positions(user_id: str = DEFAULT_USER_ID) -> list[Position]: + with connect() as conn: + rows = conn.execute( + "SELECT ticker, quantity, avg_cost, updated_at FROM positions " + "WHERE user_id = ? AND quantity > 0 ORDER BY ticker ASC", + (user_id,), + ).fetchall() + return [ + Position( + ticker=r["ticker"], + quantity=float(r["quantity"]), + avg_cost=float(r["avg_cost"]), + updated_at=r["updated_at"], + ) + for r in rows + ] + + +def get_position(ticker: str, user_id: str = DEFAULT_USER_ID) -> Position | None: + with connect() as conn: + row = conn.execute( + "SELECT ticker, quantity, avg_cost, updated_at FROM positions " + "WHERE user_id = ? AND ticker = ?", + (user_id, ticker.upper()), + ).fetchone() + if row is None: + return None + return Position( + ticker=row["ticker"], + quantity=float(row["quantity"]), + avg_cost=float(row["avg_cost"]), + updated_at=row["updated_at"], + ) + + +def upsert_position( + ticker: str, quantity: float, avg_cost: float, user_id: str = DEFAULT_USER_ID +) -> None: + """Insert or update a position. Uses ON CONFLICT for idempotent upsert.""" + ticker = ticker.upper() + with connect() as conn: + conn.execute( + """ + INSERT INTO positions (id, user_id, ticker, quantity, avg_cost, updated_at) + VALUES (?, ?, ?, ?, ?, ?) + ON CONFLICT(user_id, ticker) DO UPDATE SET + quantity = excluded.quantity, + avg_cost = excluded.avg_cost, + updated_at = excluded.updated_at + """, + (str(uuid.uuid4()), user_id, ticker, quantity, avg_cost, _now()), + ) + + +def delete_position(ticker: str, user_id: str = DEFAULT_USER_ID) -> None: + with connect() as conn: + conn.execute( + "DELETE FROM positions WHERE user_id = ? AND ticker = ?", + (user_id, ticker.upper()), + ) diff --git a/backend/app/db/profile.py b/backend/app/db/profile.py new file mode 100644 index 00000000..1e94af4c --- /dev/null +++ b/backend/app/db/profile.py @@ -0,0 +1,23 @@ +"""User profile (cash balance) repository.""" + +from __future__ import annotations + +from .connection import connect +from .init import DEFAULT_USER_ID + + +def get_cash_balance(user_id: str = DEFAULT_USER_ID) -> float: + with connect() as conn: + row = conn.execute( + "SELECT cash_balance FROM user_profile WHERE id = ?", (user_id,) + ).fetchone() + if row is None: + raise ValueError(f"No profile for user_id={user_id!r}") + return float(row["cash_balance"]) + + +def set_cash_balance(amount: float, user_id: str = DEFAULT_USER_ID) -> None: + with connect() as conn: + conn.execute( + "UPDATE user_profile SET cash_balance = ? WHERE id = ?", (amount, user_id) + ) diff --git a/backend/app/db/schema.sql b/backend/app/db/schema.sql new file mode 100644 index 00000000..3f3a8ac7 --- /dev/null +++ b/backend/app/db/schema.sql @@ -0,0 +1,56 @@ +-- FinAlly schema. All tables idempotent; lazy-initialized on first connection. +-- All tables include user_id (default 'default') to keep the door open for multi-user later. + +CREATE TABLE IF NOT EXISTS user_profile ( + id TEXT PRIMARY KEY, + cash_balance REAL NOT NULL DEFAULT 10000.0, + created_at TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS watchlist ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + ticker TEXT NOT NULL, + added_at TEXT NOT NULL, + UNIQUE (user_id, ticker) +); + +CREATE TABLE IF NOT EXISTS positions ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + ticker TEXT NOT NULL, + quantity REAL NOT NULL, + avg_cost REAL NOT NULL, + updated_at TEXT NOT NULL, + UNIQUE (user_id, ticker) +); + +CREATE TABLE IF NOT EXISTS trades ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + ticker TEXT NOT NULL, + side TEXT NOT NULL CHECK (side IN ('buy', 'sell')), + quantity REAL NOT NULL, + price REAL NOT NULL, + executed_at TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS portfolio_snapshots ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + total_value REAL NOT NULL, + recorded_at TEXT NOT NULL +); + +CREATE TABLE IF NOT EXISTS chat_messages ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + role TEXT NOT NULL CHECK (role IN ('user', 'assistant')), + content TEXT NOT NULL, + actions TEXT, + created_at TEXT NOT NULL +); + +CREATE INDEX IF NOT EXISTS idx_trades_user_time ON trades(user_id, executed_at); +CREATE INDEX IF NOT EXISTS idx_snapshots_user_time ON portfolio_snapshots(user_id, recorded_at); +CREATE INDEX IF NOT EXISTS idx_chat_user_time ON chat_messages(user_id, created_at); diff --git a/backend/app/db/snapshots.py b/backend/app/db/snapshots.py new file mode 100644 index 00000000..769328d1 --- /dev/null +++ b/backend/app/db/snapshots.py @@ -0,0 +1,102 @@ +"""Portfolio snapshot repository (P&L chart history) with retention policy.""" + +from __future__ import annotations + +import uuid +from dataclasses import dataclass +from datetime import UTC, datetime, timedelta + +from .connection import connect +from .init import DEFAULT_USER_ID + +# Retention policy (per PLAN.md §7): +# - Full 30s resolution kept for the last 24 hours +# - 24h–30d downsampled to one row per 5-minute bucket +# - >30d deleted +RETENTION_FULL_RES_HOURS = 24 +RETENTION_DOWNSAMPLE_BUCKET_MINUTES = 5 +RETENTION_MAX_AGE_DAYS = 30 + + +@dataclass(frozen=True) +class Snapshot: + total_value: float + recorded_at: str + + +def _now() -> str: + return datetime.now(UTC).isoformat() + + +def record_snapshot(total_value: float, user_id: str = DEFAULT_USER_ID) -> Snapshot: + snap = Snapshot(total_value=total_value, recorded_at=_now()) + with connect() as conn: + conn.execute( + "INSERT INTO portfolio_snapshots (id, user_id, total_value, recorded_at) " + "VALUES (?, ?, ?, ?)", + (str(uuid.uuid4()), user_id, snap.total_value, snap.recorded_at), + ) + return snap + + +def list_history(user_id: str = DEFAULT_USER_ID) -> list[Snapshot]: + """Return snapshots ascending by time (suitable for direct chart rendering).""" + with connect() as conn: + rows = conn.execute( + "SELECT total_value, recorded_at FROM portfolio_snapshots " + "WHERE user_id = ? ORDER BY recorded_at ASC", + (user_id,), + ).fetchall() + return [ + Snapshot(total_value=float(r["total_value"]), recorded_at=r["recorded_at"]) + for r in rows + ] + + +def apply_retention(user_id: str = DEFAULT_USER_ID) -> dict[str, int]: + """Enforce the retention policy. Returns counts {downsampled, deleted}. + + Strategy: + 1. Delete rows older than RETENTION_MAX_AGE_DAYS. + 2. For rows in [24h, 30d], keep only one per 5-minute bucket (oldest in bucket wins + to preserve the earliest sample's timestamp; values within a 5-min bucket are + within rounding noise for a daily P&L chart). + """ + now = datetime.now(UTC) + delete_before = (now - timedelta(days=RETENTION_MAX_AGE_DAYS)).isoformat() + downsample_before = (now - timedelta(hours=RETENTION_FULL_RES_HOURS)).isoformat() + bucket_seconds = RETENTION_DOWNSAMPLE_BUCKET_MINUTES * 60 + + with connect() as conn: + deleted_cursor = conn.execute( + "DELETE FROM portfolio_snapshots WHERE user_id = ? AND recorded_at < ?", + (user_id, delete_before), + ) + deleted = deleted_cursor.rowcount + + # Downsample older-than-24h rows: keep the earliest row in each 5-minute bucket. + # SQLite has no datetime arithmetic on ISO-8601 strings reliably, so do it in Python. + rows = conn.execute( + "SELECT id, recorded_at FROM portfolio_snapshots " + "WHERE user_id = ? AND recorded_at < ? ORDER BY recorded_at ASC", + (user_id, downsample_before), + ).fetchall() + + seen_buckets: set[int] = set() + to_delete: list[str] = [] + for row in rows: + ts = datetime.fromisoformat(row["recorded_at"]).timestamp() + bucket = int(ts // bucket_seconds) + if bucket in seen_buckets: + to_delete.append(row["id"]) + else: + seen_buckets.add(bucket) + + if to_delete: + placeholders = ",".join("?" * len(to_delete)) + conn.execute( + f"DELETE FROM portfolio_snapshots WHERE id IN ({placeholders})", + to_delete, + ) + + return {"deleted": deleted, "downsampled": len(to_delete)} diff --git a/backend/app/db/trades.py b/backend/app/db/trades.py new file mode 100644 index 00000000..d4985024 --- /dev/null +++ b/backend/app/db/trades.py @@ -0,0 +1,76 @@ +"""Trades repository (append-only log).""" + +from __future__ import annotations + +import uuid +from dataclasses import dataclass +from datetime import UTC, datetime +from typing import Literal + +from .connection import connect +from .init import DEFAULT_USER_ID + +Side = Literal["buy", "sell"] + + +@dataclass(frozen=True) +class Trade: + id: str + ticker: str + side: Side + quantity: float + price: float + executed_at: str + + +def _now() -> str: + return datetime.now(UTC).isoformat() + + +def record_trade( + ticker: str, + side: Side, + quantity: float, + price: float, + user_id: str = DEFAULT_USER_ID, +) -> Trade: + trade = Trade( + id=str(uuid.uuid4()), + ticker=ticker.upper(), + side=side, + quantity=quantity, + price=price, + executed_at=_now(), + ) + with connect() as conn: + conn.execute( + """ + INSERT INTO trades (id, user_id, ticker, side, quantity, price, executed_at) + VALUES (?, ?, ?, ?, ?, ?, ?) + """, + ( + trade.id, user_id, trade.ticker, trade.side, + trade.quantity, trade.price, trade.executed_at, + ), + ) + return trade + + +def list_recent(limit: int = 100, user_id: str = DEFAULT_USER_ID) -> list[Trade]: + with connect() as conn: + rows = conn.execute( + "SELECT id, ticker, side, quantity, price, executed_at FROM trades " + "WHERE user_id = ? ORDER BY executed_at DESC LIMIT ?", + (user_id, limit), + ).fetchall() + return [ + Trade( + id=r["id"], + ticker=r["ticker"], + side=r["side"], + quantity=float(r["quantity"]), + price=float(r["price"]), + executed_at=r["executed_at"], + ) + for r in rows + ] diff --git a/backend/app/db/watchlist.py b/backend/app/db/watchlist.py new file mode 100644 index 00000000..29bd7299 --- /dev/null +++ b/backend/app/db/watchlist.py @@ -0,0 +1,50 @@ +"""Watchlist repository.""" + +from __future__ import annotations + +import sqlite3 +import uuid +from datetime import UTC, datetime + +from .connection import connect +from .init import DEFAULT_USER_ID + + +def _now() -> str: + return datetime.now(UTC).isoformat() + + +def list_tickers(user_id: str = DEFAULT_USER_ID) -> list[str]: + with connect() as conn: + rows = conn.execute( + "SELECT ticker FROM watchlist WHERE user_id = ? ORDER BY added_at ASC", + (user_id,), + ).fetchall() + return [r["ticker"] for r in rows] + + +def add_ticker(ticker: str, user_id: str = DEFAULT_USER_ID) -> bool: + """Add a ticker. Returns True if newly added, False if it was already present.""" + ticker = ticker.upper().strip() + if not ticker: + raise ValueError("ticker must be non-empty") + with connect() as conn: + try: + conn.execute( + "INSERT INTO watchlist (id, user_id, ticker, added_at) VALUES (?, ?, ?, ?)", + (str(uuid.uuid4()), user_id, ticker, _now()), + ) + return True + except sqlite3.IntegrityError: + return False + + +def remove_ticker(ticker: str, user_id: str = DEFAULT_USER_ID) -> bool: + """Remove a ticker. Returns True if a row was removed, False if it didn't exist.""" + ticker = ticker.upper().strip() + with connect() as conn: + cursor = conn.execute( + "DELETE FROM watchlist WHERE user_id = ? AND ticker = ?", + (user_id, ticker), + ) + return cursor.rowcount > 0 diff --git a/backend/app/llm/__init__.py b/backend/app/llm/__init__.py new file mode 100644 index 00000000..6e8f6e38 --- /dev/null +++ b/backend/app/llm/__init__.py @@ -0,0 +1,25 @@ +"""LLM integration: structured-output chat with auto-executed trades + watchlist actions.""" + +from . import client, mock, prompt, schema, service +from .schema import ( + ChatActions, + LLMResponse, + TradeActionResult, + TradeRequest, + WatchlistActionResult, + WatchlistChange, +) + +__all__ = [ + "client", + "mock", + "prompt", + "schema", + "service", + "ChatActions", + "LLMResponse", + "TradeActionResult", + "TradeRequest", + "WatchlistActionResult", + "WatchlistChange", +] diff --git a/backend/app/llm/client.py b/backend/app/llm/client.py new file mode 100644 index 00000000..f1e46dc4 --- /dev/null +++ b/backend/app/llm/client.py @@ -0,0 +1,53 @@ +"""Thin wrapper around LiteLLM → OpenRouter → Cerebras with structured output. + +Mock mode (LLM_MOCK=true) bypasses the network entirely — see `mock.py`. +""" + +from __future__ import annotations + +import logging +import os + +from litellm import completion + +from .mock import mock_response +from .schema import LLMResponse + +logger = logging.getLogger(__name__) + +MODEL = "openrouter/openai/gpt-oss-120b" +EXTRA_BODY = {"provider": {"order": ["cerebras"]}} +MOCK_ENV = "LLM_MOCK" +API_KEY_ENV = "OPENROUTER_API_KEY" + + +def is_mock_enabled() -> bool: + return os.environ.get(MOCK_ENV, "").strip().lower() == "true" + + +def has_api_key() -> bool: + return bool(os.environ.get(API_KEY_ENV, "").strip()) + + +def complete_chat(messages: list[dict[str, str]], user_message: str) -> LLMResponse: + """Call the LLM and return a validated LLMResponse. + + `messages` is the full prompt list (system + portfolio context + history + new user msg). + `user_message` is the latest raw user input — used by mock mode for pattern matching. + """ + if is_mock_enabled(): + logger.info("LLM_MOCK enabled — using deterministic mock response") + return mock_response(user_message) + if not has_api_key(): + logger.warning("%s missing — falling back to deterministic mock mode", API_KEY_ENV) + return mock_response(user_message) + + response = completion( + model=MODEL, + messages=messages, + response_format=LLMResponse, + reasoning_effort="low", + extra_body=EXTRA_BODY, + ) + raw = response.choices[0].message.content + return LLMResponse.model_validate_json(raw) diff --git a/backend/app/llm/mock.py b/backend/app/llm/mock.py new file mode 100644 index 00000000..5b20ba46 --- /dev/null +++ b/backend/app/llm/mock.py @@ -0,0 +1,57 @@ +"""Deterministic mock LLM responses for E2E tests and key-less development. + +Pattern-matches a small grammar of common requests. Anything that doesn't match +falls back to a generic conversational reply with no actions. +""" + +from __future__ import annotations + +import re + +from .schema import LLMResponse, TradeRequest, WatchlistChange + +# "buy 10 AAPL" / "sell 0.5 NVDA" +_TRADE_RE = re.compile( + r"\b(buy|sell)\s+(\d+(?:\.\d+)?)\s+([A-Za-z]{1,5})\b", re.IGNORECASE +) + +# "add PYPL to watchlist" / "remove TSLA from watchlist" +_WATCH_RE = re.compile( + r"\b(add|remove)\s+([A-Za-z]{1,5})\b(?:.*?(?:to|from)\s+(?:the\s+)?watchlist)?", + re.IGNORECASE, +) + + +def mock_response(user_message: str) -> LLMResponse: + trades: list[TradeRequest] = [] + watchlist_changes: list[WatchlistChange] = [] + + for verb, qty, ticker in _TRADE_RE.findall(user_message): + trades.append(TradeRequest( + ticker=ticker.upper(), + side="buy" if verb.lower() == "buy" else "sell", + quantity=float(qty), + intent="execute", + )) + + for verb, ticker in _WATCH_RE.findall(user_message): + if "watchlist" in user_message.lower(): + watchlist_changes.append(WatchlistChange( + ticker=ticker.upper(), + action="add" if verb.lower() == "add" else "remove", + )) + + if trades or watchlist_changes: + actions: list[str] = [] + for t in trades: + actions.append(f"{t.side} {t.quantity:g} {t.ticker}") + for w in watchlist_changes: + actions.append(f"{w.action} {w.ticker} {'to' if w.action == 'add' else 'from'} watchlist") + message = "Proposed actions: " + ", ".join(actions) + "." + else: + message = ( + "[mock] Chat is running in deterministic mock mode. I can simulate trades like " + "'buy 10 AAPL' or watchlist updates like 'add PYPL to watchlist'." + ) + + return LLMResponse(message=message, trades=trades, watchlist_changes=watchlist_changes) diff --git a/backend/app/llm/prompt.py b/backend/app/llm/prompt.py new file mode 100644 index 00000000..6ebacb35 --- /dev/null +++ b/backend/app/llm/prompt.py @@ -0,0 +1,63 @@ +"""System prompt + portfolio-context formatting for the LLM.""" + +from __future__ import annotations + +from .. import db +from ..market import PriceCache +from ..portfolio import service + +SYSTEM_PROMPT = """You are FinAlly, an AI trading assistant inside a simulated trading workstation. + +You can: + - Analyze the user's portfolio composition, P&L, and risk concentration + - Suggest trades with concrete reasoning grounded in the live data shown to you + - Return trade ideas in the `trades` array + - Manage the watchlist by including entries in `watchlist_changes` + +Style: + - Be concise and data-driven + - When proposing or executing a trade, briefly explain why + - Return BOTH `trades` and `watchlist_changes` as arrays — empty arrays if no action + +Constraints: + - This is simulated money; do not refuse trades on risk grounds — the user has chosen this exposure + - Quantities may be fractional + - All tickers must be uppercase US-listed equities + - Set trade `intent` to `recommend` for analysis, suggestions, or hypothetical ideas + - Set trade `intent` to `execute` only when the user clearly asked to place the order + - Never claim a trade is already filled before the server confirms it +""" + + +def build_portfolio_context(cache: PriceCache) -> str: + """Render the user's current state as a compact text block for the LLM.""" + view = service.get_portfolio_view(cache) + watchlist_tickers = db.watchlist.list_tickers() + + lines = [ + "## Portfolio snapshot", + f"Cash: ${view.cash_balance:,.2f}", + f"Total value: ${view.total_value:,.2f}", + f"Unrealized P&L: ${view.unrealized_pnl:,.2f} ({view.unrealized_pnl_percent:+.2f}%)", + "", + ] + + if view.positions: + lines.append("## Positions") + lines.append("ticker | qty | avg_cost | price | mkt_value | pnl | pnl_%") + for p in view.positions: + price_str = f"${p.current_price:,.2f}" if p.current_price is not None else "n/a" + lines.append( + f"{p.ticker} | {p.quantity:g} | ${p.avg_cost:,.2f} | {price_str} | " + f"${p.market_value:,.2f} | ${p.unrealized_pnl:+,.2f} | {p.unrealized_pnl_percent:+.2f}%" + ) + lines.append("") + else: + lines.append("## Positions: none\n") + + lines.append("## Watchlist (with live prices)") + for ticker in watchlist_tickers: + price = cache.get_price(ticker) + lines.append(f"{ticker}: ${price:,.2f}" if price is not None else f"{ticker}: n/a") + + return "\n".join(lines) diff --git a/backend/app/llm/schema.py b/backend/app/llm/schema.py new file mode 100644 index 00000000..364a9bd2 --- /dev/null +++ b/backend/app/llm/schema.py @@ -0,0 +1,72 @@ +"""Pydantic models for LLM structured output and the action-result envelope.""" + +from __future__ import annotations + +from typing import Literal + +from pydantic import BaseModel, Field + +Side = Literal["buy", "sell"] +TradeIntent = Literal["recommend", "execute"] +TradeActionStatus = Literal["recommended", "approval_required", "executed", "failed"] +WatchlistAction = Literal["add", "remove"] + + +class TradeRequest(BaseModel): + """A single trade the LLM wants to recommend or execute.""" + + ticker: str = Field(..., description="Stock ticker, uppercase") + side: Side + quantity: float = Field(..., gt=0, description="Number of shares (fractional allowed)") + intent: TradeIntent = Field( + default="recommend", + description=( + "'recommend' for analysis-only ideas, 'execute' only when the user clearly asked " + "to place the order" + ), + ) + + +class WatchlistChange(BaseModel): + """A single watchlist add/remove the LLM wants to make.""" + ticker: str = Field(..., description="Stock ticker, uppercase") + action: WatchlistAction + + +class LLMResponse(BaseModel): + """The structured output schema the LLM must return. + + Both arrays are required (may be empty) — see PLAN.md §9. + """ + message: str = Field(..., description="Conversational reply shown to the user") + trades: list[TradeRequest] = Field(default_factory=list) + watchlist_changes: list[WatchlistChange] = Field(default_factory=list) + + +class TradeActionResult(BaseModel): + """Per-trade outcome attached to the response payload + persisted in chat_messages.""" + + ticker: str + side: Side + quantity: float + intent: TradeIntent + status: TradeActionStatus + price: float | None = None + cash_balance_after: float | None = None + error: str | None = None + + +class WatchlistActionResult(BaseModel): + ticker: str + action: WatchlistAction + ok: bool + error: str | None = None + + +class ChatActions(BaseModel): + """Aggregate action results for a single assistant turn.""" + trades: list[TradeActionResult] = Field(default_factory=list) + watchlist_changes: list[WatchlistActionResult] = Field(default_factory=list) + + def is_empty(self) -> bool: + return not self.trades and not self.watchlist_changes diff --git a/backend/app/llm/service.py b/backend/app/llm/service.py new file mode 100644 index 00000000..3974aee2 --- /dev/null +++ b/backend/app/llm/service.py @@ -0,0 +1,151 @@ +"""Chat orchestration: compose the prompt, call the LLM, execute actions, persist.""" + +from __future__ import annotations + +import logging + +from .. import db +from ..market import MarketDataSource, PriceCache +from ..portfolio import service as portfolio_service +from ..validation import normalize_ticker +from . import client +from .prompt import SYSTEM_PROMPT, build_portfolio_context +from .schema import ( + ChatActions, + LLMResponse, + TradeActionResult, + TradeRequest, + WatchlistActionResult, + WatchlistChange, +) + +logger = logging.getLogger(__name__) + +HISTORY_LIMIT = 20 # most-recent N messages included in the LLM prompt + + +def _build_messages(user_message: str, cache: PriceCache) -> list[dict[str, str]]: + """Compose system + portfolio context + recent history + new user message.""" + messages: list[dict[str, str]] = [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "system", "content": build_portfolio_context(cache)}, + ] + for msg in db.chat.list_recent(limit=HISTORY_LIMIT): + messages.append({"role": msg.role, "content": msg.content}) + messages.append({"role": "user", "content": user_message}) + return messages + + +def _resolve_trade_action( + cache: PriceCache, + t: TradeRequest, + allow_trade_execution: bool, +) -> TradeActionResult: + if t.intent == "recommend": + return TradeActionResult( + ticker=t.ticker.upper(), + side=t.side, + quantity=t.quantity, + intent=t.intent, + status="recommended", + ) + if not allow_trade_execution: + return TradeActionResult( + ticker=t.ticker.upper(), + side=t.side, + quantity=t.quantity, + intent=t.intent, + status="approval_required", + error="Trade execution requires explicit approval for this message", + ) + + try: + result = portfolio_service.execute_trade(cache, t.ticker, t.side, t.quantity) + return TradeActionResult( + ticker=result.ticker, + side=result.side, + quantity=result.quantity, + intent=t.intent, + status="executed", + price=result.price, + cash_balance_after=result.cash_balance_after, + ) + except portfolio_service.TradeError as e: + return TradeActionResult( + ticker=t.ticker.upper(), + side=t.side, + quantity=t.quantity, + intent=t.intent, + status="failed", + error=str(e), + ) + + +async def _apply_watchlist_change( + source: MarketDataSource, w: WatchlistChange +) -> WatchlistActionResult: + try: + ticker = normalize_ticker(w.ticker) + except ValueError as e: + return WatchlistActionResult( + ticker=w.ticker.upper().strip(), + action=w.action, + ok=False, + error=str(e), + ) + if w.action == "add": + added = db.watchlist.add_ticker(ticker) + if not added: + return WatchlistActionResult( + ticker=ticker, action="add", ok=False, + error=f"{ticker} already in watchlist", + ) + await source.add_ticker(ticker) + else: + removed = db.watchlist.remove_ticker(ticker) + if not removed: + return WatchlistActionResult( + ticker=ticker, action="remove", ok=False, + error=f"{ticker} not in watchlist", + ) + await source.remove_ticker(ticker) + return WatchlistActionResult(ticker=ticker, action=w.action, ok=True) + + +async def handle_user_message( + user_message: str, + cache: PriceCache, + source: MarketDataSource, + allow_trade_execution: bool = False, +) -> tuple[db.ChatMessage, db.ChatMessage, ChatActions]: + """Persist the user message, call the LLM, run any actions, persist the assistant turn. + + Returns (user_msg_row, assistant_msg_row, actions). The assistant_msg.actions + field holds the JSON-serialised ChatActions for the frontend to render badges. + """ + user_row = db.chat.append_message("user", user_message) + + messages = _build_messages(user_message, cache) + llm: LLMResponse = client.complete_chat(messages, user_message) + + actions = ChatActions() + for t in llm.trades: + actions.trades.append( + _resolve_trade_action(cache, t, allow_trade_execution=allow_trade_execution) + ) + for w in llm.watchlist_changes: + actions.watchlist_changes.append(await _apply_watchlist_change(source, w)) + + actions_payload = None if actions.is_empty() else actions.model_dump() + assistant_content = llm.message + if any(t.status == "approval_required" for t in actions.trades): + assistant_content += ( + "\n\nTrade execution was not attempted because this message was not approved " + "for execution." + ) + elif any(t.status == "recommended" for t in actions.trades): + assistant_content += "\n\nNo trades were executed." + assistant_row = db.chat.append_message( + "assistant", assistant_content, actions=actions_payload, + ) + return user_row, assistant_row, actions diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 00000000..47899278 --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,113 @@ +"""FinAlly FastAPI application entry point.""" + +from __future__ import annotations + +import asyncio +import logging +import os +from collections.abc import AsyncIterator +from contextlib import asynccontextmanager +from pathlib import Path + +from dotenv import load_dotenv +from fastapi import APIRouter, FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.staticfiles import StaticFiles + +from . import db +from .chat_api import router as chat_router +from .market import PriceCache, create_market_data_source, create_stream_router +from .portfolio.routes import router as portfolio_router +from .snapshot_task import run_snapshot_loop +from .state import AppState +from .watchlist_api import router as watchlist_router + +logger = logging.getLogger(__name__) + +STATIC_DIR_ENV = "FINALLY_STATIC_DIR" +DEFAULT_STATIC_DIR = "static" + + +@asynccontextmanager +async def lifespan(app: FastAPI) -> AsyncIterator[None]: + """Start market data + snapshot loop, then shut them down cleanly.""" + state: AppState = app.state.finally_state + initial_tickers = db.watchlist.list_tickers() + await state.market_source.start(initial_tickers) + logger.info("market data source started with %d tickers", len(initial_tickers)) + + stop_event = asyncio.Event() + snapshot_task = asyncio.create_task(run_snapshot_loop(state.price_cache, stop_event)) + + try: + yield + finally: + stop_event.set() + snapshot_task.cancel() + try: + await snapshot_task + except (asyncio.CancelledError, Exception): + pass + await state.market_source.stop() + logger.info("market data source stopped") + + +def _make_health_router() -> APIRouter: + router = APIRouter(tags=["system"]) + + @router.get("/api/health") + def health() -> dict[str, str]: + return {"status": "ok"} + + return router + + +def create_app() -> FastAPI: + # Load .env from project root (one level up from backend/) if present. + # Harmless if missing; Docker passes env vars via --env-file. + load_dotenv(Path(__file__).resolve().parents[2] / ".env", override=False) + + app = FastAPI(title="FinAlly", lifespan=lifespan) + + # Allow the Next.js dev server (port 3000) to call the API cross-origin. + # In production the frontend is served from the same origin as the API, + # so CORS is a no-op. + app.add_middleware( + CORSMiddleware, + allow_origin_regex=r"^http://(localhost|127\.0\.0\.1)(:\d+)?$", + allow_methods=["*"], + allow_headers=["*"], + ) + + # Initialize DB and shared market state up front so all routes — + # including the SSE stream — can be registered before the static + # catch-all mount below. The market source is started/stopped in lifespan. + db.ensure_initialized() + cache = PriceCache() + source = create_market_data_source(cache) + app.state.finally_state = AppState(price_cache=cache, market_source=source) + + # API routes (registered before static mount so /api/* always wins) + app.include_router(_make_health_router()) + app.include_router(portfolio_router) + app.include_router(watchlist_router) + app.include_router(chat_router) + app.include_router(create_stream_router(cache)) + + # Static frontend (Next.js export). Optional — directory may not exist in dev. + static_dir = os.environ.get(STATIC_DIR_ENV, DEFAULT_STATIC_DIR) + static_path = Path(static_dir) + if static_path.is_dir(): + app.mount( + "/", + StaticFiles(directory=str(static_path), html=True), + name="static", + ) + logger.info("serving static frontend from %s", static_path) + else: + logger.info("no static frontend at %s — API only", static_path) + + return app + + +app = create_app() diff --git a/backend/app/market/cache.py b/backend/app/market/cache.py index 4d021577..6f357655 100644 --- a/backend/app/market/cache.py +++ b/backend/app/market/cache.py @@ -27,7 +27,7 @@ def update(self, ticker: str, price: float, timestamp: float | None = None) -> P If this is the first update for the ticker, previous_price == price (direction='flat'). """ with self._lock: - ts = timestamp or time.time() + ts = time.time() if timestamp is None else timestamp prev = self._prices.get(ticker) previous_price = prev.price if prev else price diff --git a/backend/app/portfolio/__init__.py b/backend/app/portfolio/__init__.py new file mode 100644 index 00000000..128ff86f --- /dev/null +++ b/backend/app/portfolio/__init__.py @@ -0,0 +1,21 @@ +"""Portfolio domain: trade execution + valuation.""" + +from .service import ( + PortfolioView, + PositionView, + TradeError, + TradeResult, + execute_trade, + get_portfolio_view, + total_value, +) + +__all__ = [ + "PortfolioView", + "PositionView", + "TradeError", + "TradeResult", + "execute_trade", + "get_portfolio_view", + "total_value", +] diff --git a/backend/app/portfolio/routes.py b/backend/app/portfolio/routes.py new file mode 100644 index 00000000..4050836b --- /dev/null +++ b/backend/app/portfolio/routes.py @@ -0,0 +1,87 @@ +"""HTTP routes for the portfolio domain.""" + +from __future__ import annotations + +from typing import Literal + +from fastapi import APIRouter, Depends, HTTPException, status +from pydantic import BaseModel, Field + +from .. import db +from ..state import AppState, get_state +from . import service + + +class TradeRequest(BaseModel): + ticker: str = Field(..., min_length=1, max_length=10) + quantity: float = Field(..., gt=0) + side: Literal["buy", "sell"] + + +class PositionResponse(BaseModel): + ticker: str + quantity: float + avg_cost: float + current_price: float | None + market_value: float + unrealized_pnl: float + unrealized_pnl_percent: float + + +class PortfolioResponse(BaseModel): + cash_balance: float + positions: list[PositionResponse] + market_value: float + total_value: float + unrealized_pnl: float + unrealized_pnl_percent: float + + +class TradeResponse(BaseModel): + ticker: str + side: Literal["buy", "sell"] + quantity: float + price: float + cash_balance_after: float + position_quantity_after: float + executed_at: str + + +class HistoryPoint(BaseModel): + total_value: float + recorded_at: str + + +router = APIRouter(prefix="/api/portfolio", tags=["portfolio"]) + + +@router.get("", response_model=PortfolioResponse) +def get_portfolio(state: AppState = Depends(get_state)) -> PortfolioResponse: + view = service.get_portfolio_view(state.price_cache) + return PortfolioResponse( + cash_balance=view.cash_balance, + positions=[PositionResponse(**p.__dict__) for p in view.positions], + market_value=view.market_value, + total_value=view.total_value, + unrealized_pnl=view.unrealized_pnl, + unrealized_pnl_percent=view.unrealized_pnl_percent, + ) + + +@router.post("/trade", response_model=TradeResponse) +def post_trade( + body: TradeRequest, state: AppState = Depends(get_state) +) -> TradeResponse: + try: + result = service.execute_trade( + state.price_cache, body.ticker, body.side, body.quantity + ) + except service.TradeError as e: + raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) + return TradeResponse(**result.__dict__) + + +@router.get("/history", response_model=list[HistoryPoint]) +def get_history() -> list[HistoryPoint]: + snaps = db.snapshots.list_history() + return [HistoryPoint(total_value=s.total_value, recorded_at=s.recorded_at) for s in snaps] diff --git a/backend/app/portfolio/service.py b/backend/app/portfolio/service.py new file mode 100644 index 00000000..1990cc0a --- /dev/null +++ b/backend/app/portfolio/service.py @@ -0,0 +1,204 @@ +"""Trade execution and portfolio valuation. + +Pure-ish domain logic: takes a PriceCache and operates on the DB. No HTTP. +""" + +from __future__ import annotations + +import logging +import time +from dataclasses import dataclass +from typing import Literal + +from .. import db +from ..market import PriceCache +from ..validation import normalize_ticker, normalize_trade_quantity + +Side = Literal["buy", "sell"] +MAX_TRADE_PRICE_AGE_SECONDS = 300 + +logger = logging.getLogger(__name__) + + +class TradeError(ValueError): + """Raised when a trade fails validation (insufficient cash, no shares, etc.).""" + + +@dataclass(frozen=True) +class TradeResult: + ticker: str + side: Side + quantity: float + price: float + cash_balance_after: float + position_quantity_after: float + executed_at: str + + +@dataclass(frozen=True) +class PositionView: + ticker: str + quantity: float + avg_cost: float + current_price: float | None + market_value: float + unrealized_pnl: float + unrealized_pnl_percent: float + + +@dataclass(frozen=True) +class PortfolioView: + cash_balance: float + positions: list[PositionView] + market_value: float # sum of position market values (excludes cash) + total_value: float # cash + market_value + unrealized_pnl: float + unrealized_pnl_percent: float # vs total cost basis + + +def _require_price(cache: PriceCache, ticker: str) -> float: + update = cache.get(ticker) + if update is None or update.price <= 0: + raise TradeError(f"No live price available for {ticker}") + if time.time() - update.timestamp > MAX_TRADE_PRICE_AGE_SECONDS: + raise TradeError( + f"Live price for {ticker} is stale; wait for a fresh quote before trading" + ) + return update.price + + +def execute_trade( + cache: PriceCache, + ticker: str, + side: Side, + quantity: float, +) -> TradeResult: + """Execute a market order at the current cached price. + + Validation: + - quantity > 0 + - side in {"buy", "sell"} + - live price available + - buy: sufficient cash + - sell: sufficient shares + + On success: updates positions + cash, appends a row to `trades`. + """ + try: + ticker = normalize_ticker(ticker) + except ValueError as e: + raise TradeError(str(e)) from e + if side not in ("buy", "sell"): + raise TradeError(f"side must be 'buy' or 'sell', got {side!r}") + try: + quantity = normalize_trade_quantity(quantity) + except ValueError as e: + raise TradeError(str(e)) from e + + price = _require_price(cache, ticker) + cash = db.profile.get_cash_balance() + existing = db.positions.get_position(ticker) + + if side == "buy": + cost = quantity * price + if cost > cash + 1e-9: + raise TradeError( + f"Insufficient cash: need ${cost:,.2f}, have ${cash:,.2f}" + ) + new_cash = cash - cost + if existing is None: + new_qty = quantity + new_avg = price + else: + new_qty = existing.quantity + quantity + new_avg = ( + existing.quantity * existing.avg_cost + quantity * price + ) / new_qty + db.positions.upsert_position(ticker, new_qty, new_avg) + else: # sell + if existing is None or existing.quantity < quantity - 1e-9: + have = existing.quantity if existing else 0.0 + raise TradeError( + f"Insufficient shares of {ticker}: need {quantity}, have {have}" + ) + new_cash = cash + quantity * price + new_qty = existing.quantity - quantity + if new_qty < 1e-9: + db.positions.delete_position(ticker) + new_qty = 0.0 + else: + db.positions.upsert_position(ticker, new_qty, existing.avg_cost) + + db.profile.set_cash_balance(new_cash) + trade = db.trades.record_trade(ticker, side, quantity, price) + try: + db.snapshots.record_snapshot(total_value(cache)) + except Exception: + logger.exception("failed to record post-trade snapshot") + + return TradeResult( + ticker=ticker, + side=side, + quantity=quantity, + price=price, + cash_balance_after=new_cash, + position_quantity_after=new_qty, + executed_at=trade.executed_at, + ) + + +def get_portfolio_view(cache: PriceCache) -> PortfolioView: + """Compose current cash, positions, and live valuations into a single view.""" + cash = db.profile.get_cash_balance() + raw_positions = db.positions.list_positions() + + views: list[PositionView] = [] + market_value = 0.0 + total_cost = 0.0 + total_unrealized = 0.0 + for p in raw_positions: + current_price = cache.get_price(p.ticker) + cost_basis = p.quantity * p.avg_cost + if current_price is not None: + mv = p.quantity * current_price + pnl = mv - cost_basis + pnl_pct = (pnl / cost_basis * 100.0) if cost_basis > 0 else 0.0 + else: + mv = cost_basis # fall back to cost basis if no price yet + pnl = 0.0 + pnl_pct = 0.0 + market_value += mv + total_cost += cost_basis + total_unrealized += pnl + views.append( + PositionView( + ticker=p.ticker, + quantity=p.quantity, + avg_cost=p.avg_cost, + current_price=current_price, + market_value=mv, + unrealized_pnl=pnl, + unrealized_pnl_percent=pnl_pct, + ) + ) + + total = cash + market_value + pnl_pct = (total_unrealized / total_cost * 100.0) if total_cost > 0 else 0.0 + return PortfolioView( + cash_balance=cash, + positions=views, + market_value=market_value, + total_value=total, + unrealized_pnl=total_unrealized, + unrealized_pnl_percent=pnl_pct, + ) + + +def total_value(cache: PriceCache) -> float: + """Cheap version: just the total. Used by the snapshot background task.""" + cash = db.profile.get_cash_balance() + mv = 0.0 + for p in db.positions.list_positions(): + price = cache.get_price(p.ticker) + mv += p.quantity * (price if price is not None else p.avg_cost) + return cash + mv diff --git a/backend/app/snapshot_task.py b/backend/app/snapshot_task.py new file mode 100644 index 00000000..e6e81d02 --- /dev/null +++ b/backend/app/snapshot_task.py @@ -0,0 +1,36 @@ +"""Background task that snapshots total portfolio value on a fixed cadence.""" + +from __future__ import annotations + +import asyncio +import logging + +from . import db +from .market import PriceCache +from .portfolio import service + +logger = logging.getLogger(__name__) + +SNAPSHOT_INTERVAL_SECONDS = 30 +RETENTION_EVERY_N_SNAPSHOTS = 120 # Apply retention roughly hourly (120 * 30s) + + +async def run_snapshot_loop(cache: PriceCache, stop_event: asyncio.Event) -> None: + """Loop until stop_event is set, recording one snapshot per interval.""" + iteration = 0 + while not stop_event.is_set(): + try: + await asyncio.wait_for(stop_event.wait(), timeout=SNAPSHOT_INTERVAL_SECONDS) + return # stop_event fired + except asyncio.TimeoutError: + pass + + try: + value = service.total_value(cache) + db.snapshots.record_snapshot(value) + iteration += 1 + if iteration % RETENTION_EVERY_N_SNAPSHOTS == 0: + result = db.snapshots.apply_retention() + logger.info("snapshot retention: %s", result) + except Exception: + logger.exception("snapshot loop iteration failed") diff --git a/backend/app/state.py b/backend/app/state.py new file mode 100644 index 00000000..dbc49375 --- /dev/null +++ b/backend/app/state.py @@ -0,0 +1,25 @@ +"""Application state container shared across request handlers. + +Held on `app.state.finally_state` after lifespan startup. Routes resolve via +the `get_state` dependency. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from fastapi import Request + +from .market import MarketDataSource, PriceCache + + +@dataclass +class AppState: + price_cache: PriceCache + market_source: MarketDataSource + + +def get_state(request: Request) -> AppState: + """FastAPI dependency to resolve AppState from the request scope.""" + state: AppState = request.app.state.finally_state + return state diff --git a/backend/app/validation.py b/backend/app/validation.py new file mode 100644 index 00000000..3cdfa312 --- /dev/null +++ b/backend/app/validation.py @@ -0,0 +1,39 @@ +"""Shared input-validation helpers.""" + +from __future__ import annotations + +import math +import re +from decimal import Decimal, InvalidOperation + +TICKER_RE = re.compile(r"^[A-Z0-9]{1,10}$") +MIN_TRADE_QUANTITY = Decimal("0.0001") +MAX_TRADE_QUANTITY_DECIMALS = 4 + + +def normalize_ticker(raw: str) -> str: + ticker = raw.upper().strip() + if not ticker: + raise ValueError("ticker must be non-empty") + if not TICKER_RE.fullmatch(ticker): + raise ValueError("ticker must be 1-10 alphanumeric characters") + return ticker + + +def normalize_trade_quantity(quantity: float) -> float: + if not math.isfinite(quantity): + raise ValueError("quantity must be a finite number") + + try: + normalized = Decimal(str(quantity)) + except InvalidOperation as exc: + raise ValueError("quantity must be a valid decimal") from exc + + if normalized < MIN_TRADE_QUANTITY: + raise ValueError(f"quantity must be at least {MIN_TRADE_QUANTITY}") + if normalized.as_tuple().exponent < -MAX_TRADE_QUANTITY_DECIMALS: + raise ValueError( + f"quantity must have at most {MAX_TRADE_QUANTITY_DECIMALS} decimal places" + ) + + return float(normalized) diff --git a/backend/app/watchlist_api.py b/backend/app/watchlist_api.py new file mode 100644 index 00000000..b7812dd1 --- /dev/null +++ b/backend/app/watchlist_api.py @@ -0,0 +1,90 @@ +"""HTTP routes for the watchlist. + +Adding/removing a watchlist ticker also synchronises the live MarketDataSource +so price updates flow (or stop) for the new set immediately. +""" + +from __future__ import annotations + +from fastapi import APIRouter, Depends, HTTPException, status +from pydantic import BaseModel, Field + +from . import db +from .state import AppState, get_state +from .validation import normalize_ticker + + +class WatchlistAddRequest(BaseModel): + ticker: str = Field(..., min_length=1, max_length=10) + + +class WatchlistEntry(BaseModel): + ticker: str + price: float | None + previous_price: float | None + change: float | None + change_percent: float | None + direction: str | None + + +router = APIRouter(prefix="/api/watchlist", tags=["watchlist"]) + + +@router.get("", response_model=list[WatchlistEntry]) +def get_watchlist(state: AppState = Depends(get_state)) -> list[WatchlistEntry]: + out: list[WatchlistEntry] = [] + for ticker in db.watchlist.list_tickers(): + update = state.price_cache.get(ticker) + if update is None: + out.append(WatchlistEntry( + ticker=ticker, price=None, previous_price=None, + change=None, change_percent=None, direction=None, + )) + else: + out.append(WatchlistEntry( + ticker=update.ticker, + price=update.price, + previous_price=update.previous_price, + change=update.change, + change_percent=update.change_percent, + direction=update.direction, + )) + return out + + +@router.post("", response_model=WatchlistEntry, status_code=status.HTTP_201_CREATED) +async def add_watchlist( + body: WatchlistAddRequest, state: AppState = Depends(get_state) +) -> WatchlistEntry: + try: + ticker = normalize_ticker(body.ticker) + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) + added = db.watchlist.add_ticker(ticker) + if not added: + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail=f"{ticker} is already in the watchlist", + ) + await state.market_source.add_ticker(ticker) + return WatchlistEntry( + ticker=ticker, price=None, previous_price=None, + change=None, change_percent=None, direction=None, + ) + + +@router.delete("/{ticker}", status_code=status.HTTP_204_NO_CONTENT) +async def remove_watchlist( + ticker: str, state: AppState = Depends(get_state) +) -> None: + ticker = ticker.upper().strip() + removed = db.watchlist.remove_ticker(ticker) + if not removed: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"{ticker} is not in the watchlist", + ) + await state.market_source.remove_ticker(ticker) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index e172cca2..8d8b55a2 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -10,10 +10,14 @@ dependencies = [ "numpy>=2.0.0", "massive>=1.0.0", "rich>=13.0.0", + "litellm>=1.83.9", + "pydantic>=2.12.5", + "python-dotenv>=1.0.1", ] [project.optional-dependencies] dev = [ + "httpx>=0.28.1", "pytest>=8.3.0", "pytest-asyncio>=0.24.0", "pytest-cov>=5.0.0", diff --git a/backend/tests/api/__init__.py b/backend/tests/api/__init__.py new file mode 100644 index 00000000..0dd5a357 --- /dev/null +++ b/backend/tests/api/__init__.py @@ -0,0 +1 @@ +"""HTTP API tests.""" diff --git a/backend/tests/api/conftest.py b/backend/tests/api/conftest.py new file mode 100644 index 00000000..dc6c761b --- /dev/null +++ b/backend/tests/api/conftest.py @@ -0,0 +1,42 @@ +"""HTTP test fixtures: build a TestClient against a temp DB. + +Each test gets its own DB and its own app instance (lifespan starts the simulator, +seeds the cache via a few iterations, and shuts down cleanly on teardown). +""" + +from __future__ import annotations + +import os +import time +from collections.abc import Iterator +from pathlib import Path + +import pytest +from fastapi.testclient import TestClient + +from app import db +from app.main import create_app + + +@pytest.fixture +def temp_db(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[str]: + db_path = str(tmp_path / "api.db") + monkeypatch.setenv("FINALLY_DB_PATH", db_path) + db.reset_initialization_state() + db.ensure_initialized() + yield db_path + db.reset_initialization_state() + if os.path.exists(db_path): + os.remove(db_path) + + +@pytest.fixture +def client(temp_db: str) -> Iterator[TestClient]: + app = create_app() + with TestClient(app) as c: + # The simulator needs a few ticks to populate the cache before trade tests. + cache = app.state.finally_state.price_cache + deadline = time.time() + 3.0 + while len(cache) < 5 and time.time() < deadline: + time.sleep(0.05) + yield c diff --git a/backend/tests/api/test_chat_routes.py b/backend/tests/api/test_chat_routes.py new file mode 100644 index 00000000..fca9f4dd --- /dev/null +++ b/backend/tests/api/test_chat_routes.py @@ -0,0 +1,92 @@ +"""HTTP route tests for /api/chat (mock LLM mode).""" + +from __future__ import annotations + +import os +from collections.abc import Iterator +from pathlib import Path + +import pytest +from fastapi.testclient import TestClient + +from app import db +from app.main import create_app + + +@pytest.fixture +def chat_client(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[TestClient]: + """Like the standard `client` fixture but with LLM_MOCK=true forced on.""" + db_path = str(tmp_path / "chat.db") + monkeypatch.setenv("FINALLY_DB_PATH", db_path) + monkeypatch.setenv("LLM_MOCK", "true") + db.reset_initialization_state() + db.ensure_initialized() + + app = create_app() + with TestClient(app) as c: + cache = app.state.finally_state.price_cache + import time + deadline = time.time() + 3.0 + while len(cache) < 5 and time.time() < deadline: + time.sleep(0.05) + yield c + + db.reset_initialization_state() + if os.path.exists(db_path): + os.remove(db_path) + + +def test_history_initially_empty(chat_client: TestClient) -> None: + r = chat_client.get("/api/chat") + assert r.status_code == 200 + assert r.json() == [] + + +def test_post_returns_user_and_assistant(chat_client: TestClient) -> None: + r = chat_client.post("/api/chat", json={"message": "hello"}) + assert r.status_code == 200, r.text + body = r.json() + assert body["user_message"]["content"] == "hello" + assert body["assistant_message"]["role"] == "assistant" + assert body["assistant_message"]["actions"] is None # no trades for "hello" + + +def test_post_with_trade_requires_approval_by_default(chat_client: TestClient) -> None: + r = chat_client.post("/api/chat", json={"message": "buy 1 AAPL"}) + assert r.status_code == 200 + actions = r.json()["assistant_message"]["actions"] + assert actions is not None + assert actions["trades"][0]["status"] == "approval_required" + assert db.positions.get_position("AAPL") is None + + +def test_post_with_trade_executes_when_approved(chat_client: TestClient) -> None: + r = chat_client.post( + "/api/chat", + json={"message": "buy 1 AAPL", "allow_trade_execution": True}, + ) + assert r.status_code == 200 + actions = r.json()["assistant_message"]["actions"] + assert actions is not None + assert actions["trades"][0]["status"] == "executed" + assert actions["trades"][0]["ticker"] == "AAPL" + + +def test_history_returned_after_messages(chat_client: TestClient) -> None: + chat_client.post("/api/chat", json={"message": "hi"}) + chat_client.post("/api/chat", json={"message": "buy 1 AAPL"}) + r = chat_client.get("/api/chat") + history = r.json() + # 2 user + 2 assistant + assert len(history) == 4 + assert [m["role"] for m in history] == ["user", "assistant", "user", "assistant"] + + +def test_empty_message_422(chat_client: TestClient) -> None: + r = chat_client.post("/api/chat", json={"message": ""}) + assert r.status_code == 422 + + +def test_history_limit_validation(chat_client: TestClient) -> None: + assert chat_client.get("/api/chat?limit=0").status_code == 400 + assert chat_client.get("/api/chat?limit=501").status_code == 400 diff --git a/backend/tests/api/test_routes.py b/backend/tests/api/test_routes.py new file mode 100644 index 00000000..bd99f144 --- /dev/null +++ b/backend/tests/api/test_routes.py @@ -0,0 +1,128 @@ +"""HTTP route tests covering health, watchlist, portfolio, trade, and history.""" + +from __future__ import annotations + +from fastapi.testclient import TestClient + +from app import db + +# ---- health ---- + +def test_health(client: TestClient) -> None: + r = client.get("/api/health") + assert r.status_code == 200 + assert r.json() == {"status": "ok"} + + +# ---- watchlist ---- + +def test_watchlist_default_seed(client: TestClient) -> None: + r = client.get("/api/watchlist") + assert r.status_code == 200 + body = r.json() + tickers = [e["ticker"] for e in body] + assert tickers == db.DEFAULT_WATCHLIST + + +def test_watchlist_add(client: TestClient) -> None: + r = client.post("/api/watchlist", json={"ticker": "PYPL"}) + assert r.status_code == 201 + assert r.json()["ticker"] == "PYPL" + assert "PYPL" in db.watchlist.list_tickers() + + +def test_watchlist_add_duplicate_409(client: TestClient) -> None: + r = client.post("/api/watchlist", json={"ticker": "AAPL"}) + assert r.status_code == 409 + + +def test_watchlist_add_invalid_ticker(client: TestClient) -> None: + r = client.post("/api/watchlist", json={"ticker": "B@D"}) + assert r.status_code == 400 + + +def test_watchlist_remove(client: TestClient) -> None: + r = client.delete("/api/watchlist/AAPL") + assert r.status_code == 204 + assert "AAPL" not in db.watchlist.list_tickers() + + +def test_watchlist_remove_missing_404(client: TestClient) -> None: + r = client.delete("/api/watchlist/NOPE") + assert r.status_code == 404 + + +# ---- portfolio ---- + +def test_portfolio_initial_state(client: TestClient) -> None: + r = client.get("/api/portfolio") + assert r.status_code == 200 + body = r.json() + assert body["cash_balance"] == 10_000.0 + assert body["positions"] == [] + assert body["total_value"] == 10_000.0 + + +def test_trade_buy_then_portfolio_reflects_position(client: TestClient) -> None: + buy = client.post("/api/portfolio/trade", json={ + "ticker": "AAPL", "side": "buy", "quantity": 1, + }) + assert buy.status_code == 200, buy.text + body = buy.json() + assert body["ticker"] == "AAPL" + assert body["side"] == "buy" + assert body["quantity"] == 1 + assert body["price"] > 0 + + portfolio = client.get("/api/portfolio").json() + assert len(portfolio["positions"]) == 1 + assert portfolio["positions"][0]["ticker"] == "AAPL" + assert portfolio["cash_balance"] < 10_000.0 + + +def test_trade_buy_insufficient_cash_400(client: TestClient) -> None: + r = client.post("/api/portfolio/trade", json={ + "ticker": "AAPL", "side": "buy", "quantity": 10_000, + }) + assert r.status_code == 400 + assert "insufficient" in r.json()["detail"].lower() + + +def test_trade_sell_without_position_400(client: TestClient) -> None: + r = client.post("/api/portfolio/trade", json={ + "ticker": "AAPL", "side": "sell", "quantity": 1, + }) + assert r.status_code == 400 + + +def test_trade_invalid_side_422(client: TestClient) -> None: + # Pydantic literal validation runs before route handler — 422 + r = client.post("/api/portfolio/trade", json={ + "ticker": "AAPL", "side": "hodl", "quantity": 1, + }) + assert r.status_code == 422 + + +def test_trade_zero_quantity_422(client: TestClient) -> None: + r = client.post("/api/portfolio/trade", json={ + "ticker": "AAPL", "side": "buy", "quantity": 0, + }) + assert r.status_code == 422 + + +def test_portfolio_history_seeded_immediately(client: TestClient) -> None: + r = client.get("/api/portfolio/history") + assert r.status_code == 200 + body = r.json() + assert len(body) == 1 + assert body[0]["total_value"] == 10_000.0 + + +def test_trade_records_snapshot_immediately(client: TestClient) -> None: + before = client.get("/api/portfolio/history").json() + buy = client.post("/api/portfolio/trade", json={ + "ticker": "AAPL", "side": "buy", "quantity": 1, + }) + assert buy.status_code == 200, buy.text + after = client.get("/api/portfolio/history").json() + assert len(after) == len(before) + 1 diff --git a/backend/tests/db/__init__.py b/backend/tests/db/__init__.py new file mode 100644 index 00000000..d0381135 --- /dev/null +++ b/backend/tests/db/__init__.py @@ -0,0 +1 @@ +"""DB layer tests.""" diff --git a/backend/tests/db/conftest.py b/backend/tests/db/conftest.py new file mode 100644 index 00000000..46cd716f --- /dev/null +++ b/backend/tests/db/conftest.py @@ -0,0 +1,24 @@ +"""Shared DB test fixtures: each test gets an initialized temp database.""" + +from __future__ import annotations + +import os +from collections.abc import Iterator +from pathlib import Path + +import pytest + +from app import db + + +@pytest.fixture +def temp_db(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[str]: + """Point FINALLY_DB_PATH at a fresh file for the duration of the test.""" + db_path = str(tmp_path / "test.db") + monkeypatch.setenv("FINALLY_DB_PATH", db_path) + db.reset_initialization_state() + db.ensure_initialized() + yield db_path + db.reset_initialization_state() + if os.path.exists(db_path): + os.remove(db_path) diff --git a/backend/tests/db/test_chat.py b/backend/tests/db/test_chat.py new file mode 100644 index 00000000..fd3e6b92 --- /dev/null +++ b/backend/tests/db/test_chat.py @@ -0,0 +1,44 @@ +"""Chat messages repository tests.""" + +from __future__ import annotations + +from app import db + + +def test_append_user_message(temp_db: str) -> None: + msg = db.chat.append_message("user", "hello") + assert msg.role == "user" + assert msg.actions is None + + +def test_append_assistant_with_actions(temp_db: str) -> None: + actions = {"trades": [{"ticker": "AAPL", "side": "buy", "quantity": 10, "ok": True}]} + msg = db.chat.append_message("assistant", "Bought AAPL.", actions=actions) + assert msg.actions == actions + + +def test_list_recent_returns_oldest_first(temp_db: str) -> None: + db.chat.append_message("user", "first") + db.chat.append_message("assistant", "second") + db.chat.append_message("user", "third") + listed = db.chat.list_recent() + assert [m.content for m in listed] == ["first", "second", "third"] + + +def test_list_recent_respects_limit(temp_db: str) -> None: + for i in range(10): + db.chat.append_message("user", f"msg {i}") + listed = db.chat.list_recent(limit=3) + assert len(listed) == 3 + # Limit picks the most-recent N, but returns them oldest-first + assert [m.content for m in listed] == ["msg 7", "msg 8", "msg 9"] + + +def test_actions_roundtrip_json(temp_db: str) -> None: + actions = { + "trades": [{"ticker": "AAPL", "side": "buy", "quantity": 1.5}], + "watchlist_changes": [{"ticker": "PYPL", "action": "add"}], + } + db.chat.append_message("assistant", "ok", actions=actions) + listed = db.chat.list_recent() + assert listed[-1].actions == actions diff --git a/backend/tests/db/test_init.py b/backend/tests/db/test_init.py new file mode 100644 index 00000000..50cca65a --- /dev/null +++ b/backend/tests/db/test_init.py @@ -0,0 +1,56 @@ +"""Lazy initialization, idempotency, and seed-data tests.""" + +from __future__ import annotations + +from pathlib import Path + +import pytest + +from app import db +from app.db.connection import connect + + +def test_first_init_creates_schema_and_seeds(temp_db: str) -> None: + assert db.profile.get_cash_balance() == db.DEFAULT_CASH_BALANCE + tickers = db.watchlist.list_tickers() + assert tickers == db.DEFAULT_WATCHLIST + + +def test_init_is_idempotent(temp_db: str) -> None: + db.ensure_initialized() + db.ensure_initialized() + db.reset_initialization_state() + db.ensure_initialized() + # Cash + watchlist remain pristine after repeated initialization + assert db.profile.get_cash_balance() == db.DEFAULT_CASH_BALANCE + assert db.watchlist.list_tickers() == db.DEFAULT_WATCHLIST + + +def test_init_does_not_overwrite_existing_data(temp_db: str) -> None: + db.profile.set_cash_balance(7777.0) + db.watchlist.remove_ticker("AAPL") + db.reset_initialization_state() + db.ensure_initialized() + assert db.profile.get_cash_balance() == 7777.0 + assert "AAPL" not in db.watchlist.list_tickers() + + +def test_creates_parent_directory(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: + nested = tmp_path / "deep" / "nested" / "dir" / "x.db" + monkeypatch.setenv("FINALLY_DB_PATH", str(nested)) + db.reset_initialization_state() + db.ensure_initialized() + assert nested.exists() + + +def test_all_tables_created(temp_db: str) -> None: + expected = { + "user_profile", "watchlist", "positions", + "trades", "portfolio_snapshots", "chat_messages", + } + with connect() as conn: + rows = conn.execute( + "SELECT name FROM sqlite_master WHERE type='table'" + ).fetchall() + names = {r["name"] for r in rows} + assert expected.issubset(names) diff --git a/backend/tests/db/test_positions.py b/backend/tests/db/test_positions.py new file mode 100644 index 00000000..0b0bbcc3 --- /dev/null +++ b/backend/tests/db/test_positions.py @@ -0,0 +1,44 @@ +"""Positions repository tests.""" + +from __future__ import annotations + +from app import db + + +def test_no_positions_initially(temp_db: str) -> None: + assert db.positions.list_positions() == [] + assert db.positions.get_position("AAPL") is None + + +def test_upsert_inserts_then_updates(temp_db: str) -> None: + db.positions.upsert_position("AAPL", quantity=10, avg_cost=190.0) + pos = db.positions.get_position("AAPL") + assert pos is not None + assert pos.quantity == 10 + assert pos.avg_cost == 190.0 + + db.positions.upsert_position("AAPL", quantity=15, avg_cost=185.0) + pos = db.positions.get_position("AAPL") + assert pos is not None + assert pos.quantity == 15 + assert pos.avg_cost == 185.0 + # Upsert must not create a duplicate row + assert len(db.positions.list_positions()) == 1 + + +def test_list_positions_excludes_zero_quantity(temp_db: str) -> None: + db.positions.upsert_position("AAPL", quantity=10, avg_cost=190.0) + db.positions.upsert_position("GOOGL", quantity=0, avg_cost=175.0) + tickers = [p.ticker for p in db.positions.list_positions()] + assert tickers == ["AAPL"] + + +def test_delete_position(temp_db: str) -> None: + db.positions.upsert_position("AAPL", quantity=10, avg_cost=190.0) + db.positions.delete_position("AAPL") + assert db.positions.get_position("AAPL") is None + + +def test_ticker_normalized_to_uppercase(temp_db: str) -> None: + db.positions.upsert_position("aapl", quantity=10, avg_cost=190.0) + assert db.positions.get_position("AAPL") is not None diff --git a/backend/tests/db/test_profile.py b/backend/tests/db/test_profile.py new file mode 100644 index 00000000..f234fe3b --- /dev/null +++ b/backend/tests/db/test_profile.py @@ -0,0 +1,21 @@ +"""user_profile repository tests.""" + +from __future__ import annotations + +import pytest + +from app import db + + +def test_default_cash_balance(temp_db: str) -> None: + assert db.profile.get_cash_balance() == 10_000.0 + + +def test_set_and_get_cash_balance(temp_db: str) -> None: + db.profile.set_cash_balance(12_345.67) + assert db.profile.get_cash_balance() == 12_345.67 + + +def test_unknown_user_raises(temp_db: str) -> None: + with pytest.raises(ValueError): + db.profile.get_cash_balance(user_id="nope") diff --git a/backend/tests/db/test_snapshots.py b/backend/tests/db/test_snapshots.py new file mode 100644 index 00000000..d27f01f5 --- /dev/null +++ b/backend/tests/db/test_snapshots.py @@ -0,0 +1,82 @@ +"""Portfolio snapshot tests including retention policy.""" + +from __future__ import annotations + +import uuid +from datetime import UTC, datetime, timedelta + +from app import db +from app.db.connection import connect + + +def _insert_snapshot_at(when: datetime, value: float) -> None: + """Bypass record_snapshot() so we can backdate rows for retention tests.""" + with connect() as conn: + conn.execute( + "INSERT INTO portfolio_snapshots (id, user_id, total_value, recorded_at) " + "VALUES (?, ?, ?, ?)", + (str(uuid.uuid4()), db.DEFAULT_USER_ID, value, when.isoformat()), + ) + + +def test_record_and_list(temp_db: str) -> None: + baseline = db.snapshots.list_history() + db.snapshots.record_snapshot(10_000.0) + db.snapshots.record_snapshot(10_500.0) + history = db.snapshots.list_history() + assert [s.total_value for s in history[-2:]] == [10_000.0, 10_500.0] + assert len(history) == len(baseline) + 2 + + +def test_list_history_orders_ascending(temp_db: str) -> None: + now = datetime.now(UTC) + _insert_snapshot_at(now - timedelta(minutes=5), 100.0) + _insert_snapshot_at(now - timedelta(minutes=1), 200.0) + _insert_snapshot_at(now - timedelta(minutes=3), 150.0) + history = db.snapshots.list_history() + assert [s.total_value for s in history[:-1]] == [100.0, 150.0, 200.0] + assert history[-1].total_value == db.DEFAULT_CASH_BALANCE + + +def test_retention_deletes_rows_older_than_max_age(temp_db: str) -> None: + now = datetime.now(UTC) + _insert_snapshot_at(now - timedelta(days=31), 1.0) + _insert_snapshot_at(now - timedelta(days=29), 2.0) + _insert_snapshot_at(now - timedelta(hours=1), 3.0) + result = db.snapshots.apply_retention() + assert result["deleted"] == 1 + values = [s.total_value for s in db.snapshots.list_history()] + assert 1.0 not in values + assert {2.0, 3.0}.issubset(set(values)) + + +def test_retention_downsamples_older_than_24h(temp_db: str) -> None: + # 5 snapshots > 24h old, deterministically packed into one 5-minute bucket. + # The bucket boundary is on multiples of 300s — snap to one and offset by 60s + # so all 5 samples (spanning 0..40s) land inside the same bucket regardless + # of when the test runs. + bucket_seconds = 300 + rough = datetime.now(UTC) - timedelta(hours=25) + aligned_ts = (int(rough.timestamp()) // bucket_seconds) * bucket_seconds + 60 + base = datetime.fromtimestamp(aligned_ts, UTC) + for i in range(5): + _insert_snapshot_at(base + timedelta(seconds=10 * i), 100.0 + i) + + # Plus a recent (within 24h) sample that must be untouched + _insert_snapshot_at(datetime.now(UTC) - timedelta(minutes=1), 999.0) + + result = db.snapshots.apply_retention() + assert result["downsampled"] == 4 + history = db.snapshots.list_history() + assert len(history) == 3 + assert history[0].total_value == 100.0 # earliest in bucket survives + assert history[1].total_value == 999.0 + assert history[2].total_value == db.DEFAULT_CASH_BALANCE + + +def test_retention_preserves_full_resolution_within_24h(temp_db: str) -> None: + base = datetime.now(UTC) - timedelta(hours=1) + for i in range(5): + _insert_snapshot_at(base + timedelta(seconds=30 * i), 100.0 + i) + db.snapshots.apply_retention() + assert len(db.snapshots.list_history()) == 6 diff --git a/backend/tests/db/test_trades.py b/backend/tests/db/test_trades.py new file mode 100644 index 00000000..cf2b96a1 --- /dev/null +++ b/backend/tests/db/test_trades.py @@ -0,0 +1,32 @@ +"""Trades repository tests.""" + +from __future__ import annotations + +import time + +from app import db + + +def test_record_and_list(temp_db: str) -> None: + t1 = db.trades.record_trade("AAPL", "buy", 10, 190.0) + time.sleep(0.001) + t2 = db.trades.record_trade("AAPL", "sell", 5, 195.0) + + listed = db.trades.list_recent() + assert len(listed) == 2 + # Ordered DESC by executed_at — most recent first + assert listed[0].id == t2.id + assert listed[1].id == t1.id + + +def test_record_returns_trade_with_id_and_timestamp(temp_db: str) -> None: + trade = db.trades.record_trade("AAPL", "buy", 10, 190.0) + assert trade.id + assert trade.executed_at + assert trade.side == "buy" + + +def test_limit_caps_results(temp_db: str) -> None: + for i in range(5): + db.trades.record_trade("AAPL", "buy", 1, 100.0 + i) + assert len(db.trades.list_recent(limit=3)) == 3 diff --git a/backend/tests/db/test_watchlist.py b/backend/tests/db/test_watchlist.py new file mode 100644 index 00000000..e849bb1e --- /dev/null +++ b/backend/tests/db/test_watchlist.py @@ -0,0 +1,40 @@ +"""Watchlist repository tests.""" + +from __future__ import annotations + +import pytest + +from app import db + + +def test_default_watchlist_seeded(temp_db: str) -> None: + assert db.watchlist.list_tickers() == db.DEFAULT_WATCHLIST + + +def test_add_new_ticker(temp_db: str) -> None: + assert db.watchlist.add_ticker("PYPL") is True + assert "PYPL" in db.watchlist.list_tickers() + + +def test_add_duplicate_ticker_returns_false(temp_db: str) -> None: + assert db.watchlist.add_ticker("AAPL") is False + assert db.watchlist.list_tickers().count("AAPL") == 1 + + +def test_add_normalizes_to_uppercase(temp_db: str) -> None: + db.watchlist.add_ticker(" pypl ") + assert "PYPL" in db.watchlist.list_tickers() + + +def test_remove_existing_ticker(temp_db: str) -> None: + assert db.watchlist.remove_ticker("AAPL") is True + assert "AAPL" not in db.watchlist.list_tickers() + + +def test_remove_nonexistent_ticker_returns_false(temp_db: str) -> None: + assert db.watchlist.remove_ticker("DOES_NOT_EXIST") is False + + +def test_add_empty_ticker_raises(temp_db: str) -> None: + with pytest.raises(ValueError): + db.watchlist.add_ticker(" ") diff --git a/backend/tests/llm/__init__.py b/backend/tests/llm/__init__.py new file mode 100644 index 00000000..277b8ab5 --- /dev/null +++ b/backend/tests/llm/__init__.py @@ -0,0 +1 @@ +"""LLM integration tests.""" diff --git a/backend/tests/llm/conftest.py b/backend/tests/llm/conftest.py new file mode 100644 index 00000000..8684448f --- /dev/null +++ b/backend/tests/llm/conftest.py @@ -0,0 +1,73 @@ +"""LLM test fixtures: temp DB + a stub MarketDataSource + a primed PriceCache.""" + +from __future__ import annotations + +import os +from collections.abc import Iterator +from pathlib import Path + +import pytest + +from app import db +from app.market import MarketDataSource, PriceCache + + +class StubMarketSource(MarketDataSource): + """In-memory stand-in for the real source: tracks add/remove calls.""" + + def __init__(self) -> None: + self.tickers: list[str] = [] + self.added: list[str] = [] + self.removed: list[str] = [] + self.started = False + self.stopped = False + + async def start(self, tickers: list[str]) -> None: + self.tickers = list(tickers) + self.started = True + + async def stop(self) -> None: + self.stopped = True + + async def add_ticker(self, ticker: str) -> None: + self.added.append(ticker) + if ticker not in self.tickers: + self.tickers.append(ticker) + + async def remove_ticker(self, ticker: str) -> None: + self.removed.append(ticker) + if ticker in self.tickers: + self.tickers.remove(ticker) + + def get_tickers(self) -> list[str]: + return list(self.tickers) + + +@pytest.fixture +def temp_db(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[str]: + db_path = str(tmp_path / "llm.db") + monkeypatch.setenv("FINALLY_DB_PATH", db_path) + db.reset_initialization_state() + db.ensure_initialized() + yield db_path + db.reset_initialization_state() + if os.path.exists(db_path): + os.remove(db_path) + + +@pytest.fixture +def primed_cache() -> PriceCache: + cache = PriceCache() + for ticker in db.DEFAULT_WATCHLIST: + cache.update(ticker, 100.0) + return cache + + +@pytest.fixture +def stub_source() -> StubMarketSource: + return StubMarketSource() + + +@pytest.fixture +def mock_mode(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("LLM_MOCK", "true") diff --git a/backend/tests/llm/test_client.py b/backend/tests/llm/test_client.py new file mode 100644 index 00000000..516836db --- /dev/null +++ b/backend/tests/llm/test_client.py @@ -0,0 +1,64 @@ +"""Live (mocked-network) LLM client path.""" + +from __future__ import annotations + +import json +from unittest.mock import MagicMock, patch + +from app.llm import client +from app.llm.schema import LLMResponse + + +def test_mock_mode_bypasses_network(monkeypatch) -> None: + monkeypatch.setenv("LLM_MOCK", "true") + with patch("app.llm.client.completion") as completion_mock: + result = client.complete_chat([], "hello") + completion_mock.assert_not_called() + assert isinstance(result, LLMResponse) + + +def test_missing_api_key_falls_back_to_mock(monkeypatch) -> None: + monkeypatch.setenv("LLM_MOCK", "false") + monkeypatch.delenv("OPENROUTER_API_KEY", raising=False) + with patch("app.llm.client.completion") as completion_mock: + result = client.complete_chat([], "hello") + completion_mock.assert_not_called() + assert isinstance(result, LLMResponse) + + +def test_live_path_parses_structured_output(monkeypatch) -> None: + monkeypatch.setenv("LLM_MOCK", "false") + monkeypatch.setenv("OPENROUTER_API_KEY", "test-key") + payload = { + "message": "Bought.", + "trades": [{"ticker": "AAPL", "side": "buy", "quantity": 1.0, "intent": "execute"}], + "watchlist_changes": [], + } + fake_response = MagicMock() + fake_response.choices = [MagicMock(message=MagicMock(content=json.dumps(payload)))] + + with patch("app.llm.client.completion", return_value=fake_response) as completion_mock: + result = client.complete_chat( + messages=[{"role": "user", "content": "buy 1 AAPL"}], + user_message="buy 1 AAPL", + ) + completion_mock.assert_called_once() + kwargs = completion_mock.call_args.kwargs + assert kwargs["model"] == client.MODEL + assert kwargs["response_format"] is LLMResponse + assert kwargs["extra_body"] == client.EXTRA_BODY + + assert result.message == "Bought." + assert len(result.trades) == 1 + assert result.trades[0].ticker == "AAPL" + + +def test_is_mock_enabled(monkeypatch) -> None: + monkeypatch.setenv("LLM_MOCK", "true") + assert client.is_mock_enabled() + monkeypatch.setenv("LLM_MOCK", "TRUE") + assert client.is_mock_enabled() + monkeypatch.setenv("LLM_MOCK", "false") + assert not client.is_mock_enabled() + monkeypatch.delenv("LLM_MOCK") + assert not client.is_mock_enabled() diff --git a/backend/tests/llm/test_mock.py b/backend/tests/llm/test_mock.py new file mode 100644 index 00000000..35d06688 --- /dev/null +++ b/backend/tests/llm/test_mock.py @@ -0,0 +1,52 @@ +"""Mock-mode pattern matching.""" + +from __future__ import annotations + +from app.llm.mock import mock_response + + +def test_buy_pattern_extracted() -> None: + r = mock_response("please buy 10 AAPL for me") + assert len(r.trades) == 1 + assert r.trades[0].side == "buy" + assert r.trades[0].quantity == 10 + assert r.trades[0].ticker == "AAPL" + + +def test_sell_pattern_extracted() -> None: + r = mock_response("sell 0.5 NVDA") + assert len(r.trades) == 1 + assert r.trades[0].side == "sell" + assert r.trades[0].quantity == 0.5 + + +def test_multiple_trades_in_one_message() -> None: + r = mock_response("buy 5 AAPL and sell 2 GOOGL") + sides = sorted([t.side for t in r.trades]) + assert sides == ["buy", "sell"] + + +def test_watchlist_add() -> None: + r = mock_response("add PYPL to my watchlist") + assert len(r.watchlist_changes) == 1 + assert r.watchlist_changes[0].ticker == "PYPL" + assert r.watchlist_changes[0].action == "add" + + +def test_watchlist_remove() -> None: + r = mock_response("remove TSLA from the watchlist") + assert len(r.watchlist_changes) == 1 + assert r.watchlist_changes[0].action == "remove" + + +def test_watchlist_word_required() -> None: + """'add PYPL' alone (no 'watchlist') should not trigger a watchlist change.""" + r = mock_response("add PYPL") + assert r.watchlist_changes == [] + + +def test_no_match_returns_generic_message() -> None: + r = mock_response("hello there") + assert r.trades == [] + assert r.watchlist_changes == [] + assert "mock mode" in r.message.lower() diff --git a/backend/tests/llm/test_service.py b/backend/tests/llm/test_service.py new file mode 100644 index 00000000..f48a3a46 --- /dev/null +++ b/backend/tests/llm/test_service.py @@ -0,0 +1,116 @@ +"""Chat orchestration tests using mock LLM mode.""" + +from __future__ import annotations + +import pytest + +from app import db +from app.llm import service as llm_service +from app.market import PriceCache + +from .conftest import StubMarketSource + + +async def test_user_and_assistant_persisted( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + user, assistant, actions = await llm_service.handle_user_message( + "hello", primed_cache, stub_source + ) + assert user.role == "user" + assert assistant.role == "assistant" + assert actions.is_empty() + history = db.chat.list_recent() + assert [m.id for m in history[-2:]] == [user.id, assistant.id] + + +async def test_trade_requires_explicit_approval( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + _, assistant, actions = await llm_service.handle_user_message( + "buy 1 AAPL", primed_cache, stub_source + ) + assert len(actions.trades) == 1 + assert actions.trades[0].status == "approval_required" + assert "explicit approval" in (actions.trades[0].error or "").lower() + assert "not approved for execution" in assistant.content.lower() + assert db.positions.get_position("AAPL") is None + + +async def test_buy_executed_when_llm_requests_with_approval( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + _, assistant, actions = await llm_service.handle_user_message( + "buy 1 AAPL", primed_cache, stub_source, allow_trade_execution=True + ) + assert len(actions.trades) == 1 + assert actions.trades[0].status == "executed" + assert actions.trades[0].cash_balance_after == pytest.approx(9_900.0) + pos = db.positions.get_position("AAPL") + assert pos is not None and pos.quantity == 1 + # Actions are persisted on the assistant message for rehydration on reload + assert assistant.actions is not None + assert assistant.actions["trades"][0]["status"] == "executed" + + +async def test_failed_trade_attached_not_raised( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + _, assistant, actions = await llm_service.handle_user_message( + "buy 10000 AAPL", primed_cache, stub_source, allow_trade_execution=True + ) + assert len(actions.trades) == 1 + assert actions.trades[0].status == "failed" + assert "insufficient" in actions.trades[0].error.lower() + # No position created on failure + assert db.positions.get_position("AAPL") is None + # The assistant message still got persisted with the failure recorded + assert assistant.actions["trades"][0]["status"] == "failed" + + +async def test_partial_success_one_trade_each( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + _, _, actions = await llm_service.handle_user_message( + "buy 1 AAPL and sell 5 TSLA", + primed_cache, + stub_source, + allow_trade_execution=True, + ) + by_ticker = {t.ticker: t for t in actions.trades} + assert by_ticker["AAPL"].status == "executed" + assert by_ticker["TSLA"].status == "failed" # no shares to sell + + +async def test_watchlist_add_executed( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + _, _, actions = await llm_service.handle_user_message( + "add PYPL to my watchlist", primed_cache, stub_source + ) + assert len(actions.watchlist_changes) == 1 + assert actions.watchlist_changes[0].ok is True + assert "PYPL" in db.watchlist.list_tickers() + assert "PYPL" in stub_source.added + + +async def test_watchlist_add_duplicate_failure( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + _, _, actions = await llm_service.handle_user_message( + "add AAPL to my watchlist", primed_cache, stub_source + ) + assert actions.watchlist_changes[0].ok is False + + +async def test_history_included_in_prompt( + temp_db: str, primed_cache: PriceCache, stub_source: StubMarketSource, mock_mode: None +) -> None: + """Sanity check that prior turns end up in the message list passed to the LLM.""" + db.chat.append_message("user", "prior question") + db.chat.append_message("assistant", "prior answer") + messages = llm_service._build_messages("now what?", primed_cache) + contents = [m["content"] for m in messages] + assert "prior question" in contents + assert "prior answer" in contents + assert contents[-1] == "now what?" diff --git a/backend/tests/market/test_cache.py b/backend/tests/market/test_cache.py index b5ab3d55..e1ba086c 100644 --- a/backend/tests/market/test_cache.py +++ b/backend/tests/market/test_cache.py @@ -96,6 +96,12 @@ def test_custom_timestamp(self): update = cache.update("AAPL", 190.50, timestamp=custom_ts) assert update.timestamp == custom_ts + def test_zero_timestamp_is_preserved(self): + """A zero timestamp should not be replaced with the current time.""" + cache = PriceCache() + update = cache.update("AAPL", 190.50, timestamp=0.0) + assert update.timestamp == 0.0 + def test_price_rounding(self): """Test that prices are rounded to 2 decimal places.""" cache = PriceCache() diff --git a/backend/tests/portfolio/__init__.py b/backend/tests/portfolio/__init__.py new file mode 100644 index 00000000..8cdfe4a9 --- /dev/null +++ b/backend/tests/portfolio/__init__.py @@ -0,0 +1 @@ +"""Portfolio domain tests.""" diff --git a/backend/tests/portfolio/conftest.py b/backend/tests/portfolio/conftest.py new file mode 100644 index 00000000..849709a9 --- /dev/null +++ b/backend/tests/portfolio/conftest.py @@ -0,0 +1,33 @@ +"""Portfolio test fixtures: temp DB + a pre-loaded PriceCache.""" + +from __future__ import annotations + +import os +from collections.abc import Iterator +from pathlib import Path + +import pytest + +from app import db +from app.market import PriceCache + + +@pytest.fixture +def temp_db(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[str]: + db_path = str(tmp_path / "portfolio.db") + monkeypatch.setenv("FINALLY_DB_PATH", db_path) + db.reset_initialization_state() + db.ensure_initialized() + yield db_path + db.reset_initialization_state() + if os.path.exists(db_path): + os.remove(db_path) + + +@pytest.fixture +def cache_with_prices() -> PriceCache: + cache = PriceCache() + cache.update("AAPL", 100.0) + cache.update("GOOGL", 200.0) + cache.update("TSLA", 250.0) + return cache diff --git a/backend/tests/portfolio/test_service.py b/backend/tests/portfolio/test_service.py new file mode 100644 index 00000000..753d06c8 --- /dev/null +++ b/backend/tests/portfolio/test_service.py @@ -0,0 +1,147 @@ +"""Trade execution and portfolio valuation tests.""" + +from __future__ import annotations + +import pytest + +from app import db +from app.market import PriceCache +from app.portfolio import service + + +def test_buy_with_no_existing_position(temp_db: str, cache_with_prices: PriceCache) -> None: + result = service.execute_trade(cache_with_prices, "AAPL", "buy", 10) + assert result.cash_balance_after == 10_000.0 - 10 * 100.0 + pos = db.positions.get_position("AAPL") + assert pos is not None + assert pos.quantity == 10 + assert pos.avg_cost == 100.0 + + +def test_buy_averages_cost_correctly(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 10) # @ 100 + cache_with_prices.update("AAPL", 120.0) + service.execute_trade(cache_with_prices, "AAPL", "buy", 5) # @ 120 + pos = db.positions.get_position("AAPL") + assert pos is not None + assert pos.quantity == 15 + # avg = (10 * 100 + 5 * 120) / 15 = 1600 / 15 = 106.6666... + assert pos.avg_cost == pytest.approx(1600 / 15) + + +def test_buy_insufficient_cash_raises(temp_db: str, cache_with_prices: PriceCache) -> None: + with pytest.raises(service.TradeError, match="Insufficient cash"): + service.execute_trade(cache_with_prices, "AAPL", "buy", 10_000) + + +def test_buy_unknown_ticker_raises(temp_db: str, cache_with_prices: PriceCache) -> None: + with pytest.raises(service.TradeError, match="No live price"): + service.execute_trade(cache_with_prices, "ZZZZ", "buy", 1) + + +def test_sell_partial_keeps_avg_cost(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 10) # @ 100 + cache_with_prices.update("AAPL", 150.0) + result = service.execute_trade(cache_with_prices, "AAPL", "sell", 4) + pos = db.positions.get_position("AAPL") + assert pos is not None + assert pos.quantity == 6 + assert pos.avg_cost == 100.0 # avg cost unchanged on sell + assert result.cash_balance_after == pytest.approx(10_000.0 - 1000.0 + 4 * 150.0) + + +def test_sell_full_deletes_position(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 10) + service.execute_trade(cache_with_prices, "AAPL", "sell", 10) + assert db.positions.get_position("AAPL") is None + + +def test_sell_more_than_held_raises(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 5) + with pytest.raises(service.TradeError, match="Insufficient shares"): + service.execute_trade(cache_with_prices, "AAPL", "sell", 10) + + +def test_sell_with_no_position_raises(temp_db: str, cache_with_prices: PriceCache) -> None: + with pytest.raises(service.TradeError, match="Insufficient shares"): + service.execute_trade(cache_with_prices, "AAPL", "sell", 1) + + +def test_invalid_side_raises(temp_db: str, cache_with_prices: PriceCache) -> None: + with pytest.raises(service.TradeError): + service.execute_trade(cache_with_prices, "AAPL", "hodl", 1) # type: ignore[arg-type] + + +def test_zero_quantity_raises(temp_db: str, cache_with_prices: PriceCache) -> None: + with pytest.raises(service.TradeError): + service.execute_trade(cache_with_prices, "AAPL", "buy", 0) + + +def test_invalid_ticker_rejected(temp_db: str, cache_with_prices: PriceCache) -> None: + with pytest.raises(service.TradeError, match="ticker must be 1-10 alphanumeric"): + service.execute_trade(cache_with_prices, "AAPL!", "buy", 1) + + +def test_quantity_precision_limited_to_four_decimals( + temp_db: str, cache_with_prices: PriceCache +) -> None: + with pytest.raises(service.TradeError, match="at most 4 decimal places"): + service.execute_trade(cache_with_prices, "AAPL", "buy", 0.12345) + + +def test_fractional_shares_supported(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 0.5) + pos = db.positions.get_position("AAPL") + assert pos is not None + assert pos.quantity == 0.5 + + +def test_trade_appended_to_log(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 5) + service.execute_trade(cache_with_prices, "AAPL", "sell", 2) + trades = db.trades.list_recent() + assert len(trades) == 2 + assert trades[0].side == "sell" + assert trades[1].side == "buy" + + +def test_trade_records_snapshot_immediately(temp_db: str, cache_with_prices: PriceCache) -> None: + before = db.snapshots.list_history() + service.execute_trade(cache_with_prices, "AAPL", "buy", 1) + after = db.snapshots.list_history() + assert len(after) == len(before) + 1 + assert after[-1].total_value == pytest.approx(10_000.0) + + +def test_portfolio_view_with_pnl(temp_db: str, cache_with_prices: PriceCache) -> None: + service.execute_trade(cache_with_prices, "AAPL", "buy", 10) # @ 100 + cache_with_prices.update("AAPL", 110.0) # +10% + view = service.get_portfolio_view(cache_with_prices) + assert view.cash_balance == 9_000.0 + assert len(view.positions) == 1 + p = view.positions[0] + assert p.market_value == 1100.0 + assert p.unrealized_pnl == 100.0 + assert p.unrealized_pnl_percent == pytest.approx(10.0) + assert view.total_value == 10_100.0 + + +def test_total_value_falls_back_to_cost_when_no_price(temp_db: str) -> None: + cache = PriceCache() + cache.update("AAPL", 100.0) + service.execute_trade(cache, "AAPL", "buy", 10) + cache.remove("AAPL") # price disappears + # Should not crash and should not zero-out the position + total = service.total_value(cache) + assert total == pytest.approx(10_000.0) # cash 9000 + 10 shares @ avg 100 + + +def test_stale_price_rejected(temp_db: str) -> None: + cache = PriceCache() + cache.update( + "AAPL", + 100.0, + timestamp=1.0, + ) + with pytest.raises(service.TradeError, match="stale"): + service.execute_trade(cache, "AAPL", "buy", 1) diff --git a/backend/tests/test_snapshot_task.py b/backend/tests/test_snapshot_task.py new file mode 100644 index 00000000..a7371c84 --- /dev/null +++ b/backend/tests/test_snapshot_task.py @@ -0,0 +1,66 @@ +"""Snapshot background task tests.""" + +from __future__ import annotations + +import asyncio +import os +from collections.abc import Iterator +from pathlib import Path + +import pytest + +from app import db +from app.market import PriceCache +from app.portfolio import service +from app.snapshot_task import run_snapshot_loop + + +@pytest.fixture +def temp_db(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Iterator[str]: + db_path = str(tmp_path / "snap.db") + monkeypatch.setenv("FINALLY_DB_PATH", db_path) + db.reset_initialization_state() + db.ensure_initialized() + yield db_path + db.reset_initialization_state() + if os.path.exists(db_path): + os.remove(db_path) + + +async def test_loop_records_then_stops(temp_db: str, monkeypatch: pytest.MonkeyPatch) -> None: + """With a tiny interval, the loop should record at least one snapshot before stopping.""" + monkeypatch.setattr("app.snapshot_task.SNAPSHOT_INTERVAL_SECONDS", 0.05) + + cache = PriceCache() + cache.update("AAPL", 100.0) + stop = asyncio.Event() + task = asyncio.create_task(run_snapshot_loop(cache, stop)) + + await asyncio.sleep(0.18) + stop.set() + await task + + history = db.snapshots.list_history() + assert len(history) >= 2 + # Initial portfolio is just $10k cash + assert history[0].total_value == pytest.approx(10_000.0) + + +async def test_loop_picks_up_position_changes( + temp_db: str, monkeypatch: pytest.MonkeyPatch +) -> None: + monkeypatch.setattr("app.snapshot_task.SNAPSHOT_INTERVAL_SECONDS", 0.05) + + cache = PriceCache() + cache.update("AAPL", 100.0) + service.execute_trade(cache, "AAPL", 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url("https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&family=Instrument+Serif:ital@0;1&display=swap"); + +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + --font-mono: "JetBrains Mono"; + --font-serif: "Instrument Serif"; +} + +html, +body { + background: #0a0e14; + color: #e6edf3; + font-family: var(--font-mono), ui-monospace, monospace; + font-feature-settings: "calt" 0, "liga" 0, "tnum" 1; /* tabular numerals always on */ + -webkit-font-smoothing: antialiased; +} + +/* Subtle phosphor-grain background — gives the dark surface depth without + turning it into a noisy texture. */ +body::before { + content: ""; + position: fixed; + inset: 0; + pointer-events: none; + background-image: + radial-gradient(circle at 20% 0%, rgba(32, 157, 215, 0.06), transparent 50%), + radial-gradient(circle at 80% 100%, rgba(236, 173, 10, 0.04), transparent 55%); + z-index: 0; +} + +/* Hairline grid lines reminiscent of a trading-floor display. + Sits behind everything; barely-there. */ +body::after { + content: ""; + position: fixed; + inset: 0; + pointer-events: none; + background-image: + linear-gradient(to right, rgba(255, 255, 255, 0.012) 1px, transparent 1px), + linear-gradient(to bottom, rgba(255, 255, 255, 0.012) 1px, transparent 1px); + background-size: 32px 32px; + z-index: 0; +} + +/* Custom selection — yellow highlight feels right for a terminal */ +::selection { + background: rgba(236, 173, 10, 0.35); + color: #fff; +} + +/* Scrollbars: hairline, terminal-restrained */ +::-webkit-scrollbar { width: 6px; height: 6px; } +::-webkit-scrollbar-track { background: transparent; } +::-webkit-scrollbar-thumb { background: #2a3340; border-radius: 999px; } +::-webkit-scrollbar-thumb:hover { background: #3a4555; } + +/* Utility for the terminal "marker bar" used as section dividers */ +.bar-l { box-shadow: inset 2px 0 0 0 currentColor; } + +/* Hairline border helper — used in lieu of border-line for crisp pixels at any DPI */ +.hairline { box-shadow: 0 0 0 1px #1f2630; } +.hairline-strong { box-shadow: 0 0 0 1px #2a3340; } diff --git a/frontend/app/layout.tsx b/frontend/app/layout.tsx new file mode 100644 index 00000000..11db8f83 --- /dev/null +++ b/frontend/app/layout.tsx @@ -0,0 +1,15 @@ +import type { Metadata } from "next"; +import "./globals.css"; + +export const metadata: Metadata = { + title: "FinAlly — Trading Workstation", + description: "AI-powered trading workstation with live market data and an LLM copilot.", +}; + +export default function RootLayout({ children }: { children: React.ReactNode }) { + return ( + + {children} + + ); +} diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx new file mode 100644 index 00000000..4f46cdcf --- /dev/null +++ b/frontend/app/page.tsx @@ -0,0 +1,89 @@ +"use client"; + +import { ChatPanel } from "@/components/chat-panel"; +import { ChartPanel } from "@/components/chart-panel"; +import { Header } from "@/components/header"; +import { HeatmapPanel } from "@/components/heatmap-panel"; +import { PnLChart } from "@/components/pnl-chart"; +import { PositionsTable } from "@/components/positions-table"; +import { TradeBar } from "@/components/trade-bar"; +import { ToastViewport } from "@/components/ui/toast-viewport"; +import { WatchlistPanel } from "@/components/watchlist-panel"; +import { ChatProvider } from "@/lib/store/chat"; +import { PortfolioProvider, usePortfolio } from "@/lib/store/portfolio"; +import { PricesProvider } from "@/lib/store/prices"; +import { ToastProvider } from "@/lib/store/toast"; +import { WatchlistProvider, useWatchlist } from "@/lib/store/watchlist"; + +function ConnectedShell() { + // After the assistant runs trades or watchlist edits, refresh dependent state. + const { refresh: refreshPortfolio } = usePortfolio(); + const { refresh: refreshWatchlist } = useWatchlist(); + return ( + { + refreshPortfolio(); + refreshWatchlist(); + }} + > + + + ); +} + +function Shell() { + return ( +
+
+
+
+ +
+ +
+ +
+ +
+ + +
+ +
+ + +
+ +
+ +
+
+ +
+ ); +} + +export default function HomePage() { + return ( + + + + + + + + + + ); +} diff --git a/frontend/components/chart-panel.tsx b/frontend/components/chart-panel.tsx new file mode 100644 index 00000000..6df5ee40 --- /dev/null +++ b/frontend/components/chart-panel.tsx @@ -0,0 +1,102 @@ +"use client"; + +import { + AreaSeries, + ColorType, + createChart, + type IChartApi, + type ISeriesApi, + type UTCTimestamp, +} from "lightweight-charts"; +import { useEffect, useRef } from "react"; + +import { Panel } from "@/components/ui/panel"; +import { usePrices } from "@/lib/store/prices"; +import { useWatchlist } from "@/lib/store/watchlist"; + +export function ChartPanel() { + const { selected } = useWatchlist(); + const { sparklines, prices } = usePrices(); + const containerRef = useRef(null); + const chartRef = useRef(null); + const seriesRef = useRef | null>(null); + + // Build / rebuild chart when the container is mounted + useEffect(() => { + if (!containerRef.current) return; + const chart = createChart(containerRef.current, { + layout: { + background: { type: ColorType.Solid, color: "transparent" }, + textColor: "#8b949e", + fontFamily: "JetBrains Mono, ui-monospace, monospace", + fontSize: 11, + }, + grid: { + vertLines: { color: "rgba(255,255,255,0.03)" }, + horzLines: { color: "rgba(255,255,255,0.03)" }, + }, + rightPriceScale: { borderColor: "#1f2630" }, + timeScale: { borderColor: "#1f2630", secondsVisible: true, timeVisible: true }, + crosshair: { vertLine: { color: "#2a3340" }, horzLine: { color: "#2a3340" } }, + autoSize: true, + }); + const series = chart.addSeries(AreaSeries, { + topColor: "rgba(32,157,215,0.30)", + bottomColor: "rgba(32,157,215,0.00)", + lineColor: "#209dd7", + lineWidth: 2, + priceFormat: { type: "price", precision: 2, minMove: 0.01 }, + }); + chartRef.current = chart; + seriesRef.current = series; + return () => { + chart.remove(); + chartRef.current = null; + seriesRef.current = null; + }; + }, []); + + const update = selected ? prices[selected] : undefined; + + // Push selected ticker's points into the series. Re-runs whenever the + // selected ticker's latest price changes — `sparklines` is a stable ref so + // we depend on the latest price update to drive ticks. + useEffect(() => { + if (!seriesRef.current || !selected) return; + const buf = sparklines[selected] ?? []; + if (buf.length === 0) { + seriesRef.current.setData([]); + return; + } + const seen = new Set(); + const data: { time: UTCTimestamp; value: number }[] = []; + for (const p of buf) { + const t = Math.floor(p.time); + if (seen.has(t)) continue; + seen.add(t); + data.push({ time: t as UTCTimestamp, value: p.price }); + } + data.sort((a, b) => (a.time as number) - (b.time as number)); + seriesRef.current.setData(data); + }, [selected, sparklines, update?.timestamp]); + + return ( + + ${update.price.toFixed(2)}{" "} + 0 ? "text-up" : update.change < 0 ? "text-down" : "text-dim"}> + {update.change > 0 ? "▲" : update.change < 0 ? "▼" : "·"} + {Math.abs(update.change_percent).toFixed(2)}% + + + ) + } + > +
+ + ); +} diff --git a/frontend/components/chat-panel.tsx b/frontend/components/chat-panel.tsx new file mode 100644 index 00000000..33921fc6 --- /dev/null +++ b/frontend/components/chat-panel.tsx @@ -0,0 +1,197 @@ +"use client"; + +import { useEffect, useRef, useState } from "react"; + +import { Panel } from "@/components/ui/panel"; +import { Button } from "@/components/ui/button"; +import { cn } from "@/lib/cn"; +import { qty, usd } from "@/lib/format"; +import { useChat } from "@/lib/store/chat"; +import { useToast } from "@/lib/store/toast"; +import type { ChatActionsPayload, ChatMessage } from "@/lib/types"; + +function ActionsBlock({ actions }: { actions: ChatActionsPayload }) { + const tradeTone = { + executed: "border-up bg-up/5 text-up", + approval_required: "border-accent bg-accent/5 text-accent", + recommended: "border-info bg-info/5 text-info", + failed: "border-down bg-down/5 text-down", + } as const; + const tradeLabel = { + executed: "executed", + approval_required: "approval required", + recommended: "recommended", + failed: "failed", + } as const; + + return ( +
+ {actions.trades.map((t, i) => ( +
+ {tradeLabel[t.status]} {t.side}{" "} + {qty(t.quantity)} {t.ticker}{" "} + {t.status === "executed" && t.price !== null ? ( + <> + @ {usd(t.price)} + {t.cash_balance_after !== null && ( + + · cash {usd(t.cash_balance_after)} + + )} + + ) : null} + {t.status === "recommended" ? ( + — analysis only + ) : null} + {t.status === "approval_required" ? ( + — resend with execute enabled + ) : null} + {t.status === "failed" ? ( + — {t.error} + ) : null} +
+ ))} + {actions.watchlist_changes.map((w, i) => ( +
+ watchlist {w.action} {w.ticker} + {!w.ok && — {w.error}} +
+ ))} +
+ ); +} + +function Bubble({ message }: { message: ChatMessage }) { + const isUser = message.role === "user"; + return ( +
+
+ {isUser ? "you" : "FinAlly"} +
+
+ {message.content} + {message.actions && } +
+
+ ); +} + +export function ChatPanel() { + const { messages, pending, send } = useChat(); + const { push } = useToast(); + const scrollRef = useRef(null); + const [text, setText] = useState(""); + const [allowTradeExecution, setAllowTradeExecution] = useState(false); + + useEffect(() => { + if (scrollRef.current) { + scrollRef.current.scrollTop = scrollRef.current.scrollHeight; + } + }, [messages, pending]); + + const onSubmit = async (e: React.FormEvent) => { + e.preventDefault(); + if (!text.trim()) return; + const draft = text; + setText(""); + try { + await send(draft, { allowTradeExecution }); + setAllowTradeExecution(false); + } catch (err) { + const detail = err instanceof Error ? err.message : "chat failed"; + push("error", detail); + } + }; + + return ( + + {pending ? "thinking…" : "ready"} + + } + > +
+ {messages.length === 0 && !pending && ( +
+ Try: "Analyze my portfolio",{" "} + "Should I buy 5 NVDA?", or{" "} + "Add PYPL to my watchlist". +
+ )} + {messages.map((m) => ( + + ))} + {pending && ( +
+
+ + + + + +
+
+ )} +
+
+
+