Files
quant-factor-research/web/lab/views.py

114 lines
2.7 KiB
Python

from __future__ import annotations
import sqlite3
from dataclasses import dataclass
from pathlib import Path
from typing import Any
from django.conf import settings
from django.http import HttpRequest, HttpResponse
from django.shortcuts import render
@dataclass
class TrialRow:
ann_return: float | None
ann_vol: float | None
max_drawdown: float | None
sharpe: float | None
trades_per_year: float | None
ts_utc: str | None
run_id: str | None
config_path: str | None
def _db_path() -> Path:
return Path(getattr(settings, "QFR_EXPERIMENTS_DB"))
def _connect() -> sqlite3.Connection:
con = sqlite3.connect(str(_db_path()))
con.row_factory = sqlite3.Row
return con
def index(request: HttpRequest) -> HttpResponse:
return render(
request,
"lab/index.html",
{
"db_path": str(_db_path()),
},
)
def top_trials(request: HttpRequest) -> HttpResponse:
limit = int(request.GET.get("limit", "50"))
limit = max(10, min(500, limit))
rows: list[dict[str, Any]] = []
summary: dict[str, Any] = {}
with _connect() as con:
cur = con.execute(
"""
SELECT ann_return, ann_vol, max_drawdown, sharpe, trades_per_year, ts_utc, run_id, config_path
FROM trials
WHERE ann_return IS NOT NULL
ORDER BY ann_return DESC
LIMIT ?
""",
(limit,),
)
rows = [dict(r) for r in cur.fetchall()]
cur2 = con.execute(
"""
SELECT
COUNT(*) AS n,
MAX(ann_return) AS best_ann,
MIN(max_drawdown) AS worst_dd,
MIN(trades_per_year) AS min_tpy,
MAX(trades_per_year) AS max_tpy
FROM trials
"""
)
summary = dict(cur2.fetchone())
return render(
request,
"lab/top_trials.html",
{
"rows": rows,
"summary": summary,
"limit": limit,
},
)
def best_artifacts(request: HttpRequest) -> HttpResponse:
limit = int(request.GET.get("limit", "50"))
limit = max(10, min(500, limit))
rows: list[dict[str, Any]] = []
with _connect() as con:
cur = con.execute(
"""
SELECT id, ts_utc, config_path, out_equity, out_weights, out_trades,
ann_return, ann_vol, max_drawdown, trades_per_year, params_json
FROM best_artifacts
ORDER BY id DESC
LIMIT ?
""",
(limit,),
)
rows = [dict(r) for r in cur.fetchall()]
return render(
request,
"lab/best_artifacts.html",
{
"rows": rows,
"limit": limit,
},
)