update

web/robo_controller.py

@@ -2,7 +2,6 @@ import datetime as dt
 import json
 import logging
 import os
-from statistics import pstdev
 from tempfile import TemporaryDirectory
 
 import pandas as pd
@@ -10,9 +9,9 @@ import uvicorn
 from apscheduler.schedulers.asyncio import AsyncIOScheduler
 from apscheduler.triggers.date import DateTrigger
 from dateutil.relativedelta import relativedelta
-from empyrical import sharpe_ratio, annual_volatility, annual_return
+from empyrical import annual_volatility, annual_return
 from fastapi import FastAPI, Request
-from py_jftech import prev_workday, filter_weekend, autowired, next_workday, sendmail, format_date, get_config
+from py_jftech import prev_workday, filter_weekend, autowired, sendmail, format_date, get_config
 from starlette.responses import JSONResponse
 
 import main
@@ -85,7 +84,8 @@ async def recommend():
         funds = json.loads(sig['portfolio'])
         rec_list = []
         portfolios = {'recomm_guid': REC_GID}
-        load_report(max_date=prev_workday(dt.date.today()), min_date=(dt.date.today()) - relativedelta(years=1))
+        last_year = dt.datetime(dt.date.today().year - 1, 12, 31)
+        load_report(max_date=last_year, min_date=last_year - relativedelta(years=10))
         data = {'recomm_guid': REC_GID, 'data_date': sig['create_time'].strftime('%Y-%m-%d'),
                 'funds': [{'weight': round(weight * 100), 'fund_id': id_ticker_map[key]['ftTicker']} for key, weight in
                           funds.items()], 'creat_date': sig['create_time'].strftime('%Y-%m-%d %H:%M:%S'),