def from_record(cls, record_table):
time_utils = TimeUtils(record_table=record_table)
time_line = time_utils.time_line
# reset index of table
record_table.reset_index(inplace=True)
# add total fluid
record_table = avg_etdrs_columns(record_table,
rings=[1, 2],
regions=MeasureSeqAtrophy.REGIONS,
features=["atropy_percentage"],
foveal_region=["C0"],
new_column_name="avg_atrophy")
# round va
record_table.insert(loc=10,
column="cur_va_rounded",
value=record_table.cur_va.round(2),
allow_duplicates=True)
# add total injections
record_table = get_total_number_of_injections(table=record_table)
MeasureSeqAtrophy.DATA_POINTS = MeasureSeqAtrophy.DATA_POINTS + MeasureSeqAtrophy.ATROPHY_COLUMNS
# assign items to time line
for data_point in MeasureSeqAtrophy.DATA_POINTS:
time_line = time_utils.assign_to_timeline(time_line=time_line,
item=data_point)
# interpolate time vector
for item in ["avg_atrophy"] + MeasureSeqAtrophy.ATROPHY_COLUMNS:
time_line = interpolate_numeric_field(time_line, item=item)
treatment_dict = {}
# set treatment effect
for dist in ["three", "six"]:
time_line = SeqUtils.set_treatment_effect(time_line,
time_dist=dist,
item="avg_atrophy")
item = f"{dist}_month_effect"
treatment_dict[f"{dist}_month"] = SeqUtils.get_treatment_effect(
item, time_line)
# check if naive record
naive = SeqUtils.is_naive(record_table)
# get number of injections total
number_of_injections = SeqUtils.get_seq_number_of_injections(time_line)
return cls(meta_data=record_table.iloc[0],
time_line=time_line,
naive=naive,
number_of_injections=number_of_injections,
treatment_dict=treatment_dict)
def from_record(cls, record_table):
time_utils = TimeUtils(record_table=record_table)
time_line = time_utils.time_line
# initalize sequence class
super().__init__(SeqUtils, time_line)
# reset index of table
record_table.reset_index(inplace=True)
# add total fluid
record_table = sum_etdrs_columns(record_table,
rings=[1, 2],
regions=MeasureSeqGeneral.REGIONS,
features=[3, 4],
foveal_region=["C0"],
new_column_name="total_fluid")
record_table = avg_etdrs_columns(record_table,
rings=[1, 2],
regions=MeasureSeqGeneral.REGIONS,
features=["atropy_percentage"],
foveal_region=["C0"],
new_column_name="avg_atrophy")
# round va
record_table.insert(loc=10,
column="cur_va_rounded",
value=record_table.cur_va.round(2))
# add total injections
# record_table = get_total_number_of_injections(table = record_table)
# assign items to time line
for data_point in MeasureSeqGeneral.DATA_POINTS:
time_line = time_utils.assign_to_timeline(time_line=time_line,
item=data_point)
# interpolate time vector
for item in ["total_fluid", "avg_atrophy"]:
time_line = interpolate_numeric_field(time_line, item=item)
# check if naive record
naive = SeqUtils.is_naive(record_table)
# get number of injections total
number_of_injections = SeqUtils.get_seq_number_of_injections(time_line)
return cls(meta_data=record_table.iloc[0],
time_line=time_line,
naive=naive,
number_of_injections=number_of_injections)
#-*- coding: UTF-8 -*-
import requests
import threading
import core.config.global_var as fd
from utils.stock_breed import StockBreed
from utils.time_utils import TimeUtils
from utils.logging import Log
lock = threading.Lock()
# 取系统品种
sb = StockBreed()
# 时间
tu = TimeUtils()
#日志
log = Log().getInstance("timer_task")
#运算线程 10秒执行一次
def update_position_status():
lock.acquire()
try:
log.info("更新仓位状态：" + "START")
sb.update_position()
log.info("更新仓位状态：" + "END")
except Exception as e:
log.error(e)
lock.release()
lock.release()
from xml.etree import ElementTree as eTree
from functools import reduce
from conf.constants import *
from conf.search_params_define import *
from conf.cache_params_define import LOOKBACK_MUC_CACHE, LOOKBACK_SINGLE_CACHE
from utils.redis_utils import RedisUtil
from utils.dsl import DSL
from utils.authorization import md5
from utils.time_utils import TimeUtils
from utils.common_utils import TextHandler
import utils.common_sql
user_data = utils.common_sql.user_data
domain = utils.common_sql.domain
dsl = DSL()
time_util = TimeUtils()
text_handler = TextHandler()
# 生成logger
log_path = get_logger_file('search.log')
lookback_logger = configure_logger('search', log_path)
redis_util = RedisUtil()
COMMON_DSL = {
"conversation_aggs": {
"terms": {
"field": "conversation",
"size": 80,
"collect_mode": "breadth_first"
},
"aggs": {
#!/usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = 'jingyu.he'
import json
from utils.common_sql import UserLib
from xml.etree import ElementTree as eTree
from conf.search_params_define import if_lookback, if_es
from conf.cache_params_define import SINGLE_KEY, MUC_KEY, SINGLE_TRACE_KEY, MUC_TRACE_KEY, SINGLE_CACHE, MUC_CACHE, \
ALL_USER_DATA_CACHE, USER_MUCS
from utils.redis_utils import RedisUtil
from utils.logger_conf import get_logger_file, configure_logger
from utils.redis_utils import redis_cli
from utils.common_sql import UserLib, AsyncLib, if_async
from utils.time_utils import TimeUtils
time_utils = TimeUtils()
log_path = get_logger_file('search.log')
lookback_logger = configure_logger('search', log_path)
cache_redis_cli = RedisUtil()
class LookbackLib:
def __init__(self, args, user_id, timeout=5):
# 参数获取
self.timeout=timeout
userlib = None
self.args = args
self.user = user_id
self.group_id = args.get("groupid", "")
self.offset = int(args.get("start", 0))
def get_index_name():
time_utils = TimeUtils()
index = time_utils.get_next_month_index()
indexes = ['qc' + '_' + index, index]
return indexes