def __init__(self, db_path=None, log_file=None):
self.panels = {}
self.symbols = []
self._last_symbols = None
# Setup a logger, we might need it immediately below
log_file = log_file or 'tickprocess_worker.log'
self.logger = get_logger(name=str(self.__class__), log_file=log_file)
# DB related
try:
self._db_meta = get_metadata(db_path)
except Exception as e:
self.logger.error(e)
self._db_meta = None
raise TickProcessWorkerExceptionDBInit("Failed to Init DB")
self._profiling = False
import time
import random
from collections import namedtuple
from datetime import datetime as dt
import requests
from tickerplot.nse.nse_utils import nse_get_all_stocks_list
from tickerplot.utils.logger import get_logger
from tickerplot.sql.sqlalchemy_wrapper import create_or_get_nse_corp_actions_hist_data
from tickerplot.sql.sqlalchemy_wrapper import execute_many_insert
from tickerplot.sql.sqlalchemy_wrapper import get_metadata
module_logger = get_logger(os.path.basename(__file__))
#FIXME : Implement bonus/split processing from a specific date.
# _CorpActionAll is a named tuple of following type
#"Symbol","Company","Industry","Series","Face Value(Rs.)","Purpose",
# "Ex-Date","Record Date","BC Start Date","BC End Date",
# "No Delivery Start Date","No Delivery End Date"
_CorpActionAll = namedtuple('_CorpActionAll', [
'sym', 'name', 'industry', 'series', 'fv', 'purpose', 'ex_date',
'rec_date', 'bc_sdate', 'bc_edate', 'nd_sdate', 'nd_edate'
])
CorpAction = namedtuple('CorpAction',
['sym', 'ex_date', 'action', 'ratio', 'delta'])
