def save_stocks(all_stocks):
"""save all stocks (names, symbol, women_lead etc.. ) in the database from AA API """
women_lead = [
'GM', 'BBY', 'ANTM', 'HSY', 'VTR', 'ORCL', 'TPR', 'ULTA', 'NDAQ',
'DUK', 'PGR', 'OXY', 'BEN', 'SYF', 'VRTX', 'CDW', 'CUS', 'OTIS', 'REG',
'ZTS', 'CLX', 'ROST', 'CE', 'AMD', 'ACN', 'GPS', 'UPS', 'ANET', 'NOC'
]
count = 0
for stock in all_stocks:
print(stock)
if count != 0:
if stock[0] in women_lead:
stockInfo = Stock(symbol=stock[0],
stock_name=stock[1],
exchange=stock[2],
asset_type=stock[3],
status=[4],
ipo_date=stock[5],
delisting_date=stock[6],
women_lead=True)
else:
stockInfo = Stock(symbol=stock[0],
stock_name=stock[1],
exchange=stock[2],
asset_type=stock[3],
status=[4],
ipo_date=stock[5],
delisting_date=stock[6])
db.session.add(stockInfo)
db.session.commit()
count += 1
return "Finished"
def run():
from cqlengine import connection
connection.setup(['127.0.0.1'], "cqlengine")
from cqlengine import management
management.drop_table(Stock)
management.sync_table(Stock)
Stock.create(name="WPRO", prices={
datetime.date(2014, 12, 1): 200
, datetime.date(2014, 12, 2): 220.45
, datetime.date(2014, 12, 3): 250.67
, datetime.date(2014, 12, 4): 246.86
, datetime.date(2014, 12, 5): 201
, datetime.date(2014, 12, 6): 233
, datetime.date(2014, 12, 7): 245
, datetime.date(2014, 12, 8): 300
, datetime.date(2014, 12, 9): 307
, datetime.date(2014, 12, 10): 180
, datetime.date(2014, 12, 11): 405
, datetime.date(2014, 12, 12): 400
, datetime.date(2014, 12, 13): 670
, datetime.date(2014, 12, 14): 260
, datetime.date(2014, 12, 15): 250
, datetime.date(2014, 12, 16): 251
, datetime.date(2014, 12, 17): 254
, datetime.date(2014, 12, 18): 267
, datetime.date(2014, 12, 19): 270
}, events={
datetime.date(2014, 12, 13): "Something happened over here",
datetime.date(2014, 12, 19): "The bears are playing"
})
Stock.create(name="INFY", prices={
datetime.date(2014, 8, 1): 3200
, datetime.date(2014, 8, 2): 3220.45
, datetime.date(2014, 8, 3): 3250.67
, datetime.date(2014, 8, 4): 3246.86
, datetime.date(2014, 8, 5): 3201
, datetime.date(2014, 8, 6): 3233
, datetime.date(2014, 8, 7): 3245
, datetime.date(2014, 8, 8): 3300
, datetime.date(2014, 8, 9): 3307
, datetime.date(2014, 8, 10): 3180
, datetime.date(2014, 8, 11): 3405
, datetime.date(2014, 8, 12): 3400
, datetime.date(2014, 8, 13): 3670
, datetime.date(2014, 8, 14): 3260
, datetime.date(2014, 8, 15): 3250
, datetime.date(2014, 8, 16): 3251
, datetime.date(2014, 8, 17): 3254
, datetime.date(2014, 8, 18): 3267
, datetime.date(2014, 8, 19): 3270
})
def AlarmeMedicamentos(self, idFarmacia):
with self.lock:
listStock = self.DB.SelectStock(idFarmacia)
for s in listStock:
if s.quantidade < 4:
rec = Stock(s.idFarm, s.nome, s.quantidade)
self.DB.InsertAlarme(idFarmacia, rec)
def create_stock(ticker, exchange, assetType, priceCurrency, startDate,
endDate):
stock = Stock(ticker=ticker,
exchange=exchange,
assetType=assetType,
priceCurrency=priceCurrency,
startDate=startDate,
endDate=endDate)
db.session.add(stock)
db.session.commit()
return stock
def UpdateStock(self, idFarmacia, nomeMedic, quantidade):
stockRec = self.SearchMedicamentoInStock(idFarmacia, nomeMedic)
if stockRec == None:
rec = Stock(idFarmacia, nomeMedic, quantidade)
self.DB.InsertStock(idFarmacia, rec)
else:
stockRec.condition.acquire()
stockRec.quantidade += quantidade
stockRec.condition.notify_all()
stockRec.condition.release()
return 1
def portfolio_json():
"""JSONify the user's stock portfolio."""
# alluserstocks = StockUser.query.filter_by(user_id=session.get("user_id")).all()
# jsonlist=[]
# for userstock in alluserstocks:
# jsonlist.append(userstock.json())
# data = {"children":jsonlist,"name":"stockidentifier"}
# print data
# import pdb;pdb.set_trace()
data=Stock.clusternester(session.get("user_id"))
# outerdata = {"children": data, "name": "stockidentifier"}
return jsonify(data)
def getStocksByKey(keyword):
result = []
try:
conn = sqlite3.connect(DB_NAME)
# print("getStocks connect db successfully")
cur = conn.cursor()
cur.execute("select * from stock where name like ? or code=?",('%'+keyword+'%',keyword,))
items = cur.fetchall()
for item in items:
stock = Stock()
stock.code = item[0]
stock.name = item[1]
stock.prefix = item[2]
result.append(stock)
except Exception as e:
currentLogger.error("%s",e)
finally:
if cur!=None:
cur.close()
if conn!=None:
conn.close()
return result
def save_stock_list(stock_list):
session = DBSession()
for stock in stock_list:
symbol = stock["symbol"]
name = stock["name"]
stock_model = Stock(symbol, name)
session.add(stock_model)
session.commit()
session.close()
return True
def create_stock(symbol, name, description, industry, asset_type, currency,
employees):
stock = Stock(symbol=symbol,
name=name,
description=description,
industry=industry,
asset_type=asset_type,
currency=currency,
employees=employees)
db.session.add(stock)
db.session.commit()
return stock
def add_stock(**kwargs):
'''
kwargs = dict{
'date': str/date
'ticker': str
'p_open': float
'p_close': float
'volume': float
}
'''
to_add = Stock(date=kwargs['date'],
ticker=stock_date['ticker'],
p_open=kwargs['p_open'],
p_close=kwargs['p_close'],
volume=kwargs['volume'])
db.session.add(to_add)
db.session.commit()
def query_all_stock(self):
stocks = {}
data_source = DataSource()
conn = data_source.get_conn()
cur = conn.cursor()
try:
cur.execute("select id, code, name, bps ,eps ,net_income ,ngpr ,income ,sps ,fps ,udpps ,total_stock_issue,"
"liqui from stock order by id")
result = cur.fetchall()
for r in result:
stock = Stock(r[0], r[1], r[2], r[3], r[4], r[5], r[6],
r[7], r[8], r[9], r[10], r[11], r[12])
stocks[r[1]] = stock
return stocks
except:
self.__logger.error("Unexpected error: %s" % sys.exc_value)
return None
finally:
cur.close()
conn.close()
"payout_schedule": row["Payout Schedule"].strip(),
"stock_price": row["Stock Price"].strip()
}
with open('data/symbols.csv', 'r') as file:
csv_file = csv.DictReader(file)
for row in csv_file:
symbol = row['Ticker'].strip()
if symbol in stocks:
stocks[symbol]["company_name"] = row["Company Name"]
stocks[symbol]["sector"] = row["Sector"]
stocks[symbol]["payout_ratio"] = row[
"Dividend Payout Ratio"].strip()
stocks[symbol]["dividend_yield"] = row["Dividend Yield"].strip()
for stock in stocks:
print('stock', stocks[stock])
ticker = Stock(symbol=stocks[stock]['symbol'],
sector=stocks[stock]['sector'],
company_name=stocks[stock]['company_name'],
dividend_amount=stocks[stock]['dividend_amount'],
dividend_yield=stocks[stock]['dividend_yield'],
payout_schedule=stocks[stock]['payout_schedule'],
payout_ratio=stocks[stock]['payout_ratio'],
stock_price=stocks[stock]['stock_price'])
db.session.add(ticker)
db.session.commit()
# ***************************************************************************
#! /usr/bin/env python
import itertools
import functools
import time
from model import Stock, Trade
from service import StockService
from decimal import *
stock_count = itertools.count(1)
trade_count = itertools.count(1)
stock_list = [
Stock("TEA", "COMMON", 23, 0, 100, stock_count.next()),
Stock("POP", "COMMON", 8, 0, 100, stock_count.next()),
Stock("ALE", "COMMON", 12, 0, 109, stock_count.next()),
Stock("GIN", "PREFFERED", 23, 2, 100, stock_count.next()),
Stock("JOE", "COMMON", 13, 0, 250, stock_count.next())
]
symbol_list = [stock.symbol for stock in stock_list]
service = StockService({stock.symbol:stock for stock in stock_list})
def read_stock_symbol():
""" Reading Stock Symbol from input"""
symbol = ""
while(True):
symbol = raw_input("Enter stock symbol:")
if(symbol in symbol_list):
break
def by_symbol(symbol):
return jsonify(trends=[stock.serialize() for stock in Stock.objects(Stock.name == symbol).allow_filtering()])
daily.turnover = item[30]
result.append(daily)
except Exception as e:
currentLogger.error("%s",e)
finally:
if cur!=None:
cur.close()
if conn!=None:
conn.close()
return result[::-1]
if __name__ == "__main__":
from model import Stock, Daily
stock = Stock()
stock.name = "美的集团"
stock.code = "000333"
stock.prefix = "sz"
insertStock(stock)
daily = Daily()
daily.code = "000333"
daily.date = "2021-02-10"
daily.open = "102.9"
daily.last_close = "101.7"
daily.current = "107.2"
daily.high = "108"
daily.low = "101.5"
daily.quantity = "8654778686"
daily.amount = "1545678968498786.01"
from sys import argv
from model import Stock, Exchange, Company
from config import DBURL
import pandas as pd
from sqlalchemy.orm import sessionmaker, relation, backref
from sqlalchemy import create_engine
script, filename = argv
#filename = 'data/stock.csv'
engine = create_engine(DBURL)
Session = sessionmaker(bind = engine)
session = Session()
data = pd.read_csv(filename, sep=',', header=0)
for i in range(0,len(data)):
code = data['key'][i]
session.add(Stock(code))
session.commit()
import sqlalchemy as sa from sqlalchemy.orm import Query, scoped_session, sessionmaker import datetime from model import Publisher, Book, Shop, Stock, Sale from engine_session import engine, Session #################### setup some data ###################### pub1 = Publisher(name='МИФ') sa.session.add(pub1) sa.session.commit() book1 = Book(title='45 татуировок менеджера', id_publisher=0) sa.session.add(book1) sa.session.commit() sh1 = Shop(name='Буквоед-1') sa.session.add(sh1) sa.session.commit() st1 = Stock(id_book=0, id_shop=0, count=100) sa.session.add(st1) sa.session.commit() sale1 = Sale(price=570, date_sale=datetime.today(), id_stock=0, count=84) sa.session.add(sale1) sa.session.commit()
def callback(self, ch, method, properties, body: bytes) -> None:
stock = Stock()
session.add(stock)
session.commit()
print(" [x] Received %r" % body.decode('utf8'))
