def __init__(self):
self.url_for_test_proxy = cfg.url_for_test_proxy
self.headers = cfg.random_headers()
self.thread_pool = ThreadPoolExecutor(
max_workers=cfg.thread_pool_workers)
self.proxy_options = {}
self.proxies = []
self.my_log = my_log.get_logger(__name__)
def __init__(self, config):
# Logging
LOG_FILE = "my_app.log"
self.my_logger = my_log.get_logger("PDF_Log", LOG_FILE)
# App logic
self.input_dir = Path(config['Paths']["input folder"])
self.output_dir = Path(config['Paths']["output folder"])
self.changes_dir = Path(config['Paths']["changes folder"])
self.error_file = Path(config['Paths']["error file"])
self.changes = self.analize_changes()
from db_classes.saver import Saver
from proxy_manager import ProxyManager
import config as cfg
import my_log
main_logger = my_log.get_logger(__name__)
main_logger.info('program started')
saver = Saver()
proxy_manager = ProxyManager()
from abc import ABC, abstractmethod
from typing import List
import numpy as np
import tensorflow as tf
import jsonpickle
import my_log
from batch_builder import InputProcessor, EndOfDatasetException
# logging options
np.set_printoptions(suppress=True)
tf.logging.set_verbosity(tf.logging.DEBUG)
logger = my_log.get_logger('root')
# constants definition
FORM_ONLY = 'form_only'
CONTEXT_ONLY = 'context_only'
SINGLE_PARAMETER = 'single_parameter'
GATED = 'gated'
DEFAULT = 'default'
CLUSTERING = 'clustering'
COMBINATORS = [FORM_ONLY, CONTEXT_ONLY, SINGLE_PARAMETER, GATED]
CONTEXT_WEIGHTS = [DEFAULT, CLUSTERING]
class RareWordVectorizer(ABC):
@abstractmethod
def train(self,
num_epochs: int,
batch_size: int,
import time
import matplotlib.pyplot as plt
import numpy as np
from my_log import get_logger
from analyse import solver, nsga as sm, nsga_platypus as nsagii
from mongo import mongo as db
LOG = get_logger('compare-solver')
#iterations = [1000, 2000, 3000, 5000, 10000]#, 20000, 30000, 50000]
iterations = [50000]
# for ordered in db.get_portfolio_by_id('598dc26208ed83001321a939'):
for ordered in db.get_portfolio_by_id('60a1507fdb94780001237585'):
sharpes_sm = list()
sharpes_nsga = list()
sharpes_nsgaiii = list()
wgmean_sm = list()
wgmean_nsga = list()
wgmean_nsgaiii = list()
time_sm = list()
time_nsga = list()
time_nsgaiii = list()
trade_codes = list()
for stock in ordered.max_item.stocks:
trade_codes.append(stock.trade_code)
stocks = list()
for trade_code in trade_codes:
def __init__(self):
self.log = my_log.get_logger(__name__)
self.log.debug('Saver was created')
engine = create_engine("sqlite:///" + cfg.dbconfig['database'] + ".db")
self.conn = engine.connect()
