def main():
db_client = mongo.connect_to_mongo(db_name='evo_v2',
drop_db=True,
localhost=False)
try:
ModelInterface.drop_from_cloud(object_id='5d2183b7eb5d66251fb1896f')
finally:
db_client.close()
def main():
db_client = mongo.connect_to_mongo()
try:
while True:
pick_one_experiment_and_fine_tune()
time.sleep(10)
finally:
db_client.close()
def main():
try:
db_client = mongo.connect_to_mongo()
while not Path('stop').is_file():
pick_one_experiment_and_run()
time.sleep(10)
os.remove('stop')
l.info("Found stop file and has stopped processing queue")
finally:
db_client.close()
def main():
db_client = mongo.connect_to_mongo(db_name='tests', drop_db=True, localhost=False)
try:
opt_conf_id = create_test_optimization_config()
# conf_id = create_test_configuration()
exp_id = create_test_experiment(opt_conf_id)
pick_one_experiment_and_run()
model_object_id, model_id = train_test_model(exp_id)
model = load_test_model_by_object_id(model_object_id)
model = load_test_model_by_id(model_id)
# assert False
delete_test_model(model_object_id)
finally:
db_client.close()
def connect_to_db():
print('Open connection')
g.db_client = mongo.connect_to_mongo(db_name='evo_v2')
def before_request():
print('Open connection')
g.db_client = mongo.connect_to_mongo()
os.chdir('..')
import time
import sys
sys.path.append('.')
from flask import Flask, request, g
from py.inference import InferencePack
from py.logger import l
import py.mongo as mongo
os.chdir('./py')
sec_codes = ['GZ', 'RI', 'SR', 'GD']
time_code = 'U9'
db_client = mongo.connect_to_mongo()
inf_packs = {}
for sec_code in sec_codes:
inf_packs[sec_code + time_code] = InferencePack(sec_code + time_code)
db_client.close()
app = Flask(__name__)
@app.before_request
def before_request():
print('Open connection')
g.db_client = mongo.connect_to_mongo()
@app.teardown_appcontext
import os
os.chdir('..')
import time
import sys
sys.path.append('.')
from mongoengine.connection import disconnect
from importlib import reload
import py.classes as classes
reload(classes)
import py.mongo as mongo
reload(mongo)
db = mongo.connect_to_mongo(db_name='evo_v2')
import py.models as models
reload(models)
import py.dataset as dataset
reload(dataset)
import py.inference as inference
reload(inference)
import pprint
import json
import logging
