def main(reset_process, initialize_db, experiment_name, remove=None):
    """Populate db with experiments to run."""
    main_config = config.Config()
    log = logger.get(os.path.join(main_config.log_dir, 'prepare_experiments'))
    if reset_process:
        db.reset_in_process()
        log.info('Reset experiment progress counter in DB.')
    if initialize_db:
        db.initialize_database()
        log.info('Initialized DB.')
    if experiment_name is not None:  # TODO: add capability for bayesian opt.
        db_config = credentials.postgresql_connection()
        experiment_dict = experiments()[experiment_name]()
        if 'hp_optim' in experiment_dict.keys(
        ) and experiment_dict['hp_optim'] is not None:
            exp_combos = hp_optim_parameters(experiment_dict, log)
            log.info('Preparing an hp-optimization experiment.')
        else:
            exp_combos = package_parameters(experiment_dict, log)
            log.info('Preparing a grid-search experiment.')
        with db.db(db_config) as db_conn:
            db_conn.populate_db(exp_combos)
            db_conn.return_status('CREATE')
        log.info('Added new experiments.')
    if remove is not None:
        db_config = credentials.postgresql_connection()
        with db.db(db_config) as db_conn:
            db_conn.remove_experiment(remove)
        log.info('Removed %s.' % remove)
Exemple #2
0
 def GET(self):
     input_data = web.input()
     channel    = input_data.get('channel')
     date       = input_data.get('date')
     model      = db()
     
     if (not channel) or (not date):
         return 'error'
     else:
         url = url_builder(channel).set_data_by_str(date).build()
         
         if (not model.select(url)):
             epg.get(date)
             
         plist = model.select(url)
         if (plist):
             mdict               = {}
             mdict['date']       = date
             mdict['channel']    = channel
             mdict['list']       = []
             mdict['total_size'] = len(plist)
             for prog in plist:
                 tmp              = {}
                 prog             = eval(prog)
                 tmp['time']      = prog[0]
                 tmp['name']      = prog[1]
                 tmp['cover_url'] = "www.qq.com"
                 mdict['list'].append(tmp)
             return json.dumps(mdict)
         else:
             return 'no keys' 
Exemple #3
0
 def GET(self):
     mdict                 = {}
     program_list,now      = db().get_showing_list()
     for elem in program_list:
         elem['cover_url'] = "www.qq.com"
     mdict['total_size']   = len(program_list)
     mdict['list']         = program_list
     mdict['current_time'] = now
     return json.dumps(mdict)
Exemple #4
0
    def GET(self):
        mdict      = {}
        input_data = web.input()
        day_time   = input_data.get('daytime')
        clock_time = input_data.get('clocktime')

        url  = url_builder('cctv1').set_data_by_str(day_time).build()
        model = db()
            
        if (not model.select(url)):
            epg.get(day_time)
                
        program_list,query_time = db().get_certaintime_list(clock_time, day_time)
        
        for elem in program_list:
            elem['cover_url'] = "www.qq.com"
        mdict['total_size']   = len(program_list)
        mdict['list']         = program_list
        mdict['query_time'] = query_time
        return json.dumps(mdict)
Exemple #5
0
    def __init__(self, Full_name, email, salary, is_manager, health_rate):
        self.full_name = Full_name
        regex = '^[a-z0-9]+[\._]?[a-z0-9]+[@]\w+[.]\w{2,3}$'
        if re.search(regex, email):
            self.Email = email
        else:
            raise Exception("Sorry, email isn't valid")

        if salary >= 1000:
            self.Salary = salary
        else:
            raise Exception("Sorry, salary must be 1000 or more")

        if 0 < health_rate < 100:
            self.Health_rate = health_rate
        else:
            self.healthRate = random.randrange(1, 100, 1)

        if is_manager == 0 or is_manager == 1:
            self.Is_manager = is_manager
        else:
            raise Exception("Sorry, is_manager must be 0 or 1")

        db().insert_emp((Full_name, email, salary, is_manager))
Exemple #6
0
    def __init__(self, filehandles, process_num):
        threading.Thread.__init__(self)
        self.handles = filehandles
        self.__entries_processed = 0
        self.__successful_entries = 0
        self.__exception_count = 0
        self.__retry_time = 5
        self.__active = True
        self.__process_num = process_num
        self.db = db()
        self.processor = Processor()
        self.spamhaus = Spamhaus()
        self.phishtank = Phishtank()

        self.user_agent = ("Mozilla/5.0 (X11; Linux x86_64)"
                           " AppleWebKit/537.36 (KHTML, like Gecko) "
                           "Chrome/47.0.2526.106 Safari/537.36")
Exemple #7
0
class CrudDoctor(Crud):
    connection = db()
    cursor = connection.cursor()

    def crear(self, **kwargs):
        super().crear(**kwargs)
        doctor_name = kwargs.get("doctor_name")
        e_doctor = kwargs.get("speciality")
        hospital_id = kwargs.get("hospital_id")
        self.cursor.execute(
            "INSERT INTO doctor (doctor_name , speciality , hospital_id) values(%s,%s,%s)",
            (doctor_name, e_doctor, hospital_id),
        )
        self.connection.commit()

    def mostrar(self, **kwargs):
        super().mostrar(**kwargs)
        self.cursor.execute(
            "SELECT doctor.doctor_name, doctor.speciality, hospital.hospital_name FROM hospital INNER JOIN doctor ON hospital.hospital_id = doctor.hospital_id"
        )
        rows = self.cursor.fetchall()
        return rows

    def eliminar(self, **kwargs):
        pass

    def mostrarId(self, **kwargs):
        pass

    def editar(self, **kwargs):
        super().editar(**kwargs)
        doctor_name = kwargs.get("doctor_name")
        e_doctor = kwargs.get("speciality")
        hospital_id = kwargs.get("hospital_id")
        id_doctor = kwargs.get("id_doctor")
        self.cursor.execute(
            "UPDATE doctor SET doctor_name = %s, speciality = %s , hospital_id = %s WHERE doctor_id = %s",
            (doctor_name, e_doctor, hospital_id, id_doctor),
        )
        self.connection.commit()

    def eliminar(self, **kwargs):
        super().eliminar(**kwargs)
        id_doctor = kwargs.get("id_doctor")
        self.cursor.execute("DELETE FROM doctor WHERE doctor_id = %s", (id_doctor))
        self.connection.commit()
class CrudHospital(Crud):
    connection = db()
    cursor = connection.cursor()

    def crear(self, **kwargs):
        super().crear(**kwargs)
        hospital_name = kwargs.get("hospital_name")
        self.cursor.execute("INSERT INTO hospital (hospital_name) values(%s)",
                            (hospital_name, ))
        self.connection.commit()

    def mostrar(self, **kwargs):
        super().mostrar(**kwargs)
        self.cursor.execute("SELECT * FROM hospital")
        rows = self.cursor.fetchall()
        return rows

    def eliminar(self, **kwargs):
        pass

    def mostrarId(self, **kwargs):
        super().mostrar(**kwargs)
        hospital_id = kwargs.get("hospital_id")
        self.cursor.execute(
            "SELECT hospital_name FROM hospital where hospital_id = %s ",
            (hospital_id))
        rows = self.cursor.fetchone()
        return rows

    def editar(self, **kwargs):
        super().editar(**kwargs)
        hospital_id = kwargs.get("hospital_id")
        hospital_name = kwargs.get("hospital_name")
        self.cursor.execute(
            "UPDATE hospital SET hospital_name = %s WHERE hospital_id = %s",
            (hospital_name, hospital_id),
        )
        self.connection.commit()

    def eliminar(self, **kwargs):
        super().eliminar(**kwargs)
        hospital_id = kwargs.get("hospital_id")
        self.cursor.execute("DELETE FROM hospital WHERE hospital_id = %s",
                            (hospital_id))
        self.connection.commit()
Exemple #9
0
 def get_employee(self, id):
     employee = db().get_emp_by_id(id)
     print(employee)
Exemple #10
0
 def get_all_employees(self):
     employees = db().get_all_emp()
     print(employees)
Exemple #11
0
 def exercises(data):
     selector = db()
     return selector.retrieveState(
         """SELECT o.NAME, e.day, e.dID, e.eID FROM exercises o, groups e where o.exID = e.eID"""
     )
Exemple #12
0
 def setExercise(data):
     inserter = db()
     return inserter.updateState(data["values"])
Exemple #13
0
 def check(self, vid, *args):
     model = db()
     if (model.check_video_exist_by_id(vid)):
         return func(self, vid, *args)
     else:
         return errorno.server_error(errorno.VIDEO_NOT_EXISTED[0], errorno.VIDEO_NOT_EXISTED[1]).dumps()
Exemple #14
0
 def check(self, username, *args):
     model = db()
     if (model.check_user_exist_by_name(username)):
         return func(self, username, *args)
     else:
         return errorno.server_error(errorno.USER_NOT_EXISTED[0], errorno.USER_NOT_EXISTED[1]).dumps()
Exemple #15
0
 def __init__(self):
     self.model        = db()
     self.epg_parser   = MyParser()
Exemple #16
0
# under the License.


import os.path
import tornado.auth
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import sys
sys.path.append('..')
from db import db
import json

from tornado.options import define, options
DB=db.db()
class Application(tornado.web.Application):
    def __init__(self):
        handlers = [
            (r"/",get_imagelist),
            (r"/Get/image", get_image),
            (r"/Get/imagelist", get_imagelist),
            (r"/Post/image", change_image),
            (r"/Put/image", create_iamge),
            (r"/Delete/image",delete_iamge ),
        ]
        tornado.web.Application.__init__(self,handlers)

class get_imagelist(tornado.web.RequestHandler):
    def get(self):
        entries = DB.listAllImage()
"""
process to go through csv files downloaded from bts airtravel web
"""

from scrape.BTS import walk_extractedFiles
from scrape.scrape_config import extract_to

from db.db import sqlite3 as db

import os

dbf = os.path.join(extract_to, 'load.' + db.myext)
db.create(dbf)
ldb = db(dbf)

import csv

import pandas as pd

#from loaddata.types import make_typesDict as mtd
#td=mtd('numpy') useless here i think

import numpy as np


def loadCSVs(**kwargs):
    walker = walk_extractedFiles()
    kwargs.setdefault('if_exists', 'append')
    import db
    if type(ldb) is db.db.sqlite3: kwargs['flavor'] = 'sqlite'
    else: raise NotImplementedError
Exemple #18
0
def main(reset_process,
         initialize_db,
         experiment_name,
         remove=None,
         force_repeat=None):
    """Populate db with experiments to run."""
    main_config = config.Config()
    log = logger.get(os.path.join(main_config.log_dir, 'prepare_experiments'))
    if reset_process:
        db.reset_in_process()
        log.info('Reset experiment progress counter in DB.')
    if initialize_db:
        db.initialize_database()
        log.info('Initialized DB.')
    if remove is not None:
        db_config = credentials.postgresql_connection()
        with db.db(db_config) as db_conn:
            db_conn.remove_experiment(remove)
        log.info('Removed %s.' % remove)
    if experiment_name is not None:  # TODO: add capability for bayesian opt.
        if ',' in experiment_name:
            # Parse a comma-delimeted string of experiments
            experiment_name = experiment_name.split(',')
        else:
            experiment_name = [experiment_name]
        db_config = credentials.postgresql_connection()
        for exp in experiment_name:
            experiment_dict = py_utils.import_module(
                module=exp, pre_path=main_config.experiment_classes)
            experiment_dict = experiment_dict.experiment_params()
            if not hasattr(experiment_dict, 'get_map'):
                experiment_dict['get_map'] = [False]
            train_loss_function = experiment_dict.get('train_loss_function',
                                                      None)
            if train_loss_function is None:
                experiment_dict['train_loss_function'] = experiment_dict[
                    'loss_function']
                experiment_dict['val_loss_function'] = experiment_dict[
                    'loss_function']
                experiment_dict.pop('loss_function', None)
            exp_combos = package_parameters(experiment_dict, log)
            log.info('Preparing experiment.')
            assert exp_combos is not None, 'Experiment is empty.'

            # Repeat if requested
            repeats = experiment_dict.get('repeat', 0)
            if force_repeat is not None:
                repeats = force_repeat
            if repeats:
                dcs = []
                for copy in range(repeats):
                    # Need to make deep copies
                    dcs += deepcopy(exp_combos)
                exp_combos = dcs
                log.info('Expanded %sx to %s combinations.' %
                         (experiment_dict['repeat'], len(exp_combos)))

            # Convert augmentations to json
            json_combos = []
            for combo in exp_combos:
                combo['train_augmentations'] = json.dumps(
                    deepcopy(combo['train_augmentations']))
                combo['val_augmentations'] = json.dumps(
                    deepcopy(combo['val_augmentations']))
                json_combos += [combo]

            # Add data to the DB
            with db.db(db_config) as db_conn:
                db_conn.populate_db(json_combos)
                db_conn.return_status('CREATE')
            log.info('Added new experiments.')
"""
process to go through csv files downloaded from bts airtravel web
"""

from scrape.BTS import walk_extractedFiles
from scrape.scrape_config import extract_to

from db.db import sqlite3 as db

import os

dbf=os.path.join(extract_to,'load.'+db.myext)
db.create(dbf)
ldb=db(dbf)

import csv

import pandas as pd


#from loaddata.types import make_typesDict as mtd
#td=mtd('numpy') useless here i think

import numpy as np
def loadCSVs(**kwargs):
    walker=walk_extractedFiles()
    kwargs.setdefault('if_exists','append')
    import db
    if type(ldb) is db.db.sqlite3: kwargs['flavor']='sqlite'
    else: raise NotImplementedError
    for atbl,csvfiles in walker:
Exemple #20
0
# License for the specific language governing permissions and limitations
# under the License.

import os.path
import tornado.auth
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
import sys
sys.path.append('..')
from db import db
import json

from tornado.options import define, options
DB = db.db()


class Application(tornado.web.Application):
    def __init__(self):
        handlers = [
            (r"/", get_imagelist),
            (r"/Get/image", get_image),
            (r"/Get/imagelist", get_imagelist),
            (r"/Post/image", change_image),
            (r"/Put/image", create_iamge),
            (r"/Delete/image", delete_iamge),
        ]
        tornado.web.Application.__init__(self, handlers)