def __init__(self):
super().__init__()
self.ui = mainwindow.Ui_Frec()
self.ui.setupUi(self)
self.db = MongoDatabase()
self.init_frec()
def __init__(self):
logging.info('Initialized {}'.format(self.__class__.__name__))
# instantiate database
self.db = MongoDatabase()
# set utf8 encoding
reload(sys)
sys.setdefaultencoding('utf8')
def __init__(self):
logging.info('Initialized {}'.format(self.__class__.__name__))
# instantiate database
self.db = MongoDatabase()
# location to store plots
self.plot_save_folder = os.path.join('files', 'plots')
# location to store tables to
self.table_save_folder = os.path.join('files', 'tables')
def __init__(self):
super().__init__()
self.ui = mainwindow.Ui_Frec()
self.ui.setupUi(self)
self.db = MongoDatabase()
self.init_frec()
self.is_local_save = False
self.dirs = config.Dirs()
self.setWindowIcon(QIcon(self.dirs.appicon))
return
"""
Script starts here
"""
if __name__ == "__main__":
# create logging to console
set_logger()
logging.info('Start: {} '.format(__file__))
# create database connection
db = MongoDatabase()
# name of collection to store all the training tweets to
db_collection = 'training_tweets'
# location to save machine learning classification models to
model_save_location = os.path.join('files', 'ml_models2')
# get all the training tweet documents
D = db.read_collection(collection=db_collection)
# get values from list and assign to X and Y
X, Y = zip(*[(x['text'], str(x['label'])) for x in D])
# define pipeline options
pipeline_setup = get_pipeline_setup()
def __init__(self):
self.components = []
self.database = MongoDatabase("localhost")
self.load_components()
# Specify the port number.
PORT = 1496
# Directory to save videos to.
ROOT_DIR = os.getcwd()
SAVE_DIR = f'{os.getcwd()}/videos'
# Create the server.
app = Flask(__name__)
api = Api(app)
valid_headers = ['Content-Type', 'Access-Control-Allow-Origin', '*']
cors = CORS(app, allow_headers=valid_headers)
# Connect to the database.
mongo = MongoDatabase()
# Video processing.
processor = Processor()
# Do a little server-side checking.
ALLOWED_EXTENSIONS = set(['webm', 'mp4', 'mp3', 'wav', 'jpeg', 'gif', 'png'])
# -------------------------------------------------------------
# Global functions.
def allowed_file(filename):
'''Ensure we want to keep this file.'''
return True
import os
import database
from database import MongoDatabase
from config import PitConfig
from routes import PitRoutes
reload(sys)
sys.setdefaultencoding('utf8')
# ---------------------------------------------------------------------------- #
# Create Flask web application object.
pit_app = flask.Flask(__name__, static_url_path="")
pit_app.secret_key = "roflmao"
# Set up and verify database connection.
database = MongoDatabase(PitConfig)
database.connect()
# Set up API endpoints.
routes = PitRoutes(pit_app, database, PitConfig, flask.make_response,
flask.render_template)
if __name__ == "__main__":
# Start application.
debug = PitConfig['web']['debug'] == 'True'
port = int(PitConfig['web']['port'])
if debug:
pit_app.run(debug=debug, host="0.0.0.0", port=port)
else:
context = ('fullchain.pem', 'privkey.pem')
pit_app.run(debug=debug,
def __init__(self):
logging.info('Initialized {}'.format(self.__class__.__name__))
# instantiate database
self.db = MongoDatabase()
def __init__(self):
self.processing_queue = deque()
self.actively_processing = {}
self.mongo = MongoDatabase()
