Exemplo n.º 1
0
app.config['MYSQL_DB'] = ''
app.config['MYSQL_CURSORCLASS'] = 'DictCursor'

# init MYSQL
mysql = MySQL(app)


__author__ = 'Oliver "othornew" Thornewill \
              Adel "0x4d31" Karimi'
__version__ = '0.2'

# Log to stdout
# On Heroku, anything written to stdout or stderr is captured into your logs.
# https://devcenter.heroku.com/articles/logging
logger = logging.getLogger(__name__)
out_hdlr = logging.StreamHandler(sys.stdout)
out_hdlr.setFormatter(logging.Formatter('%(asctime)s %(message)s'))
out_hdlr.setLevel(logging.INFO)
logger.addHandler(out_hdlr)
logger.setLevel(logging.INFO)


@app.route('/', defaults={'path': ''})
def default(path):
    return render_template('default.html')

@app.route('/favicon.ico')
def favicon():
    return send_from_directory(os.path.join(app.root_path, 'static'),
                               'favicon.ico', mimetype='image/vnd.microsoft.icon')
Exemplo n.º 2
0
from flask import Flask, request, render_template, send_file, logging, redirect
from flask.ext.socketio import SocketIO, emit
from flask.ext.uploads import UploadSet, configure_uploads
import os
import services

app = Flask(__name__)
app.config['SECRET_KEY'] = 'secret'
DEFAULT_PORT = 5000

socketio = SocketIO(app)

log = logging.getLogger('run')
log.setLevel(logging.DEBUG)
log.addHandler(logging.StreamHandler())

photos = UploadSet()
photos.file_allowed = lambda a, b: True

app.config['UPLOADS_DEFAULT_DEST'] = '/tmp'
configure_uploads(app, photos)


@app.route('/')
def index_demo():
    return render_template('app.html',
                           label_names=','.join(
                               sorted(services.get_labels().keys())))


@app.route('/admin')
Exemplo n.º 3
0
from functions.utils import base64_to_pil_image, pil_image_to_base64

app = Flask(__name__)
app.config['MAIL_SERVER'] = 'smtp.gmail.com'
app.config['MAIL_PORT'] = 587
app.config['MAIL_USE_TLS'] = True
app.config['MAIL_USE_SSL'] = False
app.config['MAIL_USERNAME'] = '******'
app.config['MAIL_PASSWORD'] = os.environ.get('PASSWORD')
app.config['MAIL_DEFAULT_SENDER'] = '*****@*****.**'

#app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:password@localhost/db_name
engine = create_engine(os.environ.get('DATABASE_URL'))
db = scoped_session(sessionmaker(bind=engine))

app.logger.addHandler(logging.StreamHandler(stdout))
app.config['DEBUG'] = True
socketio = SocketIO(app)
mail = Mail(app)

global camera
global flag

question_grid = []
solution_grid = []


@socketio.on('input image', namespace='/test')
def test_message(input):
    global question_grid
    global solution_grid
Exemplo n.º 4
0
            # insert dashboard in mysql
            Dashboard.create(new_id, dashboard_type)
            # relate to the current user if it's private
            if dashboard_type == 'private':
                DashboardCommunity.add_dashboard_to_community(new_id, user.community_id)

        return True

    @app.errorhandler(500)
    def internal_error(exception):
        current_app.logger.error(exception)
        response = jsonify(message="Unexpected error")
        response.status_code = 500
        return response

if __name__ == '__main__':
    Compress(app)
    CORS(app)
    api = Api(app)
    db.init_app(app)
    config_oauth(app)

    app.logger.addHandler(logging.StreamHandler())
    app.logger.setLevel('INFO')

    api.add_resource(BasicDataAccess, '/api/v0/<source>')
    api.add_resource(IoTWalletLoginManager, '/iotlogin/<string:source>')
    api.add_resource(OAuthManager, '/oauth/<string:source>')
    api.add_resource(CommunityManager, '/community/<string:source>')
    app.run(host='0.0.0.0', port=cfg['api']['v0']['port'], threaded=True, debug=False)
Exemplo n.º 5
0
import os
from flask import Flask, render_template, request, send_file, logging
from io import BytesIO
import numpy as np
from PIL import Image
from keras.models import Model
from keras.layers import Activation, BatchNormalization, Dropout, K
from keras.layers import Conv2D, MaxPooling2D, Input, UpSampling2D
from keras.layers import Dense
from keras.layers import GlobalAveragePooling2D
import pandas
from sklearn.manifold import TSNE

application = Flask(__name__)
application.config['TEMPLATES_AUTO_RELOAD'] = "TRUE"
application.logger.addHandler(logging.StreamHandler(sys.stdout))
application.logger.setLevel(logging.ERROR)


@application.route("/")
def index():
    return render_template("index.html")


@application.route("/about")
def about():
    return render_template("about.html", PAGE="about")


@application.route("/terms")
def terms():
Exemplo n.º 6
0
The script re-parses old sqlite database of the Fall 2014 format and fills conditions according to the run
"""
import argparse
import sqlite3
import sys
from flask import logging
import rcdb.model
from rcdb import ConfigurationProvider
from rcdb import coda_parser
from rcdb.file_archiver import get_file_sha256, get_string_sha256

import xml.etree.ElementTree as ET

# setup logger
log = logging.getLogger('rcdb')                     # create run configuration standard logger
log.addHandler(logging.StreamHandler(sys.stdout))   # add console output for logger
log.setLevel(logging.DEBUG)

if __name__ == "__main__":

    # hello
    print ("This program takes sqlite file of RCDB with data taken prior 2015" \
           " and add to a database with new format")

    # parse arguments
    parser = argparse.ArgumentParser()
    parser.add_argument("in_sqlite_file", help="Input SQLite file")
    parser.add_argument("out_con_string",
                        help="Connection string to empty output database. Example: sqlite:////home/john/out.db")
    args = parser.parse_args()
    print("Arguments given: ")