web/seepark_web.py

   1 from random import uniform
   2 import datetime
   3 import time
   4 import configparser
   5 import os
   6 import sys
   7 from collections import defaultdict
   8 from flask import Flask, render_template, jsonify, request
   9 import flask.json
  10 from flask_sqlalchemy import SQLAlchemy
  11
  12
  13 app_path = os.path.dirname(os.path.realpath(__file__))
  14 lib_path = os.path.join(cur_path, '..')
  15 sys.path.append(lib_path)
  16 from seeparklib.openweathermap import openweathermap_json, OpenWeatherMapError
  17
  18
  19 class JSONEncoder(flask.json.JSONEncoder):
  20     def default(self, object):
  21         if isinstance(object, datetime.datetime):
  22             return object.isoformat()
  23         return super().default(object)
  24
  25
  26 def parse_datetime(date_str):
  27     return datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S')
  28
  29
  30 def get_sqlalchemy_database_uri(config):
  31     user = config.get('database', 'user')
  32     pwd = config.get('database', 'password')
  33     host = config.get('database', 'hostname')
  34     db = config.get('database', 'database')
  35     return 'mysql+mysqldb://{}:{}@{}/{}'.format(user, pwd, host, db)
  36
  37
  38 config = configparser.ConfigParser()
  39 config.read(os.environ['SEEPARKINI'])
  40 apikey = config.get('openweathermap', 'apikey')
  41 cityid = config.get('openweathermap', 'cityid')
  42 mainsensor = config.get('temperature', 'mainsensor')
  43
  44 app = Flask(__name__)
  45 app.json_encoder = JSONEncoder
  46 app.config['SQLALCHEMY_DATABASE_URI'] = get_sqlalchemy_database_uri(config)
  47 app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
  48 db = SQLAlchemy(app)
  49 db.reflect(app=app)
  50
  51
  52 class Sensors(db.Model):
  53     __tablename__ = 'sensors'
  54
  55
  56 def select_sensordata(initial_where):
  57     query = Sensors.query.filter(initial_where)
  58     begin = request.args.get('begin', None, parse_datetime)
  59     end = request.args.get('end', None, parse_datetime)
  60     if begin is not None:
  61         query = query.filter(Sensors.timestamp >= begin)
  62     if end is not None:
  63         query = query.filter(Sensors.timestamp <= end)
  64     result = query.all()
  65
  66     mode = request.args.get('mode', 'full')
  67     if mode == 'consolidated':
  68         if begin is None or end is None:
  69             pass
  70         else:
  71             # copied from munin/master/_bin/munin-cgi-graph.in
  72             resolutions = dict(
  73                 day   =   300,
  74                 week  =  1800,
  75                 month =  7200,
  76                 year  = 86400,
  77             )
  78             duration = (end - begin).total_seconds()
  79             day = 60 * 60 * 24
  80             if duration < day:
  81                 resolution = resolutions['day']
  82             elif duration < 7 * day:
  83                 resolution = resolutions['week']
  84             elif duration < 31 * day:
  85                 resolution = resolutions['month']
  86             else:
  87                 resolution = resolutions['year']
  88             # TODO: filter out samples from 'result'
  89             # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
  90
  91     format = request.args.get('format', 'default')
  92     if format == 'c3':
  93         c3result = defaultdict(list)
  94         for row in result:
  95             c3result[row.sensor_id].append(row.value)
  96             dt = row.timestamp.strftime('%Y-%m-%d %H:%M:%S')
  97             c3result[row.sensor_id + '_x'].append(dt)
  98         result = c3result
  99     return result
 100
 101
 102 def currentairtemperature(apikey, cityid):
 103     """Retruns the tuple temperature, datetime (as float, datetime) in case of success, otherwise None, None."""
 104     try:
 105         weatherdata = openweathermap_json(apikey, cityid)
 106         return weatherdata['main']['temp'], datetime.datetime.fromtimestamp(weatherdata['dt'])
 107     except OpenWeatherMapError:
 108         return None, None
 109
 110
 111 def currentwatertemperature(sensorid):
 112     result = Sensors.query.filter_by(sensor_id=sensorid).order_by(Sensors.timestamp.desc()).first()
 113     return result.value, result.timestamp
 114
 115
 116 @app.route('/api/<version>/sensors/')
 117 def sensors(version):
 118     """List all sensors found in the database"""
 119     result = db.session.query(Sensors.sensor_id, Sensors.sensor_name, Sensors.value_type).distinct().all()
 120     return jsonify(result)
 121
 122
 123 @app.route('/api/<version>/sensor/id/<sensor_id>')
 124 def sensorid(version, sensor_id):
 125     """Return all data for a specific sensor
 126
 127     URL parameters:
 128     begin=<datetime>, optional, format like "2018-05-19T21:07:53"
 129     end=<datetime>, optional, format like "2018-05-19T21:07:53"
 130     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
 131     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
 132     """
 133     result = select_sensordata(Sensors.sensor_id == sensor_id)
 134     return jsonify([row._asdict() for row in result])
 135
 136
 137 @app.route('/api/<version>/sensor/type/<sensor_type>')
 138 def sensortype(version, sensor_type):
 139     """Return all data for a specific sensor type
 140
 141     URL parameters:
 142     begin=<datetime>, optional, format like "2018-05-19T21:07:53"
 143     end=<datetime>, optional, format like "2018-05-19T21:07:53"
 144     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
 145     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
 146     """
 147     result = select_sensordata(Sensors.value_type == sensor_type)
 148     return jsonify(result)
 149
 150
 151 @app.route('/data/', defaults={'timespan': 1})
 152 @app.route("/data/<int:timespan>", methods=['GET'])
 153 def data(timespan):
 154     granularity = 5 * timespan               # (every) minute(s) per day
 155     samples = 60/granularity * 24 * timespan # per hour over whole timespan
 156     s4m   = []
 157     s4m_x = []
 158     s5m   = []
 159     s5m_x = []
 160     end   = time.time()
 161     start = end - samples * granularity * 60
 162
 163     for i in range(int(samples)):
 164         s4m.append(uniform(-10,30))
 165         s5m.append(uniform(-10,30))
 166         s4mt = uniform(start, end)
 167         s5mt = uniform(start, end)
 168         s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
 169         s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
 170
 171     data = {
 172         '0316a2193bff':   s4m,
 173         '0316a2193bff_x': s4m_x,
 174         '0316a21383ff':   s5m,
 175         '0316a21383ff_x': s5m_x,
 176         }
 177
 178     return jsonify(data)
 179
 180
 181 @app.route("/")
 182 def index():
 183     airvalue, airtime     = currentairtemperature(apikey, cityid)
 184     watervalue, watertime = currentwatertemperature(mainsensor)
 185
 186     return render_template(
 187         'seepark_web.html',
 188         apikey=apikey,
 189         watervalue=watervalue,
 190         watertime=watertime,
 191         airvalue=airvalue,
 192         airtime=airtime,
 193     )