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, inspect
  11
  12
  13 app_path = os.path.dirname(os.path.realpath(__file__))
  14 lib_path = os.path.join(app_path, '..')
  15 sys.path.append(lib_path)
  16 from seeparklib.openweathermap import openweathermap_json, OpenWeatherMapError
  17
  18
  19 # https://stackoverflow.com/a/37350445
  20 def sqlalchemy_model_to_dict(model):
  21     return {c.key: getattr(model, c.key)
  22         for c in inspect(model).mapper.column_attrs}
  23
  24
  25 class JSONEncoder(flask.json.JSONEncoder):
  26     def default(self, object):
  27         if isinstance(object, datetime.datetime):
  28             return object.isoformat()
  29         elif isinstance(object, db.Model):
  30             return sqlalchemy_model_to_dict(object)
  31         return super().default(object)
  32
  33
  34 def parse_datetime(date_str):
  35     return datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S')
  36
  37
  38 def get_sqlalchemy_database_uri(config):
  39     user = config.get('database', 'user')
  40     pwd = config.get('database', 'password')
  41     host = config.get('database', 'hostname')
  42     db = config.get('database', 'database')
  43     return 'mysql+mysqldb://{}:{}@{}/{}'.format(user, pwd, host, db)
  44
  45
  46 config = configparser.ConfigParser()
  47 config.read(os.environ['SEEPARKINI'])
  48 apikey = config.get('openweathermap', 'apikey')
  49 cityid = config.get('openweathermap', 'cityid')
  50 mainsensor = config.get('temperature', 'mainsensor')
  51
  52 app = Flask(__name__)
  53 app.json_encoder = JSONEncoder
  54 app.config['SQLALCHEMY_DATABASE_URI'] = get_sqlalchemy_database_uri(config)
  55 app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
  56 db = SQLAlchemy(app)
  57 db.reflect(app=app)
  58
  59
  60 class Sensors(db.Model):
  61     __tablename__ = 'sensors'
  62
  63
  64 def select_sensordata(sensor_id, sensor_type, begin, end, mode):
  65     query = Sensors.query
  66     if sensor_id is not None:
  67         query = query.filter(Sensors.sensor_id == sensor_id)
  68     if sensor_type is not None:
  69         query = query.filter(Sensors.value_type == sensor_type)
  70     if begin is not None:
  71         query = query.filter(Sensors.timestamp >= begin)
  72     if end is not None:
  73         query = query.filter(Sensors.timestamp <= end)
  74     if mode == 'consolidated' and begin is None and end is None:
  75         # copied from munin/master/_bin/munin-cgi-graph.in
  76         # interval in seconds for data points
  77         resolutions = dict(
  78             day   =   300,
  79             week  =  1800,
  80             month =  7200,
  81             year  = 86400,
  82         )
  83         duration = (end - begin).total_seconds()
  84         day = 60 * 60 * 24
  85         if duration < day:
  86             resolution = resolutions['day']
  87         elif duration < 7 * day:
  88             resolution = resolutions['week']
  89         elif duration < 31 * day:
  90             resolution = resolutions['month']
  91         else:
  92             resolution = resolutions['year']
  93         # TODO: filter out samples from 'result'
  94         # something like
  95         # select to_seconds(datetime) DIV (60*60*24) as interval_id, min(datetime), max(datetime), min(temp), avg(temp), max(temp), count(temp) from openweathermap group by interval_id order by interval_id;
  96     return query.all()
  97
  98
  99 def convert_to_c3(result):
 100     c3result = defaultdict(list)
 101     for row in result:
 102         c3result[row.sensor_id].append(row.value)
 103         dt = row.timestamp.strftime('%Y-%m-%d %H:%M:%S')
 104         c3result[row.sensor_id + '_x'].append(dt)
 105     return c3result
 106
 107
 108 def sensordata(sensor_id=None, sensor_type=None):
 109     begin = request.args.get('begin', None, parse_datetime)
 110     end = request.args.get('end', None, parse_datetime)
 111     mode = request.args.get('mode', 'full')
 112     format = request.args.get('format', 'default')
 113
 114     result = select_sensordata(sensor_id, sensor_type, begin, end, mode)
 115
 116     if format == 'c3':
 117         return convert_to_c3(result)
 118     return result
 119
 120
 121 def currentairtemperature(apikey, cityid):
 122     """Retruns the tuple temperature, datetime (as float, datetime) in case of success, otherwise None, None."""
 123     try:
 124         url, weatherdata = openweathermap_json(apikey, cityid)
 125         return weatherdata['main']['temp'], datetime.datetime.fromtimestamp(weatherdata['dt'])
 126     except OpenWeatherMapError:
 127         return None, None
 128
 129
 130 def currentwatertemperature(sensorid):
 131     result = Sensors.query.filter_by(sensor_id=sensorid).order_by(Sensors.timestamp.desc()).first()
 132     return result.value, result.timestamp
 133
 134
 135 @app.route('/api/<version>/sensors/')
 136 def sensors(version):
 137     """List all sensors found in the database"""
 138     result = db.session.query(Sensors.sensor_id, Sensors.sensor_name, Sensors.value_type).distinct().all()
 139     return jsonify(result)
 140
 141
 142 @app.route('/api/<version>/sensor/id/<sensor_id>')
 143 def sensorid(version, sensor_id):
 144     """Return all data for a specific sensor
 145
 146     URL parameters:
 147     begin=<datetime>, optional, format like "2018-05-19T21:07:53"
 148     end=<datetime>, optional, format like "2018-05-19T21:07:53"
 149     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
 150     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
 151     """
 152     result = sensordata(sensor_id=sensor_id)
 153     return jsonify(result)
 154
 155
 156 @app.route('/api/<version>/sensor/type/<sensor_type>')
 157 def sensortype(version, sensor_type):
 158     """Return all data for a specific sensor type
 159
 160     URL parameters:
 161     begin=<datetime>, optional, format like "2018-05-19T21:07:53"
 162     end=<datetime>, optional, format like "2018-05-19T21:07:53"
 163     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
 164     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
 165     """
 166     result = sensordata(sensor_type=sensor_type)
 167     return jsonify(result)
 168
 169
 170 @app.route('/data/', defaults={'timespan': 1})
 171 @app.route("/data/<int:timespan>", methods=['GET'])
 172 def data(timespan):
 173     granularity = 5 * timespan               # (every) minute(s) per day
 174     samples = 60/granularity * 24 * timespan # per hour over whole timespan
 175     s4m   = []
 176     s4m_x = []
 177     s5m   = []
 178     s5m_x = []
 179     end   = time.time()
 180     start = end - samples * granularity * 60
 181
 182     for i in range(int(samples)):
 183         s4m.append(uniform(-10,30))
 184         s5m.append(uniform(-10,30))
 185         s4mt = uniform(start, end)
 186         s5mt = uniform(start, end)
 187         s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
 188         s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
 189
 190     data = {
 191         '0316a2193bff':   s4m,
 192         '0316a2193bff_x': s4m_x,
 193         '0316a21383ff':   s5m,
 194         '0316a21383ff_x': s5m_x,
 195         }
 196
 197     return jsonify(data)
 198
 199
 200 @app.route("/")
 201 def index():
 202     airvalue, airtime     = currentairtemperature(apikey, cityid)
 203     watervalue, watertime = currentwatertemperature(mainsensor)
 204
 205     return render_template(
 206         'seepark_web.html',
 207         apikey=apikey,
 208         watervalue=watervalue,
 209         watertime=watertime,
 210         airvalue=airvalue,
 211         airtime=airtime,
 212     )