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':
  75         if begin is None or end is None:
  76             pass
  77         else:
  78             # copied from munin/master/_bin/munin-cgi-graph.in
  79             resolutions = dict(
  80                 day   =   300,
  81                 week  =  1800,
  82                 month =  7200,
  83                 year  = 86400,
  84             )
  85             duration = (end - begin).total_seconds()
  86             day = 60 * 60 * 24
  87             if duration < day:
  88                 resolution = resolutions['day']
  89             elif duration < 7 * day:
  90                 resolution = resolutions['week']
  91             elif duration < 31 * day:
  92                 resolution = resolutions['month']
  93             else:
  94                 resolution = resolutions['year']
  95             # TODO: filter out samples from 'result'
  96             # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
  97     return query.all()
  98
  99
 100 def convert_to_c3(result):
 101     c3result = defaultdict(list)
 102     for row in result:
 103         c3result[row.sensor_id].append(row.value)
 104         dt = row.timestamp.strftime('%Y-%m-%d %H:%M:%S')
 105         c3result[row.sensor_id + '_x'].append(dt)
 106     return c3result
 107
 108
 109 def sensordata(sensor_id=None, sensor_type=None):
 110     begin = request.args.get('begin', None, parse_datetime)
 111     end = request.args.get('end', None, parse_datetime)
 112     mode = request.args.get('mode', 'full')
 113     format = request.args.get('format', 'default')
 114
 115     result = select_sensordata(sensor_id, sensor_type, begin, end, mode)
 116
 117     if format == 'c3':
 118         return convert_to_c3(result)
 119     return result
 120
 121
 122 def currentairtemperature(apikey, cityid):
 123     """Retruns the tuple temperature, datetime (as float, datetime) in case of success, otherwise None, None."""
 124     try:
 125         weatherdata = openweathermap_json(apikey, cityid)
 126         return weatherdata['main']['temp'], datetime.datetime.fromtimestamp(weatherdata['dt'])
 127     except OpenWeatherMapError:
 128         return None, None
 129
 130
 131 def currentwatertemperature(sensorid):
 132     result = Sensors.query.filter_by(sensor_id=sensorid).order_by(Sensors.timestamp.desc()).first()
 133     return result.value, result.timestamp
 134
 135
 136 @app.route('/api/<version>/sensors/')
 137 def sensors(version):
 138     """List all sensors found in the database"""
 139     result = db.session.query(Sensors.sensor_id, Sensors.sensor_name, Sensors.value_type).distinct().all()
 140     return jsonify(result)
 141
 142
 143 @app.route('/api/<version>/sensor/id/<sensor_id>')
 144 def sensorid(version, sensor_id):
 145     """Return all data for a specific sensor
 146
 147     URL parameters:
 148     begin=<datetime>, optional, format like "2018-05-19T21:07:53"
 149     end=<datetime>, optional, format like "2018-05-19T21:07:53"
 150     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
 151     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
 152     """
 153     result = sensordata(sensor_id=sensor_id)
 154     return jsonify(result)
 155
 156
 157 @app.route('/api/<version>/sensor/type/<sensor_type>')
 158 def sensortype(version, sensor_type):
 159     """Return all data for a specific sensor type
 160
 161     URL parameters:
 162     begin=<datetime>, optional, format like "2018-05-19T21:07:53"
 163     end=<datetime>, optional, format like "2018-05-19T21:07:53"
 164     mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
 165     format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
 166     """
 167     result = sensordata(sensor_type=sensor_type)
 168     return jsonify(result)
 169
 170
 171 @app.route('/data/', defaults={'timespan': 1})
 172 @app.route("/data/<int:timespan>", methods=['GET'])
 173 def data(timespan):
 174     granularity = 5 * timespan               # (every) minute(s) per day
 175     samples = 60/granularity * 24 * timespan # per hour over whole timespan
 176     s4m   = []
 177     s4m_x = []
 178     s5m   = []
 179     s5m_x = []
 180     end   = time.time()
 181     start = end - samples * granularity * 60
 182
 183     for i in range(int(samples)):
 184         s4m.append(uniform(-10,30))
 185         s5m.append(uniform(-10,30))
 186         s4mt = uniform(start, end)
 187         s5mt = uniform(start, end)
 188         s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
 189         s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
 190
 191     data = {
 192         '0316a2193bff':   s4m,
 193         '0316a2193bff_x': s4m_x,
 194         '0316a21383ff':   s5m,
 195         '0316a21383ff_x': s5m_x,
 196         }
 197
 198     return jsonify(data)
 199
 200
 201 @app.route("/")
 202 def index():
 203     airvalue, airtime     = currentairtemperature(apikey, cityid)
 204     watervalue, watertime = currentwatertemperature(mainsensor)
 205
 206     return render_template(
 207         'seepark_web.html',
 208         apikey=apikey,
 209         watervalue=watervalue,
 210         watertime=watertime,
 211         airvalue=airvalue,
 212         airtime=airtime,
 213     )