1 from random import uniform
6 from flask import Flask, render_template, jsonify, request
8 from sqlalchemy import create_engine
12 class JSONEncoder(flask.json.JSONEncoder):
13 def default(self, object):
14 if isinstance(object, datetime.datetime):
15 return object.isoformat()
16 return super().default(object)
19 def parse_datetime(date_str):
20 return datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S')
24 app.json_encoder = JSONEncoder
25 config = configparser.ConfigParser()
26 config.read(os.environ['SEEPARKINI'])
27 apikey = config.get('openweathermap', 'apikey')
28 cityid = config.get('openweathermap', 'cityid')
31 def open_engine(config):
32 user = config.get('database', 'user')
33 pwd = config.get('database', 'password')
34 host = config.get('database', 'hostname')
35 db = config.get('database', 'database')
36 engine = create_engine('mysql+mysqldb://{}:{}@{}/{}'.format(user, pwd, host, db), echo=False)
40 def select_sensordata(initial_where, initial_sql_args):
41 engine = open_engine(config)
42 with engine.connect() as conn:
43 where = [initial_where]
44 sql_args = [initial_sql_args]
47 if 'begin' in request.args:
48 where.append('timestamp>=%s')
49 begin = request.args.get('begin', None, parse_datetime)
50 sql_args.append(begin)
51 if 'end' in request.args:
52 where.append('timestamp<=%s')
53 end = request.args.get('end', None, parse_datetime)
55 sql = 'select * from sensors where {} order by id'.format(' and '.join(where))
56 cursor = conn.execute(sql, *sql_args)
57 result = [dict(row) for row in cursor]
59 mode = request.args.get('mode', 'full')
60 if mode == 'consolidated':
61 if begin is None or end is None:
64 # copied from munin/master/_bin/munin-cgi-graph.in
71 duration = (end - begin).total_seconds()
74 resolution = resolutions['day']
75 elif duration < 7 * day:
76 resolution = resolutions['week']
77 elif duration < 31 * day:
78 resolution = resolutions['month']
80 resolution = resolutions['year']
81 # TODO: filter out samples from 'result'
82 # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
84 format = request.args.get('format', 'default')
88 if not row['sensor_id'] in c3result:
89 c3result[row['sensor_id']] = list()
90 c3result[row['sensor_id']].append(row['value'])
91 if not row['sensor_id'] + '_x' in c3result:
92 c3result[row['sensor_id'] + '_x'] = list()
93 dt = row['timestamp'].strftime('%Y-%m-%d %H:%M:%S')
94 c3result[row['sensor_id'] + '_x'].append(dt)
99 def currentairtemperature(apikey, cityid):
100 baseurl = 'http://api.openweathermap.org/data/2.5/weather'
101 query = baseurl + '?units=metric&APPID={}&id={}&lang=de'.format(apikey, cityid)
103 response = requests.get(query)
104 if response.status_code != 200:
106 return response, datetime.datetime.now().strftime('%Y-%m-%d %H:%M')
108 weatherdata = response.json()
109 return weatherdata['main']['temp'], datetime.datetime.fromtimestamp(weatherdata['dt']).strftime('%Y-%m-%d %H:%M')
110 except requests.exceptions.RequestException as error:
114 def currentwatertemperature(sensorid):
115 engine = open_engine(config)
116 with engine.connect() as conn:
117 cursor = conn.execute('select value, timestamp from sensors where sensor_id=%s order by timestamp desc limit 1', sensorid)
118 result = [dict(row) for row in cursor]
119 return result[0]['value'], result[0]['timestamp'].strftime('%Y-%m-%d %H:%M')
122 @app.route('/api/<version>/sensors/')
123 def sensors(version):
124 """List all sensors found in the database"""
125 engine = open_engine(config)
126 with engine.connect() as conn:
127 cursor = conn.execute('select distinct sensor_id, sensor_name, value_type from sensors')
128 result = [dict(row) for row in cursor]
129 return jsonify(result)
132 @app.route('/api/<version>/sensor/id/<sensor_id>')
133 def sensorid(version, sensor_id):
134 """Return all data for a specific sensor
137 begin=<datetime>, optional, format like "2018-05-19T21:07:53"
138 end=<datetime>, optional, format like "2018-05-19T21:07:53"
139 mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
140 format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
142 result = select_sensordata('sensor_id=%s', sensor_id)
143 return jsonify(result)
146 @app.route('/api/<version>/sensor/type/<sensor_type>')
147 def sensortype(version, sensor_type):
148 """Return all data for a specific sensor type
151 begin=<datetime>, optional, format like "2018-05-19T21:07:53"
152 end=<datetime>, optional, format like "2018-05-19T21:07:53"
153 mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
154 format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
156 result = select_sensordata('value_type=%s', sensor_type)
157 return jsonify(result)
160 @app.route('/data/', defaults={'timespan': 1})
161 @app.route("/data/<int:timespan>", methods=['GET'])
163 granularity = 5 * timespan # (every) minute(s) per day
164 samples = 60/granularity * 24 * timespan # per hour over whole timespan
170 start = end - samples * granularity * 60
172 for i in range(int(samples)):
173 s4m.append(uniform(-10,30))
174 s5m.append(uniform(-10,30))
175 s4mt = uniform(start, end)
176 s5mt = uniform(start, end)
177 s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
178 s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
182 '0316a2193bff_x': s4m_x,
184 '0316a21383ff_x': s5m_x,
192 airvalue, airtime = currentairtemperature(apikey, cityid)
193 airvalue = "{:.1f}".format(airvalue) if isinstance(airvalue, float) else airvalue
194 watervalue, watertime = currentwatertemperature('0316a21383ff') # config? mainwatertemp?
195 watervalue = "{:.1f}".format(watervalue) if isinstance(watervalue, float) else watervalue
197 return render_template(
200 watervalue=watervalue,