1 from random import uniform
6 from flask import Flask, render_template, jsonify, request
8 from sqlalchemy import create_engine
11 class JSONEncoder(flask.json.JSONEncoder):
12 def default(self, object):
13 if isinstance(object, datetime.datetime):
14 return object.isoformat()
15 return super().default(object)
18 def parse_datetime(date_str):
19 return datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S')
23 app.json_encoder = JSONEncoder
24 config = configparser.ConfigParser()
25 config.read(os.environ['SEEPARKINI'])
26 apikey = config.get('openweathermap', 'apikey')
29 def open_engine(config):
30 user = config.get('database', 'user')
31 pwd = config.get('database', 'password')
32 host = config.get('database', 'hostname')
33 db = config.get('database', 'database')
34 engine = create_engine('mysql+mysqldb://{}:{}@{}/{}'.format(user, pwd, host, db), echo=False)
38 @app.route('/api/<version>/sensors/')
40 """List all sensors found in the database"""
41 engine = open_engine(config)
42 with engine.connect() as conn:
43 cursor = conn.execute('select distinct sensor_id, sensor_name, value_type from sensors')
44 result = [dict(row) for row in cursor]
45 return jsonify(result)
48 @app.route('/api/<version>/sensor/<sensor_id>')
49 def sensor(version, sensor_id):
50 """Return all sensor data
53 begin=<datetime>, optional, format like "2018-05-19T21:07:53"
54 end=<datetime>, optional, format like "2018-05-19T21:07:53"
55 mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
57 engine = open_engine(config)
58 with engine.connect() as conn:
59 where = ['sensor_id=%s']
60 sql_args = [sensor_id]
63 if 'begin' in request.args:
64 where.append('timestamp>=%s')
65 begin = request.args.get('begin', None, parse_datetime)
66 sql_args.append(begin)
67 if 'end' in request.args:
68 where.append('timestamp<=%s')
69 end = request.args.get('end', None, parse_datetime)
71 sql = 'select * from sensors where {} order by id'.format(' and '.join(where))
72 cursor = conn.execute(sql, *sql_args)
73 result = [dict(row) for row in cursor]
75 mode = request.args.get('mode', 'full')
76 if mode == 'consolidated':
77 if begin is None or end is None:
80 # copied from munin/master/_bin/munin-cgi-graph.in
87 duration = (end - begin).total_seconds()
90 resolution = resolutions['day']
91 elif duration < 7 * day:
92 resolution = resolutions['week']
93 elif duration < 31 * day:
94 resolution = resolutions['month']
96 resolution = resolutions['year']
97 # TODO: filter out samples from 'result'
98 # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
100 return jsonify(result)
103 @app.route('/data/', defaults={'timespan': 1})
104 @app.route("/data/<int:timespan>", methods=['GET'])
106 granularity = 5 * timespan # (every) minute(s) per day
107 samples = 60/granularity * 24 * timespan # per hour over whole timespan
113 start = end - samples * granularity * 60
115 for i in range(int(samples)):
116 s4m.append(uniform(-10,30))
117 s5m.append(uniform(-10,30))
118 s4mt = uniform(start, end)
119 s5mt = uniform(start, end)
120 s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
121 s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
125 '0316a2193bff_x': s4m_x,
127 '0316a21383ff_x': s5m_x,
135 return render_template('seepark_web.html', apikey=apikey)