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 def select_sensordata(initial_where, initial_sql_args):
39 engine = open_engine(config)
40 with engine.connect() as conn:
41 where = [initial_where]
42 sql_args = [initial_sql_args]
45 if 'begin' in request.args:
46 where.append('timestamp>=%s')
47 begin = request.args.get('begin', None, parse_datetime)
48 sql_args.append(begin)
49 if 'end' in request.args:
50 where.append('timestamp<=%s')
51 end = request.args.get('end', None, parse_datetime)
53 sql = 'select * from sensors where {} order by id'.format(' and '.join(where))
54 cursor = conn.execute(sql, *sql_args)
55 result = [dict(row) for row in cursor]
57 mode = request.args.get('mode', 'full')
58 if mode == 'consolidated':
59 if begin is None or end is None:
62 # copied from munin/master/_bin/munin-cgi-graph.in
69 duration = (end - begin).total_seconds()
72 resolution = resolutions['day']
73 elif duration < 7 * day:
74 resolution = resolutions['week']
75 elif duration < 31 * day:
76 resolution = resolutions['month']
78 resolution = resolutions['year']
79 # TODO: filter out samples from 'result'
80 # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
85 @app.route('/api/<version>/sensors/')
87 """List all sensors found in the database"""
88 engine = open_engine(config)
89 with engine.connect() as conn:
90 cursor = conn.execute('select distinct sensor_id, sensor_name, value_type from sensors')
91 result = [dict(row) for row in cursor]
92 return jsonify(result)
95 @app.route('/api/<version>/sensor/id/<sensor_id>')
96 def sensorid(version, sensor_id):
97 """Return all data for a specific sensor
100 begin=<datetime>, optional, format like "2018-05-19T21:07:53"
101 end=<datetime>, optional, format like "2018-05-19T21:07:53"
102 mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
104 result = select_sensordata('sensor_id=%s', sensor_id)
105 return jsonify(result)
108 @app.route('/api/<version>/sensor/type/<sensor_type>')
109 def sensortype(version, sensor_type):
110 """Return all data for a specific sensor type
113 begin=<datetime>, optional, format like "2018-05-19T21:07:53"
114 end=<datetime>, optional, format like "2018-05-19T21:07:53"
115 mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
117 result = select_sensordata('value_type=%s', sensor_type)
118 return jsonify(result)
121 @app.route('/data/', defaults={'timespan': 1})
122 @app.route("/data/<int:timespan>", methods=['GET'])
124 granularity = 5 * timespan # (every) minute(s) per day
125 samples = 60/granularity * 24 * timespan # per hour over whole timespan
131 start = end - samples * granularity * 60
133 for i in range(int(samples)):
134 s4m.append(uniform(-10,30))
135 s5m.append(uniform(-10,30))
136 s4mt = uniform(start, end)
137 s5mt = uniform(start, end)
138 s4m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s4mt)))
139 s5m_x.append(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(s5mt)))
143 '0316a2193bff_x': s4m_x,
145 '0316a21383ff_x': s5m_x,
153 return render_template('seepark_web.html', apikey=apikey)