1 from random import uniform
7 from collections import defaultdict
8 from flask import Flask, render_template, jsonify, request
10 from flask_sqlalchemy import SQLAlchemy, inspect
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
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}
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)
34 def parse_datetime(date_str):
35 return datetime.datetime.strptime(date_str, '%Y-%m-%dT%H:%M:%S')
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)
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')
53 app.json_encoder = JSONEncoder
54 app.config['SQLALCHEMY_DATABASE_URI'] = get_sqlalchemy_database_uri(config)
55 app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
60 class Sensors(db.Model):
61 __tablename__ = 'sensors'
64 def select_sensordata(sensor_id, sensor_type, begin, end, mode):
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)
71 query = query.filter(Sensors.timestamp >= begin)
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
83 duration = (end - begin).total_seconds()
86 resolution = resolutions['day']
87 elif duration < 7 * day:
88 resolution = resolutions['week']
89 elif duration < 31 * day:
90 resolution = resolutions['month']
92 resolution = resolutions['year']
93 # TODO: filter out samples from 'result'
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;
99 def convert_to_c3(result):
100 c3result = defaultdict(list)
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)
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')
114 result = select_sensordata(sensor_id, sensor_type, begin, end, mode)
117 return convert_to_c3(result)
121 def currentairtemperature(apikey, cityid):
122 """Retruns the tuple temperature, datetime (as float, datetime) in case of success, otherwise None, None."""
124 url, weatherdata = openweathermap_json(apikey, cityid)
125 return weatherdata['main']['temp'], datetime.datetime.fromtimestamp(weatherdata['dt'])
126 except OpenWeatherMapError:
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
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)
142 @app.route('/api/<version>/sensor/id/<sensor_id>')
143 def sensorid(version, sensor_id):
144 """Return all data for a specific sensor
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
152 result = sensordata(sensor_id=sensor_id)
153 return jsonify(result)
156 @app.route('/api/<version>/sensor/type/<sensor_type>')
157 def sensortype(version, sensor_type):
158 """Return all data for a specific sensor type
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
166 result = sensordata(sensor_type=sensor_type)
167 return jsonify(result)
170 @app.route('/data/', defaults={'timespan': 1})
171 @app.route("/data/<int:timespan>", methods=['GET'])
173 granularity = 5 * timespan # (every) minute(s) per day
174 samples = 60/granularity * 24 * timespan # per hour over whole timespan
180 start = end - samples * granularity * 60
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)))
192 '0316a2193bff_x': s4m_x,
194 '0316a21383ff_x': s5m_x,
202 airvalue, airtime = currentairtemperature(apikey, cityid)
203 watervalue, watertime = currentwatertemperature(mainsensor)
205 return render_template(
208 watervalue=watervalue,