+app = Flask(__name__)
+app.json_encoder = JSONEncoder
+app.config['SQLALCHEMY_DATABASE_URI'] = get_sqlalchemy_database_uri(config)
+app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
+db = SQLAlchemy(app)
+db.reflect(app=app)
+
+
+class Sensors(db.Model):
+ __tablename__ = 'sensors'
+
+
+class OpenWeatherMap(db.Model):
+ __tablename__ = 'openweathermap'
+
+
+def select_sensordata(sensor_id, sensor_type, begin, end, mode):
+ query = Sensors.query
+ if sensor_id is not None:
+ query = query.filter(Sensors.sensor_id == sensor_id)
+ if sensor_type is not None:
+ query = query.filter(Sensors.value_type == sensor_type)
+ if begin is not None:
+ query = query.filter(Sensors.timestamp >= begin)
+ if end is not None:
+ query = query.filter(Sensors.timestamp <= end)
+ if mode == 'consolidated' and begin is not None and end is not None:
+ # copied from munin/master/_bin/munin-cgi-graph.in
+ # interval in seconds for data points
+ resolutions = dict(
+ day = 300,
+ week = 1800,
+ month = 7200,
+ year = 86400,
+ )
+ duration = (end - begin).total_seconds()
+ day = 60 * 60 * 24
+ if duration <= day:
+ resolution = resolutions['day']
+ elif duration <= 7 * day:
+ resolution = resolutions['week']
+ elif duration <= 31 * day:
+ resolution = resolutions['month']
+ else:
+ resolution = resolutions['year']
+ # TODO: filter out samples from 'result'
+ # something like
+ # 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;
+ return query.all()
+
+
+def select_openweatherdata(cityid, begin, end, mode):
+ query = OpenWeatherMap.query.filter(OpenWeatherMap.cityid == cityid)
+ if begin is not None:
+ query = query.filter(OpenWeatherMap.datetime >= begin)
+ if end is not None:
+ query = query.filter(OpenWeatherMap.datetime <= end)
+ if mode == 'consolidated' and begin is not None and end is not None:
+ # copied from munin/master/_bin/munin-cgi-graph.in
+ # interval in seconds for data points
+ resolutions = dict(
+ day = 300,
+ week = 1800,
+ month = 7200,
+ year = 86400,
+ )
+ duration = (end - begin).total_seconds()
+ day = 60 * 60 * 24
+ if duration < day:
+ resolution = resolutions['day']
+ elif duration < 7 * day:
+ resolution = resolutions['week']
+ elif duration < 31 * day:
+ resolution = resolutions['month']
+ else:
+ resolution = resolutions['year']
+ # TODO: filter out samples from 'result'
+ # something like
+ # 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;
+ return query.all()
+
+
+def convert_to_c3(result, id, field_x, field_y):
+ c3result = defaultdict(list)
+ for row in result:
+ c3result[getattr(row, id)].append(getattr(row, field_y))
+ dt = getattr(row, field_x).strftime('%Y-%m-%d %H:%M:%S')
+ c3result[str(getattr(row, id)) + '_x'].append(dt)
+ return c3result
+
+
+def request_arg(key, type, default=None):
+ """Returns the key from the request if available, otherwise the default value.
+ In case type is provided and the key is present, the value is converted by calling type.
+ In other words: Reimplement request.args.get but don't return default value if
+ type raises a ValueError."""
+ if key in request.args:
+ try:
+ return type(request.args[key])
+ except ValueError as e:
+ abort(Response(str(e), 400))
+ else:
+ return default
+
+
+def sensordata(sensor_id=None, sensor_type=None):
+ begin = request_arg('begin', parse_datetime)
+ end = request_arg('end', parse_datetime)
+ mode = request.args.get('mode', 'full')
+ format = request.args.get('format', 'default')