return engine
-@app.route('/api/<version>/sensors/')
-def sensors(version):
- """List all sensors found in the database"""
- engine = open_engine(config)
- with engine.connect() as conn:
- cursor = conn.execute('select distinct sensor_id, sensor_name, value_type from sensors')
- result = [dict(row) for row in cursor]
- return jsonify(result)
-
-
-@app.route('/api/<version>/sensor/<sensor_id>')
-def sensor(version, sensor_id):
- """Return all sensor data
-
- URL parameters:
- begin=<datetime>, optional, format like "2018-05-19T21:07:53"
- end=<datetime>, optional, format like "2018-05-19T21:07:53"
- mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
- """
+def select_sensordata(initial_where, initial_sql_args):
engine = open_engine(config)
with engine.connect() as conn:
- where = ['sensor_id=%s']
- sql_args = [sensor_id]
+ where = [initial_where]
+ sql_args = [initial_sql_args]
begin = None
end = None
if 'begin' in request.args:
cursor = conn.execute(sql, *sql_args)
result = [dict(row) for row in cursor]
- mode = request.args.get('mode', 'full')
- if mode == 'consolidated':
- if begin is None or end is None:
- pass
+ mode = request.args.get('mode', 'full')
+ if mode == 'consolidated':
+ if begin is None or end is None:
+ pass
+ else:
+ # copied from munin/master/_bin/munin-cgi-graph.in
+ 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:
- # copied from munin/master/_bin/munin-cgi-graph.in
- 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'
- # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
+ resolution = resolutions['year']
+ # TODO: filter out samples from 'result'
+ # like loop over results and skip if timestamp(n+1)-timestamp(n)<resolution
+
+ format = request.args.get('format', 'default')
+ if format == 'c3':
+ c3result = dict()
+ for row in result:
+ if not row['sensor_id'] in c3result:
+ c3result[row['sensor_id']] = list()
+ c3result[row['sensor_id']].append(row['value'])
+ if not row['sensor_id'] + '_x' in c3result:
+ c3result[row['sensor_id'] + '_x'] = list()
+ dt = row['timestamp'].strftime('%Y-%m-%d %H:%M:%S')
+ c3result[row['sensor_id'] + '_x'].append(dt)
+ result = c3result
+ return result
+
+@app.route('/api/<version>/sensors/')
+def sensors(version):
+ """List all sensors found in the database"""
+ engine = open_engine(config)
+ with engine.connect() as conn:
+ cursor = conn.execute('select distinct sensor_id, sensor_name, value_type from sensors')
+ result = [dict(row) for row in cursor]
return jsonify(result)
+@app.route('/api/<version>/sensor/id/<sensor_id>')
+def sensorid(version, sensor_id):
+ """Return all data for a specific sensor
+
+ URL parameters:
+ begin=<datetime>, optional, format like "2018-05-19T21:07:53"
+ end=<datetime>, optional, format like "2018-05-19T21:07:53"
+ mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
+ format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
+ """
+ result = select_sensordata('sensor_id=%s', sensor_id)
+ return jsonify(result)
+
+
+@app.route('/api/<version>/sensor/type/<sensor_type>')
+def sensortype(version, sensor_type):
+ """Return all data for a specific sensor type
+
+ URL parameters:
+ begin=<datetime>, optional, format like "2018-05-19T21:07:53"
+ end=<datetime>, optional, format like "2018-05-19T21:07:53"
+ mode=<full|consolidated>, optional. return all rows (default) or with lower resolution (for charts)
+ format=<default|c3>, optional. return result as returned by sqlalchemy (default) or formatted for c3.js
+ """
+ result = select_sensordata('value_type=%s', sensor_type)
+ return jsonify(result)
+
+
@app.route('/data/', defaults={'timespan': 1})
@app.route("/data/<int:timespan>", methods=['GET'])
def data(timespan):