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Plugin feinstaubsensor: prepare for multiple fields per sensor metric

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Optional components of the Feinstaubsensor may provide alternative
values for specific metrics (e.g. a BME280 sensor measures humidity,
temperature and atmospheric pressure).
This commit is contained in:
Lars Kruse 2020-10-31 23:22:25 +01:00
parent 90d214cd5a
commit ca6107d396
1 changed files with 35 additions and 18 deletions
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53
plugins/luftdaten/feinstaubsensor
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@ -81,42 +81,54 @@ graphs = [
"graph_vlabel": "%",
"graph_args": "-l 0",
"graph_info": "Wifi signal strength",
"api_value_name": "signal",
"fields": [
{"api_key": "signal"},
],
"value_type": "GAUGE",
}, {
"name": "feinstaub_samples",
"graph_title": "Feinstaub Sample Count",
"graph_vlabel": "#",
"graph_info": "Number of samples since bootup",
"api_value_name": "samples",
"fields": [
{"api_key": "samples"},
],
"value_type": "DERIVE",
}, {
"name": "feinstaub_humidity",
"graph_title": "Feinstaub Humidity",
"graph_vlabel": "% humidity",
"graph_info": "Weather information: air humidity",
"api_value_name": "humidity",
"fields": [
{"api_key": "humidity"},
],
"value_type": "GAUGE",
}, {
"name": "feinstaub_temperature",
"graph_title": "Feinstaub Temperature",
"graph_vlabel": "°C",
"graph_info": "Weather information: temperature",
"api_value_name": "temperature",
"fields": [
{"api_key": "temperature"},
],
"value_type": "GAUGE",
}, {
"name": "feinstaub_particles_pm10",
"graph_title": "Feinstaub Particle Measurement P10",
"graph_vlabel": "µg / m³",
"graph_info": "Concentration of particles with a size between 2.5µm and 10µm",
"api_value_name": "SDS_P1",
"fields": [
{"api_key": "SDS_P1"},
],
"value_type": "GAUGE",
}, {
"name": "feinstaub_particles_pm2_5",
"graph_title": "Feinstaub Particle Measurement P2.5",
"graph_vlabel": "µg / m³",
"graph_info": "Concentration of particles with a size up to 2.5µm",
"api_value_name": "SDS_P2",
"fields": [
{"api_key": "SDS_P2"},
],
"value_type": "GAUGE",
}]
@ -181,15 +193,16 @@ def print_graph_section(graph_description, hosts, include_config, include_values
for host_info in hosts:
data = get_sensor_data(host_info.host)
if data:
for dataset in data["sensordatavalues"]:
if dataset["value_type"] == graph_description["api_value_name"]:
results.append((host_info, dataset["value"]))
break
else:
# We cannot distinguish between fields that are not supported by the sensor (most
# are optional) and missing data. Thus we cannot handle online/offline sensor data
# fields, too.
pass
for data_field in graph_description["fields"]:
for dataset in data["sensordatavalues"]:
if dataset["value_type"] == data_field["api_key"]:
results.append((host_info, data_field, dataset["value"]))
break
else:
# We cannot distinguish between fields that are not supported by the sensor
# (most are optional) and missing data. Thus we cannot handle online/offline
# sensor data fields, too.
pass
# skip this multigraph, if no host contained this data field
if results:
print("multigraph {}".format(graph_description["name"]))
@ -199,11 +212,15 @@ def print_graph_section(graph_description, hosts, include_config, include_values
for key in ("graph_title", "graph_vlabel", "graph_args", "graph_info"):
if key in graph_description:
print("{} {}".format(key, graph_description[key]))
for host_info, value in results:
print("{}.label {}".format(host_info.fieldname, host_info.label))
for host_info, data_field, value in results:
try:
label = "{} ({})".format(host_info.label, data_field["info"])
except KeyError:
label = host_info.label
print("{}.label {}".format(host_info.fieldname, label))
print("{}.type {}".format(host_info.fieldname, graph_description["value_type"]))
if include_values:
for host_info, value in results:
for host_info, data_field, value in results:
print("{}.value {}".format(host_info.fieldname, value))
print()