def influxdb_to_json(self, sol_influxdb):
"""
Converts an Influxdb query reply into a list of dicts.
:param sol_influxdb dict: the result of a database query (sush as SELECT * FROM)
:return: a list of JSON SOL objects
:rtype: list
"""
# verify influxdb data
if not ("series" in sol_influxdb):
raise ValueError("Influxdb data not recognized")
# init
json_list = []
# remove unused headers
for serie in sol_influxdb["series"]:
for val in serie['values']:
# convert to dict
d_influxdb = dict(zip(serie['columns'], val))
# unflat dict
obj_value = flatdict.FlatDict(d_influxdb).as_dict()
# parse specific HR_NEIGHBORS
hr_nghb_name = SolDefines.solTypeToTypeName(
SolDefines, SolDefines.SOL_TYPE_DUST_NOTIF_HRNEIGHBORS)
if serie['name'] == hr_nghb_name:
for i in range(0, len(obj_value["neighbors"]) + 1):
ngbr_id = str(i)
# new HR_NGBR parsing
if ngbr_id in obj_value["neighbors"]:
if obj_value["neighbors"][ngbr_id][
"neighborFlag"] is None:
del obj_value["neighbors"][ngbr_id]
# old HR_NGBR parsing
if ngbr_id in obj_value:
if obj_value[ngbr_id]["neighborFlag"] is not None:
obj_value["neighbors"][ngbr_id] = obj_value[
ngbr_id]
del obj_value[ngbr_id]
# time is not passed in the "value" field
del obj_value["time"]
# create final dict
jdic = {
'type': serie['name'],
'mac': serie['tags']['mac'],
'value': obj_value,
'timestamp': d_influxdb['time'],
}
json_list.append(jdic)
return json_list
def influxdb_to_json(self, sol_influxdb):
"""
Converts an Influxdb query reply into a list of dicts.
:param sol_influxdb dict: the result of a database query (sush as SELECT * FROM)
:return: a list of JSON SOL objects
:rtype: list
"""
# verify influxdb data
if not ("series" in sol_influxdb):
raise ValueError("Influxdb data not recognized")
# init
json_list = []
# remove unused headers
for serie in sol_influxdb["series"]:
for val in serie['values']:
# convert to dict
d_influxdb = dict(zip(serie['columns'], val))
# unflat dict
obj_value = flatdict.FlatDict(d_influxdb).as_dict()
# parse specific HR_NEIGHBORS
hr_nghb_name = SolDefines.solTypeToTypeName(
SolDefines,
SolDefines.SOL_TYPE_DUST_NOTIF_HRNEIGHBORS)
if serie['name'] == hr_nghb_name:
for i in range(0,len(obj_value["neighbors"])+1):
ngbr_id = str(i)
# new HR_NGBR parsing
if ngbr_id in obj_value["neighbors"]:
if obj_value["neighbors"][ngbr_id]["neighborFlag"] is None:
del obj_value["neighbors"][ngbr_id]
# old HR_NGBR parsing
if ngbr_id in obj_value:
if obj_value[ngbr_id]["neighborFlag"] is not None:
obj_value["neighbors"][ngbr_id] = obj_value[ngbr_id]
del obj_value[ngbr_id]
# time is not passed in the "value" field
del obj_value["time"]
# create final dict
jdic = {
'type' : serie['name'],
'mac' : serie['tags']['mac'],
'value' : obj_value,
'timestamp' : d_influxdb['time'],
}
json_list.append(jdic)
return json_list
def json_to_influxdb(self, sol_json, tags):
"""
Convert a JSON SOL object into a InfluxDB point
:param list sol_json: JSON SOL object
:return: InfluxDB point
:rtpe: list
"""
# fields
if sol_json['type'] == SolDefines.SOL_TYPE_DUST_NOTIF_HRNEIGHBORS:
fields = {}
for n in sol_json["value"]['neighbors']:
fields["neighbors:" + str(n['neighborId'])] = n
fields['numItems'] = sol_json["value"]['numItems']
elif sol_json['type'] == SolDefines.SOL_TYPE_DUST_NOTIF_HRDISCOVERED:
fields = sol_json["value"]
elif sol_json['type'] == SolDefines.SOL_TYPE_DUST_SNAPSHOT:
fields = {}
fields["mote"] = []
for mote in sol_json["value"]:
mote["macAddress"] = FormatUtils.formatBuffer(
mote["macAddress"])
for path in mote["paths"]:
path["macAddress"] = FormatUtils.formatBuffer(
path["macAddress"])
fields["mote"].append(mote)
elif sol_json['type'] == SolDefines.SOL_TYPE_DUST_EVENTNETWORKRESET:
fields = {'value': 'dummy'}
else:
fields = sol_json["value"]
for (k, v) in fields.items():
if type(v) == list: # mac
if k in ['macAddress', 'source', 'dest']:
fields[k] = FormatUtils.formatBuffer(v)
elif k in [
'sol_version', 'sdk_version', 'solmanager_version'
]:
fields[k] = ".".join(str(i) for i in v)
f = flatdict.FlatDict(fields)
fields = {}
for (k, v) in f.items():
fields[k] = v
# add additionnal fiel if apply_function exists
try:
obj_struct = SolDefines.solStructure(sol_json['type'])
if 'apply' in obj_struct:
for ap in obj_struct['apply']:
arg_list = [fields[arg] for arg in ap["args"]]
fields[ap["name"]] = ap["function"](*arg_list)
except ValueError:
pass
# get SOL type
measurement = SolDefines.solTypeToTypeName(SolDefines,
sol_json['type'])
# convert SOL timestamp to UTC
utc_time = sol_json["timestamp"] * 1000000000
sol_influxdb = {
"time": utc_time,
"tags": tags,
"measurement": measurement,
"fields": fields,
}
return sol_influxdb
def json_to_influxdb(self,sol_json,tags):
"""
Convert a JSON SOL object into a InfluxDB point
:param list sol_json: JSON SOL object
:return: InfluxDB point
:rtpe: list
"""
# tags
obj_tags = copy.deepcopy(tags)
# fields
if sol_json['type']==SolDefines.SOL_TYPE_DUST_NOTIF_HRNEIGHBORS:
fields = {}
for n in sol_json["value"]['neighbors']:
fields["neighbors:" + str(n['neighborId'])] = n
fields['numItems'] = sol_json["value"]['numItems']
elif sol_json['type']==SolDefines.SOL_TYPE_DUST_NOTIF_HRDISCOVERED:
fields = sol_json["value"]
elif sol_json['type']==SolDefines.SOL_TYPE_DUST_SNAPSHOT:
fields = {}
fields["mote"] = []
for mote in sol_json["value"]:
mote["macAddress"] = FormatUtils.formatBuffer(mote["macAddress"])
for path in mote["paths"]:
path["macAddress"] = FormatUtils.formatBuffer(path["macAddress"])
fields["mote"].append(mote)
elif sol_json['type']==SolDefines.SOL_TYPE_DUST_EVENTNETWORKRESET:
fields = {'value':'dummy'}
else:
fields = sol_json["value"]
for (k,v) in fields.items():
if type(v)==list: # mac
if k in ['macAddress','source','dest']:
fields[k] = FormatUtils.formatBuffer(v)
elif k in ['sol_version','sdk_version','solmanager_version']:
fields[k] = ".".join(str(i) for i in v)
f = flatdict.FlatDict(fields)
fields = {}
for (k,v) in f.items():
fields[k] = v
# add additionnal field or tag if apply_function exists
try:
obj_struct = SolDefines.solStructure(sol_json['type'])
if 'apply' in obj_struct:
for ap in obj_struct['apply']:
arg_list = [fields[arg] for arg in ap["args"]]
if "field" in ap:
fields[ap["field"]] = ap["function"](*arg_list)
if "tag" in ap:
obj_tags[ap["tag"]] = ap["function"](*arg_list)
except ValueError:
pass
# get SOL type
measurement = SolDefines.solTypeToTypeName(SolDefines,sol_json['type'])
# convert SOL timestamp to UTC
utc_time = sol_json["timestamp"]*1000000000
sol_influxdb = {
"time" : utc_time,
"tags" : obj_tags,
"measurement" : measurement,
"fields" : fields,
}
return sol_influxdb
