# Copyright (c) 2019, MD2K Center of Excellence
# - Nasir Ali <nasir.ali08@gmail.com>
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import json
import traceback
from datetime import datetime
import pandas as pd
from influxdb import DataFrameClient
from influxdb import InfluxDBClient
from cerebralcortex.core.datatypes import DataStream
[docs]class InfluxdbHandler():
###################################################################
################## STORE DATA METHODS #############################
###################################################################
[docs] def save_data_to_influxdb(self, datastream: DataStream):
"""
Save data stream to influxdb only for visualization purposes.
Args:
datastream (DataStream): a DataStream object
Returns:
bool: True if data is ingested successfully or False otherwise
Todo:
This needs to be updated with the new structure. Should metadata be stored or not?
Example:
>>> CC = CerebralCortex("/directory/path/of/configs/")
>>> ds = DataStream(dataframe, MetaData)
>>> CC.save_data_to_influxdb(ds)
"""
st = datetime.now()
client = InfluxDBClient(host=self.influxdbIP, port=self.influxdbPort, username=self.influxdbUser,
password=self.influxdbPassword, database=self.influxdbDatabase)
datapoints = datastream.data
stream_identifier = datastream.identifier
stream_owner_id = datastream.owner
stream_owner_name = self.sql_data.get_username(stream_owner_id)
stream_name = datastream.name
if datastream.data_descriptor:
total_dd_columns = len(datastream.data_descriptor)
data_descriptor = datastream.data_descriptor
else:
data_descriptor = []
total_dd_columns = 0
influx_data = []
for datapoint in datapoints:
object = {}
object['measurement'] = stream_name
object['tags'] = {'stream_id': stream_identifier, 'owner_id': stream_owner_id,
'owner_name': stream_owner_name}
object['time'] = datapoint.start_time
values = datapoint.sample
try:
object['fields'] = {}
if isinstance(values, list):
for i, sample_val in enumerate(values):
if len(values) == total_dd_columns:
dd = data_descriptor[i]
if "NAME" in dd:
object['fields'][dd["NAME"]] = sample_val
else:
object['fields']['value_' + str(i)] = sample_val
else:
object['fields']['value_' + str(i)] = sample_val
else:
if len(data_descriptor)>0 and "NAME" in data_descriptor[0]:
object['fields'][dd["NAME"]] = values
else:
object['fields']['value_0'] = values
except:
try:
values = json.dumps(values)
object['fields']['value_0'] = values
except:
object['fields']['value_0'] = str(values)
influx_data.append(object)
try:
client.write_points(influx_data)
except:
self.logging.log(error_message="STREAM ID: " + stream_identifier + " - Cannot save raw data. " + str(
traceback.format_exc()), error_type=self.logtypes.CRITICAL)
[docs] def write_pd_to_influxdb(self, user_id: str, username: str, stream_name: str, df: pd.DataFrame):
"""
Store data in influxdb. Influxdb is used for visualization purposes
Args:
user_id (str): id of a user
username (str): username
stream_name (str): name of a stream
df (pandas): pandas dataframe
Raises:
Exception: if error occurs during storing data to influxdb
"""
client = DataFrameClient(host=self.influxdbIP, port=self.influxdbPort, username=self.influxdbUser,
password=self.influxdbPassword, database=self.influxdbDatabase)
try:
df["stream_name"] = stream_name
df["user_id"] = user_id
df['username'] = username
del df["localtime"]
tags = ['username', 'user_id', 'stream_name']
df.set_index('timestamp', inplace=True)
client.write_points(df, measurement=stream_name, tag_columns=tags, protocol='json')
except Exception as e:
raise Exception("Error in writing data to influxdb. " + str(e))