Monitoring

Data for monitoring

Now we monitor several types of events:

• request, all http and ws requests.

• error, all failed http and ws requests.

• ws requests, all messages send by websockets (ws) to clients.

• subscription error, all errors, generated during redis messages processing or during the subscription

  establishment to redis.

• redis messages, all messages from redis

Every event is a point in the time series. The point is represented as union of the following data:

• series name (now requests and errors)

• start request time

• tags, indexed data in storage, dictionary: keys - string tag names, values - string, integer, float

• fields, non indexed data in storage, dictionary: keys - string tag names, values - string, integer, float

‘Requests’ series. Triggered on every http or websockets request. Each point contains data about the corresponding request (execution time and etc).

• tags

  tag name	description
  service	always “luna-sender”
  route	concatenation of a request method and a request resource (GET:/version)
  status_code	http status code of response

• fields

  fields	description
  request_id	request id
  execution_time	request execution time

‘Errors’ series. Triggered on failed http or websockets request. Each point contains error_code of luna error.

• tags

  tag name	description
  service	always “luna-sender”
  route	concatenation of a request method and a request resource (GET:/version)
  status_code	http status code of response
  error_code	luna error code

• fields

  fields	description
  request_id	request id

‘Subscription errors’ series. Triggered on an error in a pipeline of processing messages from redis or redis subscription. Each point contains error_code of luna error.

• tags

  tag name	description
  service	always “luna-sender”
  error_code	luna error code

• fields, now nothing

‘ws requests’ series. Triggered on every request by ws to a client. Each point contains a time of processing

• tags

  tag name	description
  service	always “luna-sender”
  account_id	account id or none

• fields

  fields	description
  transport_time	time between getting message from redis and finish sending request to a client
  request_id	request id

Can be to add additional tags or fields in ‘subscription_error’.

Database

Monitoring is implemented as data sending to an influx database. You can setup your database credentials in configuration file in section “monitoring”.

Classes

Points. For monitoring events in the redis context

class luna_sender.app.monitoring.points.BaseSenderMonitoringPoint(eventTime)

Base point for Sender messages monitoring

classmethod initialize(serviceName)

Initialize :param serviceName: service name

service: str

service name

class luna_sender.app.monitoring.points.ErrorPoint(eventTime, errorCode, additionalTags=None, additionalFields=None)

Point for monitoring errors of processing messages from redis or connecting to redis

additionalTags

additional tags for point

Type:

dict

errorCode

error code

Type:

str

additionalFields

additional fields for point

Type:

dict

property fields: dict

Get point fields

Returns:

dict with additional fields

Return type:

dict

series: str = 'subscription_error'

series

property tags: dict

Get point tags

Returns:

dict with service as keys + additionalTags

Return type:

dict

class luna_sender.app.monitoring.points.SubscribeRedisPoint(requestId, chanel, eventTime)

Point for monitoring receiving message from redis

requestId

request id from luna

Type:

str

chanel

redis chanel (‘{chane name}:{account id}’)

Type:

str

property fields: dict

Get point fields :returns: dict with request id id as keys

Return type:

dict

series: str = 'redis_message'

series

property tags: dict

Get point tags

Returns:

dict with chanel and service as keys

Return type:

dict

class luna_sender.app.monitoring.points.WSRequestPoint(eventTime, requestId, transportTime, accountId)

Point for monitoring sending message to ws

accountId

account id

Type:

str

requestId

request id from luna

Type:

str

transportTime

time between getting message from redis and sending it to a ws (seconds)

Type:

float

property fields: dict

Get point fields :returns: dict with request id id and transport time as keys

Return type:

dict

series: str = 'ws_requests'

series

property tags: dict

Get point tags

Returns:

dict with account id and service as keys

Return type:

dict

Module contains points for monitoring’s.

class luna_sender.crutches_on_wheels.cow.monitoring.points.BaseMonitoringPoint(eventTime)

Abstract class for points

eventTime

event time as timestamp

Type:

float

abstract property fields: Dict[str, Union[int, float, str]]

Get tags from point. We supposed that fields are not indexing data

Returns:

dict with fields.

Return type:

Dict[str, Union[int, float, str]]

abstract property tags: Dict[str, Union[int, float, str]]

Get tags from point. We supposed that tags are indexing data

Returns:

dict with tags.

Return type:

Dict[str, Union[int, float, str]]

class luna_sender.crutches_on_wheels.cow.monitoring.points.BaseRequestMonitoringPoint(requestId, resource, method, requestTime, service, statusCode)

Base class for point which is associated with requests.

requestId

request id

Type:

str

route

concatenation of a request method and a request resource

Type:

str

service

service name

Type:

str

requestTime

a request processing start timestamp

Type:

float

statusCode

status code of a request response.

Type:

int

property fields: Dict[str, Union[int, float, str]]

Get fields

Returns:

“request_id”

Return type:

dict with following keys

Return type:

Dict[str, Union[int, float, str]]

property tags: Dict[str, Union[int, float, str]]

Get tags

Returns:

“route”, “service”, “status_code”

Return type:

dict with following keys

Return type:

Dict[str, Union[int, float, str]]

class luna_sender.crutches_on_wheels.cow.monitoring.points.DataForMonitoring(tags=<factory>, fields=<factory>)

Class fo storing an additional data for monitoring.

class luna_sender.crutches_on_wheels.cow.monitoring.points.RequestErrorMonitoringPoint(requestId, resource, method, errorCode, service, requestTime, statusCode, additionalTags=None, additionalFields=None)

Request monitoring point is suspended for monitoring requests errors (error codes)

errorCode

error code

Type:

int

additionalTags

additional tags which was specified for the request

Type:

dict

additionalFields

additional fields which was specified for the request

Type:

dict

property fields: Dict[str, Union[int, float, str]]

Get fields.

Returns:

dict with base fields and additional tags

Return type:

Dict[str, Union[int, float, str]]

series: str = 'errors'

series “errors”

property tags: Dict[str, Union[int, float, str]]

Get tags.

Returns:

dict with base tags, “error_code” and additional tags

Return type:

Dict[str, Union[int, float, str]]

class luna_sender.crutches_on_wheels.cow.monitoring.points.RequestMonitoringPoint(requestId, resource, method, executionTime, requestTime, service, statusCode, additionalTags=None, additionalFields=None)

Request monitoring point is suspended for monitoring all requests and measure a request time and etc.

executionTime

execution time

Type:

float

additionalTags

additional tags which was specified for the request

Type:

dict

additionalFields

additional fields which was specified for the request

Type:

dict

property fields: Dict[str, Union[int, float, str]]

Get fields.

Returns:

dict with base fields, “execution_time” and additional tags

Return type:

Dict[str, Union[int, float, str]]

series: str = 'requests'

series “request”

property tags: Dict[str, Union[int, float, str]]

Get tags.

Returns:

dict with base tags and additional tags

Return type:

Dict[str, Union[int, float, str]]

luna_sender.crutches_on_wheels.cow.monitoring.points.getRoute(resource, method)

Get a request route, concatenation of a request method and a request resource :param resource: resource :param method: method

Returns:

{resource}”

Return type:

“{method}

Return type:

str

luna_sender.crutches_on_wheels.cow.monitoring.points.monitorTime(monitoringData, fieldName)

Context manager for timing execution time.

Parameters:

• monitoringData – container for saving result

• fieldName – field name

Module implement base class for monitoring

class luna_sender.crutches_on_wheels.cow.monitoring.base_monitoring.BaseLunaMonitoring

Base class for monitoring

abstract flushPoints(points)

Flush point to monitoring.

Parameters:

points – point

Return type:

None

class luna_sender.crutches_on_wheels.cow.monitoring.base_monitoring.LunaRequestInfluxMonitoring(credentials, host='localhost', port=8086, ssl=False, flushingPeriod=1)

Class for sending data which is associated with request to influx .. attribute:: settings

influxdb settings

type:

InfluxSettings

flushingPeriod

period of flushing points (in seconds)

Type:

int

flushPoints(points)

Flush point to influx.

Parameters:

points – point

Return type:

None

initializeMonitoring()

Initialize monitoring

Return type:

None

static prepareSettings(credentials, host, port, ssl)

Prepare influxdb settings :param credentials: database credentials :param host: influx host :param port: influx port :param ssl: use or not ssl for connecting to influx

Returns:

influxdb settings container

Return type:

InfluxSettings

async stopMonitoring()

Stop monitoring.

Return type:

None

Module contains classes for sending a data to an influx monitoring.

class luna_sender.crutches_on_wheels.cow.monitoring.influx_adapter.BaseMonitoringAdapter(settings, flushingPeriod)

Base monitoring adapter.

client

influx client

Type:

InfluxDBClient

backgroundScheduler

runner for periodic flushing monitoring points

Type:

AsyncIOScheduler

_buffer

list of buffering points which is waiting sending to influx

Type:

List[BaseRequestMonitoringPoint]

flushingPeriod

period of flushing points (in seconds)

Type:

float

logger

logger

Type:

Logger

_influxSettings

current influx settings

Type:

InfluxSettings

_job

sending monitoring data job

Type:

Job

addPointsToBuffer(points)

Add points to buffer.

Parameters:

points – points

Return type:

None

static convertPointToDict(point)

Convert point to influx client point :param point: point

Returns:

• ‘time’ - timestamp in nanoseconds

• ’measurement’ - time series

• ’tags’ - dict of tags (values are str)

• ’fields’ - dict of fields

Return type:

dict

Return type:

dict

abstract static getClient(settings)

Prepare influx client.

initializeScheduler()

Start the loop for sending data from the buffer to monitoring.

Return type:

None

stopScheduler()

Stop monitoring.

Return type:

None

updateFlushingPeriod(newPeriod)

Update flushing period :param newPeriod: new period

class luna_sender.crutches_on_wheels.cow.monitoring.influx_adapter.InfluxMonitoringAdapter(settings, flushingPeriod)

Influx 2.x adaptor. Suspended to send points to an influxdb

client

influx 2.x client

Type:

InfluxDBClient

bucket

influx bucket name

Type:

str

static getClient(settings)

Initialize influx 2.x client. :param settings: influx 2.x settings

Returns:

influx 2.0 write api

Return type:

WriteApi

initializeMonitoring()

Initialize monitoring.

Return type:

None

stopMonitoring()

Stop monitoring (cancel all request and stop getting new).

Return type:

None

class luna_sender.crutches_on_wheels.cow.monitoring.influx_adapter.InfluxSettings(url, bucket, organization, token, ssl)

Container for influx 2.x settings