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

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

‘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

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

‘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

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

‘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

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

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)[source]¶

Base point for Sender messages monitoring

classmethod initialize(serviceName)[source]¶: Initialize :param serviceName: service name

service: str¶: service name

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

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)[source]¶

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)[source]¶

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.monitoring.points.BaseMonitoringPoint(eventTime)[source]¶

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.monitoring.points.BaseRequestMonitoringPoint(requestId, resource, method, requestTime, service, statusCode)[source]¶

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.monitoring.points.DataForMonitoring(tags=<factory>, fields=<factory>)[source]¶: Class fo storing an additional data for monitoring.

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

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.monitoring.points.RequestMonitoringPoint(requestId, resource, method, executionTime, requestTime, service, statusCode, additionalTags=None, additionalFields=None)[source]¶

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.monitoring.points.getRoute(resource, method)[source]¶

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.monitoring.points.monitorTime(monitoringData, fieldName)[source]¶

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.monitoring.base_monitoring.BaseLunaMonitoring[source]¶

Base class for monitoring

abstract flushPoints(points)[source]¶

Flush point to monitoring.

Parameters: points – point
Return type: None

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

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)[source]¶

Flush point to influx.

Parameters: points – point
Return type: None

initializeMonitoring()[source]¶

Initialize monitoring

Return type: None

static prepareSettings(credentials, host, port, ssl)[source]¶

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()[source]¶

Stop monitoring.

Return type: None

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

class luna_sender.crutches_on_wheels.monitoring.influx_adapter.BaseMonitoringAdapter(settings, flushingPeriod)[source]¶

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)[source]¶

Add points to buffer.

Parameters: points – points
Return type: None

static convertPointToDict(point)[source]¶

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)[source]¶: Prepare influx client.

initializeScheduler()[source]¶

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

Return type: None

stopScheduler()[source]¶

Stop monitoring.

Return type: None

updateFlushingPeriod(newPeriod)[source]¶: Update flushing period :param newPeriod: new period

class luna_sender.crutches_on_wheels.monitoring.influx_adapter.InfluxMonitoringAdapter(settings, flushingPeriod)[source]¶

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)[source]¶

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

Returns: influx 2.0 write api
Return type: WriteApi

initializeMonitoring()[source]¶

Initialize monitoring.

Return type: None

stopMonitoring()[source]¶

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

Return type: None

class luna_sender.crutches_on_wheels.monitoring.influx_adapter.InfluxSettings(url, bucket, organization, token, ssl)[source]¶: Container for influx 2.x settings