Monitoring

Data for monitoring

Now we monitor two types of events for monitoring: request and * error*. First type is all requests, second is a failed requests only. 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 request. Each point contains a data about corresponding request ( execution time and etc).

• tags

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

• fields

  fields	description
  request_id	request id
  execution_time	request execution time

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

• tags

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

• fields

  fields	description
  request_id	request id

Database

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

Plugins

You can realize your own plugin for sending monitoring data. See plugins

Module request monitoring plugin example

class luna_accounts.crutches_on_wheels.cow.plugins.plugin_examples.request_monitoring_plugin_example.BaseRequestMonitoringPlugin(app)

Base class for requests monitoring.

abstract async flushPointToMonitoring(points, logger)

All plugins must realize this method.

This function call after end of request

Parameters:

• points – points for monitoring which corresponding the request

• logger – logger

Return type:

None

async handleEvent(points, logger)

Handle event

Parameters:

• *args – positional arg for event handler function

• **kwargs – named arg for event handler function

class luna_accounts.crutches_on_wheels.cow.plugins.plugin_examples.request_monitoring_plugin_example.RequestMonitoringPlugin(app)

Example plugin sends a request data for monitoring to third-party source. Only one instance of this class exist during the program execution.

async close()

Stop plugin.

Close all open connections and ect

async flushPointToMonitoring(points, logger)

Callback for sending a request monitoring data.

Parameters:

• points – point for monitoring which corresponding the request

• logger – logger

Return type:

None

async initialize()

Initialize plugin.

Close all open connections and ect

Classes

Module contains points for monitoring’s.

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

Abstract class for points

eventTime

event time as timestamp

Type:

float

abstract property fields: Dict[str, 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, 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_accounts.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, 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, 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_accounts.crutches_on_wheels.cow.monitoring.points.DataForMonitoring(tags=<factory>, fields=<factory>)

Class fo storing an additional data for monitoring.

class luna_accounts.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, 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, 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_accounts.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, 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, int | float | str]

Get tags.

Returns:

dict with base tags and additional tags

Return type:

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

luna_accounts.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_accounts.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_accounts.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_accounts.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

async close()

Stop monitoring.

Return type:

None

flushPoints(points)

Flush point to influx.

Parameters:

points – point

Return type:

None

async initialize()

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

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

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

Base monitoring adapter.

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 convertFieldsToInfluxLineProtocol(fields)

Convert field value to influx line protocol format

Parameters:

fields – dict with values to convert

Retruns:

line protocol string

Return type:

str

generatePointStr(point)

Generate string from point

Parameters:

point – point

Returns:

influx line protocol string

Return type:

str

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_accounts.crutches_on_wheels.cow.monitoring.influx_adapter.InfluxMonitoringAdapter(settings, flushingPeriod)

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

bucket

influx bucket name

Type:

str

initializeMonitoring()

Initialize monitoring.

Return type:

None

async stopMonitoring()

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

Return type:

None

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

Container for influx 2.x settings