Monitoring¶

Data for monitoring¶

Now we monitor several types of events:

request, all HTTP requests.

error, all failed HTTP requests.

subtask execution, some messages about a process of executing a task.

subtask errors, all errors, generated during subtask processing.

subtask final, messages about the end of subtask processing.

worker requests, all messages, generated during subtask sending to workers.

worker queue, some messages about a transportation task through a worker queue.

Every event is a point in the time series. The point is represented as a 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 request. Each point contains data about the corresponding request (execution time and etc).

tags

tag name

description

service

“luna-tasks” or “luna-tasks-worker”

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	“luna-tasks” or “luna-tasks-worker”
route	concatenation of a request method and a request resource (GET:/version)
status_code	http status code of response

fields	description
request_id	request id
execution_time	request execution time

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

tags

tag name

description

service

“luna-tasks” or “luna-tasks-worker”

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	“luna-tasks” or “luna-tasks-worker”
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	description
request_id	request id

‘Subtask errors’ series. Triggered on an error in a pipeline of a task processing.

tags

tag name

description

service

always “luna-tasks-worker”

task_id

task id

subtask_id

subtask id

task_type

task type (1, 2, 3, …)

error_code

luna error code

fields

fields

description

error_code

luna error code

tag name	description
service	always “luna-tasks-worker”
task_id	task id
subtask_id	subtask id
task_type	task type (1, 2, 3, …)
error_code	luna error code

fields	description
error_code	luna error code

‘subtask execution’ series. Triggered on an error in a pipeline of a task processing.

tags

tag name

description

service

always “luna-tasks-worker”

task_id

task id

subtask_id

subtask id

task_type

task type (1, 2, 3, …)

fields

fields

description

save_result_time

time of saving result in image-store (all task type)

linked_faces

approximate linked faces count (linker task)

extracted_descriptors

extracted descriptors count (additional extract task)

events

removed event ids count (gc task)

match_time

matching time (crossmatching task)

clusterization_report_build_time

build report time (reporter task)

tag name	description
service	always “luna-tasks-worker”
task_id	task id
subtask_id	subtask id
task_type	task type (1, 2, 3, …)

fields	description
save_result_time	time of saving result in image-store (all task type)
linked_faces	approximate linked faces count (linker task)
extracted_descriptors	extracted descriptors count (additional extract task)
events	removed event ids count (gc task)
match_time	matching time (crossmatching task)
clusterization_report_build_time	build report time (reporter task)

‘subtask final’ series. Triggered on an end of subtask execution.

tags

tag name

description

service

always “luna-tasks-worker”

task_id

task id

subtask_id

subtask id

task_type

task type (1, 2, 3, …)

fields

fields

description

execution_time

execution subtask time

tag name	description
service	always “luna-tasks-worker”
task_id	task id
subtask_id	subtask id
task_type	task type (1, 2, 3, …)

fields	description
execution_time	execution subtask time

‘worker queue’ series. Triggered on a getting task from the worker queue.

tags

tag name

description

service

always “luna-tasks-worker”

task_id

task id

subtask_id

subtask id

task_type

task type (1, 2, 3, …)

fields

fields

description

transport_time

time between receiving task of a worker and start execution

tag name	description
service	always “luna-tasks-worker”
task_id	task id
subtask_id	subtask id
task_type	task type (1, 2, 3, …)

fields	description
transport_time	time between receiving task of a worker and start execution

‘worker requests’ series. Triggered after sending subtask to a worker.

tags

tag name

description

service

always “luna-tasks-worker”

task_id

task id

subtask_id

subtask id

fields

fields

description

transport_time

initialize sending a task subtasks and send subtask to thr worker execution

tag name	description
service	always “luna-tasks-worker”
task_id	task id
subtask_id	subtask id

fields	description
transport_time	initialize sending a task subtasks and send subtask to thr worker execution

It can be to add additional tags or fields.

Database¶

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

Classes¶

class luna_tasks.monitoring.points.SubtaskErrorPoint(eventTime, subtaskId, taskId, taskType, errorCode, additionalTags=None, additionalFields=None)[source]¶

Point for sub task error monitoring.

errorCode¶

error code

Type: int

additionalTags¶

additional tags

Type: dict

additionalFields¶

additional fields

Type: dict

property fields: dict¶

Get point fields

Returns: dict with additional fields
Return type: dict

series: str = 'subtask_errors'¶: series

property tags: dict¶

Get point tags

Returns: dict with service as keys + additionalTags
Return type: dict

class luna_tasks.monitoring.points.SubtaskExecutionPoint(eventTime, subtaskId, taskId, taskType, additionalTags=None, additionalFields=None)[source]¶

Point for monitoring subtask execution

additionalTags¶

additional tags for point

Type: dict

additionalFields¶

additional fields for point

Type: dict

property fields: dict¶

Get point fields

Returns: dict with additional fields
Return type: dict

series: str = 'subtask_execution'¶: series

property tags: dict¶

Get point tags

Returns: dict with service as keys + additionalTags
Return type: dict

class luna_tasks.monitoring.points.SubtaskFinalPoint(eventTime, subTaskId, taskId, taskType, executionTime, status, additionalTags=None, additionalFields=None)[source]¶

Point for monitoring subtask ending.

additionalTags¶

additional tags for point

Type: dict

additionalFields¶

additional fields for point

Type: dict

executionTime¶

subtask execution time

Type: float

status¶

subtask status

Type: int

property fields: dict¶

Get point fields

Returns: dict with additional fields
Return type: dict

series: str = 'subtask_final'¶: series

property tags: dict¶

Get point tags

Returns: dict with service as keys + additionalTags
Return type: dict

class luna_tasks.monitoring.points.SubtaskMonitoringBasePoint(eventTime, subtaskId, taskId, taskType)[source]¶

Base class for monitoring an subtask execution .. attribute:: subtaskId

subtask id

type

int

taskId¶

task id

Type: int

taskType¶

task type

Type: int

property fields: dict¶

Get point fields

Returns: dict with additional fields
Return type: dict

classmethod initialize(serviceName)[source]¶: Initialize request point for custom service. :param serviceName: service name

service: str¶: service name

property tags: dict¶

Get point tags

Returns: dict with service as keys + additionalTags
Return type: dict

class luna_tasks.monitoring.points.WorkerQueuePoint(eventTime, subtaskId, taskId, taskType, transportTime)[source]¶

Point for a worker queue monitoring .. attribute:: transportTime

time between receiving task of a worker and start execution

type

float

property fields: dict¶

Get point fields

Returns: dict with additional fields
Return type: dict

series: str = 'worker_queue'¶: series

property tags: dict¶

Get point tags

Returns: dict with service as keys + additionalTags
Return type: dict

class luna_tasks.monitoring.points.WorkerRequestPoint(eventTime, subtaskId, taskId, transportTime)[source]¶

Point for monitoring queue of sending subtasks to workers.

taskId¶

task id

Type: int

subtaskId¶

subtask id

Type: int

transportTime¶

initialize sending a task subtasks and send subtask to thr worker execution

Type: float

property fields: dict¶

Get point fields

Returns: dict with additional fields
Return type: dict

classmethod initialize(serviceName)[source]¶: Initialize request point for custom service. :param serviceName: service name

series: str = 'worker_requests'¶: series

service: str¶: service name

property tags: dict¶

Get point tags

Returns: dict with service as keys + additionalTags
Return type: dict

Module contains points for monitoring’s.

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

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