feat(alerts): refactored alerts
feat(alerts): fixed decimal precision feat(alerts): configurable cron-interval
This commit is contained in:
Taha Yassine Kraiem
parent
bb2875b9ee
commit
03ea03aba2
7 changed files with 66 additions and 295 deletions
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@ -1,6 +1,7 @@
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import logging
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from apscheduler.schedulers.asyncio import AsyncIOScheduler
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from decouple import config
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from fastapi import FastAPI
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from chalicelib.core import alerts_processor
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@ -16,7 +17,8 @@ async def root():
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app.schedule = AsyncIOScheduler()
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app.schedule.start()
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app.schedule.add_job(id="alerts_processor", **{"func": alerts_processor.process, "trigger": "interval", "minutes": 5,
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app.schedule.add_job(id="alerts_processor", **{"func": alerts_processor.process, "trigger": "interval",
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"minutes": config("ALERTS_INTERVAL", cast=int, default=5),
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"misfire_grace_time": 20})
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for job in app.schedule.get_jobs():
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@ -15,7 +15,7 @@ function make_submodule() {
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mkdir -p ./alerts/chalicelib/
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cp -R ./chalicelib/__init__.py ./alerts/chalicelib/
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mkdir -p ./alerts/chalicelib/core/
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cp -R ./chalicelib/core/{__init__,alerts_processor,sessions,events,issues,sessions_metas,metadata,projects,users,authorizers,tenants,assist,events_ios,sessions_mobs,errors,sourcemaps,sourcemaps_parser,resources,performance_event,alerts,notifications,slack,collaboration_slack,webhook}.py ./alerts/chalicelib/core/
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cp -R ./chalicelib/core/{__init__,alerts_processor,alerts_listener,sessions,events,issues,sessions_metas,metadata,projects,users,authorizers,tenants,assist,events_ios,sessions_mobs,errors,sourcemaps,sourcemaps_parser,resources,performance_event,alerts,notifications,slack,collaboration_slack,webhook}.py ./alerts/chalicelib/core/
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mkdir -p ./alerts/chalicelib/utils/
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cp -R ./chalicelib/utils/{__init__,TimeUTC,pg_client,helper,event_filter_definition,dev,email_helper,email_handler,smtp,s3,metrics_helper}.py ./alerts/chalicelib/utils/
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# -- end of generated part
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@ -27,7 +27,7 @@ function make_submodule() {
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mkdir -p ./alerts/chalicelib/
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cp -R ./chalicelib/__init__.py ./alerts/chalicelib/
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mkdir -p ./alerts/chalicelib/core/
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cp -R ./chalicelib/core/{__init__,alerts_processor,sessions,events,issues,sessions_metas,metadata,projects,users,authorizers,tenants,roles,assist,events_ios,sessions_mobs,errors,dashboard,sourcemaps,sourcemaps_parser,resources,performance_event,alerts,notifications,slack,collaboration_slack,webhook}.py ./alerts/chalicelib/core/
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cp -R ./chalicelib/core/{__init__,alerts_processor,alerts_listener,sessions,events,issues,sessions_metas,metadata,projects,users,authorizers,tenants,roles,assist,events_ios,sessions_mobs,errors,dashboard,sourcemaps,sourcemaps_parser,resources,performance_event,alerts,notifications,slack,collaboration_slack,webhook}.py ./alerts/chalicelib/core/
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mkdir -p ./alerts/chalicelib/utils/
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cp -R ./chalicelib/utils/{__init__,TimeUTC,pg_client,helper,event_filter_definition,dev,SAML2_helper,email_helper,email_handler,smtp,s3,args_transformer,ch_client,metrics_helper}.py ./alerts/chalicelib/utils/
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# -- end of generated part
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27
api/chalicelib/core/alerts_listener.py
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27
api/chalicelib/core/alerts_listener.py
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@ -0,0 +1,27 @@
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from chalicelib.utils import pg_client, helper
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def get_all_alerts():
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with pg_client.PostgresClient(long_query=True) as cur:
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query = """SELECT -1 AS tenant_id,
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alert_id,
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project_id,
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detection_method,
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query,
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options,
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(EXTRACT(EPOCH FROM alerts.created_at) * 1000)::BIGINT AS created_at,
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alerts.name,
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alerts.series_id,
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filter
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FROM public.alerts
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LEFT JOIN metric_series USING (series_id)
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INNER JOIN projects USING (project_id)
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WHERE alerts.deleted_at ISNULL
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AND alerts.active
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AND projects.active
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AND projects.deleted_at ISNULL
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AND (alerts.series_id ISNULL OR metric_series.deleted_at ISNULL)
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ORDER BY alerts.created_at;"""
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cur.execute(query=query)
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all_alerts = helper.list_to_camel_case(cur.fetchall())
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return all_alerts
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@ -1,6 +1,7 @@
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import schemas
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from chalicelib.core import alerts_listener
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from chalicelib.core import sessions, alerts
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from chalicelib.utils import pg_client, helper
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from chalicelib.utils import pg_client
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from chalicelib.utils.TimeUTC import TimeUTC
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LeftToDb = {
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@ -195,29 +196,7 @@ def Build(a):
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def process():
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notifications = []
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with pg_client.PostgresClient(long_query=True) as cur:
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query = """SELECT -1 AS tenant_id,
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alert_id,
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project_id,
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detection_method,
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query,
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options,
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(EXTRACT(EPOCH FROM alerts.created_at) * 1000)::BIGINT AS created_at,
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alerts.name,
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alerts.series_id,
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filter
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FROM public.alerts
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LEFT JOIN metric_series USING (series_id)
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INNER JOIN projects USING (project_id)
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WHERE alerts.deleted_at ISNULL
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AND alerts.active
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AND projects.active
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AND projects.deleted_at ISNULL
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AND (alerts.series_id ISNULL OR metric_series.deleted_at ISNULL)
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ORDER BY alerts.created_at;"""
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cur.execute(query=query)
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all_alerts = helper.list_to_camel_case(cur.fetchall())
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all_alerts = alerts_listener.get_all_alerts()
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with pg_client.PostgresClient() as cur:
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for alert in all_alerts:
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if can_check(alert):
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@ -235,7 +214,7 @@ def process():
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"alertId": alert["alertId"],
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"tenantId": alert["tenantId"],
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"title": alert["name"],
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"description": f"has been triggered, {alert['query']['left']} = {result['value']} ({alert['query']['operator']} {alert['query']['right']}).",
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"description": f"has been triggered, {alert['query']['left']} = {round(result['value'], 2)} ({alert['query']['operator']} {alert['query']['right']}).",
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"buttonText": "Check metrics for more details",
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"buttonUrl": f"/{alert['projectId']}/metrics",
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"imageUrl": None,
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5
ee/api/.gitignore
vendored
5
ee/api/.gitignore
vendored
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@ -178,6 +178,7 @@ README/*
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Pipfile
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/chalicelib/core/alerts.py
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/chalicelib/core/alerts_processor.py
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/chalicelib/core/announcements.py
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/chalicelib/blueprints/bp_app_api.py
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/chalicelib/blueprints/bp_core.py
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@ -261,5 +262,5 @@ Pipfile
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/chalicelib/core/custom_metrics.py
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/chalicelib/core/performance_event.py
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/chalicelib/core/saved_search.py
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/requirements_alerts.txt
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/app_alerts.py
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/app_alerts.py
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/build_alerts.sh
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27
ee/api/chalicelib/core/alerts_listener.py
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27
ee/api/chalicelib/core/alerts_listener.py
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@ -0,0 +1,27 @@
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from chalicelib.utils import pg_client, helper
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def get_all_alerts():
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with pg_client.PostgresClient(long_query=True) as cur:
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query = """SELECT tenant_id,
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alert_id,
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project_id,
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detection_method,
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query,
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options,
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(EXTRACT(EPOCH FROM alerts.created_at) * 1000)::BIGINT AS created_at,
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alerts.name,
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alerts.series_id,
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filter
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FROM public.alerts
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LEFT JOIN metric_series USING (series_id)
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INNER JOIN projects USING (project_id)
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WHERE alerts.deleted_at ISNULL
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AND alerts.active
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AND projects.active
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AND projects.deleted_at ISNULL
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AND (alerts.series_id ISNULL OR metric_series.deleted_at ISNULL)
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ORDER BY alerts.created_at;"""
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cur.execute(query=query)
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all_alerts = helper.list_to_camel_case(cur.fetchall())
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return all_alerts
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@ -1,265 +0,0 @@
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import schemas
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from chalicelib.core import sessions, alerts
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from chalicelib.utils import pg_client, helper
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from chalicelib.utils.TimeUTC import TimeUTC
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LeftToDb = {
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schemas.AlertColumn.performance__dom_content_loaded__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)",
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"formula": "COALESCE(AVG(NULLIF(dom_content_loaded_time ,0)),0)"},
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schemas.AlertColumn.performance__first_meaningful_paint__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)",
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"formula": "COALESCE(AVG(NULLIF(first_contentful_paint_time,0)),0)"},
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schemas.AlertColumn.performance__page_load_time__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)", "formula": "AVG(NULLIF(load_time ,0))"},
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schemas.AlertColumn.performance__dom_build_time__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(dom_building_time,0))"},
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schemas.AlertColumn.performance__speed_index__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)", "formula": "AVG(NULLIF(speed_index,0))"},
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schemas.AlertColumn.performance__page_response_time__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(response_time,0))"},
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schemas.AlertColumn.performance__ttfb__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(first_paint_time,0))"},
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schemas.AlertColumn.performance__time_to_render__average: {
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"table": "events.pages INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(visually_complete,0))"},
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schemas.AlertColumn.performance__image_load_time__average: {
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"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(resources.duration,0))", "condition": "type='img'"},
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schemas.AlertColumn.performance__request_load_time__average: {
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"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(resources.duration,0))", "condition": "type='fetch'"},
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schemas.AlertColumn.resources__load_time__average: {
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"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "AVG(NULLIF(resources.duration,0))"},
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schemas.AlertColumn.resources__missing__count: {
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"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "COUNT(DISTINCT url_hostpath)", "condition": "success= FALSE"},
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schemas.AlertColumn.errors__4xx_5xx__count: {
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"table": "events.resources INNER JOIN public.sessions USING(session_id)", "formula": "COUNT(session_id)",
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"condition": "status/100!=2"},
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schemas.AlertColumn.errors__4xx__count: {"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "COUNT(session_id)", "condition": "status/100=4"},
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schemas.AlertColumn.errors__5xx__count: {"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "COUNT(session_id)", "condition": "status/100=5"},
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schemas.AlertColumn.errors__javascript__impacted_sessions__count: {
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"table": "events.resources INNER JOIN public.sessions USING(session_id)",
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"formula": "COUNT(DISTINCT session_id)", "condition": "success= FALSE AND type='script'"},
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schemas.AlertColumn.performance__crashes__count: {
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"table": "(SELECT *, start_ts AS timestamp FROM public.sessions WHERE errors_count > 0) AS sessions",
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"formula": "COUNT(DISTINCT session_id)", "condition": "errors_count > 0"},
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schemas.AlertColumn.errors__javascript__count: {
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"table": "events.errors INNER JOIN public.errors AS m_errors USING (error_id)",
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"formula": "COUNT(DISTINCT session_id)", "condition": "source='js_exception'", "joinSessions": False},
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schemas.AlertColumn.errors__backend__count: {
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"table": "events.errors INNER JOIN public.errors AS m_errors USING (error_id)",
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"formula": "COUNT(DISTINCT session_id)", "condition": "source!='js_exception'", "joinSessions": False},
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}
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# This is the frequency of execution for each threshold
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TimeInterval = {
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15: 3,
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30: 5,
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60: 10,
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120: 20,
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240: 30,
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1440: 60,
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}
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def can_check(a) -> bool:
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now = TimeUTC.now()
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repetitionBase = a["options"]["currentPeriod"] \
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if a["detectionMethod"] == schemas.AlertDetectionMethod.change \
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and a["options"]["currentPeriod"] > a["options"]["previousPeriod"] \
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else a["options"]["previousPeriod"]
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if TimeInterval.get(repetitionBase) is None:
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print(f"repetitionBase: {repetitionBase} NOT FOUND")
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return False
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return (a["options"]["renotifyInterval"] <= 0 or
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a["options"].get("lastNotification") is None or
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a["options"]["lastNotification"] <= 0 or
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((now - a["options"]["lastNotification"]) > a["options"]["renotifyInterval"] * 60 * 1000)) \
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and ((now - a["createdAt"]) % (TimeInterval[repetitionBase] * 60 * 1000)) < 60 * 1000
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def Build(a):
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params = {"project_id": a["projectId"]}
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full_args = {}
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j_s = True
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if a["seriesId"] is not None:
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a["filter"]["sort"] = "session_id"
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a["filter"]["order"] = "DESC"
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a["filter"]["startDate"] = -1
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a["filter"]["endDate"] = TimeUTC.now()
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full_args, query_part, sort = sessions.search_query_parts(
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data=schemas.SessionsSearchPayloadSchema.parse_obj(a["filter"]),
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error_status=None, errors_only=False,
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favorite_only=False, issue=None, project_id=a["projectId"],
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user_id=None)
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subQ = f"""SELECT COUNT(session_id) AS value
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{query_part}"""
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else:
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colDef = LeftToDb[a["query"]["left"]]
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subQ = f"""SELECT {colDef["formula"]} AS value
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FROM {colDef["table"]}
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WHERE project_id = %(project_id)s
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{"AND " + colDef["condition"] if colDef.get("condition") is not None else ""}"""
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j_s = colDef.get("joinSessions", True)
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q = f"""SELECT coalesce(value,0) AS value, coalesce(value,0) {a["query"]["operator"]} {a["query"]["right"]} AS valid"""
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# if len(colDef.group) > 0 {
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# subQ = subQ.Column(colDef.group + " AS group_value")
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# subQ = subQ.GroupBy(colDef.group)
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# q = q.Column("group_value")
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# }
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if a["detectionMethod"] == schemas.AlertDetectionMethod.threshold:
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if a["seriesId"] is not None:
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q += f""" FROM ({subQ}) AS stat"""
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else:
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q += f""" FROM ({subQ} AND timestamp>=%(startDate)s
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{"AND sessions.start_ts >= %(startDate)s" if j_s else ""}) AS stat"""
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params = {**params, **full_args, "startDate": TimeUTC.now() - a["options"]["currentPeriod"] * 60 * 1000}
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else:
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if a["options"]["change"] == schemas.AlertDetectionChangeType.change:
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# if len(colDef.group) > 0:
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# subq1 := subQ.Where(sq.Expr("timestamp>=$2 ", time.Now().Unix()-a.Options.CurrentPeriod * 60))
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# sub2, args2, _ := subQ.Where(
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# sq.And{
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# sq.Expr("timestamp<$3 ", time.Now().Unix()-a.Options.CurrentPeriod * 60),
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# sq.Expr("timestamp>=$4 ", time.Now().Unix()-2 * a.Options.CurrentPeriod * 60),
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# }).ToSql()
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# sub1 := sq.Select("group_value", "(stat1.value-stat2.value) AS value").FromSelect(subq1, "stat1").JoinClause("INNER JOIN ("+sub2+") AS stat2 USING(group_value)", args2...)
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# q = q.FromSelect(sub1, "stat")
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# else:
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if a["seriesId"] is not None:
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sub2 = subQ.replace("%(startDate)s", "%(timestamp_sub2)s").replace("%(endDate)s", "%(startDate)s")
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sub1 = f"SELECT (({subQ})-({sub2})) AS value"
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q += f" FROM ( {sub1} ) AS stat"
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params = {**params, **full_args,
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"startDate": TimeUTC.now() - a["options"]["currentPeriod"] * 60 * 1000,
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"timestamp_sub2": TimeUTC.now() - 2 * a["options"]["currentPeriod"] * 60 * 1000}
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else:
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sub1 = f"""{subQ} AND timestamp>=%(startDate)s
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{"AND sessions.start_ts >= %(startDate)s" if j_s else ""}"""
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params["startDate"] = TimeUTC.now() - a["options"]["currentPeriod"] * 60 * 1000
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sub2 = f"""{subQ} AND timestamp<%(startDate)s
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AND timestamp>=%(timestamp_sub2)s
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{"AND sessions.start_ts < %(startDate)s AND sessions.start_ts >= %(timestamp_sub2)s" if j_s else ""}"""
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params["timestamp_sub2"] = TimeUTC.now() - 2 * a["options"]["currentPeriod"] * 60 * 1000
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sub1 = f"SELECT (( {sub1} )-( {sub2} )) AS value"
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q += f" FROM ( {sub1} ) AS stat"
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else:
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# if len(colDef.group) >0 {
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# subq1 := subQ.Where(sq.Expr("timestamp>=$2 ", time.Now().Unix()-a.Options.CurrentPeriod * 60))
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# sub2, args2, _ := subQ.Where(
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# sq.And{
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# sq.Expr("timestamp<$3 ", time.Now().Unix()-a.Options.CurrentPeriod * 60),
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# sq.Expr("timestamp>=$4 ", time.Now().Unix()-a.Options.PreviousPeriod * 60-a.Options.CurrentPeriod * 60),
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# }).ToSql()
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# sub1 := sq.Select("group_value", "(stat1.value/stat2.value-1)*100 AS value").FromSelect(subq1, "stat1").JoinClause("INNER JOIN ("+sub2+") AS stat2 USING(group_value)", args2...)
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# q = q.FromSelect(sub1, "stat")
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# } else {
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if a["seriesId"] is not None:
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sub2 = subQ.replace("%(startDate)s", "%(timestamp_sub2)s").replace("%(endDate)s", "%(startDate)s")
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sub1 = f"SELECT (({subQ})/NULLIF(({sub2}),0)-1)*100 AS value"
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q += f" FROM ({sub1}) AS stat"
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params = {**params, **full_args,
|
||||
"startDate": TimeUTC.now() - a["options"]["currentPeriod"] * 60 * 1000,
|
||||
"timestamp_sub2": TimeUTC.now() \
|
||||
- (a["options"]["currentPeriod"] + a["options"]["currentPeriod"]) \
|
||||
* 60 * 1000}
|
||||
else:
|
||||
sub1 = f"""{subQ} AND timestamp>=%(startDate)s
|
||||
{"AND sessions.start_ts >= %(startDate)s" if j_s else ""}"""
|
||||
params["startDate"] = TimeUTC.now() - a["options"]["currentPeriod"] * 60 * 1000
|
||||
sub2 = f"""{subQ} AND timestamp<%(startDate)s
|
||||
AND timestamp>=%(timestamp_sub2)s
|
||||
{"AND sessions.start_ts < %(startDate)s AND sessions.start_ts >= %(timestamp_sub2)s" if j_s else ""}"""
|
||||
params["timestamp_sub2"] = TimeUTC.now() \
|
||||
- (a["options"]["currentPeriod"] + a["options"]["currentPeriod"]) * 60 * 1000
|
||||
sub1 = f"SELECT (({sub1})/NULLIF(({sub2}),0)-1)*100 AS value"
|
||||
q += f" FROM ({sub1}) AS stat"
|
||||
|
||||
return q, params
|
||||
|
||||
|
||||
def process():
|
||||
notifications = []
|
||||
with pg_client.PostgresClient(long_query=True) as cur:
|
||||
query = """SELECT tenant_id,
|
||||
alert_id,
|
||||
project_id,
|
||||
detection_method,
|
||||
query,
|
||||
options,
|
||||
(EXTRACT(EPOCH FROM alerts.created_at) * 1000)::BIGINT AS created_at,
|
||||
alerts.name,
|
||||
alerts.series_id,
|
||||
filter
|
||||
FROM public.alerts
|
||||
LEFT JOIN metric_series USING (series_id)
|
||||
INNER JOIN projects USING (project_id)
|
||||
WHERE alerts.deleted_at ISNULL
|
||||
AND alerts.active
|
||||
AND projects.active
|
||||
AND projects.deleted_at ISNULL
|
||||
AND (alerts.series_id ISNULL OR metric_series.deleted_at ISNULL)
|
||||
ORDER BY alerts.created_at;"""
|
||||
cur.execute(query=query)
|
||||
all_alerts = helper.list_to_camel_case(cur.fetchall())
|
||||
|
||||
with pg_client.PostgresClient() as cur:
|
||||
for alert in all_alerts:
|
||||
if can_check(alert):
|
||||
print(f"Querying alertId:{alert['alertId']} name: {alert['name']}")
|
||||
query, params = Build(alert)
|
||||
query = cur.mogrify(query, params)
|
||||
# print(alert)
|
||||
# print(query)
|
||||
try:
|
||||
cur.execute(query)
|
||||
result = cur.fetchone()
|
||||
if result["valid"]:
|
||||
print("Valid alert, notifying users")
|
||||
notifications.append({
|
||||
"alertId": alert["alertId"],
|
||||
"tenantId": alert["tenantId"],
|
||||
"title": alert["name"],
|
||||
"description": f"has been triggered, {alert['query']['left']} = {result['value']} ({alert['query']['operator']} {alert['query']['right']}).",
|
||||
"buttonText": "Check metrics for more details",
|
||||
"buttonUrl": f"/{alert['projectId']}/metrics",
|
||||
"imageUrl": None,
|
||||
"options": {"source": "ALERT", "sourceId": alert["alertId"],
|
||||
"sourceMeta": alert["detectionMethod"],
|
||||
"message": alert["options"]["message"], "projectId": alert["projectId"],
|
||||
"data": {"title": alert["name"],
|
||||
"limitValue": alert["query"]["right"], "actualValue": result["value"],
|
||||
"operator": alert["query"]["operator"],
|
||||
"trigger": alert["query"]["left"],
|
||||
"alertId": alert["alertId"],
|
||||
"detectionMethod": alert["detectionMethod"],
|
||||
"currentPeriod": alert["options"]["currentPeriod"],
|
||||
"previousPeriod": alert["options"]["previousPeriod"],
|
||||
"createdAt": TimeUTC.now()}},
|
||||
})
|
||||
except Exception as e:
|
||||
print(f"!!!Error while running alert query for alertId:{alert['alertId']}")
|
||||
print(str(e))
|
||||
print(query)
|
||||
if len(notifications) > 0:
|
||||
cur.execute(
|
||||
cur.mogrify(f"""UPDATE public.Alerts
|
||||
SET options = options||'{{"lastNotification":{TimeUTC.now()}}}'::jsonb
|
||||
WHERE alert_id IN %(ids)s;""", {"ids": tuple([n["alertId"] for n in notifications])}))
|
||||
if len(notifications) > 0:
|
||||
alerts.process_notifications(notifications)
|
||||
Loading…
Add table
Reference in a new issue