222 lines
13 KiB
Python
222 lines
13 KiB
Python
import decimal
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import logging
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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
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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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logging.error(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"]), error_status=None, errors_only=False,
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issue=None, project_id=a["projectId"], user_id=None, favorite_only=False)
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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 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 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 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,
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"startDate": TimeUTC.now() - a["options"]["currentPeriod"] * 60 * 1000,
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"timestamp_sub2": TimeUTC.now() \
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- (a["options"]["currentPeriod"] + a["options"]["currentPeriod"]) \
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* 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() \
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- (a["options"]["currentPeriod"] + a["options"]["currentPeriod"]) * 60 * 1000
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sub1 = f"SELECT (({sub1})/NULLIF(({sub2}),0)-1)*100 AS value"
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q += f" FROM ({sub1}) AS stat"
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return q, params
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def process():
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notifications = []
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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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logging.info(f"Querying alertId:{alert['alertId']} name: {alert['name']}")
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query, params = Build(alert)
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query = cur.mogrify(query, params)
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logging.debug(alert)
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logging.debug(query)
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try:
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cur.execute(query)
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result = cur.fetchone()
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if result["valid"]:
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logging.info("Valid alert, notifying users")
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notifications.append({
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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']} = {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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"options": {"source": "ALERT", "sourceId": alert["alertId"],
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"sourceMeta": alert["detectionMethod"],
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"message": alert["options"]["message"], "projectId": alert["projectId"],
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"data": {"title": alert["name"],
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"limitValue": alert["query"]["right"],
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"actualValue": float(result["value"]) \
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if isinstance(result["value"], decimal.Decimal) \
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else result["value"],
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"operator": alert["query"]["operator"],
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"trigger": alert["query"]["left"],
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"alertId": alert["alertId"],
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"detectionMethod": alert["detectionMethod"],
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"currentPeriod": alert["options"]["currentPeriod"],
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"previousPeriod": alert["options"]["previousPeriod"],
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"createdAt": TimeUTC.now()}},
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})
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except Exception as e:
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logging.error(f"!!!Error while running alert query for alertId:{alert['alertId']}")
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logging.error(str(e))
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logging.error(query)
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if len(notifications) > 0:
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cur.execute(
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cur.mogrify(f"""UPDATE public.Alerts
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SET options = options||'{{"lastNotification":{TimeUTC.now()}}}'::jsonb
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WHERE alert_id IN %(ids)s;""", {"ids": tuple([n["alertId"] for n in notifications])}))
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if len(notifications) > 0:
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alerts.process_notifications(notifications)
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