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from datetime import datetime |
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import logging |
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from typing import Iterator |
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from prometheus_client.core import InfoMetricFamily, StateSetMetricFamily, GaugeMetricFamily, Metric |
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from requests import get |
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from requests.exceptions import ConnectionError, Timeout, HTTPError, RequestException |
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from .helpers import TimestampGaugeMetricFamily, TimestampCounterMetricFamily, url_join |
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logger = logging.getLogger(__name__) |
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def datestring_to_timestamp(date_str: str) -> float: |
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return datetime.strptime(date_str, "%Y-%m-%dT%H:%M:%S.%f%z").timestamp() |
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def _info(info: dict) -> InfoMetricFamily: |
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info = {k: str(v) for k, v in info.items()} |
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return InfoMetricFamily("kibana_version", "Kibana Version", value=info) |
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def _status(status: dict) -> (StateSetMetricFamily, GaugeMetricFamily): |
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status_dict = {state: state == status["overall"]["state"] for state in ["red", "yellow", "green"]} |
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since = datestring_to_timestamp(status["overall"]["since"]) |
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status = StateSetMetricFamily("kibana_status", "Kibana Status", value=status_dict) |
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since = GaugeMetricFamily("kibana_status_since", "Last change of status, in seconds since epoch", value=since) |
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return status, since |
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class Metrics(object): |
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def __init__(self, metrics_dict: dict): |
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self._timestamp = datestring_to_timestamp(metrics_dict["last_updated"]) |
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self._metrics_dict = metrics_dict |
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def __iter__(self): |
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yield from self._response_times() |
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yield from self._requests() |
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yield from self._process() |
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yield from self._os() |
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def _os(self) -> Iterator[Metric]: |
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os_dict = self._metrics_dict["os"] |
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yield from ( |
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TimestampGaugeMetricFamily( |
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"kibana_os_load_%s" % key, "Kibana OS load %s" % key, value=value, timestamp=self._timestamp |
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) |
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for key, value in os_dict["load"].items() |
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) |
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yield from ( |
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TimestampGaugeMetricFamily( |
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"kibana_os_memory_%s_bytes" % key.split("_")[0], |
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"Kibana %s OS memory" % key.split("_")[0], |
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value=value, |
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timestamp=self._timestamp, |
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) |
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for key, value in os_dict["memory"].items() |
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) |
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yield TimestampCounterMetricFamily( |
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"kibana_os_uptime_seconds", |
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"Kibana OS uptime in seconds", |
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value=os_dict["uptime_in_millis"] / 1000, |
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timestamp=self._timestamp, |
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) |
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def _response_times(self) -> Iterator[Metric]: |
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rt_dict = self._metrics_dict["response_times"] |
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yield TimestampGaugeMetricFamily( |
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"kibana_response_time_max_seconds", |
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"Kibana maximum response time in seconds", |
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value=rt_dict["max_in_millis"] / 1000, |
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timestamp=self._timestamp, |
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) |
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# Kibana statistics lib can sometimes return NaN for this value. |
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# If that is the case, this is set to 0 in order to avoid gaps in the time series. |
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# Reference: https://github.com/elastic/kibana/blob/6.7/src/server/status/lib/metrics.js#L73 |
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# NaN is converted to `undefined` which then has the whole field removed from the response JSON |
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yield TimestampGaugeMetricFamily( |
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"kibana_response_time_avg_seconds", |
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"Kibana average response time in seconds", |
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value=rt_dict.setdefault("avg_in_millis", 0) / 1000, |
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timestamp=self._timestamp, |
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) |
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def _requests(self) -> Iterator[Metric]: |
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req_dict = self._metrics_dict["requests"] |
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yield TimestampGaugeMetricFamily( |
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"kibana_requests_total", "Total requests serviced", value=req_dict["total"], timestamp=self._timestamp |
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) |
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yield TimestampGaugeMetricFamily( |
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"kibana_requests_disconnects", |
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"Total requests disconnected", |
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value=req_dict["disconnects"], |
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timestamp=self._timestamp, |
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) |
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per_status = TimestampGaugeMetricFamily( |
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"kibana_requests", "Total requests by status code", labels=["status_code"], timestamp=self._timestamp |
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) |
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for code, count in req_dict["status_codes"].items(): |
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per_status.add_metric(labels=[code], value=count) |
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yield per_status |
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def _process(self) -> Iterator[Metric]: |
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process_dict = self._metrics_dict["process"] |
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yield TimestampGaugeMetricFamily( |
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"kibana_process_memory_heap_total_bytes", |
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"Total heap size in bytes", |
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value=process_dict["memory"]["heap"]["total_in_bytes"], |
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timestamp=self._timestamp, |
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) |
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yield TimestampGaugeMetricFamily( |
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"kibana_process_memory_heap_used_bytes", |
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"Used heap size in bytes", |
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value=process_dict["memory"]["heap"]["used_in_bytes"], |
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timestamp=self._timestamp, |
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) |
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yield TimestampGaugeMetricFamily( |
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"kibana_process_memory_heap_size_limit_bytes", |
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"Heap size limit in bytes", |
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value=process_dict["memory"]["heap"]["size_limit"], |
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timestamp=self._timestamp, |
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) |
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yield TimestampGaugeMetricFamily( |
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"kibana_process_memory_resident_set_size_bytes", |
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"Memory resident set size", |
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value=process_dict["memory"]["resident_set_size_in_bytes"], |
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timestamp=self._timestamp, |
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) |
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yield TimestampCounterMetricFamily( |
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"kibana_process_uptime_seconds", |
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"Kibana process uptime in seconds", |
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value=process_dict["uptime_in_millis"] / 1000, |
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timestamp=self._timestamp, |
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) |
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class KibanaCollector(object): |
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def __init__( |
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self, |
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host: str, |
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path: str = "/api/status", |
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kibana_login: str = None, |
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kibana_password: str = None, |
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ignore_ssl: bool = False, |
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): |
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self._url = url_join(host, path) |
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self._kibana_login = kibana_login |
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self._kibana_password = kibana_password |
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self._ignore_ssl = ignore_ssl |
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def _fetch_stats(self) -> dict: |
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if self._kibana_login: |
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auth = (self._kibana_login, self._kibana_password) |
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else: |
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auth = None |
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if self._ignore_ssl == True: |
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r = get(self._url, auth=auth, verify=not self._ignore_ssl) |
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else: |
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r = get(self._url, auth=auth) |
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r.raise_for_status() |
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return r.json() |
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def collect(self): |
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kibana_up = GaugeMetricFamily("kibana_node_reachable", "Kibana node was reached", value=0) |
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try: |
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stats = self._fetch_stats() |
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except ConnectionError as e: |
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logger.warning("Got a connection error while trying to contact Kibana:\n%s" % e) |
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except Timeout as e: |
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logger.warning("Got a timeout while trying to contact Kibana:\n%s" % e) |
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except HTTPError as e: |
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logger.warning("Got a HTTP error %s while trying to contact Kibana:\n%s" % (e.response.status_code, e)) |
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except RequestException as e: |
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logger.warning("Got a RequestException while trying to contact Kibana:\n%s" % e) |
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else: |
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kibana_up = GaugeMetricFamily("kibana_node_reachable", "Kibana node was reached", value=1) |
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yield _info(stats["version"]) |
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yield from _status(stats["status"]) |
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yield from Metrics(stats["metrics"]) |
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finally: |
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yield kibana_up |
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vladvasiliu /
kibana-prometheus-exporter-py
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