-
-
Notifications
You must be signed in to change notification settings - Fork 82
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
10 changed files
with
802 additions
and
3 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,258 @@ | ||
| from datetime import timedelta | ||
| import json | ||
| import logging | ||
| import time | ||
| from django.utils import timezone | ||
| import snowflake.connector | ||
| from snowflake.connector import DictCursor | ||
| from zentral.core.events import event_from_event_d, event_types | ||
| from zentral.core.exceptions import ImproperlyConfigured | ||
| from zentral.core.stores.backends.base import BaseEventStore | ||
|
|
||
|
|
||
| logger = logging.getLogger("zentral.core.stores.backends.snowflake") | ||
|
|
||
|
|
||
| class EventStore(BaseEventStore): | ||
| read_only = True | ||
| last_machine_heartbeats = True | ||
| machine_events = True | ||
| object_events = True | ||
| probe_events = True | ||
|
|
||
| def __init__(self, config_d): | ||
| super().__init__(config_d) | ||
| self._connect_kwargs = {} | ||
| # connection parameters | ||
| missing_params = [] | ||
| for k in ("account", "user", "password", "database", "schema", "role", "warehouse"): | ||
| v = config_d.get(k) | ||
| if not v: | ||
| if k == "schema": | ||
| v = "PUBLIC" | ||
| else: | ||
| missing_params.append(k) | ||
| continue | ||
| self._connect_kwargs[k] = v | ||
| if missing_params: | ||
| raise ImproperlyConfigured("Missing configuration parameters: {}".format(", ".join(missing_params))) | ||
| # connection | ||
| self._connection = None | ||
| self._last_active_at = time.monotonic() | ||
| self._session_timeout = config_d.get( | ||
| "session_timeout", | ||
| 4*3600-10*60 # 4 hours (Snowflake default) - 10 min | ||
| ) | ||
|
|
||
| def _get_connection(self): | ||
| if self._connection is None or (time.monotonic() - self._last_active_at) > self._session_timeout: | ||
| account = self._connect_kwargs["account"] | ||
| if self._connection is None: | ||
| action = "Connect" | ||
| else: | ||
| logger.info("Close current connection to account %s", account) | ||
| self._connection.close() | ||
| action = "Re-connect" | ||
| logger.info("%s to account %s", action, account) | ||
| self._connection = snowflake.connector.connect(**self._connect_kwargs) | ||
| self._last_active_at = time.monotonic() | ||
| return self._connection | ||
|
|
||
| def _deserialize_event(self, result): | ||
| metadata = json.loads(result['METADATA']) | ||
| metadata['type'] = result['TYPE'] | ||
| metadata['created_at'] = result['CREATED_AT'] | ||
| metadata['tags'] = json.loads(result['TAGS']) | ||
| metadata['objects'] = {} | ||
| for objref in json.loads(result['OBJECTS']): | ||
| k, v = objref.split(":", 1) | ||
| metadata['objects'].setdefault(k, []).append(v) | ||
| metadata['serial_number'] = result['SERIAL_NUMBER'] | ||
| event_d = json.loads(result.pop("PAYLOAD")) | ||
| event_d['_zentral'] = metadata | ||
| return event_from_event_d(event_d) | ||
|
|
||
| def _prepare_query(self, query, args=None, **kwargs): | ||
| if args is None: | ||
| args = [] | ||
| first_filter = True | ||
| for attr, filter_tmpl in (("from_dt", "AND created_at >= %s"), | ||
| ("to_dt", "AND created_at <= %s"), | ||
| ("event_type", "AND type = %s"), | ||
| ("objref", "AND ARRAY_CONTAINS(%s::variant, objects)"), | ||
| ("probe", "AND ARRAY_CONTAINS(%s::variant, probes)"), | ||
| ("serial_number", "AND serial_number = %s"), | ||
| ("order_by", None), | ||
| ("limit", "LIMIT %s"), | ||
| ("offset", "OFFSET %s")): | ||
| val = kwargs.get(attr) | ||
| if val is not None: | ||
| if attr == "order_by": | ||
| query += f" ORDER BY {val}" | ||
| else: | ||
| if first_filter and filter_tmpl.startswith("AND "): | ||
| filter_tmpl = f"WHERE {filter_tmpl[4:]}" | ||
| query += f" {filter_tmpl}" | ||
| args.append(val) | ||
| first_filter = False | ||
| return query, args | ||
|
|
||
| def _fetch_aggregated_event_counts(self, **kwargs): | ||
| query, args = self._prepare_query("SELECT TYPE, COUNT(*) AS COUNT FROM ZENTRALEVENTS", **kwargs) | ||
| query += " GROUP BY type" | ||
| cursor = self._get_connection().cursor(DictCursor) | ||
| cursor.execute(query, args) | ||
| event_counts = { | ||
| r['TYPE']: r['COUNT'] | ||
| for r in cursor.fetchall() | ||
| } | ||
| cursor.close() | ||
| return event_counts | ||
|
|
||
| def _fetch_events(self, **kwargs): | ||
| kwargs["order_by"] = "CREATED_AT DESC" | ||
| offset = int(kwargs.pop("cursor", None) or 0) | ||
| if offset > 0: | ||
| kwargs["offset"] = offset | ||
| query, args = self._prepare_query("SELECT * FROM ZENTRALEVENTS", **kwargs) | ||
| cursor = self._get_connection().cursor(DictCursor) | ||
| cursor.execute(query, args) | ||
| events = [self._deserialize_event(t) for t in cursor.fetchall()] | ||
| cursor.close() | ||
| next_cursor = None | ||
| limit = kwargs.get("limit") | ||
| if limit and len(events) >= limit: | ||
| next_cursor = str(limit + kwargs.get("offset", 0)) | ||
| return events, next_cursor | ||
|
|
||
| # machine events | ||
|
|
||
| def fetch_machine_events(self, serial_number, from_dt, to_dt=None, event_type=None, limit=10, cursor=None): | ||
| return self._fetch_events( | ||
| serial_number=serial_number, | ||
| from_dt=from_dt, | ||
| to_dt=to_dt, | ||
| event_type=event_type, | ||
| limit=limit, | ||
| cursor=cursor | ||
| ) | ||
|
|
||
| def get_aggregated_machine_event_counts(self, serial_number, from_dt, to_dt=None): | ||
| return self._fetch_aggregated_event_counts( | ||
| serial_number=serial_number, | ||
| from_dt=from_dt, | ||
| to_dt=to_dt | ||
| ) | ||
|
|
||
| def get_last_machine_heartbeats(self, serial_number, from_dt): | ||
| heartbeats = {} | ||
| query = ( | ||
| "SELECT TYPE, MAX(CREATED_AT) LAST_SEEN," | ||
| "PAYLOAD:source.name::varchar SOURCE_NAME, NULL USER_AGENT " | ||
| "FROM ZENTRALEVENTS " | ||
| "WHERE CREATED_AT >= %s " | ||
| "AND TYPE = 'inventory_heartbeat' " | ||
| "AND SERIAL_NUMBER = %s " | ||
| "GROUP BY TYPE, SOURCE_NAME, USER_AGENT " | ||
|
|
||
| "UNION " | ||
|
|
||
| "SELECT TYPE, MAX(CREATED_AT) LAST_SEEN," | ||
| "NULL SOURCE_NAME, METADATA:request.user_agent::varchar USER_AGENT " | ||
| "FROM ZENTRALEVENTS " | ||
| "WHERE CREATED_AT >= %s " | ||
| "AND TYPE <> 'inventory_heartbeat' " | ||
| "AND ARRAY_CONTAINS('heartbeat'::variant, TAGS) " | ||
| "AND SERIAL_NUMBER = %s " | ||
| "GROUP BY TYPE, SOURCE_NAME, USER_AGENT" | ||
| ) | ||
| args = [from_dt, serial_number, from_dt, serial_number] | ||
| cursor = self._get_connection().cursor(DictCursor) | ||
| cursor.execute(query, args) | ||
| for t in cursor.fetchall(): | ||
| event_class = event_types.get(t['TYPE']) | ||
| if not event_class: | ||
| logger.error("Unknown event type %s", t['TYPE']) | ||
| continue | ||
| key = (event_class, t['SOURCE_NAME']) | ||
| heartbeats.setdefault(key, []).append((t['USER_AGENT'], t['LAST_SEEN'])) | ||
| cursor.close() | ||
| return [ | ||
| (event_class, source_name, ua_max_dates) | ||
| for (event_class, source_name), ua_max_dates in heartbeats.items() | ||
| ] | ||
|
|
||
| # object events | ||
|
|
||
| def fetch_object_events(self, key, val, from_dt, to_dt=None, event_type=None, limit=10, cursor=None): | ||
| return self._fetch_events( | ||
| objref=f"{key}:{val}", | ||
| from_dt=from_dt, | ||
| to_dt=to_dt, | ||
| event_type=event_type, | ||
| limit=limit, | ||
| cursor=cursor | ||
| ) | ||
|
|
||
| def get_aggregated_object_event_counts(self, key, val, from_dt, to_dt=None): | ||
| return self._fetch_aggregated_event_counts( | ||
| objref=f"{key}:{val}", | ||
| from_dt=from_dt, | ||
| to_dt=to_dt | ||
| ) | ||
|
|
||
| # probe events | ||
|
|
||
| def fetch_probe_events(self, probe, from_dt, to_dt=None, event_type=None, limit=10, cursor=None): | ||
| return self._fetch_events( | ||
| probe=probe.pk, | ||
| from_dt=from_dt, | ||
| to_dt=to_dt, | ||
| event_type=event_type, | ||
| limit=limit, | ||
| cursor=cursor | ||
| ) | ||
|
|
||
| def get_aggregated_probe_event_counts(self, probe, from_dt, to_dt=None): | ||
| return self._fetch_aggregated_event_counts( | ||
| probe=probe.pk, | ||
| from_dt=from_dt, | ||
| to_dt=to_dt | ||
| ) | ||
|
|
||
| # zentral apps data | ||
|
|
||
| def get_app_hist_data(self, interval, bucket_number, tag): | ||
| data = [] | ||
| query = ( | ||
| "SELECT COUNT(*) EVENT_COUNT, COUNT(DISTINCT SERIAL_NUMBER) MACHINE_COUNT," | ||
| "DATE_TRUNC(%s, CREATED_AT) BUCKET " | ||
| "FROM ZENTRALEVENTS " | ||
| "WHERE ARRAY_CONTAINS(%s::variant, TAGS) " | ||
| "GROUP BY BUCKET ORDER BY BUCKET DESC" | ||
| ) | ||
| if interval == "day": | ||
| args = ["DAY", tag] | ||
| last_value = timezone.now().replace(hour=0, minute=0, second=0, microsecond=0) | ||
| delta = timedelta(days=1) | ||
| elif interval == "hour": | ||
| args = ["HOUR", tag] | ||
| last_value = timezone.now().replace(minute=0, second=0, microsecond=0) | ||
| delta = timedelta(hours=1) | ||
| else: | ||
| logger.error("Unsupported interval %s", interval) | ||
| return data | ||
| cursor = self._get_connection().cursor(DictCursor) | ||
| cursor.execute(query, args) | ||
| results = { | ||
| t['BUCKET']: (t['EVENT_COUNT'], t['MACHINE_COUNT']) | ||
| for t in cursor.fetchall() | ||
| } | ||
| cursor.close() | ||
| for bucket in (last_value - i * delta for i in range(bucket_number - 1, -1, -1)): | ||
| try: | ||
| event_count, machine_count = results[bucket] | ||
| except KeyError: | ||
| event_count = machine_count = 0 | ||
| data.append((bucket, event_count, machine_count)) | ||
| return data |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.