Merge pull request #151 from ekimekim/mike/sheetsync/track-row-stats

sheetsync: Record counts of rows in the DB, segmented by various columns

monitoring/dashboards/overview.jsonnet

@@ -151,8 +151,12 @@ grafana.dashboard({
           {
             name: "Database events by state",
             axis: {min: 0, label: "events"},
-            tooltip: "Not implemented", // TODO
-            expressions: {"Not implemented": "0"},
+            stack: true,
+            expressions: {
+              "{{state}}": |||
+                sum(event_counts) by (state)
+              |||,
+            },
           },
         ],
       ],

sheetsync/sheetsync/main.py

@@ -3,6 +3,7 @@ import json
 import logging
 import signal
 import uuid
+from collections import defaultdict
 
 import argh
 import gevent.backdoor
@@ -41,6 +42,12 @@ rows_changed = prom.Counter(
 	['type', 'worksheet'],
 )
 
+event_counts = prom.Gauge(
+	'event_counts',
+	'Number of rows in the database',
+	['sheet_name', 'category', 'poster_moment', 'state', 'errored'],
+)
+
 class SheetSync(object):
 
 	# Time between syncs
@@ -190,8 +197,12 @@ class SheetSync(object):
 		"""Return the entire events table as a map {id: event namedtuple}"""
 		result = query(self.conn, "SELECT * FROM events")
 		by_id = {}
+		counts = defaultdict(lambda: 0)
 		for row in result.fetchall():
 			by_id[row.id] = row
+			counts[row.sheet_name, row.category, str(row.poster_moment), row.state, str(bool(row.error))] += 1
+		for labels, count in counts.items():
+			event_counts.labels(*labels).set(count)
 		return by_id
 
 	def parse_row(self, row):