bundles/grafana: make rspamd row more pretty
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1 changed files with 7 additions and 55 deletions
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@ -7,7 +7,7 @@ def dashboard_row_rspamd(panel_id, node):
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'panels': [
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{
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'aliasColors': {},
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'bars': False,
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'bars': True,
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'dashLength': 10,
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'dashes': False,
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'datasource': None,
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@ -32,7 +32,7 @@ def dashboard_row_rspamd(panel_id, node):
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'total': False,
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'values': False
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},
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'lines': True,
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'lines': False,
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'linewidth': 1,
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'NonePointMode': 'None',
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'options': {
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@ -46,7 +46,7 @@ def dashboard_row_rspamd(panel_id, node):
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'seriesOverrides': [],
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'spaceLength': 10,
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'span': 6,
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'stack': False,
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'stack': True,
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'steppedLine': False,
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'targets': [{
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'groupBy': [
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@ -62,7 +62,7 @@ def dashboard_row_rspamd(panel_id, node):
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r["host"] == "{node.name}"
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)
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|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
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|> derivative(unit: 1s, nonNegative: true)
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|> derivative(unit: 1m, nonNegative: true)
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|> yield(name: "value")""",
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'resultFormat': 'time_series',
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'select': [[
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@ -170,7 +170,7 @@ def dashboard_row_rspamd(panel_id, node):
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r["host"] == "{node.name}"
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)
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|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
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|> derivative(unit: 1s, nonNegative: true)
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|> derivative(unit: 1m, nonNegative: true)
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|> yield(name: "avg")""",
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'resultFormat': 'time_series',
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'select': [[
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@ -194,55 +194,7 @@ def dashboard_row_rspamd(panel_id, node):
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r["host"] == "{node.name}"
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)
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|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
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|> derivative(unit: 1s, nonNegative: true)
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|> yield(name: "mean")""",
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'resultFormat': 'time_series',
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'select': [[
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{'type': 'field', 'params': ['value']},
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{'type': 'mean', 'params': []},
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]],
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"tags": []
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},
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{
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'groupBy': [
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{'type': 'time', 'params': ['$__interval']},
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{'type': 'fill', 'params': ['linear']},
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],
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'orderByTime': "ASC",
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'policy': "default",
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'query': f"""from(bucket: "telegraf")
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|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
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|> filter(fn: (r) =>
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r["_measurement"] == "rspamd_stats" and
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r["_field"] == "spam_count" and
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r["host"] == "{node.name}"
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)
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|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
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|> derivative(unit: 1s, nonNegative: true)
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|> yield(name: "mean")""",
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'resultFormat': 'time_series',
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'select': [[
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{'type': 'field', 'params': ['value']},
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{'type': 'mean', 'params': []},
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]],
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"tags": []
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},
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{
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'groupBy': [
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{'type': 'time', 'params': ['$__interval']},
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{'type': 'fill', 'params': ['linear']},
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],
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'orderByTime': "ASC",
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'policy': "default",
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'query': f"""from(bucket: "telegraf")
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|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
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|> filter(fn: (r) =>
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r["_measurement"] == "rspamd_stats" and
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r["_field"] == "ham_count" and
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r["host"] == "{node.name}"
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)
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|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
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|> derivative(unit: 1s, nonNegative: true)
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|> derivative(unit: 1m, nonNegative: true)
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|> yield(name: "mean")""",
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'resultFormat': 'time_series',
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'select': [[
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@ -254,7 +206,7 @@ def dashboard_row_rspamd(panel_id, node):
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],
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'thresholds': [],
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'timeRegions': [],
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'title': 'rspamd stats',
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'title': 'rspamd scanned/learned',
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'tooltip': {
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'shared': True,
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'sort': 0,
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