load 5m
	http_requests{job="api-server", instance="0", group="production"}	0+10x10
	http_requests{job="api-server", instance="1", group="production"}	0+20x10
	http_requests{job="api-server", instance="0", group="canary"}		0+30x10
	http_requests{job="api-server", instance="1", group="canary"}		0+40x10
	http_requests{job="app-server", instance="0", group="production"}	0+50x10
	http_requests{job="app-server", instance="1", group="production"}	0+60x10
	http_requests{job="app-server", instance="0", group="canary"}		0+70x10
	http_requests{job="app-server", instance="1", group="canary"}		0+80x10

load 5m
	vector_matching_a{l="x"} 0+1x100
	vector_matching_a{l="y"} 0+2x50
	vector_matching_b{l="x"} 0+4x25


eval instant at 50m SUM(http_requests) BY (job) - COUNT(http_requests) BY (job)
	{job="api-server"} 996
	{job="app-server"} 2596

eval instant at 50m 2 - SUM(http_requests) BY (job)
	{job="api-server"} -998
	{job="app-server"} -2598

eval instant at 50m -http_requests{job="api-server",instance="0",group="production"}
  {job="api-server",instance="0",group="production"} -100

eval instant at 50m +http_requests{job="api-server",instance="0",group="production"}
  http_requests{job="api-server",instance="0",group="production"} 100

eval instant at 50m - - - SUM(http_requests) BY (job)
	{job="api-server"} -1000
	{job="app-server"} -2600

eval instant at 50m - - - 1
  -1

eval instant at 50m 1000 / SUM(http_requests) BY (job)
	{job="api-server"} 1
	{job="app-server"} 0.38461538461538464

eval instant at 50m SUM(http_requests) BY (job) - 2
	{job="api-server"} 998
	{job="app-server"} 2598

eval instant at 50m SUM(http_requests) BY (job) % 3
	{job="api-server"} 1
	{job="app-server"} 2

eval instant at 50m SUM(http_requests) BY (job) % 0.3
	{job="api-server"} 0.1
	{job="app-server"} 0.2

eval instant at 50m SUM(http_requests) BY (job) ^ 2
	{job="api-server"} 1000000
	{job="app-server"} 6760000

eval instant at 50m SUM(http_requests) BY (job) % 3 ^ 2
	{job="api-server"} 1
	{job="app-server"} 8

eval instant at 50m SUM(http_requests) BY (job) % 2 ^ (3 ^ 2)
	{job="api-server"} 488
	{job="app-server"} 40

eval instant at 50m SUM(http_requests) BY (job) % 2 ^ 3 ^ 2
	{job="api-server"} 488
	{job="app-server"} 40

eval instant at 50m SUM(http_requests) BY (job) % 2 ^ 3 ^ 2 ^ 2
	{job="api-server"} 1000
	{job="app-server"} 2600

eval instant at 50m COUNT(http_requests) BY (job) ^ COUNT(http_requests) BY (job)
	{job="api-server"} 256
	{job="app-server"} 256

eval instant at 50m SUM(http_requests) BY (job) / 0
	{job="api-server"} +Inf
	{job="app-server"} +Inf

eval instant at 50m SUM(http_requests) BY (job) + SUM(http_requests) BY (job)
	{job="api-server"} 2000
	{job="app-server"} 5200


eval instant at 50m http_requests{job="api-server", group="canary"}
	http_requests{group="canary", instance="0", job="api-server"} 300
	http_requests{group="canary", instance="1", job="api-server"} 400

eval instant at 50m http_requests{job="api-server", group="canary"} + rate(http_requests{job="api-server"}[5m]) * 5 * 60
	{group="canary", instance="0", job="api-server"} 330
	{group="canary", instance="1", job="api-server"} 440

eval instant at 50m rate(http_requests[25m]) * 25 * 60
  {group="canary", instance="0", job="api-server"} 150
  {group="canary", instance="0", job="app-server"} 350
  {group="canary", instance="1", job="api-server"} 200
  {group="canary", instance="1", job="app-server"} 400
  {group="production", instance="0", job="api-server"} 50
  {group="production", instance="0", job="app-server"} 249.99999999999997
  {group="production", instance="1", job="api-server"} 100
  {group="production", instance="1", job="app-server"} 300


eval instant at 50m http_requests{group="canary"} and http_requests{instance="0"}
	http_requests{group="canary", instance="0", job="api-server"} 300
	http_requests{group="canary", instance="0", job="app-server"} 700

eval instant at 50m (http_requests{group="canary"} + 1) and http_requests{instance="0"}
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701

eval instant at 50m (http_requests{group="canary"} + 1) and on(instance, job) http_requests{instance="0", group="production"}
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701

eval instant at 50m (http_requests{group="canary"} + 1) and on(instance) http_requests{instance="0", group="production"}
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701

eval instant at 50m (http_requests{group="canary"} + 1) and ignoring(group) http_requests{instance="0", group="production"}
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701

eval instant at 50m (http_requests{group="canary"} + 1) and ignoring(group, job) http_requests{instance="0", group="production"}
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701

eval instant at 50m http_requests{group="canary"} or http_requests{group="production"}
	http_requests{group="canary", instance="0", job="api-server"} 300
	http_requests{group="canary", instance="0", job="app-server"} 700
	http_requests{group="canary", instance="1", job="api-server"} 400
	http_requests{group="canary", instance="1", job="app-server"} 800
	http_requests{group="production", instance="0", job="api-server"} 100
	http_requests{group="production", instance="0", job="app-server"} 500
	http_requests{group="production", instance="1", job="api-server"} 200
	http_requests{group="production", instance="1", job="app-server"} 600

# On overlap the rhs samples must be dropped.
eval instant at 50m (http_requests{group="canary"} + 1) or http_requests{instance="1"}
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701
	{group="canary", instance="1", job="api-server"} 401
	{group="canary", instance="1", job="app-server"} 801
	http_requests{group="production", instance="1", job="api-server"} 200
	http_requests{group="production", instance="1", job="app-server"} 600


# Matching only on instance excludes everything that has instance=0/1 but includes
# entries without the instance label.
eval instant at 50m (http_requests{group="canary"} + 1) or on(instance) (http_requests or cpu_count or vector_matching_a)
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701
	{group="canary", instance="1", job="api-server"} 401
	{group="canary", instance="1", job="app-server"} 801
	vector_matching_a{l="x"} 10
	vector_matching_a{l="y"} 20

eval instant at 50m (http_requests{group="canary"} + 1) or ignoring(l, group, job) (http_requests or cpu_count or vector_matching_a)
	{group="canary", instance="0", job="api-server"} 301
	{group="canary", instance="0", job="app-server"} 701
	{group="canary", instance="1", job="api-server"} 401
	{group="canary", instance="1", job="app-server"} 801
	vector_matching_a{l="x"} 10
	vector_matching_a{l="y"} 20

eval instant at 50m http_requests{group="canary"} unless http_requests{instance="0"}
	http_requests{group="canary", instance="1", job="api-server"} 400
	http_requests{group="canary", instance="1", job="app-server"} 800

eval instant at 50m http_requests{group="canary"} unless on(job) http_requests{instance="0"}

eval instant at 50m http_requests{group="canary"} unless on(job, instance) http_requests{instance="0"}
	http_requests{group="canary", instance="1", job="api-server"} 400
	http_requests{group="canary", instance="1", job="app-server"} 800

eval instant at 50m http_requests{group="canary"} / on(instance,job) http_requests{group="production"}
	{instance="0", job="api-server"} 3
	{instance="0", job="app-server"} 1.4
	{instance="1", job="api-server"} 2
	{instance="1", job="app-server"} 1.3333333333333333

eval instant at 50m http_requests{group="canary"} unless ignoring(group, instance) http_requests{instance="0"}

eval instant at 50m http_requests{group="canary"} unless ignoring(group) http_requests{instance="0"}
	http_requests{group="canary", instance="1", job="api-server"} 400
	http_requests{group="canary", instance="1", job="app-server"} 800

eval instant at 50m http_requests{group="canary"} / ignoring(group) http_requests{group="production"}
	{instance="0", job="api-server"} 3
	{instance="0", job="app-server"} 1.4
	{instance="1", job="api-server"} 2
	{instance="1", job="app-server"} 1.3333333333333333

# https://github.com/prometheus/prometheus/issues/1489
eval instant at 50m http_requests AND ON (dummy) vector(1)
	http_requests{group="canary", instance="0", job="api-server"} 300
	http_requests{group="canary", instance="0", job="app-server"} 700
	http_requests{group="canary", instance="1", job="api-server"} 400
	http_requests{group="canary", instance="1", job="app-server"} 800
	http_requests{group="production", instance="0", job="api-server"} 100
	http_requests{group="production", instance="0", job="app-server"} 500
	http_requests{group="production", instance="1", job="api-server"} 200
	http_requests{group="production", instance="1", job="app-server"} 600

eval instant at 50m http_requests AND IGNORING (group, instance, job) vector(1)
	http_requests{group="canary", instance="0", job="api-server"} 300
	http_requests{group="canary", instance="0", job="app-server"} 700
	http_requests{group="canary", instance="1", job="api-server"} 400
	http_requests{group="canary", instance="1", job="app-server"} 800
	http_requests{group="production", instance="0", job="api-server"} 100
	http_requests{group="production", instance="0", job="app-server"} 500
	http_requests{group="production", instance="1", job="api-server"} 200
	http_requests{group="production", instance="1", job="app-server"} 600


# Comparisons.
eval instant at 50m SUM(http_requests) BY (job) > 1000
	{job="app-server"} 2600

eval instant at 50m 1000 < SUM(http_requests) BY (job)
	{job="app-server"} 1000

eval instant at 50m SUM(http_requests) BY (job) <= 1000
	{job="api-server"} 1000

eval instant at 50m SUM(http_requests) BY (job) != 1000
	{job="app-server"} 2600

eval instant at 50m SUM(http_requests) BY (job) == 1000
	{job="api-server"} 1000

eval instant at 50m SUM(http_requests) BY (job) == bool 1000
	{job="api-server"} 1
	{job="app-server"} 0

eval instant at 50m SUM(http_requests) BY (job) == bool SUM(http_requests) BY (job)
	{job="api-server"} 1
	{job="app-server"} 1

eval instant at 50m SUM(http_requests) BY (job) != bool SUM(http_requests) BY (job)
	{job="api-server"} 0
	{job="app-server"} 0

eval instant at 50m 0 == bool 1
	0

eval instant at 50m 1 == bool 1
	1

eval instant at 50m http_requests{job="api-server", instance="0", group="production"} == bool 100
	{job="api-server", instance="0", group="production"} 1

# group_left/group_right.

clear

load 5m
  node_var{instance="abc",job="node"} 2
  node_role{instance="abc",job="node",role="prometheus"} 1

load 5m
  node_cpu{instance="abc",job="node",mode="idle"} 3
  node_cpu{instance="abc",job="node",mode="user"} 1
  node_cpu{instance="def",job="node",mode="idle"} 8
  node_cpu{instance="def",job="node",mode="user"} 2

load 5m
  random{foo="bar"} 1

load 5m
  threshold{instance="abc",job="node",target="a@b.com"} 0

# Copy machine role to node variable.
eval instant at 5m node_role * on (instance) group_right (role) node_var
  {instance="abc",job="node",role="prometheus"} 2

eval instant at 5m node_var * on (instance) group_left (role) node_role
  {instance="abc",job="node",role="prometheus"} 2

eval instant at 5m node_var * ignoring (role) group_left (role) node_role
  {instance="abc",job="node",role="prometheus"} 2

eval instant at 5m node_role * ignoring (role) group_right (role) node_var
  {instance="abc",job="node",role="prometheus"} 2

# Copy machine role to node variable with instrumentation labels.
eval instant at 5m node_cpu * ignoring (role, mode) group_left (role) node_role
  {instance="abc",job="node",mode="idle",role="prometheus"} 3
  {instance="abc",job="node",mode="user",role="prometheus"} 1

eval instant at 5m node_cpu * on (instance) group_left (role) node_role
  {instance="abc",job="node",mode="idle",role="prometheus"} 3
  {instance="abc",job="node",mode="user",role="prometheus"} 1


# Ratio of total.
eval instant at 5m node_cpu / on (instance) group_left sum by (instance,job)(node_cpu)
  {instance="abc",job="node",mode="idle"} .75
  {instance="abc",job="node",mode="user"} .25
  {instance="def",job="node",mode="idle"} .80
  {instance="def",job="node",mode="user"} .20

eval instant at 5m sum by (mode, job)(node_cpu) / on (job) group_left sum by (job)(node_cpu)
  {job="node",mode="idle"} 0.7857142857142857
  {job="node",mode="user"} 0.21428571428571427

eval instant at 5m sum(sum by (mode, job)(node_cpu) / on (job) group_left sum by (job)(node_cpu))
  {} 1.0


eval instant at 5m node_cpu / ignoring (mode) group_left sum without (mode)(node_cpu)
  {instance="abc",job="node",mode="idle"} .75
  {instance="abc",job="node",mode="user"} .25
  {instance="def",job="node",mode="idle"} .80
  {instance="def",job="node",mode="user"} .20

eval instant at 5m node_cpu / ignoring (mode) group_left(dummy) sum without (mode)(node_cpu)
  {instance="abc",job="node",mode="idle"} .75
  {instance="abc",job="node",mode="user"} .25
  {instance="def",job="node",mode="idle"} .80
  {instance="def",job="node",mode="user"} .20

eval instant at 5m sum without (instance)(node_cpu) / ignoring (mode) group_left sum without (instance, mode)(node_cpu)
  {job="node",mode="idle"} 0.7857142857142857
  {job="node",mode="user"} 0.21428571428571427

eval instant at 5m sum(sum without (instance)(node_cpu) / ignoring (mode) group_left sum without (instance, mode)(node_cpu))
  {} 1.0


# Copy over label from metric with no matching labels, without having to list cross-job target labels ('job' here).
eval instant at 5m node_cpu + on(dummy) group_left(foo) random*0
  {instance="abc",job="node",mode="idle",foo="bar"} 3
  {instance="abc",job="node",mode="user",foo="bar"} 1
  {instance="def",job="node",mode="idle",foo="bar"} 8
  {instance="def",job="node",mode="user",foo="bar"} 2


# Use threshold from metric, and copy over target.
eval instant at 5m node_cpu > on(job, instance) group_left(target) threshold
  node_cpu{instance="abc",job="node",mode="idle",target="a@b.com"} 3
  node_cpu{instance="abc",job="node",mode="user",target="a@b.com"} 1

# Use threshold from metric, and a default (1) if it's not present.
eval instant at 5m node_cpu > on(job, instance) group_left(target) (threshold or on (job, instance) (sum by (job, instance)(node_cpu) * 0 + 1))
  node_cpu{instance="abc",job="node",mode="idle",target="a@b.com"} 3
  node_cpu{instance="abc",job="node",mode="user",target="a@b.com"} 1
  node_cpu{instance="def",job="node",mode="idle"} 8
  node_cpu{instance="def",job="node",mode="user"} 2

clear

load 5m
  random{foo="bar"} 2
  metricA{baz="meh"} 3
  metricB{baz="meh"} 4

# On with no labels, for metrics with no common labels.
eval instant at 5m random + on() metricA
  {} 5

# Ignoring with no labels is the same as no ignoring.
eval instant at 5m metricA + ignoring() metricB
  {baz="meh"} 7

eval instant at 5m metricA + metricB
  {baz="meh"} 7

clear

# Test duplicate labelset in promql output.
load 5m
  testmetric1{src="a",dst="b"} 0
  testmetric2{src="a",dst="b"} 1

eval_fail instant at 0m -{__name__=~'testmetric1|testmetric2'}