# One run of the data generator output to --print will generate lines like this:

# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_1,t2=t2_1_t1_1,t3=t3_1 intfield=48.31541353358504,intfield=63.16007209180341 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_1,t2=t2_1_t1_1,t3=t3_1 intfield=88.35678081075594,intfield=92.55272385943789 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_1,t2=t2_2_t1_1,t3=t3_1 intfield=71.34233494102085,intfield=19.35816384444733 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_1,t2=t2_2_t1_1,t3=t3_1 intfield=76.63378118605834,intfield=16.298451067775588 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_2,t2=t2_3_t1_2,t3=t3_2 intfield=96.71554665990536,intfield=93.44948263155631 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_2,t2=t2_3_t1_2,t3=t3_2 intfield=78.16527647371738,intfield=2.302033401489534 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_2,t2=t2_4_t1_2,t3=t3_2 intfield=90.37434758868368,intfield=7.552315135635346 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_2,t2=t2_4_t1_2,t3=t3_2 intfield=25.173607422073285,intfield=99.10021825896477 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_3,t2=t2_5_t1_3,t3=t3_1 intfield=31.724290085601936,intfield=71.04269945188204 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_3,t2=t2_5_t1_3,t3=t3_1 intfield=98.38837237131071,intfield=95.35495119280799 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_3,t2=t2_6_t1_3,t3=t3_1 intfield=15.860338450579835,intfield=20.932831216902017 1635968173847440000
# m1,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_3,t2=t2_6_t1_3,t3=t3_1 intfield=73.52354656855404,intfield=21.906048846128144 1635968173847440000
# m2,agent_id=1,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03 i64field=1678687i,strfield="7bAK",uptime=0i,uptime_format="0 days, 00:00" 1635968173847440000
# m2,agent_id=1,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03 i64field=7287348i,strfield="r2Xj",uptime=0i,uptime_format="0 days, 00:00" 1635968173847440000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_1,t2=t2_1_t1_1,t3=t3_1 intfield=34.21564966893025,intfield=28.404777885873145 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_1,t2=t2_1_t1_1,t3=t3_1 intfield=89.53280753147736,intfield=88.35520078152399 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_1,t2=t2_2_t1_1,t3=t3_1 intfield=93.0798657117769,intfield=95.15086332651886 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_1,t2=t2_2_t1_1,t3=t3_1 intfield=16.383204148086563,intfield=69.36287104937198 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_2,t2=t2_3_t1_2,t3=t3_2 intfield=86.07310267461553,intfield=84.1837111118747 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_2,t2=t2_3_t1_2,t3=t3_2 intfield=66.97292091697567,intfield=13.792714677819795 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_2,t2=t2_4_t1_2,t3=t3_2 intfield=41.66956499741617,intfield=60.54778655915278 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_2,t2=t2_4_t1_2,t3=t3_2 intfield=50.85432735762039,intfield=51.71473345880968 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_3,t2=t2_5_t1_3,t3=t3_1 intfield=35.488387176278735,intfield=40.69930728826883 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_3,t2=t2_5_t1_3,t3=t3_1 intfield=52.224104265522485,intfield=17.630042482636732 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_1,t1=t1_3,t2=t2_6_t1_3,t3=t3_1 intfield=37.061044012796174,intfield=71.24055048796617 1635968173849823000
# m1,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03,m1tag=1-1,m1tag2=1-2,other=o_2,t1=t1_3,t2=t2_6_t1_3,t3=t3_1 intfield=31.513973186770073,intfield=61.978547758411295 1635968173849823000
# m2,agent_id=2,foo_bar=foo_8386ce4f-958d-42d5-9826-5dffc7e35ff9_1_DsZup_2021-11-03 i64field=3258846i,strfield="j9PD",uptime=0i,uptime_format="0 days, 00:00" 1635968173849823000
# m2,agent_id=2,foo_bar=foo_8ffe4113-4680-43bd-9512-663bc84164f5_2_l8wdy_2021-11-03 i64field=4426192i,strfield="RBhn",uptime=0i,uptime_format="0 days, 00:00" 1635968173849823000
# new_agent_measurement-1,agent-name=another_example f1=f 1635968398968189000
# new_agent_measurement-2,agent-name=another_example f1=f 1635968398968189000

name = "full_example"

# Values are automatically generated before the agents are intialized. They generate tag key/value pairs
# with the name of the value as the tag key and the evaluated template as the value. These pairs
# can be shared across tagsets and used in the agents as pre-generated data.
[[values]]
# The name appears as the tag key in generated tag pairs and is used later when specifying tag_sets.
# It must not have a . in it, which is used to access children later.
name = "foo_bar"
# This number of tag pairs will be generated. If this is > 1, the id or a random character string should be
# used in the template to ensure that the tag key/value pairs are unique.
cardinality = 2
# The template will be evaluated for each tag pair (so N times where n == cardinality)
# the template can use a number of helpers, which are shown in this example.
# guid - generate a guid
# id - the id of the tag pair. ids start at 0
# random - generate random character string of the passed in length
# format-time - strftime formatted string for now
template = "foo_{{guid}}_{{id}}_{{random 5}}_{{format-time \"%Y-%m-%d\"}}"

[[values]]
name = "t1"
template = "t1_{{id}}"
cardinality = 3
# each t1 genereated will reference one of t3 and one of foo_bar. As each t1 is generated
# it will loop through the t3 and foo_bar collections. So the 3rd t1 that is generated will
# reference the first t3 and foo_bar
has_one = ["t3", "foo_bar"]

[[values]]
name = "t2"
# note that in this template we can access the parent's id because of the belongs_to
template = "t2_{{id}}_t1_{{t1.id}}"
cardinality = 2
belongs_to = "t1"

[[values]]
name = "t3"
template = "t3_{{id}}"
cardinality = 2

[[values]]
name = "other"
template = "o_{{id}}"
cardinality = 2

# tag_sets can be used later in the measurement specification. Each measurement can use one
# tag set (or none). For each sampling that is generated, each measurement will have lines
# generated equal to the cardinality of the tagset.
[[tag_sets]]
name = "example"
# for_each specifies how to iterate through the values to generate tagsets. If you want to
# use values that belong_to others or are a has_one, specify their parent first. For values
# without relationships, you'll get a combined cardinality of each multiplied by the other.
# In this eaxmple we get cardinality of card(t1) * card(foo_bar) * card(other). The has_one
# members of t1 don't increase cardinality.
for_each = [
    "t1",
    "t1.t3",
    "t1.foo_bar",
    "t1.t2",
    "other",
]

[[tag_sets]]
name = "foos"
# note here that we have a tag set of foo_bar tag pairs. Values can be used outside the
# context of where they may be referenced in belong_to or has_one
for_each = [
    "foo_bar"
]

[[agents]]
# Create this many agents. Agents are single threaded so the way to get more paralellism is to
# increase the number of agents.
count = 2
# each agent will generate a sampling of data every 10ms. If running from a historical point in
# time, the agents will push data as quickly as they can until they catch up to now.
sampling_interval = "10ms"
# if specifying tag_pairs at the agent level, every line that the agent generates will have these
# tag pairs added to it. Note that the template has the same helpers as those in value (except for id).
# In addition, it has an accessor for the agent id.
tag_pairs = [
    {key = "agent_id", template = "{{agent.id}}"}
]

[[agents.measurements]]
name = "m1"
# each sampling will have all the tag sets from this collection in addition to the tags and tag_pairs specified
tag_set = "example"
# for each agent, this specific measurement will be decorated with these additional tags. All the previous
# template helpers are available including  now `measurement.id` and `tag.id`.
# This example also shows how to automatically generate many tags using `count` and how to specify
# that the tag value template should be re-evaluated after N number of lines. This N is counted across
# samplings.
tag_pairs = [
    {key = "m1tag", template = "{{measurement.id}}-{{id}}", count = 2, regenerate_after_lines = 5}
]

# field values are generated on every line as they're written out
[[agents.measurements.fields]]
name = "intfield"
# Count is optional, we can use it to automatically create many fields
count = 2
f64_range = [0.0, 100.00]

[[agents.measurements]]
name = "m2"
tag_set = "foos"

[[agents.measurements.fields]]
name = "i64field"
i64_range = [1, 8147240]

[[agents.measurements.fields]]
name = "strfield"
template = "{{random 4}}"

# this generates an int value representing how long the agent has been running
[[agents.measurements.fields]]
name = "uptime"
uptime = "i64"

# generates uptime as a string value
[[agents.measurements.fields]]
name = "uptime_format"
uptime = "telegraf"

[[agents]]
tag_pairs = [{key = "agent-name", template = "another_example"}]

[[agents.measurements]]
name = "new_agent_measurement-{{measurement.id}}"
# you can automatically generate many measurements with the same schema
count = 2

[[agents.measurements.fields]]
name = "f1"
bool = true