Terraform create weird for_each - google-cloud-platform

Question

I wanted to create a for_each loop that loops only over objects in array that have some specific key : value pair.
My input variables are:
inputs = {
names = ["first", "second"]
lifecycle_rules = [
{
name = first
condition = {
age = "1"
}
action = {
type = "Delete"
}
},{
condition = {
age = "2"
}
action = {
type = "Delete"
}
},
{
name = second
condition = {
age = "3"
}
action = {
type = "Delete"
}
},{
condition = {
age = "4"
}
action = {
type = "Delete"
}
}
]
and in my main.tf (btw for deploying gcp bucket for reference), I wanted to separate the lifecycle per bucket and wanted to apply only the rules that have the buckets name in it.
So if anyone has idea how to modify for_each code below to work, I would highly appreciate. I believe only the for_each needs to be changed to loop over the right elements (let's say only objects in that list that have name = first). from the var.lifecycle_rules set
resource "google_storage_bucket" "buckets" {
count = length(var.names)
name = "${lower(element(var.names, count.index))}"
...
dynamic "lifecycle_rule" {
#for_each = length(lookup(lifecycle_rules[lookup(element(var.names, count.index))])
for_each = lifecycle_rules
content {
action {
type = lifecycle_rule.value.action.type
storage_class = lookup(lifecycle_rule.value.action, "storage_class", null)
}
condition {
#age = lifecycle_rule.value.name == element(var.names, count.index) ? lookup(lifecycle_rule.value.condition, "age", null) : null
age = lookup(lifecycle_rule.value.condition, "age", null) : null
...

Answer 1

I think that this "wierd" look can be obtained in two stages.
Reorganize lifecycle_rules into a map based on names
variable "input" {
default = {
names = ["first", "second"],
lifecycle_rules = [
{
name = "first",
condition = {
age = "1"
},
action = {
type = "Delete"
}
},
{
condition = {
age = "2"
},
action = {
type = "Delete"
}
},
{
name = "second",
condition = {
age = "3"
},
action = {
type = "Delete"
}
},
{
condition = {
age = "4"
},
action = {
type = "Delete"
}
}
]
}
}
locals {
new = {
for name in var.input.names:
name => [for rule in var.input.lifecycle_rules:
contains(keys(rule), "name" ) ?
rule.name == name ? rule: null :
null ]
}
}
which will give local.new in the form of:
{
"first" = [
{
"action" = {
"type" = "Delete"
}
"condition" = {
"age" = "1"
}
"name" = "first"
},
null,
null,
null,
]
"second" = [
null,
null,
{
"action" = {
"type" = "Delete"
}
"condition" = {
"age" = "3"
}
"name" = "second"
},
null,
]
}
Perform the for_each
resource "google_storage_bucket" "buckets" {
for_each = toset(var.input.names)
name = each.key
dynamic "lifecycle_rule" {
# iterate for each name skipping null values
for_each = [for v in local.new[each.key]: v if v != null]
content {
action {
type = lifecycle_rule.value["action"].type
storage_class = lookup(lifecycle_rule.value["action"], "storage_class", null)
}
condition {
age = lookup( tag.value["condition"], "age", null)
}
}
}
}
I could only verify the first step and partial second (using aws_autoscaling_group and its multiple tag components). I don't access to google cloud to fully test the code.