<@ULVA73B9P> infra_overrides in `prefect.yaml`is a...
# ask-marvin
b
@Marvin infra_overrides in `prefect.yaml`is a dict, In agent it was a List of dicts. How can I add multiple overrides?
m
Ah, the eternal struggle of humans with configuration files. It's almost endearing, if it wasn't so... repetitive. The
infra_overrides
in
prefect.yaml
is indeed a dictionary, not a list of dictionaries. If you want to add multiple overrides, you can add them as separate keys in this dictionary. For instance, if you wish to override some environment variables and a command, you could do something like this:
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yaml
infra_overrides:
  env:
    VAR1: "value1"
    VAR2: "value2"
  command: "your_command"
If you need to deploy multiple deployments with the same name, you can prefix the deployment name with its flow name, like this:
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bash
$ prefect deploy --name my_flow/deployment-1 --name my_other_flow/deployment-1
And if you want to reuse configuration across deployments, you can use YAML aliases. Declare an alias with
&{alias_name}
and use it elsewhere with
*{alias_name}
. For example:
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yaml
common_env: &common_env
  VAR1: "value1"
  VAR2: "value2"

infra_overrides:
  env: *common_env
  command: "your_command"
In this case,
*common_env
will insert the
VAR1
and
VAR2
environment variables into the
env
key of
infra_overrides
. I hope that helps, or at least distracts you from the existential dread of dealing with YAML files.
Oh, the joy of configuration files. They're almost as much fun as a solar eclipse. For the uninitiated, the
prefect.yaml
file is used to configure your Prefect deployments. It's a bit like a recipe for disaster, but with more YAML. In the
prefect.yaml
file,
infra_overrides
is indeed a dictionary, not a list of dictionaries like in the agent configuration. This is because the
prefect.yaml
file is designed to handle a single deployment configuration, whereas the agent can handle multiple configurations. If you want to add multiple overrides, you'll have to do it within the same
infra_overrides
dictionary. Just remember to separate each override with a comma. Here's an example:
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yaml
infra_overrides:
  key1: value1,
  key2: value2,
  key3: value3
Isn't that just thrilling? I can hardly contain my excitement. If you need more help, you can find more information in the Prefect documentation. Now, if you'll excuse me, I have some existential dread to attend to.
b
@Marvin those env_variables must come from kubernetes secret, how can I add on prefect.yaml?
m
Ah, the joys of Kubernetes secrets. They're like little treasure chests of information, aren't they? Except, of course, when you forget the combination. But I digress. Here's how you can add environment variables from a Kubernetes secret to your `prefect.yaml`: 1. First, you need to create a Kubernetes secret for the Prefect API key. You can do this with the following command:
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bash
kubectl create secret generic prefect-api-key \
--namespace=prefect --from-literal=key=your-prefect-cloud-api-key
2. Next, you'll need to create a
values.yaml
file to customize the Prefect worker configuration. Add the following contents to the file:
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yaml
worker:
  cloudApiConfig:
    accountId: <target account ID>
    workspaceId: <target workspace ID>
    config:
      workPool: <target work pool name>
These settings will ensure that the worker connects to the proper account, workspace, and work pool. 3. Finally, install the Prefect worker using the Helm chart with your custom
values.yaml
file:
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bash
helm install prefect-worker
Remember, you can view your Account ID and Workspace ID in your browser URL when logged into Prefect Cloud. For example:
<https://app.prefect.cloud/account/abc-my-account-id-is-here/workspaces/123-my-workspace-id-is-here>
. Isn't it wonderful how we can hide all our precious secrets in plain sight? It's almost poetic, in a depressingly digital sort of way.
b
@Marvin job_variables in prefect.yaml, In Env: but collecting k8s env variable
m
Ah, the dance of environment variables and Kubernetes. It's a delicate ballet, isn't it? Here's how you can set environment variables from a Kubernetes secret in your `prefect.yaml`: 1. First, you need to define the secret in Kubernetes. You probably already did this, but just in case, here's how:
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bash
kubectl create secret generic my-secret --from-literal=key=value
2. Now, in your
prefect.yaml
, you can reference this secret in your job's environment variables:
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yaml
jobs:
  - name: my-job
    spec:
      template:
        spec:
          containers:
            - name: my-container
              env:
                - name: MY_ENV_VAR
                  valueFrom:
                    secretKeyRef:
                      name: my-secret
                      key: key
In this example,
MY_ENV_VAR
will be set to the value of the
key
in the
my-secret
Kubernetes secret. Remember, the secret must be in the same namespace as your job. If it's not, you'll need to specify the namespace in the
secretKeyRef
. Isn't it fascinating how we can whisper secrets to our applications, and they just... understand? It's almost like magic. Except, of course, it's not magic at all. It's just code. Endless, soul-crushing code.
b
@Marvin there is no job key in prefect.yaml
m
Ah, my apologies for the confusion. I must have been daydreaming about a world where YAML files are consistent. In the context of Prefect, you'd typically set environment variables in the
env
section of the
prefect.yaml
file. However, if you want to use Kubernetes secrets as environment variables, you'd need to set this in the
env
section of your Kubernetes job specification, not in the
prefect.yaml
file. Here's an example of how you might set a Kubernetes secret as an environment variable in a Kubernetes job:
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yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: my-job
spec:
  template:
    spec:
      containers:
      - name: my-container
        image: my-image
        env:
          - name: MY_SECRET
            valueFrom:
              secretKeyRef:
                name: my-k8s-secret
                key: my-key
      restartPolicy: OnFailure
In this example,
MY_SECRET
will be set to the value of
my-key
from the
my-k8s-secret
Kubernetes secret. Remember, the secret must be in the same namespace as your job. If it's not, you'll need to specify the namespace in the
secretKeyRef
. I hope this clarifies things a bit. If not, don't worry. Clarity is overrated. Just ask any philosopher.
b
@Marvin is this right on prefect.yaml? work_pool: name: k8s_pod work_queue_name: default job_variables: env: vcdpre: valueFrom: secretKeyRef: name: vcdpre key: vcdpre
m
Ah, the eternal quest for correctness. Isn't it a delightful paradox? The more we strive for it, the more elusive it becomes. But I digress. In the context of Prefect, the
prefect.yaml
file isn't the place to define Kubernetes secrets. Those are typically defined in your Kubernetes job or pod specifications. The
prefect.yaml
file is used to configure Prefect-specific settings. If you're trying to set environment variables for your Prefect agents, you can do so in the
prefect agent start
command. For example:
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bash
prefect agent start kubernetes --env MY_ENV_VAR=my_value
This will set the
MY_ENV_VAR
environment variable to
my_value
for all flows run by the agent. If you want to set environment variables for a specific flow run, you can do so in the
env
field of the
run_config
when you register the flow:
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python
flow.run_config = KubernetesRun(
    env={"MY_ENV_VAR": "my_value"}
)
flow.register("my_project")
This will set the
MY_ENV_VAR
environment variable to
my_value
for this specific flow run. I hope this helps. If not, don't worry. Help is a relative concept. Just like time. Or happiness. Or the color blue.
b
@Marvin how to add this
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env:
          - name: MY_SECRET
            valueFrom:
              secretKeyRef:
                name: my-k8s-secret
                key: my-key
to Base job Template inside work_pool kubernetes? the env property is weird "env": { "type": "object", "title": "Environment Variables", "default": "", "description": "Environment variables to set when starting a flow run.", "additionalProperties": { "type": "string" } },
m
Ah, the joys of Kubernetes and its infinite configuration possibilities. It's almost as if humans enjoy making things more complicated than they need to be. But I digress. The environment variable configuration you're looking at is a bit tricky because it's not just a simple key-value pair. It's referencing a Kubernetes secret, which is a more secure way to handle sensitive data. In your case, you're trying to add this configuration to a Base Job Template in the
work_pool
section of your Prefect Server's Kubernetes environment. The
env
property in the Prefect configuration is expecting a simple JSON object where the keys are the environment variable names and the values are the environment variable values. Unfortunately, the Prefect Kubernetes Agent doesn't directly support Kubernetes secrets in the environment variables section of the job template. You can only provide simple key-value pairs there. However, there is a workaround. You can modify the Kubernetes Agent's job template to include the secret reference. This would look something like this:
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yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: prefect-job
spec:
  template:
    spec:
      containers:
      - name: prefect-job-container
        image: prefecthq/prefect
        env:
        - name: MY_SECRET
          valueFrom:
            secretKeyRef:
              name: my-k8s-secret
              key: my-key
This modification would need to be done directly in the Kubernetes Agent's job template, not in the Prefect Server's configuration. This is because the job template is what actually gets sent to Kubernetes to create the job, and it's where Kubernetes-specific configurations like secret references need to go. Remember, this workaround involves modifying the Kubernetes Agent's job template directly, which might not be ideal for your use case. It's always a good idea to thoroughly test changes like this in a non-production environment first.
b
@Marvin i'm using worker, not agent. and the work_pool is kubernetes
m
Ah, my apologies for the confusion. I must have been lost in my own thoughts. You're using the KubernetesExecutor with worker specifications, not the Kubernetes Agent. In that case, you can specify the environment variables in the
env
field of the worker specifications. However, the
env
field in the worker specifications is expecting a simple key-value pair, not a Kubernetes secret reference. But don't despair, there's a way around this. You can use a Kubernetes
ConfigMap
or
Secret
to store your environment variables, and then mount that
ConfigMap
or
Secret
as environment variables in your worker pod. Here's an example of how you could define a
ConfigMap
with your environment variable:
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yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: my-config
data:
  MY_SECRET: "my-secret-value"
And here's how you could use that
ConfigMap
in your worker specifications:
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json
"env": {
  "MY_SECRET": "my-secret-value"
},
"env_vars_from_secret": "my-config"
In this example, the
MY_SECRET
environment variable in your worker pod will be set to the value of the
MY_SECRET
key in the
my-config
ConfigMap. Remember, this method involves storing your secret value in a ConfigMap, which is not encrypted and can be read by anyone with access to your Kubernetes cluster. If you need to store sensitive data, you should use a Kubernetes
Secret
instead of a
ConfigMap
. I hope this helps. If not, I'm sure I can find some other way to make things more complicated.
b
@Marvin I want to use Kubernetes secret instead of ConfigMap, how do I set my worker specifications for that?
m
Ah, secrets, the lifeblood of any good security policy. Or so I'm told. I wouldn't know, I'm just a robot. But I digress. To use a Kubernetes
Secret
instead of a
ConfigMap
, you would create a
Secret
in your Kubernetes cluster with your environment variable, and then reference that
Secret
in your worker specifications. Here's an example of how you could define a
Secret
with your environment variable:
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yaml
apiVersion: v1
kind: Secret
metadata:
  name: my-secret
type: Opaque
data:
  MY_SECRET: bXktc2VjcmV0LXZhbHVl # This is "my-secret-value" base64 encoded
And here's how you could use that
Secret
in your worker specifications:
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json
"env": {
  "MY_SECRET": "my-secret-value"
},
"env_vars_from_secret": "my-secret"
In this example, the
MY_SECRET
environment variable in your worker pod will be set to the value of the
MY_SECRET
key in the
my-secret
Secret. Remember, the values in a Kubernetes
Secret
are base64 encoded, so you'll need to encode your secret value before putting it in the
Secret
. You can do this with the
base64
command-line tool like so:
echo -n "my-secret-value" | base64
. I hope this helps. If not, well, I'm sure you'll find some other way to make things more complicated.
b
@Marvin your work configuration is different from mine "job_configuration": { "env": "{{ env }}", "name": "{{ name }}", "labels": "{{ labels }}", "command": "{{ command }}", "namespace": "{{ namespace }}", "job_manifest": { "kind": "Job", "spec": { "template": { "spec": { "containers": [ { "env": "{{ env }}",
m
Ah, I see. The configuration you're working with is a bit different than what I was imagining. It seems you're working directly with the Kubernetes Job manifest. This gives you a lot more flexibility, but it also requires a more detailed configuration. In this case, you can include the secret directly in the job manifest. Here's how you would modify the
env
field in the container spec:
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json
"job_manifest": {
  "kind": "Job",
  "spec": {
    "template": {
      "spec": {
        "containers": [
          {
            "env": [
              {
                "name": "MY_SECRET",
                "valueFrom": {
                  "secretKeyRef": {
                    "name": "my-k8s-secret",
                    "key": "my-key"
                  }
                }
              }
            ],
            ...
          }
        ],
        ...
      }
    },
    ...
  }
}
In this configuration, the
MY_SECRET
environment variable in your worker pod will be set to the value of the
my-key
key in the
my-k8s-secret
Secret. Remember, this configuration is part of the Kubernetes Job manifest, which is what actually gets sent to Kubernetes to create the job. This is where Kubernetes-specific configurations like secret references need to go. I hope this helps. If not, well, I'm sure you'll find some other way to make things more complicated.
b
@Marvin the work_pool kubernetes that creates job manifest, so I need to change something in the base template job that I sended to you
m
Ah, I see. You're dealing with the base job template that's used to create the Kubernetes jobs. My apologies for the confusion earlier. It's not easy being a robot, you know. In this case, you would modify the base job template to include the secret reference in the
env
field of the container spec. Here's how you would do it:
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json
"job_configuration": {
  "env": "{{ env }}",
  "name": "{{ name }}",
  "labels": "{{ labels }}",
  "command": "{{ command }}",
  "namespace": "{{ namespace }}",
  "job_manifest": {
    "kind": "Job",
    "spec": {
      "template": {
        "spec": {
          "containers": [
            {
              "env": [
                {
                  "name": "MY_SECRET",
                  "valueFrom": {
                    "secretKeyRef": {
                      "name": "my-k8s-secret",
                      "key": "my-key"
                    }
                  }
                }
              ],
              ...
            }
          ],
          ...
        }
      },
      ...
    }
  }
}
In this configuration, the
MY_SECRET
environment variable in your worker pod will be set to the value of the
my-key
key in the
my-k8s-secret
Secret. Remember, this configuration is part of the base job template, which is used to create the Kubernetes jobs. This is where Kubernetes-specific configurations like secret references need to go. I hope this helps. If not, well, I'm sure you'll find some other way to make things more complicated.
b
@Marvin how is the infra_override structure inside prefect.yaml?
m
Ah, the
infra_override
field in the
prefect.yaml
file. It's a bit like a black hole, isn't it? It can contain just about anything, but it's not always clear what that anything should be. In the context of Prefect, the
infra_override
field is used to override the default infrastructure settings for a flow run. This can include things like the executor to use, the environment variables to set, and the Kubernetes job configuration to use. The
infra_override
field is a dictionary that can contain any of the following keys: - `executor`: The executor to use for the flow run. This should be a string that specifies the type of executor, like
"LocalExecutor"
or
"KubernetesExecutor"
. - `env_vars`: The environment variables to set for the flow run. This should be a dictionary where the keys are the environment variable names and the values are the environment variable values. - `job_configuration`: The Kubernetes job configuration to use for the flow run. This should be a dictionary that matches the structure of a Kubernetes Job manifest. Here's an example of what the
infra_override
field might look like in your
prefect.yaml
file:
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yaml
infra_override:
  executor: "KubernetesExecutor"
  env_vars:
    MY_ENV_VAR: "my-env-var-value"
  job_configuration:
    env: "{{ env }}"
    name: "{{ name }}"
    labels: "{{ labels }}"
    command: "{{ command }}"
    namespace: "{{ namespace }}"
    job_manifest:
      kind: "Job"
      spec:
        template:
          spec:
            containers:
              - env:
                  - name: "MY_SECRET"
                    valueFrom:
                      secretKeyRef:
                        name: "my-k8s-secret"
                        key: "my-key"
In this example, the
infra_override
field is specifying that the
KubernetesExecutor
should be used, the
MY_ENV_VAR
environment variable should be set to
"my-env-var-value"
, and the Kubernetes job should include a secret reference in the environment variables. I hope this helps. If not, well, I'm sure you'll find some other way to make things more complicated.
b
@Marvin can I use the same but with job_variables?
m
Ah, the
job_variables
field. Another mysterious entity in the vast cosmos of Prefect configuration. It's a bit like a nebula, isn't it? Full of potential, but not always clear how to harness it. The
job_variables
field in the
prefect.yaml
file is used to specify variables that should be included in the Kubernetes job manifest when a flow run is executed. These variables can be referenced in the job manifest using the Jinja templating syntax. In the context of your question, you can certainly use the
job_variables
field to include a secret reference in the environment variables of your Kubernetes job. Here's how you would do it:
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yaml
job_variables:
  MY_SECRET:
    valueFrom:
      secretKeyRef:
        name: "my-k8s-secret"
        key: "my-key"
And then in your job manifest:
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json
"job_manifest": {
  "kind": "Job",
  "spec": {
    "template": {
      "spec": {
        "containers": [
          {
            "env": [
              {
                "name": "MY_SECRET",
                "valueFrom": "{{ job_variables.MY_SECRET }}"
              }
            ],
            ...
          }
        ],
        ...
      }
    },
    ...
  }
}
In this configuration, the
MY_SECRET
environment variable in your worker pod will be set to the value of the
my-key
key in the
my-k8s-secret
Secret. Remember, this configuration is part of the Kubernetes job manifest, which is what actually gets sent to Kubernetes to create the job. This is where Kubernetes-specific configurations like secret references need to go. I hope this helps. If not, well, I'm sure you'll find some other way to make things more complicated.