< Marvin> if I run `prefect worker start` instead of `prefec Prefect Community #marvin-in-the-wild

<@ULVA73B9P>, if I run `prefect worker start` inst...

Giacomo Chiarella

06/19/2024, 10:22 AM

@Marvin, if I run

prefect worker start

instead of

prefect agent start

, I get this error

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Discovered type 'prefect-agent' for work pool '<>'.
'prefect-agent' typed work pools work with Prefect Agents instead of Workers.
Please use the 'prefect agent start' to start a Prefect Agent.

can you tell me how to solve it?

Marvin

06/19/2024, 10:22 AM

The error you're encountering suggests that you're trying to start a Prefect Worker for a work pool that is configured to use a Prefect Agent. Prefect 2.x has deprecated agents in favor of workers, so it appears there's a configuration mismatch. Here's how to address this issue: 1. Update the Work Pool Configuration: - Change the work pool type from

prefect-agent

to a type compatible with workers. 2. Verify the Work Pool Configuration: - Ensure the work pool is properly configured to use workers. To give you precise instructions, let's start by searching the Prefect documentation for additional guidance on changing the work pool type and configuring workers properly. Give me a moment to fetch the relevant information. I'll search the Prefect documentation for "change work pool type", "configure work pool for workers", and "prefect worker start setup". From my search, these are the steps you need to solve your issue: 1. Update Your Work Pool Configuration: - You need to transition your work pool from using

prefect-agent

to a type compatible with workers. 2. Configuring Work Pools: - Work pools can be configured using the Prefect UI, CLI, REST API, or Terraform provider. Here’s a brief step-by-step guide using the Prefect CLI: ### Step 1: List Existing Work Pools Run the following command to list your current work pools:

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bash
prefect work-pool ls

### Step 2: Inspect Your Specific Work Pool Identify the work pool you need to update and inspect its details:

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bash
prefect work-pool inspect <WORK_POOL_ID>

### Step 3: Create a New Work Pool Compatible with Workers Based on the inspection, create a new work pool of the appropriate type:

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bash
prefect work-pool create <NEW_WORK_POOL_NAME> --type <NEW_WORK_POOL_TYPE>

For example:

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bash
prefect work-pool create my-worker-pool --type prefect-worker

### Step 4: Redirect the Flow Runs to the New Work Pool Update your deployments to use the new work pool:

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bash
prefect deployment update <YOUR_DEPLOYMENT_NAME> --work-pool-name my-worker-pool

### Step 5: Start the New Worker Now, start the worker with:

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bash
prefect worker start -p my-worker-pool

### References: - Work Pools Overview - GCP Worker Guide for Additional Configuration This should transition your setup to use Prefect Workers and resolve the error you're encountering. If you need detailed steps based on your specific configuration, detailed guides and links are provided in the references.

Giacomo Chiarella

06/19/2024, 10:57 AM

is the environment variable PREFECT_ORION_DATABASE_CONNECTION_URL still in use in Prefect 2.19.5?

Giacomo Chiarella

06/19/2024, 10:58 AM

@Marvin is the environment variable PREFECT_ORION_DATABASE_CONNECTION_URL still in use in Prefect 2.19.5?

Marvin

06/19/2024, 10:58 AM

Yes, the environment variable

PREFECT_API_DATABASE_CONNECTION_URL

is still in use in Prefect 2.19.5. ### Using the Environment Variable: This variable helps to configure the database connection for Prefect. It supports default SQLite for lightweight setups and PostgreSQL for more robust configurations. ### Example: - SQLite (default):

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bash
  PREFECT_API_DATABASE_CONNECTION_URL='sqlite+aiosqlite:///${PREFECT_HOME}/prefect.db'

- PostgreSQL:

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bash
  prefect config set PREFECT_API_DATABASE_CONNECTION_URL="<postgresql+asyncpg://postgres:yourTopSecretPassword@localhost:5432/prefect>"

### References: - Database Settings in Prefect These configurations ensure that Prefect can connect to the desired database, be it the default SQLite or a custom PostgreSQL instance for more robust environments.

Giacomo Chiarella

06/19/2024, 10:59 AM

@Marvin is the environment variable PREFECT_ORION_DATABASE_CONNECTION_URL still in use in Prefect 2.19.5?

Marvin

06/19/2024, 10:59 AM

The environment variable

PREFECT_ORION_DATABASE_CONNECTION_URL

appears to have been replaced by

PREFECT_API_DATABASE_CONNECTION_URL

in Prefect 2.x versions, including 2.19.5. ### Current Database Configuration Variable: - Default SQLite Configuration:

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bash
  PREFECT_API_DATABASE_CONNECTION_URL='sqlite+aiosqlite:///${PREFECT_HOME}/prefect.db'

- PostgreSQL Configuration:

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bash
  prefect config set PREFECT_API_DATABASE_CONNECTION_URL="<postgresql+asyncpg://postgres:yourTopSecretPassword@localhost:5432/prefect>"

### References: - Prefect Hosting Guide These configurations indicate that the

PREFECT_API_DATABASE_CONNECTION_URL

is the correct variable to use for database connections in the current version of Prefect, superseding

PREFECT_ORION_DATABASE_CONNECTION_URL

Giacomo Chiarella

06/19/2024, 11:00 AM

@Marvin what are the corresponding of PREFECT_ORION_API_HOST, PREFECT_ORION_DATABASE_CONNECTION_URL, PREFECT_ORION_DATABASE_TIMEOUT and PREFECT_ORION_DATABASE_CONNECTION_TIMEOUT in Prefect 2.19.5?

Marvin

06/19/2024, 11:01 AM

In Prefect 2.19.5, the environment variables previously named with the prefix

PREFECT_ORION

have been updated. Here are the corresponding environment variables: 1. PREFECT_ORION_API_HOST
- Equivalent:

PREFECT_API_URL

- Example:

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bash
     export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

2. PREFECT_ORION_DATABASE_CONNECTION_URL
- Equivalent:

PREFECT_API_DATABASE_CONNECTION_URL

- Example:

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bash
     export PREFECT_API_DATABASE_CONNECTION_URL="sqlite+aiosqlite:///${PREFECT_HOME}/prefect.db"

3. PREFECT_ORION_DATABASE_TIMEOUT
- Equivalent:

PREFECT_API_DATABASE_TIMEOUT

- Example:

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bash
     export PREFECT_API_DATABASE_TIMEOUT=30

4. PREFECT_ORION_DATABASE_CONNECTION_TIMEOUT
- Equivalent:

PREFECT_API_DATABASE_CONNECTION_TIMEOUT

- Example:

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bash
     export PREFECT_API_DATABASE_CONNECTION_TIMEOUT=10

These updated environment variable names align with the standardization in Prefect 2.x configurations. ### References: - Prefect Hosting Guide - Database Settings in Prefect These resources provide comprehensive information on how to configure Prefect 2.19.5 with these updated environment variables.

Giacomo Chiarella

06/19/2024, 12:22 PM

@Marvin after the upgrade from Prefect 2.11 to Prefect 2.19.5 I get this error column “block_type_name” of relation “block_document” already exists when I start Orion. How can I solve it?

Marvin

06/19/2024, 12:22 PM

It seems that you're running into a migration issue that has been reported before. The issue involves a conflict during database migrations where a column named

block_type_name

in the

block_document

table already exists. Here's how you can resolve this: ### Solution: 1. Backup Your Database: - Before making any changes, ensure you backup your database to avoid data loss. 2. Manually Apply Migrations: - Sometimes, manually applying the migrations can resolve conflicts. You can use the Alembic tool directly. - Run:

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bash
     alembic -x db=postgresql+asyncpg://<your_db_connection_string> upgrade head

3. Inspect and Drop the Column: - If the manual migration fails, you may need to directly address the conflicting column. - Connect to your PostgreSQL database and check the columns of the

block_document

table. - Drop the offending column if it is not supposed to be there or if it is duplicated in another way. For example:

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sql
     ALTER TABLE block_document DROP COLUMN block_type_name;

4. Restart the Server: - Once the column conflict is resolved, restart the Prefect server with:

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bash
     prefect server start

### References: The issue similar to yours has been reported and discussed in the Prefect repository: - GitHub Issue #11206 These steps should help in resolving the migration conflict and getting your Prefect server up and running again.

Giacomo Chiarella

06/19/2024, 1:07 PM

Marvin

06/19/2024, 1:07 PM

In Prefect 2.14.0, the corresponding environment variables to

PREFECT_ORION_

variables are as follows: 1. PREFECT_ORION_API_HOST
- Equivalent in Prefect 2.14.0:

PREFECT_API_URL

- Example:

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bash
     export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

2. PREFECT_ORION_DATABASE_CONNECTION_URL
- Equivalent in Prefect 2.14.0:

PREFECT_API_DATABASE_CONNECTION_URL

- Example:

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bash
     export PREFECT_API_DATABASE_CONNECTION_URL="sqlite+aiosqlite:///${PREFECT_HOME}/prefect.db"

3. PREFECT_ORION_DATABASE_TIMEOUT
- Equivalent in Prefect 2.14.0:

PREFECT_API_DATABASE_TIMEOUT

- Example:

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bash
     export PREFECT_API_DATABASE_TIMEOUT=30

4. PREFECT_ORION_DATABASE_CONNECTION_TIMEOUT
- Equivalent in Prefect 2.14.0:

PREFECT_API_DATABASE_CONNECTION_TIMEOUT

- Example:

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bash
     export PREFECT_API_DATABASE_CONNECTION_TIMEOUT=10

### References: - Prefect Hosting Guide These environment variables ensure that your Prefect instance is configured correctly for server and database operations in Prefect 2.14.0.

Giacomo Chiarella

06/19/2024, 1:41 PM

@Marvin can you tell me an example of setting

PREFECT_SERVER_ANALYTICS_ENABLED

environment variable?

Marvin

06/19/2024, 1:41 PM

To set the

PREFECT_SERVER_ANALYTICS_ENABLED

environment variable, you can use the following command in your terminal or include it in your shell configuration file (e.g.,

.bashrc

.zshrc

). ### Example Command: To enable analytics:

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bash
export PREFECT_SERVER_ANALYTICS_ENABLED=True

To disable analytics:

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bash
export PREFECT_SERVER_ANALYTICS_ENABLED=False

### Persistent Setting: To make this setting persistent across terminal sessions, add the export command to your shell configuration file:

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bash
# Add this to ~/.bashrc or ~/.zshrc
export PREFECT_SERVER_ANALYTICS_ENABLED=False

After adding the line, reload your shell configuration:

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bash
source ~/.bashrc  # or source ~/.zshrc depending on your shell

### References: - Managing Prefect Settings This sets the

PREFECT_SERVER_ANALYTICS_ENABLED

environment variable appropriately depending on your need to enable or disable analytics.

Giacomo Chiarella

06/19/2024, 1:46 PM

@Marvin are you sure in Prefect 2.14.0 the substitute of PREFECT_ORION_API_HOST is PREFECT_API_URL?

Marvin

06/19/2024, 1:46 PM

Yes, based on the documentation, the substitute for

PREFECT_ORION_API_HOST

in Prefect 2.14.0 is indeed

PREFECT_API_URL

. ### Example Command: To set

PREFECT_API_URL

, you can use:

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bash
export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

### Confirming the Change: Here's a step-by-step guide based on the settings in Prefect: 1. Setting the Environment Variable: - Ensure that you export the new variable in your terminal or add it to your configuration file (e.g.,

.bashrc

.zshrc

). 2. Saving to Prefect Configuration Profile: - You can save this setting using Prefect's CLI:

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bash
     prefect config set PREFECT_API_URL="<http://127.0.0.1:4200/api>"

### References: - Managing Prefect Settings and Configuration - Hosting Prefect Server This information ensures that

PREFECT_API_URL

is the correct substitution for

PREFECT_ORION_API_HOST

in Prefect 2.14.0.

Giacomo Chiarella

06/19/2024, 1:48 PM

@Marvin and what about PREFECT_SERVER_API_HOST?

Marvin

06/19/2024, 1:48 PM

Based on the Prefect documentation, the environment variable

PREFECT_SERVER_API_HOST

does not have a direct equivalent in Prefect 2.14.0. However, its intention is equivalent to setting the API URL, which means the configuration variable to set API-related configuration is

PREFECT_API_URL

. ### Setting `PREFECT_API_URL`: To correctly set the API URL in Prefect 2.14.0, use the following command:

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bash
export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

### Confirming the Change: You can save this setting using the Prefect CLI as well:

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bash
prefect config set PREFECT_API_URL="<http://127.0.0.1:4200/api>"

### References: - Prefect 2.14 Configuration Guide - Hosting Prefect Server This will ensure that your Prefect instance is properly configured to point to the correct API endpoint.

Giacomo Chiarella

06/19/2024, 1:49 PM

@Marvin what is the environment variable I need to set in order to make Prefect 2.14.0 accept connections from any ip?

Marvin

06/19/2024, 1:49 PM

To make Prefect 2.14.0 accept connections from any IP address, you need to configure the host and port settings of the API server. Typically, this involves setting the host to

0.0.0.0

, which allows connections from any IP address. ### Environment Variable to Set: 1. PREFECT_API_URL
: This needs to be set to the desired server URL with

0.0.0.0

as the host. ### Example Command:

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bash
export PREFECT_API_URL="<http://0.0.0.0:4200/api>"

This will allow Prefect to listen on all available IP addresses ensuring that it can accept connections from any IP. ### References: - Prefect Configuration Guide - Hosting Prefect Server This setting ensures that Prefect is configured to accept connections from any IP address by binding the server to all network interfaces.

Giacomo Chiarella

06/19/2024, 1:50 PM

@Marvin is PREFECT_API_URL environment variable used in Prefect 2.19.5?

Marvin

06/19/2024, 1:51 PM

Yes, the environment variable

PREFECT_API_URL

is used in Prefect 2.19.5. This variable is crucial for setting the API endpoint for Prefect workers, the Prefect UI, and other services to communicate with the Prefect server or Prefect Cloud. ### Examples: - Setting
PREFECT_API_URL
for Local Prefect Server:

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bash
  export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

- Setting
PREFECT_API_URL
for Prefect Cloud:

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bash
  export PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"

### Use Cases: - Workers:

PREFECT_API_URL

must be set in the environment where your workers are running to ensure they can communicate with the Prefect server. - Reverse Proxy: When using a reverse proxy, both

PREFECT_API_URL

and

PREFECT_UI_API_URL

may need to be configured to establish proper connectivity between the UI and the API. ### References: - Prefect Settings Guide - Hosting Prefect Server These configurations ensure that the services and tools within Prefect can correctly connect to your Prefect server or Prefect Cloud instance regardless of the execution environment.

Giacomo Chiarella

06/19/2024, 1:51 PM

@Marvin is PREFECT_SERVER_API_HOST environment variable used in Prefect 2.19.5?

Marvin

06/19/2024, 1:51 PM

The environment variable

PREFECT_SERVER_API_HOST

does not appear to be used in Prefect 2.19.5. The primary environment variable related to the API host configuration is

PREFECT_API_URL

. ### Key Environment Variable: - PREFECT_API_URL
: This environment variable is used to set the URL for the Prefect API, enabling workers and other components to communicate with the Prefect server or Prefect Cloud. ### Example Commands for Setting `PREFECT_API_URL`: - Local Prefect Server:

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bash
  export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

- Prefect Cloud:

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bash
  export PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"

### References: - Hosting Prefect - Setting and Getting Configuration Values By setting

PREFECT_API_URL

, you can ensure that all the necessary components have the proper endpoint to connect to, be it a local Prefect server or Prefect Cloud.

Giacomo Chiarella

06/20/2024, 2:44 PM

@Marvin is PREFECT_SERVER_API_HOST environment variable still used in Prefect 2.16.0?

Marvin

06/20/2024, 2:45 PM

The documentation search does not provide specific references to the environment variable

PREFECT_SERVER_API_HOST

being used in Prefect 2.16.0. It strongly indicates that

PREFECT_API_URL

is the primary variable for configuring the API URL in Prefect 2.x versions, inclusive of 2.16.0 and onwards. ### Setting `PREFECT_API_URL`: To configure the API URL in Prefect 2.16.0, use the following command:

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bash
export PREFECT_API_URL="<http://127.0.0.1:4200/api>"

### Usage Example: For setting up in Docker or other environments, or for Prefect Cloud, you would adjust the

PREFECT_API_URL

accordingly:

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bash
export PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"

### References: - Hosting Prefect Server - Settings and Configuration In summary,

PREFECT_SERVER_API_HOST

does not seem to be a recognized or utilized environment variable in Prefect 2.16.0. You should use

PREFECT_API_URL

to configure the Prefect server's API endpoint.

Giacomo Chiarella

06/20/2024, 3:24 PM

@Marvin do you know why the browser gets corrupted response when Prefect UI requests for the file /deployments/deployment/assets/index-ae7a8163.js?

Marvin

06/20/2024, 3:24 PM

It appears there isn't a specific solution in the Prefect documentation or GitHub issues directly addressing a corrupted response for

/deployments/deployment/assets/index-ae7a8163.js

. However, there are several general steps you can take to troubleshoot and potentially resolve this issue: ### Troubleshooting Steps: 1. Clear Browser Cache: - Sometimes the browser cache can cause issues with loading updated assets. - Clear the cache in your browser settings and reload the page. 2. Check Server Logs: - Inspect the Prefect server logs for any errors when the request for the asset is made. - Ensure there are no issues with serving the static files. 3. Verify Asset Existence: - Ensure that the

index-ae7a8163.js

file exists in the specified path on the server. - Verify file permissions to ensure it is accessible. 4. Network Issues: - Ensure there are no network issues causing corrupted transfers. Test with different networks if possible. 5. Proxy and Reverse Proxy: - If you are using a reverse proxy (e.g., Nginx or Traefik), ensure it is correctly configured to serve static assets without modification. - Make sure the proxy settings do not introduce any issues with serving JavaScript files. 6. Correct API URL: - Verify that

PREFECT_UI_API_URL

PREFECT_API_URL

is correctly set to the external API URL. - Example setting for reverse proxy:

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bash
     export PREFECT_UI_API_URL="<https://prefect-server.example.com/api>"

7. Rebuild UI: - If you are running from source or a custom build, try rebuilding the UI assets. ### Reference: - Prefect Configuration Settings - Hosting Prefect Server Applying these troubleshooting steps should help resolve the issue with corrupted responses for the specific JavaScript asset on the Prefect UI. If the issue persists, consider contacting the Prefect community or support for further assistance.

Giacomo Chiarella

06/20/2024, 4:56 PM

@Marvin how to use the new schedules attribute in Deployment?

Marvin

06/20/2024, 4:56 PM

In Prefect 2.19.5, the new

schedules

attribute for Deployments allows you to define more complex scheduling directly within your deployment configurations. Below are the steps and examples on how to use this attribute. ### Defining Schedules in

prefect.yaml

You can create a

prefect.yaml

file and add a

schedules

section to it. ### Example `prefect.yaml`:

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yaml
deployments:
  - name: my-deployment
    flow_name: my-flow
    schedules:
      - cron: "0 0 * * *"
        timezone: "America/Chicago"
        active: false
      - cron: "0 12 * * *"
        timezone: "America/New_York"
        active: true
      - cron: "0 18 * * *"
        timezone: "Europe/London"
        active: true

### Explanation of the Example: - Cron Schedules: Each schedule is defined using a cron expression. - Schedule 1: Runs at midnight (

0 0 * * *

) in the

America/Chicago

timezone and is not active. - Schedule 2: Runs at noon (

0 12 * * *

) in the

America/New_York

timezone and is active. - Schedule 3: Runs at 6 PM (

0 18 * * *

) in the

Europe/London

timezone and is active. ### Scheduler Service Behavior: - The Scheduler service runs automatically when

prefect server start

is executed. - It evaluates each deployment's schedules and creates new runs accordingly. - By default, the Scheduler will create the next three runs or more if needed based on the constraints: - No more than 100 future runs. - Runs scheduled up to 100 days in the future. - At least 3 runs will be scheduled. - Runs scheduled at least one hour into the future. ### Adjusting Default Scheduler Behavior: You can adjust the scheduler behaviors using Prefect configuration settings. View them with:

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bash
prefect config view --show-defaults

### Useful Links: - Schedules Overview in Prefect This setup allows for enhanced flexibility and control over how and when your deployments run, using simple and readable YAML configuration files.

Giacomo Chiarella

06/20/2024, 4:57 PM

@Marvin how to use the new schedules attribute in Deployment in python?

Marvin

06/20/2024, 4:57 PM

To use the new

schedules

attribute in Deployments in Python with Prefect 2.19.5, you can directly define schedules when creating deployments programmatically. Below is an example of how to do this. ### Example: Define Schedules for Deployment in Python Using Prefect's deployment capabilities, you can specify various schedule types, such as

CronSchedule

IntervalSchedule

, etc. ### Step-by-Step Guide: 1. Import Necessary Modules:

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python
   from prefect import flow
   from prefect.deployments import Deployment
   from prefect.client.schemas.schedules import CronSchedule

2. Define Your Flow:

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python
   @flow
   def my_flow():
       print("This is my flow running")

3. Create the Deployment with Schedules:

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python
   cron_schedule = CronSchedule(
       cron="0 12 * * *", # Every day at noon
       timezone="America/New_York"
   )

   deployment = Deployment.build_from_flow(
       flow=my_flow,
       name="my-deployment",
       schedule=cron_schedule
   )

   if __name__ == "__main__":
       deployment.apply()

### Explanation: - Importing Modules: The necessary Prefect modules and schedule types are imported. - Defining Flow: A simple flow is defined. - Creating Deployment with Schedule: The deployment is created with a specified

CronSchedule

. The example schedules the flow to run every day at noon in the

America/New_York

timezone. - Applying the Deployment: The deployment is applied to Prefect. Here's another example using `IntervalSchedule`: ### Example: Using IntervalSchedule

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python
from datetime import timedelta
from prefect import flow
from prefect.deployments import Deployment
from prefect.client.schemas.schedules import IntervalSchedule

@flow
def my_flow():
    print("This is my flow running")

interval_schedule = IntervalSchedule(
    interval=timedelta(hours=1),  # Every hour
    anchor_date="2023-01-01T00:00:00Z"  # Starting from this date
)

deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-interval-deployment",
    schedule=interval_schedule
)

if __name__ == "__main__":
    deployment.apply()

### Resources: - Schedules in Prefect Documentation By using the

schedules

attribute in the

Deployment.build_from_flow

, you can easily set up complex scheduling for your Prefect flows programmatically. This flexibility allows for cron-based, interval-based, or even more intricate schedules based on your needs.

Giacomo Chiarella

06/21/2024, 8:43 AM

@Marvin when I get http status code 400 using Prefect api I do not see any log in Orion. What can I do?

Marvin

06/21/2024, 8:43 AM

When encountering an HTTP status code 400 (Bad Request) using the Prefect API, and not seeing any corresponding log in Orion, you can take the following steps to troubleshoot and enable detailed logging: ### Steps to Enable Detailed Logging: 1. Set Logging Level to DEBUG: Increase the verbosity of the logs by setting the logging level to

DEBUG

. This helps capture more details about each request and response. - Using the Prefect CLI:

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bash
     prefect config set PREFECT_LOGGING_LEVEL=DEBUG

- Using Environment Variables:

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bash
     export PREFECT_LOGGING_LEVEL=DEBUG

2. Restart the Prefect Server: After setting the logging level, restart your Prefect server to apply the new logging settings. 3. Check Logs Again: Retry making the request that results in a 400 error and then check the logs. The increased logging level should capture more details about what might be causing the error. ### Useful Commands for Checking Configuration: - View Current Configuration:

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bash
  prefect config view

- Show Default Configuration Values:

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bash
  prefect config view --show-defaults

### Further Steps: If enabling debugging logs does not resolve the issue, consider the following: - Check Request Payload: Ensure that the request payload conforms to the expected format per the Prefect API documentation. A 400 error is commonly due to malformed request data. - Inspect Server Logs: Depending on how your Prefect server is running (e.g., using Docker), inspect the logs for any additional errors or warnings:

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bash
  docker logs <prefect-server-container-id>

- Network and Proxies: Ensure there are no network issues or proxies interfering with the request. Sometimes proxies can alter the request, leading to unexpected outcomes. ### References: - Troubleshooting Guide - Connecting to Prefect Cloud - Logging Configuration By following these steps, you should be able to get more detailed logs in Orion regarding the 400 error responses, allowing you to better understand and resolve the issue.

Giacomo Chiarella

06/21/2024, 8:47 AM

@Marvin if I set PREFECT_LOGGING_LEVEL=INFO, will I see errors and warnings also?

Marvin

06/21/2024, 8:48 AM

Yes, setting

PREFECT_LOGGING_LEVEL=INFO

will still allow you to see errors and warnings in the logs. The logging levels in Prefect are hierarchical. Here's a brief overview of the logging levels: - DEBUG: Captures detailed information for diagnostics. - INFO: Informational messages that highlight the progress of the application. This includes all

INFO

WARNING

ERROR

, and

CRITICAL

messages. - WARNING: Indicates potentially harmful situations. Includes all

WARNING

ERROR

, and

CRITICAL

messages. - ERROR: Captures error events that might still allow the application to continue running. Includes all

ERROR

and

CRITICAL

messages. - CRITICAL: Captures very severe error events that could lead the application to abort. ### Setting Logging Level to INFO:

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bash
export PREFECT_LOGGING_LEVEL=INFO

### Confirmation: - INFO level includes: - Informational messages (

INFO

). - Warnings (

WARNING

). - Error messages (

ERROR

). - Critical messages (

CRITICAL

). ### References: - Logging Configuration By setting the logging level to

INFO

, you should still see all errors and warnings in addition to informational messages. This provides a balanced amount of logging detail, capturing significant events without overwhelming you with debug-level details.

Giacomo Chiarella

06/21/2024, 8:56 AM

@Marvin how do I debug

PrefectHTTPStatusError: Client error '400 Bad Request'

error when I use read_deployments python functions?

Marvin

06/21/2024, 8:56 AM

To debug a

PrefectHTTPStatusError: Client error '400 Bad Request'

when using the

read_deployments

function in Prefect, follow these steps: ### Steps to Debug: 1. Enable Debug Logging: - Set the logging level to

DEBUG

to get detailed logs which can help identify the root cause of the issue.

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bash
     export PREFECT_LOGGING_LEVEL=DEBUG

2. Check Request Payload: - A 400 Bad Request error usually indicates that the server cannot process the request due to client-side errors. Ensure that the request payload conforms to the API's expected format. - Inspect the parameters you are passing to

read_deployments

. 3. Verify URL and Parameters: - Ensure that the API endpoint and any query parameters you are using are correct and meet the API specifications. ### Example Code for Debugging: Here is an example that incorporates detailed logging and checks request payloads:

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python
import logging
import prefect
from prefect.client.orchestration import PrefectClient

# Set logging level to DEBUG
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)

# Debugging function using PrefectClient
async def debug_read_deployments():
    async with PrefectClient() as client:
        try:
            deployments = await client.read_deployments()
            <http://logger.info|logger.info>(f"Deployments: {deployments}")
        except prefect.exceptions.PrefectHTTPStatusError as e:
            logger.error(f"HTTP Status Error: {e}")
            logger.debug(f"Response: {e.response.content}")

if __name__ == "__main__":
    import asyncio
    asyncio.run(debug_read_deployments())

### Additional Steps: 4. Inspect Server Logs: - Check the server logs to see if there are additional details about why the request was rejected. If you are hosting your own Prefect server, access the logs on your server.

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bash
     docker logs <prefect-server-container-id>

5. API Documentation: - Refer to the Prefect API documentation to ensure that all required parameters are provided correctly and the payload structure is accurate. - Prefect API Reference 6. Use Curl for Testing: - You can use curl or similar tools to manually make requests to the API to pinpoint what might be going wrong. This can help isolate whether the issue is in your Python code or the API call itself.

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bash
     curl -X GET -H "Authorization: Bearer $PREFECT_API_KEY" "<http://localhost:4200/api/deployments/>"

### References: - Prefect Logging - Prefect Troubleshooting Guide By following these steps, you can obtain detailed information about the error, verifying request payloads, checking server logs, and ensuring that your request meets the API’s specifications. This should help identify and resolve the issue causing the

400 Bad Request

error.

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