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<@ULVA73B9P> how can i make sure that I do not sen...
# ask-marvin
s
@Marvin how can i make sure that I do not send logs to prefect from my flow runs. Do i edit settings in my workpool? i tried setting log_print=false
m
To prevent sending logs from your flow runs to Prefect, you should adjust the logging settings rather than modifying the work pool configuration. Specifically, you can disable logging to the API by setting the 
PREFECT_LOGGING_TO_API_ENABLED
environment variable to 
False
or by configuring it in your settings file with the TOML dotted path 
logging.to_api.enabled
. Here's a concise way to achieve this: 1. Set the environment variable:
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bash
   export PREFECT_LOGGING_TO_API_ENABLED=False
2. Alternatively, if you use a settings file, add:
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toml
   [logging.to_api]
   enabled = false
The 
log_print
parameter you mentioned does not control API logging; instead, focus on the 
logging.to_api.enabled
setting. For more details, you can refer to the Prefect Settings Reference. Let me know if you need further assistance!
s
in my flow deployment can i set the env somehow so it does not send any logs? dev_id = await upload_dod_mtr_slow_route_corridor.deploy( name=“upload_dod_mtr_slow_route_corridor_dev”, work_pool_name=“geospatial_etl_work_pool_dev”, image=“gcr.io/blumen-378818/geospatial-etl:dev”, push=False, build=False, tags=[“geospatial”, “dev”, “duckdb”, “scrape”], schedule=CronSchedule(cron=dev_cron, timezone=“America/New_York”), )
@Marvin in my flow deployment can i set the env somehow so it does not send any logs? dev_id = await upload_dod_mtr_slow_route_corridor.deploy( name=“upload_dod_mtr_slow_route_corridor_dev”, work_pool_name=“geospatial_etl_work_pool_dev”, image=“gcr.io/blumen-378818/geospatial-etl:dev”, push=False, build=False, tags=[“geospatial”, “dev”, “duckdb”, “scrape”], schedule=CronSchedule(cron=dev_cron, timezone=“America/New_York”), )
m
To ensure that your flow deployment does not send logs, you can set environment variables directly in the deployment configuration. You can achieve this by specifying the environment variables in your deployment's 
env
field. Here's how you can do it: 1. Using a 
prefect.yaml
file: Add a 
job_variables
section to your deployment definition in the 
prefect.yaml
file and include the environment variable 
PREFECT_LOGGING_TO_API_ENABLED
set to 
False
.
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yaml
   job_variables:
     env:
       PREFECT_LOGGING_TO_API_ENABLED: "False"
2. Using the Python 
deploy
method: You can pass environment variables directly in the deployment configuration. Unfortunately, the specific syntax for setting environment variables isn't directly shown in the documentation excerpt, but you can typically set them using a similar approach to the 
prefect.yaml
file by specifying them in a dictionary.
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python
   dev_id = await upload_dod_mtr_slow_route_corridor.deploy(
       name="upload_dod_mtr_slow_route_corridor_dev",
       work_pool_name="geospatial_etl_work_pool_dev",
       image="<http://gcr.io/blumen-378818/geospatial-etl:dev|gcr.io/blumen-378818/geospatial-etl:dev>",
       push=False,
       build=False,
       tags=["geospatial", "dev", "duckdb", "scrape"],
       schedule=CronSchedule(cron=dev_cron, timezone="America/New_York"),
       env={"PREFECT_LOGGING_TO_API_ENABLED": "False"}
   )
This will ensure that the 
PREFECT_LOGGING_TO_API_ENABLED
environment variable is set to 
False
, preventing logs from being sent to the Prefect API during your flow runs. For more details, you can refer to the Prefect Deployment Customization.
s
this still sent logs hedule=CronSchedule(cron=dev_cron, timezone=“America/New_York”), job_variables={“PREFECT_LOGGING_TO_API”: “False”}, ) @Marvin
m
To ensure logs are not sent to the Prefect API from your flow runs, you should use the correct environment variable 
PREFECT_LOGGING_TO_API_ENABLED
and ensure it is set to 
False
. It seems there was a slight mistake in your example. Here's how you can set this correctly in your deployment: 1. Using the 
job_variables
in the 
deploy
method:
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python
   dev_id = await upload_dod_mtr_slow_route_corridor.deploy(
       name="upload_dod_mtr_slow_route_corridor_dev",
       work_pool_name="geospatial_etl_work_pool_dev",
       image="<http://gcr.io/blumen-378818/geospatial-etl:dev|gcr.io/blumen-378818/geospatial-etl:dev>",
       push=False,
       build=False,
       tags=["geospatial", "dev", "duckdb", "scrape"],
       schedule=CronSchedule(cron=dev_cron, timezone="America/New_York"),
       job_variables={
           "env": {
               "PREFECT_LOGGING_TO_API_ENABLED": "False"
           }
       }
   )
2. Using a 
prefect.yaml
file:
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yaml
   job_variables:
     env:
       PREFECT_LOGGING_TO_API_ENABLED: "False"
Make sure you use the exact environment variable 
PREFECT_LOGGING_TO_API_ENABLED
and set it correctly in your deployment configuration. If you continue to experience issues, double-check the deployment environment to ensure this setting is applied correctly. For more information, you can check the Prefect Settings Reference.
s
@Marvin this still send logs to the UI
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"PREFECT_LOGGING_TO_API_ENABLED": "False"
}
m
It seems there might be a misunderstanding in the application of the environment variable. The correct environment variable to prevent logs from being sent to the Prefect API or UI is indeed 
PREFECT_LOGGING_TO_API_ENABLED
. However, it should be set as a boolean, not a string. Here's how you can correctly configure it: 1. Ensure the Environment Variable is Set Correctly: When setting the environment variable, make sure it is interpreted as a boolean:
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python
   dev_id = await upload_dod_mtr_slow_route_corridor.deploy(
       name="upload_dod_mtr_slow_route_corridor_dev",
       work_pool_name="geospatial_etl_work_pool_dev",
       image="<http://gcr.io/blumen-378818/geospatial-etl:dev|gcr.io/blumen-378818/geospatial-etl:dev>",
       push=False,
       build=False,
       tags=["geospatial", "dev", "duckdb", "scrape"],
       schedule=CronSchedule(cron=dev_cron, timezone="America/New_York"),
       job_variables={
           "env": {
               "PREFECT_LOGGING_TO_API_ENABLED": False  # Note the use of a boolean value
           }
       }
   )
2. Check Your Deployment Environment: Make sure that the deployment environment correctly recognizes and applies this setting. Sometimes, deployment environments might not interpret certain configurations as expected, especially if they are set in a way that could be interpreted as a string. 3. Verify on Prefect UI: Double-check on the Prefect UI under the deployment's configuration to ensure that the environment variable is set as intended. If you continue to encounter issues, consider checking the Prefect documentation for any updates or specific nuances related to your deployment method or environment. You can refer to the Prefect Logging Documentation for more details.
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