paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-907446505
@msumit Can you please tell me, is it possible in params to draw the output
in the form of yaml, not json? in UI
--
This is an automated message from the Apache Git Service.
To r
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-862233347
Is it possible somehow to save the values passed to params to disk?
I can imagine that we can prepare a dictionary for params using a function
(not tested yet).
```
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861710889
is there a way to pass DAG parameters without explicitly specifying them in
the call string?
or am I misunderstanding something
--
This is an automated message from the Apache
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861560975
like
```
t2 = BashOperator(
task_id='run test',
depends_on_past=False,
bash_command="python3.7 test.py params.config_file={{
}}",
)
```
--
This
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861559954
can I somehow save these parameters to a file?
I would then make an additional task in the DAG, which would deal with the
saving of parameters to a file and then in the very star
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861558698
and do the same with all the other parameters ..
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
UR
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861556833
so far it has come to mind that it will be necessary to specify each
parameter in the launch parameters, like params['clustering']['high'] :
```
params = {
"clusterin
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861553714
my smale config .yaml
```
project_name: "QL/SGOB/"
experiment:
dataset: &dataset_name "data_test_5e5"
name: &experiment_name "medium_size_clustering_estima
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861551968
tnx, cool!
@msumit
if i want to use python code and put all possible parameters here?
these parameters are about 200
Will these parameters need to be passed each
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861520924
@potiuk please tell me, but you can display the parameters in .yaml format
and not in .json?
--
This is an automated message from the Apache Git Service.
To respond to the me
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861515569
@potiuk as I figure it out, I would gladly add it)
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861513394
@msumit
looks interesting!
please tell me, do you have an example of how to call/use this in the python
code?
--
This is an automated message from the Apache Git Service.
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-861512069
:slowpoke:
I apologize, I did not understand correctly, unfortunately, now I do not
fully understand what is needed to display the default parameters.
The easiest option for m
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860568791
@potiuk for PR i need creat new issue "Feature request"? or create
https://github.com/apache/airflow/pulls?
--
This is an automated message from the Apache Git Service.
To respon
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860565017
I will try to arrange it
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860561346
take out = edited to config params
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860561089
I want to take out all the potentially changeable parameters in the UI so
that we can change them if needed.
--
This is an automated message from the Apache Git Service.
To r
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860558487
I have not found such an example of how to do this, as in Perfect or DVC
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to G
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860558123
@potiuk
then another question is, can we configure that the current default
parameters are displayed in this UI window, with which the DAG will be launched?
--
This is an aut
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860556828
Do you have an example of passing these values as arguments to Python code?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log
paantya commented on issue #16430:
URL: https://github.com/apache/airflow/issues/16430#issuecomment-860555091
@potiuk As I understand it, this can only be used in the operator template
field, but not in python code, passing parameters to models.
Or did I get it wrong? and do you have an
21 matches
Mail list logo