**kwargs
parameter in your block
function.
metadata.yaml
file.
variables
arguments as follows:
ENV=dev, ENV=staging, ENV=prod
which can be leveraged to indicate the execution environment.
A simple python fucntion can then be used to access the variables:
execution_date
: A datetime object that the pipeline is executed at.event
: If the pipeline is triggered by event, the event
variable contains
the event payload.mage_ai.run()
:
log_date | type | source |
---|---|---|
2022-07-27T20:19:20 | INFO | react-1 |
2022-07-27T19:18:45 | WARNING | express-2 |
2022-07-27T16:35:28 | DEBUG | react-1 |
2022-07-27T10:19:32 | INFO | express-1 |
2022-07-27T07:20:26 | ERROR | express-1 |
2022-07-27T00:42:37 | ERROR | react-1 |
**kwargs
parameter.
DEBUG | ERROR | INFO | WARNING | |
---|---|---|---|---|
2022-07-28 | 816 | 765 | 828 | 871 |
mage_ai.run()
, providing the current date and log folder as keyword arguments:
launch_id | angle | vertical_velocity |
---|---|---|
1 | 28.4 | 61.34 |
2 | 14.4 | 32.03 |
3 | 61.4 | 113.19 |
4 | 44.2 | 89.96 |
5 | 39.5 | 82.00 |
6 | 79.3 | 126.73 |
7 | 74.9 | 124.51 |
8 | 38.1 | 79.6 |
pi
runtime variable (passed in through
**kwargs
) to convert the degrees column of some input data frame to a radians.
This allows us to control the precision with which we want to store pi
.
conversion_factor
(again passed in through **kwargs
), the vertical velocity
in kilometers per hour can be computed:
mage_ai.run()
. Specify values for runtime variables as keyword arguments to
this function: