## OpenDataDiscovery Action for handling Great Expectations tests results.
[](https://badge.fury.io/py/odd-great-expectations)
# What is it?
`odd_great_expectation.action.ODDAction`
Is a class derived from GX `ValidationAction` which will be run by GreatExpectations at runtime with `ValidationResult`s for checkpoint.
# How to use it?:
Install `odd-great-expectations` package
```bash
pip install odd-great-expectations
```
Add `ODDAction` action to some checkpoint's action list:
```yaml
name: <CHECKPOINT_NAME>
config_version: 1.0
...
action_list:
# other actions
- name: store_metadata_to_odd
action:
module_name: odd_great_expectations.action
class_name: ODDAction
platform_host: <PLATFORM_HOST>
data_source_name: <DATA_SOURCE_NAME>
```
Parameters:
`platform_host` - Location of OpenDataDiscovery platform, i.e. http://localhost:8080
`platform_token` - OpenDataDiscovery token, how to get it - https://docs.opendatadiscovery.org/configuration-and-deployment/trylocally#create-collector-entity
`data_source_name` - Unique name for data source, i.e. local_qa_test
Both `platform_host` and `platform_token` can be set using `ODD_PLATFORM_HOST` and `ODD_PLATFORM_PLATFORM` env variables accordingly.
Run checkpoint
```bash
great_expectations checkpoint run <CHECKPOINT_NAME>
```
Check results on `PLATFORM_HOST` UI.
## Supporting features
| Feature | Supporting |
| --------------------------- | ---------- |
| V3 API + | + |
| SqlAlchemyEngine | + |
| PandasEngine | + |
| Great Expectations V2 API - | - |
| Cloud Solution | - |
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