# 🧊 datacube

`datacube`s are items from [collections](../catalog/) that are represented by children of [`GenericDatacube`](../../catalog/generic/datacube.py) and can be [ingested](#ingesting-a-datacube) as [objects](https://kamangir-public.s3.ca-central-1.amazonaws.com/giza-v1/giza.pdf).

## adding a new datacube class

1️⃣ add the [catalog](../catalog/README.md#adding-a-new-catalog).

2️⃣ clone [blue_geo/catalog/generic/generic](../catalog/generic/generic/) similar to [blue_geo/catalog/copernicus/sentinel_2](../catalog/copernicus/sentinel_2/) and define `NovelDatacube`.

3️⃣ add `NovelDatacube` to [blue_geo/catalog/classes.py](../catalog/classes.py).

## ingesting a datacube

run `@datacube ingest`  or use [`@catalog query <catalog> <collection> ingest`](../catalog/). 

```bash
> @datacube ingest help
@datacube ingest \
	[~copy_template,dryrun,overwrite,upload,what=all|metadata|quick|<suffix>] \
	[.|<datacube-id>] \
	[<args>]
 . ingest <datacube-id>.
   all: ALL files.
   metadata (default): any < 1 MB.
   quick: around 200 MB, decided by the datacube class.
   suffix=<suffix>: any *<suffix>.
```