Datacube listing products fails 'Platform not in index'

Question

ODC installation, Indexing and Ingestion complete for LANDSAT-8 SR products. Now trying to execute notebooks for Cloud statistics computation using data_cube_notebooks Responses of Notebook Cells included below:

#Get available products
products_info = dc.list_products()
print(products_info)

name                               
LS8_Ingested        
LS8_Ingested 

name description license
LS8_Ingested     Landsat 8 USGS Collection 1 Higher Level SR sc...    None
ls8_l2_c1_scene  Landsat 8 USGS Collection 1 Higher Level SR sc...    None 

name default_crs default_resolution                                                   
LS8_Ingested           None               None  
ls8_l2_c1_scene        None               None

Product definition is loaded from verified already available yaml files. Glimpse attached:

name: ls8_l2_c1_scene
description: Landsat 8 USGS Collection 1 Higher Level SR scene proessed using LaSRC. 30m UTM based projection.
metadata_type: eo

metadata:
    platform:
        code: LANDSAT_8
    instrument:
        name: OLI_TIRS
    product_type: LaSRC
    format:
        name: GeoTiff

Trying to list products:

# List LANDSAT 8 products
print("LANDSAT 8 Products:")
products_info[["platform", "name"]][products_info.platform == "LANDSAT_8"]

KeyError: "['platform'] not in index"

1. Output of 'dc.list_products()' is dataframe with index(['name', 'description', 'license', 'default_crs', 'default_resolution'], dtype='object'). Surely there is no platform in index. How to add it then in index?

Answer 1

Those notebooks are quite out of date. You can use it as an example, and adapt to your needs.

If you have an up to date version of Datacube, doing this will print a nice list of products and their respective information:

import datacube
dc = datacube.Datacube()

dc.list_products()

Another minor concern I have is that you're using Collection 1 data with EO metadata. Collection 2 has been out for a while, and EO3 metadata types are more common. What you're doing will work, though.