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Should Quickinfo output the same metadata key-values that a pdal info --summary call would? #193
Description
A quickinfo call returns a set group of key-value pairs, when PDAL's metadata collection and output are not so defined. Should the output from pdal info --summary on the command line be the same as a pipeline.quickinfo in python?
For example, I need the STAC Ids from an ItemCollection that matches the params I have.
A call to pdal info --summary --driver readers.stac on the command line might look like this:
$pdal info --summary --driver readers.stac --debug --readers.stac.asset_names 'ept.json' --readers.stac.item_ids '^(USGS_LPC_){0,1}MI_\w{0,}' https://s3-us-west-2.amazonaws.com/usgs-lidar-stac/ept/item_collection.json
{
"file_size": 16899552,
"filename": "https://s3-us-west-2.amazonaws.com/usgs-lidar-stac/ept/item_collection.json",
"now": "2025-06-30T10:15:52-0500",
"pdal_version": "2.8.4 (git-version: Release)",
"reader": "readers.stac",
"summary":
{
"bounds":
{
"maxx": -9173467,
"maxy": 6020840,
"maxz": 400344,
"minx": -10066325,
"miny": 5113087,
"minz": -4503
},
"dimensions": "Classification, EdgeOfFlightLine, GpsTime, Intensity, KeyPoint, NumberOfReturns, Overlap, PointSourceId, ReturnNumber, ScanAngleRank, ScanChannel, ScanDirectionFlag, Synthetic, UserData, Withheld, X, Y, Z, OriginId, Pulse width, Blue, Green, Red",
"metadata":
{
"ids":
[
"MI_31Co_Barry_2016",
"MI_31Co_ChippewaCo_TL_2017",
...
],
"item_ids":
[
"MI_31Co_Barry_2016",
"MI_31Co_ChippewaCo_TL_2017",
...
]
},
"num_points": 768598386500
}
}
If I do the equivalent call in pdal-python with this call and output:
>>> reader = pdal.Reader.stac(filename='https://s3-us-west-2.amazonaws.com/usgs-lidar-stac/ept/item_collection.json', item_ids=['^(USGS_LPC_){0,1}MI_\\w{0,}'], asset_names=['ept.json'])
>>> p = reader.pipeline()
>>> qi = p.quickinfo
>>> qi['readers.stac']
{'bounds': {'maxx': -9173467, 'maxy': 6020840, 'maxz': 400344, 'minx': -10066325, 'miny': 5113087, 'minz': -4503}, 'dimensions': 'Classification, EdgeOfFlightLine, GpsTime, Intensity, KeyPoint, NumberOfReturns, Overlap, PointSourceId, ReturnNumber, ScanAngleRank, ScanChannel, ScanDirectionFlag, Synthetic, UserData, Withheld, X, Y, Z, OriginId, Pulse width, Blue, Green, Red', 'num_points': 1537196773000}
Activity
hobu commentedon Jul 7, 2025
Your example fails for me.