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Comments (6)

kurtbrose avatar kurtbrose commented on May 17, 2024

Hmmm.... there is the type registration capability...

>>> from glom import *
>>> import xml.etree.ElementTree as ET
>>> annoying_xml = """<?xml version="1.0" encoding="UTF-8"?>
... <kml xmlns="http://www.opengis.net/kml/2.2">
...   <Placemark>
...     <name>Simple placemark</name>
...     <description>Attached to the ground. Intelligently places itself
...        at the height of the underlying terrain.</description>
...     <Point>
...       <coordinates>-122.0822035425683,37.42228990140251,0</coordinates>
...     </Point>
...   </Placemark>
... </kml>
... """
>>> e = ET.fromstring(annoying_xml)
>>> g = Glommer()
>>> g.register(type(e), iterate=type(e).iter)
>>> g.glom(e, T[0][2][0].text)
'-122.0822035425683,37.42228990140251,0'

that's kind of along the right lines

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mahmoud avatar mahmoud commented on May 17, 2024

@kurtbrose Actually the registration can be as simple as: g.register(type(e))

glom now detects whether a type supports iteration automatically.

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roryhr avatar roryhr commented on May 17, 2024

Let me give an actual use case: I have many Placemarks and want each to be a row in a table. It'd be great to get the elegance of the PySpark DataFrame without the Spark dependency but once I have a DataFrame Spark can work its magic.

df = (spark.read
    .format('com.databricks.spark.xml')
    .options(rowTag='Placemark')
    .load('file:/more_annoying_xml.kml')
)

df.printSchema()
# root
#  |-- Point: struct (nullable = true)
#  |    |-- altitudeMode: string (nullable = true)
#  |    |-- coordinates: string (nullable = true)
#  |-- TimeStamp: struct (nullable = true)
#  |    |-- when: string (nullable = true)
#  |-- description: string (nullable = true)
#  |-- name: string (nullable = true)


df.select('Point.coordinates', 'TimeStamp.when', 'name').printSchema()
# root
#  |-- coordinates: string (nullable = true)
#  |-- when: string (nullable = true)
#  |-- name: string (nullable = true)

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mahmoud avatar mahmoud commented on May 17, 2024

Hey Rory, thanks for your patience, I've been running a bit behind lately.

I think glom itself can provide only about half of what you want. The other half is going to have to come from a library that gives us a better XML API. Here's how I would do that, using a neat library called untangle.

$ pip install untangle glom

Then:

import untangle
from glom import glom, T

annoying_xml = """<?xml version="1.0" encoding="UTF-8"?>
<kml xmlns="http://www.opengis.net/kml/2.2">
  <Placemark>
    <name>Simple placemark</name>
    <description>Attached to the ground. Intelligently places itself 
       at the height of the underlying terrain.</description>
    <Point>
      <coordinates>-122.0822035425683,37.42228990140251,0</coordinates>
    </Point>
  </Placemark>
</kml>
"""

ut = untangle.parse(annoying_xml)

glom(ut, {'coords': (T.kml.Placemark.Point.coordinates.cdata, T.split(','), [float]),
         'name': T.kml.Placemark.name.cdata})
# result:
# {'coords': [-122.0822035425683, 37.42228990140251, 0.0], 
#  'name': u'Simple placemark'}

Threw in a little bit of coordinate transformation in there at the end. Is that closer to what you expected?

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roryhr avatar roryhr commented on May 17, 2024

Yeah! This is great. Thanks

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mahmoud avatar mahmoud commented on May 17, 2024

Glad you like it! Closing this case for now :)

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