I have parquet files stored in a google cloud bucket, I want to view and process that data using polars in python

I am able to download the parquet file into a polars dataframe by doing the following:

• I get the files using the google cloud storage client:

files_iterator = storage.Client().get_bucket("bucketname").list_blobs()
files = []
for file in files:
     files.append(file)

• I get the gsutil uri (thanks stack overflow):

uri = 'gs://' + file.id[:-(len(str(file.generation)) + 1)]

• I read in the file:

import polars as pl

pl.read_parquet(uri)

This works perfectly, except for a file which contains a space in the path. My code returns the same gsutil URI that I can see in the GCP console, which encodes the space with a %20:
gs://bucketname/long_path/a_key=a_value/another_key=somethingp_respace%20something_afteraspace/0.parquet

pl.read_parquet gives a 404 for this. I’ve tried other encodings (+, backslash, %2520) to no avail.

Only possible workaround I have found is to download the blob file as bytes and then pass that into read_parquet, however then there is no metadata included in the dataframe, which I need.

Appreciate any help, thank you!!