support querying polars lazyframes

[universalmind303]

Description

currently I can query polars eager dataframes

import glaredb
import polars as pl

df = pl.DataFrame(
    {
        "A": [1, 2, 3, 4, 5],
        "fruits": ["banana", "banana", "apple", "apple", "banana"],
    }
)
con = glaredb.connect()

df = con.sql("select * from df where fruits = 'banana'").to_polars()
print(df)
con.close()

but I can't query lazyframes

lf = df.lazy()
df = con.sql("select * from lf where fruits = 'banana'").to_polars()
print(df)
con.close()

[universalmind303]

I was thinking we could use substrait to convert the LP to a datafusion LP, but this does require implementing to/from substrait in polars as well. pola-rs/polars#7404

We could also just parse the logicalplan directly to datafusion LP, but that seems like something that could greatly benefit others as well, so I think it'd make sense to find some way make that shareable (like going through substrait).