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Fix issue #36271 to disambiguate json string #36273
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8c40f23
Fix issue #36271 to disambiguate json string
tbachlechner e5777f4
BUG: pd.read_json() fails for strings that look similar to fsspec_url…
tbachlechner ed49bfe
fixed duplicate test_is_fsspec_url()
tbachlechner 0d7e063
Update common.py
tbachlechner 3706d18
check if url is a json string
tbachlechner 210d659
Test test_is_fsspec_url() interprets json as URL
tbachlechner 6b2c98c
Update test_common.py
tbachlechner 6019978
Update common.py
tbachlechner def1881
use regex to check for json in url
tbachlechner 943f644
simplify is_json
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@martindurant
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A space is allowed in URLs for at least some storage systems
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Thanks, any other ideas how to fix #36271 ? All my json strings with URLs in them receive errors and I downgraded to pandas==1.0.5
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So, a space isn't necessary for valid JSON either. Perhaps the only way to tell is to try to parse the string?
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I updated the PR to reflect what you say, I'm now trying to parse the string as json and if it succeeds, it's not a URL. How about that?
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Sounds reasonable to me - I don't expect any URL is also valid JSON. You could conceivable make a regex to check for JSON-ness (
"^\s*[\[{]"
maybe?), but probably calling JSON decode is faster and more correct.(I simply didn't know that you can pass a string directly to read_json, as opposed to a StringIO file-like)