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wjandrea opened this issue Dec 8, 2023 · 5 comments · Fixed by #56802
Closed

Whole JSON gets dumped from error in _pull_records() #56405

wjandrea opened this issue Dec 8, 2023 · 5 comments · Fixed by #56802
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Enhancement Error Reporting Incorrect or improved errors from pandas

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@wjandrea
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wjandrea commented Dec 8, 2023

This error message shows the entire JSON, then the erroring part, both of which can be very large.

raise TypeError(
f"{js} has non list value {result} for path {spec}. "
"Must be list or null."
)

Example:

url = 'https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol=IBM&interval=5min&apikey=demo'
r = requests.get(url)
data = r.json()

meta = pd.json_normalize(data, 'Meta Data')

Error (clipped for readability):

Traceback (most recent call last):

  Cell In[50], line 1
    meta = pd.json_normalize(data, 'Meta Data')

  File pandas/io/json/_normalize.py:519 in json_normalize
    _recursive_extract(data, record_path, {}, level=0)

  File pandas/io/json/_normalize.py:501 in _recursive_extract
    recs = _pull_records(obj, path[0])

  File pandas/io/json/_normalize.py:431 in _pull_records
    raise TypeError(

TypeError: {'Meta Data': {'1. Information': 'Intraday (5min) open, high, low, close prices and volume', '2. Symbol': 'IBM', '3. Last Refreshed': '2023-12-07 19:55:00', '4. Interval': '5min', '5. Output Size': 'Compact', '6. Time Zone': 'US/Eastern'}, 'Time Series (5min)': ...} has non list value {'1. Information': 'Intraday (5min) open, high, low, close prices and volume', '2. Symbol': 'IBM', '3. Last Refreshed': '2023-12-07 19:55:00', '4. Interval': '5min', '5. Output Size': 'Compact', '6. Time Zone': 'US/Eastern'} for path Meta Data. Must be list or null.

(Here I've clipped the 'Time Series (5min)' value, but it takes up an order of magnitude more space.)

I believe the error could be changed to simply:

raise TypeError(f"non list value for path {spec}. Must be list or null.")

Then if you need more information, you can inspect data[spec].

Although, that wouldn't be ideal for cases where you've inlined the data retrieval, like pd.json_normalize(requests.get(url).json(), 'Meta Data').

@mroeschke mroeschke added Enhancement Error Reporting Incorrect or improved errors from pandas labels Dec 8, 2023
@mroeschke
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Thanks for the report. Maybe

raise TypeError(f"{spec} contains {type(result).__name__}. Must be list or null.")

to at least inform of the type present that isn't a list or null

@wjandrea
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wjandrea commented Dec 8, 2023

Yes, great idea. I'd add back the word "path" since "spec" isn't mentioned in the docs.

And while we're here, spec should probably be printed as repr instead of str, so:

raise TypeError(f"path {spec!r} contains {type(result).__name__}. Must be list or null.")

which would be in this case:

TypeError: path 'Meta Data' contains dict. Must be list or null.

@wjandrea
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wjandrea commented Dec 8, 2023

Or you might want to move the path to the end in case it too is bulky:

raise TypeError(f"path must contain list or null, but got {type(result).__name__} at {spec!r}")

@mroeschke
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I think your suggestion in #56405 (comment) looks good. Happy to have a PR!

@rmhowe425
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take

mroeschke pushed a commit that referenced this issue Jan 10, 2024
…56802)

change the prompt on non list record path errors
pmhatre1 pushed a commit to pmhatre1/pandas-pmhatre1 that referenced this issue May 7, 2024
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3 participants