fix: raise ValueError if date is out-of-bounds #46
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google-cla
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cla: yes
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api: bigquery
tswast
commented
Dec 3, 2021
| @@ -216,6 +216,7 @@ def types_mapper( | |||
| ], | |||
| type=pyarrow.time64("ns"), | |||
| ), | |||
| id="time-nanoseconds-arrow-round-trip", | |||
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Leftover from debugging why when I made the "time" _datetime method return a Timestamp too, this broke. Since that change isn't necessary and it broke this test I reverted it. Kept the test id, since I thought it was useful.
tswast
commented
Dec 3, 2021
| minute=int(minute) if minute else 0, | ||
| second=int(second) if second else 0, | ||
| nanosecond=nanosecond, | ||
| ).to_datetime64() |
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Probably should have been a separate PR, but I noticed _datetime had inconsistent types (sometimes pandas.Timestamp, sometime datetime.datetime, sometime numpy.datetime64). We want a numpy.datetime64 in the end, so I unified it.
plamut
approved these changes
Dec 4, 2021
| @@ -216,6 +216,7 @@ def types_mapper( | |||
| ], | |||
| type=pyarrow.time64("ns"), | |||
| ), | |||
| id="time-nanoseconds-arrow-round-trip", | |||
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Fixes #45 🦕
Edit: Maybe should be just "Towards" #45 because I think we still need some way to support out-of-range values so that I can load DATE values when using the conversion logic googleapis/python-bigquery-pandas#441