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Remove date limits imposed by Python's datetime module to support BC and far-future dates #26
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jmurty
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Remove date limits imposed by Python's datetime module
Remove date limits imposed by Python's datetime module to support BC and far-future dates
Apr 13, 2018
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Apr 13, 2018
Permit processing and representation of years before 1 AD and after 999 AD by removing use of Pyhon's `datetime` and related modules, which are limited to these years. This changes the public API so the following methods return `struct_time` objects instead of `date` or `datetime` objects: `lower_strict()`, `upper_strict()`, `lower_fuzzy()`, `upper_fuzzy()` Details: - stop using `datetime` modules internally when parsing and processing EDTF syntax - change `_strict_date()` and all dependent methods to return `struct_time` instead of objects from the `datetime` module. This affects public API methods listed above - remove deliberate coercion of out-of-date year values to `date.min` and `date.max` boundaries - update tests to exercise broader date ranges
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Apr 13, 2018
The `struct_time` fields tm_wday, tm_yday, tm_isdst are not supported by this library because we cannot reliably generate them for years outside 1 AD to 9999 AD, therefore we ignore these fields in comparison methods when a `struct_time` object is provided.
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Apr 13, 2018
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Apr 13, 2018
- explain the switch from `datetime` module objects to using `time.struct_time` as responses to upper/lower strict/fuzzy methods - update example code to reflect the change - remove reference to `date.MIN` and `date.MAX` restrictions.
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Apr 13, 2018
The change to returning `struct_time` objects from the lower/upper strict/fuzzy methods broke the `EDTFField` implementation. This change fixes it so it can write to derived `DateField`s again, though this is still subject to the 1 to 9999 AD year restrictions of Python's `datetime` module so a better fix would be to support or require numeric target fields instead.
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Apr 13, 2018
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Apr 16, 2018
Fixed bug where target field was not properly looked-up, and therefore not recognised correctly.
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Apr 17, 2018
Add the python module `jdutil` with many useful date conversions, including conversion from arbitrary dates/times to a numerical floating-point representation that can be easily stored in databases and other systems where we need easy and reliably sorting and comparison of arbitrary dates. Note that I chose this module over other library options available for Python because in my testing it did the best job of keeping accuracy for extreme dates (like year +-999,999,999) while also generating using a number that is easier to store than the two-float representation often used for Julian dates. Source: https://gist.github.com/jiffyclub/1294443 Credit to: Matt Davis, http://github.com/jiffyclub
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Apr 17, 2018
Update `EDTFField` to store derived upper/lower static/float dates as float values when these fields are defined as `DoubleField` in the target model. This change permits representation of arbitrary dates not limited to 1 to 9999 AD like the alternative `DateField` target fields. Note that the stored value is not completely accurate and, in my testing, may drift by a few years for negative years in the thousands or millions – which seems like a reasonable limitation.
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Apr 19, 2018
Unit test time conversion utilities, and fix a couple of bugs surfaced by tests.
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Apr 19, 2018
Use a better name `edtf.convert` instead of `edtf.utils`
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Apr 19, 2018
Add `struct_time_to_jd` and `jd_to_struct_time` functions to `edtf.convert` module to handle conversion to and from Julian Date numerical float values. These functions greatly simplify Julian Date (JD) conversions, especially for converting from JD values where fiddly handling may be required to convert negative month/day/hour/minute/second values returned by the `jdutil` module.
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May 31, 2018
This work is now merged to master as release 4.0.0 |
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We currently rely on Python's built-in
datetime
module – and itsdatetime
anddate
constructs – to represent and return date/time information, but this module only supports dates between 1 and 9999 AD. The in-built Python libraries for handling date/times are simply not designed or intended for representing dates in the distant past such as any BC dates, or dates in the far future.Currently we ignore "extreme" dates that cannot be handled by
datetime
by bounding recognised dates to thedatetime.MINYEAR
(1) anddatetime.MAXYEAR
(9999) boundary constants.We will update the date parsing and processing in python-edtf to avoid this limitation by removing any use of the
datetime
module which imposes the limits, and will use Python's much more flexible struct_time representation when returning values that were previously returned asdate
ordatetime
objects.While this change will make it more awkward to work with some of the API, it will allow us to better represent the real data (rather than bounding the supported date ranges) and should be relatively easy for users to convert into richer Python objects like
datetime
s when possible (1 AD <= year <= 9999 AD) or something like astropy.time for dates outsidedatetime
's supported range.WARNING: This change will cause a breaking API change for the following methods of EDTF classes which will return
struct_time
constructs instead ofdate
ordatetime
objects:_strict_date()
methodsThe text was updated successfully, but these errors were encountered: