customize dateutil.parser century inference logic

问题

I am working on old text files with 2-digit years where the default century logic in dateutil.parser doesn't seem to work well. For example, the attack on Pearl Harbor was not on dparser.parse("12/7/41") (which returns 2041-12-7).

The buit-in century "threshold" to roll back into the 1900's seems to happen at 66:

import dateutil.parser as dparser
print(dparser.parse("12/31/65")) # goes forward to 2065-12-31 00:00:00
print(dparser.parse("1/1/66")) # goes back to 1966-01-01 00:00:00

For my purposes I would like to set this "threshold" at 17, so that:

"12/31/16" parses to 2016-12-31 (yyyy-mm-dd)
"1/1/17" parses to 1917-01-01

But I would like to continue to use this module as its fuzzy match seems to be working well.

The documentation doesn't identify a parameter for doing this... is there an argument I'm overlooking?

回答1:

This isn't particularly well documented but you can actually override this using dateutil.parser. The second argument is a parserinfo object, and the method you'll be concerned with is convertyear. The default implementation is what's causing you problems. You can see that it is basing its interpretation of the century on the current year, plus or minus fifty years. That's why you're seeing the transition at 1966. Next year it will be 1967. :)

Since you are using this personally and may have very specific needs, you don't have to be super-generic. You could do something as simple as this if it works for you:

from dateutil.parser import parse, parserinfo

class MyParserInfo(parserinfo):
    def convertyear(self, year, *args, **kwargs):
        if year < 100:
            year += 1900
        return year

parse('1/21/47', MyParserInfo())
# datetime.datetime(1947, 1, 21, 0, 0)

回答2:

You can also post-process the extracted dates manually changing the century if the extracted year is more than a specified threshold, in your case - 2016:

import dateutil.parser as dparser

THRESHOLD = 2016

date_strings = ["12/31/65", "1/1/66", "12/31/16", "1/1/17"]
for date_string in date_strings:
    dt = dparser.parse(date_string)
    if dt.year > THRESHOLD:
        dt = dt.replace(year=dt.year - 100)
    print(dt)

Prints:

1965-12-31 00:00:00
1966-01-01 00:00:00
2016-12-31 00:00:00
1917-01-01 00:00:00

回答3:

Other than writing your own parserinfo.convertyear method, you can customize this by passing a standard parserinfo object with changed _century and _year settings *):

from dateutil.parser import parse, parserinfo
info = parserinfo()
info._century = 1900
info._year  = 1965
parse('12/31/65', parserinfo=info)
=> 1965-12-31 00:00:00

_century specifies the default years added to whatever year number is parsed, i.e. 65 + 1900 = 1965.

_year specifies the cut-off year +- 50. Any year at least 50 years off of _years, i.e. where the difference is

< _year will be switched to the next century
>= _year will be switched to the previous century

Think of this as a timeline:

1900          1916          1965          2015
+--- (...) ---+--- (...) ---+--- (...) ---+
^             ^             ^             ^
_century      _year - 49    _year         _year + 50

parsed years:
              16,17,...             99,00,...15

In other words, the years 00, 01, ..., 99 are mapped to the time range _year - 49 .. _year + 50 with _year set to the middle of this 100-year period. Using these two settings you can thus specify any cut off you like.

*) Note these two variables are undocumented however are used in the default implementation for parserinfo.convertyear in the newest stable version at the time of writing, 2.5.3. IMHO the default implementation is quite smart.

来源：https://stackoverflow.com/questions/38577076/customize-dateutil-parser-century-inference-logic

标签

python

python-dateutil