Parsing long form dates from string-CodePudding

I am aware that there are other solutions to similar problems on stack overflow but they don't work in my particular situation.

I have some strings -- here are some examples of them.

string_with_dates = "random non-date text, 22 May 1945 and 11 June 2004"
string2 = "random non-date text, 01/01/1999 & 11 June 2004"
string3 = "random non-date text, 01/01/1990, June 23 2010"
string4 = "01/2/2010 and 25th of July 2020"
string5 = "random non-date text, 01/02/1990"
string6 = "random non-date text, 01/02/2010 June 10 2010"

I need a parser that can determine how many date-like objects are in the string and then parse them into actual dates into a list. I can't find any solutions out there. Here is desired output:


['05/22/1945','06/11/2004']

Or as actual datetiem objects. Any ideas?

I have tried the solutions listed here but they don't work. How to parse multiple dates from a block of text in Python (or another language)

Here is what happens when I try the solutions suggested in that link:


import itertools
from dateutil import parser

jumpwords = set(parser.parserinfo.JUMP)
keywords = set(kw.lower() for kw in itertools.chain(
    parser.parserinfo.UTCZONE,
    parser.parserinfo.PERTAIN,
    (x for s in parser.parserinfo.WEEKDAYS for x in s),
    (x for s in parser.parserinfo.MONTHS for x in s),
    (x for s in parser.parserinfo.HMS for x in s),
    (x for s in parser.parserinfo.AMPM for x in s),
))

def parse_multiple(s):
    def is_valid_kw(s):
        try:  # is it a number?
            float(s)
            return True
        except ValueError:
            return s.lower() in keywords

    def _split(s):
        kw_found = False
        tokens = parser._timelex.split(s)
        for i in xrange(len(tokens)):
            if tokens[i] in jumpwords:
                continue 
            if not kw_found and is_valid_kw(tokens[i]):
                kw_found = True
                start = i
            elif kw_found and not is_valid_kw(tokens[i]):
                kw_found = False
                yield "".join(tokens[start:i])
        # handle date at end of input str
        if kw_found:
            yield "".join(tokens[start:])

    return [parser.parse(x) for x in _split(s)]

parse_multiple(string_with_dates)

Output:


ParserError: Unknown string format: 22 May 1945 and 11 June 2004

Another method:


from dateutil.parser import _timelex, parser

a = "I like peas on 2011-04-23, and I also like them on easter and my birthday, the 29th of July, 1928"

p = parser()
info = p.info

def timetoken(token):
  try:
    float(token)
    return True
  except ValueError:
    pass
  return any(f(token) for f in (info.jump,info.weekday,info.month,info.hms,info.ampm,info.pertain,info.utczone,info.tzoffset))

def timesplit(input_string):
  batch = []
  for token in _timelex(input_string):
    if timetoken(token):
      if info.jump(token):
        continue
      batch.append(token)
    else:
      if batch:
        yield " ".join(batch)
        batch = []
  if batch:
    yield " ".join(batch)

for item in timesplit(string_with_dates):
  print "Found:", (item)
  print "Parsed:", p.parse(item)

Output:



ParserError: Unknown string format: 22 May 1945 11 June 2004

Any ideas?

CodePudding user response：

Okay sorry to anyone who spent time on this -- but I was able to answer my own question. Leaving this up in case anyone else has the same issue.

This package was able to work perfectly: https://pypi.org/project/datefinder/


import datefinder

def DatesToList(x):
    
    dates = datefinder.find_dates(x)
    
    lists = []
    
    for date in dates:
        
        lists.append(date)
        
    return (lists)

dates = DateToList(string_with_dates)

Output:


[datetime.datetime(1945, 5, 22, 0, 0), datetime.datetime(2004, 6, 11, 0, 0)]