Based on Martin Akerman's Answer :
First of all, I simplified the code a bit.
public static Map<String, Set<LocalDate>> createDateMapping(LocalDate min, LocalDate max) throws ParseException {
DateFormat targetFormat = new SimpleDateFormat("yyyy-MM-dd");
DateTimeFormatter wrongFormat = DateTimeFormatter.ofPattern("dd-MM-yyyy");
final Map<String, Set<LocalDate>> inputMappings = new LinkedHashMap<>();
for (LocalDate date = min; !date.isAfter(max); date = date.plusDays(1)) {
final String incorrectlyFormattedDate = date.format(wrongFormat);
final String key = targetFormat.format(targetFormat.parse(incorrectlyFormattedDate));
if (!inputMappings.containsKey(key)) {
inputMappings.put(key, new TreeSet<>());
}
inputMappings.get(key).add(date);
}
return inputMappings;
}
Easy fixing of invalid dates depends on the range of valid dates.
For example, if max=2016-12-31, then the following table shows the number of unique dates that are fixed / ambiguous depending onmin
min fixable ambiguous
1990-01-01 9862 0
1980-01-01 8827 2344
1970-01-01 5331 5918
1960-01-01 1832 9494
1950-01-01 408 10950
1940-01-01 314 11054
1930-01-01 218 11160
1920-01-01 165 11223
1910-01-01 135 11263
1900-01-01 105 11303
30 , , 30 ,
LocalDate max = LocalDate.of(2016, Month.DECEMBER, 31);
LocalDate min = max.minusYears(30);
Map<String, Set<LocalDate>> invalidDateMapping = createDateMapping(min, max);
long reversibleCount = invalidDateMapping.entrySet().stream().filter(e -> e.getValue().size() == 1).count();
long ambiguousCount = invalidDateMapping.size() - reversibleCount;