fix: allow to import time field (#17677) (#17690)

(cherry picked from commit c478673)

Co-authored-by: Shariq Ansari <30859809+shariquerik@users.noreply.github.com>

frappe/core/doctype/data_import/importer.py

@@ -7,7 +7,7 @@
 import json
 import os
 import timeit
-from datetime import date, datetime
+from datetime import date, datetime, time
 
 import frappe
 from frappe import _
@@ -854,11 +854,13 @@ def guess_date_format_for_column(self):
 		"""
 
 		def guess_date_format(d):
-			if isinstance(d, (datetime, date)):
+			if isinstance(d, (datetime, date, time)):
 				if self.df.fieldtype == "Date":
 					return "%Y-%m-%d"
 				if self.df.fieldtype == "Datetime":
 					return "%Y-%m-%d %H:%M:%S"
+				if self.df.fieldtype == "Time":
+					return "%H:%M:%S"
 			if isinstance(d, str):
 				return frappe.utils.guess_date_format(d)
 
@@ -913,16 +915,22 @@ def validate_values(self):
 					}
 				)
 		elif self.df.fieldtype in ("Date", "Time", "Datetime"):
-			# guess date format
+			# guess date/time format
 			self.date_format = self.guess_date_format_for_column()
 			if not self.date_format:
-				self.date_format = "%Y-%m-%d"
+				if self.df.fieldtype == "Time":
+					self.date_format = "%H:%M:%S"
+					format = "HH:mm:ss"
+				else:
+					self.date_format = "%Y-%m-%d"
+					format = "yyyy-mm-dd"
+
 				self.warnings.append(
 					{
 						"col": self.column_number,
 						"message": _(
-							"Date format could not be determined from the values in this column. Defaulting to yyyy-mm-dd."
-						),
+							"{0} format could not be determined from the values in this column. Defaulting to {1}."
+						).format(self.df.fieldtype, format),
 						"type": "info",
 					}
 				)

frappe/utils/data.py

@@ -1898,6 +1898,11 @@ def _get_time_format(time_str):
 	if date_format:
 		return date_format
 
+	# check if time format can be guessed
+	time_format = _get_time_format(date_string)
+	if time_format:
+		return time_format
+
 	# date_string doesnt look like date, it can have a time part too
 	# split the date string into date and time parts
 	if " " in date_string: