# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See license.txt

from __future__ import unicode_literals
import frappe
import datetime
from frappe.utils import formatdate, fmt_money, flt, cstr, cint, format_datetime
from frappe.model.meta import get_field_currency, get_field_precision
import re

def format_value(value, df=None, doc=None, currency=None, translated=False):
	'''Format value based on given fieldtype, document reference, currency reference.
	If docfield info (df) is not given, it will try and guess based on the datatype of the value'''
	if isinstance(df, basestring):
		df = frappe._dict(fieldtype=df)

	if not df:
		df = frappe._dict()
		if isinstance(value, datetime.datetime):
			df.fieldtype = 'Datetime'
		elif isinstance(value, datetime.date):
			df.fieldtype = 'Date'
		elif isinstance(value, int):
			df.fieldtype = 'Int'
		elif isinstance(value, float):
			df.fieldtype = 'Float'
		else:
			df.fieldtype = 'Data'

	elif (isinstance(df, dict)):
		# Convert dict to object if necessary
		df = frappe._dict(df)

	if value is None:
		value = ""
	elif translated:
		value = frappe._(value)

	if not df:
		return value

	elif df.get("fieldtype")=="Date":
		return formatdate(value)

	elif df.get("fieldtype")=="Datetime":
		return format_datetime(value)

	elif value==0 and df.get("fieldtype") in ("Int", "Float", "Currency", "Percent") and df.get("print_hide_if_no_value"):
		# this is required to show 0 as blank in table columns
		return ""

	elif df.get("fieldtype") == "Currency" or (df.get("fieldtype")=="Float" and (df.options or "").strip()):
		return fmt_money(value, precision=get_field_precision(df, doc),
			currency=currency if currency else (get_field_currency(df, doc) if doc else None))

	elif df.get("fieldtype") == "Float":
		precision = get_field_precision(df, doc)

		# show 1.000000 as 1
		# options should not specified
		if not df.options and value is not None:
			temp = cstr(value).split(".")
			if len(temp)==1 or cint(temp[1])==0:
				precision = 0

		return fmt_money(value, precision=precision)

	elif df.get("fieldtype") == "Percent":
		return "{}%".format(flt(value, 2))

	elif df.get("fieldtype") in ("Text", "Small Text"):
		if not re.search("(\<br|\<div|\<p)", value):
			return value.replace("\n", "<br>")

	return value