81 lines
2.4 KiB
Python
81 lines
2.4 KiB
Python
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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# MIT License. See license.txt
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from __future__ import unicode_literals
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import frappe
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import datetime
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from frappe.utils import formatdate, fmt_money, flt, cstr, cint, format_datetime, format_time
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from frappe.model.meta import get_field_currency, get_field_precision
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import re
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from six import string_types
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def format_value(value, df=None, doc=None, currency=None, translated=False):
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'''Format value based on given fieldtype, document reference, currency reference.
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If docfield info (df) is not given, it will try and guess based on the datatype of the value'''
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if isinstance(df, string_types):
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df = frappe._dict(fieldtype=df)
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if not df:
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df = frappe._dict()
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if isinstance(value, datetime.datetime):
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df.fieldtype = 'Datetime'
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elif isinstance(value, datetime.date):
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df.fieldtype = 'Date'
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elif isinstance(value, datetime.timedelta):
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df.fieldtype = 'Time'
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elif isinstance(value, int):
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df.fieldtype = 'Int'
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elif isinstance(value, float):
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df.fieldtype = 'Float'
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else:
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df.fieldtype = 'Data'
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elif (isinstance(df, dict)):
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# Convert dict to object if necessary
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df = frappe._dict(df)
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if value is None:
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value = ""
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elif translated:
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value = frappe._(value)
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if not df:
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return value
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elif df.get("fieldtype")=="Date":
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return formatdate(value)
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elif df.get("fieldtype")=="Datetime":
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return format_datetime(value)
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elif df.get("fieldtype")=="Time":
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return format_time(value)
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elif value==0 and df.get("fieldtype") in ("Int", "Float", "Currency", "Percent") and df.get("print_hide_if_no_value"):
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# this is required to show 0 as blank in table columns
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return ""
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elif df.get("fieldtype") == "Currency" or (df.get("fieldtype")=="Float" and (df.options or "").strip()):
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return fmt_money(value, precision=get_field_precision(df, doc),
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currency=currency if currency else (get_field_currency(df, doc) if doc else None))
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elif df.get("fieldtype") == "Float":
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precision = get_field_precision(df, doc)
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# show 1.000000 as 1
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# options should not specified
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if not df.options and value is not None:
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temp = cstr(value).split(".")
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if len(temp)==1 or cint(temp[1])==0:
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precision = 0
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return fmt_money(value, precision=precision)
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elif df.get("fieldtype") == "Percent":
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return "{}%".format(flt(value, 2))
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elif df.get("fieldtype") in ("Text", "Small Text"):
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if not re.search("(\<br|\<div|\<p)", value):
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return value.replace("\n", "<br>")
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return value
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