gristlabs_grist-core/sandbox/grist/functions/info.py

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# -*- coding: UTF-8 -*-
# pylint: disable=unused-argument
from __future__ import absolute_import
import datetime
import math
import numbers
import re
import six
import column
from functions import date # pylint: disable=import-error
from functions.unimplemented import unimplemented
from objtypes import CellError
from usertypes import AltText # pylint: disable=import-error
from records import Record, RecordSet
@unimplemented
def ISBLANK(value):
"""
Returns whether a value refers to an empty cell. It isn't implemented in Grist. To check for an
empty string, use `value == ""`.
"""
raise NotImplementedError()
def ISERR(value):
"""
Checks whether a value is an error. In other words, it returns true
if using `value` directly would raise an exception.
NOTE: Grist implements this by automatically wrapping the argument to use lazy evaluation.
A more Pythonic approach to checking for errors is:
```
try:
... value ...
except Exception, err:
... do something about the error ...
```
For example:
>>> ISERR("Hello")
False
More tests:
>>> ISERR(lambda: (1/0.1))
False
>>> ISERR(lambda: (1/0.0))
True
>>> ISERR(lambda: "test".bar())
True
>>> ISERR(lambda: "test".upper())
False
>>> ISERR(lambda: AltText("A"))
False
>>> ISERR(lambda: float('nan'))
False
>>> ISERR(lambda: None)
False
"""
return lazy_value_or_error(value) is _error_sentinel
def ISERROR(value):
"""
Checks whether a value is an error or an invalid value. It is similar to `ISERR`, but also
returns true for an invalid value such as NaN or a text value in a Numeric column.
NOTE: Grist implements this by automatically wrapping the argument to use lazy evaluation.
>>> ISERROR("Hello")
False
>>> ISERROR(AltText("fail"))
True
>>> ISERROR(float('nan'))
True
More tests:
>>> ISERROR(AltText(""))
True
>>> [ISERROR(v) for v in [0, None, "", "Test", 17.0]]
[False, False, False, False, False]
>>> ISERROR(lambda: (1/0.1))
False
>>> ISERROR(lambda: (1/0.0))
True
>>> ISERROR(lambda: "test".bar())
True
>>> ISERROR(lambda: "test".upper())
False
>>> ISERROR(lambda: AltText("A"))
True
>>> ISERROR(lambda: float('nan'))
True
>>> ISERROR(lambda: None)
False
"""
return is_error(lazy_value_or_error(value))
def ISLOGICAL(value):
"""
Checks whether a value is `True` or `False`.
>>> ISLOGICAL(True)
True
>>> ISLOGICAL(False)
True
>>> ISLOGICAL(0)
False
>>> ISLOGICAL(None)
False
>>> ISLOGICAL("Test")
False
"""
return isinstance(value, bool)
def ISNA(value):
"""
Checks whether a value is the error `#N/A`.
>>> ISNA(float('nan'))
True
>>> ISNA(0.0)
False
>>> ISNA('text')
False
>>> ISNA(float('-inf'))
False
"""
return isinstance(value, float) and math.isnan(value)
def ISNONTEXT(value):
"""
Checks whether a value is non-textual.
>>> ISNONTEXT("asdf")
False
>>> ISNONTEXT("")
False
>>> ISNONTEXT(AltText("text"))
False
>>> ISNONTEXT(17.0)
True
>>> ISNONTEXT(None)
True
>>> ISNONTEXT(datetime.date(2011, 1, 1))
True
"""
return not ISTEXT(value)
def ISNUMBER(value):
"""
Checks whether a value is a number.
>>> ISNUMBER(17)
True
>>> ISNUMBER(-123.123423)
True
>>> ISNUMBER(False)
True
>>> ISNUMBER(float('nan'))
True
>>> ISNUMBER(float('inf'))
True
>>> ISNUMBER('17')
False
>>> ISNUMBER(None)
False
>>> ISNUMBER(datetime.date(2011, 1, 1))
False
More tests:
>>> ISNUMBER(AltText("text"))
False
>>> ISNUMBER('')
False
"""
return isinstance(value, numbers.Number)
def ISREF(value):
"""
Checks whether a value is a table record.
For example, if a column `person` is of type Reference to the `People` table,
then `ISREF($person)` is `True`.
Similarly, `ISREF(People.lookupOne(name=$name))` is `True`. For any other type of value,
`ISREF()` would evaluate to `False`.
>>> ISREF(17)
False
>>> ISREF("Roger")
False
"""
return isinstance(value, Record)
def ISREFLIST(value):
"""
Checks whether a value is a [`RecordSet`](#recordset),
the type of values in Reference List columns.
For example, if a column `people` is of type Reference List to the `People` table,
then `ISREFLIST($people)` is `True`.
Similarly, `ISREFLIST(People.lookupRecords(name=$name))` is `True`. For any other type of value,
`ISREFLIST()` would evaluate to `False`.
>>> ISREFLIST(17)
False
>>> ISREFLIST("Roger")
False
"""
return isinstance(value, RecordSet)
def ISTEXT(value):
"""
Checks whether a value is text.
>>> ISTEXT("asdf")
True
>>> ISTEXT("")
True
>>> ISTEXT(AltText("text"))
True
>>> ISTEXT(17.0)
False
>>> ISTEXT(None)
False
>>> ISTEXT(datetime.date(2011, 1, 1))
False
"""
return isinstance(value, (six.string_types, AltText))
# Regexp for matching email. See ISEMAIL for justification.
_email_regexp = re.compile(
r"""
^\w # Start with an alphanumeric character
[\w%+/='-]* (\.[\w%+/='-]+)* # Elsewhere allow also a few other special characters
# But no two consecutive periods
@
([A-Za-z0-9] # Each part of hostname must start with alphanumeric
([A-Za-z0-9-]*[A-Za-z0-9])?\. # May have dashes inside, but end in alphanumeric
)+
[A-Za-z]{2,6}$ # Restrict top-level domain to length {2,6}. Google seems
# to use a whitelist for TLDs longer than 2 characters.
""", re.UNICODE | re.VERBOSE)
# Regexp for matching hostname part of URLs (see also ISURL). Duplicates part of _email_regexp.
_hostname_regexp = re.compile(
r"""^
([A-Za-z0-9] # Each part of hostname must start with alphanumeric
([A-Za-z0-9-]*[A-Za-z0-9])?\. # May have dashes inside, but end in alphanumeric
)+
[A-Za-z]{2,6}$ # Restrict top-level domain to length {2,6}. Google seems
""", re.VERBOSE)
def ISEMAIL(value):
u"""
Returns whether a value is a valid email address.
Note that checking email validity is not an exact science. The technical standard considers many
email addresses valid that are not used in practice, and would not be considered valid by most
users. Instead, we follow Google Sheets implementation, with some differences, noted below.
>>> ISEMAIL("Abc.123@example.com")
True
>>> ISEMAIL("Bob_O-Reilly+tag@example.com")
True
>>> ISEMAIL("John Doe")
False
>>> ISEMAIL("john@aol...com")
False
More tests:
>>> ISEMAIL("Abc@example.com") # True, True
True
>>> ISEMAIL("Abc.123@example.com") # True, True
True
>>> ISEMAIL("foo@bar.com") # True, True
True
>>> ISEMAIL("asdf@com.zt") # True, True
True
>>> ISEMAIL("Bob_O-Reilly+tag@example.com") # True, True
True
>>> ISEMAIL("john@server.department.company.com") # True, True
True
>>> ISEMAIL("asdf@mail.ru") # True, True
True
>>> ISEMAIL("fabio@foo.qwer.COM") # True, True
True
>>> ISEMAIL("user+mailbox/department=shipping@example.com") # False, True
True
>>> ISEMAIL(u"user+mailbox/department=shipping@example.com") # False, True
True
>>> ISEMAIL("customer/department=shipping@example.com") # False, True
True
>>> ISEMAIL("Bob_O'Reilly+tag@example.com") # False, True
True
>>> ISEMAIL(u"фыва@mail.ru") # False, True
True
>>> ISEMAIL("my@baddash.-.com") # True, False
False
>>> ISEMAIL("my@baddash.-a.com") # True, False
False
>>> ISEMAIL("my@baddash.b-.com") # True, False
False
>>> ISEMAIL("john@-.com") # True, False
False
>>> ISEMAIL("fabio@disapproved.solutions") # False, False
False
>>> ISEMAIL("!def!xyz%abc@example.com") # False, False
False
>>> ISEMAIL("!#$%&'*+-/=?^_`.{|}~@example.com") # False, False
False
>>> ISEMAIL(u"伊昭傑@郵件.商務") # False, False
False
>>> ISEMAIL(u"राम@मोहन.ईन्फो") # False, Fale
False
>>> ISEMAIL(u"юзер@екзампл.ком") # False, False
False
>>> ISEMAIL(u"θσερ@εχαμπλε.ψομ") # False, False
False
>>> ISEMAIL(u"葉士豪@臺網中心.tw") # False, False
False
>>> ISEMAIL(u"jeff@臺網中心.tw") # False, False
False
>>> ISEMAIL(u"葉士豪@臺網中心.台灣") # False, False
False
>>> ISEMAIL(u"jeff葉@臺網中心.tw") # False, False
False
>>> ISEMAIL("myname@domain.com") # False, False
False
>>> ISEMAIL("my.name@domaincom") # False, False
False
>>> ISEMAIL("my@.leadingdot.com") # False, False
False
>>> ISEMAIL("my@leadingfwdot.com") # False, False
False
>>> ISEMAIL("my@..twodots.com") # False, False
False
>>> ISEMAIL("my@twodots..com") # False, False
False
>>> ISEMAIL(".leadingdot@domain.com") # False, False
False
>>> ISEMAIL("..twodots@domain.com") # False, False
False
>>> ISEMAIL("twodots..here@domain.com") # False, False
False
>>> ISEMAIL("me@⒈wouldbeinvalid.com") # False, False
False
>>> ISEMAIL("Foo Bar <a+2asdf@qwer.bar.com>") # False, False
False
>>> ISEMAIL("Abc\\@def@example.com") # False, False
False
>>> ISEMAIL("foo@bar@google.com") # False, False
False
>>> ISEMAIL("john@aol...com") # False, False
False
>>> ISEMAIL("x@ทีเอชนิค.ไทย") # False, False
False
>>> ISEMAIL("asdf@mail") # False, False
False
>>> ISEMAIL("example@良好Mail.中国") # False, False
False
"""
return bool(_email_regexp.match(value))
_url_regexp = re.compile(
r"""^
((ftp|http|https|gopher|mailto|news|telnet|aim)://)?
(\w+@)? # Allow 'user@' part, esp. useful for mailto: URLs.
([A-Za-z0-9] # Each part of hostname must start with alphanumeric
([A-Za-z0-9-]*[A-Za-z0-9])?\. # May have dashes inside, but end in alphanumeric
)+
[A-Za-z]{2,6} # Restrict top-level domain to length {2,6}. Google seems
# to use a whitelist for TLDs longer than 2 characters.
([/?][-\w!#$%&'()*+,./:;=?@~]*)?$ # Notably, this excludes <, >, and ".
""", re.VERBOSE)
def ISURL(value):
"""
Checks whether a value is a valid URL. It does not need to be fully qualified, or to include
"http://" and "www". It does not follow a standard, but attempts to work similarly to ISURL in
Google Sheets, and to return True for text that is likely a URL.
Valid protocols include ftp, http, https, gopher, mailto, news, telnet, and aim.
>>> ISURL("http://www.getgrist.com")
True
>>> ISURL("https://foo.com/test_(wikipedia)#cite-1")
True
>>> ISURL("mailto://user@example.com")
True
>>> ISURL("http:///a")
False
More tests:
>>> ISURL("http://www.google.com")
True
>>> ISURL("www.google.com/")
True
>>> ISURL("google.com")
True
>>> ISURL("http://a.b-c.de")
True
>>> ISURL("a.b-c.de")
True
>>> ISURL("http://j.mp/---")
True
>>> ISURL("ftp://foo.bar/baz")
True
>>> ISURL("https://foo.com/blah_(wikipedia)#cite-1")
True
>>> ISURL("mailto://user@google.com")
True
>>> ISURL("http://user@www.google.com")
True
>>> ISURL("http://foo.com/!#$%25&'()*+,-./=?@_~")
True
>>> ISURL("http://../")
False
>>> ISURL("http://??/")
False
>>> ISURL("a.-b.cd")
False
>>> ISURL("http://foo.bar?q=Spaces should be encoded ")
False
>>> ISURL("//")
False
>>> ISURL("///a")
False
>>> ISURL("http:///a")
False
>>> ISURL("bar://www.google.com")
False
>>> ISURL("http:// shouldfail.com")
False
>>> ISURL("ftps://foo.bar/")
False
>>> ISURL("http://-error-.invalid/")
False
>>> ISURL("http://0.0.0.0")
False
>>> ISURL("http://.www.foo.bar/")
False
>>> ISURL("http://.www.foo.bar./")
False
>>> ISURL("example.com/file[/].html")
False
>>> ISURL("http://example.com/file[/].html")
False
>>> ISURL("http://mw1.google.com/kml-samples/gp/seattle/gigapxl/$[level]/r$[y]_c$[x].jpg")
False
>>> ISURL("http://foo.com/>")
False
"""
value = value.strip()
if ' ' in value: # Disallow spaces inside value.
return False
return bool(_url_regexp.match(value))
def N(value):
"""
Returns the value converted to a number. True/False are converted to 1/0. A date is converted to
Excel-style serial number of the date. Anything else is converted to 0.
>>> N(7)
7
>>> N(7.1)
7.1
>>> N("Even")
0
>>> N("7")
0
>>> N(True)
1
>>> N(datetime.datetime(2011, 4, 17))
40650.0
"""
if ISNUMBER(value):
return value
if isinstance(value, datetime.date):
return date.DATE_TO_XL(value)
return 0
def CURRENT_CONVERSION(rec):
"""
Internal function used by Grist during column type conversions. Not available for use in
formulas.
"""
return rec.gristHelper_Converted
def NA():
"""
Returns the "value not available" error, `#N/A`.
>>> math.isnan(NA())
True
"""
return float('nan')
@unimplemented
def TYPE(value):
"""
Returns a number associated with the type of data passed into the function. This is not
implemented in Grist. Use `isinstance(value, type)` or `type(value)`.
"""
raise NotImplementedError()
@unimplemented
def CELL(info_type, reference):
"""
Returns the requested information about the specified cell. This is not implemented in Grist
"""
raise NotImplementedError()
def RECORD(record_or_list, dates_as_iso=False, expand_refs=0):
"""
Returns a Python dictionary with all fields in the given record. If a list of records is given,
returns a list of corresponding Python dictionaries.
If dates_as_iso is set, Date and DateTime values are converted to string using ISO 8601 format.
If expand_refs is set to 1 or higher, Reference values are replaced with a RECORD representation
of the referenced record, expanding the given number of levels.
Error values present in cells of the record are replaced with None value, and a special key of
"_error_" gets added containing the error messages for those cells. For example:
`{"Ratio": None, "_error_": {"Ratio": "ZeroDivisionError: integer division or modulo by zero"}}`
Note that care is needed to avoid circular references when using RECORD(), since it creates a
dependency on every cell in the record. In case of RECORD(rec), the cell containing this call
will be omitted from the resulting dictionary.
For example:
```
RECORD($Person)
RECORD(rec)
RECORD(People.lookupOne(First_Name="Alice"))
RECORD(People.lookupRecords(Department="HR"))
```
"""
if isinstance(record_or_list, Record):
return _prepare_record_dict(record_or_list, dates_as_iso=dates_as_iso, expand_refs=expand_refs)
try:
records = list(record_or_list)
assert all(isinstance(r, Record) for r in records)
except Exception:
raise ValueError('RECORD() requires a Record or an iterable of Records')
return [_prepare_record_dict(r, dates_as_iso=dates_as_iso, expand_refs=expand_refs)
for r in records]
def _prepare_record_dict(record, dates_as_iso=False, expand_refs=0):
table_id = record._table.table_id
docmodel = record._table._engine.docmodel
columns = docmodel.get_table_rec(table_id).columns
current_node = record._table._engine._current_node
result = {'id': int(record)}
errors = {}
for col in columns:
col_id = col.colId
# Skip helper columns.
if not column.is_visible_column(col_id):
continue
# Avoid trying to access the cell being evaluated, since cycles get detected even if the
# CircularRef exception is caught. TODO This is hacky, and imperfect. If another column
# references a column containing the RECORD(rec) call, CircularRefError will still happen.
if current_node == (table_id, col_id):
continue
try:
val = getattr(record, col_id)
if dates_as_iso and isinstance(val, datetime.date):
val = val.isoformat()
elif expand_refs and isinstance(val, (Record, RecordSet)):
# Reduce expand_refs levels.
if val:
val = RECORD(val, dates_as_iso=dates_as_iso, expand_refs=expand_refs - 1)
else:
val = None
result[col_id] = val
except Exception as e:
result[col_id] = None
while isinstance(e, CellError):
# The extra information from CellError is redundant here
e = e.error # pylint: disable=no-member
errors[col_id] = "%s: %s" % (type(e).__name__, str(e))
if errors:
result["_error_"] = errors
return result
# Unique sentinel value to represent that a lazy value evaluates with an exception.
_error_sentinel = object()
def lazy_value_or_error(value):
"""
Evaluates a value like lazy_value(), but returns _error_sentinel on exception.
"""
try:
return value() if callable(value) else value
except Exception:
return _error_sentinel
def is_error(value):
"""
Checks whether a value is an invalid value or _error_sentinel.
"""
return ((value is _error_sentinel)
or isinstance(value, AltText)
or (isinstance(value, float) and math.isnan(value)))