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Bump cherrypy from 18.8.0 to 18.9.0 (#2266)

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* Bump cherrypy from 18.8.0 to 18.9.0

Bumps [cherrypy](https://github.com/cherrypy/cherrypy) from 18.8.0 to 18.9.0.
- [Changelog](https://github.com/cherrypy/cherrypy/blob/main/CHANGES.rst)
- [Commits](https://github.com/cherrypy/cherrypy/compare/v18.8.0...v18.9.0)

---
updated-dependencies:
- dependency-name: cherrypy
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* Update cherrypy==18.9.0

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: JonnyWong16 <9099342+JonnyWong16@users.noreply.github.com>

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"""adodbapi.apibase - A python DB API 2.0 (PEP 249) interface to Microsoft ADO
Copyright (C) 2002 Henrik Ekelund, version 2.1 by Vernon Cole
* http://sourceforge.net/projects/pywin32
* http://sourceforge.net/projects/adodbapi
"""
import datetime
import decimal
import numbers
import sys
import time
# noinspection PyUnresolvedReferences
from . import ado_consts as adc
verbose = False # debugging flag
onIronPython = sys.platform == "cli"
if onIronPython: # we need type definitions for odd data we may need to convert
# noinspection PyUnresolvedReferences
from System import DateTime, DBNull
NullTypes = (type(None), DBNull)
else:
DateTime = type(NotImplemented) # should never be seen on win32
NullTypes = type(None)
# --- define objects to smooth out Python3 <-> Python 2.x differences
unicodeType = str
longType = int
StringTypes = str
makeByteBuffer = bytes
memoryViewType = memoryview
_BaseException = Exception
try: # jdhardy -- handle bytes under IronPython & Py3
bytes
except NameError:
bytes = str # define it for old Pythons
# ------- Error handlers ------
def standardErrorHandler(connection, cursor, errorclass, errorvalue):
err = (errorclass, errorvalue)
try:
connection.messages.append(err)
except:
pass
if cursor is not None:
try:
cursor.messages.append(err)
except:
pass
raise errorclass(errorvalue)
# Note: _BaseException is defined differently between Python 2.x and 3.x
class Error(_BaseException):
pass # Exception that is the base class of all other error
# exceptions. You can use this to catch all errors with one
# single 'except' statement. Warnings are not considered
# errors and thus should not use this class as base. It must
# be a subclass of the Python StandardError (defined in the
# module exceptions).
class Warning(_BaseException):
pass
class InterfaceError(Error):
pass
class DatabaseError(Error):
pass
class InternalError(DatabaseError):
pass
class OperationalError(DatabaseError):
pass
class ProgrammingError(DatabaseError):
pass
class IntegrityError(DatabaseError):
pass
class DataError(DatabaseError):
pass
class NotSupportedError(DatabaseError):
pass
class FetchFailedError(OperationalError):
"""
Error is used by RawStoredProcedureQuerySet to determine when a fetch
failed due to a connection being closed or there is no record set
returned. (Non-standard, added especially for django)
"""
pass
# # # # # ----- Type Objects and Constructors ----- # # # # #
# Many databases need to have the input in a particular format for binding to an operation's input parameters.
# For example, if an input is destined for a DATE column, then it must be bound to the database in a particular
# string format. Similar problems exist for "Row ID" columns or large binary items (e.g. blobs or RAW columns).
# This presents problems for Python since the parameters to the executeXXX() method are untyped.
# When the database module sees a Python string object, it doesn't know if it should be bound as a simple CHAR
# column, as a raw BINARY item, or as a DATE.
#
# To overcome this problem, a module must provide the constructors defined below to create objects that can
# hold special values. When passed to the cursor methods, the module can then detect the proper type of
# the input parameter and bind it accordingly.
# A Cursor Object's description attribute returns information about each of the result columns of a query.
# The type_code must compare equal to one of Type Objects defined below. Type Objects may be equal to more than
# one type code (e.g. DATETIME could be equal to the type codes for date, time and timestamp columns;
# see the Implementation Hints below for details).
# SQL NULL values are represented by the Python None singleton on input and output.
# Note: Usage of Unix ticks for database interfacing can cause troubles because of the limited date range they cover.
# def Date(year,month,day):
# "This function constructs an object holding a date value. "
# return dateconverter.date(year,month,day) #dateconverter.Date(year,month,day)
#
# def Time(hour,minute,second):
# "This function constructs an object holding a time value. "
# return dateconverter.time(hour, minute, second) # dateconverter.Time(hour,minute,second)
#
# def Timestamp(year,month,day,hour,minute,second):
# "This function constructs an object holding a time stamp value. "
# return dateconverter.datetime(year,month,day,hour,minute,second)
#
# def DateFromTicks(ticks):
# """This function constructs an object holding a date value from the given ticks value
# (number of seconds since the epoch; see the documentation of the standard Python time module for details). """
# return Date(*time.gmtime(ticks)[:3])
#
# def TimeFromTicks(ticks):
# """This function constructs an object holding a time value from the given ticks value
# (number of seconds since the epoch; see the documentation of the standard Python time module for details). """
# return Time(*time.gmtime(ticks)[3:6])
#
# def TimestampFromTicks(ticks):
# """This function constructs an object holding a time stamp value from the given
# ticks value (number of seconds since the epoch;
# see the documentation of the standard Python time module for details). """
# return Timestamp(*time.gmtime(ticks)[:6])
#
# def Binary(aString):
# """This function constructs an object capable of holding a binary (long) string value. """
# b = makeByteBuffer(aString)
# return b
# ----- Time converters ----------------------------------------------
class TimeConverter(object): # this is a generic time converter skeleton
def __init__(self): # the details will be filled in by instances
self._ordinal_1899_12_31 = datetime.date(1899, 12, 31).toordinal() - 1
# Use cls.types to compare if an input parameter is a datetime
self.types = {
type(self.Date(2000, 1, 1)),
type(self.Time(12, 1, 1)),
type(self.Timestamp(2000, 1, 1, 12, 1, 1)),
datetime.datetime,
datetime.time,
datetime.date,
}
def COMDate(self, obj):
"""Returns a ComDate from a date-time"""
try: # most likely a datetime
tt = obj.timetuple()
try:
ms = obj.microsecond
except:
ms = 0
return self.ComDateFromTuple(tt, ms)
except: # might be a tuple
try:
return self.ComDateFromTuple(obj)
except: # try an mxdate
try:
return obj.COMDate()
except:
raise ValueError('Cannot convert "%s" to COMdate.' % repr(obj))
def ComDateFromTuple(self, t, microseconds=0):
d = datetime.date(t[0], t[1], t[2])
integerPart = d.toordinal() - self._ordinal_1899_12_31
ms = (t[3] * 3600 + t[4] * 60 + t[5]) * 1000000 + microseconds
fractPart = float(ms) / 86400000000.0
return integerPart + fractPart
def DateObjectFromCOMDate(self, comDate):
"Returns an object of the wanted type from a ComDate"
raise NotImplementedError # "Abstract class"
def Date(self, year, month, day):
"This function constructs an object holding a date value."
raise NotImplementedError # "Abstract class"
def Time(self, hour, minute, second):
"This function constructs an object holding a time value."
raise NotImplementedError # "Abstract class"
def Timestamp(self, year, month, day, hour, minute, second):
"This function constructs an object holding a time stamp value."
raise NotImplementedError # "Abstract class"
# all purpose date to ISO format converter
def DateObjectToIsoFormatString(self, obj):
"This function should return a string in the format 'YYYY-MM-dd HH:MM:SS:ms' (ms optional)"
try: # most likely, a datetime.datetime
s = obj.isoformat(" ")
except (TypeError, AttributeError):
if isinstance(obj, datetime.date):
s = obj.isoformat() + " 00:00:00" # return exact midnight
else:
try: # maybe it has a strftime method, like mx
s = obj.strftime("%Y-%m-%d %H:%M:%S")
except AttributeError:
try: # but may be time.struct_time
s = time.strftime("%Y-%m-%d %H:%M:%S", obj)
except:
raise ValueError('Cannot convert "%s" to isoformat' % repr(obj))
return s
# -- Optional: if mx extensions are installed you may use mxDateTime ----
try:
import mx.DateTime
mxDateTime = True
except:
mxDateTime = False
if mxDateTime:
class mxDateTimeConverter(TimeConverter): # used optionally if installed
def __init__(self):
TimeConverter.__init__(self)
self.types.add(type(mx.DateTime))
def DateObjectFromCOMDate(self, comDate):
return mx.DateTime.DateTimeFromCOMDate(comDate)
def Date(self, year, month, day):
return mx.DateTime.Date(year, month, day)
def Time(self, hour, minute, second):
return mx.DateTime.Time(hour, minute, second)
def Timestamp(self, year, month, day, hour, minute, second):
return mx.DateTime.Timestamp(year, month, day, hour, minute, second)
else:
class mxDateTimeConverter(TimeConverter):
pass # if no mx is installed
class pythonDateTimeConverter(TimeConverter): # standard since Python 2.3
def __init__(self):
TimeConverter.__init__(self)
def DateObjectFromCOMDate(self, comDate):
if isinstance(comDate, datetime.datetime):
odn = comDate.toordinal()
tim = comDate.time()
new = datetime.datetime.combine(datetime.datetime.fromordinal(odn), tim)
return new
# return comDate.replace(tzinfo=None) # make non aware
elif isinstance(comDate, DateTime):
fComDate = comDate.ToOADate() # ironPython clr Date/Time
else:
fComDate = float(comDate) # ComDate is number of days since 1899-12-31
integerPart = int(fComDate)
floatpart = fComDate - integerPart
##if floatpart == 0.0:
## return datetime.date.fromordinal(integerPart + self._ordinal_1899_12_31)
dte = datetime.datetime.fromordinal(
integerPart + self._ordinal_1899_12_31
) + datetime.timedelta(milliseconds=floatpart * 86400000)
# millisecondsperday=86400000 # 24*60*60*1000
return dte
def Date(self, year, month, day):
return datetime.date(year, month, day)
def Time(self, hour, minute, second):
return datetime.time(hour, minute, second)
def Timestamp(self, year, month, day, hour, minute, second):
return datetime.datetime(year, month, day, hour, minute, second)
class pythonTimeConverter(TimeConverter): # the old, ?nix type date and time
def __init__(self): # caution: this Class gets confised by timezones and DST
TimeConverter.__init__(self)
self.types.add(time.struct_time)
def DateObjectFromCOMDate(self, comDate):
"Returns ticks since 1970"
if isinstance(comDate, datetime.datetime):
return comDate.timetuple()
elif isinstance(comDate, DateTime): # ironPython clr date/time
fcomDate = comDate.ToOADate()
else:
fcomDate = float(comDate)
secondsperday = 86400 # 24*60*60
# ComDate is number of days since 1899-12-31, gmtime epoch is 1970-1-1 = 25569 days
t = time.gmtime(secondsperday * (fcomDate - 25569.0))
return t # year,month,day,hour,minute,second,weekday,julianday,daylightsaving=t
def Date(self, year, month, day):
return self.Timestamp(year, month, day, 0, 0, 0)
def Time(self, hour, minute, second):
return time.gmtime((hour * 60 + minute) * 60 + second)
def Timestamp(self, year, month, day, hour, minute, second):
return time.localtime(
time.mktime((year, month, day, hour, minute, second, 0, 0, -1))
)
base_dateconverter = pythonDateTimeConverter()
# ------ DB API required module attributes ---------------------
threadsafety = 1 # TODO -- find out whether this module is actually BETTER than 1.
apilevel = "2.0" # String constant stating the supported DB API level.
paramstyle = "qmark" # the default parameter style
# ------ control for an extension which may become part of DB API 3.0 ---
accepted_paramstyles = ("qmark", "named", "format", "pyformat", "dynamic")
# ------------------------------------------------------------------------------------------
# define similar types for generic conversion routines
adoIntegerTypes = (
adc.adInteger,
adc.adSmallInt,
adc.adTinyInt,
adc.adUnsignedInt,
adc.adUnsignedSmallInt,
adc.adUnsignedTinyInt,
adc.adBoolean,
adc.adError,
) # max 32 bits
adoRowIdTypes = (adc.adChapter,) # v2.1 Rose
adoLongTypes = (adc.adBigInt, adc.adFileTime, adc.adUnsignedBigInt)
adoExactNumericTypes = (
adc.adDecimal,
adc.adNumeric,
adc.adVarNumeric,
adc.adCurrency,
) # v2.3 Cole
adoApproximateNumericTypes = (adc.adDouble, adc.adSingle) # v2.1 Cole
adoStringTypes = (
adc.adBSTR,
adc.adChar,
adc.adLongVarChar,
adc.adLongVarWChar,
adc.adVarChar,
adc.adVarWChar,
adc.adWChar,
)
adoBinaryTypes = (adc.adBinary, adc.adLongVarBinary, adc.adVarBinary)
adoDateTimeTypes = (adc.adDBTime, adc.adDBTimeStamp, adc.adDate, adc.adDBDate)
adoRemainingTypes = (
adc.adEmpty,
adc.adIDispatch,
adc.adIUnknown,
adc.adPropVariant,
adc.adArray,
adc.adUserDefined,
adc.adVariant,
adc.adGUID,
)
# this class is a trick to determine whether a type is a member of a related group of types. see PEP notes
class DBAPITypeObject(object):
def __init__(self, valuesTuple):
self.values = frozenset(valuesTuple)
def __eq__(self, other):
return other in self.values
def __ne__(self, other):
return other not in self.values
"""This type object is used to describe columns in a database that are string-based (e.g. CHAR). """
STRING = DBAPITypeObject(adoStringTypes)
"""This type object is used to describe (long) binary columns in a database (e.g. LONG, RAW, BLOBs). """
BINARY = DBAPITypeObject(adoBinaryTypes)
"""This type object is used to describe numeric columns in a database. """
NUMBER = DBAPITypeObject(
adoIntegerTypes + adoLongTypes + adoExactNumericTypes + adoApproximateNumericTypes
)
"""This type object is used to describe date/time columns in a database. """
DATETIME = DBAPITypeObject(adoDateTimeTypes)
"""This type object is used to describe the "Row ID" column in a database. """
ROWID = DBAPITypeObject(adoRowIdTypes)
OTHER = DBAPITypeObject(adoRemainingTypes)
# ------- utilities for translating python data types to ADO data types ---------------------------------
typeMap = {
memoryViewType: adc.adVarBinary,
float: adc.adDouble,
type(None): adc.adEmpty,
str: adc.adBSTR,
bool: adc.adBoolean, # v2.1 Cole
decimal.Decimal: adc.adDecimal,
int: adc.adBigInt,
bytes: adc.adVarBinary,
}
def pyTypeToADOType(d):
tp = type(d)
try:
return typeMap[tp]
except KeyError: # The type was not defined in the pre-computed Type table
from . import dateconverter
if (
tp in dateconverter.types
): # maybe it is one of our supported Date/Time types
return adc.adDate
# otherwise, attempt to discern the type by probing the data object itself -- to handle duck typing
if isinstance(d, StringTypes):
return adc.adBSTR
if isinstance(d, numbers.Integral):
return adc.adBigInt
if isinstance(d, numbers.Real):
return adc.adDouble
raise DataError('cannot convert "%s" (type=%s) to ADO' % (repr(d), tp))
# # # # # # # # # # # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# functions to convert database values to Python objects
# ------------------------------------------------------------------------
# variant type : function converting variant to Python value
def variantConvertDate(v):
from . import dateconverter # this function only called when adodbapi is running
return dateconverter.DateObjectFromCOMDate(v)
def cvtString(variant): # use to get old action of adodbapi v1 if desired
if onIronPython:
try:
return variant.ToString()
except:
pass
return str(variant)
def cvtDecimal(variant): # better name
return _convertNumberWithCulture(variant, decimal.Decimal)
def cvtNumeric(variant): # older name - don't break old code
return cvtDecimal(variant)
def cvtFloat(variant):
return _convertNumberWithCulture(variant, float)
def _convertNumberWithCulture(variant, f):
try:
return f(variant)
except (ValueError, TypeError, decimal.InvalidOperation):
try:
europeVsUS = str(variant).replace(",", ".")
return f(europeVsUS)
except (ValueError, TypeError, decimal.InvalidOperation):
pass
def cvtInt(variant):
return int(variant)
def cvtLong(variant): # only important in old versions where long and int differ
return int(variant)
def cvtBuffer(variant):
return bytes(variant)
def cvtUnicode(variant):
return str(variant)
def identity(x):
return x
def cvtUnusual(variant):
if verbose > 1:
sys.stderr.write("Conversion called for Unusual data=%s\n" % repr(variant))
if isinstance(variant, DateTime): # COMdate or System.Date
from .adodbapi import ( # this will only be called when adodbapi is in use, and very rarely
dateconverter,
)
return dateconverter.DateObjectFromCOMDate(variant)
return variant # cannot find conversion function -- just give the data to the user
def convert_to_python(variant, func): # convert DB value into Python value
if isinstance(variant, NullTypes): # IronPython Null or None
return None
return func(variant) # call the appropriate conversion function
class MultiMap(dict): # builds a dictionary from {(sequence,of,keys) : function}
"""A dictionary of ado.type : function -- but you can set multiple items by passing a sequence of keys"""
# useful for defining conversion functions for groups of similar data types.
def __init__(self, aDict):
for k, v in list(aDict.items()):
self[k] = v # we must call __setitem__
def __setitem__(self, adoType, cvtFn):
"set a single item, or a whole sequence of items"
try: # user passed us a sequence, set them individually
for type in adoType:
dict.__setitem__(self, type, cvtFn)
except TypeError: # a single value fails attempt to iterate
dict.__setitem__(self, adoType, cvtFn)
# initialize variantConversions dictionary used to convert SQL to Python
# this is the dictionary of default conversion functions, built by the class above.
# this becomes a class attribute for the Connection, and that attribute is used
# to build the list of column conversion functions for the Cursor
variantConversions = MultiMap(
{
adoDateTimeTypes: variantConvertDate,
adoApproximateNumericTypes: cvtFloat,
adoExactNumericTypes: cvtDecimal, # use to force decimal rather than unicode
adoLongTypes: cvtLong,
adoIntegerTypes: cvtInt,
adoRowIdTypes: cvtInt,
adoStringTypes: identity,
adoBinaryTypes: cvtBuffer,
adoRemainingTypes: cvtUnusual,
}
)
# # # # # classes to emulate the result of cursor.fetchxxx() as a sequence of sequences # # # # #
# "an ENUM of how my low level records are laid out"
RS_WIN_32, RS_ARRAY, RS_REMOTE = list(range(1, 4))
class SQLrow(object): # a single database row
# class to emulate a sequence, so that a column may be retrieved by either number or name
def __init__(self, rows, index): # "rows" is an _SQLrows object, index is which row
self.rows = rows # parent 'fetch' container object
self.index = index # my row number within parent
def __getattr__(self, name): # used for row.columnName type of value access
try:
return self._getValue(self.rows.columnNames[name.lower()])
except KeyError:
raise AttributeError('Unknown column name "{}"'.format(name))
def _getValue(self, key): # key must be an integer
if (
self.rows.recordset_format == RS_ARRAY
): # retrieve from two-dimensional array
v = self.rows.ado_results[key, self.index]
elif self.rows.recordset_format == RS_REMOTE:
v = self.rows.ado_results[self.index][key]
else: # pywin32 - retrieve from tuple of tuples
v = self.rows.ado_results[key][self.index]
if self.rows.converters is NotImplemented:
return v
return convert_to_python(v, self.rows.converters[key])
def __len__(self):
return self.rows.numberOfColumns
def __getitem__(self, key): # used for row[key] type of value access
if isinstance(key, int): # normal row[1] designation
try:
return self._getValue(key)
except IndexError:
raise
if isinstance(key, slice):
indices = key.indices(self.rows.numberOfColumns)
vl = [self._getValue(i) for i in range(*indices)]
return tuple(vl)
try:
return self._getValue(
self.rows.columnNames[key.lower()]
) # extension row[columnName] designation
except (KeyError, TypeError):
er, st, tr = sys.exc_info()
raise er(
'No such key as "%s" in %s' % (repr(key), self.__repr__())
).with_traceback(tr)
def __iter__(self):
return iter(self.__next__())
def __next__(self):
for n in range(self.rows.numberOfColumns):
yield self._getValue(n)
def __repr__(self): # create a human readable representation
taglist = sorted(list(self.rows.columnNames.items()), key=lambda x: x[1])
s = "<SQLrow={"
for name, i in taglist:
s += name + ":" + repr(self._getValue(i)) + ", "
return s[:-2] + "}>"
def __str__(self): # create a pretty human readable representation
return str(
tuple(str(self._getValue(i)) for i in range(self.rows.numberOfColumns))
)
# TO-DO implement pickling an SQLrow directly
# def __getstate__(self): return self.__dict__
# def __setstate__(self, d): self.__dict__.update(d)
# which basically tell pickle to treat your class just like a normal one,
# taking self.__dict__ as representing the whole of the instance state,
# despite the existence of the __getattr__.
# # # #
class SQLrows(object):
# class to emulate a sequence for multiple rows using a container object
def __init__(self, ado_results, numberOfRows, cursor):
self.ado_results = ado_results # raw result of SQL get
try:
self.recordset_format = cursor.recordset_format
self.numberOfColumns = cursor.numberOfColumns
self.converters = cursor.converters
self.columnNames = cursor.columnNames
except AttributeError:
self.recordset_format = RS_ARRAY
self.numberOfColumns = 0
self.converters = []
self.columnNames = {}
self.numberOfRows = numberOfRows
def __len__(self):
return self.numberOfRows
def __getitem__(self, item): # used for row or row,column access
if not self.ado_results:
return []
if isinstance(item, slice): # will return a list of row objects
indices = item.indices(self.numberOfRows)
return [SQLrow(self, k) for k in range(*indices)]
elif isinstance(item, tuple) and len(item) == 2:
# d = some_rowsObject[i,j] will return a datum from a two-dimension address
i, j = item
if not isinstance(j, int):
try:
j = self.columnNames[j.lower()] # convert named column to numeric
except KeyError:
raise KeyError('adodbapi: no such column name as "%s"' % repr(j))
if self.recordset_format == RS_ARRAY: # retrieve from two-dimensional array
v = self.ado_results[j, i]
elif self.recordset_format == RS_REMOTE:
v = self.ado_results[i][j]
else: # pywin32 - retrieve from tuple of tuples
v = self.ado_results[j][i]
if self.converters is NotImplemented:
return v
return convert_to_python(v, self.converters[j])
else:
row = SQLrow(self, item) # new row descriptor
return row
def __iter__(self):
return iter(self.__next__())
def __next__(self):
for n in range(self.numberOfRows):
row = SQLrow(self, n)
yield row
# # # # #
# # # # # functions to re-format SQL requests to other paramstyle requirements # # # # # # # # # #
def changeNamedToQmark(
op,
): # convert from 'named' paramstyle to ADO required '?'mark parameters
outOp = ""
outparms = []
chunks = op.split(
"'"
) # quote all literals -- odd numbered list results are literals.
inQuotes = False
for chunk in chunks:
if inQuotes: # this is inside a quote
if chunk == "": # double apostrophe to quote one apostrophe
outOp = outOp[:-1] # so take one away
else:
outOp += "'" + chunk + "'" # else pass the quoted string as is.
else: # is SQL code -- look for a :namedParameter
while chunk: # some SQL string remains
sp = chunk.split(":", 1)
outOp += sp[0] # concat the part up to the :
s = ""
try:
chunk = sp[1]
except IndexError:
chunk = None
if chunk: # there was a parameter - parse it out
i = 0
c = chunk[0]
while c.isalnum() or c == "_":
i += 1
try:
c = chunk[i]
except IndexError:
break
s = chunk[:i]
chunk = chunk[i:]
if s:
outparms.append(s) # list the parameters in order
outOp += "?" # put in the Qmark
inQuotes = not inQuotes
return outOp, outparms
def changeFormatToQmark(
op,
): # convert from 'format' paramstyle to ADO required '?'mark parameters
outOp = ""
outparams = []
chunks = op.split(
"'"
) # quote all literals -- odd numbered list results are literals.
inQuotes = False
for chunk in chunks:
if inQuotes:
if (
outOp != "" and chunk == ""
): # he used a double apostrophe to quote one apostrophe
outOp = outOp[:-1] # so take one away
else:
outOp += "'" + chunk + "'" # else pass the quoted string as is.
else: # is SQL code -- look for a %s parameter
if "%(" in chunk: # ugh! pyformat!
while chunk: # some SQL string remains
sp = chunk.split("%(", 1)
outOp += sp[0] # concat the part up to the %
if len(sp) > 1:
try:
s, chunk = sp[1].split(")s", 1) # find the ')s'
except ValueError:
raise ProgrammingError(
'Pyformat SQL has incorrect format near "%s"' % chunk
)
outparams.append(s)
outOp += "?" # put in the Qmark
else:
chunk = None
else: # proper '%s' format
sp = chunk.split("%s") # make each %s
outOp += "?".join(sp) # into ?
inQuotes = not inQuotes # every other chunk is a quoted string
return outOp, outparams