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.claude-flow/
.claude/
.mcp.json
CLAUDE.md
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/* -*- indent-tabs-mode: nil; tab-width: 4; -*- */
/* Greenlet object interface */
#ifndef Py_GREENLETOBJECT_H
#define Py_GREENLETOBJECT_H
#include <Python.h>
#ifdef __cplusplus
extern "C" {
#endif
/* This is deprecated and undocumented. It does not change. */
#define GREENLET_VERSION "1.0.0"
#ifndef GREENLET_MODULE
#define implementation_ptr_t void*
#endif
typedef struct _greenlet {
PyObject_HEAD
PyObject* weakreflist;
PyObject* dict;
implementation_ptr_t pimpl;
} PyGreenlet;
#define PyGreenlet_Check(op) (op && PyObject_TypeCheck(op, &PyGreenlet_Type))
/* C API functions */
/* Total number of symbols that are exported */
#define PyGreenlet_API_pointers 12
#define PyGreenlet_Type_NUM 0
#define PyExc_GreenletError_NUM 1
#define PyExc_GreenletExit_NUM 2
#define PyGreenlet_New_NUM 3
#define PyGreenlet_GetCurrent_NUM 4
#define PyGreenlet_Throw_NUM 5
#define PyGreenlet_Switch_NUM 6
#define PyGreenlet_SetParent_NUM 7
#define PyGreenlet_MAIN_NUM 8
#define PyGreenlet_STARTED_NUM 9
#define PyGreenlet_ACTIVE_NUM 10
#define PyGreenlet_GET_PARENT_NUM 11
#ifndef GREENLET_MODULE
/* This section is used by modules that uses the greenlet C API */
static void** _PyGreenlet_API = NULL;
# define PyGreenlet_Type \
(*(PyTypeObject*)_PyGreenlet_API[PyGreenlet_Type_NUM])
# define PyExc_GreenletError \
((PyObject*)_PyGreenlet_API[PyExc_GreenletError_NUM])
# define PyExc_GreenletExit \
((PyObject*)_PyGreenlet_API[PyExc_GreenletExit_NUM])
/*
* PyGreenlet_New(PyObject *args)
*
* greenlet.greenlet(run, parent=None)
*/
# define PyGreenlet_New \
(*(PyGreenlet * (*)(PyObject * run, PyGreenlet * parent)) \
_PyGreenlet_API[PyGreenlet_New_NUM])
/*
* PyGreenlet_GetCurrent(void)
*
* greenlet.getcurrent()
*/
# define PyGreenlet_GetCurrent \
(*(PyGreenlet * (*)(void)) _PyGreenlet_API[PyGreenlet_GetCurrent_NUM])
/*
* PyGreenlet_Throw(
* PyGreenlet *greenlet,
* PyObject *typ,
* PyObject *val,
* PyObject *tb)
*
* g.throw(...)
*/
# define PyGreenlet_Throw \
(*(PyObject * (*)(PyGreenlet * self, \
PyObject * typ, \
PyObject * val, \
PyObject * tb)) \
_PyGreenlet_API[PyGreenlet_Throw_NUM])
/*
* PyGreenlet_Switch(PyGreenlet *greenlet, PyObject *args)
*
* g.switch(*args, **kwargs)
*/
# define PyGreenlet_Switch \
(*(PyObject * \
(*)(PyGreenlet * greenlet, PyObject * args, PyObject * kwargs)) \
_PyGreenlet_API[PyGreenlet_Switch_NUM])
/*
* PyGreenlet_SetParent(PyObject *greenlet, PyObject *new_parent)
*
* g.parent = new_parent
*/
# define PyGreenlet_SetParent \
(*(int (*)(PyGreenlet * greenlet, PyGreenlet * nparent)) \
_PyGreenlet_API[PyGreenlet_SetParent_NUM])
/*
* PyGreenlet_GetParent(PyObject* greenlet)
*
* return greenlet.parent;
*
* This could return NULL even if there is no exception active.
* If it does not return NULL, you are responsible for decrementing the
* reference count.
*/
# define PyGreenlet_GetParent \
(*(PyGreenlet* (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_GET_PARENT_NUM])
/*
* deprecated, undocumented alias.
*/
# define PyGreenlet_GET_PARENT PyGreenlet_GetParent
# define PyGreenlet_MAIN \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_MAIN_NUM])
# define PyGreenlet_STARTED \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_STARTED_NUM])
# define PyGreenlet_ACTIVE \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_ACTIVE_NUM])
/* Macro that imports greenlet and initializes C API */
/* NOTE: This has actually moved to ``greenlet._greenlet._C_API``, but we
keep the older definition to be sure older code that might have a copy of
the header still works. */
# define PyGreenlet_Import() \
{ \
_PyGreenlet_API = (void**)PyCapsule_Import("greenlet._C_API", 0); \
}
#endif /* GREENLET_MODULE */
#ifdef __cplusplus
}
#endif
#endif /* !Py_GREENLETOBJECT_H */
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# This is a stub package designed to roughly emulate the _yaml
# extension module, which previously existed as a standalone module
# and has been moved into the `yaml` package namespace.
# It does not perfectly mimic its old counterpart, but should get
# close enough for anyone who's relying on it even when they shouldn't.
import yaml
# in some circumstances, the yaml module we imoprted may be from a different version, so we need
# to tread carefully when poking at it here (it may not have the attributes we expect)
if not getattr(yaml, '__with_libyaml__', False):
from sys import version_info
exc = ModuleNotFoundError if version_info >= (3, 6) else ImportError
raise exc("No module named '_yaml'")
else:
from yaml._yaml import *
import warnings
warnings.warn(
'The _yaml extension module is now located at yaml._yaml'
' and its location is subject to change. To use the'
' LibYAML-based parser and emitter, import from `yaml`:'
' `from yaml import CLoader as Loader, CDumper as Dumper`.',
DeprecationWarning
)
del warnings
# Don't `del yaml` here because yaml is actually an existing
# namespace member of _yaml.
__name__ = '_yaml'
# If the module is top-level (i.e. not a part of any specific package)
# then the attribute should be set to ''.
# https://docs.python.org/3.8/library/types.html
__package__ = ''
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# nopycln: file # undecidable cases due to explicit re-exports https://github.com/hadialqattan/pycln/issues/205
"""adodbapi - A python DB API 2.0 (PEP 249) interface to Microsoft ADO
Copyright (C) 2002 Henrik Ekelund, version 2.1 by Vernon Cole
* https://sourceforge.net/projects/adodbapi
"""
import time
# Re-exports to keep backward compatibility with existing code
from .adodbapi import (
Connection as Connection,
Cursor as Cursor,
__version__,
connect as connect,
dateconverter,
)
from .apibase import (
BINARY as BINARY,
DATETIME as DATETIME,
NUMBER as NUMBER,
ROWID as ROWID,
STRING as STRING,
DatabaseError as DatabaseError,
DataError as DataError,
Error as Error,
FetchFailedError as FetchFailedError,
IntegrityError as IntegrityError,
InterfaceError as InterfaceError,
InternalError as InternalError,
NotSupportedError as NotSupportedError,
OperationalError as OperationalError,
ProgrammingError as ProgrammingError,
Warning as Warning,
apilevel as apilevel,
paramstyle as paramstyle,
threadsafety as threadsafety,
)
def Binary(aString):
"""This function constructs an object capable of holding a binary (long) string value."""
return bytes(aString)
def Date(year, month, day):
"This function constructs an object holding a date value."
return 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)
def Timestamp(year, month, day, hour, minute, second):
"This function constructs an object holding a time stamp value."
return dateconverter.Timestamp(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])
version = "adodbapi v" + __version__
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# ADO enumerated constants documented on MSDN:
# https://learn.microsoft.com/en-us/sql/ado/reference/ado-api/ado-enumerated-constants
# TODO: Update to https://learn.microsoft.com/en-us/sql/ado/reference/ado-api/ado-enumerated-constants
# IsolationLevelEnum
adXactUnspecified = -1
adXactBrowse = 0x100
adXactChaos = 0x10
adXactCursorStability = 0x1000
adXactIsolated = 0x100000
adXactReadCommitted = 0x1000
adXactReadUncommitted = 0x100
adXactRepeatableRead = 0x10000
adXactSerializable = 0x100000
# CursorLocationEnum
adUseClient = 3
adUseServer = 2
# CursorTypeEnum
adOpenDynamic = 2
adOpenForwardOnly = 0
adOpenKeyset = 1
adOpenStatic = 3
adOpenUnspecified = -1
# CommandTypeEnum
adCmdText = 1
adCmdStoredProc = 4
adSchemaTables = 20
# ParameterDirectionEnum
adParamInput = 1
adParamInputOutput = 3
adParamOutput = 2
adParamReturnValue = 4
adParamUnknown = 0
directions = {
0: "Unknown",
1: "Input",
2: "Output",
3: "InputOutput",
4: "Return",
}
def ado_direction_name(ado_dir):
try:
return "adParam" + directions[ado_dir]
except:
return f"unknown direction ({ado_dir})"
# ObjectStateEnum
adStateClosed = 0
adStateOpen = 1
adStateConnecting = 2
adStateExecuting = 4
adStateFetching = 8
# FieldAttributeEnum
adFldMayBeNull = 0x40
# ConnectModeEnum
adModeUnknown = 0
adModeRead = 1
adModeWrite = 2
adModeReadWrite = 3
adModeShareDenyRead = 4
adModeShareDenyWrite = 8
adModeShareExclusive = 12
adModeShareDenyNone = 16
adModeRecursive = 0x400000
# XactAttributeEnum
adXactCommitRetaining = 131072
adXactAbortRetaining = 262144
ado_error_TIMEOUT = -2147217871
# DataTypeEnum - ADO Data types documented at:
# http://msdn2.microsoft.com/en-us/library/ms675318.aspx
# TODO: Update to https://learn.microsoft.com/en-us/sql/ado/reference/ado-api/datatypeenum
adArray = 0x2000
adEmpty = 0x0
adBSTR = 0x8
adBigInt = 0x14
adBinary = 0x80
adBoolean = 0xB
adChapter = 0x88
adChar = 0x81
adCurrency = 0x6
adDBDate = 0x85
adDBTime = 0x86
adDBTimeStamp = 0x87
adDate = 0x7
adDecimal = 0xE
adDouble = 0x5
adError = 0xA
adFileTime = 0x40
adGUID = 0x48
adIDispatch = 0x9
adIUnknown = 0xD
adInteger = 0x3
adLongVarBinary = 0xCD
adLongVarChar = 0xC9
adLongVarWChar = 0xCB
adNumeric = 0x83
adPropVariant = 0x8A
adSingle = 0x4
adSmallInt = 0x2
adTinyInt = 0x10
adUnsignedBigInt = 0x15
adUnsignedInt = 0x13
adUnsignedSmallInt = 0x12
adUnsignedTinyInt = 0x11
adUserDefined = 0x84
adVarBinary = 0xCC
adVarChar = 0xC8
adVarNumeric = 0x8B
adVarWChar = 0xCA
adVariant = 0xC
adWChar = 0x82
# Additional constants used by introspection but not ADO itself
AUTO_FIELD_MARKER = -1000
adTypeNames = {
adBSTR: "adBSTR",
adBigInt: "adBigInt",
adBinary: "adBinary",
adBoolean: "adBoolean",
adChapter: "adChapter",
adChar: "adChar",
adCurrency: "adCurrency",
adDBDate: "adDBDate",
adDBTime: "adDBTime",
adDBTimeStamp: "adDBTimeStamp",
adDate: "adDate",
adDecimal: "adDecimal",
adDouble: "adDouble",
adEmpty: "adEmpty",
adError: "adError",
adFileTime: "adFileTime",
adGUID: "adGUID",
adIDispatch: "adIDispatch",
adIUnknown: "adIUnknown",
adInteger: "adInteger",
adLongVarBinary: "adLongVarBinary",
adLongVarChar: "adLongVarChar",
adLongVarWChar: "adLongVarWChar",
adNumeric: "adNumeric",
adPropVariant: "adPropVariant",
adSingle: "adSingle",
adSmallInt: "adSmallInt",
adTinyInt: "adTinyInt",
adUnsignedBigInt: "adUnsignedBigInt",
adUnsignedInt: "adUnsignedInt",
adUnsignedSmallInt: "adUnsignedSmallInt",
adUnsignedTinyInt: "adUnsignedTinyInt",
adUserDefined: "adUserDefined",
adVarBinary: "adVarBinary",
adVarChar: "adVarChar",
adVarNumeric: "adVarNumeric",
adVarWChar: "adVarWChar",
adVariant: "adVariant",
adWChar: "adWChar",
}
def ado_type_name(ado_type):
return adTypeNames.get(ado_type, f"unknown type ({ado_type})")
# here in decimal, sorted by value
# adEmpty 0 Specifies no value (DBTYPE_EMPTY).
# adSmallInt 2 Indicates a two-byte signed integer (DBTYPE_I2).
# adInteger 3 Indicates a four-byte signed integer (DBTYPE_I4).
# adSingle 4 Indicates a single-precision floating-point value (DBTYPE_R4).
# adDouble 5 Indicates a double-precision floating-point value (DBTYPE_R8).
# adCurrency 6 Indicates a currency value (DBTYPE_CY). Currency is a fixed-point number
# with four digits to the right of the decimal point. It is stored in an eight-byte signed integer scaled by 10,000.
# adDate 7 Indicates a date value (DBTYPE_DATE). A date is stored as a double, the whole part of which is
# the number of days since December 30, 1899, and the fractional part of which is the fraction of a day.
# adBSTR 8 Indicates a null-terminated character string (Unicode) (DBTYPE_BSTR).
# adIDispatch 9 Indicates a pointer to an IDispatch interface on a COM object (DBTYPE_IDISPATCH).
# adError 10 Indicates a 32-bit error code (DBTYPE_ERROR).
# adBoolean 11 Indicates a boolean value (DBTYPE_BOOL).
# adVariant 12 Indicates an Automation Variant (DBTYPE_VARIANT).
# adIUnknown 13 Indicates a pointer to an IUnknown interface on a COM object (DBTYPE_IUNKNOWN).
# adDecimal 14 Indicates an exact numeric value with a fixed precision and scale (DBTYPE_DECIMAL).
# adTinyInt 16 Indicates a one-byte signed integer (DBTYPE_I1).
# adUnsignedTinyInt 17 Indicates a one-byte unsigned integer (DBTYPE_UI1).
# adUnsignedSmallInt 18 Indicates a two-byte unsigned integer (DBTYPE_UI2).
# adUnsignedInt 19 Indicates a four-byte unsigned integer (DBTYPE_UI4).
# adBigInt 20 Indicates an eight-byte signed integer (DBTYPE_I8).
# adUnsignedBigInt 21 Indicates an eight-byte unsigned integer (DBTYPE_UI8).
# adFileTime 64 Indicates a 64-bit value representing the number of 100-nanosecond intervals since
# January 1, 1601 (DBTYPE_FILETIME).
# adGUID 72 Indicates a globally unique identifier (GUID) (DBTYPE_GUID).
# adBinary 128 Indicates a binary value (DBTYPE_BYTES).
# adChar 129 Indicates a string value (DBTYPE_STR).
# adWChar 130 Indicates a null-terminated Unicode character string (DBTYPE_WSTR).
# adNumeric 131 Indicates an exact numeric value with a fixed precision and scale (DBTYPE_NUMERIC).
# adUserDefined 132 Indicates a user-defined variable (DBTYPE_UDT).
# adUserDefined 132 Indicates a user-defined variable (DBTYPE_UDT).
# adDBDate 133 Indicates a date value (yyyymmdd) (DBTYPE_DBDATE).
# adDBTime 134 Indicates a time value (hhmmss) (DBTYPE_DBTIME).
# adDBTimeStamp 135 Indicates a date/time stamp (yyyymmddhhmmss plus a fraction in billionths) (DBTYPE_DBTIMESTAMP).
# adChapter 136 Indicates a four-byte chapter value that identifies rows in a child rowset (DBTYPE_HCHAPTER).
# adPropVariant 138 Indicates an Automation PROPVARIANT (DBTYPE_PROP_VARIANT).
# adVarNumeric 139 Indicates a numeric value (Parameter object only).
# adVarChar 200 Indicates a string value (Parameter object only).
# adLongVarChar 201 Indicates a long string value (Parameter object only).
# adVarWChar 202 Indicates a null-terminated Unicode character string (Parameter object only).
# adLongVarWChar 203 Indicates a long null-terminated Unicode string value (Parameter object only).
# adVarBinary 204 Indicates a binary value (Parameter object only).
# adLongVarBinary 205 Indicates a long binary value (Parameter object only).
# adArray (Does not apply to ADOX.) 0x2000 A flag value, always combined with another data type constant,
# that indicates an array of that other data type.
# Error codes to names
adoErrors = {
0xE7B: "adErrBoundToCommand",
0xE94: "adErrCannotComplete",
0xEA4: "adErrCantChangeConnection",
0xC94: "adErrCantChangeProvider",
0xE8C: "adErrCantConvertvalue",
0xE8D: "adErrCantCreate",
0xEA3: "adErrCatalogNotSet",
0xE8E: "adErrColumnNotOnThisRow",
0xD5D: "adErrDataConversion",
0xE89: "adErrDataOverflow",
0xE9A: "adErrDelResOutOfScope",
0xEA6: "adErrDenyNotSupported",
0xEA7: "adErrDenyTypeNotSupported",
0xCB3: "adErrFeatureNotAvailable",
0xEA5: "adErrFieldsUpdateFailed",
0xC93: "adErrIllegalOperation",
0xCAE: "adErrInTransaction",
0xE87: "adErrIntegrityViolation",
0xBB9: "adErrInvalidArgument",
0xE7D: "adErrInvalidConnection",
0xE7C: "adErrInvalidParamInfo",
0xE82: "adErrInvalidTransaction",
0xE91: "adErrInvalidURL",
0xCC1: "adErrItemNotFound",
0xBCD: "adErrNoCurrentRecord",
0xE83: "adErrNotExecuting",
0xE7E: "adErrNotReentrant",
0xE78: "adErrObjectClosed",
0xD27: "adErrObjectInCollection",
0xD5C: "adErrObjectNotSet",
0xE79: "adErrObjectOpen",
0xBBA: "adErrOpeningFile",
0xE80: "adErrOperationCancelled",
0xE96: "adErrOutOfSpace",
0xE88: "adErrPermissionDenied",
0xE9E: "adErrPropConflicting",
0xE9B: "adErrPropInvalidColumn",
0xE9C: "adErrPropInvalidOption",
0xE9D: "adErrPropInvalidValue",
0xE9F: "adErrPropNotAllSettable",
0xEA0: "adErrPropNotSet",
0xEA1: "adErrPropNotSettable",
0xEA2: "adErrPropNotSupported",
0xBB8: "adErrProviderFailed",
0xE7A: "adErrProviderNotFound",
0xBBB: "adErrReadFile",
0xE93: "adErrResourceExists",
0xE92: "adErrResourceLocked",
0xE97: "adErrResourceOutOfScope",
0xE8A: "adErrSchemaViolation",
0xE8B: "adErrSignMismatch",
0xE81: "adErrStillConnecting",
0xE7F: "adErrStillExecuting",
0xE90: "adErrTreePermissionDenied",
0xE8F: "adErrURLDoesNotExist",
0xE99: "adErrURLNamedRowDoesNotExist",
0xE98: "adErrUnavailable",
0xE84: "adErrUnsafeOperation",
0xE95: "adErrVolumeNotFound",
0xBBC: "adErrWriteFile",
}
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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
* https://sourceforge.net/projects/pywin32
* https://sourceforge.net/projects/adodbapi
"""
from __future__ import annotations
import datetime
import decimal
import numbers
import sys
import time
from collections.abc import Callable, Iterable, Mapping
# noinspection PyUnresolvedReferences
from . import ado_consts as adc
verbose = False # debugging flag
# ------- 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)
class Error(Exception):
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(Exception):
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 = bytes(aString)
# return b
# ----- Time converters ----------------------------------------------
class TimeConverter: # 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 = {
# Dynamically get the types as the methods may be overriden
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:
raise ValueError(f'Cannot convert "{obj!r}" to COMdate.')
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: # but may be time.struct_time
s = time.strftime("%Y-%m-%d %H:%M:%S", obj)
except:
raise ValueError(f'Cannot convert "{obj!r}" to isoformat')
return s
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
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()
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:
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 = {
memoryview: 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
# maybe it is one of our supported Date/Time types
if tp in dateconverter.types:
return adc.adDate
# otherwise, attempt to discern the type by probing the data object itself -- to handle duck typing
if isinstance(d, str):
return adc.adBSTR
if isinstance(d, numbers.Integral):
return adc.adBigInt
if isinstance(d, numbers.Real):
return adc.adDouble
raise DataError(f'cannot convert "{d!r}" (type={tp}) to ADO')
# # # # # # # # # # # # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# 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
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(f"Conversion called for Unusual data={variant!r}\n")
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 variant is None:
return None
return func(variant) # call the appropriate conversion function
class MultiMap(dict[int, Callable[[object], object]]):
# builds a dictionary from {(iterable,of,keys) : function}
"""A dictionary of ado.type : function
-- but you can set multiple items by passing an iterable of keys"""
# useful for defining conversion functions for groups of similar data types.
def __init__(self, aDict: Mapping[Iterable[int] | int, Callable[[object], object]]):
for k, v in aDict.items():
self[k] = v # we must call __setitem__
def __setitem__(
self, adoType: Iterable[int] | int, cvtFn: Callable[[object], object]
):
"set a single item, or a whole iterable of items"
if isinstance(adoType, Iterable):
# user passed us an iterable, set them individually
for type in adoType:
dict.__setitem__(self, type, cvtFn)
else:
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: # 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(f'No such key as "{key!r}" in {self!r}').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 += f"{name}:{self._getValue(i)!r}, "
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:
# 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(f"adodbapi: no such column name as {j!r}")
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
@@ -0,0 +1,72 @@
"""db_print.py -- a simple demo for ADO database reads."""
import sys
import adodbapi.ado_consts as adc
cmd_args = ("filename", "table_name")
if "help" in sys.argv:
print("possible settings keywords are:", cmd_args)
sys.exit()
kw_args = {} # pick up filename and proxy address from command line (optionally)
for arg in sys.argv:
s = arg.split("=")
if len(s) > 1:
if s[0] in cmd_args:
kw_args[s[0]] = s[1]
kw_args.setdefault(
"filename", "test.mdb"
) # assumes server is running from examples folder
kw_args.setdefault("table_name", "Products") # the name of the demo table
# the server needs to select the provider based on his Python installation
provider_switch = ["provider", "Microsoft.ACE.OLEDB.12.0", "Microsoft.Jet.OLEDB.4.0"]
# ------------------------ START HERE -------------------------------------
# create the connection
constr = "Provider=%(provider)s;Data Source=%(filename)s"
import adodbapi as db
con = db.connect(constr, kw_args, macro_is64bit=provider_switch)
if kw_args["table_name"] == "?":
print("The tables in your database are:")
for name in con.get_table_names():
print(name)
else:
# make a cursor on the connection
with con.cursor() as c:
# run an SQL statement on the cursor
sql = "select * from %s" % kw_args["table_name"]
print('performing query="%s"' % sql)
c.execute(sql)
# check the results
print(
'result rowcount shows as= %d. (Note: -1 means "not known")' % (c.rowcount,)
)
print("")
print("result data description is:")
print(" NAME Type DispSize IntrnlSz Prec Scale Null?")
for d in c.description:
print(
("%16s %-12s %8s %8d %4d %5d %s")
% (d[0], adc.adTypeNames[d[1]], d[2], d[3], d[4], d[5], bool(d[6]))
)
print("")
print("str() of first five records are...")
# get the results
db = c.fetchmany(5)
# print them
for rec in db:
print(rec)
print("")
print("repr() of next row is...")
print(repr(c.fetchone()))
print("")
con.close()
@@ -0,0 +1,21 @@
"""db_table_names.py -- a simple demo for ADO database table listing."""
import sys
import adodbapi
try:
databasename = sys.argv[1]
except IndexError:
databasename = "test.mdb"
provider = ["prv", "Microsoft.ACE.OLEDB.12.0", "Microsoft.Jet.OLEDB.4.0"]
constr = "Provider=%(prv)s;Data Source=%(db)s"
# create the connection
con = adodbapi.connect(constr, db=databasename, macro_is64bit=provider)
print("Table names in= %s" % databasename)
for table in con.get_table_names():
print(table)
@@ -0,0 +1,41 @@
import sys
import adodbapi
try:
import adodbapi.is64bit as is64bit
is64 = is64bit.Python()
except ImportError:
is64 = False
if is64:
driver = "Microsoft.ACE.OLEDB.12.0"
else:
driver = "Microsoft.Jet.OLEDB.4.0"
extended = 'Extended Properties="Excel 8.0;HDR=Yes;IMEX=1;"'
try: # first command line argument will be xls file name -- default to the one written by xls_write.py
filename = sys.argv[1]
except IndexError:
filename = "xx.xls"
constr = "Provider=%s;Data Source=%s;%s" % (driver, filename, extended)
conn = adodbapi.connect(constr)
try: # second command line argument will be worksheet name -- default to first worksheet
sheet = sys.argv[2]
except IndexError:
# use ADO feature to get the name of the first worksheet
sheet = conn.get_table_names()[0]
print("Shreadsheet=%s Worksheet=%s" % (filename, sheet))
print("------------------------------------------------------------")
crsr = conn.cursor()
sql = "SELECT * from [%s]" % sheet
crsr.execute(sql)
for row in crsr.fetchmany(10):
print(repr(row))
crsr.close()
conn.close()
@@ -0,0 +1,41 @@
import datetime
import adodbapi
try:
import adodbapi.is64bit as is64bit
is64 = is64bit.Python()
except ImportError:
is64 = False # in case the user has an old version of adodbapi
if is64:
driver = "Microsoft.ACE.OLEDB.12.0"
else:
driver = "Microsoft.Jet.OLEDB.4.0"
filename = "xx.xls" # file will be created if it does not exist
extended = 'Extended Properties="Excel 8.0;Readonly=False;"'
constr = "Provider=%s;Data Source=%s;%s" % (driver, filename, extended)
conn = adodbapi.connect(constr)
with conn: # will auto commit if no errors
with conn.cursor() as crsr:
try:
crsr.execute("drop table SheetOne")
except:
pass # just is case there is one already there
# create the sheet and the header row and set the types for the columns
crsr.execute(
"create table SheetOne (Name varchar, Rank varchar, SrvcNum integer, Weight float, Birth date)"
)
sql = "INSERT INTO SheetOne (name, rank , srvcnum, weight, birth) values (?,?,?,?,?)"
data = ("Mike Murphy", "SSG", 123456789, 167.8, datetime.date(1922, 12, 27))
crsr.execute(sql, data) # write the first row of data
crsr.execute(
sql, ["John Jones", "Pvt", 987654321, 140.0, datetime.date(1921, 7, 4)]
) # another row of data
conn.close()
print("Created spreadsheet=%s worksheet=%s" % (filename, "SheetOne"))
@@ -0,0 +1,34 @@
"""is64bit.Python() --> boolean value of detected Python word size. is64bit.os() --> os build version"""
import sys
def Python():
return sys.maxsize > 2147483647
def os():
import platform
pm = platform.machine()
if pm != ".." and pm.endswith("64"): # recent 64 bit Python
return True
else:
import os
if "PROCESSOR_ARCHITEW6432" in os.environ:
return True # 32 bit program running on 64 bit Windows
try:
return os.environ["PROCESSOR_ARCHITECTURE"].endswith(
"64"
) # 64 bit Windows 64 bit program
except (IndexError, KeyError):
pass # not Windows
try:
return "64" in platform.architecture()[0] # this often works in Linux
except:
return False # is an older version of Python, assume also an older os (best we can guess)
if __name__ == "__main__":
print("is64bit.Python() =", Python(), "is64bit.os() =", os())
@@ -0,0 +1,505 @@
GNU LESSER GENERAL PUBLIC LICENSE
Version 2.1, February 1999
Copyright (C) 1991, 1999 Free Software Foundation, Inc.
59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
[This is the first released version of the Lesser GPL. It also counts
as the successor of the GNU Library Public License, version 2, hence
the version number 2.1.]
Preamble
The licenses for most software are designed to take away your
freedom to share and change it. By contrast, the GNU General Public
Licenses are intended to guarantee your freedom to share and change
free software--to make sure the software is free for all its users.
This license, the Lesser General Public License, applies to some
specially designated software packages--typically libraries--of the
Free Software Foundation and other authors who decide to use it. You
can use it too, but we suggest you first think carefully about whether
this license or the ordinary General Public License is the better
strategy to use in any particular case, based on the explanations below.
When we speak of free software, we are referring to freedom of use,
not price. Our General Public Licenses are designed to make sure that
you have the freedom to distribute copies of free software (and charge
for this service if you wish); that you receive source code or can get
it if you want it; that you can change the software and use pieces of
it in new free programs; and that you are informed that you can do
these things.
To protect your rights, we need to make restrictions that forbid
distributors to deny you these rights or to ask you to surrender these
rights. These restrictions translate to certain responsibilities for
you if you distribute copies of the library or if you modify it.
For example, if you distribute copies of the library, whether gratis
or for a fee, you must give the recipients all the rights that we gave
you. You must make sure that they, too, receive or can get the source
code. If you link other code with the library, you must provide
complete object files to the recipients, so that they can relink them
with the library after making changes to the library and recompiling
it. And you must show them these terms so they know their rights.
We protect your rights with a two-step method: (1) we copyright the
library, and (2) we offer you this license, which gives you legal
permission to copy, distribute and/or modify the library.
To protect each distributor, we want to make it very clear that
there is no warranty for the free library. Also, if the library is
modified by someone else and passed on, the recipients should know
that what they have is not the original version, so that the original
author's reputation will not be affected by problems that might be
introduced by others.
Finally, software patents pose a constant threat to the existence of
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@@ -0,0 +1,137 @@
"""a clumsy attempt at a macro language to let the programmer execute code on the server (ex: determine 64bit)"""
from . import is64bit
def macro_call(macro_name, args, kwargs):
"""allow the programmer to perform limited processing on the server by passing macro names and args
:new_key - the key name the macro will create
:args[0] - macro name
:args[1:] - any arguments
:code - the value of the keyword item
:kwargs - the connection keyword dictionary. ??key has been removed
--> the value to put in for kwargs['name'] = value
"""
if isinstance(args, (str, str)):
args = [
args
] # the user forgot to pass a sequence, so make a string into args[0]
new_key = args[0]
try:
if macro_name == "is64bit":
if is64bit.Python(): # if on 64 bit Python
return new_key, args[1] # return first argument
else:
try:
return new_key, args[2] # else return second argument (if defined)
except IndexError:
return new_key, "" # else return blank
elif (
macro_name == "getuser"
): # get the name of the user the server is logged in under
if not new_key in kwargs:
import getpass
return new_key, getpass.getuser()
elif macro_name == "getnode": # get the name of the computer running the server
import platform
try:
return new_key, args[1] % platform.node()
except IndexError:
return new_key, platform.node()
elif macro_name == "getenv": # expand the server's environment variable args[1]
import os
try:
dflt = args[2] # if not found, default from args[2]
except IndexError: # or blank
dflt = ""
return new_key, os.environ.get(args[1], dflt)
elif macro_name == "auto_security":
if (
not "user" in kwargs or not kwargs["user"]
): # missing, blank, or Null username
return new_key, "Integrated Security=SSPI"
return new_key, "User ID=%(user)s; Password=%(password)s" % kwargs
elif (
macro_name == "find_temp_test_path"
): # helper function for testing ado operation -- undocumented
import os
import tempfile
return new_key, os.path.join(
tempfile.gettempdir(), "adodbapi_test", args[1]
)
raise ValueError(f"Unknown connect string macro={macro_name}")
except:
raise ValueError(f"Error in macro processing {macro_name} {args!r}")
def process(
args, kwargs, expand_macros=False
): # --> connection string with keyword arguments processed.
"""attempts to inject arguments into a connection string using Python "%" operator for strings
co: adodbapi connection object
args: positional parameters from the .connect() call
kvargs: keyword arguments from the .connect() call
"""
try:
dsn = args[0]
except IndexError:
dsn = None
# as a convenience the first argument may be django settings
if isinstance(dsn, dict):
kwargs.update(dsn)
# the connection string is passed to the connection as part of the keyword dictionary
elif dsn:
kwargs["connection_string"] = dsn
try:
a1 = args[1]
except IndexError:
a1 = None
# historically, the second positional argument might be a timeout value
if isinstance(a1, int):
kwargs["timeout"] = a1
# if the second positional argument is a string, then it is user
elif isinstance(a1, str):
kwargs["user"] = a1
# if the second positional argument is a dictionary, use it as keyword arguments, too
elif isinstance(a1, dict):
kwargs.update(a1)
try:
kwargs["password"] = args[2] # the third positional argument is password
kwargs["host"] = args[3] # the fourth positional argument is host name
kwargs["database"] = args[4] # the fifth positional argument is database name
except IndexError:
pass
# make sure connection string is defined somehow
if not "connection_string" in kwargs:
try: # perhaps 'dsn' was defined
kwargs["connection_string"] = kwargs["dsn"]
except KeyError:
try: # as a last effort, use the "host" keyword
kwargs["connection_string"] = kwargs["host"]
except KeyError:
raise TypeError("Must define 'connection_string' for ado connections")
if expand_macros:
for kwarg in list(kwargs.keys()):
if kwarg.startswith("macro_"): # If a key defines a macro
macro_name = kwarg[6:] # name without the "macro_"
macro_code = kwargs.pop(
kwarg
) # we remove the macro_key and get the code to execute
new_key, rslt = macro_call(
macro_name, macro_code, kwargs
) # run the code in the local context
kwargs[new_key] = rslt # put the result back in the keywords dict
return kwargs
@@ -0,0 +1,88 @@
Project
-------
adodbapi
A Python DB-API 2.0 (PEP-249) module that makes it easy to use Microsoft ADO
for connecting with databases and other data sources using CPython.
Home page: <https://sourceforge.net/projects/adodbapi>
Features:
* 100% DB-API 2.0 (PEP-249) compliant (including most extensions and recommendations).
* Includes pyunit testcases that describe how to use the module.
* Fully implemented in Python. -- runs in current versions of Python 3
* Licensed under the LGPL license, which means that it can be used freely even in commercial programs subject to certain restrictions.
* The user can choose between paramstyles: 'qmark' 'named' 'format' 'pyformat' 'dynamic'
* Supports data retrieval by column name e.g.:
for row in myCurser.execute("select name,age from students"):
print("Student", row.name, "is", row.age, "years old.")
* Supports user-definable system-to-Python data conversion functions (selected by ADO data type, or by column)
Prerequisites:
* C Python 3.6 or higher
and pywin32 (Mark Hammond's python for windows extensions.)
Installation:
* (C-Python on Windows): Install pywin32 (`python -m pip install pywin32`) which includes adodbapi.
* (IronPython on Windows): Download adodbapi from https://sourceforge.net/projects/adodbapi/ . Unpack the zip.
NOTE: ...........
If you do not like the new default operation of returning Numeric columns as decimal.Decimal,
you can select other options by the user defined conversion feature.
Try:
adodbapi.apibase.variantConversions[adodbapi.ado_consts.adNumeric] = adodbapi.apibase.cvtString
or:
adodbapi.apibase.variantConversions[adodbapi.ado_consts.adNumeric] = adodbapi.apibase.cvtFloat
or:
adodbapi.apibase.variantConversions[adodbapi.ado_consts.adNumeric] = write_your_own_conversion_function
............
notes for 2.6.2:
The definitive source has been moved to https://github.com/mhammond/pywin32/tree/main/adodbapi.
Remote has proven too hard to configure and test with Pyro4. I am moving it to unsupported status
until I can change to a different connection method.
what's new in version 2.6
A cursor.prepare() method and support for prepared SQL statements.
Lots of refactoring, especially of the Remote and Server modules (still to be treated as Beta code).
The quick start document 'quick_reference.odt' will export as a nice-looking pdf.
Added paramstyles 'pyformat' and 'dynamic'. If your 'paramstyle' is 'named' you _must_ pass a dictionary of
parameters to your .execute() method. If your 'paramstyle' is 'format' 'pyformat' or 'dynamic', you _may_
pass a dictionary of parameters -- provided your SQL operation string is formatted correctly.
what's new in version 2.5
Remote module: (works on Linux!) allows a Windows computer to serve ADO databases via PyRO
Server module: PyRO server for ADO. Run using a command like= C:>python -m adodbapi.server
(server has simple connection string macros: is64bit, getuser, sql_provider, auto_security)
Brief documentation included. See adodbapi/examples folder adodbapi.rtf
New connection method conn.get_table_names() --> list of names of tables in database
Vastly refactored. Data conversion things have been moved to the new adodbapi.apibase module.
Many former module-level attributes are now class attributes. (Should be more thread-safe)
Connection objects are now context managers for transactions and will commit or rollback.
Cursor objects are context managers and will automatically close themselves.
Autocommit can be switched on and off.
Keyword and positional arguments on the connect() method work as documented in PEP 249.
Keyword arguments from the connect call can be formatted into the connection string.
New keyword arguments defined, such as: autocommit, paramstyle, remote_proxy, remote_port.
*** Breaking change: variantConversion lookups are simplified: the following will raise KeyError:
oldconverter=adodbapi.variantConversions[adodbapi.adoStringTypes]
Refactor as: oldconverter=adodbapi.variantConversions[adodbapi.adoStringTypes[0]]
License
-------
LGPL, see https://opensource.org/license/lgpl-2-1
Documentation
-------------
Look at:
- `adodbapi/quick_reference.md`
- https://wiki.python.org/moin/DatabaseProgramming#The_DB-API
- read the examples in adodbapi/examples
- and the test cases in `adodbapi/test directory`
Mailing lists
-------------
The adodbapi mailing lists have been deactivated. Submit comments to the
pywin32 mailing lists.
-- the bug tracker on sourceforge.net/projects/adodbapi may be checked, (infrequently).
-- please use: https://github.com/mhammond/pywin32/issues
@@ -0,0 +1,16 @@
"""call using an open ADO connection --> list of table names"""
from . import adodbapi
def names(connection_object):
ado = connection_object.adoConn
schema = ado.OpenSchema(20) # constant = adSchemaTables
tables = []
while not schema.EOF:
name = adodbapi.getIndexedValue(schema.Fields, "TABLE_NAME").Value
tables.append(name)
schema.MoveNext()
del schema
return tables
+68
View File
@@ -0,0 +1,68 @@
"""adodbapi -- a pure Python PEP 249 DB-API package using Microsoft ADO
Adodbapi can be run on CPython 3.5 and later.
"""
NAME = "adodbapi"
MAINTAINER = "Vernon Cole"
MAINTAINER_EMAIL = "vernondcole@gmail.com"
DESCRIPTION = (
"""A pure Python package implementing PEP 249 DB-API using Microsoft ADO."""
)
URL = "https://sourceforge.net/projects/adodbapi"
LICENSE = "LGPL"
CLASSIFIERS = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: SQL",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Database",
]
AUTHOR = "Henrik Ekelund, Vernon Cole, et.al."
AUTHOR_EMAIL = "vernondcole@gmail.com"
PLATFORMS = ["Windows", "Linux"]
VERSION = None # in case searching for version fails
a = open("adodbapi.py") # find the version string in the source code
for line in a:
if "__version__" in line:
VERSION = line.split("'")[1] # pyright: ignore[reportConstantRedefinition]
print('adodbapi version="%s"' % VERSION)
break
a.close()
def setup_package():
from setuptools import setup
from setuptools.command.build_py import build_py
setup(
cmdclass={"build_py": build_py},
name=NAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
url=URL,
keywords="database ado odbc dbapi db-api Microsoft SQL",
## download_url=DOWNLOAD_URL,
long_description=open("README.txt").read(),
license=LICENSE,
classifiers=CLASSIFIERS,
author=AUTHOR,
author_email=AUTHOR_EMAIL,
platforms=PLATFORMS,
version=VERSION,
package_dir={"adodbapi": ""},
packages=["adodbapi"],
)
return
if __name__ == "__main__":
setup_package()
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,184 @@
# Configure this to _YOUR_ environment in order to run the testcases.
"testADOdbapiConfig.py v 2.6.2.B00"
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# #
# # TESTERS:
# #
# # You will need to make numerous modifications to this file
# # to adapt it to your own testing environment.
# #
# # Skip down to the next "# #" line --
# # -- the things you need to change are below it.
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
import platform
import random
import sys
import is64bit
import setuptestframework
import tryconnection
print("\nPython", sys.version)
node = platform.node()
try:
print(
"node=%s, is64bit.os()= %s, is64bit.Python()= %s"
% (node, is64bit.os(), is64bit.Python())
)
except:
pass
if "--help" in sys.argv:
print(
"""Valid command-line switches are:
--package - create a temporary test package
--all - run all possible tests
--time - do time format test
--nojet - do not test against an ACCESS database file
--mssql - test against Microsoft SQL server
--pg - test against PostgreSQL
--mysql - test against MariaDB
"""
)
exit()
try:
onWindows = bool(sys.getwindowsversion()) # seems to work on all versions of Python
except:
onWindows = False
# create a random name for temporary table names
_alphabet = (
"PYFGCRLAOEUIDHTNSQJKXBMWVZ" # why, yes, I do happen to use a dvorak keyboard
)
tmp = "".join([random.choice(_alphabet) for x in range(9)])
mdb_name = "xx_" + tmp + ".mdb" # generate a non-colliding name for the temporary .mdb
testfolder = setuptestframework.maketemp()
if "--package" in sys.argv:
# create a new adodbapi module
pth = setuptestframework.makeadopackage(testfolder)
else:
# use the adodbapi module in which this file appears
pth = setuptestframework.find_ado_path()
if pth not in sys.path:
# look here _first_ to find modules
sys.path.insert(1, pth)
# function to clean up the temporary folder -- calling program must run this function before exit.
cleanup = setuptestframework.getcleanupfunction()
import adodbapi # will (hopefully) be imported using the "pth" discovered above
print(adodbapi.version) # show version
print(__doc__)
verbose = False
for a in sys.argv:
if a.startswith("--verbose"):
arg = True
try:
arg = int(a.split("=")[1])
except IndexError:
pass
adodbapi.adodbapi.verbose = arg
verbose = arg
doAllTests = "--all" in sys.argv
doAccessTest = not ("--nojet" in sys.argv)
doSqlServerTest = "--mssql" in sys.argv or doAllTests
doMySqlTest = "--mysql" in sys.argv or doAllTests
doPostgresTest = "--pg" in sys.argv or doAllTests
doTimeTest = ("--time" in sys.argv or doAllTests) and onWindows
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
# # start your environment setup here v v v
SQL_HOST_NODE = "testsql.2txt.us,1430"
if doAccessTest:
c = {
"mdb": setuptestframework.makemdb(testfolder, mdb_name),
# macro definition for keyword "provider" using macro "is64bit" -- see documentation
# is64bit will return true for 64 bit versions of Python, so the macro will select the ACE provider
"macro_is64bit": [
"provider",
"Microsoft.ACE.OLEDB.12.0", # 64 bit provider
"Microsoft.Jet.OLEDB.4.0", # 32 bit provider
],
}
# ;Mode=ReadWrite;Persist Security Info=False;Jet OLEDB:Bypass UserInfo Validation=True"
connStrAccess = "Provider=%(provider)s;Data Source=%(mdb)s"
print(" ...Testing ACCESS connection to {} file...".format(c["mdb"]))
doAccessTest, connStrAccess, dbAccessconnect = tryconnection.try_connection(
verbose, connStrAccess, 10, **c
)
if doSqlServerTest:
c = {
"host": SQL_HOST_NODE, # name of computer with SQL Server
"database": "adotest",
"user": "adotestuser", # None implies Windows security
"password": "Sq1234567",
# macro definition for keyword "security" using macro "auto_security"
"macro_auto_security": "security",
"provider": "MSOLEDBSQL; MARS Connection=True",
}
connStr = "Provider=%(provider)s; Initial Catalog=%(database)s; Data Source=%(host)s; %(security)s;"
print(" ...Testing MS-SQL login to {}...".format(c["host"]))
(
doSqlServerTest,
connStrSQLServer,
dbSqlServerconnect,
) = tryconnection.try_connection(verbose, connStr, 30, **c)
if doMySqlTest:
c = {
"host": "testmysql.2txt.us",
"database": "adodbapitest",
"user": "adotest",
"password": "12345678",
"port": "3330", # note the nonstandard port for obfuscation
"driver": "MySQL ODBC 5.1 Driver",
} # or _driver="MySQL ODBC 3.51 Driver
c["macro_is64bit"] = [
"provider",
"Provider=MSDASQL;",
] # turn on the 64 bit ODBC adapter only if needed
cs = (
"%(provider)sDriver={%(driver)s};Server=%(host)s;Port=3330;"
+ "Database=%(database)s;user=%(user)s;password=%(password)s;Option=3;"
)
print(" ...Testing MySql login to {}...".format(c["host"]))
doMySqlTest, connStrMySql, dbMySqlconnect = tryconnection.try_connection(
verbose, cs, 5, **c
)
if doPostgresTest:
_computername = "testpg.2txt.us"
_databasename = "adotest"
_username = "adotestuser"
_password = "12345678"
kws = {"timeout": 4}
kws["macro_is64bit"] = [
"prov_drv",
"Provider=MSDASQL;Driver={PostgreSQL Unicode(x64)}",
"Driver=PostgreSQL Unicode",
]
# get driver from https://www.postgresql.org/ftp/odbc/releases/
# test using positional and keyword arguments (bad example for real code)
print(" ...Testing PostgreSQL login to {}...".format(_computername))
doPostgresTest, connStrPostgres, dbPostgresConnect = tryconnection.try_connection(
verbose,
"%(prov_drv)s;Server=%(host)s;Database=%(database)s;uid=%(user)s;pwd=%(password)s;port=5430;", # note nonstandard port
_username,
_password,
_computername,
_databasename,
**kws,
)
assert doAccessTest or doSqlServerTest or doMySqlTest or doPostgresTest, (
"No database engine found for testing"
)
@@ -0,0 +1,879 @@
#!/usr/bin/env python
"""Python DB API 2.0 driver compliance unit test suite.
This software is Public Domain and may be used without restrictions.
"Now we have booze and barflies entering the discussion, plus rumours of
DBAs on drugs... and I won't tell you what flashes through my mind each
time I read the subject line with 'Anal Compliance' in it. All around
this is turning out to be a thoroughly unwholesome unit test."
-- Ian Bicking
"""
__version__ = "$Revision: 1.15.0 $"[11:-2]
__author__ = "Stuart Bishop <stuart@stuartbishop.net>"
import time
import unittest
# set this to "True" to follow API 2.0 to the letter
TEST_FOR_NON_IDEMPOTENT_CLOSE = False
# Revision 1.15 2019/11/22 00:50:00 kf7xm
# Make Turn off IDEMPOTENT_CLOSE a proper skipTest
# Revision 1.14 2013/05/20 11:02:05 kf7xm
# Add a literal string to the format insertion test to catch trivial re-format algorithms
# Revision 1.13 2013/05/08 14:31:50 kf7xm
# Quick switch to Turn off IDEMPOTENT_CLOSE test. Also: Silence teardown failure
# Revision 1.12 2009/02/06 03:35:11 kf7xm
# Tested okay with Python 3.0, includes last minute patches from Mark H.
#
# Revision 1.1.1.1.2.1 2008/09/20 19:54:59 rupole
# Include latest changes from main branch
# Updates for py3k
#
# Revision 1.11 2005/01/02 02:41:01 zenzen
# Update author email address
#
# Revision 1.10 2003/10/09 03:14:14 zenzen
# Add test for DB API 2.0 optional extension, where database exceptions
# are exposed as attributes on the Connection object.
#
# Revision 1.9 2003/08/13 01:16:36 zenzen
# Minor tweak from Stefan Fleiter
#
# Revision 1.8 2003/04/10 00:13:25 zenzen
# Changes, as per suggestions by M.-A. Lemburg
# - Add a table prefix, to ensure namespace collisions can always be avoided
#
# Revision 1.7 2003/02/26 23:33:37 zenzen
# Break out DDL into helper functions, as per request by David Rushby
#
# Revision 1.6 2003/02/21 03:04:33 zenzen
# Stuff from Henrik Ekelund:
# added test_None
# added test_nextset & hooks
#
# Revision 1.5 2003/02/17 22:08:43 zenzen
# Implement suggestions and code from Henrik Eklund - test that cursor.arraysize
# defaults to 1 & generic cursor.callproc test added
#
# Revision 1.4 2003/02/15 00:16:33 zenzen
# Changes, as per suggestions and bug reports by M.-A. Lemburg,
# Matthew T. Kromer, Federico Di Gregorio and Daniel Dittmar
# - Class renamed
# - Now a subclass of TestCase, to avoid requiring the driver stub
# to use multiple inheritance
# - Reversed the polarity of buggy test in test_description
# - Test exception hierarchy correctly
# - self.populate is now self._populate(), so if a driver stub
# overrides self.ddl1 this change propogates
# - VARCHAR columns now have a width, which will hopefully make the
# DDL even more portible (this will be reversed if it causes more problems)
# - cursor.rowcount being checked after various execute and fetchXXX methods
# - Check for fetchall and fetchmany returning empty lists after results
# are exhausted (already checking for empty lists if select retrieved
# nothing
# - Fix bugs in test_setoutputsize_basic and test_setinputsizes
#
class DatabaseAPI20Test(unittest.TestCase):
"""Test a database self.driver for DB API 2.0 compatibility.
This implementation tests Gadfly, but the TestCase
is structured so that other self.drivers can subclass this
test case to ensure compiliance with the DB-API. It is
expected that this TestCase may be expanded in the future
if ambiguities or edge conditions are discovered.
The 'Optional Extensions' are not yet being tested.
self.drivers should subclass this test, overriding setUp, tearDown,
self.driver, connect_args and connect_kw_args. Class specification
should be as follows:
import dbapi20
class mytest(dbapi20.DatabaseAPI20Test):
[...]
Don't 'import DatabaseAPI20Test from dbapi20', or you will
confuse the unit tester - just 'import dbapi20'.
"""
# The self.driver module. This should be the module where the 'connect'
# method is to be found
driver = None
connect_args = () # List of arguments to pass to connect
connect_kw_args = {} # Keyword arguments for connect
table_prefix = "dbapi20test_" # If you need to specify a prefix for tables
ddl1 = "create table %sbooze (name varchar(20))" % table_prefix
ddl2 = "create table %sbarflys (name varchar(20), drink varchar(30))" % table_prefix
xddl1 = "drop table %sbooze" % table_prefix
xddl2 = "drop table %sbarflys" % table_prefix
lowerfunc = "lower" # Name of stored procedure to convert string->lowercase
# Some drivers may need to override these helpers, for example adding
# a 'commit' after the execute.
def executeDDL1(self, cursor):
cursor.execute(self.ddl1)
def executeDDL2(self, cursor):
cursor.execute(self.ddl2)
def setUp(self):
"""self.drivers should override this method to perform required setup
if any is necessary, such as creating the database.
"""
pass
def tearDown(self):
"""self.drivers should override this method to perform required cleanup
if any is necessary, such as deleting the test database.
The default drops the tables that may be created.
"""
try:
con = self._connect()
try:
cur = con.cursor()
for ddl in (self.xddl1, self.xddl2):
try:
cur.execute(ddl)
con.commit()
except self.driver.Error:
# Assume table didn't exist. Other tests will check if
# execute is busted.
pass
finally:
con.close()
except Exception:
pass
def _connect(self):
try:
r = self.driver.connect(*self.connect_args, **self.connect_kw_args)
except AttributeError:
self.fail("No connect method found in self.driver module")
return r
def test_connect(self):
con = self._connect()
con.close()
def test_apilevel(self):
try:
# Must exist
apilevel = self.driver.apilevel
# Must equal 2.0
self.assertEqual(apilevel, "2.0")
except AttributeError:
self.fail("Driver doesn't define apilevel")
def test_threadsafety(self):
try:
# Must exist
threadsafety = self.driver.threadsafety
# Must be a valid value
self.assertTrue(threadsafety in (0, 1, 2, 3))
except AttributeError:
self.fail("Driver doesn't define threadsafety")
def test_paramstyle(self):
try:
# Must exist
paramstyle = self.driver.paramstyle
# Must be a valid value
self.assertTrue(
paramstyle in ("qmark", "numeric", "named", "format", "pyformat")
)
except AttributeError:
self.fail("Driver doesn't define paramstyle")
def test_Exceptions(self):
# Make sure required exceptions exist, and are in the defined hierarchy.
self.assertTrue(issubclass(self.driver.Warning, Exception))
self.assertTrue(issubclass(self.driver.Error, Exception))
self.assertTrue(issubclass(self.driver.InterfaceError, self.driver.Error))
self.assertTrue(issubclass(self.driver.DatabaseError, self.driver.Error))
self.assertTrue(issubclass(self.driver.OperationalError, self.driver.Error))
self.assertTrue(issubclass(self.driver.IntegrityError, self.driver.Error))
self.assertTrue(issubclass(self.driver.InternalError, self.driver.Error))
self.assertTrue(issubclass(self.driver.ProgrammingError, self.driver.Error))
self.assertTrue(issubclass(self.driver.NotSupportedError, self.driver.Error))
def test_ExceptionsAsConnectionAttributes(self):
# OPTIONAL EXTENSION
# Test for the optional DB API 2.0 extension, where the exceptions
# are exposed as attributes on the Connection object
# I figure this optional extension will be implemented by any
# driver author who is using this test suite, so it is enabled
# by default.
con = self._connect()
drv = self.driver
self.assertTrue(con.Warning is drv.Warning)
self.assertTrue(con.Error is drv.Error)
self.assertTrue(con.InterfaceError is drv.InterfaceError)
self.assertTrue(con.DatabaseError is drv.DatabaseError)
self.assertTrue(con.OperationalError is drv.OperationalError)
self.assertTrue(con.IntegrityError is drv.IntegrityError)
self.assertTrue(con.InternalError is drv.InternalError)
self.assertTrue(con.ProgrammingError is drv.ProgrammingError)
self.assertTrue(con.NotSupportedError is drv.NotSupportedError)
def test_commit(self):
con = self._connect()
try:
# Commit must work, even if it doesn't do anything
con.commit()
finally:
con.close()
def test_rollback(self):
con = self._connect()
# If rollback is defined, it should either work or throw
# the documented exception
if hasattr(con, "rollback"):
try:
con.rollback()
except self.driver.NotSupportedError:
pass
def test_cursor(self):
con = self._connect()
try:
cur = con.cursor()
finally:
con.close()
def test_cursor_isolation(self):
con = self._connect()
try:
# Make sure cursors created from the same connection have
# the documented transaction isolation level
cur1 = con.cursor()
cur2 = con.cursor()
self.executeDDL1(cur1)
cur1.execute(
"insert into %sbooze values ('Victoria Bitter')" % (self.table_prefix)
)
cur2.execute("select name from %sbooze" % self.table_prefix)
booze = cur2.fetchall()
self.assertEqual(len(booze), 1)
self.assertEqual(len(booze[0]), 1)
self.assertEqual(booze[0][0], "Victoria Bitter")
finally:
con.close()
def test_description(self):
con = self._connect()
try:
cur = con.cursor()
self.executeDDL1(cur)
self.assertEqual(
cur.description,
None,
"cursor.description should be none after executing a "
"statement that can return no rows (such as DDL)",
)
cur.execute("select name from %sbooze" % self.table_prefix)
self.assertEqual(
len(cur.description), 1, "cursor.description describes too many columns"
)
self.assertEqual(
len(cur.description[0]),
7,
"cursor.description[x] tuples must have 7 elements",
)
self.assertEqual(
cur.description[0][0].lower(),
"name",
"cursor.description[x][0] must return column name",
)
self.assertEqual(
cur.description[0][1],
self.driver.STRING,
"cursor.description[x][1] must return column type. Got %r"
% cur.description[0][1],
)
# Make sure self.description gets reset
self.executeDDL2(cur)
self.assertEqual(
cur.description,
None,
"cursor.description not being set to None when executing "
"no-result statements (eg. DDL)",
)
finally:
con.close()
def test_rowcount(self):
con = self._connect()
try:
cur = con.cursor()
self.executeDDL1(cur)
self.assertTrue(
cur.rowcount in (-1, 0), # Bug #543885
"cursor.rowcount should be -1 or 0 after executing no-result "
"statements",
)
cur.execute(
"insert into %sbooze values ('Victoria Bitter')" % (self.table_prefix)
)
self.assertTrue(
cur.rowcount in (-1, 1),
"cursor.rowcount should == number or rows inserted, or "
"set to -1 after executing an insert statement",
)
cur.execute("select name from %sbooze" % self.table_prefix)
self.assertTrue(
cur.rowcount in (-1, 1),
"cursor.rowcount should == number of rows returned, or "
"set to -1 after executing a select statement",
)
self.executeDDL2(cur)
self.assertEqual(
cur.rowcount,
-1,
"cursor.rowcount not being reset to -1 after executing "
"no-result statements",
)
finally:
con.close()
lower_func = "lower"
def test_callproc(self):
con = self._connect()
try:
cur = con.cursor()
if self.lower_func and hasattr(cur, "callproc"):
r = cur.callproc(self.lower_func, ("FOO",))
self.assertEqual(len(r), 1)
self.assertEqual(r[0], "FOO")
r = cur.fetchall()
self.assertEqual(len(r), 1, "callproc produced no result set")
self.assertEqual(len(r[0]), 1, "callproc produced invalid result set")
self.assertEqual(r[0][0], "foo", "callproc produced invalid results")
finally:
con.close()
def test_close(self):
con = self._connect()
try:
cur = con.cursor()
finally:
con.close()
# cursor.execute should raise an Error if called after connection
# closed
self.assertRaises(self.driver.Error, self.executeDDL1, cur)
# connection.commit should raise an Error if called after connection'
# closed.'
self.assertRaises(self.driver.Error, con.commit)
# connection.close should raise an Error if called more than once
#!!! reasonable persons differ about the usefulness of this test and this feature !!!
if TEST_FOR_NON_IDEMPOTENT_CLOSE:
self.assertRaises(self.driver.Error, con.close)
else:
self.skipTest(
"Non-idempotent close is considered a bad thing by some people."
)
def test_execute(self):
con = self._connect()
try:
cur = con.cursor()
self._paraminsert(cur)
finally:
con.close()
def _paraminsert(self, cur):
self.executeDDL2(cur)
cur.execute(
"insert into %sbarflys values ('Victoria Bitter', 'thi%%s :may ca%%(u)se? troub:1e')"
% (self.table_prefix)
)
self.assertTrue(cur.rowcount in (-1, 1))
if self.driver.paramstyle == "qmark":
cur.execute(
"insert into %sbarflys values (?, 'thi%%s :may ca%%(u)se? troub:1e')"
% self.table_prefix,
("Cooper's",),
)
elif self.driver.paramstyle == "numeric":
cur.execute(
"insert into %sbarflys values (:1, 'thi%%s :may ca%%(u)se? troub:1e')"
% self.table_prefix,
("Cooper's",),
)
elif self.driver.paramstyle == "named":
cur.execute(
"insert into %sbarflys values (:beer, 'thi%%s :may ca%%(u)se? troub:1e')"
% self.table_prefix,
{"beer": "Cooper's"},
)
elif self.driver.paramstyle == "format":
cur.execute(
"insert into %sbarflys values (%%s, 'thi%%s :may ca%%(u)se? troub:1e')"
% self.table_prefix,
("Cooper's",),
)
elif self.driver.paramstyle == "pyformat":
cur.execute(
"insert into %sbarflys values (%%(beer)s, 'thi%%s :may ca%%(u)se? troub:1e')"
% self.table_prefix,
{"beer": "Cooper's"},
)
else:
self.fail("Invalid paramstyle")
self.assertTrue(cur.rowcount in (-1, 1))
cur.execute("select name, drink from %sbarflys" % self.table_prefix)
res = cur.fetchall()
self.assertEqual(len(res), 2, "cursor.fetchall returned too few rows")
beers = [res[0][0], res[1][0]]
beers.sort()
self.assertEqual(
beers[0],
"Cooper's",
"cursor.fetchall retrieved incorrect data, or data inserted incorrectly",
)
self.assertEqual(
beers[1],
"Victoria Bitter",
"cursor.fetchall retrieved incorrect data, or data inserted incorrectly",
)
trouble = "thi%s :may ca%(u)se? troub:1e"
self.assertEqual(
res[0][1],
trouble,
"cursor.fetchall retrieved incorrect data, or data inserted "
f"incorrectly. Got={res[0][1]!r}, Expected={trouble!r}",
)
self.assertEqual(
res[1][1],
trouble,
"cursor.fetchall retrieved incorrect data, or data inserted "
f"incorrectly. Got={res[1][1]!r}, Expected={trouble!r}",
)
def test_executemany(self):
con = self._connect()
try:
cur = con.cursor()
self.executeDDL1(cur)
largs = [("Cooper's",), ("Boag's",)]
margs = [{"beer": "Cooper's"}, {"beer": "Boag's"}]
if self.driver.paramstyle == "qmark":
cur.executemany(
"insert into %sbooze values (?)" % self.table_prefix, largs
)
elif self.driver.paramstyle == "numeric":
cur.executemany(
"insert into %sbooze values (:1)" % self.table_prefix, largs
)
elif self.driver.paramstyle == "named":
cur.executemany(
"insert into %sbooze values (:beer)" % self.table_prefix, margs
)
elif self.driver.paramstyle == "format":
cur.executemany(
"insert into %sbooze values (%%s)" % self.table_prefix, largs
)
elif self.driver.paramstyle == "pyformat":
cur.executemany(
"insert into %sbooze values (%%(beer)s)" % (self.table_prefix),
margs,
)
else:
self.fail("Unknown paramstyle")
self.assertTrue(
cur.rowcount in (-1, 2),
"insert using cursor.executemany set cursor.rowcount to "
"incorrect value %r" % cur.rowcount,
)
cur.execute("select name from %sbooze" % self.table_prefix)
res = cur.fetchall()
self.assertEqual(
len(res), 2, "cursor.fetchall retrieved incorrect number of rows"
)
beers = [res[0][0], res[1][0]]
beers.sort()
self.assertEqual(
beers[0], "Boag's", 'incorrect data "%s" retrieved' % beers[0]
)
self.assertEqual(beers[1], "Cooper's", "incorrect data retrieved")
finally:
con.close()
def test_fetchone(self):
con = self._connect()
try:
cur = con.cursor()
# cursor.fetchone should raise an Error if called before
# executing a select-type query
self.assertRaises(self.driver.Error, cur.fetchone)
# cursor.fetchone should raise an Error if called after
# executing a query that cannnot return rows
self.executeDDL1(cur)
self.assertRaises(self.driver.Error, cur.fetchone)
cur.execute("select name from %sbooze" % self.table_prefix)
self.assertEqual(
cur.fetchone(),
None,
"cursor.fetchone should return None if a query retrieves no rows",
)
self.assertTrue(cur.rowcount in (-1, 0))
# cursor.fetchone should raise an Error if called after
# executing a query that cannnot return rows
cur.execute(
"insert into %sbooze values ('Victoria Bitter')" % (self.table_prefix)
)
self.assertRaises(self.driver.Error, cur.fetchone)
cur.execute("select name from %sbooze" % self.table_prefix)
r = cur.fetchone()
self.assertEqual(
len(r), 1, "cursor.fetchone should have retrieved a single row"
)
self.assertEqual(
r[0], "Victoria Bitter", "cursor.fetchone retrieved incorrect data"
)
self.assertEqual(
cur.fetchone(),
None,
"cursor.fetchone should return None if no more rows available",
)
self.assertTrue(cur.rowcount in (-1, 1))
finally:
con.close()
samples = [
"Carlton Cold",
"Carlton Draft",
"Mountain Goat",
"Redback",
"Victoria Bitter",
"XXXX",
]
def _populate(self):
"""Return a list of sql commands to setup the DB for the fetch
tests.
"""
populate = [
"insert into %sbooze values ('%s')" % (self.table_prefix, s)
for s in self.samples
]
return populate
def test_fetchmany(self):
con = self._connect()
try:
cur = con.cursor()
# cursor.fetchmany should raise an Error if called without
# issuing a query
self.assertRaises(self.driver.Error, cur.fetchmany, 4)
self.executeDDL1(cur)
for sql in self._populate():
cur.execute(sql)
cur.execute("select name from %sbooze" % self.table_prefix)
r = cur.fetchmany()
self.assertEqual(
len(r),
1,
"cursor.fetchmany retrieved incorrect number of rows, "
"default of arraysize is one.",
)
cur.arraysize = 10
r = cur.fetchmany(3) # Should get 3 rows
self.assertEqual(
len(r), 3, "cursor.fetchmany retrieved incorrect number of rows"
)
r = cur.fetchmany(4) # Should get 2 more
self.assertEqual(
len(r), 2, "cursor.fetchmany retrieved incorrect number of rows"
)
r = cur.fetchmany(4) # Should be an empty sequence
self.assertEqual(
len(r),
0,
"cursor.fetchmany should return an empty sequence after "
"results are exhausted",
)
self.assertTrue(cur.rowcount in (-1, 6))
# Same as above, using cursor.arraysize
cur.arraysize = 4
cur.execute("select name from %sbooze" % self.table_prefix)
r = cur.fetchmany() # Should get 4 rows
self.assertEqual(
len(r), 4, "cursor.arraysize not being honoured by fetchmany"
)
r = cur.fetchmany() # Should get 2 more
self.assertEqual(len(r), 2)
r = cur.fetchmany() # Should be an empty sequence
self.assertEqual(len(r), 0)
self.assertTrue(cur.rowcount in (-1, 6))
cur.arraysize = 6
cur.execute("select name from %sbooze" % self.table_prefix)
rows = cur.fetchmany() # Should get all rows
self.assertTrue(cur.rowcount in (-1, 6))
self.assertEqual(len(rows), 6)
self.assertEqual(len(rows), 6)
rows = [r[0] for r in rows]
rows.sort()
# Make sure we get the right data back out
for i in range(0, 6):
self.assertEqual(
rows[i],
self.samples[i],
"incorrect data retrieved by cursor.fetchmany",
)
rows = cur.fetchmany() # Should return an empty list
self.assertEqual(
len(rows),
0,
"cursor.fetchmany should return an empty sequence if "
"called after the whole result set has been fetched",
)
self.assertTrue(cur.rowcount in (-1, 6))
self.executeDDL2(cur)
cur.execute("select name from %sbarflys" % self.table_prefix)
r = cur.fetchmany() # Should get empty sequence
self.assertEqual(
len(r),
0,
"cursor.fetchmany should return an empty sequence if "
"query retrieved no rows",
)
self.assertTrue(cur.rowcount in (-1, 0))
finally:
con.close()
def test_fetchall(self):
con = self._connect()
try:
cur = con.cursor()
# cursor.fetchall should raise an Error if called
# without executing a query that may return rows (such
# as a select)
self.assertRaises(self.driver.Error, cur.fetchall)
self.executeDDL1(cur)
for sql in self._populate():
cur.execute(sql)
# cursor.fetchall should raise an Error if called
# after executing a a statement that cannot return rows
self.assertRaises(self.driver.Error, cur.fetchall)
cur.execute("select name from %sbooze" % self.table_prefix)
rows = cur.fetchall()
self.assertTrue(cur.rowcount in (-1, len(self.samples)))
self.assertEqual(
len(rows),
len(self.samples),
"cursor.fetchall did not retrieve all rows",
)
rows = [r[0] for r in rows]
rows.sort()
for i in range(0, len(self.samples)):
self.assertEqual(
rows[i], self.samples[i], "cursor.fetchall retrieved incorrect rows"
)
rows = cur.fetchall()
self.assertEqual(
len(rows),
0,
"cursor.fetchall should return an empty list if called "
"after the whole result set has been fetched",
)
self.assertTrue(cur.rowcount in (-1, len(self.samples)))
self.executeDDL2(cur)
cur.execute("select name from %sbarflys" % self.table_prefix)
rows = cur.fetchall()
self.assertTrue(cur.rowcount in (-1, 0))
self.assertEqual(
len(rows),
0,
"cursor.fetchall should return an empty list if "
"a select query returns no rows",
)
finally:
con.close()
def test_mixedfetch(self):
con = self._connect()
try:
cur = con.cursor()
self.executeDDL1(cur)
for sql in self._populate():
cur.execute(sql)
cur.execute("select name from %sbooze" % self.table_prefix)
rows1 = cur.fetchone()
rows23 = cur.fetchmany(2)
rows4 = cur.fetchone()
rows56 = cur.fetchall()
self.assertTrue(cur.rowcount in (-1, 6))
self.assertEqual(
len(rows23), 2, "fetchmany returned incorrect number of rows"
)
self.assertEqual(
len(rows56), 2, "fetchall returned incorrect number of rows"
)
rows = [rows1[0]]
rows.extend([rows23[0][0], rows23[1][0]])
rows.append(rows4[0])
rows.extend([rows56[0][0], rows56[1][0]])
rows.sort()
for i in range(0, len(self.samples)):
self.assertEqual(
rows[i], self.samples[i], "incorrect data retrieved or inserted"
)
finally:
con.close()
def help_nextset_setUp(self, cur):
"""Should create a procedure called deleteme
that returns two result sets, first the
number of rows in booze then "name from booze"
"""
raise NotImplementedError("Helper not implemented")
# sql="""
# create procedure deleteme as
# begin
# select count(*) from booze
# select name from booze
# end
# """
# cur.execute(sql)
def help_nextset_tearDown(self, cur):
"If cleaning up is needed after nextSetTest"
raise NotImplementedError("Helper not implemented")
# cur.execute("drop procedure deleteme")
def test_nextset(self):
raise NotImplementedError("Drivers need to override this test")
def test_arraysize(self):
# Not much here - rest of the tests for this are in test_fetchmany
con = self._connect()
try:
cur = con.cursor()
self.assertTrue(
hasattr(cur, "arraysize"), "cursor.arraysize must be defined"
)
finally:
con.close()
def test_setinputsizes(self):
con = self._connect()
try:
cur = con.cursor()
cur.setinputsizes((25,))
self._paraminsert(cur) # Make sure cursor still works
finally:
con.close()
def test_setoutputsize_basic(self):
# Basic test is to make sure setoutputsize doesn't blow up
con = self._connect()
try:
cur = con.cursor()
cur.setoutputsize(1000)
cur.setoutputsize(2000, 0)
self._paraminsert(cur) # Make sure the cursor still works
finally:
con.close()
def test_setoutputsize(self):
# Real test for setoutputsize is driver dependant
raise NotImplementedError("Driver needed to override this test")
def test_None(self):
con = self._connect()
try:
cur = con.cursor()
self.executeDDL1(cur)
cur.execute("insert into %sbooze values (NULL)" % self.table_prefix)
cur.execute("select name from %sbooze" % self.table_prefix)
r = cur.fetchall()
self.assertEqual(len(r), 1)
self.assertEqual(len(r[0]), 1)
self.assertEqual(r[0][0], None, "NULL value not returned as None")
finally:
con.close()
def test_Date(self):
d1 = self.driver.Date(2002, 12, 25)
d2 = self.driver.DateFromTicks(time.mktime((2002, 12, 25, 0, 0, 0, 0, 0, 0)))
# Can we assume this? API doesn't specify, but it seems implied
# self.assertEqual(str(d1),str(d2))
def test_Time(self):
t1 = self.driver.Time(13, 45, 30)
t2 = self.driver.TimeFromTicks(time.mktime((2001, 1, 1, 13, 45, 30, 0, 0, 0)))
# Can we assume this? API doesn't specify, but it seems implied
# self.assertEqual(str(t1),str(t2))
def test_Timestamp(self):
t1 = self.driver.Timestamp(2002, 12, 25, 13, 45, 30)
t2 = self.driver.TimestampFromTicks(
time.mktime((2002, 12, 25, 13, 45, 30, 0, 0, 0))
)
# Can we assume this? API doesn't specify, but it seems implied
# self.assertEqual(str(t1),str(t2))
def test_Binary(self):
b = self.driver.Binary(b"Something")
b = self.driver.Binary(b"")
def test_STRING(self):
self.assertTrue(hasattr(self.driver, "STRING"), "module.STRING must be defined")
def test_BINARY(self):
self.assertTrue(
hasattr(self.driver, "BINARY"), "module.BINARY must be defined."
)
def test_NUMBER(self):
self.assertTrue(
hasattr(self.driver, "NUMBER"), "module.NUMBER must be defined."
)
def test_DATETIME(self):
self.assertTrue(
hasattr(self.driver, "DATETIME"), "module.DATETIME must be defined."
)
def test_ROWID(self):
self.assertTrue(hasattr(self.driver, "ROWID"), "module.ROWID must be defined.")
@@ -0,0 +1,34 @@
"""is64bit.Python() --> boolean value of detected Python word size. is64bit.os() --> os build version"""
import sys
def Python():
return sys.maxsize > 2147483647
def os():
import platform
pm = platform.machine()
if pm != ".." and pm.endswith("64"): # recent 64 bit Python
return True
else:
import os
if "PROCESSOR_ARCHITEW6432" in os.environ:
return True # 32 bit program running on 64 bit Windows
try:
return os.environ["PROCESSOR_ARCHITECTURE"].endswith(
"64"
) # 64 bit Windows 64 bit program
except IndexError:
pass # not Windows
try:
return "64" in platform.architecture()[0] # this often works in Linux
except:
return False # is an older version of Python, assume also an older os (best we can guess)
if __name__ == "__main__":
print("is64bit.Python() =", Python(), "is64bit.os() =", os())
@@ -0,0 +1,98 @@
#!/usr/bin/python2
# Configure this in order to run the testcases.
"setuptestframework.py v 2.6.0.8"
import os
import shutil
import tempfile
def maketemp():
temphome = tempfile.gettempdir()
tempdir = os.path.join(temphome, "adodbapi_test")
try:
os.mkdir(tempdir)
except:
pass
return tempdir
def _cleanup_function(testfolder, mdb_name):
try:
os.unlink(os.path.join(testfolder, mdb_name))
except:
pass # mdb database not present
try:
shutil.rmtree(testfolder)
print(" cleaned up folder", testfolder)
except:
pass # test package not present
def getcleanupfunction():
return _cleanup_function
def find_ado_path():
adoName = os.path.normpath(os.getcwd() + "/../../adodbapi.py")
adoPackage = os.path.dirname(adoName)
return adoPackage
# make a new package directory for the test copy of ado
def makeadopackage(testfolder):
adoName = os.path.normpath(os.getcwd() + "/../adodbapi.py")
adoPath = os.path.dirname(adoName)
if os.path.exists(adoName):
newpackage = os.path.join(testfolder, "adodbapi")
try:
os.makedirs(newpackage)
except OSError:
print(
"*Note: temporary adodbapi package already exists: may be two versions running?"
)
for f in os.listdir(adoPath):
if f.endswith(".py"):
shutil.copy(os.path.join(adoPath, f), newpackage)
return testfolder
else:
raise OSError("Cannot find source of adodbapi to test.")
def makemdb(testfolder, mdb_name):
# following setup code borrowed from pywin32 odbc test suite
# kindly contributed by Frank Millman.
import os
_accessdatasource = os.path.join(testfolder, mdb_name)
if os.path.isfile(_accessdatasource):
print("using JET database=", _accessdatasource)
else:
from win32com.client import constants
from win32com.client.gencache import EnsureDispatch
# Create a brand-new database - what is the story with these?
dbe = None
for suffix in (".36", ".35", ".30"):
try:
dbe = EnsureDispatch("DAO.DBEngine" + suffix)
break
except:
pass
if dbe:
print(" ...Creating ACCESS db at " + _accessdatasource)
workspace = dbe.Workspaces(0)
newdb = workspace.CreateDatabase(
_accessdatasource, constants.dbLangGeneral, constants.dbVersion40
)
newdb.Close()
else:
print(" ...copying test ACCESS db to " + _accessdatasource)
mdbName = os.path.abspath(
os.path.join(os.path.dirname(__file__), "..", "examples", "test.mdb")
)
import shutil
shutil.copy(mdbName, _accessdatasource)
return _accessdatasource
@@ -0,0 +1,195 @@
print("This module depends on the dbapi20 compliance tests created by Stuart Bishop")
print("(see db-sig mailing list history for info)")
import platform
import sys
import unittest
import dbapi20
import setuptestframework
testfolder = setuptestframework.maketemp()
if "--package" in sys.argv:
pth = setuptestframework.makeadopackage(testfolder)
sys.argv.remove("--package")
else:
pth = setuptestframework.find_ado_path()
if pth not in sys.path:
sys.path.insert(1, pth)
# function to clean up the temporary folder -- calling program must run this function before exit.
cleanup = setuptestframework.getcleanupfunction()
import adodbapi
import adodbapi.is64bit as is64bit
db = adodbapi
if "--verbose" in sys.argv:
db.adodbapi.verbose = 3
print(adodbapi.version)
print("Tested with dbapi20 %s" % dbapi20.__version__)
try:
onWindows = bool(sys.getwindowsversion()) # seems to work on all versions of Python
except:
onWindows = False
node = platform.node()
conn_kws = {}
host = "testsql.2txt.us,1430" # if None, will use macro to fill in node name
instance = r"%s\SQLEXPRESS"
conn_kws["name"] = "adotest"
conn_kws["user"] = "adotestuser" # None implies Windows security
conn_kws["password"] = "Sq1234567"
# macro definition for keyword "security" using macro "auto_security"
conn_kws["macro_auto_security"] = "security"
if host is None:
conn_kws["macro_getnode"] = ["host", instance]
else:
conn_kws["host"] = host
conn_kws["provider"] = (
"Provider=MSOLEDBSQL;DataTypeCompatibility=80;MARS Connection=True;"
)
connStr = "%(provider)s; %(security)s; Initial Catalog=%(name)s;Data Source=%(host)s"
if onWindows and node != "z-PC":
pass # default should make a local SQL Server connection
elif node == "xxx": # try Postgres database
_computername = "25.223.161.222"
_databasename = "adotest"
_username = "adotestuser"
_password = "12345678"
_driver = "PostgreSQL Unicode"
_provider = ""
connStr = "%sDriver={%s};Server=%s;Database=%s;uid=%s;pwd=%s;" % (
_provider,
_driver,
_computername,
_databasename,
_username,
_password,
)
elif node == "yyy": # ACCESS data base is known to fail some tests.
if is64bit.Python():
driver = "Microsoft.ACE.OLEDB.12.0"
else:
driver = "Microsoft.Jet.OLEDB.4.0"
testmdb = setuptestframework.makemdb(testfolder)
connStr = r"Provider=%s;Data Source=%s" % (driver, testmdb)
print(f"Using Connection String like={connStr}")
print(f"Keywords={conn_kws!r}")
class test_adodbapi(dbapi20.DatabaseAPI20Test):
driver = db
connect_args = (connStr,)
connect_kw_args = conn_kws
def __init__(self, arg):
dbapi20.DatabaseAPI20Test.__init__(self, arg)
def getTestMethodName(self):
return self.id().split(".")[-1]
def setUp(self):
# Call superclass setUp In case this does something in the
# future
dbapi20.DatabaseAPI20Test.setUp(self)
if self.getTestMethodName() == "test_callproc":
con = self._connect()
engine = con.dbms_name
# print(f"Using database Engine={engine}")
if engine != "MS Jet":
sql = """
create procedure templower
@theData varchar(50)
as
select lower(@theData)
"""
else: # Jet
sql = """
create procedure templower
(theData varchar(50))
as
select lower(theData);
"""
cur = con.cursor()
try:
cur.execute(sql)
con.commit()
except:
pass
cur.close()
con.close()
self.lower_func = "templower"
def tearDown(self):
if self.getTestMethodName() == "test_callproc":
con = self._connect()
cur = con.cursor()
try:
cur.execute("drop procedure templower")
except:
pass
con.commit()
dbapi20.DatabaseAPI20Test.tearDown(self)
def help_nextset_setUp(self, cur):
"Should create a procedure called deleteme"
'that returns two result sets, first the number of rows in booze then "name from booze"'
sql = """
create procedure deleteme as
begin
select count(*) from %sbooze
select name from %sbooze
end
""" % (
self.table_prefix,
self.table_prefix,
)
cur.execute(sql)
def help_nextset_tearDown(self, cur):
"If cleaning up is needed after nextSetTest"
try:
cur.execute("drop procedure deleteme")
except:
pass
def test_nextset(self):
con = self._connect()
try:
cur = con.cursor()
stmts = [self.ddl1] + self._populate()
for sql in stmts:
cur.execute(sql)
self.help_nextset_setUp(cur)
cur.callproc("deleteme")
numberofrows = cur.fetchone()
assert numberofrows[0] == 6
assert cur.nextset()
names = cur.fetchall()
assert len(names) == len(self.samples)
s = cur.nextset()
assert s is None, "No more return sets, should return None"
finally:
try:
self.help_nextset_tearDown(cur)
finally:
con.close()
def test_setoutputsize(self):
pass
if __name__ == "__main__":
unittest.main()
cleanup(testfolder, None)
@@ -0,0 +1,30 @@
def try_connection(verbose, *args, **kwargs):
import adodbapi
dbconnect = adodbapi.connect
try:
s = dbconnect(*args, **kwargs) # connect to server
if verbose:
print("Connected to:", s.connection_string)
print("which has tables:", s.get_table_names())
s.close() # thanks, it worked, goodbye
except adodbapi.DatabaseError as inst:
print(inst.args[0]) # should be the error message
print(f"***Failed getting connection using= {args!r} {kwargs!r}")
return False, (args, kwargs), None
print(" (successful)")
return True, (args, kwargs), dbconnect
def try_operation_with_expected_exception(
expected_exception_list, some_function, *args, **kwargs
):
try:
some_function(*args, **kwargs)
except expected_exception_list as e:
return True, e
except:
raise # an exception other than the expected occurred
return False, "The expected exception did not occur"
@@ -0,0 +1 @@
pip
@@ -0,0 +1,145 @@
Metadata-Version: 2.4
Name: annotated-doc
Version: 0.0.4
Summary: Document parameters, class attributes, return types, and variables inline, with Annotated.
Author-Email: =?utf-8?q?Sebasti=C3=A1n_Ram=C3=ADrez?= <tiangolo@gmail.com>
License-Expression: MIT
License-File: LICENSE
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python
Classifier: Topic :: Internet
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development
Classifier: Typing :: Typed
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Project-URL: Homepage, https://github.com/fastapi/annotated-doc
Project-URL: Documentation, https://github.com/fastapi/annotated-doc
Project-URL: Repository, https://github.com/fastapi/annotated-doc
Project-URL: Issues, https://github.com/fastapi/annotated-doc/issues
Project-URL: Changelog, https://github.com/fastapi/annotated-doc/release-notes.md
Requires-Python: >=3.8
Description-Content-Type: text/markdown
# Annotated Doc
Document parameters, class attributes, return types, and variables inline, with `Annotated`.
<a href="https://github.com/fastapi/annotated-doc/actions?query=workflow%3ATest+event%3Apush+branch%3Amain" target="_blank">
<img src="https://github.com/fastapi/annotated-doc/actions/workflows/test.yml/badge.svg?event=push&branch=main" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/annotated-doc" target="_blank">
<img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/annotated-doc.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/annotated-doc" target="_blank">
<img src="https://img.shields.io/pypi/v/annotated-doc?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
<a href="https://pypi.org/project/annotated-doc" target="_blank">
<img src="https://img.shields.io/pypi/pyversions/annotated-doc.svg?color=%2334D058" alt="Supported Python versions">
</a>
## Installation
```bash
pip install annotated-doc
```
Or with `uv`:
```Python
uv add annotated-doc
```
## Usage
Import `Doc` and pass a single literal string with the documentation for the specific parameter, class attribute, return type, or variable.
For example, to document a parameter `name` in a function `hi` you could do:
```Python
from typing import Annotated
from annotated_doc import Doc
def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
print(f"Hi, {name}!")
```
You can also use it to document class attributes:
```Python
from typing import Annotated
from annotated_doc import Doc
class User:
name: Annotated[str, Doc("The user's name")]
age: Annotated[int, Doc("The user's age")]
```
The same way, you could document return types and variables, or anything that could have a type annotation with `Annotated`.
## Who Uses This
`annotated-doc` was made for:
* [FastAPI](https://fastapi.tiangolo.com/)
* [Typer](https://typer.tiangolo.com/)
* [SQLModel](https://sqlmodel.tiangolo.com/)
* [Asyncer](https://asyncer.tiangolo.com/)
`annotated-doc` is supported by [griffe-typingdoc](https://github.com/mkdocstrings/griffe-typingdoc), which powers reference documentation like the one in the [FastAPI Reference](https://fastapi.tiangolo.com/reference/).
## Reasons not to use `annotated-doc`
You are already comfortable with one of the existing docstring formats, like:
* Sphinx
* numpydoc
* Google
* Keras
Your team is already comfortable using them.
You prefer having the documentation about parameters all together in a docstring, separated from the code defining them.
You care about a specific set of users, using one specific editor, and that editor already has support for the specific docstring format you use.
## Reasons to use `annotated-doc`
* No micro-syntax to learn for newcomers, its **just Python** syntax.
* **Editing** would be already fully supported by default by any editor (current or future) supporting Python syntax, including syntax errors, syntax highlighting, etc.
* **Rendering** would be relatively straightforward to implement by static tools (tools that don't need runtime execution), as the information can be extracted from the AST they normally already create.
* **Deduplication of information**: the name of a parameter would be defined in a single place, not duplicated inside of a docstring.
* **Elimination** of the possibility of having **inconsistencies** when removing a parameter or class variable and **forgetting to remove** its documentation.
* **Minimization** of the probability of adding a new parameter or class variable and **forgetting to add its documentation**.
* **Elimination** of the possibility of having **inconsistencies** between the **name** of a parameter in the **signature** and the name in the docstring when it is renamed.
* **Access** to the documentation string for each symbol at **runtime**, including existing (older) Python versions.
* A more formalized way to document other symbols, like type aliases, that could use Annotated.
* **Support** for apps using FastAPI, Typer and others.
* **AI Accessibility**: AI tools will have an easier way understanding each parameter as the distance from documentation to parameter is much closer.
## History
I ([@tiangolo](https://github.com/tiangolo)) originally wanted for this to be part of the Python standard library (in [PEP 727](https://peps.python.org/pep-0727/)), but the proposal was withdrawn as there was a fair amount of negative feedback and opposition.
The conclusion was that this was better done as an external effort, in a third-party library.
So, here it is, with a simpler approach, as a third-party library, in a way that can be used by others, starting with FastAPI and friends.
## License
This project is licensed under the terms of the MIT license.
@@ -0,0 +1,11 @@
annotated_doc-0.0.4.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
annotated_doc-0.0.4.dist-info/METADATA,sha256=Irm5KJua33dY2qKKAjJ-OhKaVBVIfwFGej_dSe3Z1TU,6566
annotated_doc-0.0.4.dist-info/RECORD,,
annotated_doc-0.0.4.dist-info/WHEEL,sha256=9P2ygRxDrTJz3gsagc0Z96ukrxjr-LFBGOgv3AuKlCA,90
annotated_doc-0.0.4.dist-info/entry_points.txt,sha256=6OYgBcLyFCUgeqLgnvMyOJxPCWzgy7se4rLPKtNonMs,34
annotated_doc-0.0.4.dist-info/licenses/LICENSE,sha256=__Fwd5pqy_ZavbQFwIfxzuF4ZpHkqWpANFF-SlBKDN8,1086
annotated_doc/__init__.py,sha256=VuyxxUe80kfEyWnOrCx_Bk8hybo3aKo6RYBlkBBYW8k,52
annotated_doc/__pycache__/__init__.cpython-312.pyc,,
annotated_doc/__pycache__/main.cpython-312.pyc,,
annotated_doc/main.py,sha256=5Zfvxv80SwwLqpRW73AZyZyiM4bWma9QWRbp_cgD20s,1075
annotated_doc/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
@@ -0,0 +1,4 @@
Wheel-Version: 1.0
Generator: pdm-backend (2.4.5)
Root-Is-Purelib: true
Tag: py3-none-any
@@ -0,0 +1,4 @@
[console_scripts]
[gui_scripts]
@@ -0,0 +1,21 @@
The MIT License (MIT)
Copyright (c) 2025 Sebastián Ramírez
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
@@ -0,0 +1,3 @@
from .main import Doc as Doc
__version__ = "0.0.4"
@@ -0,0 +1,36 @@
class Doc:
"""Define the documentation of a type annotation using `Annotated`, to be
used in class attributes, function and method parameters, return values,
and variables.
The value should be a positional-only string literal to allow static tools
like editors and documentation generators to use it.
This complements docstrings.
The string value passed is available in the attribute `documentation`.
Example:
```Python
from typing import Annotated
from annotated_doc import Doc
def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
print(f"Hi, {name}!")
```
"""
def __init__(self, documentation: str, /) -> None:
self.documentation = documentation
def __repr__(self) -> str:
return f"Doc({self.documentation!r})"
def __hash__(self) -> int:
return hash(self.documentation)
def __eq__(self, other: object) -> bool:
if not isinstance(other, Doc):
return NotImplemented
return self.documentation == other.documentation
@@ -0,0 +1 @@
pip
@@ -0,0 +1,295 @@
Metadata-Version: 2.3
Name: annotated-types
Version: 0.7.0
Summary: Reusable constraint types to use with typing.Annotated
Project-URL: Homepage, https://github.com/annotated-types/annotated-types
Project-URL: Source, https://github.com/annotated-types/annotated-types
Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases
Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin <s@muelcolvin.com>, Zac Hatfield-Dodds <zac@zhd.dev>
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.8
Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9'
Description-Content-Type: text/markdown
# annotated-types
[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI)
[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types)
[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types)
[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE)
[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of
adding context-specific metadata to existing types, and specifies that
`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special
logic for `x`.
This package provides metadata objects which can be used to represent common
constraints such as upper and lower bounds on scalar values and collection sizes,
a `Predicate` marker for runtime checks, and
descriptions of how we intend these metadata to be interpreted. In some cases,
we also note alternative representations which do not require this package.
## Install
```bash
pip install annotated-types
```
## Examples
```python
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
# Invalid: 17, 18, "19", 19.0, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
# Invalid: 4, 8, -2, 5.0, "prime", ...
my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50]
# Invalid: (1, 2), ["abc"], [0] * 20
```
## Documentation
_While `annotated-types` avoids runtime checks for performance, users should not
construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`.
Downstream implementors may choose to raise an error, emit a warning, silently ignore
a metadata item, etc., if the metadata objects described below are used with an
incompatible type - or for any other reason!_
### Gt, Ge, Lt, Le
Express inclusive and/or exclusive bounds on orderable values - which may be numbers,
dates, times, strings, sets, etc. Note that the boundary value need not be of the
same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]`
is fine, for example, and implies that the value is an integer x such that `x > 1.5`.
We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)`
as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on
the `annotated-types` package.
To be explicit, these types have the following meanings:
* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum
* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum
* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum
* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum
### Interval
`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single
metadata object. `None` attributes should be ignored, and non-`None` attributes
treated as per the single bounds above.
### MultipleOf
`MultipleOf(multiple_of=x)` might be interpreted in two ways:
1. Python semantics, implying `value % multiple_of == 0`, or
2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1),
where `int(value / multiple_of) == value / multiple_of`.
We encourage users to be aware of these two common interpretations and their
distinct behaviours, especially since very large or non-integer numbers make
it easy to cause silent data corruption due to floating-point imprecision.
We encourage libraries to carefully document which interpretation they implement.
### MinLen, MaxLen, Len
`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive.
As well as `Len()` which can optionally include upper and lower bounds, we also
provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)`
and `Len(max_length=y)` respectively.
`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`.
Examples of usage:
* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less
* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less
* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more
* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6
* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8
#### Changed in v0.4.0
* `min_inclusive` has been renamed to `min_length`, no change in meaning
* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive**
* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic
meaning of the upper bound in slices vs. `Len`
See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion.
### Timezone
`Timezone` can be used with a `datetime` or a `time` to express which timezones
are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime.
`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis))
expresses that any timezone-aware datetime is allowed. You may also pass a specific
timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects)
object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only
allow a specific timezone, though we note that this is often a symptom of fragile design.
#### Changed in v0.x.x
* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of
`timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries.
### Unit
`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of
a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]`
would be a float representing a velocity in meters per second.
Please note that `annotated_types` itself makes no attempt to parse or validate
the unit string in any way. That is left entirely to downstream libraries,
such as [`pint`](https://pint.readthedocs.io) or
[`astropy.units`](https://docs.astropy.org/en/stable/units/).
An example of how a library might use this metadata:
```python
from annotated_types import Unit
from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args
# given a type annotated with a unit:
Meters = Annotated[float, Unit("m")]
# you can cast the annotation to a specific unit type with any
# callable that accepts a string and returns the desired type
T = TypeVar("T")
def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None:
if get_origin(tp) is Annotated:
for arg in get_args(tp):
if isinstance(arg, Unit):
return unit_cls(arg.unit)
return None
# using `pint`
import pint
pint_unit = cast_unit(Meters, pint.Unit)
# using `astropy.units`
import astropy.units as u
astropy_unit = cast_unit(Meters, u.Unit)
```
### Predicate
`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values.
Users should prefer the statically inspectable metadata above, but if you need
the full power and flexibility of arbitrary runtime predicates... here it is.
For some common constraints, we provide generic types:
* `IsLower = Annotated[T, Predicate(str.islower)]`
* `IsUpper = Annotated[T, Predicate(str.isupper)]`
* `IsDigit = Annotated[T, Predicate(str.isdigit)]`
* `IsFinite = Annotated[T, Predicate(math.isfinite)]`
* `IsNotFinite = Annotated[T, Predicate(Not(math.isfinite))]`
* `IsNan = Annotated[T, Predicate(math.isnan)]`
* `IsNotNan = Annotated[T, Predicate(Not(math.isnan))]`
* `IsInfinite = Annotated[T, Predicate(math.isinf)]`
* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]`
so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer
(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`.
Some libraries might have special logic to handle known or understandable predicates,
for example by checking for `str.isdigit` and using its presence to both call custom
logic to enforce digit-only strings, and customise some generated external schema.
Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in
favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`.
To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting
`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object`
exception. We encourage libraries to document the behaviour they choose.
### Doc
`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used.
It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools.
It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`.
This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md).
### Integrating downstream types with `GroupedMetadata`
Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata.
This can help reduce verbosity and cognitive overhead for users.
For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata:
```python
from dataclasses import dataclass
from typing import Iterator
from annotated_types import GroupedMetadata, Ge
@dataclass
class Field(GroupedMetadata):
ge: int | None = None
description: str | None = None
def __iter__(self) -> Iterator[object]:
# Iterating over a GroupedMetadata object should yield annotated-types
# constraint metadata objects which describe it as fully as possible,
# and may include other unknown objects too.
if self.ge is not None:
yield Ge(self.ge)
if self.description is not None:
yield Description(self.description)
```
Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type. The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently.
Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself.
Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern. Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`.
### Consuming metadata
We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103).
It is up to the implementer to determine how this metadata is used.
You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases.
## Design & History
This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic
and Hypothesis, with the goal of making it as easy as possible for end-users to
provide more informative annotations for use by runtime libraries.
It is deliberately minimal, and following PEP-593 allows considerable downstream
discretion in what (if anything!) they choose to support. Nonetheless, we expect
that staying simple and covering _only_ the most common use-cases will give users
and maintainers the best experience we can. If you'd like more constraints for your
types - follow our lead, by defining them and documenting them downstream!
@@ -0,0 +1,10 @@
annotated_types-0.7.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
annotated_types-0.7.0.dist-info/METADATA,sha256=7ltqxksJJ0wCYFGBNIQCWTlWQGeAH0hRFdnK3CB895E,15046
annotated_types-0.7.0.dist-info/RECORD,,
annotated_types-0.7.0.dist-info/WHEEL,sha256=zEMcRr9Kr03x1ozGwg5v9NQBKn3kndp6LSoSlVg-jhU,87
annotated_types-0.7.0.dist-info/licenses/LICENSE,sha256=_hBJiEsaDZNCkB6I4H8ykl0ksxIdmXK2poBfuYJLCV0,1083
annotated_types/__init__.py,sha256=RynLsRKUEGI0KimXydlD1fZEfEzWwDo0Uon3zOKhG1Q,13819
annotated_types/__pycache__/__init__.cpython-312.pyc,,
annotated_types/__pycache__/test_cases.cpython-312.pyc,,
annotated_types/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
annotated_types/test_cases.py,sha256=zHFX6EpcMbGJ8FzBYDbO56bPwx_DYIVSKbZM-4B3_lg,6421
@@ -0,0 +1,4 @@
Wheel-Version: 1.0
Generator: hatchling 1.24.2
Root-Is-Purelib: true
Tag: py3-none-any
@@ -0,0 +1,21 @@
The MIT License (MIT)
Copyright (c) 2022 the contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
@@ -0,0 +1,432 @@
import math
import sys
import types
from dataclasses import dataclass
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
if sys.version_info < (3, 8):
from typing_extensions import Protocol, runtime_checkable
else:
from typing import Protocol, runtime_checkable
if sys.version_info < (3, 9):
from typing_extensions import Annotated, Literal
else:
from typing import Annotated, Literal
if sys.version_info < (3, 10):
EllipsisType = type(Ellipsis)
KW_ONLY = {}
SLOTS = {}
else:
from types import EllipsisType
KW_ONLY = {"kw_only": True}
SLOTS = {"slots": True}
__all__ = (
'BaseMetadata',
'GroupedMetadata',
'Gt',
'Ge',
'Lt',
'Le',
'Interval',
'MultipleOf',
'MinLen',
'MaxLen',
'Len',
'Timezone',
'Predicate',
'LowerCase',
'UpperCase',
'IsDigits',
'IsFinite',
'IsNotFinite',
'IsNan',
'IsNotNan',
'IsInfinite',
'IsNotInfinite',
'doc',
'DocInfo',
'__version__',
)
__version__ = '0.7.0'
T = TypeVar('T')
# arguments that start with __ are considered
# positional only
# see https://peps.python.org/pep-0484/#positional-only-arguments
class SupportsGt(Protocol):
def __gt__(self: T, __other: T) -> bool:
...
class SupportsGe(Protocol):
def __ge__(self: T, __other: T) -> bool:
...
class SupportsLt(Protocol):
def __lt__(self: T, __other: T) -> bool:
...
class SupportsLe(Protocol):
def __le__(self: T, __other: T) -> bool:
...
class SupportsMod(Protocol):
def __mod__(self: T, __other: T) -> T:
...
class SupportsDiv(Protocol):
def __div__(self: T, __other: T) -> T:
...
class BaseMetadata:
"""Base class for all metadata.
This exists mainly so that implementers
can do `isinstance(..., BaseMetadata)` while traversing field annotations.
"""
__slots__ = ()
@dataclass(frozen=True, **SLOTS)
class Gt(BaseMetadata):
"""Gt(gt=x) implies that the value must be greater than x.
It can be used with any type that supports the ``>`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
gt: SupportsGt
@dataclass(frozen=True, **SLOTS)
class Ge(BaseMetadata):
"""Ge(ge=x) implies that the value must be greater than or equal to x.
It can be used with any type that supports the ``>=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
ge: SupportsGe
@dataclass(frozen=True, **SLOTS)
class Lt(BaseMetadata):
"""Lt(lt=x) implies that the value must be less than x.
It can be used with any type that supports the ``<`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
lt: SupportsLt
@dataclass(frozen=True, **SLOTS)
class Le(BaseMetadata):
"""Le(le=x) implies that the value must be less than or equal to x.
It can be used with any type that supports the ``<=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
le: SupportsLe
@runtime_checkable
class GroupedMetadata(Protocol):
"""A grouping of multiple objects, like typing.Unpack.
`GroupedMetadata` on its own is not metadata and has no meaning.
All of the constraints and metadata should be fully expressable
in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
Concrete implementations should override `GroupedMetadata.__iter__()`
to add their own metadata.
For example:
>>> @dataclass
>>> class Field(GroupedMetadata):
>>> gt: float | None = None
>>> description: str | None = None
...
>>> def __iter__(self) -> Iterable[object]:
>>> if self.gt is not None:
>>> yield Gt(self.gt)
>>> if self.description is not None:
>>> yield Description(self.gt)
Also see the implementation of `Interval` below for an example.
Parsers should recognize this and unpack it so that it can be used
both with and without unpacking:
- `Annotated[int, Field(...)]` (parser must unpack Field)
- `Annotated[int, *Field(...)]` (PEP-646)
""" # noqa: trailing-whitespace
@property
def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
return True
def __iter__(self) -> Iterator[object]:
...
if not TYPE_CHECKING:
__slots__ = () # allow subclasses to use slots
def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
# Basic ABC like functionality without the complexity of an ABC
super().__init_subclass__(*args, **kwargs)
if cls.__iter__ is GroupedMetadata.__iter__:
raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
def __iter__(self) -> Iterator[object]: # noqa: F811
raise NotImplementedError # more helpful than "None has no attribute..." type errors
@dataclass(frozen=True, **KW_ONLY, **SLOTS)
class Interval(GroupedMetadata):
"""Interval can express inclusive or exclusive bounds with a single object.
It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
are interpreted the same way as the single-bound constraints.
"""
gt: Union[SupportsGt, None] = None
ge: Union[SupportsGe, None] = None
lt: Union[SupportsLt, None] = None
le: Union[SupportsLe, None] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack an Interval into zero or more single-bounds."""
if self.gt is not None:
yield Gt(self.gt)
if self.ge is not None:
yield Ge(self.ge)
if self.lt is not None:
yield Lt(self.lt)
if self.le is not None:
yield Le(self.le)
@dataclass(frozen=True, **SLOTS)
class MultipleOf(BaseMetadata):
"""MultipleOf(multiple_of=x) might be interpreted in two ways:
1. Python semantics, implying ``value % multiple_of == 0``, or
2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
We encourage users to be aware of these two common interpretations,
and libraries to carefully document which they implement.
"""
multiple_of: Union[SupportsDiv, SupportsMod]
@dataclass(frozen=True, **SLOTS)
class MinLen(BaseMetadata):
"""
MinLen() implies minimum inclusive length,
e.g. ``len(value) >= min_length``.
"""
min_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class MaxLen(BaseMetadata):
"""
MaxLen() implies maximum inclusive length,
e.g. ``len(value) <= max_length``.
"""
max_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class Len(GroupedMetadata):
"""
Len() implies that ``min_length <= len(value) <= max_length``.
Upper bound may be omitted or ``None`` to indicate no upper length bound.
"""
min_length: Annotated[int, Ge(0)] = 0
max_length: Optional[Annotated[int, Ge(0)]] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack a Len into zone or more single-bounds."""
if self.min_length > 0:
yield MinLen(self.min_length)
if self.max_length is not None:
yield MaxLen(self.max_length)
@dataclass(frozen=True, **SLOTS)
class Timezone(BaseMetadata):
"""Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
tz-aware but any timezone is allowed.
You may also pass a specific timezone string or tzinfo object such as
``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
you only allow a specific timezone, though we note that this is often
a symptom of poor design.
"""
tz: Union[str, tzinfo, EllipsisType, None]
@dataclass(frozen=True, **SLOTS)
class Unit(BaseMetadata):
"""Indicates that the value is a physical quantity with the specified unit.
It is intended for usage with numeric types, where the value represents the
magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
or ``speed: Annotated[float, Unit('m/s')]``.
Interpretation of the unit string is left to the discretion of the consumer.
It is suggested to follow conventions established by python libraries that work
with physical quantities, such as
- ``pint`` : <https://pint.readthedocs.io/en/stable/>
- ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
For indicating a quantity with a certain dimensionality but without a specific unit
it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
Note, however, ``annotated_types`` itself makes no use of the unit string.
"""
unit: str
@dataclass(frozen=True, **SLOTS)
class Predicate(BaseMetadata):
"""``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
Users should prefer statically inspectable metadata, but if you need the full
power and flexibility of arbitrary runtime predicates... here it is.
We provide a few predefined predicates for common string constraints:
``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
Some libraries might have special logic to handle certain predicates, e.g. by
checking for `str.isdigit` and using its presence to both call custom logic to
enforce digit-only strings, and customise some generated external schema.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting exception.
"""
func: Callable[[Any], bool]
def __repr__(self) -> str:
if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
return f"{self.__class__.__name__}({self.func!r})"
if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
namespace := getattr(self.func.__self__, "__name__", None)
):
return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
if isinstance(self.func, type(str.isascii)): # method descriptor
return f"{self.__class__.__name__}({self.func.__qualname__})"
return f"{self.__class__.__name__}({self.func.__name__})"
@dataclass
class Not:
func: Callable[[Any], bool]
def __call__(self, __v: Any) -> bool:
return not self.func(__v)
_StrType = TypeVar("_StrType", bound=str)
LowerCase = Annotated[_StrType, Predicate(str.islower)]
"""
Return True if the string is a lowercase string, False otherwise.
A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
""" # noqa: E501
UpperCase = Annotated[_StrType, Predicate(str.isupper)]
"""
Return True if the string is an uppercase string, False otherwise.
A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
""" # noqa: E501
IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
IsDigits = IsDigit # type: ignore # plural for backwards compatibility, see #63
"""
Return True if the string is a digit string, False otherwise.
A string is a digit string if all characters in the string are digits and there is at least one character in the string.
""" # noqa: E501
IsAscii = Annotated[_StrType, Predicate(str.isascii)]
"""
Return True if all characters in the string are ASCII, False otherwise.
ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
"""
_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
"""Return True if x is one of infinity or NaN, and False otherwise"""
IsNan = Annotated[_NumericType, Predicate(math.isnan)]
"""Return True if x is a NaN (not a number), and False otherwise."""
IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
"""Return True if x is anything but NaN (not a number), and False otherwise."""
IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
"""Return True if x is a positive or negative infinity, and False otherwise."""
IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
"""Return True if x is neither a positive or negative infinity, and False otherwise."""
try:
from typing_extensions import DocInfo, doc # type: ignore [attr-defined]
except ImportError:
@dataclass(frozen=True, **SLOTS)
class DocInfo: # type: ignore [no-redef]
""" "
The return value of doc(), mainly to be used by tools that want to extract the
Annotated documentation at runtime.
"""
documentation: str
"""The documentation string passed to doc()."""
def doc(
documentation: str,
) -> DocInfo:
"""
Add documentation to a type annotation inside of Annotated.
For example:
>>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
"""
return DocInfo(documentation)
@@ -0,0 +1,151 @@
import math
import sys
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal
from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple
if sys.version_info < (3, 9):
from typing_extensions import Annotated
else:
from typing import Annotated
import annotated_types as at
class Case(NamedTuple):
"""
A test case for `annotated_types`.
"""
annotation: Any
valid_cases: Iterable[Any]
invalid_cases: Iterable[Any]
def cases() -> Iterable[Case]:
# Gt, Ge, Lt, Le
yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Gt(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(date(2000, 1, 1))],
[date(2000, 1, 2), date(2000, 1, 3)],
[date(2000, 1, 1), date(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(Decimal('1.123'))],
[Decimal('1.1231'), Decimal('123')],
[Decimal('1.123'), Decimal('0')],
)
yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1))
yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Ge(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(1998, 1, 1), datetime(1999, 12, 31)],
)
yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4))
yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Lt(datetime(2000, 1, 1))],
[datetime(1999, 12, 31), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000))
yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Le(datetime(2000, 1, 1))],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
# Interval
yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1))
yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1))
yield Case(
Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(2000, 1, 4)],
)
yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4))
yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1))
# lengths
yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10))
yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234'))
yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}])
yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4}))
yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4)))
# Timezone
yield Case(
Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)]
)
yield Case(
Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)]
)
yield Case(
Annotated[datetime, at.Timezone(timezone.utc)],
[datetime(2000, 1, 1, tzinfo=timezone.utc)],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
yield Case(
Annotated[datetime, at.Timezone('Europe/London')],
[datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
# Quantity
yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m'))
# predicate types
yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom'])
yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC'])
yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2'])
yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀'])
yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5])
yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf])
yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23])
yield Case(at.IsNan[float], [math.nan], [1.23, math.inf])
yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan])
yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23])
yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf])
# check stacked predicates
yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan])
# doc
yield Case(Annotated[int, at.doc("A number")], [1, 2], [])
# custom GroupedMetadata
class MyCustomGroupedMetadata(at.GroupedMetadata):
def __iter__(self) -> Iterator[at.Predicate]:
yield at.Predicate(lambda x: float(x).is_integer())
yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5])
@@ -0,0 +1 @@
pip
@@ -0,0 +1,105 @@
Metadata-Version: 2.4
Name: anyio
Version: 4.13.0
Summary: High-level concurrency and networking framework on top of asyncio or Trio
Author-email: Alex Grönholm <alex.gronholm@nextday.fi>
License-Expression: MIT
Project-URL: Documentation, https://anyio.readthedocs.io/en/latest/
Project-URL: Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html
Project-URL: Source code, https://github.com/agronholm/anyio
Project-URL: Issue tracker, https://github.com/agronholm/anyio/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Framework :: AnyIO
Classifier: Typing :: Typed
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: exceptiongroup>=1.0.2; python_version < "3.11"
Requires-Dist: idna>=2.8
Requires-Dist: typing_extensions>=4.5; python_version < "3.13"
Provides-Extra: trio
Requires-Dist: trio>=0.32.0; extra == "trio"
Dynamic: license-file
.. image:: https://github.com/agronholm/anyio/actions/workflows/test.yml/badge.svg
:target: https://github.com/agronholm/anyio/actions/workflows/test.yml
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/anyio/badge.svg?branch=master
:target: https://coveralls.io/github/agronholm/anyio?branch=master
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/anyio/badge/?version=latest
:target: https://anyio.readthedocs.io/en/latest/?badge=latest
:alt: Documentation
.. image:: https://badges.gitter.im/gitterHQ/gitter.svg
:target: https://gitter.im/python-trio/AnyIO
:alt: Gitter chat
.. image:: https://tidelift.com/badges/package/pypi/anyio
:target: https://tidelift.com/subscription/pkg/pypi-anyio
:alt: Tidelift
AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio_ or
Trio_. It implements Trio-like `structured concurrency`_ (SC) on top of asyncio and works in harmony
with the native SC of Trio itself.
Applications and libraries written against AnyIO's API will run unmodified on either asyncio_ or
Trio_. AnyIO can also be adopted into a library or application incrementally bit by bit, no full
refactoring necessary. It will blend in with the native libraries of your chosen backend.
To find out why you might want to use AnyIO's APIs instead of asyncio's, you can read about it
`here <https://anyio.readthedocs.io/en/stable/why.html>`_.
Documentation
-------------
View full documentation at: https://anyio.readthedocs.io/
Features
--------
AnyIO offers the following functionality:
* Task groups (nurseries_ in trio terminology)
* High-level networking (TCP, UDP and UNIX sockets)
* `Happy eyeballs`_ algorithm for TCP connections (more robust than that of asyncio on Python
3.8)
* async/await style UDP sockets (unlike asyncio where you still have to use Transports and
Protocols)
* A versatile API for byte streams and object streams
* Inter-task synchronization and communication (locks, conditions, events, semaphores, object
streams)
* Worker threads
* Subprocesses
* Subinterpreter support for code parallelization (on Python 3.13 and later)
* Asynchronous file I/O (using worker threads)
* Signal handling
* Asynchronous version of the functools_ module
AnyIO also comes with its own pytest_ plugin which also supports asynchronous fixtures.
It even works with the popular Hypothesis_ library.
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _Trio: https://github.com/python-trio/trio
.. _structured concurrency: https://en.wikipedia.org/wiki/Structured_concurrency
.. _nurseries: https://trio.readthedocs.io/en/stable/reference-core.html#nurseries-and-spawning
.. _Happy eyeballs: https://en.wikipedia.org/wiki/Happy_Eyeballs
.. _pytest: https://docs.pytest.org/en/latest/
.. _functools: https://docs.python.org/3/library/functools.html
.. _Hypothesis: https://hypothesis.works/
Security contact information
----------------------------
To report a security vulnerability, please use the `Tidelift security contact`_.
Tidelift will coordinate the fix and disclosure.
.. _Tidelift security contact: https://tidelift.com/security
@@ -0,0 +1,92 @@
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@@ -0,0 +1,5 @@
Wheel-Version: 1.0
Generator: setuptools (82.0.1)
Root-Is-Purelib: true
Tag: py3-none-any
@@ -0,0 +1,2 @@
[pytest11]
anyio = anyio.pytest_plugin
@@ -0,0 +1,20 @@
The MIT License (MIT)
Copyright (c) 2018 Alex Grönholm
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
@@ -0,0 +1 @@
anyio
+111
View File
@@ -0,0 +1,111 @@
from __future__ import annotations
from ._core._contextmanagers import AsyncContextManagerMixin as AsyncContextManagerMixin
from ._core._contextmanagers import ContextManagerMixin as ContextManagerMixin
from ._core._eventloop import current_time as current_time
from ._core._eventloop import get_all_backends as get_all_backends
from ._core._eventloop import get_available_backends as get_available_backends
from ._core._eventloop import get_cancelled_exc_class as get_cancelled_exc_class
from ._core._eventloop import run as run
from ._core._eventloop import sleep as sleep
from ._core._eventloop import sleep_forever as sleep_forever
from ._core._eventloop import sleep_until as sleep_until
from ._core._exceptions import BrokenResourceError as BrokenResourceError
from ._core._exceptions import BrokenWorkerInterpreter as BrokenWorkerInterpreter
from ._core._exceptions import BrokenWorkerProcess as BrokenWorkerProcess
from ._core._exceptions import BusyResourceError as BusyResourceError
from ._core._exceptions import ClosedResourceError as ClosedResourceError
from ._core._exceptions import ConnectionFailed as ConnectionFailed
from ._core._exceptions import DelimiterNotFound as DelimiterNotFound
from ._core._exceptions import EndOfStream as EndOfStream
from ._core._exceptions import IncompleteRead as IncompleteRead
from ._core._exceptions import NoEventLoopError as NoEventLoopError
from ._core._exceptions import RunFinishedError as RunFinishedError
from ._core._exceptions import TypedAttributeLookupError as TypedAttributeLookupError
from ._core._exceptions import WouldBlock as WouldBlock
from ._core._fileio import AsyncFile as AsyncFile
from ._core._fileio import Path as Path
from ._core._fileio import open_file as open_file
from ._core._fileio import wrap_file as wrap_file
from ._core._resources import aclose_forcefully as aclose_forcefully
from ._core._signals import open_signal_receiver as open_signal_receiver
from ._core._sockets import TCPConnectable as TCPConnectable
from ._core._sockets import UNIXConnectable as UNIXConnectable
from ._core._sockets import as_connectable as as_connectable
from ._core._sockets import connect_tcp as connect_tcp
from ._core._sockets import connect_unix as connect_unix
from ._core._sockets import create_connected_udp_socket as create_connected_udp_socket
from ._core._sockets import (
create_connected_unix_datagram_socket as create_connected_unix_datagram_socket,
)
from ._core._sockets import create_tcp_listener as create_tcp_listener
from ._core._sockets import create_udp_socket as create_udp_socket
from ._core._sockets import create_unix_datagram_socket as create_unix_datagram_socket
from ._core._sockets import create_unix_listener as create_unix_listener
from ._core._sockets import getaddrinfo as getaddrinfo
from ._core._sockets import getnameinfo as getnameinfo
from ._core._sockets import notify_closing as notify_closing
from ._core._sockets import wait_readable as wait_readable
from ._core._sockets import wait_socket_readable as wait_socket_readable
from ._core._sockets import wait_socket_writable as wait_socket_writable
from ._core._sockets import wait_writable as wait_writable
from ._core._streams import create_memory_object_stream as create_memory_object_stream
from ._core._subprocesses import open_process as open_process
from ._core._subprocesses import run_process as run_process
from ._core._synchronization import CapacityLimiter as CapacityLimiter
from ._core._synchronization import (
CapacityLimiterStatistics as CapacityLimiterStatistics,
)
from ._core._synchronization import Condition as Condition
from ._core._synchronization import ConditionStatistics as ConditionStatistics
from ._core._synchronization import Event as Event
from ._core._synchronization import EventStatistics as EventStatistics
from ._core._synchronization import Lock as Lock
from ._core._synchronization import LockStatistics as LockStatistics
from ._core._synchronization import ResourceGuard as ResourceGuard
from ._core._synchronization import Semaphore as Semaphore
from ._core._synchronization import SemaphoreStatistics as SemaphoreStatistics
from ._core._tasks import TASK_STATUS_IGNORED as TASK_STATUS_IGNORED
from ._core._tasks import CancelScope as CancelScope
from ._core._tasks import create_task_group as create_task_group
from ._core._tasks import current_effective_deadline as current_effective_deadline
from ._core._tasks import fail_after as fail_after
from ._core._tasks import move_on_after as move_on_after
from ._core._tempfile import NamedTemporaryFile as NamedTemporaryFile
from ._core._tempfile import SpooledTemporaryFile as SpooledTemporaryFile
from ._core._tempfile import TemporaryDirectory as TemporaryDirectory
from ._core._tempfile import TemporaryFile as TemporaryFile
from ._core._tempfile import gettempdir as gettempdir
from ._core._tempfile import gettempdirb as gettempdirb
from ._core._tempfile import mkdtemp as mkdtemp
from ._core._tempfile import mkstemp as mkstemp
from ._core._testing import TaskInfo as TaskInfo
from ._core._testing import get_current_task as get_current_task
from ._core._testing import get_running_tasks as get_running_tasks
from ._core._testing import wait_all_tasks_blocked as wait_all_tasks_blocked
from ._core._typedattr import TypedAttributeProvider as TypedAttributeProvider
from ._core._typedattr import TypedAttributeSet as TypedAttributeSet
from ._core._typedattr import typed_attribute as typed_attribute
# Re-export imports so they look like they live directly in this package
for __value in list(locals().values()):
if getattr(__value, "__module__", "").startswith("anyio."):
__value.__module__ = __name__
del __value
def __getattr__(attr: str) -> type[BrokenWorkerInterpreter]:
"""Support deprecated aliases."""
if attr == "BrokenWorkerIntepreter":
import warnings
warnings.warn(
"The 'BrokenWorkerIntepreter' alias is deprecated, use 'BrokenWorkerInterpreter' instead.",
DeprecationWarning,
stacklevel=2,
)
return BrokenWorkerInterpreter
raise AttributeError(f"module {__name__!r} has no attribute {attr!r}")
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