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Tests.ecl
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Tests.ecl
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IMPORT DataPatterns;
IMPORT Std;
EXPORT Tests := MODULE
EXPORT Engine_Test := OUTPUT
(
IF
(
Std.System.Job.Platform() IN ['hthor', 'roxie'],
Std.System.Job.Platform(),
ERROR('This code must be run on hthor or roxie')
),
NAMED('Execution_Engine')
);
//--------------------------------------------------------------------------
// Useful functions
//--------------------------------------------------------------------------
SHARED ValueForAttr(ds, attrNameStr, f) := FUNCTIONMACRO
RETURN ds(attribute = attrNameStr)[1].f;
ENDMACRO;
//--------------------------------------------------------------------------
// Baseline string test
//--------------------------------------------------------------------------
SHARED Basic_String := DATASET
(
[
'Dan', 'Steve', '', 'Mike', 'Dan', 'Sebastian', 'Dan'
],
{STRING s}
);
SHARED Basic_String_Profile := DataPatterns.Profile(Basic_String);
EXPORT Test_Basic_String_Profile :=
[
ASSERT(Basic_String_Profile[1].attribute = 's'),
ASSERT(Basic_String_Profile[1].rec_count = 7),
ASSERT(Basic_String_Profile[1].given_attribute_type = 'string'),
ASSERT((DECIMAL9_6)Basic_String_Profile[1].fill_rate = (DECIMAL9_6)85.714286),
ASSERT(Basic_String_Profile[1].fill_count = 6),
ASSERT(Basic_String_Profile[1].cardinality = 4),
ASSERT(Basic_String_Profile[1].best_attribute_type = 'string9'),
ASSERT(COUNT(Basic_String_Profile[1].modes) = 1),
ASSERT(Basic_String_Profile[1].modes[1].value = 'Dan'),
ASSERT(Basic_String_Profile[1].modes[1].rec_count = 3),
ASSERT(Basic_String_Profile[1].min_length = 3),
ASSERT(Basic_String_Profile[1].max_length = 9),
ASSERT(Basic_String_Profile[1].ave_length = 5),
ASSERT(COUNT(Basic_String_Profile[1].popular_patterns) = 4),
ASSERT(Basic_String_Profile[1].popular_patterns[1].data_pattern = 'Aaa'),
ASSERT(Basic_String_Profile[1].popular_patterns[1].rec_count = 3),
ASSERT(Basic_String_Profile[1].popular_patterns[2].data_pattern = 'Aaaa'),
ASSERT(Basic_String_Profile[1].popular_patterns[2].rec_count = 1),
ASSERT(Basic_String_Profile[1].popular_patterns[3].data_pattern = 'Aaaaa'),
ASSERT(Basic_String_Profile[1].popular_patterns[3].rec_count = 1),
ASSERT(Basic_String_Profile[1].popular_patterns[4].data_pattern = 'Aaaaaaaaa'),
ASSERT(Basic_String_Profile[1].popular_patterns[4].rec_count = 1),
ASSERT(COUNT(Basic_String_Profile[1].rare_patterns) = 0),
ASSERT(Basic_String_Profile[1].is_numeric = FALSE),
ASSERT(Basic_String_Profile[1].numeric_min = 0),
ASSERT(Basic_String_Profile[1].numeric_max = 0),
ASSERT(Basic_String_Profile[1].numeric_mean = 0),
ASSERT(Basic_String_Profile[1].numeric_std_dev = 0),
ASSERT(Basic_String_Profile[1].numeric_lower_quartile = 0),
ASSERT(Basic_String_Profile[1].numeric_median = 0),
ASSERT(Basic_String_Profile[1].numeric_upper_quartile = 0),
ASSERT(COUNT(Basic_String_Profile[1].numeric_correlations) = 0),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Baseline numeric test
//--------------------------------------------------------------------------
SHARED Basic_Numeric := DATASET
(
[
-1000, 500, -250, 2000, 1500, -2000, 2000
],
{INTEGER n}
);
SHARED Basic_Numeric_Profile := DataPatterns.Profile(Basic_Numeric);
EXPORT Test_Basic_Numeric_Profile :=
[
ASSERT(Basic_Numeric_Profile[1].attribute = 'n'),
ASSERT(Basic_Numeric_Profile[1].rec_count = 7),
ASSERT(Basic_Numeric_Profile[1].given_attribute_type = 'integer8'),
ASSERT(Basic_Numeric_Profile[1].fill_rate = 100),
ASSERT(Basic_Numeric_Profile[1].fill_count = 7),
ASSERT(Basic_Numeric_Profile[1].cardinality = 6),
ASSERT(Basic_Numeric_Profile[1].best_attribute_type = 'integer3'),
ASSERT(COUNT(Basic_Numeric_Profile[1].modes) = 1),
ASSERT(Basic_Numeric_Profile[1].modes[1].value = '2000'),
ASSERT(Basic_Numeric_Profile[1].modes[1].rec_count = 2),
ASSERT(Basic_Numeric_Profile[1].min_length = 3),
ASSERT(Basic_Numeric_Profile[1].max_length = 5),
ASSERT(Basic_Numeric_Profile[1].ave_length = 4),
ASSERT(COUNT(Basic_Numeric_Profile[1].popular_patterns) = 4),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[1].data_pattern = '9999'),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[1].rec_count = 3),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[2].data_pattern = '-9999'),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[2].rec_count = 2),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[3].data_pattern = '-999'),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[3].rec_count = 1),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[4].data_pattern = '999'),
ASSERT(Basic_Numeric_Profile[1].popular_patterns[4].rec_count = 1),
ASSERT(COUNT(Basic_Numeric_Profile[1].rare_patterns) = 0),
ASSERT(Basic_Numeric_Profile[1].is_numeric = TRUE),
ASSERT(Basic_Numeric_Profile[1].numeric_min = -2000),
ASSERT(Basic_Numeric_Profile[1].numeric_max = 2000),
ASSERT(Basic_Numeric_Profile[1].numeric_mean = 392.8571),
ASSERT(Basic_Numeric_Profile[1].numeric_std_dev = 1438.3593),
ASSERT(Basic_Numeric_Profile[1].numeric_lower_quartile = -1000),
ASSERT(Basic_Numeric_Profile[1].numeric_median = 500),
ASSERT(Basic_Numeric_Profile[1].numeric_upper_quartile = 2000),
ASSERT(COUNT(Basic_Numeric_Profile[1].numeric_correlations) = 0),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Empty data detection
//--------------------------------------------------------------------------
// Layout contains every ECL data type that Profile can deal with
SHARED EmptyDataLayout := RECORD
BOOLEAN f_boolean;
INTEGER f_integer;
UNSIGNED f_unsigned;
UNSIGNED INTEGER f_unsigned_integer;
BIG_ENDIAN INTEGER f_big_endian_integer;
BIG_ENDIAN UNSIGNED f_big_endian_unsigned;
BIG_ENDIAN UNSIGNED INTEGER f_big_endian_unsigned_integer;
LITTLE_ENDIAN INTEGER f_little_endian_integer;
LITTLE_ENDIAN UNSIGNED f_little_endian_unsigned;
LITTLE_ENDIAN UNSIGNED INTEGER f_little_endian_unsigned_integer;
REAL f_real;
DECIMAL32 f_decimal32;
DECIMAL32_6 f_decimal32_6;
UDECIMAL32 f_udecimal32;
UDECIMAL32_6 f_udecimal32_6;
UNSIGNED DECIMAL32 f_unsigned_decimal32;
UNSIGNED DECIMAL32_6 f_unsigned_decimal32_6;
STRING f_string;
STRING256 f_string256;
ASCII STRING f_ascii_string;
ASCII STRING256 f_ascii_string256;
EBCDIC STRING f_ebcdic_string;
EBCDIC STRING256 f_ebcdic_string256;
QSTRING f_qstring;
QSTRING256 f_qstring256;
UNICODE f_unicode;
UNICODE_de f_unicode_de;
UNICODE256 f_unicode256;
UNICODE_de256 f_unicode_de256;
UTF8 f_utf8;
UTF8_de f_utf8_de;
DATA f_data;
DATA16 f_data16;
VARSTRING f_varstring;
VARSTRING256 f_varstring256;
VARUNICODE f_varunicode;
VARUNICODE_de f_varunicode_de;
VARUNICODE256 f_varunicode256;
VARUNICODE_de256 f_varunicode_de256;
END;
SHARED Empty_Data := DATASET
(
1,
TRANSFORM
(
EmptyDataLayout,
SELF := []
)
);
SHARED Empty_Data_Profile := DataPatterns.Profile(Empty_Data, features := 'cardinality,best_ecl_types,lengths,modes,patterns');
// Convenience function for testing the same thing for several attributes
SHARED TestEmptyAttr(STRING attributeName) :=
[
ASSERT(ValueForAttr(Empty_Data_Profile, attributeName, cardinality) = 0),
ASSERT(ValueForAttr(Empty_Data_Profile, attributeName, best_attribute_type) = ValueForAttr(Empty_Data_Profile, attributeName, given_attribute_type)),
ASSERT(ValueForAttr(Empty_Data_Profile, attributeName, min_length) = 0),
ASSERT(ValueForAttr(Empty_Data_Profile, attributeName, max_length) = 0),
ASSERT(ValueForAttr(Empty_Data_Profile, attributeName, ave_length) = 0),
ASSERT(COUNT(ValueForAttr(Empty_Data_Profile, attributeName, popular_patterns)) = 0),
ASSERT(COUNT(ValueForAttr(Empty_Data_Profile, attributeName, rare_patterns)) = 0),
ASSERT(TRUE)
];
EXPORT Test_Empty_Data_Profile :=
[
TestEmptyAttr('f_ascii_string'),
TestEmptyAttr('f_ascii_string16'),
TestEmptyAttr('f_big_endian_integer'),
TestEmptyAttr('f_big_endian_unsigned'),
TestEmptyAttr('f_big_endian_unsigned_integer'),
TestEmptyAttr('f_data'),
TestEmptyAttr('f_decimal32'),
TestEmptyAttr('f_decimal32_6'),
TestEmptyAttr('f_ebcdic_string'),
TestEmptyAttr('f_ebcdic_string16'),
TestEmptyAttr('f_integer'),
TestEmptyAttr('f_little_endian_integer'),
TestEmptyAttr('f_little_endian_unsigned'),
TestEmptyAttr('f_little_endian_unsigned_integer'),
TestEmptyAttr('f_qstring'),
TestEmptyAttr('f_qstring16'),
TestEmptyAttr('f_real'),
TestEmptyAttr('f_string'),
TestEmptyAttr('f_string16'),
TestEmptyAttr('f_udecimal32'),
TestEmptyAttr('f_udecimal32_6'),
TestEmptyAttr('f_unicode'),
TestEmptyAttr('f_unicode16'),
TestEmptyAttr('f_unicode_de'),
TestEmptyAttr('f_unicode_de16'),
TestEmptyAttr('f_unsigned'),
TestEmptyAttr('f_unsigned_decimal32'),
TestEmptyAttr('f_unsigned_decimal32_6'),
TestEmptyAttr('f_unsigned_integer'),
TestEmptyAttr('f_utf8'),
TestEmptyAttr('f_utf8_de'),
TestEmptyAttr('f_varstring'),
TestEmptyAttr('f_varstring16'),
TestEmptyAttr('f_varunicode'),
TestEmptyAttr('f_varunicode16'),
TestEmptyAttr('f_varunicode_de'),
TestEmptyAttr('f_varunicode_de16'),
// Handle BOOLEAN special because it is not truly empty
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_boolean', cardinality) = 1),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_boolean', best_attribute_type) = ValueForAttr(Empty_Data_Profile, 'f_boolean', given_attribute_type)),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_boolean', min_length) = 1),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_boolean', max_length) = 1),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_boolean', ave_length) = 1),
ASSERT(COUNT(ValueForAttr(Empty_Data_Profile, 'f_boolean', popular_patterns)) = 1),
ASSERT(COUNT(ValueForAttr(Empty_Data_Profile, 'f_boolean', rare_patterns)) = 0),
// Handle fixed-length DATA special because it is not truly empty
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_data16', cardinality) = 1),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_data16', best_attribute_type) = ValueForAttr(Empty_Data_Profile, 'f_data16', given_attribute_type)),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_data16', min_length) = 16),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_data16', max_length) = 16),
ASSERT(ValueForAttr(Empty_Data_Profile, 'f_data16', ave_length) = 16),
ASSERT(COUNT(ValueForAttr(Empty_Data_Profile, 'f_data16', popular_patterns)) = 1),
ASSERT(COUNT(ValueForAttr(Empty_Data_Profile, 'f_data16', rare_patterns)) = 0),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Unicode pattern detection
//--------------------------------------------------------------------------
SHARED Pattern_Unicode := DATASET
(
[
U'abcd\353', U'ABCDË'
],
{UNICODE_de5 s}
);
SHARED Pattern_Unicode_Profile := DataPatterns.Profile(Pattern_Unicode, features := 'patterns');
EXPORT Test_Pattern_Unicode_Profile :=
[
ASSERT(Pattern_Unicode_Profile[1].given_attribute_type = 'unicode_de5'),
ASSERT(COUNT(Pattern_Unicode_Profile[1].popular_patterns) = 2),
ASSERT(Pattern_Unicode_Profile[1].popular_patterns[1].data_pattern = 'AAAAA'),
ASSERT(Pattern_Unicode_Profile[1].popular_patterns[1].rec_count = 1),
ASSERT(Pattern_Unicode_Profile[1].popular_patterns[2].data_pattern = 'aaaaa'),
ASSERT(Pattern_Unicode_Profile[1].popular_patterns[2].rec_count = 1),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Punctuation pattern test
//--------------------------------------------------------------------------
SHARED Pattern_Punctuation := DATASET
(
[
'This! Is- Not. Helpful?'
],
{STRING s}
);
SHARED Pattern_Punctuation_Profile := DataPatterns.Profile(Pattern_Punctuation, features := 'patterns');
EXPORT Test_Pattern_Punctuation_Profile :=
[
ASSERT(Pattern_Punctuation_Profile[1].attribute = 's'),
ASSERT(COUNT(Pattern_Punctuation_Profile[1].popular_patterns) = 1),
ASSERT(Pattern_Punctuation_Profile[1].popular_patterns[1].data_pattern = 'Aaaa! Aa- Aaa. Aaaaaaa?'),
ASSERT(Pattern_Punctuation_Profile[1].popular_patterns[1].rec_count = 1),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Finding integers within strings test
//--------------------------------------------------------------------------
SHARED Best_Integer := DATASET
(
[
{'-100', '-100', '-1000', '-10000', '-100000'},
{'100', '100', '1000', '10000', '100000'}
],
{STRING s1, STRING s2, STRING s3, STRING s4, STRING s5}
);
SHARED Best_Integer_Profile := DataPatterns.Profile(Best_Integer, features := 'best_ecl_types');
EXPORT Test_Best_Integer_Profile :=
[
ASSERT(ValueForAttr(Best_Integer_Profile, 's1', best_attribute_type) = 'integer2'),
ASSERT(ValueForAttr(Best_Integer_Profile, 's2', best_attribute_type) = 'integer2'),
ASSERT(ValueForAttr(Best_Integer_Profile, 's3', best_attribute_type) = 'integer3'),
ASSERT(ValueForAttr(Best_Integer_Profile, 's4', best_attribute_type) = 'integer3'),
ASSERT(ValueForAttr(Best_Integer_Profile, 's5', best_attribute_type) = 'integer4'),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Finding unsigned integers within strings test
//--------------------------------------------------------------------------
SHARED Best_Unsigned := DATASET
(
[
{'100', '100', '1000', '10000', '100000'}
],
{STRING s1, STRING s2, STRING s3, STRING s4, STRING s5}
);
SHARED Best_Unsigned_Profile := DataPatterns.Profile(Best_Unsigned, features := 'best_ecl_types');
EXPORT Test_Best_Unsigned_Profile :=
[
ASSERT(ValueForAttr(Best_Unsigned_Profile, 's1', best_attribute_type) = 'unsigned2'),
ASSERT(ValueForAttr(Best_Unsigned_Profile, 's2', best_attribute_type) = 'unsigned2'),
ASSERT(ValueForAttr(Best_Unsigned_Profile, 's3', best_attribute_type) = 'unsigned2'),
ASSERT(ValueForAttr(Best_Unsigned_Profile, 's4', best_attribute_type) = 'unsigned3'),
ASSERT(ValueForAttr(Best_Unsigned_Profile, 's5', best_attribute_type) = 'unsigned3'),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Finding reals within strings test
//--------------------------------------------------------------------------
SHARED Best_Real := DATASET
(
[
{'99.99', '-99.99', '9.1234e-10', '.123', '99.0'}
],
{STRING s1, STRING s2, STRING s3, STRING s4, STRING s5}
);
SHARED Best_Real_Profile := DataPatterns.Profile(Best_Real, features := 'best_ecl_types');
EXPORT Test_Best_Real_Profile :=
[
ASSERT(ValueForAttr(Best_Real_Profile, 's1', best_attribute_type) = 'real4'),
ASSERT(ValueForAttr(Best_Real_Profile, 's2', best_attribute_type) = 'real4'),
ASSERT(ValueForAttr(Best_Real_Profile, 's3', best_attribute_type) = 'real8'),
ASSERT(ValueForAttr(Best_Real_Profile, 's4', best_attribute_type) = 'real4'),
ASSERT(ValueForAttr(Best_Real_Profile, 's5', best_attribute_type) = 'real4'),
ASSERT(TRUE)
];
//--------------------------------------------------------------------------
// Not actually numbers test
//--------------------------------------------------------------------------
SHARED Best_NaN := DATASET
(
[
{'123456789012345678901', '-12345678901234567890', '9.1234e-1000', '99.1234567890123456', '123456789012345678901.0'}
],
{STRING s1, STRING s2, STRING s3, STRING s4, STRING s5}
);
SHARED Best_NaN_Profile := DataPatterns.Profile(Best_NaN, features := 'best_ecl_types');
EXPORT Test_Best_NaN_Profile :=
[
ASSERT(ValueForAttr(Best_NaN_Profile, 's1', best_attribute_type) = 'string21'),
ASSERT(ValueForAttr(Best_NaN_Profile, 's2', best_attribute_type) = 'string21'),
ASSERT(ValueForAttr(Best_NaN_Profile, 's3', best_attribute_type) = 'string12'),
ASSERT(ValueForAttr(Best_NaN_Profile, 's4', best_attribute_type) = 'string19'),
ASSERT(ValueForAttr(Best_NaN_Profile, 's5', best_attribute_type) = 'string23'),
ASSERT(TRUE)
];
END;