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13 changed files with 1614 additions and 10 deletions

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all.sas
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@@ -1040,14 +1040,17 @@ options noquotelenmax;
returns:
> List of Variables=Name Sex Age Height Weight
For a seperated list of column values:
%put %mf_getvarlist(sashelp.class,dlm=%str(,),quote=double);
returns:
> "Name","Sex","Age","Height","Weight"
@param libds Two part dataset (or view) reference.
@param dlm= provide a delimiter (eg comma or space) to separate the vars
@param quote= use either DOUBLE or SINGLE to quote the results
@param [in] libds Two part dataset (or view) reference.
@param [in] dlm= ( ) Provide a delimiter (eg comma or space) to separate the
variables
@param [in] quote= (none) use either DOUBLE or SINGLE to quote the results
@version 9.2
@author Allan Bowe
@@ -1779,6 +1782,240 @@ Usage:
%mend;
/** @endcond *//**
@file
@brief Asserts the values in a column
@details Useful in the context of writing sasjs tests. The results of the
test are _appended_ to the &outds. table.
Example usage:
data work.checkds;
do checkval='Jane','James','Jill';
output;
end;
run;
%mp_assertcolvals(sashelp.class.name,
checkvals=work.checkds.checkval,
desc=At least one value has a match,
test=ANYVAL
)
data work.check;
do val='M','F';
output;
end;
run;
%mp_assertcolvals(sashelp.class.sex,
checkvals=work.check.val,
desc=All values have a match,
test=ALLVALS
)
<h4> SAS Macros </h4>
@li mf_existds.sas
@li mf_nobs.sas
@li mp_abort.sas
@param [in] indscol The input library.dataset.column to test for values
@param [in] checkvals= A library.dataset.column value containing a UNIQUE
list of values to be compared against the source (indscol).
@param [in] desc= (Testing observations) The user provided test description
@param [in] test= (ALLVALS) The test to apply. Valid values are:
@li ALLVALS - Test is a PASS if ALL values have a match in checkvals
@li ANYVAL - Test is a PASS if at least 1 value has a match in checkvals
@param [out] outds= (work.test_results) The output dataset to contain the
results. If it does not exist, it will be created, with the following format:
|TEST_DESCRIPTION:$256|TEST_RESULT:$4|TEST_COMMENTS:$256|
|---|---|---|
|User Provided description|PASS|Column &indscol contained ALL target vals|
<h4> Related Macros </h4>
@li mp_assertdsobs.sas
@version 9.2
@author Allan Bowe
**/
%macro mp_assertcolvals(indscol,
checkvals=0,
test=ALLVALS,
desc=mp_assertcolvals - no desc provided,
outds=work.test_results
)/*/STORE SOURCE*/;
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc - on macro entry)
)
%local lib ds col clib cds ccol nobs;
%let lib=%scan(&indscol,1,%str(.));
%let ds=%scan(&indscol,2,%str(.));
%let col=%scan(&indscol,3,%str(.));
%mp_abort(iftrue= (%mf_existds(&lib..&ds)=0)
,mac=&sysmacroname
,msg=%str(&lib..&ds not found!)
)
%mp_abort(iftrue= (&checkvals=0)
,mac=&sysmacroname
,msg=%str(Set CHECKVALS to a library.dataset.column containing check vals)
)
%let clib=%scan(&checkvals,1,%str(.));
%let cds=%scan(&checkvals,2,%str(.));
%let ccol=%scan(&checkvals,3,%str(.));
%mp_abort(iftrue= (%mf_existds(&clib..&cds)=0)
,mac=&sysmacroname
,msg=%str(&clib..&cds not found!)
)
%let nobs=%mf_nobs(&clib..&cds);
%mp_abort(iftrue= (&nobs=0)
,mac=&sysmacroname
,msg=%str(&clib..&cds is empty!)
)
%let test=%upcase(&test);
%if &test ne ALLVALS and &test ne ANYVAL %then %do;
%mp_abort(
mac=&sysmacroname,
msg=%str(Invalid test - &test)
)
%end;
%local result orig;
%let result=-1;
%let orig=-1;
proc sql noprint;
select count(*) into: result
from &lib..&ds
where &col not in (
select &ccol from &clib..&cds
);
select count(*) into: orig from &lib..&ds;
quit;
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc after macro query)
)
data;
length test_description $256 test_result $4 test_comments $256;
test_description=symget('desc');
test_result='FAIL';
test_comments="&sysmacroname: &lib..&ds..&col has &result values "
!!"not in &clib..&cds..&ccol ";
%if &test=ANYVAL %then %do;
if &result < &orig then test_result='PASS';
%end;
%else %if &test=ALLVALS %then %do;
if &result=0 then test_result='PASS';
%end;
%else %do;
test_comments="&sysmacroname: Unsatisfied test condition - &test";
%end;
run;
%local ds;
%let ds=&syslast;
proc append base=&outds data=&ds;
run;
proc sql;
drop table &ds;
%mend;/**
@file
@brief Asserts the number of observations in a dataset
@details Useful in the context of writing sasjs tests. The results of the
test are _appended_ to the &outds. table.
Example usage:
%mp_assertdsobs(sashelp.class) %* tests if any observations are present;
<h4> SAS Macros </h4>
@li mf_nobs.sas
@li mp_abort.sas
@param [in] inds input dataset to test for presence of observations
@param [in] desc= (Testing observations) The user provided test description
@param [in] test= (HASOBS) The test to apply. Valid values are:
@li HASOBS - Test is a PASS if the input dataset has any observations
@li EMPTY - Test is a PASS if input dataset is empty
@li EQUALS [integer] - Test passes if obs count matches the provided integer
@param [out] outds= (work.test_results) The output dataset to contain the
results. If it does not exist, it will be created, with the following format:
|TEST_DESCRIPTION:$256|TEST_RESULT:$4|TEST_COMMENTS:$256|
|---|---|---|
|User Provided description|PASS|Dataset &inds has XX obs|
<h4> Related Macros </h4>
@li mp_assertcolvals.sas
@version 9.2
@author Allan Bowe
**/
%macro mp_assertdsobs(inds,
test=HASOBS,
desc=Testing observations,
outds=work.test_results
)/*/STORE SOURCE*/;
%local nobs;
%let nobs=%mf_nobs(&inds);
%let test=%upcase(&test);
%if %substr(&test.xxxxx,1,6)=EQUALS %then %do;
%let val=%scan(&test,2,%str( ));
%mp_abort(iftrue= (%DATATYP(&val)=CHAR)
,mac=&sysmacroname
,msg=%str(Invalid test - &test, expected EQUALS [integer])
)
%let test=EQUALS;
%end;
%else %if &test ne HASOBS and &test ne EMPTY %then %do;
%mp_abort(
mac=&sysmacroname,
msg=%str(Invalid test - &test)
)
%end;
data;
length test_description $256 test_result $4 test_comments $256;
test_description=symget('desc');
test_result='FAIL';
test_comments="&sysmacroname: Dataset &inds has &nobs observations";
%if &test=HASOBS %then %do;
if &nobs>0 then test_result='PASS';
%end;
%else %if &test=EMPTY %then %do;
if &nobs=0 then test_result='PASS';
%end;
%else %if &test=EQUALS %then %do;
if &nobs=&val then test_result='PASS';
%end;
%else %do;
test_comments="&sysmacroname: Unsatisfied test condition - &test";
%end;
run;
%local ds;
%let ds=&syslast;
proc append base=&outds data=&ds;
run;
proc sql;
drop table &ds;
%mend;/**
@file
@brief Copy any file using binary input / output streams
@details Reads in a file byte by byte and writes it back out. Is an
@@ -2812,6 +3049,382 @@ run;
%mend;/**
@file
@brief Checks an input filter table for validity
@details Performs checks on the input table to ensure it arrives in the
correct format. This is necessary to prevent code injection. Will update
SYSCC to 1008 if bad records are found, and call mp_abort.sas for a
graceful service exit (configurable).
Used for dynamic filtering in [Data Controller for SAS&reg;](https://datacontroller.io).
Usage:
%mp_filtercheck(work.filter,targetds=sashelp.class,outds=work.badrecords)
The input table should have the following format:
|GROUP_LOGIC:$3|SUBGROUP_LOGIC:$3|SUBGROUP_ID:8.|VARIABLE_NM:$32|OPERATOR_NM:$10|RAW_VALUE:$4000|
|---|---|---|---|---|---|
|AND|AND|1|AGE|=|12|
|AND|AND|1|SEX|<=|'M'|
|AND|OR|2|Name|NOT IN|('Jane','Alfred')|
|AND|OR|2|Weight|>=|7|
Rules applied:
@li GROUP_LOGIC - only AND/OR
@li SUBGROUP_LOGIC - only AND/OR
@li SUBGROUP_ID - only integers
@li VARIABLE_NM - must be in the target table
@li OPERATOR_NM - only =/>/</<=/>=/BETWEEN/IN/NOT IN/NE/CONTAINS
@li RAW_VALUE - no unquoted values except integers, commas and spaces.
@returns The &outds table containing any bad rows, plus a REASON_CD column.
@param [in] inds The table to be checked, with the format above
@param [in] targetds= The target dataset against which to verify VARIABLE_NM
@param [out] abort= (YES) If YES will call mp_abort.sas on any exceptions
@param [out] outds= The output table, which is a copy of the &inds. table
plus a REASON_CD column, containing only bad records. If bad records found,
the SYSCC value will be set to 1008 (general data problem). Downstream
processes should check this table (and return code) before continuing.
<h4> SAS Macros </h4>
@li mp_abort.sas
@li mf_getuniquefileref.sas
@li mf_getvarlist.sas
@li mf_nobs.sas
@li mp_filtergenerate.sas
@li mp_filtervalidate.sas
<h4> Related Macros </h4>
@li mp_filtergenerate.sas
@li mp_filtervalidate.sas
@version 9.3
@author Allan Bowe
@todo Support date / hex / name literals and exponents in RAW_VALUE field
**/
%macro mp_filtercheck(inds,targetds=,outds=work.badrecords,abort=YES);
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc - on macro entry)
)
/**
* Sanitise the values based on valid value lists, then strip out
* quotes, commas, periods and spaces.
* Only numeric values should remain
*/
data &outds;
set &inds;
length reason_cd $32;
/* closed list checks */
if GROUP_LOGIC not in ('AND','OR') then do;
REASON_CD='GROUP_LOGIC should be either AND or OR';
putlog REASON_CD= GROUP_LOGIC=;
output;
end;
if SUBGROUP_LOGIC not in ('AND','OR') then do;
REASON_CD='SUBGROUP_LOGIC should be either AND or OR';
putlog REASON_CD= SUBGROUP_LOGIC=;
output;
end;
if mod(SUBGROUP_ID,1) ne 0 then do;
REASON_CD='SUBGROUP_ID should be integer';
putlog REASON_CD= SUBGROUP_ID=;
output;
end;
if upcase(VARIABLE_NM) not in
(%upcase(%mf_getvarlist(&targetds,dlm=%str(,),quote=SINGLE)))
then do;
REASON_CD="VARIABLE_NM not in &targetds";
putlog REASON_CD= VARIABLE_NM=;
output;
end;
if OPERATOR_NM not in
('=','>','<','<=','>=','BETWEEN','IN','NOT IN','NE','CONTAINS')
then do;
REASON_CD='Invalid OPERATOR_NM';
putlog REASON_CD= OPERATOR_NM=;
output;
end;
/* special logic */
if OPERATOR_NM='BETWEEN' then raw_value1=tranwrd(raw_value,' AND ','');
else if OPERATOR_NM in ('IN','NOT IN') then do;
if substr(raw_value,1,1) ne '('
or substr(cats(reverse(raw_value)),1,1) ne ')'
then do;
REASON_CD='Missing brackets in RAW_VALUE';
putlog REASON_CD= OPERATOR_NM= raw_value= raw_value1= ;
output;
end;
else raw_value1=substr(raw_value,2,max(length(raw_value)-2,0));
end;
else raw_value1=raw_value;
/* remove nested literals eg '' */
raw_value1=tranwrd(raw_value1,"''",'');
/* now match string literals (always single quotes) */
raw_value2=raw_value1;
regex = prxparse("s/(\').*?(\')//");
call prxchange(regex,-1,raw_value2);
/* remove commas and periods*/
raw_value3=compress(raw_value2,',.');
/* output records that contain values other than digits and spaces */
if notdigit(compress(raw_value3,' '))>0 then do;
putlog raw_value3= $hex32.;
REASON_CD='Invalid RAW_VALUE';
putlog REASON_CD= raw_value= raw_value1= raw_value2= raw_value3=;
output;
end;
run;
%if %mf_nobs(&outds)>0 %then %do;
%if &abort=YES %then %do;
data _null_;
set &outds;
call symputx('REASON_CD',reason_cd,'l');
stop;
run;
%mp_abort(
mac=&sysmacroname,
msg=%str(Filter issues in &inds, first was &reason_cd, details in &outds)
)
%end;
%let syscc=1008;
%return;
%end;
/**
* syntax checking passed but it does not mean the filter is valid
* for that we can run a proc sql validate query
*/
%local fref1;
%let fref1=%mf_getuniquefileref();
%mp_filtergenerate(&inds,outref=&fref1)
/* this macro will also set syscc to 1008 if any issues found */
%mp_filtervalidate(&fref1,&targetds,outds=&outds,abort=&abort)
%mend;
/**
@file
@brief Generates a filter clause from an input table, to a fileref
@details Uses the input table to generate an output filter clause.
This feature is used to create dynamic dropdowns in [Data Controller for SAS&reg](
https://datacontroller.io). The input table should be in the format below:
|GROUP_LOGIC:$3|SUBGROUP_LOGIC:$3|SUBGROUP_ID:8.|VARIABLE_NM:$32|OPERATOR_NM:$10|RAW_VALUE:$4000|
|---|---|---|---|---|---|
|AND|AND|1|AGE|=|12|
|AND|AND|1|SEX|<=|'M'|
|AND|OR|2|Name|NOT IN|('Jane','Alfred')|
|AND|OR|2|Weight|>=|7|
Note - if the above table is received from an external client, the values
should first be validated using the mp_filtercheck.sas macro to avoid risk
of SQL injection.
To generate the filter, run the following code:
data work.filtertable;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,=,12
AND,AND,1,SEX,<=,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Alfred')"
AND,OR,2,Weight,>=,7
;;;;
run;
%mp_filtergenerate(work.filtertable,outref=myfilter)
data _null_;
infile myfilter;
input;
put _infile_;
run;
Will write the following query to the log:
> (
> AGE = 12
> AND
> SEX <= 'M'
> ) AND (
> Name NOT IN ('Jane','Alfred')
> OR
> Weight >= 7
> )
@param [in] inds The input table with query values
@param [out] outref= The output fileref to contain the filter clause. Will
be created (or replaced).
<h4> Related Macros </h4>
@li mp_filtercheck.sas
@li mp_filtervalidate.sas
<h4> SAS Macros </h4>
@li mp_abort.sas
@li mf_nobs.sas
@version 9.3
@author Allan Bowe
**/
%macro mp_filtergenerate(inds,outref=filter);
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc - on macro entry)
)
filename &outref temp;
%if %mf_nobs(&inds)=0 %then %do;
/* ensure we have a default filter */
data _null_;
file &outref;
put '1=1';
run;
%end;
%else %do;
data _null_;
file &outref lrecl=32800;
set &inds end=last;
by SUBGROUP_ID;
if _n_=1 then put '(';
else if first.SUBGROUP_ID then put +1 GROUP_LOGIC '(';
else put +2 SUBGROUP_LOGIC;
put +4 VARIABLE_NM OPERATOR_NM RAW_VALUE;
if last.SUBGROUP_ID then put ')'@;
run;
%end;
%mend;
/**
@file
@brief Checks a generated filter query for validity
@details Runs a generated filter in proc sql with the validate option.
Used in mp_filtercheck.sas in an fcmp container.
Built to support dynamic filtering in
[Data Controller for SAS&reg;](https://datacontroller.io).
Usage:
data work.filtertable;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,=,12
AND,AND,1,SEX,<=,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Alfred')"
AND,OR,2,Weight,>=,7
;;;;
run;
%mp_filtergenerate(work.filtertable,outref=myfilter)
%mp_filtervalidate(myfilter,sashelp.class)
@returns The SYSCC value will be 1008 if there are validation issues.
@param [in] inref The input fileref to validate (generated by
mp_filtergenerate.sas)
@param [in] targetds The target dataset against which to verify the query
@param [out] abort= (YES) If YES will call mp_abort.sas on any exceptions
@param [out] outds= (work.mp_filtervalidate) Output dataset containing the
error / warning message, if one exists. If this table contains any rows,
there are problems!
<h4> SAS Macros </h4>
@li mf_getuniquefileref.sas
@li mf_nobs.sas
@li mp_abort.sas
<h4> Related Macros </h4>
@li mp_filtercheck.sas
@li mp_filtergenerate.sas
@version 9.3
@author Allan Bowe
**/
%macro mp_filtervalidate(inref,targetds,abort=YES,outds=work.mp_filtervalidate);
%mp_abort(iftrue= (&syscc ne 0 or &syserr ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc / syserr=&syserr - on macro entry)
)
%local fref1;
%let fref1=%mf_getuniquefileref();
data _null_;
file &fref1;
infile &inref end=eof;
if _n_=1 then do;
put "proc sql;";
put "validate select * from &targetds";
put "where " ;
end;
input;
put _infile_;
putlog _infile_;
if eof then put ";quit;";
run;
%inc &fref1;
data &outds;
if &sqlrc or &syscc or &syserr then do;
REASON_CD=coalescec(symget('SYSERRORTEXT'),symget('SYSWARNINGTEXT'));
output;
end;
else stop;
run;
filename &fref1 clear;
%if %mf_nobs(&outds)>0 %then %do;
%if &abort=YES %then %do;
data _null_;
set &outds;
call symputx('REASON_CD',reason_cd,'l');
stop;
run;
%mp_abort(
mac=&sysmacroname,
msg=%str(Filter issues in &inref: %quote(&reason_cd))
)
%end;
%let syscc=1008;
%end;
%mend;
/**
@file mp_getconstraints.sas
@brief Get constraint details at column level
@details Useful for capturing constraints before they are dropped / reapplied

View File

@@ -10,14 +10,17 @@
returns:
> List of Variables=Name Sex Age Height Weight
For a seperated list of column values:
%put %mf_getvarlist(sashelp.class,dlm=%str(,),quote=double);
returns:
> "Name","Sex","Age","Height","Weight"
@param libds Two part dataset (or view) reference.
@param dlm= provide a delimiter (eg comma or space) to separate the vars
@param quote= use either DOUBLE or SINGLE to quote the results
@param [in] libds Two part dataset (or view) reference.
@param [in] dlm= ( ) Provide a delimiter (eg comma or space) to separate the
variables
@param [in] quote= (none) use either DOUBLE or SINGLE to quote the results
@version 9.2
@author Allan Bowe

147
base/mp_assertcolvals.sas Normal file
View File

@@ -0,0 +1,147 @@
/**
@file
@brief Asserts the values in a column
@details Useful in the context of writing sasjs tests. The results of the
test are _appended_ to the &outds. table.
Example usage:
data work.checkds;
do checkval='Jane','James','Jill';
output;
end;
run;
%mp_assertcolvals(sashelp.class.name,
checkvals=work.checkds.checkval,
desc=At least one value has a match,
test=ANYVAL
)
data work.check;
do val='M','F';
output;
end;
run;
%mp_assertcolvals(sashelp.class.sex,
checkvals=work.check.val,
desc=All values have a match,
test=ALLVALS
)
<h4> SAS Macros </h4>
@li mf_existds.sas
@li mf_nobs.sas
@li mp_abort.sas
@param [in] indscol The input library.dataset.column to test for values
@param [in] checkvals= A library.dataset.column value containing a UNIQUE
list of values to be compared against the source (indscol).
@param [in] desc= (Testing observations) The user provided test description
@param [in] test= (ALLVALS) The test to apply. Valid values are:
@li ALLVALS - Test is a PASS if ALL values have a match in checkvals
@li ANYVAL - Test is a PASS if at least 1 value has a match in checkvals
@param [out] outds= (work.test_results) The output dataset to contain the
results. If it does not exist, it will be created, with the following format:
|TEST_DESCRIPTION:$256|TEST_RESULT:$4|TEST_COMMENTS:$256|
|---|---|---|
|User Provided description|PASS|Column &indscol contained ALL target vals|
<h4> Related Macros </h4>
@li mp_assertdsobs.sas
@version 9.2
@author Allan Bowe
**/
%macro mp_assertcolvals(indscol,
checkvals=0,
test=ALLVALS,
desc=mp_assertcolvals - no desc provided,
outds=work.test_results
)/*/STORE SOURCE*/;
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc - on macro entry)
)
%local lib ds col clib cds ccol nobs;
%let lib=%scan(&indscol,1,%str(.));
%let ds=%scan(&indscol,2,%str(.));
%let col=%scan(&indscol,3,%str(.));
%mp_abort(iftrue= (%mf_existds(&lib..&ds)=0)
,mac=&sysmacroname
,msg=%str(&lib..&ds not found!)
)
%mp_abort(iftrue= (&checkvals=0)
,mac=&sysmacroname
,msg=%str(Set CHECKVALS to a library.dataset.column containing check vals)
)
%let clib=%scan(&checkvals,1,%str(.));
%let cds=%scan(&checkvals,2,%str(.));
%let ccol=%scan(&checkvals,3,%str(.));
%mp_abort(iftrue= (%mf_existds(&clib..&cds)=0)
,mac=&sysmacroname
,msg=%str(&clib..&cds not found!)
)
%let nobs=%mf_nobs(&clib..&cds);
%mp_abort(iftrue= (&nobs=0)
,mac=&sysmacroname
,msg=%str(&clib..&cds is empty!)
)
%let test=%upcase(&test);
%if &test ne ALLVALS and &test ne ANYVAL %then %do;
%mp_abort(
mac=&sysmacroname,
msg=%str(Invalid test - &test)
)
%end;
%local result orig;
%let result=-1;
%let orig=-1;
proc sql noprint;
select count(*) into: result
from &lib..&ds
where &col not in (
select &ccol from &clib..&cds
);
select count(*) into: orig from &lib..&ds;
quit;
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc after macro query)
)
data;
length test_description $256 test_result $4 test_comments $256;
test_description=symget('desc');
test_result='FAIL';
test_comments="&sysmacroname: &lib..&ds..&col has &result values "
!!"not in &clib..&cds..&ccol ";
%if &test=ANYVAL %then %do;
if &result < &orig then test_result='PASS';
%end;
%else %if &test=ALLVALS %then %do;
if &result=0 then test_result='PASS';
%end;
%else %do;
test_comments="&sysmacroname: Unsatisfied test condition - &test";
%end;
run;
%local ds;
%let ds=&syslast;
proc append base=&outds data=&ds;
run;
proc sql;
drop table &ds;
%mend;

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/**
@file
@brief Asserts the number of observations in a dataset
@details Useful in the context of writing sasjs tests. The results of the
test are _appended_ to the &outds. table.
Example usage:
%mp_assertdsobs(sashelp.class) %* tests if any observations are present;
<h4> SAS Macros </h4>
@li mf_nobs.sas
@li mp_abort.sas
@param [in] inds input dataset to test for presence of observations
@param [in] desc= (Testing observations) The user provided test description
@param [in] test= (HASOBS) The test to apply. Valid values are:
@li HASOBS - Test is a PASS if the input dataset has any observations
@li EMPTY - Test is a PASS if input dataset is empty
@li EQUALS [integer] - Test passes if obs count matches the provided integer
@param [out] outds= (work.test_results) The output dataset to contain the
results. If it does not exist, it will be created, with the following format:
|TEST_DESCRIPTION:$256|TEST_RESULT:$4|TEST_COMMENTS:$256|
|---|---|---|
|User Provided description|PASS|Dataset &inds has XX obs|
<h4> Related Macros </h4>
@li mp_assertcolvals.sas
@version 9.2
@author Allan Bowe
**/
%macro mp_assertdsobs(inds,
test=HASOBS,
desc=Testing observations,
outds=work.test_results
)/*/STORE SOURCE*/;
%local nobs;
%let nobs=%mf_nobs(&inds);
%let test=%upcase(&test);
%if %substr(&test.xxxxx,1,6)=EQUALS %then %do;
%let val=%scan(&test,2,%str( ));
%mp_abort(iftrue= (%DATATYP(&val)=CHAR)
,mac=&sysmacroname
,msg=%str(Invalid test - &test, expected EQUALS [integer])
)
%let test=EQUALS;
%end;
%else %if &test ne HASOBS and &test ne EMPTY %then %do;
%mp_abort(
mac=&sysmacroname,
msg=%str(Invalid test - &test)
)
%end;
data;
length test_description $256 test_result $4 test_comments $256;
test_description=symget('desc');
test_result='FAIL';
test_comments="&sysmacroname: Dataset &inds has &nobs observations";
%if &test=HASOBS %then %do;
if &nobs>0 then test_result='PASS';
%end;
%else %if &test=EMPTY %then %do;
if &nobs=0 then test_result='PASS';
%end;
%else %if &test=EQUALS %then %do;
if &nobs=&val then test_result='PASS';
%end;
%else %do;
test_comments="&sysmacroname: Unsatisfied test condition - &test";
%end;
run;
%local ds;
%let ds=&syslast;
proc append base=&outds data=&ds;
run;
proc sql;
drop table &ds;
%mend;

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/**
@file
@brief Checks an input filter table for validity
@details Performs checks on the input table to ensure it arrives in the
correct format. This is necessary to prevent code injection. Will update
SYSCC to 1008 if bad records are found, and call mp_abort.sas for a
graceful service exit (configurable).
Used for dynamic filtering in [Data Controller for SAS&reg;](https://datacontroller.io).
Usage:
%mp_filtercheck(work.filter,targetds=sashelp.class,outds=work.badrecords)
The input table should have the following format:
|GROUP_LOGIC:$3|SUBGROUP_LOGIC:$3|SUBGROUP_ID:8.|VARIABLE_NM:$32|OPERATOR_NM:$10|RAW_VALUE:$4000|
|---|---|---|---|---|---|
|AND|AND|1|AGE|=|12|
|AND|AND|1|SEX|<=|'M'|
|AND|OR|2|Name|NOT IN|('Jane','Alfred')|
|AND|OR|2|Weight|>=|7|
Rules applied:
@li GROUP_LOGIC - only AND/OR
@li SUBGROUP_LOGIC - only AND/OR
@li SUBGROUP_ID - only integers
@li VARIABLE_NM - must be in the target table
@li OPERATOR_NM - only =/>/</<=/>=/BETWEEN/IN/NOT IN/NE/CONTAINS
@li RAW_VALUE - no unquoted values except integers, commas and spaces.
@returns The &outds table containing any bad rows, plus a REASON_CD column.
@param [in] inds The table to be checked, with the format above
@param [in] targetds= The target dataset against which to verify VARIABLE_NM
@param [out] abort= (YES) If YES will call mp_abort.sas on any exceptions
@param [out] outds= The output table, which is a copy of the &inds. table
plus a REASON_CD column, containing only bad records. If bad records found,
the SYSCC value will be set to 1008 (general data problem). Downstream
processes should check this table (and return code) before continuing.
<h4> SAS Macros </h4>
@li mp_abort.sas
@li mf_getuniquefileref.sas
@li mf_getvarlist.sas
@li mf_nobs.sas
@li mp_filtergenerate.sas
@li mp_filtervalidate.sas
<h4> Related Macros </h4>
@li mp_filtergenerate.sas
@li mp_filtervalidate.sas
@version 9.3
@author Allan Bowe
@todo Support date / hex / name literals and exponents in RAW_VALUE field
**/
%macro mp_filtercheck(inds,targetds=,outds=work.badrecords,abort=YES);
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc - on macro entry)
)
/**
* Sanitise the values based on valid value lists, then strip out
* quotes, commas, periods and spaces.
* Only numeric values should remain
*/
data &outds;
set &inds;
length reason_cd $32;
/* closed list checks */
if GROUP_LOGIC not in ('AND','OR') then do;
REASON_CD='GROUP_LOGIC should be either AND or OR';
putlog REASON_CD= GROUP_LOGIC=;
output;
end;
if SUBGROUP_LOGIC not in ('AND','OR') then do;
REASON_CD='SUBGROUP_LOGIC should be either AND or OR';
putlog REASON_CD= SUBGROUP_LOGIC=;
output;
end;
if mod(SUBGROUP_ID,1) ne 0 then do;
REASON_CD='SUBGROUP_ID should be integer';
putlog REASON_CD= SUBGROUP_ID=;
output;
end;
if upcase(VARIABLE_NM) not in
(%upcase(%mf_getvarlist(&targetds,dlm=%str(,),quote=SINGLE)))
then do;
REASON_CD="VARIABLE_NM not in &targetds";
putlog REASON_CD= VARIABLE_NM=;
output;
end;
if OPERATOR_NM not in
('=','>','<','<=','>=','BETWEEN','IN','NOT IN','NE','CONTAINS')
then do;
REASON_CD='Invalid OPERATOR_NM';
putlog REASON_CD= OPERATOR_NM=;
output;
end;
/* special logic */
if OPERATOR_NM='BETWEEN' then raw_value1=tranwrd(raw_value,' AND ','');
else if OPERATOR_NM in ('IN','NOT IN') then do;
if substr(raw_value,1,1) ne '('
or substr(cats(reverse(raw_value)),1,1) ne ')'
then do;
REASON_CD='Missing brackets in RAW_VALUE';
putlog REASON_CD= OPERATOR_NM= raw_value= raw_value1= ;
output;
end;
else raw_value1=substr(raw_value,2,max(length(raw_value)-2,0));
end;
else raw_value1=raw_value;
/* remove nested literals eg '' */
raw_value1=tranwrd(raw_value1,"''",'');
/* now match string literals (always single quotes) */
raw_value2=raw_value1;
regex = prxparse("s/(\').*?(\')//");
call prxchange(regex,-1,raw_value2);
/* remove commas and periods*/
raw_value3=compress(raw_value2,',.');
/* output records that contain values other than digits and spaces */
if notdigit(compress(raw_value3,' '))>0 then do;
putlog raw_value3= $hex32.;
REASON_CD='Invalid RAW_VALUE';
putlog REASON_CD= raw_value= raw_value1= raw_value2= raw_value3=;
output;
end;
run;
%if %mf_nobs(&outds)>0 %then %do;
%if &abort=YES %then %do;
data _null_;
set &outds;
call symputx('REASON_CD',reason_cd,'l');
stop;
run;
%mp_abort(
mac=&sysmacroname,
msg=%str(Filter issues in &inds, first was &reason_cd, details in &outds)
)
%end;
%let syscc=1008;
%return;
%end;
/**
* syntax checking passed but it does not mean the filter is valid
* for that we can run a proc sql validate query
*/
%local fref1;
%let fref1=%mf_getuniquefileref();
%mp_filtergenerate(&inds,outref=&fref1)
/* this macro will also set syscc to 1008 if any issues found */
%mp_filtervalidate(&fref1,&targetds,outds=&outds,abort=&abort)
%mend;

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/**
@file
@brief Generates a filter clause from an input table, to a fileref
@details Uses the input table to generate an output filter clause.
This feature is used to create dynamic dropdowns in [Data Controller for SAS&reg](
https://datacontroller.io). The input table should be in the format below:
|GROUP_LOGIC:$3|SUBGROUP_LOGIC:$3|SUBGROUP_ID:8.|VARIABLE_NM:$32|OPERATOR_NM:$10|RAW_VALUE:$4000|
|---|---|---|---|---|---|
|AND|AND|1|AGE|=|12|
|AND|AND|1|SEX|<=|'M'|
|AND|OR|2|Name|NOT IN|('Jane','Alfred')|
|AND|OR|2|Weight|>=|7|
Note - if the above table is received from an external client, the values
should first be validated using the mp_filtercheck.sas macro to avoid risk
of SQL injection.
To generate the filter, run the following code:
data work.filtertable;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,=,12
AND,AND,1,SEX,<=,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Alfred')"
AND,OR,2,Weight,>=,7
;;;;
run;
%mp_filtergenerate(work.filtertable,outref=myfilter)
data _null_;
infile myfilter;
input;
put _infile_;
run;
Will write the following query to the log:
> (
> AGE = 12
> AND
> SEX <= 'M'
> ) AND (
> Name NOT IN ('Jane','Alfred')
> OR
> Weight >= 7
> )
@param [in] inds The input table with query values
@param [out] outref= The output fileref to contain the filter clause. Will
be created (or replaced).
<h4> Related Macros </h4>
@li mp_filtercheck.sas
@li mp_filtervalidate.sas
<h4> SAS Macros </h4>
@li mp_abort.sas
@li mf_nobs.sas
@version 9.3
@author Allan Bowe
**/
%macro mp_filtergenerate(inds,outref=filter);
%mp_abort(iftrue= (&syscc ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc - on macro entry)
)
filename &outref temp;
%if %mf_nobs(&inds)=0 %then %do;
/* ensure we have a default filter */
data _null_;
file &outref;
put '1=1';
run;
%end;
%else %do;
data _null_;
file &outref lrecl=32800;
set &inds end=last;
by SUBGROUP_ID;
if _n_=1 then put '(';
else if first.SUBGROUP_ID then put +1 GROUP_LOGIC '(';
else put +2 SUBGROUP_LOGIC;
put +4 VARIABLE_NM OPERATOR_NM RAW_VALUE;
if last.SUBGROUP_ID then put ')'@;
run;
%end;
%mend;

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/**
@file
@brief Checks a generated filter query for validity
@details Runs a generated filter in proc sql with the validate option.
Used in mp_filtercheck.sas in an fcmp container.
Built to support dynamic filtering in
[Data Controller for SAS&reg;](https://datacontroller.io).
Usage:
data work.filtertable;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,=,12
AND,AND,1,SEX,<=,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Alfred')"
AND,OR,2,Weight,>=,7
;;;;
run;
%mp_filtergenerate(work.filtertable,outref=myfilter)
%mp_filtervalidate(myfilter,sashelp.class)
@returns The SYSCC value will be 1008 if there are validation issues.
@param [in] inref The input fileref to validate (generated by
mp_filtergenerate.sas)
@param [in] targetds The target dataset against which to verify the query
@param [out] abort= (YES) If YES will call mp_abort.sas on any exceptions
@param [out] outds= (work.mp_filtervalidate) Output dataset containing the
error / warning message, if one exists. If this table contains any rows,
there are problems!
<h4> SAS Macros </h4>
@li mf_getuniquefileref.sas
@li mf_nobs.sas
@li mp_abort.sas
<h4> Related Macros </h4>
@li mp_filtercheck.sas
@li mp_filtergenerate.sas
@version 9.3
@author Allan Bowe
**/
%macro mp_filtervalidate(inref,targetds,abort=YES,outds=work.mp_filtervalidate);
%mp_abort(iftrue= (&syscc ne 0 or &syserr ne 0)
,mac=&sysmacroname
,msg=%str(syscc=&syscc / syserr=&syserr - on macro entry)
)
%local fref1;
%let fref1=%mf_getuniquefileref();
data _null_;
file &fref1;
infile &inref end=eof;
if _n_=1 then do;
put "proc sql;";
put "validate select * from &targetds";
put "where " ;
end;
input;
put _infile_;
putlog _infile_;
if eof then put ";quit;";
run;
%inc &fref1;
data &outds;
if &sqlrc or &syscc or &syserr then do;
REASON_CD=coalescec(symget('SYSERRORTEXT'),symget('SYSWARNINGTEXT'));
output;
end;
else stop;
run;
filename &fref1 clear;
%if %mf_nobs(&outds)>0 %then %do;
%if &abort=YES %then %do;
data _null_;
set &outds;
call symputx('REASON_CD',reason_cd,'l');
stop;
run;
%mp_abort(
mac=&sysmacroname,
msg=%str(Filter issues in &inref: %quote(&reason_cd))
)
%end;
%let syscc=1008;
%end;
%mend;

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@@ -1,6 +1,12 @@
{
"$schema": "https://cli.sasjs.io/sasjsconfig-schema.json",
"macroFolders": ["base", "meta", "metax", "viya", "lua"],
"macroFolders": [
"base",
"meta",
"metax",
"viya",
"lua"
],
"docConfig": {
"displayMacroCore": false,
"enableLineage": false,
@@ -21,14 +27,18 @@
"serverType": "SASVIYA",
"appLoc": "/Public/temp/macrocore",
"serviceConfig": {
"serviceFolders": ["tests/viya"],
"serviceFolders": [
"tests/base",
"tests/viya"
],
"macroVars": {
"mcTestAppLoc": "/Public/temp/macrocore"
}
},
"deployConfig": {
"deployServicePack": true
}
},
"contextName": "SAS Job Execution compute context"
}
]
}
}

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@@ -0,0 +1,36 @@
/**
@file
@brief Testing mp_assertcolvals macro
<h4> SAS Macros </h4>
@li mp_assertcolvals.sas
**/
data work.checkds;
do checkval='Jane','James','Jill';
output;
end;
run;
%mp_assertcolvals(sashelp.class.name,
checkvals=work.checkds.checkval,
desc=At least one value has a match,
test=ANYVAL
)
data work.check;
do val='M','F';
output;
end;
run;
%mp_assertcolvals(sashelp.class.sex,
checkvals=work.check.val,
desc=All values have a match,
test=ALLVALS
)
%webout(OPEN)
%webout(OBJ, TEST_RESULTS)
%webout(CLOSE)

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/**
@file
@brief Testing mp_filtercheck macro
<h4> SAS Macros </h4>
@li mp_filtercheck.sas
@li mp_assertdsobs.sas
**/
/* valid filter */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,=,12
AND,AND,1,SEX,<=,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Alfred')"
AND,OR,2,Weight,>=,77.7
AND,OR,2,Weight,NE,77.7
;;;;
run;
%mp_filtercheck(work.inds,
targetds=sashelp.class,
outds=work.badrecords,
abort=NO
)
%let syscc=0;
%mp_assertdsobs(work.badrecords,
desc=Valid filter query,
test=EMPTY,
outds=work.test_results
)
/* invalid column */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,invalid,=,12
AND,AND,1,SEX,<=,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Alfred')"
AND,OR,2,Weight,>=,7
;;;;
run;
%mp_filtercheck(work.inds,
targetds=sashelp.class,
outds=work.badrecords,
abort=NO
)
%let syscc=0;
%mp_assertdsobs(work.badrecords,
desc=Invalid column name,
test=HASOBS,
outds=work.test_results
)
/* invalid raw value */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,OR,2,Name,NOT IN,"(''''Jane','Alfred')"
;;;;
run;
%mp_filtercheck(work.inds,
targetds=sashelp.class,
outds=work.badrecords,
abort=NO
)
%let syscc=0;
%mp_assertdsobs(work.badrecords,
desc=Invalid raw value,
test=HASOBS,
outds=work.test_results
)
/* Code injection - column name */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,%abort,=,12
AND,OR,2,Weight,>=,7
;;;;
run;
%mp_filtercheck(work.inds,
targetds=sashelp.class,
outds=work.badrecords,
abort=NO
)
%let syscc=0;
%mp_assertdsobs(work.badrecords,
desc=Code injection - column name,
test=HASOBS,
outds=work.test_results
)
/* Code injection - raw values*/
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,age,=,;;%abort
;;;;
run;
%mp_filtercheck(work.inds,
targetds=sashelp.class,
outds=work.badrecords,
abort=NO
)
%let syscc=0;
%mp_assertdsobs(work.badrecords,
desc=Code injection - raw value abort,
test=HASOBS,
outds=work.test_results
)
%webout(OPEN)
%webout(OBJ, TEST_RESULTS)
%webout(CLOSE)

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/**
@file
@brief Testing mp_filtergenerate macro
<h4> SAS Macros </h4>
@li mp_filtergenerate.sas
@li mp_filtercheck.sas
@li mp_assertdsobs.sas
**/
options source2;
/* valid filter */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,>,5
AND,AND,1,SEX,NE,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Janet')"
AND,OR,2,Weight,>=,84.6
;;;;
run;
%mp_filtercheck(work.inds,targetds=sashelp.class)
%mp_filtergenerate(work.inds,outref=myfilter)
data work.test;
set sashelp.class;
where %inc myfilter;;
run;
%mp_assertdsobs(work.test,
desc=Valid filter,
test=EQUALS 8,
outds=work.test_results
)
/* empty filter (return all records) */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
;;;;
run;
%mp_filtercheck(work.inds,targetds=sashelp.class)
%mp_filtergenerate(work.inds,outref=myfilter)
data work.test;
set sashelp.class;
where %inc myfilter;;
run;
%mp_assertdsobs(work.test,
desc=Empty filter (return all records) ,
test=EQUALS 19,
outds=work.test_results
)
/* single line filter */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,OR,2,Name,IN,"('Jane','Janet')"
;;;;
run;
%mp_filtercheck(work.inds,targetds=sashelp.class)
%mp_filtergenerate(work.inds,outref=myfilter)
data work.test;
set sashelp.class;
where %inc myfilter;;
run;
%mp_assertdsobs(work.test,
desc=Single line filter ,
test=EQUALS 2,
outds=work.test_results
)
/* single line 2 group filter */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
OR,OR,2,Name,IN,"('Jane','Janet')"
OR,OR,3,Name,IN,"('James')"
;;;;
run;
%mp_filtercheck(work.inds,targetds=sashelp.class)
%mp_filtergenerate(work.inds,outref=myfilter)
data work.test;
set sashelp.class;
where %inc myfilter;;
run;
%mp_assertdsobs(work.test,
desc=Single line 2 group filter ,
test=EQUALS 3,
outds=work.test_results
)
/* filter with nothing returned */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,OR,2,Name,IN,"('Jane','Janet')"
AND,OR,3,Name,IN,"('James')"
;;;;
run;
%mp_filtercheck(work.inds,targetds=sashelp.class)
%mp_filtergenerate(work.inds,outref=myfilter)
data work.test;
set sashelp.class;
where %inc myfilter;;
run;
%mp_assertdsobs(work.test,
desc=Filter with nothing returned,
test=EQUALS 0,
outds=work.test_results
)
%webout(OPEN)
%webout(OBJ, TEST_RESULTS)
%webout(CLOSE)

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@@ -0,0 +1,72 @@
/**
@file
@brief Testing mp_filtervalidate macro
<h4> SAS Macros </h4>
@li mp_filtergenerate.sas
@li mp_filtervalidate.sas
@li mp_assertdsobs.sas
**/
/* valid filter */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,AGE,>,5
AND,AND,1,SEX,NE,"'M'"
AND,OR,2,Name,NOT IN,"('Jane','Janet')"
AND,OR,2,Weight,>=,84.6
;;;;
run;
%mp_filtergenerate(work.inds,outref=myfilter)
%mp_filtervalidate(myfilter,sashelp.class,outds=work.results,abort=NO)
%mp_assertdsobs(work.results,
desc=Valid filter,
test=EMPTY,
outds=work.test_results
)
/* empty filter (return all records) */
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
;;;;
run;
%mp_filtergenerate(work.inds,outref=myfilter)
%mp_filtervalidate(myfilter,sashelp.class,outds=work.results,abort=NO)
%mp_assertdsobs(work.results,
desc=Valid filter,
test=EMPTY,
outds=work.test_results
)
/* invalid filter*/
data work.inds;
infile datalines4 dsd;
input GROUP_LOGIC:$3. SUBGROUP_LOGIC:$3. SUBGROUP_ID:8. VARIABLE_NM:$32.
OPERATOR_NM:$10. RAW_VALUE:$4000.;
datalines4;
AND,AND,1,SEX,NE,2
;;;;
run;
%mp_filtergenerate(work.inds,outref=myfilter)
%mp_filtervalidate(myfilter,sashelp.class,outds=work.results,abort=NO)
%let syscc=0;
%mp_assertdsobs(work.results,
desc=Valid filter,
test=EQUALS 1,
outds=work.test_results
)
%webout(OPEN)
%webout(OBJ, TEST_RESULTS)
%webout(CLOSE)