read_ciclo()
and read_sistec_students()
. (#120)inst/extdata/co_unidade_ensino/co_unidade_ensino.csv
now has the code of all Brazilian federal institutes. (#107)read_sistec()
encode for linux. (#105)read_suap()
. (#99)read_conecta()
. (#97)read_generic_rfept()
and it was wrapped into read_rfept()
. Now, an institute that was not fully integrated to ARIA can use the app converting your databate to a generic layout. (#92)write_output()
. (#104)aria_server()
. (#103)write_output()
now writes only non blanked tables. (#104)aria_ui()
and aria_server()
. (#89)aria()
now has offline and online version (#75)aria_desktop_build()
. This function create a folder with all necessary
files to build the ARIA's desktop version with innosetup. (#74)read_linked_courses()
to read a file with the relation between courses in academic registration and Sistec cyclo. (#55)read_sigaa()
to read datasets with "Campus" and "Cota". (#53)read_sistec()
. (#68)aria()
. (#45)test_mode
parameter in aria()
. Now, it is possible to choose
if you want to run the app in production or test mode. (#29)rfept_data_frame
. This is useful because we don't need to change the code
for every student registration. Now, we just need to create a read_*()
function that
converts to a rfept_data_frame
. (#30)read_rfept()
is a wrapper around read_qacademico()
and read_sigaa()
. Now you just need to specify the folder path and read_rfept()
identifies if it is a qacademico or sigaa file and then read it. (#38)read_sigaa()
. (#33)sistec_compare()
to only work with rfept_data_frame
. (#30)Add the following code to your website.
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