Update convert script DTU CAGs to v1.2.0: use active substance names instead...

Update convert script DTU CAGs to v1.2.0: use active substance names instead of chemical names and exclude substances without ARfD from acute CAGs and substances without ADI from chronic CAGs

Convert-DTUCAG/Convert-DTUCAG.py

 #!/usr/bin/python
 
-__version_info__ = ('1', '1', '0')
+__version_info__ = ('1', '2', '0')
 __version__ = '.'.join(__version_info__)
 
 #############################################################################
@@ -136,6 +136,14 @@ capeg['Name'] = capeg['targetL1'].str[max_len]
 # Set the reference
 capeg['Reference'] = ''
 
+# Remove Acute rows without ARfD 
+capeg.drop(capeg.loc[(capeg['AcuteChronic'] == 'Acute') & ((capeg['arfd'] == 'na') | capeg['arfd'].isna())].index, inplace=True)
+
+# Remove Chronic rows without ADI 
+capeg.drop(capeg.loc[(capeg['AcuteChronic'] == 'Chronic') & ((capeg['adi'].isna() | capeg['arfd'].isna()))].index, inplace=True)
+
+#capeg.to_excel('dump.xlsx', sheet_name='Dump', index=False)
+
 # Done, now wrap this table up
 effects_header = ['idEffect', 'CodeSystem', 'Name', 'Description',
                   'BiologicalOrganisation', 'KeyEventProcess',
@@ -184,7 +192,7 @@ capeg.mcra.addcolumn(['idSubstance', 'Name', 'Description'])
 # ID
 capeg['idSubstance'] = capeg['casNumber']
 # Name
-capeg['Name'] = capeg['chemicalName'].str[max_len]
+capeg['Name'] = capeg['activeSubstance'].str[max_len]
 
 # Done, now wrap this table up
 substances_header = ['idSubstance', 'Name', 'Description',