Now that LDAP/Active Directory reader have been put on the deprecation list in FME 2023, I'm trying to find an out of the box solution in FME to update my workbenches and continue using it.
Solved
Anybody have solution to connect to an LDAP/Active directory server after Deprecation of the reader in FME 2023?
+1- Contributor
Best answer by jalary
I was able to use python librairy ldap3 to connect and retreive data. Also exporting the result in JSON format.
import json
import fme
import fmeobjects
import ldap3
class FeatureProcessor(object):
def input(self, feature: fmeobjects.FMEFeature):
server = ldap3.Server(feature.getAttribute('server'))
# username and password from parameter
conn = ldap3.Connection(server, FME_MacroValues['username'], FME_MacroValues['password'])
conn.bind()
# scope attribute
conn.search(feature.getAttribute('scope'), f'(objectClass=person)', attributes=['*'])
# to a JSON object
ad_data = conn.entries
ad_data_json = [str(entry.entry_to_json()) for entry in ad_data]
feature.setAttribute("ad_data_json",ad_data_json)
self.pyoutput(feature)
+12- Safer
Hi @Jerome Alary, unfortunately if you want to continue using deprecated formats you'll need to use a version of FME older than 2023.
I believe the LDAP reader used JDBC on the backend, so there may be the potential for you to use the JDBC Reader in FME as long as you have the LDAP JDBC drivers on your machine and have a JDBC string configured.
You can take a look into our JDBC Reader here: https://community.safe.com/s/article/using-the-generic-database-jdbc-format
+1- Contributor
- Best Answer
I was able to use python librairy ldap3 to connect and retreive data. Also exporting the result in JSON format.
import json
import fme
import fmeobjects
import ldap3
class FeatureProcessor(object):
def input(self, feature: fmeobjects.FMEFeature):
server = ldap3.Server(feature.getAttribute('server'))
# username and password from parameter
conn = ldap3.Connection(server, FME_MacroValues['username'], FME_MacroValues['password'])
conn.bind()
# scope attribute
conn.search(feature.getAttribute('scope'), f'(objectClass=person)', attributes=['*'])
# to a JSON object
ad_data = conn.entries
ad_data_json = [str(entry.entry_to_json()) for entry in ad_data]
feature.setAttribute("ad_data_json",ad_data_json)
self.pyoutput(feature)
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