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CHAPTER 8: Automating Administrative Tasks
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options, and luckily one of them is included with this book. In the book s resource section, the csvtowgm Python script can be used to process your own csv-delimited outputs, and convert them to dsimport-compatible import files. The csvtowgm script accepts data from a csv file, or it can read it from the stdin data stream. Its options are best displayed through the program s help page:
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csvToWGM: converts a csv delimited import file into a dsimport compatible file Syntax: csvToWGM [-i infile] [-o outfile] [-f format] [-h headers] Flags: -i -o -d -h infile outfile delimiter headers -- path to csv import file -- destination path for generated dsimport-compatible output file -- The field delimeter used in your data, default "," -- specify headers if they are not included in the first line of import file. This should be a comma delimited string. -- Use specified config file. If none is specified, the format "users" is assumed. Supported formats: "users" "computers"
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In its basic usage, you can simply pass csvtowgm a user import file for processing and an output path to save the file:
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csvtowgm i ~/Documents/users.csv o ~/Documents/users_dsimport.txt
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csvtowgm will try its best to determine header information from the first line in your file. Optimally, headers will be identical to the dsAttrTypeStandard header. You can find the header resolution determined by csvtowgm by consulting its log file after running the import. The log file will contain an entry specifying the header resolution that was used by the import. Specifically, look for the line:
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INFO Importing headers: '['realname', ' shortname', ' password']' as: '['RealName', 'RecordName', 'Password']'
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Here we are using the csv data specified earlier in this section. We can see the imported headers: realname, shortname, and password, and see their respective mappings. If the system does not properly recognize a header, it will specify a header of IGNORE, and the data will not get imported. To process the file for import, you can specify your headers in comma-separated arguments passed to csvtowgm:
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csvtowgm i ~/Documents/users.csv o ~/Documents/users_dsimport.txt h RealName,RecordName,Password
This will process the file using fixed headers. You can also use csvtowgm to process computer records. Consider the following computer data file:
name,ethernetid hax.lbc,00:50:56:c0:00:08 helyx.lbc,00:50:56:c0:00:01
To import this file, the process is identical to that for users, though we instead specify the computer format using the --f flag: csvtowgm i ~/Documents/machines.csv o ~/Documents/machines_dsimport.txt f computers
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CHAPTER 8: Automating Administrative Tasks
In some cases, you may need some more advanced features, such as field-data generators or other data-population mechanisms. Currently, csvtowgm simply does basic file conversion and has only basic facilities to generate data. If data generation is a need of yours, consider using Passenger (http://macinmind.com), a GUI utility for generating dsimport-compatible files. Once you have data in a dsimport-compatible file, you must import that data into your system. You can do this via the dsimport command, which is fairly straightforward and has three mandatory parameters: filepath, nodepath (the target Directory node for import /LDAPv3/odserver.myco.com), and the conflict resolution options. A conflict occurs when an existing record contains a record name, UID, or GID that s the same as a new record to be imported. There are five different values that can be provided for conflict resolution:
O: Overwrite an existing record if it contains a matching record name, UID, or GID. M: Merge data with any existing records. Create the record if it does not exist. I: Ignore the new record if there is a conflict. A: Append data to an existing record; do not create a new record if it
does not exist
N: Skip conflict detection. This option can be slow and problematic.
So, to import a dsimport file into an Open Directory system, use the following command:
dsimport ~/Documents/users_dsimport.txt /LDAPv3/odserver.myco.com M -userpreset "Staff Member" -username diradmin -password 'mydiradmin password'
In this example, we are importing a user file into our LDAP directory using a merge. Here, we specify the userpreset flag, which allows us to set up a preset in Workgroup manager to establish group memberships, home directory settings, and mail and print settings. (You can create presets using Workgroup Manager.) In this command, we also supply our diradmin credentials to provide access for the import itself, presenting one of the biggest barriers to full automation for this process: any automated processes will need to have a directory administrator s credentials embedded. However, embedding administrator credentials in a script to automate import from a csv is not the only issue with a fully automated user-generation process. For instance, say you set up a launchdaemon with a QueueDirectory entry, which watches a directory for any new files from your information system, passes them to csvtowgm, and then uses the resulting file for import via dsimport. Such a script might look something like this:
#!/bin/bash PATH=/bin;/usr/bin;/usr/local/bin ## set our variables declare x watchFolder="/Library/dsimportwatchdir" declare x dirNode="/LDAPv3/odserver.myco.com"
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