When condition in Pyspark with an equal column

Question

I'm trying to use 2 similar conditions with the like operator as shown in the code below, but all cases are falling on the first one and coming back 3, there's no case coming back with 7, but when I validate the source file they exist.

Dataframe:

id	Type	AdditionalData
1	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:1%7D
2	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:2%7D
3	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:1%7D
4	Lightbox	%7B%22pluginType%22:5,%22Device%22:1%7D
5	None	%7B%22pluginType%22:5,%22Device%22:1%7D
6	PushOptin	%7B%22pluginType%22:5,%22Device%22:1%7D
7	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:1%7D
8	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:2%7D
9	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:2%7D

Expected dataframe:

id	Type	AdditionalData	sk_channel
1	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:1%7D	3
2	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:2%7D	7
3	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:1%7D	3
4	Lightbox	%7B%22pluginType%22:5,%22Device%22:1%7D	4
5	None	%7B%22pluginType%22:5,%22Device%22:1%7D	None
6	PushOptin	%7B%22pluginType%22:5,%22Device%22:1%7D	8
7	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:1%7D	3
8	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:2%7D	7
9	OnSiteMessage	%7B%22pluginType%22:5,%22Device%22:2%7D	7

This is the code I'm using:

df_plugin_type = df_plugin.withColumn('sk_channel',
                                              when(lower(col('Type')).contains('onsitemessage') & lower(col('AdditionalData')).like("%22:1%"), lit(3))
                                              .when(lower(col('Type')).contains('onsitemessage') & lower(col('AdditionalData')).like("%22:2%"), lit(7))
                                              .when(lower(col('Type')).contains('lightbox'), lit(4))
                                              .when(lower(col('Type')).contains('pushoptin'), lit(8))) \
            .filter(col('sk_channel').isNotNull())