Find matching pattern on streaming data using Python

Question

I'm receiving a stream of data in following format

a1 = {"name":"abc","city":"c1","code":"c1234"}
a1 = {"name":"abcd","city":"c1","code":"c3234"}

I need to find which pattern each of these belong to as they are received as message in KAFKA topic.

The patterns are like

p1 : name = 'abc' AND code="c1234"
p2 : city="c1"
p3 : name = 'abc'

Example 1 above should be mapped to p1 as it satisfies more conditions than p2, whereas second example should be mapped to p2.

I tried following

1. Tried using for loops, but that takes lot of time as incoming data & rules are many.
2. Tried to create rules in XML and use XPATH, but the nodes (name, city, code here) are not fixed. Rule can have only one or combination of many.
3. Created matrix like one-hot encoding and tried to match them.

Is there any other way to find out which pattern/ rule the incoming message should be tagged to?

Can this be handled in KAFKA?