[Rspamd-Users] fuzzy learn condition failed

[christian]

Hello, I get the error message:

2024-08-18 17:06:02 #2206254(controller) <7fdc00>; task; 
fuzzy_process_handler: call to fuzzy learn condition failed: [string 
"return function(task)..."]:3: attempt to compare number with table; 
trace: [1]:{[string "return function(task)..."]:3 - <unknown> [Lua]};


It seems that no evaluation results can be written to the sqlite3 database.

What am I doing wrong? Can you please give me a tip.
Thanks

Here is my fuzzy_check.conf file

rule "wwl" {
     # Fuzzy storage server list
     servers = "localhost:11335";
     # Default symbol for unknown flags
     symbol = "WWL_FUZZY_UNKNOWN";
     # Additional mime types to store/check
     mime_types = ["*"];
     # Hash weight threshold for all maps
     max_score = 30.0;
     # Whether we can learn this storage
     read_only = false;
     # Ignore unknown flags
     skip_unknown = yes;
     # Hash generation algorithm
     algorithm = "mumhash";
     # Use direct hash for short texts
     short_text_direct_hash = true;
	skip_images = false;
	retransmits = 5;
	timeout = 10s; #time: Timeout to wait for a reply from a fuzzy server, 
e.g. 1s, 2m, 5h
	min_bytes = 256;
	min_height = 250;
	min_width = 250;
	scan_archives = true;
	text_shingles = true;
	text_multiplier = 4.0;
	min_length = 32;
	autolearn = true;

learn_condition = <<EOD
return function(task)
   local score = task:get_metric_score('default')
   if score >= 10 then
     return true
   end
   if score <= -5 then
     return true
   end
   return false
end
EOD;
	
	
     # Map flags to symbols
     fuzzy_map = {
         WWL_FUZZY_BLOCK {
             # Local threshold
             max_score = 30.0;
             # Flag to match
             flag = 11;
         }
         WWL_FUZZY_SPAM {
             max_score = 5.0;
             flag = 12;
         }
         WWL_FUZZY_HAM {
			max_score = -1.00;
			flag = 13;
		}		
		WWL_FUZZY_AUTOLEARN_SPAM {
			# Local threshold
			max_score = 5.0;
			# Flag to match
			flag = 15;
		}
	}
}