process_categories(task, result.categories)
end
else
- if result.reason and settings.reason_header then
- lua_mime.modify_headers(task,
- { add = { [settings.reason_header] = { value = 'value', order = 1 } } })
- end
task:insert_result('GPT_HAM', (0.5 - result.probability) * 2, tostring(result.probability))
if settings.autolearn then
task:set_flag("learn_ham")
process_categories(task, result.categories)
end
end
+ if result.reason and settings.reason_header then
+ lua_mime.modify_headers(task,
+ { add = { [settings.reason_header] = { value = tostring(result.reason), order = 1 } } })
+ end
if cache_context then
lua_cache.cache_set(task, redis_cache_key(sel_part), result, cache_context)