dbt python dynamic passing of table not working

Help
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1

The problem I’m having is to dynamically pass the test names to dbt.ref and dbt .source()

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The context of why I’m trying to do this

im trying to build a data frame with test name and test results wrapped in json format .dbt tests creates transient table for each test and i want to wrap the test name and test result for each test into a single data frame .

What I’ve already tried

Some example code or error messages

import pandas as pd
import logging
import os
 
def model(dbt, session):
   
   dbt.config(packages=[
       "pandas",
       "numpy",
   ],
 
              use_anonmyous_sproc=True)
   result = dbt.ref('table1').to_pandas()
   test_names=list(result['TEST_NAME'])
   wrapped_dict={}
   for test_name in test_names:
       try:
           test_result=dbt.source('schema',str(test_name)).to_pandas()
           json_result=test_result.to_json(orient="records")
           wrapped_dict[test_name]=json_result
       except snowflake.connector.errors.ProgrammingError:
           print(f"Table {test_name} not found in schema. Skipping this table.")
           continue
   df=pd.DataFrame(wrapped_dict)

this is the error Parsing Error
Error when trying to literal_eval an arg to dbt.ref(), dbt.source(), dbt.config() or dbt.config.get()
malformed node or string: <_ast.Name object at 0x7f561c4be7c0>
ast — Abstract Syntax Trees — Python 3.12.2 documentation
In dbt python model, dbt.ref, dbt.source, dbt.config, dbt.config.get function args only support Python literal structures