read array of filter using when condition pyspark

Question

I want to filter a pyspark data frame using a hive table. I get a list of conditions that I must apply to my data frame from hive table. My pyspark problem doesn't understand the condition I pass at each loop turn. My list of condition :

filtre=[(F.col('Accountable 2')!= 'xxx') | (F.col('Accountable 2')!= 'yyy') | (F.col('level 2') == 'AAYYA') | (F.col('level 2')!= 'SSS') & (F.col('Type')== 'Paint') & (F.col('Cleaning') != 'TTT') & (F.col('Cleaning')!= 'CCC'),
(F.col('Accountable 2')!= 'YYY') | (F.col('Accountable 2')!= 'yyy') | (F.col('level 2') == 'AAYYA') | (F.col('level 2')!= 'SSS') & (F.col('Type')== 'Paint') & (F.col('Cleaning') != 'TTT') & (F.col('Cleaning')!= 'CCC'),
(F.col('Accountable 2')!= 'ZZZ') | (F.col('Accountable 2')!= 'yyy') | (F.col('level 2') == 'AAYYA') | (F.col('level 2')!= 'SSS') & (F.col('Type')== 'Paint') & (F.col('Cleaning') != 'TTT') & (F.col('Cleaning')!= 'BBB'),
(F.col('Cleaning')!='TTT') & (F.col('Cleaning')!='XXX') & (F.col('CND')=='CND'),
(F.col('Operator level')!= 'AAA') & (F.col('level 3')!= 'EEE')]

My code that i use to fitre my data frame:

i = 0
          while i < len(filtre):
            if filtre[i]!="":
              df=df.withColumn("status", F.when(filtre[i],F.lit("ok")).when(F.col("status")=='ok',F.lit("ok")).otherwise(F.lit("ko")))
              i = i + 1
            else:
              df= df.withColumn("status", F.when(F.col("status")=='non',F.lit("ok")).when(F.col("status")=='ok',F.lit("ok")).otherwise(F.lit("ko")))
              i = i + 1

When I try to run this code I have this error message. I don't understand why? if I run each condition on its own works very well.

python/pyspark/sql/functions.py", line 1414, in when
    raise TypeError("condition should be a Column")
TypeError: condition should be a Column