Can't execute the assertion: An exception was raised by the Python Proxy. Return Message: Object ID unknown!

Hi I am using pydeequ to do some simple testing of data. Even the examples mentioned in the document also report Failure. My code is below and always give me Failure , for example on hasSize

checkResult = VerificationSuite(spark)
.onData(df_perc_per_rec)
.addCheck(
check.hasSize(lambda x: x >= 32)
.isComplete("report_mst_date")
.satisfies('perc_of_count_total >=2 AND perc_of_count_total <= 3', 'b and c', 'None','None')
).run()

checkResult_df = VerificationResult.checkResultsAsDataFrame(spark, checkResult)
checkResult_df.show()
Python Callback server started!
+----------------+-----------+------------+--------------------+-----------------+--------------------+
| check|check_level|check_status| constraint|constraint_status| constraint_message|
+----------------+-----------+------------+--------------------+-----------------+--------------------+
|Integrity checks| Error| Error|SizeConstraint(Si...| Failure|Can't execute the...|
|Integrity checks| Error| Error|CompletenessConst...| Success| |
|Integrity checks| Error| Error|ComplianceConstra...| Failure|Can't execute the...|
+----------------+-----------+------------+--------------------+-----------------+--------------------+

for check_json in checkResult.checkResults:
if check_json['constraint_status'] != "Success":
print(f"\t{check_json['constraint']} failed because: {check_json['constraint_message']}")

SizeConstraint(Size(None)) failed because: Can't execute the assertion: An exception was raised by the Python Proxy. Return Message: Object ID unknown!
ComplianceConstraint(Compliance(b and c,perc_of_count_total >=2 AND perc_of_count_total <= 3,None)) failed because: Can't execute the assertion: An exception was raised by the Python Proxy. Return Message: null!

Can somebody help me here to resolve it ? I am using Spark 2.4, Python 3 (Glue Version 1.0)

Thanks in advance

Beginnen Sie mit den dokumentierten Beispielen und reproduzieren Sie die hasSize- und satisfies-Fehler in der angegebenen Umgebung mit Spark 2.4, Python 3 und Glue Version 1.0. Vergleichen Sie die Assertion-Ergebnisse und Callback-Fehler; der Abschluss ist daran zu erkennen, dass die Checks ohne „Object ID unknown!“ oder null-Assertion-Meldungen ausgeführt werden.

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