add print statement to see why job might be failing

[Marlene-M-Hirose]

DAG is failing on the first run, added a test statement to see what the result is

Checklist for reviewer:

• [ ] Commits should reference a bug or github issue, if relevant (if a bug is referenced, the pull request should include the bug number in the title).
• [ ] If the PR comes from a fork, trigger integration CI tests by running the Push to upstream workflow and provide the <username>:<branch> of the fork as parameter. The parameter will also show up in the logs of the manual-trigger-required-for-fork CI task together with more detailed instructions.
• [ ] If adding a new field to a query, ensure that the schema and dependent downstream schemas have been updated.
• [ ] When adding a new derived dataset, ensure that data is not available already (fully or partially) and recommend extending an existing dataset in favor of creating new ones. Data can be available in the bigquery-etl repository, looker-hub or in looker-spoke-default.

For modifications to schemas in restricted namespaces (see CODEOWNERS):

• [ ] Follow the change control procedure

┆Issue is synchronized with this Jira Task

[dataops-ci-bot]

Integration report for "Merge branch 'main' into deng2631_add_test_print_statement_for_app_conversions_query"

sql.diff

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```diff diff -bur --no-dereference --new-file /tmp/workspace/main-generated-sql/sql/moz-fx-data-shared-prod/microsoft_derived/app_conversions_v1/query.py /tmp/workspace/generated-sql/sql/moz-fx-data-shared-prod/microsoft_derived/app_conversions_v1/query.py --- /tmp/workspace/main-generated-sql/sql/moz-fx-data-shared-prod/microsoft_derived/app_conversions_v1/query.py 2024-06-27 02:56:39.000000000 +0000 +++ /tmp/workspace/generated-sql/sql/moz-fx-data-shared-prod/microsoft_derived/app_conversions_v1/query.py 2024-06-27 02:56:33.000000000 +0000 @@ -214,6 +214,7 @@ json_none_string = change_null_to_string(json_file.text) # Convert the string to a dictionary query_export = eval(json_none_string) + print("This is query_export: ", query_export) if query_export["Value"]: # This section writes the tmp json data into a temp CSV file which will then be put into a BigQuery table microsoft_store_data = clean_json(query_export, date) ```

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