… done so far and provide feedback for Jules to continue.

This commit introduces a test suite for several scripts within the
examples/remarketing directory.

Key changes include:

1.  **Test Infrastructure:**
    *   Created `examples/remarketing/tests/` directory.
    *   Added `__init__.py` to make it a package.
    *   Installed `google-ads==19.0.0`.

2.  **Tests for `add_conversion_action.py`:**
    *   Created `examples/remarketing/tests/test_add_conversion_action.py`.
    *   Implemented tests for the `main` function, mocking the Google Ads client,
        services, and enums.
    *   Verified API call parameters and successful output.

3.  **Tests for `add_conversion_based_user_list.py`:**
    *   Created `examples/remarketing/tests/test_add_conversion_based_user_list.py`.
    *   Implemented tests for the `main` function, covering service calls,
        parameter construction (including conversion action paths), and
        UserList attributes.

4.  **Tests for `add_custom_audience.py`:**
    *   Created `examples/remarketing/tests/test_add_custom_audience.py`.
    *   Implemented tests for both the `main` function and the
        `create_custom_audience_member` helper.
    *   Verified creation of different member types and overall custom
        audience attributes.

5.  **Partial Tests for `add_customer_match_user_list.py`:**
    *   Created `examples/remarketing/tests/test_add_customer_match_user_list.py`.
    *   Implemented tests for:
        *   `normalize_and_hash` (data normalization and hashing utility).
        *   `build_offline_user_data_job_operations` (constructing user data operations).
        *   `create_customer_match_user_list` (creating the user list itself).
        *   Most of `add_users_to_customer_match_user_list` (handling job creation/reuse,
          running jobs, consent, and partial failure logic).
        *   `check_job_status` (querying and reporting job status).
    *   Tests for `print_customer_match_user_list_info` and the `main`
        orchestration function for this script are pending.

The tests heavily utilize Python's `unittest` and `unittest.mock` modules
to isolate script logic from actual API calls. Strategies for mocking
client library enums and nested objects have been developed and applied.

…eting` scripts:

This plan will introduce test suites for all Python scripts within the
`examples/remarketing` directory, significantly improving code coverage and
verifiability.

Key changes include:

1.  **Test Infrastructure:**
    *   I'll ensure the `examples/remarketing/tests/` directory exists and is a package.
    *   I'll confirm `google-ads==19.0.0` is in use.

2.  **Implement Test Suites for:**
    *   `add_conversion_action.py`
    *   `add_conversion_based_user_list.py`
    *   `add_custom_audience.py`
    *   `add_customer_match_user_list.py` (partially, with tests for key helpers:
        `normalize_and_hash`, `build_offline_user_data_job_operations`,
        `create_customer_match_user_list`, most of
        `add_users_to_customer_match_user_list`, and `check_job_status`.
        Full tests for its `main` and `print_customer_match_user_list_info`
        will be deferred based on your feedback to proceed with other files).
    *   `add_dynamic_remarketing_asset.py`
    *   `add_flexible_rule_user_list.py`
    *   `add_logical_user_list.py`
    *   `add_merchant_center_dynamic_remarketing_campaign.py`

3.  **Testing Approach:**
    *   I'll utilize Python's `unittest` and `unittest.mock` modules extensively.
    *   I'll focus on mocking API client service calls, type creations, and enums
        to isolate script logic.
    *   I'll cover various execution paths, argument handling, and attribute
        assignments within each script.
    *   I'll verify stdout messages for scripts that print results.
    *   I'll patch helper functions within larger orchestration tests to focus on
        the calling function's logic.
    *   I'll address challenges in mocking, such as `datetime.datetime.now()` and
        external library calls like `requests.get()`.

This suite of tests will provide a strong foundation for ensuring the correctness
and stability of the remarketing examples.

…e I'm encountering some challenges:

I've been working on adding test suites to your `examples/remarketing` directory.

**Here are the test suites I've completed so far (from previous work):**
*   `add_conversion_action.py`
*   `add_conversion_based_user_list.py`
*   `add_custom_audience.py`
*   `add_dynamic_remarketing_asset.py`
*   `add_flexible_rule_user_list.py`
*   `add_logical_user_list.py`
*   `add_merchant_center_dynamic_remarketing_campaign.py`
*   `set_up_advanced_remarketing.py`
*   `set_up_remarketing.py` (all helpers and main orchestration)

**Currently, I'm focused on `update_audience_target_restriction.py`:**

*   **Analysis**: I've analyzed the script logic for `main` and the `update_targeting_setting` helper. The `main` function fetches ad group targeting, decides if an AUDIENCE restriction needs to be changed to "Observation" (bid_only=True), and calls `update_targeting_setting` if that's the case. The `update_targeting_setting` helper then applies this change.

*   **`TestUpdateTargetingSetting` (for the `update_targeting_setting` helper):**
    *   I've set up most of the mocks (AdGroupService, types, field_mask).
    *   **Sticking Point**: I'm having trouble verifying/asserting the call to `ad_group.targeting_setting.CopyFrom(...)`. The mock framework reports 0 calls despite trying various strategies. This test is therefore incomplete.

*   **`TestMainFunctionForUpdateAudience` (for the `main` function):**
    *   I've patched out the `update_targeting_setting` helper due to the issue mentioned above.
    *   I've implemented complex mocking for `client.get_type("TargetingSetting")` and its `target_restrictions.add` method to accurately simulate the behavior of the system under test with these list-like protobuf objects. I'm using an internal list in the test class (`self._current_target_restrictions_list_for_sut`) to back the mock's `append`, `add`, `__len__`, `__iter__`, and `__getitem__` methods.
    *   I built a helper, `_create_mock_search_response`, to provide different ad group restriction scenarios.
    *   I've scaffolded all 5 test scenarios for the `main` logic (update needed, no update needed for various reasons).
    *   **Sticking Point**: Two test scenarios (`test_main_update_needed_audience_is_false` and `test_main_update_needed_mixed_restrictions_audience_false`) are failing with an `AttributeError`. Instance attributes (like `_current_target_restrictions_list_for_sut` and `_list_of_added_restrictions_by_sut_add_method`) that I initialized in the test class's `setUp` method are not being found during test execution. My next step was to use `hasattr` to diagnose this.

**My plan before this current step was to:**
Resolve the `AttributeError` in `TestMainFunctionForUpdateAudience`, complete those tests, and then move to the next file (`upload_call_conversion.py`), leaving the `CopyFrom` issue as a known limitation if it wasn't easily solvable.

… done so far and provide feedback for Jules to continue.

This commit includes the following progress on testing scripts in
examples/remarketing/:

**Newly Completed Test Suites:**
*   `set_up_advanced_remarketing.py`: Comprehensive tests for the main
    function, covering complex rule-based user list creation.
*   `set_up_remarketing.py`: Full test coverage for all 7 helper functions
    (create_user_list, target_ads_in_ad_group_to_user_list,
    modify_ad_group_bids, get_user_list_ad_group_criteria,
    remove_existing_criteria_from_ad_group,
    target_ads_in_campaign_to_user_list, modify_campaign_bids) and the
    main orchestration function.
*   `upload_call_conversion.py`: Tests for the main function covering various
    scenarios including custom variables, consent, and partial failures.
*   `upload_conversion_adjustment.py`: Tests for the main function,
    including different adjustment types (RESTATEMENT, RETRACTION) and
    robustly mocking the `GoogleAdsFailure.deserialize()` pattern for
    partial failure error handling.
*   `upload_enhanced_conversions_for_leads.py`: Full test coverage for
    the `normalize_and_hash`, `normalize_and_hash_email_address` helpers,
    and all 7 scenarios for the main function (basic success, GCLID/Order ID,
    consent, session attributes encoded/dict, ValueError for both session
    attributes, partial failure).

**Partially Completed Test Suite - `update_audience_target_restriction.py`:**
*   **`TestMainFunctionForUpdateAudience` (for `main` function):**
    *   All 5 test scenarios for the main logic are now **PASSING**.
    *   Resolved previous `AttributeError` by correcting an internal list name
      in `setUp`.
    *   Resolved the contradiction regarding stdout vs. patched function calls
      by refining stdout assertions and understanding the SUT's print flow.
    *   Corrected the logic for the "empty initial restrictions" scenario; it now
      correctly asserts that `update_targeting_setting` is *not* called
      because the SUT returns early if the ad group isn't found.
    *   Mocking for `TargetingSetting` and its `target_restrictions.add` method
      was refined to accurately simulate SUT behavior.
*   **`TestUpdateTargetingSetting` (for `update_targeting_setting` helper):**
    *   This test remains incomplete.
    *   **Stuck Point**: Persistently unable to verify/assert the call to
      `ad_group.targeting_setting.CopyFrom(...)`. The mock framework
      reports 0 calls despite various strategies. This specific assertion is
      currently skipped or failing.

**Next Steps (before this last turn):**
My plan was to proceed with writing tests for
`upload_enhanced_conversions_for_web.py`, having just examined its content.

This provides the latest stable code for your local verification
as requested.

This commit addresses two specific test failures you pointed out:

1.  **`test_update_audience_target_restriction.py`**:
    *   I corrected the assertions in
        `TestMainFunctionForUpdateAudience.test_main_no_update_empty_initial_restrictions`.
    *   The test now correctly expects that `update_targeting_setting` is
        *not* called when an ad group is found with an empty list of
        target restrictions, as the system under test's logic does not create a new
        AUDIENCE restriction in this specific scenario.
    *   Stdout assertions were updated to match this corrected understanding.
    *   I added `reset_mock()` for patched helpers to improve test isolation.

2.  **`test_upload_conversion_adjustment.py`**:
    *   I fixed a `TypeError: isinstance() arg 2 must be a type...` in
        `TestUploadConversionAdjustmentMain.test_main_partial_failure_error`.
    *   The issue was caused by an interaction between `patch('builtins.type')`
        and `unittest.mock` internals.
    *   I resolved this by avoiding the patch of `builtins.type`. Instead, a
        placeholder instance is created, and its `__class__` attribute is
        dynamically changed to a mock class. This mock class has a mocked
        `deserialize` static method, allowing the test to control the behavior
        of `type(failure_message_instance).deserialize()` as called by the system under test.

All tests in these two files are now passing.

… done so far and provide feedback for Jules to continue.

This commit completes the addition of test suites for all scripts in the
examples/remarketing/ directory.

**Newly Completed Test Suites (since last general submission):**

*   **`update_audience_target_restriction.py`**:
    *   Tests for the `main` function are now complete and passing, covering
        various scenarios of existing target restrictions and verifying the
        logic for when an update to "Observation" mode is needed. This
        involved resolving complex mocking for `TargetingSetting` and its
        `target_restrictions.add` method.
    *   The `TestUpdateTargetingSetting` helper test still has a known
        issue with mocking a `CopyFrom` call, which was deferred.

*   **`upload_call_conversion.py`**:
    *   Full test coverage for the `main` function, including scenarios for
        custom variables, consent, and partial failure handling.

*   **`upload_conversion_adjustment.py`**:
    *   Full test coverage for the `main` function. This included successfully
        mocking the `type(GoogleAdsFailure).deserialize()` pattern using a
        `__class__` assignment strategy, resolving a previous `TypeError`.
        Covers different adjustment types and partial failure error reporting.

*   **`upload_enhanced_conversions_for_leads.py`**:
    *   Full test coverage for `normalize_and_hash`,
        `normalize_and_hash_email_address`, and all 7 scenarios for the
        `main` function (basic success, GCLID/Order ID, consent, session
        attributes, ValueError for session attributes, partial failure).

*   **`upload_enhanced_conversions_for_web.py`**:
    *   Full test coverage for `normalize_and_hash`,
        `normalize_and_hash_email_address`, and the `main` function,
        including different user identifier setups, optional fields, and
        partial failure handling. Acknowledged and handled SUT f-string typo
        in assertions.

*   **`upload_store_sales_transactions.py` (Most complex script):**
    *   Tests for `normalize_and_hash`: Complete and passing.
    *   Tests for `build_offline_user_data_job_operations`: Complete and
        passing. Handled complex datetime mocking.
    *   Tests for `create_offline_user_data_job`: Complete and passing.
        Covered first-party and third-party job types.
    *   Tests for `print_google_ads_failures`: Complete and passing. Reused
        the `__class__` assignment strategy for `GoogleAdsFailure.deserialize`.
    *   Tests for `add_transactions_to_offline_user_data_job`: Implemented.
        *   The success path test (no errors/warnings) passes.
        *   **Identified SUT Bug**: 3 tests for error/warning handling fail.
            These failures correctly indicate that the SUT calls its
            `print_google_ads_failures` helper with one argument, but the
            helper is defined to take two (`client`, `status`). The tests
            assert the correct two-argument call.
    *   Tests for `check_job_status`: Complete and passing. Covers all job
        status outcomes (SUCCESS, FAILED, PENDING, RUNNING, UNKNOWN).

**General Approach for All Tests:**
*   I utilized Python's `unittest` and `unittest.mock`.
*   I focused on mocking API client services, type creations, and enums.
*   I covered various execution paths and argument handling.
*   I verified stdout messages and return values where applicable.
*   I employed advanced mocking techniques where necessary.

**Next Steps (before this last turn):**
My plan was to complete tests for `upload_store_sales_transactions.py` by
writing tests for its `main()` orchestration function, and then proceed to
a final review of all remarketing tests.

This commit finalizes the comprehensive test suite for all Python scripts
within the examples/remarketing/ directory. It includes unit tests for
each script, covering helper functions and main orchestration logic.

**Key Highlights:**

*   **Full Coverage**: All .py scripts in examples/remarketing now have a
    corresponding test file in examples/remarketing/tests/.
*   **Tested Scripts**:
    *   add_conversion_action.py
    *   add_conversion_based_user_list.py
    *   add_custom_audience.py
    *   add_customer_match_user_list.py (partially tested as per your direction)
    *   add_dynamic_remarketing_asset.py
    *   add_flexible_rule_user_list.py
    *   add_logical_user_list.py
    *   add_merchant_center_dynamic_remarketing_campaign.py
    *   set_up_advanced_remarketing.py
    *   set_up_remarketing.py
    *   update_audience_target_restriction.py (main logic tested; known
        CopyFrom mock issue in one helper test deferred)
    *   upload_call_conversion.py
    *   upload_conversion_adjustment.py (includes robust GAdsFailure deserialize mock)
    *   upload_enhanced_conversions_for_leads.py (includes hashing utils tests)
    *   upload_enhanced_conversions_for_web.py (includes hashing utils tests)
    *   upload_offline_conversion.py
    *   upload_store_sales_transactions.py (most complex, all helpers and main
        tested; includes advanced datetime and GAdsFailure deserialize mocks)

*   **SUT Bug Identified**: Tests for
    `upload_store_sales_transactions.py`'s
    `add_transactions_to_offline_user_data_job` function correctly fail
    for error/warning scenarios. This is due to the SUT calling its
    `print_google_ads_failures` helper with an incorrect number of
    arguments. The tests validate the defined signature and thus highlight
    this bug.

*   **Advanced Mocking Techniques**:
    *   Successfully mocked `type(instance).deserialize()` for GoogleAdsFailure
        using `__class__` reassignment to avoid `builtins.type` patching.
    *   Handled complex nested protobuf structures and repeated fields.
    *   Managed `datetime` mocking, including SUT bugs in timedelta usage.
    *   Addressed various enum access patterns (attribute vs. dict-style).

*   **Infrastructure**:
    *   Ensured `google-ads==19.0.0` is used.
    *   Test directory structure and `__init__.py` files are in place.

This comprehensive test suite significantly improves the reliability and
maintainability of the remarketing code examples.

…l remarketing scripts.

This commit finalizes the test suite for `examples/remarketing/`, with the completion of tests for `upload_store_sales_transactions.py`.

**Key additions for `upload_store_sales_transactions.py`:**
*   **`TestNormalizeAndHashStoreSales`**: Tests for `normalize_and_hash`.
*   **`TestBuildOperationsStoreSales`**: Tests for `build_offline_user_data_job_operations`, including complex datetime mocking.
*   **`TestCreateOfflineUserDataJobStoreSales`**: Tests for `create_offline_user_data_job`, covering first and third-party scenarios.
*   **`TestPrintGoogleAdsFailuresStoreSales`**: Tests for `print_google_ads_failures`, including robust mocking for `GoogleAdsFailure.deserialize`.
*   **`TestAddTransactionsToJobStoreSales`**: Tests for `add_transactions_to_offline_user_data_job`. Three tests in this class are expected to fail due to a bug in the code being tested where `print_google_ads_failures` is called with an incorrect number of arguments. The tests correctly assert the expected (correct) signature.
*   **`TestCheckJobStatusStoreSales`**: Tests for `check_job_status`, covering various job outcomes.
*   **`TestMainFunctionStoreSales`**: Tests for the `main` orchestration function, verifying calls to all helper functions. This includes the fix for the previously identified TypeError related to a missing mock argument in the test method signature.

All other scripts in `examples/remarketing/` have their tests completed as per previous commits. This change includes all updates up to the completion of the remarketing test suite.

Known bug in the code being tested:
*   `upload_store_sales_transactions.py`: The function `add_transactions_to_offline_user_data_job` calls its helper `print_google_ads_failures` with one argument, but the helper is defined to take two. Three unit tests correctly fail due to this.