Codex Task Logs

I'll consult AGENTS.md for any guidance before proceeding with the changes.

I'll activate .venv, use ruff, pyright, add tests, and ensure chromium for Playwright. Time to check the README.

I’ll look at the TEST dataset and check the tests related to displaying column headings.

I'll check the server and tests to gather more details.

I'm moving straight to the table view logic now.

I'm looking for "table view" or "aggregate" in the server files.

I'm moving through more lines to find what I need.

I'm opening tests/test_web_table.py to check how table views are tested.

I’m continuing to scroll past 320 lines to find tests tied to table.

I'll take a look at tests/test_web_chips.py to understand the context.

I think the table view logic is in static JS; I'll check "scubaduck/static".

Let's open the table_view.js to explore what’s inside.

I'm moving down the file to check the remaining contents.

I’m scrolling to see if the selectedColumns variable is defined in view_settings.

I’ll open view_settings.js to check how the columns are being selected.

I’m paging towards the 670th line to verify the updateSelectedColumns and related updates.

I need to find where the count aggregator is located, probably in static files.

I made a mistake with the command. Let me try running it again.

When aggregate is count, I shouldn't show headers for non-grouped columns, just "Hits".

With count aggregate, only group_by and Hits columns should be shown, not others.

I'll check the test_server_table group_by_count to review the server-side behavior first.

I'll check tests/test_server_basic to inspect the table tests.

I'm moving forward to check the rest.

I'm looking at tests/test_server_time or timeseries to check for queries aggregation.

I'm continuing to scroll to check for tests related to table count or similar things.

I'll search for "Hits" and "table dimensions" among the tests to find relevant checks.

I'll inspect tests/test_web_table around line 230 to check header show/hide functionality.

I’ll keep going after 220 lines to check for more test cases.

I'm checking the static dataset to see if it includes an 'id' column for testing.

This isn't the test one; I'll check the "TEST" dataset built from _create_test_database.

I see the dataset "TEST" is in use. I'll check tests/test_web_table and conftest.py.

I’m going to open scubaduck/init.py to examine the server fixture.

I need to look for where "app" is defined in the code.

I think it might be in the SCUBADUCK_DB variable or set during tests.

I need to find where the "TEST" dataset is used in test files.

I'm opening tests/test_server_timeseries to look for tests using create_app('TEST').

The test for 'reserved_word_column' uses create_app('TEST'), but not the new feature. I'll check test_server_time.

I'll check other JS functions related to "count" for timeseries before proceeding with the update.

I'll adjust updateSelectedColumns as specified and look at tests/web_utils.py for run_query details.

I need to verify how run_query works in existing tests and check table dimensions.

I need to ensure the test checks correct table dimensions, especially considering horizontal overflow.

I’ll replicate the ‘table_enhancements’ test and check for header names, row counts, and width.

I'll open the timeseries test snippet to replicate the issue.

I'll look through the JavaScript to find where the order_by options are set.

I'm reviewing how updateSelectedColumns handles checkbox groups and order_by edge cases. I’ll update tests for count aggregation.

The user requested a test for an "id" and "Hits" column; I'll create a Web test for the DOM and possibly a server test. Let's also inspect the database to check the data before proceeding.

The default dataset is sample.csv, but I'll adapt the server for the "TEST" dataset as per user request.

I'll open tests/test_multi_table_web.py to see how it customizes server_url for multi-table datasets.

I'll check if there's a generic fixture for the TEST dataset or if I need to adapt.

I’ll add a fixture for the 'TEST' dataset, inspired by test_multi_table_web.

I’ll create the test environment using create_app("TEST") and run run_query without specifying start/end—since the dataset is small enough, it should work fine. Let’s inspect the dataset for column dependencies.

The test might fail due to missing "value" column. I'll check how it's used in tests.

I’ll adapt run_query to avoid relying on 'value' and check for checkboxes' existence.

Instead of using run_query, I'll directly set up the dataset and handle operations manually.

I'll confirm the status of group checkboxes in this section.

I’ll add checks for row counts and table dimensions—ensuring there are 2 rows and no overflow.

I'll modify updateSelectedColumns in table_view.js to exclude aggregated columns based on existing logic.

I'll open the patch now to make the necessary changes.

I'll apply the patch using the apply_patch method.

I'm adding a new fixture and updating tests after checking aggregate count.

I'll verify the file's start to be sure there's no missing newline or issue.

I'll add the new fixture and test at the file's bottom, checking for a newline first.

I’ll add the new fixture and patch the imports for select_value and others.

I'll add the fixture near the top or bottom of the test file.

I'll add the missing multi_table fixture right after the imports.

I'll add the fixture right after the imports but before the first test.

Adding the new test toward the end should work best here.

I'll follow up with a new test after this one.

I'll run ruff format, ruff check, and pyright to verify the code.

Ruff is for Python, so I'll only run ruff format on Python files.

I'll go ahead and run pyright to check for any type errors.

I'll run pytest to check everything is working smoothly.

Everything passed! I'll check the log now for any additional details.

I'm about to commit my changes now!

I'll check the status of the repository to see if anything’s changed.

I’ll gather the line ranges for the changes in view_settings.js.

I'll gather the relevant lines from tests/test_web_table.py for the new test reference.

I’ll grab the line numbers where the new test was added.

I'm checking the new test at the bottom and making sure everything's in place.

I’ll summarize the change, referencing the JS patch from lines 433 to 451 and the new test.