Codex Task Logs

I'll check the AGENTS.md file at the root of the repository for guidance.

Hmm, no output yet. Let me try running ls one more time, just in case.

I think I may have missed starting at the repo root. Let's double-check!

Hmm, it looks like an alias might be interfering. I'll try running again.

I'm moving to the scubaduck subdirectory within /workspace.

I’m checking the AGENTS.md file in the root directory.

I’ll activate the virtual environment, then use ruff check and pyright as needed.

I'm checking out the scubaduck subpackage to explore its contents.

I need to review the tests and confirm their status.

I’ll open the tests/test_web_table.py file to review the code.

It looks like 320 marks the end of the file. I'll check test_server.py next.

I need to check the static directory, focusing on frontend code related to table view.

I'll take a look at table_view.js now.

I need to locate where selectedColumns is defined to understand its role in renderTable.

I’ll take a look at view_settings.js now.

I’m looking for the lines where selectedColumns are being computed.

I'm checking the code around line 430 to see what has changed.

I’m continuing past the 460 mark to gather more details.

I’ll check the code where table headings are set to account for aggregate counting.

I'm looking through the functions that generate SQL queries for tables.

I’ll search the tests for "Hits column" or "group_by" to verify the query builder’s behavior.

I’ll check out the test_web_table file from around line 230.

I'll look for tests that mention table headers, count, or group_by.

Continuing to scroll after 196 lines to capture more details.

I'll add a new test to check for the correct columns and table dimensions.

I'll search for tests involving "count" or "aggregate count" to check header verification.

I'll adjust the code to align selected columns with server returns for aggregate counts.

I’ll inspect the run_query function in tests/web_utils.py to understand query behavior.

I'll check out the front-end layout in index.html to understand how the query results display.

I'll continue scrolling to look at the rest of the file, focusing on the bottom.

The issue is with selectedColumns in view_settings.js when aggregate is count. I'll check server query usage.

I need to locate where the query is being built, possibly at 'buildUrl' or 'execute'.

Looks like I need to modify updateSelectedColumns for aggregate=Count; let's review it around line 470.

I'm adjusting logic for table or timeseries views to handle 'Count' aggregates differently.

I'm adjusting logic to exclude base/derived columns in table view for aggregate 'Count'.

I need to confirm updateSelectedColumns triggers when graph type or aggregate changes for proper filtering.

I’ll check around line 148 for the event binding logic.

I'm looking for any aggregate change events within the system.

I'll check the index.html file, especially around the aggregate field, for any related events.

I think the event updateSelectedColumns might be triggered when the #aggregate select changes.

I'll look deeper for 'aggregate' to find the event-related information.

I'll search for 'aggregate_field' and '#aggregate' to find relevant information.

It seems like the event might be using the plain ID 'aggregate.' I'll check.

I'll search the codebase for both "aggregate" and "event" keywords.

I'll check line 340 in view_settings.js to review the code there.

I wonder if there's an event for aggregate or group_by in the code.

I'll take a look at lines 640 and 677 to see what's happening there.

Let me check what's going on in line 677.

I'll continue scrolling through the changelog starting at line 777.

I'm adjusting updateSelectedColumns to handle both aggregate and selectedColumns matching rows length, while also ensuring it aligns with how renderTable handles the headers. I'll make sure selectedColumns are updated correctly after the query to maintain consistency.

I need to ensure that selectedColumns aren't overwritten by the 'count' aggregate in columnValues.

I need to store selected columns independent of aggregators. I'll modify the update function.

I'll adjust the function to store all base and derived columns, even for aggregates.

I’ll implement the function to store full columns but adjust display for aggregates like count.

I’ll adjust the server to exclude 'Count' when aggregate is 'Count' and show_hits is enabled.

I’ll check the start of tests/test_server_time.py, focusing on the aggregate count.

I'll take a look at the tests in test_server_timeseries.py.

Checking out the "test_timeseries_count_no_columns" to understand the count behavior without columns.

Looks like test_count_no_columns is present for timeseries, but not for the table.

I'll explore timeseries_chart.js to see how aggregated data handles the Count column.

I think I need to adjust how selectedColumns is computed, but keep columnValues as is. I'll ensure the server sends the correct data without the Count column when show_hits is True. However, I'll also avoid showing the Count column in the table and test whether renderTable properly handles this alignment.

When selectedColumns length is less than row length, undefined values are safely handled as false.

I need to ensure the server doesn't return the Count column when show_hits is True.

I'll open the test file around line 144 to review show_hits.

I'll take another look at the tests/test_server_timeseries file, focusing on show_hits.

If show_hits is true, only add a "Hits" column for count aggregation.

For aggregates other than count, add show_hits without duplicating results. I'll adjust the server code.

I'll adjust code to handle 'count' aggregates and show hits or count accordingly.

There's no test dependent on Count or Hits, but I'll double-check the server tests to be sure.

I'll take a look at the relevant part to check things.

I’ll check the bottom of test_web_table.py to add the new test and inspect the run_query function.

I need to add a test for showing only the id and Hits columns in Table view. Let's check if run_query selects all columns correctly by default, or if I should ensure this manually. I'll also look for any run_query instances in existing tests.

I'll search for "column_actions" or similar terms related to columns.

Time to check out the contents of the tests/test_web_columns.py file.

I'm figuring out how to ensure all columns are checked after calling run_query.

I’ll replicate run_query with custom steps to check all columns after query execution.

I’ll set up a custom function to run the query with all columns selected.

I should double-check the _create_test_database function for the dataset details.

I'm double-checking if there are more rows in the database beyond the two known ones.

The table should have 2 rows of data, plus a header—totals 3 TRs.

I'll begin by looking for the relevant files or resources.

I'll check the test_web_table file around lines 228 or 250 to verify header counts.

I'm checking around line 230 to spot the pattern.

I'll base my test on checking headers with specific order and verifying table dimensions.

I’ll search to see if any tests check for cell count.

I'll search for occurrences of 'document.querySelectorAll("#results td").length' in the code.

I’ll check for page.locator("#results tr") throughout the tests to confirm the method.

I’ll implement a row count check by comparing actual rows with header and expected results.

I'm looking to see where .length) appears in the code.

I'm going to search for "length" to help with the quoting issue.

Time to check column types in the backend and activate the virtual environment first.

I'll begin making changes to server.py now!

Alright, I'll apply the modifications and proceed with the patch!

Time to make changes to the view_settings.js file!

I'll update the function to define storeSel properly and adjust selected columns logic.

The patch worked! Now, I'll add a new test in test_web_table.py at the end.

I need to verify the number of lines where changes were made.

The file has 306 lines, so now I’ll review the last section.

I’ll open lines 272 to 308 to check the context around the test.

I’m preparing to import select_value at the top of the test file.

I should check if select_value exists in tests/web_utils.py before updating the import.

I'll continue scrolling to capture the rest of this section.

I’ll import select_value and then work on implementing that new test.

I'll append the new test case at the bottom of the file.

I’ll run ruff format, ruff check, and pyright before moving forward.

Since ruff only works with Python files, I'll run it on test_web_table.py and server.py.

Pyright passed! Now it's time to run the tests and make sure everything works.

The tests completed fast, but I'll need to look at the results now.

Test failures are due to query ordering issues. After fixing those, I'll check other errors.

Three other timeseries tests failed too; let's open them and investigate.

Let's continue scrolling to review the failed tests around line 240.

I'll take a look at lines 220-260 now.

I'll check for "Count" in timeseries tests to understand what's affecting the failures.

The failure likely relates to changed server query affecting timeseries tests; check default values.

I'm reviewing the logic around selecting columns for timeseries charts, especially with aggregate counts. Adjustments are needed for handling aggregated columns when show_hits is true, as the server omits certain columns. I'll tweak updateSelectedColumns to ensure correct alignment.

I see selectedColumns for timeseries should include bucket, group_by, Hits, and value columns. I'll adjust updateSelectedColumns to correctly compute this, ensuring time and bucket columns are handled properly.

I'll go back and check lines around 198 for context.

I'm looking for where 'bucket' is inserted into selectedColumns. Let's search for it.

Hmm, I wonder if I ran 'grep bucket -r' outside of the root directory.

In timeseries, when aggregation is 'Count' and 'show_hits' is true, the 'Hits' column appears, but the bucket column is handled separately. The new timeseries logic must ensure selectedColumns replicates the old behavior. If ‘Hits’ is required, it’s added to selectedColumns after group columns, using the correct startIdx for aggregation.

The script may fail if no value columns exist—let’s check how timeseries_chart handles this.

It seems the chart breaks if no aggregated values are selected or if "Hits" is excluded. I realized we can't remove the Count column when showing Hits in timeseries, as the chart expects at least one data series.

I'll ensure the Count column stays for timeseries even with "show_hits" set to True.

To avoid errors, I should restore the original behavior where the server always returns Count for timeseries, adding Hits only if show_hits is True.

The patch ensures timeseries keeps Count, while table view omits Count if show_hits is True.

I added the patch before, now it's time to modify for table-specific logic.

I updated the server patch. No need to change updateSelectedColumns for timeseries—columns can still be included. Potential misalignment might occur if base columns are selected but not returned. Checking how timeseries_chart handles this.

I adjusted the server to output Count or Hits based on show_hits. Timeseries is safe. Fixing failed tests, especially from server patch modification or earlier test interference.

I'll format the test file and server using ruff now.

I'll run the Ruff check again to ensure everything is in order.

I'm going to run Pyright to check for type errors in the code.

I'll try running pytest again to check if the issue persists.

There might be an issue with calling select_value too late. I'll check setSelectValue.

I think the order_by option might not be set in the right sequence. Let's check!

I might have mis-specified the 'id' value. Let's check the columns loaded during the test.

I'll review tests/test_web_basics and search for 'order_by' to confirm its details.

I'll check out tests/test_web_basics to explore the available options.

I'll look for instances where "order_by id" might be used in the tests.

I don't see any tests using order_by id, so I'll check the API for column options.

I think the issue with the query could be related to order_by, so I'll check run_query parameters and try customizing it with id.

I'll trigger run_query with specific parameters, then open columns and rerun the query.

I'll review the ruff check now.

I don’t see “All checks passed!”—I’ll open the file to investigate further.

I’ll clean up the import of select_value since it’s no longer used.

I'll run pytest now to check if everything functions as expected.

I'm checking if the 'id' column exists or if it's excluded due to rowid settings.

I'm confirming if the default sample.csv or the test database is used in tests.

The TEST dataset requires 'id' for grouping, but sample.csv doesn't include that column.

It seems the test isn't using the TEST dataset, but sample.csv. I'll inspect server.py.

I see that tests use sample.csv by default. I might need to modify server_url and create a custom fixture for the "TEST" mode. I'll check tests/test_multi_table_web.py to learn their setup.

I'll check if the multi_table_server_url fixture is already in use, or if I need a new one.

I'll update the test to use multi_table_server_url as server_url. Let's patch!

An import update isn't needed right now. I'll just run ruff format again.

I'll give pytest another shot.

I can't import multi_table_server_url because it’s not globally shared. Replicating the code seems simplest.

I’ll update tests/conftest.py to add the multi_table_server_url fixture for all tests.

I'll create the multi_table_server_url fixture based on test_multi_table_web.

I’ll copy the fixture into conftest.py and import create_app to ensure reusability.

I'll define the necessary fixture for the tests.

The issue is that run_query expects a "value" column, which doesn't exist in TEST dataset.

I'll revert to the manual approach, adapting it for the TEST dataset and confirming the "id" option.

Looks like I need to reimport select_value from tests.web_utils after all.

I'll look into the ruff tool now.

I’ll try running pytest once more to check the results.

All tests passed. Time to check the git status and commit the changes.

I need to gather citations for the patch. Let's include lines 230-255 from server.py.

I’ll check out the patch lines for view_settings.js next.

I'm adding lines to the test for the new functionality in the web table.

I’ll add the necessary lines from tests/conftest to include the new fixture.

I’ll draft the PR body, highlighting changes, referencing lines, and confirming passing tests.