TicketQuery Wiki Macro

The TicketQuery macro lets you display ticket information anywhere that accepts WikiFormatting. The query language used by the [[TicketQuery]] macro is described in the TracQuery page.

Usage

[[TicketQuery]]

Wiki macro listing tickets that match certain criteria.

This macro accepts a comma-separated list of keyed parameters, in the form "key=value".

If the key is the name of a field, the value must use the syntax of a filter specifier as defined in TracQuery#QueryLanguage. Note that this is not the same as the simplified URL syntax used for query: links starting with a ? character. Commas (,) can be included in field values by escaping them with a backslash (\).

Groups of field constraints to be OR-ed together can be separated by a literal or argument.

In addition to filters, several other named parameters can be used to control how the results are presented. All of them are optional.

The format parameter determines how the list of tickets is presented:

  • list -- the default presentation is to list the ticket ID next to the summary, with each ticket on a separate line.
  • compact -- the tickets are presented as a comma-separated list of ticket IDs.
  • count -- only the count of matching tickets is displayed
  • rawcount -- only the count of matching tickets is displayed, not even with a link to the corresponding query (since 1.1.1)
  • table -- a view similar to the custom query view (but without the controls)
  • progress -- a view similar to the milestone progress bars

The max parameter can be used to limit the number of tickets shown (defaults to 0, i.e. no maximum).

The order parameter sets the field used for ordering tickets (defaults to id).

The desc parameter indicates whether the order of the tickets should be reversed (defaults to false).

The group parameter sets the field used for grouping tickets (defaults to not being set).

The groupdesc parameter indicates whether the natural display order of the groups should be reversed (defaults to false).

The verbose parameter can be set to a true value in order to get the description for the listed tickets. For table format only. deprecated in favor of the rows parameter

The rows parameter can be used to specify which field(s) should be viewed as a row, e.g. rows=description|summary

The col parameter can be used to specify which fields should be viewed as columns. For table format only.

For compatibility with Trac 0.10, if there's a last positional parameter given to the macro, it will be used to specify the format. Also, using "&" as a field separator still works (except for order) but is deprecated.

Examples

Example Result Macro
Number of Triage tickets: 476 [[TicketQuery(status=new&milestone=,count)]]
Number of new tickets: 476 [[TicketQuery(status=new,count)]]
Number of reopened tickets: 0 [[TicketQuery(status=reopened,count)]]
Number of assigned tickets: 575 [[TicketQuery(status=assigned,count)]]
Number of invalid tickets: 5314 [[TicketQuery(status=closed,resolution=invalid,count)]]
Number of worksforme tickets: 1090 [[TicketQuery(status=closed,resolution=worksforme,count)]]
Number of duplicate tickets: 4434 [[TicketQuery(status=closed,resolution=duplicate,count)]]
Number of wontfix tickets: 4262 [[TicketQuery(status=closed,resolution=wontfix,count)]]
Number of fixed tickets: 19254 [[TicketQuery(status=closed,resolution=fixed,count)]]
Number of untriaged tickets (milestone unset): 1051 [[TicketQuery(status!=closed,milestone=,count)]]
Total number of tickets: 36430 [[TicketQuery(count)]]
Number of tickets reported or owned by current user: 1488 [[TicketQuery(reporter=$USER,or,owner=$USER,count)]]
Number of tickets created this month: 20 [[TicketQuery(created=thismonth..,count)]]
Number of closed Firefox tickets: 8 [[TicketQuery(status=closed,keywords~=firefox,count)]]
Number of closed Opera tickets: 26 [[TicketQuery(status=closed,keywords~=opera,count)]]
Number of closed tickets affecting Firefox and Opera: 0 [[TicketQuery(status=closed,keywords~=firefox opera,count)]]
Number of closed tickets affecting Firefox or Opera: 34 [[TicketQuery(status=closed,keywords~=firefox|opera,count)]]
Number of tickets that affect Firefox or are closed and affect Opera: 34 [[TicketQuery(status=closed,keywords~=opera,or,keywords~=firefox,count)]]
Number of closed Firefox tickets that don't affect Opera: 0 [[TicketQuery(status=closed,keywords~=firefox -opera,count)]]
Last 3 modified tickets: #37217, #37212, #33091 [[TicketQuery(max=3,order=modified,desc=1,compact)]]

Details of ticket #1:

[[TicketQuery(id=1,col=id|owner|reporter,rows=summary,table)]]

Ticket Owner Reporter
#1 Jacob Adrian Holovaty
Summary Create architecture for anonymous sessions

Format: list

[[TicketQuery(version=0.6|0.7&resolution=duplicate)]]

This is displayed as:

No results

[[TicketQuery(id=123)]]

This is displayed as:

#123
Typo in the model_api/#field-types

Format: compact

[[TicketQuery(version=0.6|0.7&resolution=duplicate, compact)]]

This is displayed as:

No results

Format: count

[[TicketQuery(version=0.6|0.7&resolution=duplicate, count)]]

This is displayed as:

0

Format: progress

[[TicketQuery(milestone=0.12.8&group=type,format=progress)]]

This is displayed as:

Uncategorized

2046 / 2046

Bug

10634 / 10982

New feature

3893 / 4278

Cleanup/optimization

5592 / 5909

Format: table

You can choose the columns displayed in the table format (format=table) using col=<field>. You can specify multiple fields and the order they are displayed in by placing pipes (|) between the columns:

[[TicketQuery(max=3,status=closed,order=id,desc=1,format=table,col=resolution|summary|owner|reporter)]]

This is displayed as:

Full rows

In table format you can specify full rows using rows=<field>:

[[TicketQuery(max=3,status=closed,order=id,desc=1,format=table,col=resolution|summary|owner|reporter,rows=description)]]

This is displayed as:

Results (1 - 3 of 35379)

1 2 3 4 5 6 7 8 9 10 11
Ticket Resolution Summary Owner Reporter
#37214 needsinfo Performance regression with end to end migrations on v5.x William Yardley
Description

We've recently updated from Django 4.2 to 5.2. We have a nightly job that runs all our migrations end to end. Even after squashing _all_ our migrations (basically declaring migration bankruptcy fully) recently, there are ~ 800 migrations across ~ 95 apps.

The nightly run doubled in time from 45m to 90m just from this update. Profiling a from-scratch migration shows about 93% of the time in ProjectState rendering and almost none in cursor.execute.

Some quick Claude analysis (so the usual caveats apply) suggests this could relate to changes with caching of swappable-settings lookups, and _possibly_ also how field choices get normalized?

I know there have been some (long) past discussions mentioning that Django isn't trying to optimize this path too much. But to me, it does seem like a pretty significant regression for this to take twice as long.

Happy to provide other details if it's helpful; unfortunately, providing a full clean reproduction may be difficult, since this is happening in a fairly large internal codebase.

Possibly related: #34687 and #28033

#37210 fixed Failed deletes in cached_db session backend should log, just like failed writes Vismay Jacob Walls
Description

The Security Team closed a report about the cached_db session backend, but in so doing, we noticed that we recently documented logging any such exceptions for failed writes.

We should handle failed deletes as well, see #34806, which only touched save(), not delete(). (Starting off as "bug" since the docs imply no save-versus-delete distinction, to my ear.)

Thanks LocalHost for the informative report.

#37209 wontfix `UserAttributeSimilarityValidator` uses unordered string comparison Terence Honles Terence Honles
Description

UserAttributeSimilarityValidator only uses the SequenceMatcher.quick_ratio method (which uses an unordered comparison of two strings and is only intended to be used as an upper bound)

This causes what I would consider "false positives" for strings that are not actually similar (any anagram will produce a ratio of 1 (exactly equal)).

I discovered this because we had a flaky test in our CI (with a user having attributes generated using Faker) and I finally spent some time to investigate the flaky test. The two strings (lowercased) were "andrews" and "new-password", which lead me to wonder how those could be considered 70% similar.

I have added a test with the anagrams: "enumerations" & "mountaineers"

1 2 3 4 5 6 7 8 9 10 11


See also: TracQuery, TracTickets, TracReports

Last modified 2 years ago Last modified on Jan 24, 2024, 9:58:09 AM
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