wiki:TracQuery

Version 2 (modified by trac, 5 weeks ago) (diff)

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Trac Ticket Queries

In addition to reports, Trac provides support for custom ticket queries, which can be used to display tickets that meet specified criteria.

To configure and execute a custom query, switch to the View Tickets module from the navigation bar, and select the Custom Query link.

Filters

When you first go to the query page, the default filter will display tickets relevant to you:

  • If logged in then all open tickets, it will display open tickets assigned to you.
  • If not logged in but you have specified a name or email address in the preferences, then it will display all open tickets where your email (or name if email not defined) is in the CC list.
  • If not logged in and no name/email is defined in the preferences, then all open issues are displayed.

Current filters can be removed by clicking the button to the left with the minus sign on the label. New filters are added from the pulldown lists at the bottom corners of the filters box; 'And' conditions on the left, 'Or' conditions on the right. Filters with either a text box or a pulldown menu of options can be added multiple times to perform an Or on the criteria.

You can use the fields just below the filters box to group the results based on a field, or display the full description for each ticket.

After you have edited your filters, click the Update button to refresh your results.

Some shortcuts can be used to manipulate checkbox filters.

  • Clicking on a filter row label toggles all checkboxes.
  • Pressing the modifier key while clicking on a filter row label inverts the state of all checkboxes.
  • Pressing the modifier key while clicking on a checkbox selects the checkbox and deselects all other checkboxes in the filter.

The modifier key is platform and browser dependent. On Mac the modified key is Option/Alt or Command. On Linux the modifier key is Ctrl + Alt. Opera on Windows seems to use Ctrl + Alt, while Alt is effective for other Windows browsers.

Clicking on one of the query results will take you to that ticket. You can navigate through the results by clicking the Next Ticket or Previous Ticket links just below the main menu bar, or click the Back to Query link to return to the query page.

You can safely edit any of the tickets and continue to navigate through the results using the Next/Previous/Back to Query links after saving your results. When you return to the query any tickets which were edited will be displayed with italicized text. If one of the tickets was edited such that it no longer matches the query criteria , the text will also be greyed. Lastly, if a new ticket matching the query criteria has been created, it will be shown in bold.

The query results can be refreshed and cleared of these status indicators by clicking the Update button again.

Saving Queries

Trac allows you to save the query as a named query accessible from the reports module. To save a query ensure that you have Updated the view and then click the Save query button displayed beneath the results. You can also save references to queries in Wiki content, as described below.

Note: one way to easily build queries like the ones below, you can build and test the queries in the Custom report module and when ready - click Save query. This will build the query string for you. All you need to do is remove the extra line breaks.

Note: you must have the REPORT_CREATE permission in order to save queries to the list of default reports. The Save query button will only appear if you are logged in as a user that has been granted this permission. If your account does not have permission to create reports, you can still use the methods below to save a query.

You may want to save some queries so that you can come back to them later. You can do this by making a link to the query from any Wiki page.

[query:status=new|assigned|reopened&version=1.0 Active tickets against 1.0]

Which is displayed as:

Active tickets against 1.0

This uses a very simple query language to specify the criteria, see Query Language.

Alternatively, you can copy the query string of a query and paste that into the Wiki link, including the leading ? character:

[query:?status=new&status=assigned&status=reopened&group=owner Assigned tickets by owner]

Which is displayed as:

Assigned tickets by owner

Customizing the table format

You can also customize the columns displayed in the table format (format=table) by using col=<field>. You can specify multiple fields and what 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:

Results (1 - 3 of 329)

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Ticket Resolution Summary Owner Reporter
#375 fixed dem2pts change very slow ole martins
#373 fixed Parallel Inlet Operator enchancment steve martins
#371 fixed pypar_extras not compiling, so anuga_parallel/test_all.py failing. ole gray
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Full rows

In table format you can also have full rows by 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 329)

1 2 3 4 5 6 7 8 9 10 11
Ticket Resolution Summary Owner Reporter
#375 fixed dem2pts change very slow ole martins
Description

In dem2pts there is a change to an iterative process which takes an order of magnitude longer to complete, starting from line 241:

if upper_index == lower_index + newcols:

# Seems to be an error with the windows version of # Netcdf. The following gave errors #points[lower_index:upper_index, :] = tpoints #elevation[lower_index:upper_index] = telev # so used the following for index in range(newcols):

points[index+lower_index, :] = tpoints[index,:] elevation[index+lower_index] = telev[index]

Not sure what the netcdf problem is but maybe this is not the way to deal with it?

#373 fixed Parallel Inlet Operator enchancment steve martins
Description

When using the Inlet_operator for parallel Anuga e.g.

from anuga_parallel.parallel_operator_factory import Inlet_operator

to simulate an input hydrograph it would be handy to be able to input the water on only one side (preferably downhill) of the line that function takes as input.

Presently the water is injected into the triangle intersected by the line. Maybe enforce break lines along the input line then sent the input hydrograph to the side with lower elevation or something along those lines?

#371 fixed pypar_extras not compiling, so anuga_parallel/test_all.py failing. ole gray
Description

Here are the results from compile_all.py;

-----------------------------------------------
Attempting to compile pypar_extras
-----------------------------------------------
python anuga_setup.py
/nas/mnh/georisk_models/inundation/sandpits/dgray/anuga/anuga_core/source/anuga_parallel
python setup.py install --install-purelib=/nas/mnh/georisk_models/inundation/sandpits/dgray/anuga/anuga_core/source/anuga_parallel --install-platlib=/nas/mnh/georisk_models/inundation/sandpits/dgray/anuga/anuga_core/source/anuga_parallel 
running mpicc -show
/bin/sh: mpicc: command not found
running mpicc -compile_info -link_info
/bin/sh: mpicc: command not found
running mpicc -show;mpicc -echo -c /tmp/tmpMo1Cc6.c -o /tmp/tmpMo1Cc6.o
/bin/sh: mpicc: command not found
/bin/sh: mpicc: command not found

running install
running build
running build_py
copying compile.py -> build/lib.linux-x86_64-2.7/pypar_extras
copying test_pypar_ext.py -> build/lib.linux-x86_64-2.7/pypar_extras
copying anuga_setup.py -> build/lib.linux-x86_64-2.7/pypar_extras
copying pypar_ext.py -> build/lib.linux-x86_64-2.7/pypar_extras
copying __metadata__.py -> build/lib.linux-x86_64-2.7/pypar_extras
copying __init__.py -> build/lib.linux-x86_64-2.7/pypar_extras
running build_ext
building 'pypar_extras.mpiextras' extension
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/usr/local/python-2.7.2/lib/python2.7/site-packages/numpy/core/include -I/usr/local/python-2.7.2/include/python2.7 -c mpiextras.c -o build/temp.linux-x86_64-2.7/mpiextras.o -fPIC
mpiextras.c:31:17: error: mpi.h: No such file or directory
mpiextras.c:81: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘type_map’
mpiextras.c:139: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘op_map’
mpiextras.c: In function ‘isend_array’:
.
.
.
mpiextras.c:676: error: ‘MPI_ANY_SOURCE’ undeclared (first use in this function)
error: command 'gcc' failed with exit status 1
Compiled pypar_extras succesfully.

These gives rise to these errors in anuga_parallel/test_all.py;

  File "/nas/mnh/georisk_models/inundation/sandpits/dgray/anuga/anuga_core/source/anuga_parallel/parallel_generic_communications.py", line 178, in communicate_ghosts_asynchronous
    from anuga_parallel.pypar_extras import mpiextras
ImportError: cannot import name mpiextras

Problem seems to be mpicc is not on rhe-compute1.

I agree with Ole, mpicc doesn't seem to be on your machine. Indeed is mpirun available?

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Query Language

query: TracLinks and the [[TicketQuery]] macro both use a mini “query language” for specifying query filters. Filters are separated by ampersands (&). Each filter consists of the ticket field name, an operator and one or more values. More than one value are separated by a pipe (|), meaning that the filter matches any of the values. To include a literal & or | in a value, escape the character with a backslash (\).

The available operators are:

= the field content exactly matches one of the values
~= the field content contains one or more of the values
^= the field content starts with one of the values
$= the field content ends with one of the values

All of these operators can also be negated:

!= the field content matches none of the values
!~= the field content does not contain any of the values
!^= the field content does not start with any of the values
!$= the field content does not end with any of the values

The date fields created and modified can be constrained by using the = operator and specifying a value containing two dates separated by two dots (..). Either end of the date range can be left empty, meaning that the corresponding end of the range is open. The date parser understands a few natural date specifications like "3 weeks ago", "last month" and "now", as well as Bugzilla-style date specifications like "1d", "2w", "3m" or "4y" for 1 day, 2 weeks, 3 months and 4 years, respectively. Spaces in date specifications can be omitted to avoid having to quote the query string.

created=2007-01-01..2008-01-01 query tickets created in 2007
created=lastmonth..thismonth query tickets created during the previous month
modified=1weekago.. query tickets that have been modified in the last week
modified=..30daysago query tickets that have been inactive for the last 30 days

See also: TracTickets, TracReports, TracGuide, TicketQuery