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function [nErrors] = makeTravisReport(status, varargin)
% Makes a readable report for Travis/Github of test results
%
% This function produces a testing report of HEADLESS tests for
% display on GitHub and Travis.
%
% MAKETRAVISREPORT(status) produces the report from the `status` output of
% `testHeadless`.
%
% MAKETRAVISREPORT(status, 'stream', FID, ...) changes the filestream to use
% to output the report to. (Default: 1 (stdout)).
%
% MAKETRAVISREPORT(status, 'length', CHAR, ...) changes the report length.
% A few values are possible that cover different aspects in less/more detail.
% - 'default': all unreliable tests, failed & skipped tests and summary
% - 'short' : only show the brief summary
% - 'long' : all tests + summary
%
% See also: testHeadless, makeLatexReport
SM = StreamMaker();
%% Parse input arguments
ipp = m2tInputParser();
ipp = ipp.addRequired(ipp, 'status', @iscell);
ipp = ipp.addParamValue(ipp, 'stream', 1, SM.isStream);
ipp = ipp.addParamValue(ipp, 'length', 'default', @isReportLength);
ipp = ipp.parse(ipp, status, varargin{:});
arg = ipp.Results;
arg.length = lower(arg.length);
stream = SM.make(arg.stream, 'w');
%% transform status data into groups
S = splitStatuses(status);
%% build report
stream.print(gfmHeader(describeEnvironment));
reportUnreliableTests(stream, arg, S);
reportReliableTests(stream, arg, S);
displayTestSummary(stream, S);
%% set output arguments if needed
if nargout >= 1
nErrors = countNumberOfErrors(S.reliable);
end
end
% == INPUT VALIDATOR FUNCTIONS =================================================
function bool = isReportLength(val)
% validates the report length
bool = ismember(lower(val), {'default','short','long'});
end
% == GITHUB-FLAVORED MARKDOWN FUNCTIONS ========================================
function str = gfmTable(data, header, alignment)
% Construct a Github-flavored Markdown table
%
% Arguments:
% - data: nRows x nCols cell array that represents the data
% - header: cell array with the (nCol) column headers
% - alignment: alignment specification per column
% * 'l': left-aligned (default)
% * 'c': centered
% * 'r': right-aligned
% When not enough entries are specified, the specification is repeated
% cyclically.
%
% Output: table as a string
%
% See https://help.github.com/articles/github-flavored-markdown/#tables
% input argument validation and normalization
nCols = size(data, 2);
if ~exist('alignment','var') || isempty(alignment)
alignment = 'l';
end
if numel(alignment) < nCols
% repeat the alignment specifications along the columns
alignment = repmat(alignment, 1, nCols);
alignment = alignment(1:nCols);
end
% calculate the required column width
cellWidth = cellfun(@length, [header(:)' ;data]);
columnWidth = max(max(cellWidth, [], 1),3); % use at least 3 places
% prepare the table format
COLSEP = '|'; ROWSEP = sprintf('\n');
rowformat = [COLSEP sprintf([' %%%ds ' COLSEP], columnWidth) ROWSEP];
alignmentRow = formatAlignment(alignment, columnWidth);
% actually print the table
fullTable = [header; alignmentRow; data];
strs = cell(size(fullTable,1), 1);
for iRow = 1:numel(strs)
thisRow = fullTable(iRow,:);
%TODO: maybe preprocess thisRow with strjust first
strs{iRow} = sprintf(rowformat, thisRow{:});
end
str = [strs{:}];
%---------------------------------------------------------------------------
function alignRow = formatAlignment(alignment, columnWidth)
% Construct a row of dashes to specify the alignment of each column
% See https://help.github.com/articles/github-flavored-markdown/#tables
DASH = '-'; COLON = ':';
N = numel(columnWidth);
alignRow = arrayfun(@(w) repmat(DASH, 1, w), columnWidth, ...
'UniformOutput', false);
for iColumn = 1:N
thisAlign = alignment(iColumn);
thisSpec = alignRow{iColumn};
switch lower(thisAlign)
case 'l'
thisSpec(1) = COLON;
case 'r'
thisSpec(end) = COLON;
case 'c'
thisSpec([1 end]) = COLON;
otherwise
error('gfmTable:BadAlignment','Unknown alignment "%s"',...
thisAlign);
end
alignRow{iColumn} = thisSpec;
end
end
end
function str = gfmCode(str, inline, language)
% Construct a GFM code fragment
%
% Arguments:
% - str: code to be displayed
% - inline: - true -> formats inline
% - false -> formats as code block
% - [] -> automatic mode (default): picks one of the above
% - language: which language the code is (enforces a code block)
%
% Output: GFM formatted string
%
% See https://help.github.com/articles/github-flavored-markdown
if ~exist('inline','var')
inline = [];
end
if ~exist('language','var') || isempty(language)
language = '';
else
inline = false; % highlighting is not supported for inline code
end
if isempty(inline)
inline = isempty(strfind(str, sprintf('\n')));
end
if inline
prefix = '`';
postfix = '`';
else
prefix = sprintf('\n```%s\n', language);
postfix = sprintf('\n```\n');
if str(end) == sprintf('\n')
postfix = postfix(2:end); % remove extra endline
end
end
str = sprintf('%s%s%s', prefix, str, postfix);
end
function str = gfmHeader(str, level)
% Constructs a GFM/Markdown header
if ~exist('level','var')
level = 1;
end
str = sprintf('\n%s %s\n', repmat('#', 1, level), str);
end
function symbols = githubEmoji()
% defines the emojis to signal the test result
symbols = struct('pass', ':white_check_mark:', ...
'fail', ':heavy_exclamation_mark:', ...
'skip', ':grey_question:');
end
% ==============================================================================
function S = splitStatuses(status)
% splits a cell array of statuses into a struct of cell arrays
% of statuses according to their value of "skip", "reliable" and whether
% an error has occured.
% See also: splitUnreliableTests, splitPassFailSkippedTests
S = struct('all', {status}); % beware of cell array assignment to structs!
[S.reliable, S.unreliable] = splitUnreliableTests(status);
[S.passR, S.failR, S.skipR] = splitPassFailSkippedTests(S.reliable);
[S.passU, S.failU, S.skipU] = splitPassFailSkippedTests(S.unreliable);
end
% ==============================================================================
function [short, long] = describeEnvironment()
% describes the environment in a short and long format
[env, ver] = getEnvironment;
[dummy, VCID] = VersionControlIdentifier(); %#ok
if ~isempty(VCID)
VCID = [' commit ' VCID(1:10)];
end
OS = OSVersion;
short = sprintf('%s %s (%s)', env, ver, OS, VCID);
long = sprintf('Test results for m2t%s running with %s %s on %s.', ...
VCID, env, ver, OS);
end
% ==============================================================================
function reportUnreliableTests(stream, arg, S)
% report on the unreliable tests
if ~isempty(S.unreliable) && ~strcmpi(arg.length, 'short')
stream.print(gfmHeader('Unreliable tests',2));
stream.print('These do not cause the build to fail.\n\n');
displayTestResults(stream, S.unreliable);
end
end
function reportReliableTests(stream, arg, S)
% report on the reliable tests
switch arg.length
case 'long'
tests = S.reliable;
message = '';
case 'default'
tests = [S.failR; S.skipR];
message = 'Passing tests are not shown (only failed and skipped tests).\n\n';
case 'short'
return; % don't show this part
end
stream.print(gfmHeader('Reliable tests',2));
stream.print('Only the reliable tests determine the build outcome.\n');
stream.print(message);
displayTestResults(stream, tests);
end
% ==============================================================================
function displayTestResults(stream, status)
% display a table of specific test outcomes
headers = {'Testcase', 'Name', 'OK', 'Status'};
data = cell(numel(status), numel(headers));
symbols = githubEmoji;
for iTest = 1:numel(status)
data(iTest,:) = fillTestResultRow(status{iTest}, symbols);
end
str = gfmTable(data, headers, 'llcl');
stream.print('%s', str);
end
function row = fillTestResultRow(oneStatus, symbol)
% format the status of a single test for the summary table
testNumber = oneStatus.index;
testSuite = func2str(oneStatus.testsuite);
summary = '';
if oneStatus.skip
summary = 'SKIPPED';
passOrFail = symbol.skip;
else
stages = getStagesFromStatus(oneStatus);
for jStage = 1:numel(stages)
thisStage = oneStatus.(stages{jStage});
if ~thisStage.error
continue;
end
stageName = strrep(stages{jStage},'Stage','');
switch stageName
case 'plot'
summary = sprintf('%s plot failed', summary);
case 'tikz'
summary = sprintf('%s m2t failed', summary);
case 'hash'
summary = sprintf('new hash %32s != expected (%32s) %s', ...
thisStage.found, thisStage.expected, summary);
otherwise
summary = sprintf('%s %s FAILED', summary, thisStage);
end
end
if isempty(summary)
passOrFail = symbol.pass;
else
passOrFail = symbol.fail;
end
summary = strtrim(summary);
end
row = { gfmCode(sprintf('%s(%d)', testSuite, testNumber)), ...
gfmCode(oneStatus.function), ...
passOrFail, ...
summary};
end
% ==============================================================================
function displayTestSummary(stream, S)
% display a table of # of failed/passed/skipped tests vs (un)reliable
% compute number of cases per category
reliableSummary = cellfun(@numel, {S.passR, S.failR, S.skipR});
unreliableSummary = cellfun(@numel, {S.passU, S.failU, S.skipU});
% make summary table + calculate totals
summary = [unreliableSummary numel(S.unreliable);
reliableSummary numel(S.reliable);
reliableSummary+unreliableSummary numel(S.all)];
% put results into cell array with proper layout
summary = arrayfun(@(v) sprintf('%d',v), summary, 'UniformOutput', false);
table = repmat({''}, 3, 5);
header = {'','Pass','Fail','Skip','Total'};
table(:,1) = {'Unreliable','Reliable','Total'};
table(:,2:end) = summary;
% print table
[envShort, envDescription] = describeEnvironment(); %#ok
stream.print(gfmHeader('Test summary', 2));
stream.print('%s\n', envDescription);
stream.print('%s\n', gfmCode(generateCode(S),false,'matlab'));
stream.print(gfmTable(table, header, 'lrrrr'));
% print overall outcome
symbol = githubEmoji;
nErrors = numel(S.failR);
if nErrors == 0
stream.print('\nBuild passes. %s\n', symbol.pass);
else
stream.print('\nBuild fails with %d errors. %s\n', nErrors, symbol.fail);
end
end
function code = generateCode(S)
% generates some MATLAB code to easily replicate the results
code = sprintf('%s = %s;\n', ...
'suite', ['@' func2str(S.all{1}.testsuite)], ...
'alltests', testNumbers(S.all), ...
'reliable', testNumbers(S.reliable), ...
'unreliable', testNumbers(S.unreliable), ...
'failReliable', testNumbers(S.failR), ...
'passUnreliable', testNumbers(S.passU), ...
'skipped', testNumbers([S.skipR; S.skipU]));
% --------------------------------------------------------------------------
function str = testNumbers(status)
str = intelligentVector( cellfun(@(s) s.index, status) );
end
end
function str = intelligentVector(numbers)
% Produce a string that is an intelligent vector notation of its arguments
% e.g. when numbers = [ 1 2 3 4 6 7 8 9 ], it should return '[ 1:4 6:9 ]'
% The order in the vector is not retained!
if isempty(numbers)
str = '[]';
else
numbers = sort(numbers(:).');
delta = diff([numbers(1)-1 numbers]);
% place virtual bounds at the first element and beyond the last one
bounds = [1 find(delta~=1) numel(numbers)+1];
idx = 1:(numel(bounds)-1); % start index of each segment
start = numbers(bounds(idx ) );
stop = numbers(bounds(idx+1)-1);
parts = arrayfun(@formatRange, start, stop, 'UniformOutput', false);
str = sprintf('[%s]', strtrim(sprintf('%s ', parts{:})));
end
end
function str = formatRange(start, stop)
% format a range [start:stop] of integers in MATLAB syntax
if start==stop
str = sprintf('%d',start);
else
str = sprintf('%d:%d',start, stop);
end
end
% ==============================================================================
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