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