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How to use mark_interactive method in Slash

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HDFSSelectableResultsTable.py

Source:HDFSSelectableResultsTable.py

1#2# Splunk UI module python renderer3# This module is imported by the module loader (lib.module.ModuleMapper) into4# the splunk.appserver.mrsparkle.controllers.module.* namespace.5#6# required imports7import cherrypy8import controllers.module as module9# common imports10import splunk, splunk.search, splunk.util, splunk.entity11import lib.util as util12import lib.i18n as i18n13# logging setup14import logging15logger = logging.getLogger('splunk.appserver.controllers.module.SimpleResultsTable')16import math17import cgi18import decimal19# define standard time field name20TIME_FIELD = '_time'21RAW_FIELD = '_raw'22# define wrapper for rendering multi-value fields23MULTI_VALUE_WRAPPER = '<div class="mv">%s</div>'24# define hard limit for displaying multi-value fields25MAX_MULTI_VALUE_COUNT = 5026MAX_SPARKLINE_MV_COUNT = 10127class HDFSSelectableResultsTable(module.ModuleHandler):28    '''29    Provides module content for the SimpleResultsTable.  The arguments supported30    are any params supported by the /splunk/search/jobs/<sid>/results endpoint, i.e.,31    count32    offset33    field_list34    search35    '''36    def generateResults(self, host_app, client_app, sid, count=1000,37            earliest_time=None, latest_time=None, field_list=None,38            offset=0, max_lines=None, reverse_order=0, entity_name='results',39            postprocess=None, display_row_numbers='True', show_preview='0', mark_interactive=None,40            sortField=None, sortDir=None, selectLabel = "Show", selectField = None):41        # check inputs42        count = max(int(count), 0)43        offset = max(int(offset), 0)44        display_row_numbers = splunk.util.normalizeBoolean(display_row_numbers)45        if not sid:46            raise Exception('SimpleResultsTable.generateResults - sid not passed!')47        job = splunk.search.JobLite(sid)48        # pass in any field list49        if (field_list) :50            job.setFetchOption(fieldList=field_list, show_empty_fields=False)51        if postprocess:52            job.setFetchOption(search=postprocess)53        if splunk.util.normalizeBoolean(show_preview) and entity_name == 'results':54            entity_name = 'results_preview'55        # set formatting56        job.setFetchOption(57            time_format=cherrypy.config.get('DISPATCH_TIME_FORMAT'),58            earliestTime=earliest_time,59            latestTime=latest_time,60            output_time_format=i18n.ISO8609_MICROTIME61        )62        # build output63        shash = hash(sid)64        output = []65        output.append('<div class="simpleResultsTableWrapper">')66        output.append('<table class="simpleResultsTable splTable')67        if (mark_interactive) :68            output.append(' enableMouseover')69        output.append('">')70        offset_start = offset71        # these two lines are a noop, since offset=max(0,int(offset)!72        #if offset < 0 and count < abs(offset):73        #    offset_start = -count74        rs = job.getResults(entity_name, offset, count)75        if rs == None:76            return _('<p class="resultStatusMessage">The job appears to have expired or has been canceled. Splunk could not retrieve data for this search.</p>')77        # displayable fields; explicitly pull the _time field into the first column and _raw into the last78        fieldNames = [x for x in rs.fieldOrder() if (not x.startswith('_') or x in (TIME_FIELD, RAW_FIELD) )]79        #fieldNames = [x for x in getattr(job, entity_name).fieldOrder if (not x.startswith('_') or x == TIME_FIELD)]80        try:81            timePos = fieldNames.index(TIME_FIELD)82            fieldNames.pop(timePos)83            fieldNames.insert(0, TIME_FIELD)84        except ValueError:85            pass86        try:87            rawPos = fieldNames.index(RAW_FIELD)88            fieldNames.pop(rawPos)89            fieldNames.append(RAW_FIELD)90        except ValueError:91            pass92        #dataset = getattr(job, entity_name)[offset_start: offset+count]93        dataset = rs.results()94        # the client will request reverse_order=1, when it has determined95        # that we're in the special case of the 'mostly-backwards' sort order of real time search.96        # (we reverse it manually so it appears to the user 'mostly correct'.)97        # (yes, for the pedantic, correct just means "consistent with historical searches, with latest events on page 1")98        #99        # NOTE: the arithmetic of the offset and count with respect to eventAvailableCounts, will100        # already have been done on the client.  This literally just reverses the sort order of101        # the N events we're actually being asked to return.102        if (splunk.util.normalizeBoolean(reverse_order)) :103            dataset.reverse()104        # determine the relative values for heatmapping105        localMin = 0106        localMax = 0107        adjustedMaxDelta = 0108        ordered = []109        for row in dataset:110            if 'TOTAL' not in row.values():111                for fieldName in fieldNames:112                    if fieldName != 'TOTAL':113                        try:114                            ordered.append(float(row[fieldName][0].value))115                        except:116                            pass117        ordered.sort()118        if len(ordered):119            localMin = ordered[0]120            localMax = ordered[-1]121            # bracket min/max to 95th percentile122            adjustedMin, adjustedMax = util.getPercentiles(ordered, .05, .95)123            adjustedMaxDelta = max(abs(adjustedMin), abs(adjustedMax))124            logger.debug('SimpleResultsTable - localMin=%s localMax=%s adjustedMin=%s adjustedMax=%s' % (localMin, localMax, adjustedMin, adjustedMax))125        # generate headers126        output.append('<thead><tr>')127        if display_row_numbers:128            output.append('<th class="pos"></th>')129        output.append('<th class="selectable"> %s </th>' % cgi.escape(selectLabel))130        for field in fieldNames:131            output.append('<th><span class="">%s</span> <span class=""></span></th>' % (cgi.escape(field)))132        output.append('</tr></thead><tbody>')133        # generate data134        for i, result in enumerate(dataset):135            # check for the TOTAL row (not column)136            omitFromHeatmap = False137            for val in result.values():138                for item in val:139                    try:140                        if 'TOTAL' in item.getValue():141                            omitFromHeatmap = True142                            break143                    except:144                        pass145            rowClass = []146            if i % 5 == 4: rowClass.append('s')147            output.append('<tr class="%s">' % (' '.join(rowClass)))148            if display_row_numbers:149                output.append('<td class="pos">%s</td>' % i18n.format_number(i+1+offset))150            selectableValue = result.get(selectField,[None])[0].value151            output.append('<td class="selectable selectable-value"><input data-selectable-value="%s" type="checkbox" checked="checked" /></td>' % cgi.escape(selectableValue).replace('"','&quot;'))152            for field in fieldNames:153                output.append('<td')154                heatValue = None155                isMaxValue = False156                isMinValue = False157                if not omitFromHeatmap and field != 'TOTAL':158                    v = result.get(field, None)159                    try:160                        v = float(v[0].value)161                        heatValue = min(max(math.ceil(v / adjustedMaxDelta * 1000) / 1000, -1), 1)162                        if v == localMax: isMaxValue = True163                        if v == localMin: isMinValue = True164                    except:165                        pass166                if heatValue != None:167                    output.append(' heat="%s"' % heatValue)168                if isMaxValue:169                    output.append(' isMax="1"')170                if isMinValue:171                    output.append(' isMin="1"')172                if (mark_interactive and (field!="NULL" and field!="OTHER")) :173                    output.append(' class="d"')174                fieldValues = result.get(field, None)175                # _time is a special case, because:176                #  a) we need to localize the formatting.177                #  b) for drilldown logic we need to pass down epochtime values for178                #     both start and end. These are passed as attributes.179                if field=='_time' and result.time:180                    startTime = splunk.util.dt2epoch(splunk.util.parseISO(str(result.time)))181                    output.append(' startTime="' + str(startTime) + '"')182                    duration = fieldValues = result.get("_span", None)183                    if (duration and duration[0].value != "") :184                        endTime   = startTime + decimal.Decimal(duration[0].value)185                        output.append(' endTime="'   + str(endTime) + '"')186                    output.append('>%s</td>' % i18n.format_datetime_microseconds(result.time))187                elif field==RAW_FIELD and isinstance(fieldValues, splunk.search.RawEvent):188                    output.append(' field="%s">' % cgi.escape(field))189                    output.append(cgi.escape(fieldValues.getRaw()));190                    output.append('</td>')191                # render field values; multi-value as a list192                # cap display count to prevent blowout193                elif fieldValues:194                    output.append(' field="%s">' % cgi.escape(field))195                    if len(fieldValues) > 1 and fieldValues[0].value == "##__SPARKLINE__##":196                        isSparklines = True197                        fieldValues = fieldValues[1:]198                    else:199                        isSparklines = False200                    output.append('<span%s>' % ' class="sparklines"' if isSparklines else '')201                    if isSparklines:202                        renderedValues = [cgi.escape(x.value) for x in fieldValues[:MAX_SPARKLINE_MV_COUNT]]203                    else:204                        renderedValues = [cgi.escape(x.value) for x in fieldValues[:MAX_MULTI_VALUE_COUNT]]205                    if not isSparklines and len(fieldValues) > MAX_MULTI_VALUE_COUNT:206                        clipCount = len(fieldValues) - MAX_MULTI_VALUE_COUNT207                        renderedValues.append(_('[and %d more values]') % clipCount)208                    # when we have multiValued fields we wrap them each in its own div elements209                    if (len(renderedValues) > 1 or isSparklines):210                        multiValueStr = [MULTI_VALUE_WRAPPER % x for x in renderedValues]211                        output.append("".join(multiValueStr))212                    # however for single values the extra div is unwanted.213                    else:214                        output.append("".join(renderedValues))215                    output.append('</span></td>')216                else:217                    output.append('></td>')218            output.append('</tr>')219        output.append('</tbody><tfoot><tr class="selection-toggle-row">')220        if display_row_numbers:221            output.append('<td class="pos"></th>')222        output.append('<td colspan="%d" class="toggle-all"><a class="select-all" href="#">All</a> / <a class="select-none" href="#">None</a></th>' % (len(fieldNames)+1))223        output.append('</tr></tfoot>')224        output.append('</table></div>')225        if len(dataset) == 0:226            # See SPL-55554 and SPL-55567, the results preview sometimes doesn't report a preview of the results227            # so assume that entity_name == 'results_preview' means we are doing a preview228            if rs.isPreview() or entity_name == 'results_preview':229                output = self.generateStatusMessage(entity_name, 'waiting', sid)230            else:231                output = self.generateStatusMessage(entity_name, 'nodata', sid)232        else:233            output = ''.join(output)...

HDFSSimpleFileTable.py

Source:HDFSSimpleFileTable.py

1#2# Splunk UI module python renderer3# This module is imported by the module loader (lib.module.ModuleMapper) into4# the splunk.appserver.mrsparkle.controllers.module.* namespace.5#6# required imports7import cherrypy8import controllers.module as module9# common imports10import splunk, splunk.search, splunk.util, splunk.entity11import lib.util as util12import lib.i18n as i18n13# logging setup14import logging15logger = logging.getLogger('splunk.appserver.controllers.module.HDFSSimpleFileTable')16import math17import cgi18import re19# define standard time field name20TIME_FIELD = '_time'21RAW_FIELD = '_raw'22# define wrapper for rendering multi-value fields23MULTI_VALUE_WRAPPER = '<div class="mv">%s</div>'24# define hard limit for displaying multi-value fields25MAX_MULTI_VALUE_COUNT = 5026MAX_SPARKLINE_MV_COUNT = 10127class HDFSSimpleFileTable(module.ModuleHandler):28    '''29    Provides module content for the SimpleResultsTable.  The arguments supported30    are any params supported by the /splunk/search/jobs/<sid>/results endpoint, i.e.,31    count32    offset33    field_list34    search35    '''36    def generateResults(self, host_app, client_app, sid, count=1000,37            earliest_time=None, latest_time=None, field_list=None,38            offset=0, max_lines=None, reverse_order=0, entity_name='results',39            postprocess=None, display_row_numbers='True', show_preview='0', mark_interactive=None,40            sortField=None, sortDir=None):41        # check inputs42        count = max(int(count), 0)43        offset = max(int(offset), 0)44        display_row_numbers = splunk.util.normalizeBoolean(display_row_numbers)45        if not sid:46            raise Exception('SimpleResultsTable.generateResults - sid not passed!')47        job = splunk.search.JobLite(sid)48        # pass in any field list49        if (field_list) :50            job.setFetchOption(fieldList=field_list, show_empty_fields=False)51        if postprocess:52            job.setFetchOption(search=postprocess)53        if splunk.util.normalizeBoolean(show_preview) and entity_name == 'results':54            entity_name = 'results_preview'55        # set formatting56        job.setFetchOption(57            time_format=cherrypy.config.get('DISPATCH_TIME_FORMAT'),58            earliestTime=earliest_time,59            latestTime=latest_time,60            output_time_format=i18n.ISO8609_MICROTIME61        )62        offset_start = offset63        # these two lines are a noop, since offset=max(0,int(offset)!64        #if offset < 0 and count < abs(offset):65        #    offset_start = -count66        rs = job.getResults(entity_name, offset, count)67        if rs == None:68            return _('<p class="resultStatusMessage">The job appears to have expired or has been canceled. Splunk could not retrieve data for this search.</p>')69        #dataset = getattr(job, entity_name)[offset_start: offset+count]70        dataset = rs.results()71        #if we don't have anything....lets get out fast!72        if len(dataset) == 0:73            if rs.isPreview():74                return self.generateStatusMessage(entity_name, 'waiting', sid)75            else:76                return self.generateStatusMessage(entity_name, 'nodata', sid)77        # displayable fields; explicitly pull the _time field into the first column and _raw into the last78        fieldNames = [x for x in rs.fieldOrder() if (not x.startswith('_') or x in (TIME_FIELD, RAW_FIELD) )]79        #fieldNames = [x for x in getattr(job, entity_name).fieldOrder if (not x.startswith('_') or x == TIME_FIELD)]80        try:81            timePos = fieldNames.index(TIME_FIELD)82            fieldNames.pop(timePos)83            fieldNames.insert(0, TIME_FIELD)84        except ValueError:85            pass86        try:87            rawPos = fieldNames.index(RAW_FIELD)88            fieldNames.pop(rawPos)89            fieldNames.append(RAW_FIELD)90        except ValueError:91            pass92        try:93            locationPos = fieldNames.index('Location')94            fieldNames.pop(locationPos)95        except ValueError:96            pass97        # the client will request reverse_order=1, when it has determined98        # that we're in the special case of the 'mostly-backwards' sort order of real time search.99        # (we reverse it manually so it appears to the user 'mostly correct'.)100        # (yes, for the pedantic, correct just means "consistent with historical searches, with latest events on page 1")101        #102        # NOTE: the arithmetic of the offset and count with respect to eventAvailableCounts, will103        # already have been done on the client.  This literally just reverses the sort order of104        # the N events we're actually being asked to return.105        if (splunk.util.normalizeBoolean(reverse_order)) :106            dataset.reverse()107        # -------------------------build output ---------------------------#108        shash = hash(sid)109        output = []110        output.append('<div class="simpleResultsTableWrapper">')111        output.append('<table class="simpleResultsTable splTable')112        if (mark_interactive) :113            output.append(' enableMouseover')114        output.append('">')115        # generate headers116        output.append('<tr>')117        if display_row_numbers:118            output.append('<th class="pos"></th>')119        for field in fieldNames:120            output.append('<th><a><span class="sortLabel">%s</span> <span class="splSort%s"></span></a></th>' \121                % (cgi.escape(field), field != sortField and "None" or sortDir))122        output.append('<th>Actions</th>')123        # generate data124        for i, result in enumerate(dataset):125            isDir = str(result.get('Type')) == 'dir'126            location = str(result.get('Location'))127            output.append('<tr data-dir="%s" ' % (isDir))128            output.append('data-Location="%s">' % location.replace('"','&quot;'))129            for field in fieldNames:130                output.append('<td')131                if (mark_interactive and (field!="NULL" and field!="OTHER")) :132                    output.append(' class="d"')133                fieldValues = result.get(field, None)134                # render field values; multi-value as a list135                # cap display count to prevent blowout136                if fieldValues:137                    output.append(' field="%s">' % cgi.escape(field))138                    renderedValues = [cgi.escape(x.value) for x in fieldValues[:MAX_MULTI_VALUE_COUNT]]139                    if len(fieldValues) > MAX_MULTI_VALUE_COUNT:140                        clipCount = len(fieldValues) - MAX_MULTI_VALUE_COUNT141                        renderedValues.append(_('[and %d more values]') % clipCount)142                    # when we have multiValued fields we wrap them each in its own div elements143                    if (len(renderedValues) > 1):144                        multiValueStr = [MULTI_VALUE_WRAPPER % x for x in renderedValues]145                        output.append("".join(multiValueStr))146                    # however for single values the extra div is unwanted.147                    else:148                        if field=="Type":149                            output.append("<img src=\"" + util.make_url("/static/app/HadoopConnect/images/%s_icon.png" % (fieldValues[0])) + "\"/>")150                        else:151                            output.append("".join(renderedValues))152                    output.append('</span></td>')153                else:154                    output.append('></td>')155            input_type = 'hdfs' if location.startswith('hdfs://') else 'monitor'156            path = re.sub('^\w+://', '', location) 157            get_args = {'ns': client_app, 'action': 'edit', 'def.name': path} 158            if input_type == 'monitor':159               get_args['preflight'] = 'preview' #skip preview160            indexHDFSManager = util.make_url(['manager',client_app,'data','inputs', input_type ,'_new'], get_args)161            previewURI = util.make_url(['app','search','flashtimeline'], {'q': '| hdfs read %s' % ''.join(('"',location.replace('"',r'\"'),'"'))})162            output.append("<td>")163            actions = []164            if (int(cherrypy.config.get("version_label")[0])>=5):165                indexLink = []166                indexLink.append("<a target=\"_new\" href=\"")167                indexLink.append(indexHDFSManager)168                indexLink.append("\">Add as data input</a>")169                actions.append(''.join(indexLink))170            if ( str(result.get('Type')) == 'file'):171                previewLink = []172                previewLink.append("<a target=\"_new\" href=\"")173                previewLink.append(previewURI)174                previewLink.append("\">Search</a>")175                actions.append(''.join(previewLink))176            output.append(' | '.join(actions))177            output.append("</td>")178            output.append('</tr>')179        output.append('</table></div>')180        #---------------------181        #Pass the data on out182        #---------------------183        output = ''.join(output)...

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