|
| 1 | +""" |
| 2 | +This class is used to define the plot using the plot attributes. |
| 3 | +""" |
| 4 | + |
| 5 | +from DIRAC import S_OK |
| 6 | + |
| 7 | +from DIRAC.MonitoringSystem.Client.Types.PilotMonitoring import PilotMonitoring |
| 8 | +from DIRAC.MonitoringSystem.private.Plotters.BasePlotter import BasePlotter |
| 9 | + |
| 10 | +__RCSID__ = "$Id$" |
| 11 | + |
| 12 | + |
| 13 | +class WMSHistoryPlotter(BasePlotter): |
| 14 | + |
| 15 | + """ |
| 16 | + .. class:: PilotMonitoringPlotter |
| 17 | +
|
| 18 | + It is used to crate the plots. |
| 19 | +
|
| 20 | + param: str _typeName monitoring type |
| 21 | + param: list _typeKeyFields list of keys what we monitor (list of attributes) |
| 22 | + """ |
| 23 | + |
| 24 | + _typeName = "PilotMonitoring" |
| 25 | + _typeKeyFields = PilotMonitoring().keyFields |
| 26 | + |
| 27 | + def reportNumberOfSubmissions(self, reportRequest): |
| 28 | + """It is used to retrieve the data from the database. |
| 29 | +
|
| 30 | + :param dict reportRequest: contains attributes used to create the plot. |
| 31 | + :return: S_OK or S_ERROR {'data':value1, 'granularity':value2} value1 is a dictionary, value2 is the bucket length |
| 32 | + """ |
| 33 | + retVal = self._getTimedData( |
| 34 | + startTime=reportRequest["startTime"], |
| 35 | + endTime=reportRequest["endTime"], |
| 36 | + selectField="NumTotal", |
| 37 | + preCondDict=reportRequest["condDict"], |
| 38 | + metadataDict=None, |
| 39 | + ) |
| 40 | + if not retVal["OK"]: |
| 41 | + return retVal |
| 42 | + dataDict, granularity = retVal["Value"] |
| 43 | + return S_OK({"data": dataDict, "granularity": granularity}) |
| 44 | + |
| 45 | + def _plotNumberOfSubmissions(self, reportRequest, plotInfo, filename): |
| 46 | + """It creates the plot. |
| 47 | +
|
| 48 | + :param dict reportRequest: plot attributes |
| 49 | + :param dict plotInfo: contains all the data which are used to create the plot |
| 50 | + :param str filename: |
| 51 | + :return: S_OK or S_ERROR { 'plot' : value1, 'thumbnail' : value2 } value1 and value2 are TRUE/FALSE |
| 52 | + """ |
| 53 | + metadata = { |
| 54 | + "title": "Pilot Submissions by %s" % reportRequest["grouping"], |
| 55 | + "starttime": reportRequest["startTime"], |
| 56 | + "endtime": reportRequest["endTime"], |
| 57 | + "span": plotInfo["granularity"], |
| 58 | + "skipEdgeColor": True, |
| 59 | + "ylabel": "Submissions", |
| 60 | + } |
| 61 | + |
| 62 | + plotInfo["data"] = self._fillWithZero( |
| 63 | + granularity=plotInfo["granularity"], |
| 64 | + startEpoch=reportRequest["startTime"], |
| 65 | + endEpoch=reportRequest["endTime"], |
| 66 | + dataDict=plotInfo["data"], |
| 67 | + ) |
| 68 | + |
| 69 | + return self._generateStackedLinePlot(filename=filename, dataDict=plotInfo["data"], metadata=metadata) |
| 70 | + |
| 71 | + def reportNumSucceeded(self, reportRequest): |
| 72 | + """It is used to retrieve the data from the database. |
| 73 | +
|
| 74 | + :param dict reportRequest: contains attributes used to create the plot. |
| 75 | + :return: S_OK or S_ERROR {'data':value1, 'granularity':value2} value1 is a dictionary, value2 is the bucket length |
| 76 | + """ |
| 77 | + retVal = self._getTimedData( |
| 78 | + startTime=reportRequest["startTime"], |
| 79 | + endTime=reportRequest["endTime"], |
| 80 | + selectField="NumSucceeded", |
| 81 | + preCondDict=reportRequest["condDict"], |
| 82 | + metadataDict=None, |
| 83 | + ) |
| 84 | + if not retVal["OK"]: |
| 85 | + return retVal |
| 86 | + dataDict, granularity = retVal["Value"] |
| 87 | + return S_OK({"data": dataDict, "granularity": granularity}) |
| 88 | + |
| 89 | + def _plotNumberOfJobs(self, reportRequest, plotInfo, filename): |
| 90 | + """It creates the plot. |
| 91 | +
|
| 92 | + :param dict reportRequest: plot attributes |
| 93 | + :param dict plotInfo: contains all the data which are used to create the plot |
| 94 | + :param str filename: |
| 95 | + :return: S_OK or S_ERROR { 'plot' : value1, 'thumbnail' : value2 } value1 and value2 are TRUE/FALSE |
| 96 | + """ |
| 97 | + metadata = { |
| 98 | + "title": "Jobs by %s" % reportRequest["grouping"], |
| 99 | + "starttime": reportRequest["startTime"], |
| 100 | + "endtime": reportRequest["endTime"], |
| 101 | + "span": plotInfo["granularity"], |
| 102 | + "skipEdgeColor": True, |
| 103 | + "ylabel": "jobs", |
| 104 | + } |
| 105 | + |
| 106 | + plotInfo["data"] = self._fillWithZero( |
| 107 | + granularity=plotInfo["granularity"], |
| 108 | + startEpoch=reportRequest["startTime"], |
| 109 | + endEpoch=reportRequest["endTime"], |
| 110 | + dataDict=plotInfo["data"], |
| 111 | + ) |
| 112 | + |
| 113 | + return self._generateStackedLinePlot(filename=filename, dataDict=plotInfo["data"], metadata=metadata) |
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