def epilogue(self) :

    def enqueue(cmd) :
      'just execute here'
      message.debug('enqueue %(cmd)s', cmd=cmd)
      result = subprocess.Popen(cmd.split(' '), env=dict(os.environ, MDB='root='+str(self.mdb.get_root())+',parent='+str(self.mdb.log_id))).wait()
      if result > 0 :
        message.warning('process %(cmd)s returned non zero %(result)d', cmd=cmd, result=result)
    
    if self.is_master :
      # spawn some children
      for test in self.tests() :
        enqueue(str(test))
      database.rgr().result(self.mdb.log_id, self.mdb.is_root()).summary().summary()
      # optimize ...
      optimize = database.cvgOrderedOptimize(log_ids=[self.mdb.log_id,])
      coverage.messages.hush_creation()
      # do optimize run
      xml = optimize.run()
      # ... and annotate coverage summary
      if self.coverage :
        self.coverage.load(optimize.dump())
    else :
      # set per run seed
      random.seed(self.tst_seed)
      # ignore illegal bucket hits
      coverage.messages.CVG_200.level = message.IGNORE
      # make some coverage
      for i in range(0, 9999) :
        with random.choice(self.cpts) as cursor :
          for name, axis in cursor.point.axes() :
            cursor(**{name : self.choice(self.choices[id(cursor)][name])})
          cursor.incr(random.randrange(10))
    # if everything else ok
    self.success()
    def epilogue(self):
        def enqueue(cmd):
            'just execute here'
            message.debug('enqueue %(cmd)s', cmd=cmd)
            result = subprocess.Popen(
                cmd.split(' '),
                env=dict(os.environ,
                         MDB='root=' + str(self.mdb.get_root()) + ',parent=' +
                         str(self.mdb.log_id))).wait()
            if result > 0:
                message.warning('process %(cmd)s returned non zero %(result)d',
                                cmd=cmd,
                                result=result)

        if self.is_master:
            # spawn some children
            for test in self.tests():
                enqueue(str(test))
            database.rgr().result(self.mdb.log_id,
                                  self.mdb.is_root()).summary().summary()
            # optimize ...
            optimize = database.cvgOrderedOptimize(log_ids=[
                self.mdb.log_id,
            ])
            coverage.messages.hush_creation()
            # do optimize run
            xml = optimize.run()
            # ... and annotate coverage summary
            if self.coverage:
                self.coverage.load(optimize.dump())
        else:
            # set per run seed
            random.seed(self.tst_seed)
            # ignore illegal bucket hits
            coverage.messages.CVG_200.level = message.IGNORE
            # make some coverage
            for i in range(0, 9999):
                with random.choice(self.cpts) as cursor:
                    for name, axis in cursor.point.axes():
                        cursor(**{
                            name:
                            self.choice(self.choices[id(cursor)][name])
                        })
                    cursor.incr(random.randrange(10))
        # if everything else ok
        self.success()
Example #3
0
 def summary(self, verbose=False) :
   is_root = mdb_conn.is_root()
   results = database.rgr().result(mdb_conn.log_id, is_root)
   result = results.summary()
   if result.passes != result.total :
     if is_root or verbose :
       for test in results[1:] : # drop this
         if test.status.status is not 'PASS' :
           message.warning("[%(log_id)d, %(status)s] %(reason)s", log_id=test.log.log_id, **test.status)
   result.summary()
   return result
Example #4
0
 def summary(self, verbose=False):
     is_root = mdb_conn.is_root()
     results = database.rgr().result(mdb_conn.log_id, is_root)
     result = results.summary()
     if result.passes != result.total:
         if is_root or verbose:
             for test in results[1:]:  # drop this
                 if test.status.status is not 'PASS':
                     message.warning("[%(log_id)d, %(status)s] %(reason)s",
                                     log_id=test.log.log_id,
                                     **test.status)
     result.summary()
     return result
Example #5
0
import database
import mdb
import message
import os.path

################################################################################

parser = message.reportOptionParser()
parser.add_option('-r',
                  '--regression',
                  action='store_true',
                  default=False,
                  help='is regression')
options, values = parser.parse_args()

################################################################################

mdb.db.connection.set_default_db(db=os.path.join(options.root, '../db/mdb.db'))
message.message.summary(False)

for log_id in map(int, values):
    results = database.rgr().result(log_id, options.regression)
    result = results.summary(True)
    for test in results:
        (message.warning if test.status.status != 'PASS' else message.note)(
            "[%(log_id)d, %(status)s] %(reason)s",
            log_id=test.log.log_id,
            **test.status)
    result.summary()
Example #6
0
# Copyright (c) 2013 Rich Porter - see LICENSE for further details

import database
import mdb
import message
import os.path

################################################################################

parser = message.reportOptionParser()
parser.add_option('-r', '--regression', action='store_true', default=False, help='is regression')
options, values = parser.parse_args()

################################################################################

mdb.db.connection.set_default_db(db=os.path.join(options.root, '../db/mdb.db'))
message.message.summary(False)

for log_id in map(int, values) :
  results = database.rgr().result(log_id, options.regression)
  result = results.summary(True)
  for test in results :
    (message.warning if test.status.status != 'PASS' else message.note)("[%(log_id)d, %(status)s] %(reason)s", log_id=test.log.log_id, **test.status)
  result.summary()