def check_handle(pool_glob_handle, uuidstr, cont_glob_handle, rank): """ This gets run in a child process and verifyes the global handles can be turned into local handles in another process. """ try: # get paths from the build_vars generated by build with open('../../../.build_vars.json') as build_file: build_paths = json.load(build_file) # setup the DAOS python API in this process context = DaosContext(build_paths['PREFIX'] + '/lib/') # setup the pool and connect using global handle pool = DaosPool(context) pool.uuid = uuidstr pool.set_svc(rank) pool.group = "daos_server" buf = ctypes.cast(pool_glob_handle.iov_buf, ctypes.POINTER(ctypes.c_byte * pool_glob_handle.iov_buf_len)) buf2 = bytearray() buf2.extend(buf.contents) pool_handle = pool.global2local(context, pool_glob_handle.iov_len, pool_glob_handle.iov_buf_len, buf2) # perform an operation that will use the new handle, if it # doesn't throw an exception, then all is well. pool.pool_query() # setup the container and then connect using the global handle container = DaosContainer(context) container.poh = pool_handle buf = ctypes.cast(cont_glob_handle.iov_buf, ctypes.POINTER(ctypes.c_byte * cont_glob_handle.iov_buf_len)) buf2 = bytearray() buf2.extend(buf.contents) dummy_cont_handle = container.global2local(context, cont_glob_handle.iov_len, cont_glob_handle.iov_buf_len, buf2) # just try one thing to make sure handle is good container.query() except DaosApiError as excep: print(excep) print(traceback.format_exc()) raise return
def test_exclude(self): """ Pass bad parameters to pool connect :avocado: tags=pool,poolexclude,badparam,badexclude """ # parameters used in pool create createmode = self.params.get("mode", '/run/pool/createmode/') createsetid = self.params.get("setname", '/run/pool/createset/') createsize = self.params.get("size", '/run/pool/createsize/') createuid = os.geteuid() creategid = os.getegid() # Accumulate a list of pass/fail indicators representing what is # expected for each parameter then "and" them to determine the # expected result of the test expected_for_param = [] tgtlist = self.params.get("ranklist", '/run/testparams/tgtlist/*/') targets = [] if tgtlist[0] == "NULLPTR": targets = None self.cancel("skipping null pointer test until DAOS-1929 is fixed") else: targets.append(tgtlist[0]) expected_for_param.append(tgtlist[1]) svclist = self.params.get("ranklist", '/run/testparams/svrlist/*/') svc = svclist[0] expected_for_param.append(svclist[1]) setlist = self.params.get("setname", '/run/testparams/connectsetnames/*/') connectset = setlist[0] expected_for_param.append(setlist[1]) uuidlist = self.params.get("uuid", '/run/testparams/UUID/*/') excludeuuid = uuidlist[0] expected_for_param.append(uuidlist[1]) # if any parameter is FAIL then the test should FAIL, in this test # virtually everyone should FAIL since we are testing bad parameters expected_result = 'PASS' for result in expected_for_param: if result == 'FAIL': expected_result = 'FAIL' break saved_svc = None saved_grp = None saved_uuid = None pool = None try: # setup the DAOS python API with open('../../../.build_vars.json') as build_file: data = json.load(build_file) context = DaosContext(data['PREFIX'] + '/lib/') # initialize a python pool object then create the underlying # daos storage pool = DaosPool(context) pool.create(createmode, createuid, creategid, createsize, createsetid, None) # trash the the pool service rank list if not svc == 'VALID': self.cancel("skipping this test until DAOS-1931 is fixed") saved_svc = RankList(pool.svc.rl_ranks, pool.svc.rl_nr) pool.svc = None # trash the pool group value if connectset == 'NULLPTR': saved_grp = pool.group pool.group = None # trash the UUID value in various ways if excludeuuid == 'NULLPTR': self.cancel("skipping this test until DAOS-1932 is fixed") ctypes.memmove(saved_uuid, pool.uuid, 16) pool.uuid = 0 if excludeuuid == 'CRAP': self.cancel("skipping this test until DAOS-1932 is fixed") ctypes.memmove(saved_uuid, pool.uuid, 16) pool.uuid[4] = 244 pool.exclude(targets) if expected_result in ['FAIL']: self.fail("Test was expected to fail but it passed.\n") except DaosApiError as excep: print(excep) print(traceback.format_exc()) if expected_result in ['PASS']: self.fail("Test was expected to pass but it failed.\n") finally: if pool is not None: if saved_svc is not None: pool.svc = saved_svc if saved_grp is not None: pool.group = saved_grp if saved_uuid is not None: ctypes.memmove(pool.uuid, saved_uuid, 16) pool.destroy(1)
def test_connect(self): """ Pass bad parameters to pool connect :avocado: tags=all,pool,full_regression,tiny,badconnect """ # parameters used in pool create createmode = self.params.get("mode", '/run/connecttests/createmode/') createuid = self.params.get("uid", '/run/connecttests/uids/createuid/') creategid = self.params.get("gid", '/run/connecttests/gids/creategid/') createsetid = self.params.get("setname", '/run/connecttests/setnames/createset/') createsize = self.params.get("size", '/run/connecttests/psize/createsize/') # Accumulate a list of pass/fail indicators representing what is # expected for each parameter then "and" them to determine the # expected result of the test expected_for_param = [] modelist = self.params.get("mode", '/run/connecttests/connectmode/*/') connectmode = modelist[0] expected_for_param.append(modelist[1]) svclist = self.params.get("ranklist", '/run/connecttests/svrlist/*/') svc = svclist[0] expected_for_param.append(svclist[1]) setlist = self.params.get("setname", '/run/connecttests/connectsetnames/*/') connectset = setlist[0] expected_for_param.append(setlist[1]) uuidlist = self.params.get("uuid", '/run/connecttests/UUID/*/') connectuuid = uuidlist[0] expected_for_param.append(uuidlist[1]) # if any parameter is FAIL then the test should FAIL, in this test # virtually everyone should FAIL since we are testing bad parameters expected_result = 'PASS' for result in expected_for_param: if result == 'FAIL': expected_result = 'FAIL' break puuid = (ctypes.c_ubyte * 16)() psvc = RankList() pgroup = ctypes.create_string_buffer(0) pool = None try: # setup the DAOS python API with open('../../../.build_vars.json') as build_file: data = json.load(build_file) context = DaosContext(data['PREFIX'] + '/lib/') # initialize a python pool object then create the underlying # daos storage pool = DaosPool(context) pool.create(createmode, createuid, creategid, createsize, createsetid, None) # save this uuid since we might trash it as part of the test ctypes.memmove(puuid, pool.uuid, 16) # trash the the pool service rank list psvc.rl_ranks = pool.svc.rl_ranks psvc.rl_nr = pool.svc.rl_nr if not svc == 'VALID': rl_ranks = ctypes.POINTER(ctypes.c_uint)() pool.svc = RankList(rl_ranks, 1) # trash the pool group value pgroup = pool.group if connectset == 'NULLPTR': pool.group = None # trash the UUID value in various ways if connectuuid == 'NULLPTR': pool.uuid = None if connectuuid == 'JUNK': pool.uuid[4] = 244 pool.connect(connectmode) if expected_result in ['FAIL']: self.fail("Test was expected to fail but it passed.\n") except DaosApiError as excep: print(excep) print(traceback.format_exc()) if expected_result in ['PASS']: self.fail("Test was expected to pass but it failed.\n") # cleanup the pool finally: if pool is not None and pool.attached == 1: # restore values in case we trashed them during test pool.svc.rl_ranks = psvc.rl_ranks pool.svc.rl_nr = psvc.rl_nr pool.group = pgroup ctypes.memmove(pool.uuid, puuid, 16) print("pool uuid after restore {}".format(pool.get_uuid_str())) pool.destroy(1)
def test_connect(self): """ Pass bad parameters to pool connect :avocado: tags=pool,poolconnect,badparam,badconnect """ global basepath # parameters used in pool create createmode = self.params.get("mode", '/run/connecttests/createmode/') createuid = self.params.get("uid", '/run/connecttests/uids/createuid/') creategid = self.params.get("gid", '/run/connecttests/gids/creategid/') createsetid = self.params.get("setname", '/run/connecttests/setnames/createset/') createsize = self.params.get("size", '/run/connecttests/psize/createsize/') # Accumulate a list of pass/fail indicators representing what is # expected for each parameter then "and" them to determine the # expected result of the test expected_for_param = [] modelist = self.params.get("mode", '/run/connecttests/connectmode/*/') connectmode = modelist[0] expected_for_param.append(modelist[1]) svclist = self.params.get("ranklist", '/run/connecttests/svrlist/*/') svc = svclist[0] expected_for_param.append(svclist[1]) setlist = self.params.get("setname", '/run/connecttests/connectsetnames/*/') connectset = setlist[0] expected_for_param.append(setlist[1]) uuidlist = self.params.get("uuid", '/run/connecttests/UUID/*/') connectuuid = uuidlist[0] expected_for_param.append(uuidlist[1]) # if any parameter is FAIL then the test should FAIL, in this test # virtually everyone should FAIL since we are testing bad parameters expected_result = 'PASS' for result in expected_for_param: if result == 'FAIL': expected_result = 'FAIL' break try: # setup the DAOS python API with open('../../../.build_vars.json') as f: data = json.load(f) CONTEXT = DaosContext(data['PREFIX'] + '/lib/') # initialize a python pool object then create the underlying # daos storage POOL = DaosPool(CONTEXT) POOL.create(createmode, createuid, creategid, createsize, createsetid, None) # trash the the pool service rank list if not svc == 'VALID': rl_ranks = ctypes.POINTER(ctypes.c_uint)() POOL.svc = RankList(rl_ranks, 1) # trash the pool group value if connectset == None: POOL.group = None # trash the UUID value in various ways if connectuuid == None: POOL.uuid = None if connectuuid == 'JUNK': POOL.uuid[4] = 244 POOL.connect(connectmode) if expected_result in ['FAIL']: self.fail("Test was expected to fail but it passed.\n") except ValueError as e: print e print traceback.format_exc() if expected_result in ['PASS']: self.fail("Test was expected to pass but it failed.\n") # cleanup the pool finally: if POOL is not None and POOL.attached == 1: POOL.destroy(1)
def test_exclude(self): """ Pass bad parameters to pool connect :avocado: tags=pool,poolexclude,badparam,badexclude """ # parameters used in pool create createmode = self.params.get("mode", '/run/pool/createmode/') createsetid = self.params.get("setname", '/run/pool/createset/') createsize = self.params.get("size", '/run/pool/createsize/') createuid = os.geteuid() creategid = os.getegid() # Accumulate a list of pass/fail indicators representing what is # expected for each parameter then "and" them to determine the # expected result of the test expected_for_param = [] tgtlist = self.params.get("ranklist", '/run/testparams/tgtlist/*/') targets = [] if tgtlist[0] == "NULLPTR": targets = None self.cancel("skipping null pointer test until DAOS-1929 is fixed") else: targets.append(tgtlist[0]) expected_for_param.append(tgtlist[1]) svclist = self.params.get("ranklist", '/run/testparams/svrlist/*/') svc = svclist[0] expected_for_param.append(svclist[1]) setlist = self.params.get("setname", '/run/testparams/connectsetnames/*/') connectset = setlist[0] expected_for_param.append(setlist[1]) uuidlist = self.params.get("uuid", '/run/testparams/UUID/*/') excludeuuid = uuidlist[0] expected_for_param.append(uuidlist[1]) # if any parameter is FAIL then the test should FAIL, in this test # virtually everyone should FAIL since we are testing bad parameters expected_result = 'PASS' for result in expected_for_param: if result == 'FAIL': expected_result = 'FAIL' break saved_svc = None saved_grp = None saved_uuid = None pool = None try: # setup the DAOS python API with open('../../../.build_vars.json') as f: data = json.load(f) context = DaosContext(data['PREFIX'] + '/lib/') # initialize a python pool object then create the underlying # daos storage pool = DaosPool(context) pool.create(createmode, createuid, creategid, createsize, createsetid, None) # trash the the pool service rank list if not svc == 'VALID': self.cancel("skipping this test until DAOS-1931 is fixed") saved_svc = RankList(pool.svc.rl_ranks, pool.svc.rl_nr) pool.svc = None # trash the pool group value if connectset == 'NULLPTR': saved_grp = pool.group pool.group = None # trash the UUID value in various ways if excludeuuid == 'NULLPTR': self.cancel("skipping this test until DAOS-1932 is fixed") ctypes.memmove(saved_uuid, pool.uuid, 16) pool.uuid = 0 if excludeuuid == 'CRAP': self.cancel("skipping this test until DAOS-1932 is fixed") ctypes.memmove(saved_uuid, pool.uuid, 16) pool.uuid[4] = 244 pool.exclude(targets) if expected_result in ['FAIL']: self.fail("Test was expected to fail but it passed.\n") except DaosApiError as e: print(e) print(traceback.format_exc()) if expected_result in ['PASS']: self.fail("Test was expected to pass but it failed.\n") finally: if pool is not None: if saved_svc is not None: pool.svc = saved_svc if saved_grp is not None: pool.group = saved_grp if saved_uuid is not None: ctypes.memmove(pool.uuid, saved_uuid, 16) pool.destroy(1)
def test_connect(self): """ Pass bad parameters to pool connect :avocado: tags=pool,poolconnect,badparam,badconnect """ # parameters used in pool create createmode = self.params.get("mode", '/run/connecttests/createmode/') createuid = self.params.get("uid", '/run/connecttests/uids/createuid/') creategid = self.params.get("gid", '/run/connecttests/gids/creategid/') createsetid = self.params.get("setname", '/run/connecttests/setnames/createset/') createsize = self.params.get("size", '/run/connecttests/psize/createsize/') # Accumulate a list of pass/fail indicators representing what is # expected for each parameter then "and" them to determine the # expected result of the test expected_for_param = [] modelist = self.params.get("mode", '/run/connecttests/connectmode/*/') connectmode = modelist[0] expected_for_param.append(modelist[1]) svclist = self.params.get("ranklist", '/run/connecttests/svrlist/*/') svc = svclist[0] expected_for_param.append(svclist[1]) setlist = self.params.get("setname", '/run/connecttests/connectsetnames/*/') connectset = setlist[0] expected_for_param.append(setlist[1]) uuidlist = self.params.get("uuid", '/run/connecttests/UUID/*/') connectuuid = uuidlist[0] expected_for_param.append(uuidlist[1]) # if any parameter is FAIL then the test should FAIL, in this test # virtually everyone should FAIL since we are testing bad parameters expected_result = 'PASS' for result in expected_for_param: if result == 'FAIL': expected_result = 'FAIL' break puuid = (ctypes.c_ubyte * 16)() psvc = RankList() pgroup = ctypes.create_string_buffer(0) pool = None try: # setup the DAOS python API with open('../../../.build_vars.json') as build_file: data = json.load(build_file) context = DaosContext(data['PREFIX'] + '/lib/') # initialize a python pool object then create the underlying # daos storage pool = DaosPool(context) pool.create(createmode, createuid, creategid, createsize, createsetid, None) # save this uuid since we might trash it as part of the test ctypes.memmove(puuid, pool.uuid, 16) # trash the the pool service rank list psvc.rl_ranks = pool.svc.rl_ranks psvc.rl_nr = pool.svc.rl_nr if not svc == 'VALID': rl_ranks = ctypes.POINTER(ctypes.c_uint)() pool.svc = RankList(rl_ranks, 1) # trash the pool group value pgroup = pool.group if connectset == 'NULLPTR': pool.group = None # trash the UUID value in various ways if connectuuid == 'NULLPTR': pool.uuid = None if connectuuid == 'JUNK': pool.uuid[4] = 244 pool.connect(connectmode) if expected_result in ['FAIL']: self.fail("Test was expected to fail but it passed.\n") except DaosApiError as excep: print(excep) print(traceback.format_exc()) if expected_result in ['PASS']: self.fail("Test was expected to pass but it failed.\n") # cleanup the pool finally: if pool is not None and pool.attached == 1: # restore values in case we trashed them during test pool.svc.rl_ranks = psvc.rl_ranks pool.svc.rl_nr = psvc.rl_nr pool.group = pgroup ctypes.memmove(pool.uuid, puuid, 16) print("pool uuid after restore {}".format( pool.get_uuid_str())) pool.destroy(1)