我很难弄清楚如何解决泄漏的记忆问题。我认为这可能是pywin32的问题,但我不完全确定。
我的读/写单个项目的代码似乎工作得很好,但是当使用组函数时,它会慢慢泄漏内存。我怀疑这是来自基于1的数组,必须在server_handles中传递。
有没有人知道一项工作?
def read_group(self, group, mode=OPC_SYNC, source=OPC_DS_CACHE):
""" Read a group returning a list of Result tuples or None. """
if group not in self.groups:
raise OPCError("Group does not exist, add first.")
items = []
server_handles = []
for name, item in self.items.items():
if item.group == group:
items.append(name)
server_handles.append(item.server_handle)
if not server_handles:
return None
# Note that arrays are 1 based so must add an element to beginning
server_handles.insert(0, 0)
if mode == OPC_SYNC:
val, err, qual, ts = self.groups[group].SyncRead(
Source=source,
NumItems=len(server_handles) - 1,
ServerHandles=server_handles)
# Map the return arrays into a list of result tuples
result = []
for i in range(len(items)):
result.append(Result(
items[i],
val[i],
OPC_QUALITY[qual[i]],
str(ts[i]),
err[i],
))
return result