因此，我具有将此功能存储在Firestore数据库中的功能，但是我想检查该值是否已经存在，并基于此值我想返回布尔值。
我一直试图通过异步等待来解决这个问题，但是它似乎没有用。最终，当我在Here is the full program
import wx
import matplotlib.pyplot as plt
import networkx as nx
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigCanvas
from networkx.drawing.nx_agraph import graphviz_layout
class NetworkFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, None, -1)
self.SetSize(wx.Size(1280, 768))
self.panel = wx.Panel(self)
self.fig = plt.figure()
self.canvas = FigCanvas(self.panel, -1, self.fig)
G = nx.Graph()
nodes = [0,1,2,3,4,5,6,7]
node_sizes = [650,400,400,250,250,250,250,250]
node_sizes = [x+1500 for x in node_sizes]
node_color = ["#00d992","#00d9c8","#00d9c8","#00b4d9","#00b4d9","#00b4d9","#00b4d9","#00b4d9"]
edges = [(1,0),(2,0),(3,1),(4,1),(5,1),(6,2),(7,2)]
node_label = {0: "Printer",
1: "Case",
2: "Electronics",
3: "Plastic 1",
4: "Plastic 2",
5: "Plastic 3",
6: "Metal 1",
7: "Metal 2"}
edge_weights = [1, 0.5, 0.5, 0.1, 0.1, 0.1, 0.1, 0.1] # ?????
new_edge_weights = [ int(x*10) for x in edge_weights]
lengths = {}
for e,l in zip(edges, new_edge_weights):
lengths[e] = dict(len=l)
G.add_nodes_from(nodes)
G.add_edges_from(edges)
nx.set_edge_attributes(G, lengths)
pos = graphviz_layout(G, prog='neato')
# Set the nodel label to empty for the new node
node_label[len(node_label)+1] = ""
# Set the size of the new node smaller than the master node
master_idx = 0
node_sizes.append(node_sizes[master_idx]-300)
# change the master node color to black
node_color[master_idx] = "#000000"
# set the color of the inner node (new smaller node)
node_color.append("#00d992")
# Set the position of the node same as the master node
pos[len(pos)+1] = pos[master_idx]
# Add node to the graph
G.add_node(len(node_label))
# Draw the graph
nx.draw_networkx(G,
pos=pos,
node_size = node_sizes,
node_color = node_color,
edge_weights='len',
labels = node_label,
with_labels=True)
self.vbox = wx.BoxSizer(wx.VERTICAL)
self.vbox.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.panel.SetSizer(self.vbox)
if __name__ == '__main__':
app = wx.App()
app.frame = NetworkFrame()
app.frame.Show()
app.MainLoop()
之前添加return时，它解决了问题。即使它解决了问题，我也不清楚原因。我知道它一定与异步有关。有人可以解释一下为什么添加退货可以解决问题吗？
performanceRef.get()答案 0 :(得分：0)
不是return解决了问题，异步/等待代码中可能存在一些问题，当您将其重写后进行回调时，它可以按预期工作。
如果您想获得更清晰的答案，请随时发布您的异步/等待版本。
P.S。您无需使用await关键字，因此在功能之前不需要async修饰符
Await关键字只是帮助我们停止当前行上的函数执行并等待promise解决。如果您想获得promise的结果（在then回调中将其命名为doc），则需要将其存储在某个常量中：
const doc = await performanceRef.get()
因此您已经拥有了它，并且可以像然后在回调中一样执行任何类型的验证。
如果要从此函数返回验证结果，只需像以前一样使用return关键字即可。