Unity - 在EditorWindow中的Resources.LoadAll

Question

任何人都知道如何在EditorWindow中使用Resources.LoadAll或其他类似的方法？

我有这个错误：LoadAll can only be called from the main thread。

通常我创建节点编辑器，我需要资源中的所有项目。

这就是我使用静态方法的方法：

foreach (var item in DataManager.Items.All<Food>())
{
      _foodItems.Add(item.Name);
}

这是我的静态方法：

internal static IEnumerable<T> All<T>() where T : BaseItem
{
       return Resources.LoadAll<T>(itemsPaths[typeof (T)]);
}

BaseItem是具有一些公共变量的公共抽象类。

public abstract class BaseItem : Datablock
{
     #region Data

     /// <summary>
     /// Game item name.
     /// </summary>
     public string Name;

Ohhh和QuestTaskNode我想要使用的课程Resources.LoadAll继承自ScriptableObject

Answer 1

为：

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

from __future__ import print_function

# $example on$
from pyspark.ml.feature import Word2Vec
# $example off$
from pyspark.sql import SparkSession

if __name__ == "__main__":
    spark = SparkSession\
        .builder\
        .appName("Word2VecExample")\
        .getOrCreate()

    # $example on$
    # Input data: Each row is a bag of words from a sentence or document.
    documentDF = spark.createDataFrame([
        ("Hi I heard about Spark".split(" "), ),
        ("I wish Java could use case classes".split(" "), ),
        ("Logistic regression models are neat".split(" "), )
    ], ["text"])
    # Learn a mapping from words to Vectors.
    word2Vec = Word2Vec(vectorSize=3, minCount=0, inputCol="text", outputCol="result")
    model = word2Vec.fit(documentDF)
    result = model.transform(documentDF)
    for feature in result.select("result").take(3):
        print(feature)
    # $example off$

    spark.stop()

为：

Class BadCode{
  Resources.LoadAll(....);
}

好：

Class BadCode{
    BadCode(){
     Resources.LoadAll(....);
   }
}

只需将Unity API代码放在函数中。也不要将它放在继承自Class GoodCode{ void putUnityAPIInsideAFunction() { Resources.LoadAll(....); } } 的类构造函数中。您将得到相同的错误，因为这些错误未在主MonoBehaviour上调用。