Question

我在主要的全状态窗口小部件类中有一个搜索视图，在另一个窗口小部件类中有一个列表视图。现在，当用户搜索某些内容时，我想将搜索文本传递给listview小部件以调用api。

那我该怎么办呢？

第一次打开列表时可以使用，但是当我搜索某些内容时如何再次调用它？

下面是我的代码段。

Stack(
      children: <Widget>[
        Flex(
          direction: Axis.vertical,
          crossAxisAlignment: CrossAxisAlignment.start,
          children: <Widget>[
            Divider(
              color: ColorsApp.gray,
              height: 1,
            ),
            searchView(),
            Expanded(
              child: OrderList(
                isSearch: isSearch,
                textSearch: textSearch,
                onCallBack: widget.onCalBack,
              ),
            ),
          ],
        ),
      ],
    );

立即更改搜索文字

 void _onTextChange(String value) {
    print(tag + "....value........" + value);

    if (value == "") {
      _writtingStatusController.add(true);
      _customSearchViewController.add(false);
      setState(() {
        textSearch = "";
        isSearch = true;
      });
    } else {
      _writtingStatusController.add(false);
      _customSearchViewController.add(true);
      setState(() {
        textSearch = value;
        isSearch = true;
      });
    }
  }

订单列表类

class OrderList extends StatefulWidget {
  final String textSearch;
  final bool isSearch;
  final Function onCallBack;

  const OrderList({
    Key key,
    this.textSearch,
    this.onCallBack,
    this.isSearch,
  }) : super(key: key);

  @override
  _OrderListState createState() => _OrderListState();
}

Answer 1

您应该从父级传递import random import numpy as np def add_noise(img): '''Add random noise to an image''' VARIABILITY = 50 deviation = VARIABILITY*random.random() noise = np.random.normal(0, deviation, img.shape) img += noise np.clip(img, 0., 255.) return img # Prepare data-augmenting data generator from keras.preprocessing.image import ImageDataGenerator datagen = ImageDataGenerator( rescale=1./255, rotation_range=40, width_shift_range=0.2, height_shift_range=0.2, zoom_range=0.2, preprocessing_function=add_noise, ) # Load a single image as our example from keras.preprocessing import image img_path = 'cat_by_irene_mei_flickr.png' img = image.load_img(img_path, target_size=(299,299)) # Generate distorted images images = [img] img_arr = image.img_to_array(img) img_arr = img_arr.reshape((1,) + img_arr.shape) for batch in datagen.flow(img_arr, batch_size=1): images.append( image.array_to_img(batch[0]) ) if len(images) >= 4: break # Display import matplotlib.pyplot as plt f, xyarr = plt.subplots(2,2) xyarr[0,0].imshow(images[0]) xyarr[0,1].imshow(images[1]) xyarr[1,0].imshow(images[2]) xyarr[1,1].imshow(images[3]) plt.show()方法。

onChanged

然后在父项中：

class SearchView extends StatelessWidget {
  final void Function(String) onChanged;

  const SearchView({Key key, this.onChanged}) : super(key: key);

  @override
  Widget build(BuildContext context) {
    return 
        ...
        TextField(
          ...
          onChanged: this.onChanged,
          ...
        ),
        ...
  }
}

Flutter-如何在搜索时将搜索文本从一个窗口小部件传递到另一类窗口小部件？

1 个答案: