Question

我正在尝试将项目从RequireJS迁移到webpack。我已完成大部分设置，但是当我尝试运行webpack时，出现以下错误：

Module not found: Error: Can't resolve 'app' in './app/scripts/views/public-views.js'."

我的代码在下面。

public-views.js：

define([
        'app',
        'backbone.syphon',
    ], function(App) {

'use strict';

var Public = {};

Public.Home = Backbone.View.extend({
    template: 'public/home',
    initialize: function() {

        //this.model.destroy();
        this.render;
    },

webpack.config.js

const path = require('path');
const webpack = require('webpack');

module.exports = {
    target: 'web',
    mode: 'development',

    entry: {
        appScript: './app/scripts/app.js',
        public: './app/scripts/views/public-views.js'
    },

    output: {
        filename: '[name].js',
        path: path.resolve(__dirname, './app/dist')
    },

    resolve: {
        modules: [
            "node_modules",
            path.resolve(__dirname, 'node_modules')
        ],
        alias: {
            'handlebars': '../../node_modules/handlebars/dist/handlebars'
        },
        extensions: ['.js']
    },

    plugins: [
        new webpack.ProvidePlugin({
            _: 'underscore'
        })
    ],

    module: {
        rules: [
            {
                test: /\.handlebars$/,
                exclude:/(node_modules)/,
                loader:"handlebars-loader"
            }
        ]
    }
};

据我所知，app不是NPM中的模块...因此我假设它是指app.js文件。我可能会缺少什么？

Answer 1

我能够解决这个问题-似乎我需要在from rest_framework import viewsets from rest_framework.response import Response from rest_framework import generics from .models import Campaigns from .serializers import Campaigns_1_Serializer class UpdateView(viewsets.ModelViewSet): def update(self, request, *args, **kwargs): data = request.DATA queryset = Campaigns.objects.filter(status='') serializer = Campaigns_1_Serializer(queryset, data=data, many=True) if serializer.is_valid(): serializer.save() return Response(serializer.data)之后将“ app”作为class ImageObject: def __init__(self, url): self.url = url response = requests.get(url) self.img = Image.open(BytesIO(response.content)) self.og_size = self.img.size def show(self): imshow(np.asarray(self.img)) def monochrome(self, scale=3, threshold=200): # convert image to monochrome image = self.img.convert('L') image_array = np.array(image) # Binarize a numpy array using threshold as cutoff for i in range(len(image_array)): for j in range(len(image_array[0])): if image_array[i][j] > threshold: image_array[i][j] = 255 else: image_array[i][j] = 0 image = Image.fromarray(image_array) # scale image down to reduce number of non-zero pixels img_sm = image.resize(tuple([int(v/scale) for v in image.size]),Image.ANTIALIAS) # convert image to black and white img_bw = img_sm.convert(mode='1', dither=2) self.bw_img = img_bw self.pixels = (1 - np.asarray(img_bw).astype(int)) self.pixels_flat = np.reshape(self.pixels, self.pixels.size) def show_bw(self): print("Dimensions: {}".format(self.bw_img.size)) print("Num. pixels: {}".format(self.pixels.sum())) imshow(np.asarray(self.bw_img)) def get_tour(self, starting_point="random", plot=True): # Get greedy tour through pixels absolute_index = np.where(self.pixels_flat > 0)[0] # positions of non-zero pixels relative_index = np.array(range(1, len(absolute_index)+1 )) # Replace each non-zero pixel in the array with its number # i.e., the 10th non-zero pixel will have 10 in its place flat_img_mod = deepcopy(self.pixels_flat) for rel, pix in enumerate(absolute_index): flat_img_mod[pix] = rel+1 # Get coordiantes for each non-zero pixel img_idx = np.reshape(flat_img_mod, self.pixels.shape) self.coord_list = [] for p1 in relative_index: p1_coords = tuple([int(c) for c in np.where(img_idx==p1)]) self.coord_list.append(list(p1_coords)) # Calcualte distance between each pair of coords dist_mat = distance.cdist(self.coord_list, self.coord_list, 'euclidean') # Initialize search space with nearest neighbor tour cities = self.coord_list num_cities = len(cities) if starting_point=="random": start = int(np.random.choice(range(num_cities),size=1)) else: assert starting_point < num_cities start = starting_point tour = [start] active_city = start for step in range(0, num_cities): dist_row = deepcopy(dist_mat[active_city,:]) for done in tour: dist_row[done] = np.inf nearest_neighbor = np.argmin(dist_row) if nearest_neighbor not in tour: tour.append(nearest_neighbor) active_city = nearest_neighbor y_tour = -np.array([cities[tour[i % num_cities]] for i in range(num_cities+1) ])[:,0] y_tour = y_tour - y_tour[0]#- min(y_tour) x_tour = np.array([cities[tour[i % num_cities]] for i in range(num_cities+1) ])[:,1] x_tour = x_tour - x_tour[0]#- min(x_tour) # Circle tour back to beginning np.append(x_tour, x_tour[0]) np.append(y_tour, y_tour[0]) num_cities = num_cities + 1 self.x_tour = x_tour self.y_tour = y_tour self.num_pixels = num_cities if plot: plt.plot(self.x_tour, self.y_tour) def get_splines(self, degree=5, plot=True): # Convert tours into parametric spline curves x_spl = UnivariateSpline(list(range(0,self.num_pixels)), self.x_tour, k=degree) y_spl = UnivariateSpline(list(range(0,self.num_pixels)), self.y_tour, k=degree) self.x_spl = x_spl self.y_spl = y_spl if plot: p = plt.plot(*zip(*[(x_spl(v), y_spl(v)) for v in np.linspace(0, self.num_pixels-1, 1000)])) def plot_parametric(self, num_points=1000): # num_points = number of points at which to sample the curves t_vals, x_vals = zip(*[ (v, self.x_spl(v)) for v in np.linspace(0, self.num_pixels, num_points) ]) x_vals = np.array(x_vals) y_vals = np.array([self.y_spl(v) for v in np.linspace(0, self.num_pixels, num_points)]) t_vals = np.array(t_vals) plt.plot(t_vals, x_vals) plt.plot(t_vals, y_vals)包括在内。

这是我使用的：

alias

Webpack：找不到模块：错误：无法解析“应用程序”

1 个答案: