python - 带有“import bokeh”的烧瓶，带有 2 个没有外部散景服务器的散景图，而不是“模型只能由一个文档拥有”

Question

TL;博士

我是散景的初学者。

我已经阅读了https://docs.bokeh.org或 stackoverflow 和 github 中的其他示例，但我没有在 Flask 中找到import bokeh具有 2 个没有外部散景服务器的散景图的示例，而不是“模型必须仅由单个文档拥有"

所有示例或教程都适用于 Flask 中嵌入的散景服务器或散景服务器。

2021 年 9 月 9 日：我用烧瓶、散景、vue3、vuex4、composition-api 完成了 POC：https ://github.com/philibe/FlaskVueBokehPOC 。我清理了我的最后一个自动答案，并使用 POC 作为教程创建了一个新答案。

问题

我从下面的散景服务器示例开始，由我通过与共享数据源的交互进行了修改，但是我在转换为import bokeh带有 2 个散景图的 Flask 时遇到了问题，没有外部散景服务器，而不是“模型必须由单个文档拥有”

• https://github.com/bokeh/bokeh/blob/master/examples/app/stocks（在运行之前，我们必须启动download_sample_data.py以获取数据。）

该问题的预期答案最终是在 Flask 中有一个示例，其中import bokeh包含 2 个没有外部散景服务器的散景图，而不是“模型必须由单个文档拥有”

我修改的初始散景服务器示例：它有效。

bokeh serve main.py --allow-websocket-origin=192.168.1.xxx:5006

from functools import lru_cache
from os.path import dirname, join

import numpy as np

import pandas as pd

from bokeh.io import curdoc
from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource, PreText, Select
from bokeh.plotting import figure

import logging
import json
#log = logging.getLogger('bokeh')

LOG_FORMAT = "%(levelname)s %(asctime)s - %(message)s"
file_handler = logging.FileHandler(filename='test.log', mode='w')
file_handler.setFormatter(logging.Formatter(LOG_FORMAT))
logger = logging.getLogger('toto')
logger.addHandler(file_handler)
logger.setLevel(logging.DEBUG)

logger.info('Hello there')


DATA_DIR = join(dirname(__file__), 'daily')

DEFAULT_TICKERS = ['AAPL', 'GOOG', 'INTC', 'BRCM', 'YHOO']

def nix(val, lst):
    return [x for x in lst if x != val]

@lru_cache()
def load_ticker(ticker):
    fname = join(DATA_DIR, 'table_%s.csv' % ticker.lower())
    data = pd.read_csv(fname, header=None, parse_dates=['date'],
                       names=['date', 'foo', 'o', 'h', 'l', 'c', 'v'])
    data = data.set_index('date')
    return pd.DataFrame({ticker: data.c, ticker+'_returns': data.c.diff()})

@lru_cache()
def get_data(t1, t2):
    df1 = load_ticker(t1)
    df2 = load_ticker(t2)
    data = pd.concat([df1, df2], axis=1)
    data = data.dropna()
    data['t1'] = data[t1]
    data['t2'] = data[t2]
    data['t1_returns'] = data[t1+'_returns']
    data['t2_returns'] = data[t2+'_returns']
    return data

# set up widgets

stats = PreText(text='', width=500)
ticker1 = Select(value='AAPL', options=nix('GOOG', DEFAULT_TICKERS))
ticker2 = Select(value='GOOG', options=nix('AAPL', DEFAULT_TICKERS))

# set up plots

source = ColumnDataSource(data=dict(date=[], t1=[], t2=[], t1_returns=[], t2_returns=[]))
source_static = ColumnDataSource(data=dict(date=[], t1=[], t2=[], t1_returns=[], t2_returns=[]))
tools = 'pan,wheel_zoom,xbox_select,reset'

TOOLTIPS = [
    ("index", "$index"),
    ("(x,y)", "($x, $y)"),
    # ("desc", "@desc"),
]

corr = figure(width=350, height=350,
              tools='pan,wheel_zoom,box_select,reset', tooltips=TOOLTIPS)
corr.circle('t1_returns', 't2_returns', size=2, source=source,
            selection_color="orange", alpha=0.6, nonselection_alpha=0.1, selection_alpha=0.4)

ts1 = figure(width=900, height=200, tools=tools, x_axis_type='datetime', active_drag="xbox_select", tooltips=TOOLTIPS)

ts1.line('date', 't1', source=source_static)
ts1.circle('date', 't1', size=1, source=source, color=None, selection_color="orange")

ts2 = figure(width=900, height=200, tools=tools, x_axis_type='datetime', active_drag="xbox_select", tooltips=TOOLTIPS)

#logger.info(repr( ts1.x_range))

ts2.x_range = ts1.x_range
ts2.line('date', 't2', source=source_static)
ts2.circle('date', 't2', size=1, source=source, color=None, selection_color="orange")

ts2.vbar(x='date', top='t1', source=source_static,width = .9)

# set up callbacks

def ticker1_change(attrname, old, new):
    ticker2.options = nix(new, DEFAULT_TICKERS)
    update()

def ticker2_change(attrname, old, new):
    ticker1.options = nix(new, DEFAULT_TICKERS)
    update()

def update(selected=None):
    t1, t2 = ticker1.value, ticker2.value

    df = get_data(t1, t2)
    data = df[['t1', 't2', 't1_returns', 't2_returns']]
    source.data = data
    source_static.data = data

    update_stats(df, t1, t2)

    corr.title.text = '%s returns vs. %s returns' % (t1, t2)
    ts1.title.text, ts2.title.text = t1, t2

def update_stats(data, t1, t2):
    stats.text = str(data[[t1, t2, t1+'_returns', t2+'_returns']].describe())

ticker1.on_change('value', ticker1_change)
ticker2.on_change('value', ticker2_change)

def selection_change(attrname, old, new):
    t1, t2 = ticker1.value, ticker2.value
    data = get_data(t1, t2)
    selected = source.selected.indices
    if selected:
        data = data.iloc[selected, :]
    update_stats(data, t1, t2)

source.selected.on_change('indices', selection_change)

# set up layout
widgets = column(ticker1, ticker2, stats)
main_row = row(corr, widgets)
series = column(ts1, ts2)
layout = column(main_row, series)

# initialize
update()

curdoc().add_root(layout)
curdoc().title = "Stocks"

散景服务器源（严重）转换为 Flask，import bokeh带有 2 个散景图，没有外部散景服务器，而不是“模型必须由单个文档拥有”

python app_so.py-> http://192.168.1.xxx:5007/stock1

• 如果数据源不同，一切正常，
• 如果图中尚未加载数据：“RuntimeError：模型必须由单个文档拥有，Selection(id='1043', ...) 已经在文档中”

我读到常见的解决方法是拥有不同的来源，但我想要共享来源，就像我修改的散景服务器示例一样。

第二次我在下面有这个警告：在 Flask 中是否必须使用 Js 回调来实现散景？

警告：bokeh.embed.util：您正在生成独立的 HTML/JS 输出，但尝试使用真正的 Python 回调（即使用 on_change 或 on_event）。这种组合是行不通的。

只有 JavaScript 回调可以与独立输出一起使用。有关使用 Bokeh 进行 JavaScript 回调的更多信息，请参阅：

https://docs.bokeh.org/en/latest/docs/user_guide/interaction/callbacks.html

app_so.py

from flask import Flask, Response, render_template, jsonify, request, json

from bokeh.embed import components
import bokeh.embed as embed

from bokeh.plotting import figure
from bokeh.resources import INLINE
from bokeh.embed import json_item

from flask_debugtoolbar import DebugToolbarExtension

from werkzeug.utils import import_string

from werkzeug.serving import run_simple
from werkzeug.middleware.dispatcher import DispatcherMiddleware

import numpy as np
import json



from functools import lru_cache
from os.path import dirname, join

import numpy as np

import pandas as pd

#from bokeh.io import curdoc
#from bokeh.layouts import column, row
from bokeh.models import ColumnDataSource, PreText, Select

import json

app = Flask(__name__)

app.debug = True
app.config['SECRET_KEY'] = 'xxxxx'
toolbar = DebugToolbarExtension()
toolbar.init_app(app)



tools = 'pan,wheel_zoom,xbox_select,reset'

TOOLTIPS = [
    ("index", "$index"),
    ("(x,y)", "($x, $y)"),
    # ("desc", "@desc"),
]

DATA_DIR = join(dirname(__file__), 'daily')

DEFAULT_TICKERS = ['AAPL', 'GOOG', 'INTC', 'BRCM', 'YHOO']

def nix(val, lst):
    return [x for x in lst if x != val]

@lru_cache()
def load_ticker(ticker):
    fname = join(DATA_DIR, 'table_%s.csv' % ticker.lower())
    data = pd.read_csv(fname, header=None, parse_dates=['date'],
                       names=['date', 'foo', 'o', 'h', 'l', 'c', 'v'])
    data = data.set_index('date')
    return pd.DataFrame({ticker: data.c, ticker+'_returns': data.c.diff()})

@lru_cache()
def get_data(t1, t2):
    df1 = load_ticker(t1)
    df2 = load_ticker(t2)
    data = pd.concat([df1, df2], axis=1)
    data = data.dropna()
    data['t1'] = data[t1]
    data['t2'] = data[t2]
    data['t1_returns'] = data[t1+'_returns']
    data['t2_returns'] = data[t2+'_returns']
    return data



# set up callbacks

def ticker1_change(attrname, old, new):
    ticker2.options = nix(new, DEFAULT_TICKERS)
    update()

def ticker2_change(attrname, old, new):
    ticker1.options = nix(new, DEFAULT_TICKERS)
    update()

def update(source,source_static,stats, ticker1, ticker2,corr, ts1, ts2,selected=None):
    t1, t2 = ticker1.value, ticker2.value

    df = get_data(t1, t2)
    data = df[['t1', 't2', 't1_returns', 't2_returns']]
    source.data = data
    source_static.data = data

    update_stats(stats,df, t1, t2)

    corr.title.text = '%s returns vs. %s returns' % (t1, t2)
    ts1.title.text, ts2.title.text = t1, t2

def update_stats(stats,data, t1, t2):
    stats.text = str(data[[t1, t2, t1+'_returns', t2+'_returns']].describe())



def selection_change(attrname, old, new):
    t1, t2 = ticker1.value, ticker2.value
    data = get_data(t1, t2)
    selected = source.selected.indices
    if selected:
        data = data.iloc[selected, :]
    update_stats(data, t1, t2)
    


def init_data():
  
  
  source = ColumnDataSource(data=dict(date=[], t1=[], t2=[], t1_returns=[], t2_returns=[]))
  source_static = ColumnDataSource(data=dict(date=[], t1=[], t2=[], t1_returns=[], t2_returns=[]))
  # set up widgets

  stats = PreText(text='', width=500)
  ticker1 = Select(value='AAPL', options=nix('GOOG', DEFAULT_TICKERS))
  ticker2 = Select(value='GOOG', options=nix('AAPL', DEFAULT_TICKERS))

  ticker1.on_change('value', ticker1_change)
  ticker2.on_change('value', ticker2_change)    
  
  # set up plots  

  source.selected.on_change('indices', selection_change)


  corr = figure(width=350, height=350,
                tools='pan,wheel_zoom,box_select,reset', tooltips=TOOLTIPS, name='CORR')
  corr.circle('t1_returns', 't2_returns', size=2, source=source,
              selection_color="orange", alpha=0.6, nonselection_alpha=0.1, selection_alpha=0.4)

  ts1 = figure(width=900, height=200, tools=tools, x_axis_type='datetime', active_drag="xbox_select", tooltips=TOOLTIPS, name='TS1')

  # For the lines below: I get  # 
  # - if data source is different, everything is ok, 
  # - if datas are yet loaded in the figure : "RuntimeError: Models must be owned by only a single document, Selection(id='1043', ...) is already in a doc"
  ts1.line('date', 't1', source=source_static)
  ts1.circle('date', 't1', size=1, source=source_static, color=None, selection_color="orange")

  ts2 = figure(width=900, height=200, tools=tools, x_axis_type='datetime', active_drag="xbox_select", tooltips=TOOLTIPS, name='TS2')

  #logger.info(repr( ts1.x_range))

  ts2.x_range = ts1.x_range
  ts2.line('date', 't2', source=source_static)
  ts2.circle('date', 't2', size=1, source=source, color=None, selection_color="orange")


  ts2.vbar(x='date', top='t1', source=source_static,width = .9)
  return source,source_static,stats, ticker1, ticker2,corr, ts1, ts2
  
  # cwidgets = column(ticker1, ticker2, stats)
  # cmain_row = row(corr, widgets)
  # cseries = column(ts1, ts2)
  # clayout = column(main_row, series)

  # curdoc().add_root(layout)
  # curdoc().title = "Stocks"
  

@app.route('/stock1')
def stock1():
     
    fig = figure(plot_width=600, plot_height=600)
    fig.vbar(
        x=[1, 2, 3, 4],
        width=0.5,
        bottom=0,
        top=[1.7, 2.2, 4.6, 3.9],
        color='navy'
    )

    source,source_static,stats, ticker1, ticker2,corr, ts1, ts2= init_data()
    # initialize
    update(source,source_static,stats, ticker1, ticker2,corr, ts1, ts2)

    # grab the static resources
    js_resources = INLINE.render_js()
    css_resources = INLINE.render_css()

    # render template

    script01, div01 = components(ticker1)
    script02, div02 = components(ticker2)
    script00, div00 = components(stats)

    script0, div0 = components(corr)

    script1, div1 = components(ts1)
    """           
    script2, div2 = components(ts2)
    """
    
    html = render_template(
        'index2.html',

        plot_script01=script01,
        plot_div01=div01,
      
        plot_script02=script02,
        plot_div02=div02,
      
        plot_script00=script00,
        plot_div00=div00,
      
       
        plot_script0=script0,
        plot_div0=div0,

        plot_script1=script1,
        plot_div1=div1,
      
        # plot_script2=script2,
        # plot_div2=div2,
        
      
        js_resources=js_resources,
        css_resources=css_resources,
    )
    return (html)

  


if __name__ == '__main__':
    PORT = 5007
    app.run(host='0.0.0.0', port=PORT, debug=True)

index2.html

<!doctype html>
<html lang="en">
  <head>
    <meta charset="utf-8">
    <meta http-equiv="content-type" content="text/html; charset=utf-8">
    <title>Embed Demo</title>
    {{ js_resources|indent(4)|safe }}
    {{ css_resources|indent(4)|safe }}
    
    {{ plot_script00|indent(4)|safe }}
    {{ plot_script01|indent(4)|safe }}    
    {{ plot_script02|indent(4)|safe }}     

    {{ plot_script0|indent(4)|safe }}
       
    {{ plot_script1|indent(4)|safe }}    
    {# 
    {{ plot_script2|indent(4)|safe }}    
    
    #}
  </head>
  <body>

    {{ plot_div01|indent(4)|safe }}
    {{ plot_div02|indent(4)|safe }}        
    {{ plot_div00|indent(4)|safe }}    
    
    
    {{ plot_div0|indent(4)|safe }}

    {{ plot_div1|indent(4)|safe }}
    {# 
    {{ plot_div2|indent(4)|safe }}    
    #}
  </body>
</html>

标签： pythonflaskbokehvuejs3vuex4

Answer 1

这是一个import bokeh没有外部散景服务器和 vue (vue3,vuex4, composition-api) 的 POC，因为我没有找到满足我需要的教程。

有 2 个散景图由套索 通过python与python链接js_on_change() ，生成一个带有inside的 js 脚本。components({})Bokeh.embed.embed_items()

• 烧瓶

  • api数据
  • api Python散景函数

• VueJs

  • 视图 3
  • Vuex 4
  • 通过 API 组合管理列表中的数据反馈<ol> <li>和模板视图中的 2 个散景图

查看https://github.com/philibe/FlaskVueBokehPOC以获取源代码详细信息。

导入问题

由于discourse.bokeh.org: Node12 import error bokeh 2.0我window.Bokeh. ... 在frontend/src/pages/ProdSinusPage.vue.

我看过这个 Github 问题 #10658（打开）：[FEATURE] Target ES5/ES6 with BokehJS。

最后我输入<script src="/static/plugins_node_modules/@bokeh/bokehjs/build/js/bokeh.min.js"></script>了frontend/public/index.html这个脚本 url 而不是window.Bokeh. ....frontend/src/pages/ProdSinusPage.vue

链接

• https://docs.bokeh.org/en/latest/docs/user_guide/interaction/callbacks.html
• https://docs.bokeh.org/en/latest/docs/user_guide/embed.html
• Flask + Bokeh AjaxDataSource
• https://discourse.bokeh.org/t/node12-import-error-bokeh-2-0/5061
• https://github.com/bokeh/bokeh/issues/10658
• 如何存储 Node.js 部署设置/配置文件？
• 在 Vue.js 中使用环境变量
• https://github.com/vuejs/vuex/tree/4.0/examples/composition/shopping-cart
• https://www.digitalocean.com/community/tutorials/how-to-build-a-shopping-cart-with-vue-3-and-vuex
• https://github.com/vuejs/vuex/tree/4.0/examples/composition
• https://www.codimth.com/blog/web/vuejs/how-use-composition-api-vuejs-3
• https://markus.oberlehner.net/blog/vue-3-composition-api-vs-options-api/

代码摘要

服务器/config.py

SECRET_KEY = 'GITHUB6202f13e27c5'
PORT_FLASK_DEV = 8071
PORT_FLASK_PROD = 8070
PORT_NODE_DEV = 8072

服务器/app.py

from flask import (
    Flask,
    jsonify,
    request,
    render_template,
    flash,
    redirect,
    url_for,
    session,
    send_from_directory,
    # abort,
)

from bokeh.layouts import row, column, gridplot, widgetbox

from flask_cors import CORS
import uuid
import os


from bokeh.embed import json_item, components
from bokeh.plotting import figure, curdoc
from bokeh.models.sources import AjaxDataSource, ColumnDataSource


from bokeh.models import CustomJS

# from bokeh.models.widgets import Div

bokeh_tool_tips = [
    ("index", "$index"),
    ("(x,y)", "($x, $y)"),
    # ("desc", "@desc"),
]

bokeh_tool_list = ['pan,wheel_zoom,lasso_select,reset']

import math
import json


from flask_debugtoolbar import DebugToolbarExtension

from werkzeug.utils import import_string

from werkzeug.serving import run_simple
from werkzeug.middleware.dispatcher import DispatcherMiddleware


def create_app(PROD, DEBUG):

    app = Flask(__name__)

    app.dir_app = os.path.abspath(os.path.dirname(__file__))
    app.app_dir_root = os.path.dirname(app.dir_app)
    app.app_dir_nom = os.path.basename(app.dir_app)

    print(app.dir_app)
    print(app.app_dir_root)
    print(app.app_dir_nom)

    if not PROD:
        CORS(app, resources={r'/*': {'origins': '*'}})
        template_folder = '../frontend/public'
        static_url_path = 'static'
        static_folder = '../frontend/public/static'

    else:
        template_folder = '../frontend/dist/'
        static_url_path = 'static'
        static_folder = '../frontend/dist/static'

    app.template_folder = template_folder
    app.static_url_path = static_url_path
    app.static_folder = static_folder

    # à rajouter
    # app.wsgi_app = ReverseProxied(app.wsgi_app, script_name='/' + app.app_dir_nom)

    app.debug = DEBUG

    app.config.from_pyfile('config.py')
    if DEBUG:
        toolbar = DebugToolbarExtension()
        toolbar.init_app(app)

    @app.before_first_request
    def initialize():
        session.clear()
        if not session.get('x'):
            session['x'] = 0
        if not session.get('y'):
            session['y'] = 0
        if not session.get('HistoryArray'):
            session['HistoryArray'] = [{'x': None, 'y': None}]

    @app.route('/')
    def index():
        VariableFlask = 'VariableFlaskRendered'
        return render_template('index.html', VariableFlask=VariableFlask)

    @app.route('/favicon.ico')
    def favicon():
        return send_from_directory(os.path.join(app.root_path, 'static'), 'favicon.ico', mimetype='image/x-icon')

    @app.route('/static/plugins_node_modules/<path:path>')
    def send_plugins_(path):
        print(app.app_dir_root)
        print(os.path.join(app.app_dir_root, 'frontend', 'node_modules'))
        return send_from_directory((os.path.join(app.app_dir_root, 'frontend', 'node_modules')), path)

    # https://stackoverflow.com/questions/37083998/flask-bokeh-ajaxdatasource
    # https://github.com/bokeh/bokeh/blob/main/examples/embed/json_item.py

    @app.route("/api/datasinus/<operation>", methods=['GET', 'POST'])
    def get_x(operation):
        if not session.get('x'):
            session['x'] = 0
        if not session.get('y'):
            session['y'] = 0
        if not session.get('HistoryArray'):
            session['HistoryArray'] = [{'x': None, 'y': None}]

        # global x, y
        if operation == 'increment':
            session['x'] = session['x'] + 0.1

        session['y'] = math.sin(session['x'])

        if operation == 'increment':
            session['HistoryArray'].append({'x': session['x'], 'y': session['y']})
            return jsonify(x=[session['x']], y=[session['y']])
        else:
            response_object = {'status': 'success'}
            # malist[-10:] last n elements
            # malist[::-1] reversing using list slicing
            session['HistoryArray'] = session['HistoryArray'][-10:]
            response_object['sinus'] = session['HistoryArray'][::-1]
            return jsonify(response_object)

    @app.route("/api/bokehinlinejs", methods=['GET', 'POST'])
    def simple():
        streaming = True

        s1 = AjaxDataSource(data_url="/api/datasinus/increment", polling_interval=1000, mode='append')

        s1.data = dict(x=[], y=[])

        s2 = ColumnDataSource(data=dict(x=[], y=[]))

        s1.selected.js_on_change(
            'indices',
            CustomJS(
                args=dict(s1=s1, s2=s2),
                code="""
            var inds = cb_obj.indices;
            var d1 = s1.data;
            var d2 = s2.data;
            d2['x'] = []
            d2['y'] = []
            for (var i = 0; i < inds.length; i++) {
                d2['x'].push(d1['x'][inds[i]])
                d2['y'].push(d1['y'][inds[i]])
            }
            s2.change.emit();
            
            """,
            ),
        )

        p1 = figure(
            x_range=(0, 10),
            y_range=(-1, 1),
            plot_width=400,
            plot_height=400,
            title="Streaming, take lasso to copy points (refresh after)",
            tools=bokeh_tool_list,
            tooltips=bokeh_tool_tips,
            name="p1",
        )
        p1.line('x', 'y', source=s1, color="blue", selection_color="green")
        p1.circle('x', 'y', size=1, source=s1, color=None, selection_color="red")

        p2 = figure(
            x_range=p1.x_range,
            y_range=(-1, 1),
            plot_width=400,
            plot_height=400,
            tools=bokeh_tool_list,
            title="Watch here catched points",
            tooltips=bokeh_tool_tips,
            name="p2",
        )
        p2.circle('x', 'y', source=s2, alpha=0.6)

        response_object = {}
        response_object['gr'] = {}

        script, div = components({'p1': p1, 'p2': p2}, wrap_script=False)
        response_object['gr']['script'] = script
        response_object['gr']['div'] = div
        return response_object

    return app


if __name__ == '__main__':
    from argparse import ArgumentParser

    parser = ArgumentParser()
    parser.add_argument('--PROD', action='store_true')
    parser.add_argument('--DEBUG', action='store_true')
    args = parser.parse_args()

    DEBUG = args.DEBUG
    PROD = args.PROD

    print('DEBUG=', DEBUG)
    print('PROD=', PROD)

    app = create_app(PROD=PROD, DEBUG=DEBUG)

    if not PROD:
        PORT = app.config["PORT_FLASK_DEV"]
    else:
        PORT = app.config["PORT_FLASK_PROD"]

    if DEBUG:
        app.run(host='0.0.0.0', port=PORT, debug=DEBUG)

    else:
        from waitress import serve

        serve(app, host="0.0.0.0", port=PORT)

前端/src/main.js

import { createApp, prototype } from "vue";
import store from "@/store/store.js";
import App from "@/App.vue";
import router from "@/router/router.js";
import "./../node_modules/bulma/css/bulma.css";

// https://v3.vuejs.org/guide/migration/filters.html#migration-strategy
// "Filters are removed from Vue 3.0 and no longer supported"
// Vue.filter('currency', currency)

const app = createApp(App).use(store).use(router);

app.mount("#app");

前端/src/pages/ProdSinusPage.vue

<style>
  [..]
</style>
<template>
  <div class="row" style="width: 60%">
    <div id="bokeh_ch1" class="column left"></div>
    <div class="column middle">
      <ul>
        <li v-for="data in datasinus" :key="data.x">
          [[ currency(data.x,'',2) ]] - [[currency(data.y,'',2) ]]
        </li>
      </ul>
    </div>
    <div id="bokeh_ch2" class="column right"></div>
  </div>
</template>

<script setup>
// https://v3.vuejs.org/api/sfc-script-setup.html
import { computed, onBeforeUnmount } from "vue";
import { useStore } from "vuex";
import { currency } from "@/currency";

//https://github.com/vuejs/vuex/tree/4.0/examples/composition/shopping-cart

const store = useStore();

const bokehinlinejs = computed(() => store.state.modprodsinus.bokehinlinejs);

async function get1stJsonbokeh() {
  const promise = new Promise((resolve /*, reject */) => {
    setTimeout(() => {
      return resolve(bokehinlinejs.value);
    }, 1001);
  });
  let result = await promise;

  var temp1 = result.gr;
  document.getElementById("bokeh_ch1").innerHTML = temp1.div.p1;
  document.getElementById("bokeh_ch2").innerHTML = temp1.div.p2;
  eval(temp1.script);
}
get1stJsonbokeh();

var productCheckInterval = null;
const datasinus = computed(() => store.state.modprodsinus.datasinus);

//console.log(datasinus)

async function getDataSinusPolling() {
  const promise = new Promise((resolve /*, reject */) => {
    setTimeout(() => {
      resolve(datasinus);
    }, 1001);
  });
  let result = await promise;

  clearInterval(productCheckInterval);
  productCheckInterval = setInterval(() => {
    store.dispatch("modprodsinus/GetDataSinus");
    //console.log(productCheckInterval)
  }, 1000);
}

getDataSinusPolling();

const beforeDestroy = onBeforeUnmount(() => {
  clearInterval(productCheckInterval);
  console.log("beforeDestroy");
});

store.dispatch("modprodsinus/GetBokehinlinejs");
</script>

前端/src/api/apisinus.js

import axios from "axios";

export default {
  apiGetBokehinlinejs(callback) {
    axios
      .get("/api/bokehinlinejs")
      .then((response) => {
        console.log(response.data);
        callback(response.data);
      })
      .catch((err) =>
        console.log(
          (process.env.NODE_ENV || "dev") == "build"
            ? err.message
            : JSON.stringify(err)
        )
      );
  },
  apiGetDatasinus(callback) {
    axios
      .get("/api/datasinus/read")
      .then((response) => {
        //console.log(response.data)
        callback(response.data.sinus);
      })
      .catch((err) =>
        console.log(
          (process.env.NODE_ENV || "dev") == "build"
            ? err.message
            : JSON.stringify(err)
        )
      );
  },
};

前端/src/store/modules/modprodsinus/modprodsinus.js

import apisinus from "@/api/apisinus.js";

// initial state
const state = {
  bokehinlinejs: [],
  datasinus: [],
};

const getters = {
  datasinus: (state) => {
    return state.datasinus;
  },
};

// https://github.com/vuejs/vuex/tree/4.0/examples/composition/shopping-cart

// actions
const actions = {
  GetBokehinlinejs({ commit }) {
    apisinus.apiGetBokehinlinejs((bokehinlinejs) => {
      commit("setBokehinlinejs", bokehinlinejs);
    });
  },
  GetDataSinus({ commit }) {
    apisinus.apiGetDatasinus((datasinus) => {
      commit("setDataSinus", datasinus);
    });
  },
};

// mutations
const mutations = {
  setBokehinlinejs(state, bokehinlinejs) {
    state.bokehinlinejs = bokehinlinejs;
  },
  setDataSinus(state, datasinus) {
    state.datasinus = datasinus;
  },
};

const modprodsinus = {
  namespaced: true,
  state,
  getters,
  actions,
  mutations,
};

export default modprodsinus;

前端/src/router/router.js

import { createRouter, createWebHistory } from "vue-router";
import Home from "@/pages/Home.vue";
import About from "@/pages/About.vue";
import About2Comp from "@/pages/About2Comp.vue";

import prodsinuspage from "@/pages/ProdSinusPage.vue";

const routes = [
  {
    path: "/",
    name: "Home",
    component: Home,
  },
  {
    path: "/about",
    name: "About",
    component: About,
  },
  {
    path: "/about2",
    name: "About2",
    component: About2Comp,
  },
  {
    path: "/prodsinuspage",
    name: "prodsinuspage",
    component: prodsinuspage,
  },
];

const router = createRouter({
  history: createWebHistory(process.env.BASE_URL),
  routes,
});

export default router;

前端/src/store/store.js

import { createStore } from "vuex";
import modprodsinus from "./modules/modprodsinus/modprodsinus.js";

// https://www.digitalocean.com/community/tutorials/how-to-build-a-shopping-cart-with-vue-3-and-vuex

export default createStore({
  modules: {
    modprodsinus,
  },
});

前端/ package.json, vue_node_serve.js,vue_node_build.js

package.json:
{
  "name": "frontend",
  "version": "0.1.0",
  "private": true,
  "scripts": {
    "serve": "NODE_ENV='dev' node vue_node_serve.js ",
    "build": "NODE_ENV='build' node vue_node_build.js ",
    "lint": "vue-cli-service lint"
  },
[..]
frontend/vue_node_serve.js:
const config = require("./config");

require("env-dot-prop").set("CONFIG.PORTFLASK", config.port_flask);
require("env-dot-prop").set("CONFIG.PORTNODEDEV", config.port_node_dev);
require("child_process").execSync(
  "vue-cli-service serve --port " + config.port_node_dev,
  { stdio: "inherit" }
);
frontend/vue_node_build.js:
const config = require("./config");
require("env-dot-prop").set("CONFIG.PORTFLASK", config.port_flask);
require("child_process").execSync("vue-cli-service build", {
  stdio: "inherit",
});

前端/vue.config.js

// https://stackoverflow.com/questions/50828904/using-environment-variables-with-vue-js/57295959#57295959
// https://www.fatalerrors.org/a/vue3-explains-the-configuration-of-eslint-step-by-step.html

const webpack = require("webpack");

const env = process.env.NODE_ENV || "dev";

const path = require("path");

module.exports = {
  indexPath: "index.html",
  assetsDir: "static/app/",

  configureWebpack: {
    resolve: {
      extensions: [".js", ".vue", ".json", ".scss"],
      alias: {
        styles: path.resolve(__dirname, "src/assets/scss"),
      },
    },
    plugins: [
      new webpack.DefinePlugin({
        // allow access to process.env from within the vue app
        "process.env": {
          NODE_ENV: JSON.stringify(env),
          CONFIG_PORTFLASK: JSON.stringify(process.env.CONFIG_PORTFLASK),
          CONFIG_PORTNODEDEV: JSON.stringify(process.env.CONFIG_PORTNODEDEV),
        },
      }),
    ],
  },

  devServer: {
    watchOptions: {
      poll: true,
    },
    proxy: {
      "/api": {
        target: "http://localhost:" + process.env.CONFIG_PORTFLASK + "/",
        changeOrigin: true,
        pathRewrite: {
          "^/api": "/api",
        },
      },

      "/static/plugins_node_modules": {
        target: "http://localhost:" + process.env.CONFIG_PORTFLASK + "/",
        changeOrigin: true,
        pathRewrite: {
          "^/static/plugins_node_modules": "/static/plugins_node_modules/",
        },
      },
    },
  },

  chainWebpack: (config) => {
    config.module
      .rule("vue")
      .use("vue-loader")
      .loader("vue-loader")
      .tap((options) => {
        options.compilerOptions = {
          delimiters: ["[[", "]]"],
        };
        return options;
      });
  },

  lintOnSave: true,
};

// https://prettier.io/docs/en/install.html
// https://www.freecodecamp.org/news/dont-just-lint-your-code-fix-it-with-prettier/

前端/config.js

// https://stackoverflow.com/questions/5869216/how-to-store-node-js-deployment-settings-configuration-files
// https://stackoverflow.com/questions/41767409/read-from-file-and-find-specific-lines/41767642#41767642

function getValueByKey(text, key) {
  var regex = new RegExp("^" + key + "\\s{0,1}=\\s{0,1}(.*)$", "m");
  var match = regex.exec(text);
  if (match) {
    return match[1];
  } else {
    return null;
  }
}

function getValueByKeyInFilename(key, filename) {
  return getValueByKey(
    require("fs").readFileSync(filename, { encoding: "utf8" }),
    key
  );
}

const python_config_filename = "../server/config.py";

const env = process.env.NODE_ENV || "dev";

var config_temp = {
  dev: {
    port_flask: getValueByKeyInFilename(
      "PORT_FLASK_DEV",
      python_config_filename
    ),
    port_node_dev: getValueByKeyInFilename(
      "PORT_NODE_DEV",
      python_config_filename
    ),
  },
  build: {
    port_flask: getValueByKeyInFilename(
      "PORT_FLASK_PROD",
      python_config_filename
    ),
  },
};
var config = {
  ...config_temp[env],
};

module.exports = config;