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”
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【中文标题】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”【英文标题】：Flask with `import bokeh` with 2 bokeh graphs without external bokeh server and not "Models must be owned by only a single document" 【发布时间】：2021-09-14 09:26:37 【问题描述】：TL;DR
我是散景的初学者。
我已经阅读了 https://docs.bokeh.org 或 *** 和 github 中的其他示例，但我没有在 Flask 中找到带有 import bokeh 的示例，其中有 2 个没有外部散景服务器的散景图，而不是“模型必须仅由单个文档拥有"
所有示例或教程均适用于 Flask 中嵌入的散景服务器或散景服务器。
09/09/2021：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，但是我在转换为带有 import bokeh 的 Flask 时遇到了问题，其中包含 2 个没有外部散景服务器的散景图，而不是“必须拥有模型”仅通过一个文档”
download_sample_data.py 以获取数据。）
这个问题的预期答案最终是在 Flask 中有一个带有 import bokeh 的示例，带有 2 个没有外部散景服务器的散景图，而不是“模型必须仅由单个文档拥有”
经过我修改的初始散景服务器示例：它可以工作。
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"
Bokeh 服务器源（严重）转换为带有 import bokeh 的 Flask，带有 2 个 bokeh 图，没有外部 bokeh 服务器，而不是“模型必须仅由单个文档拥有”
python app_so.py -> http://192.168.1.xxx:5007/stock1
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，Js 回调对于散景是强制性的吗？
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 回调可以用于独立输出。更多 有关使用 Bokeh 进行 JavaScript 回调的信息，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>
【问题讨论】：
【参考方案1】：这是一个带有 import bokeh 的 POC，没有外部散景服务器和 vue (vue3,vuex4, composition-api)，因为我没有找到适合我需要的教程。
有 2 个散景图通过套索链接到 python js_on_change()
通过python components() which generate a js script with Bokeh.embed.embed_items() inside。
烧瓶
api 数据 api Python Bokeh 函数VueJs
Vue 3 vuex 4 通过 API 组合管理<ol> <li> 列表中的数据反馈和模板视图中的 2 个散景图
查看https://github.com/philibe/FlaskVueBokehPOC 了解源代码详情。
导入问题
由于discourse.bokeh.org: Node12 import error bokeh 2.0，我在frontend/src/pages/ProdSinusPage.vue 中通过DOM javascript window.Bokeh. ... 调用bokehjs。
我看过这个 Github 问题 #10658（已打开）：[FEATURE] Target ES5/ES6 with BokehJS 。
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 How to store Node.js deployment settings/configuration files? Using Environment Variables with Vue.js 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
server/config.py
SECRET_KEY = 'GITHUB6202f13e27c5'
PORT_FLASK_DEV = 8071
PORT_FLASK_PROD = 8070
PORT_NODE_DEV = 8072
server/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://***.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");
frontend/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;
frontend/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://***.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://***.com/questions/5869216/how-to-store-node-js-deployment-settings-configuration-files
// https://***.com/questions/41767409/read-from-file-and-find-specific-lines/41767642#41767642
function getValueByKey(text, key)
var regex = new RegExp("^" + key + "\\s0,1=\\s0,1(.*)$", "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;
【讨论】：
我已经用session$registerDataObj()（没有 rbokeh 和 shiny.router）在纯 R Shiny 中使用 R Shiny 和散景完成了 POC：）：github.com/philibe/RshinyBokehReticulatePOC
嗨@phili_b，恭喜。我很高兴你能找到解决方案。我将尝试使用 fastapi 和 vuejs 来实现它。
谢谢@William。我很好奇你未来的实施。我去看看。以上是关于带有 `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”的主要内容，如果未能解决你的问题，请参考以下文章