v1.0

v1.0

Author: zhangziliang04

backend/flask/apps/__pycache__/app.cpython-36.pyc

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+from flask import Flask, render_template,jsonify
+from pyecharts import options as opts
+from pyecharts.charts import Map
+from pyecharts.charts import Line
+from pyecharts.globals import ChartType, SymbolType
+from pyecharts.globals import ThemeType
+
+from pyecharts.components import Table
+from pyecharts.options import ComponentTitleOpts
+import json
+
+
+from exam_01 import *
+from exam_02 import *
+from exam_03 import *
+from exam_04 import *
+
+
+app = Flask(__name__, template_folder="../templates", static_folder="../static")
+
+
+# 第二部分：路由配置
+# #############################历史数据查询###########################
+# 01. 页面数据请求服务
+@app.route("/")
+def index():
+    cur = rt_index_base()
+    # return render_template("dashboard.html", curnumber=cur)
+    return render_template("index3.html", curnumber=cur)
+
+
+# 02. 图表数据查询
+@app.route("/histChart")
+def get_hist_order_chart():
+    c = hist_order_base()
+    return c.dump_options_with_quotes()
+
+
+# 03：订单商品构成模型
+# 03-01：页面渲染
+@app.route("/bar")
+def order_bar():
+    cur = rt_index_base()
+    return render_template("index5.html", curnumber=cur)
+
+
+# 03-02：图表数据查询
+@app.route("/barChart")
+def get_order_chart():
+    c = category_order_base()
+    return c.dump_options_with_quotes()
+
+
+# 04：地理位置分布图
+# 04.01 页面渲染
+@app.route("/map")
+def customer_map():
+    cur = rt_index_base()
+    return render_template("index4.html", curnumber=cur)
+
+
+# 04.02 图表数据
+@app.route("/mapChart")
+def get_customer_order_chart():
+    c = customer_order_base()
+    return c.dump_options_with_quotes()
+
+
+# 403错误
+@app.errorhandler(403)
+def miss(e):
+    return render_template('error-403.html'), 404
+
+
+# 404错误
+@app.errorhandler(404)
+def error(e):
+    return render_template('error-404.html'), 500
+
+
+# 500错误
+@app.errorhandler(500)
+def error(e):
+    return render_template('error-500.html'), 500
+
+
+# 主函数
+if __name__ == "__main__":
+    app.run()
+    # 模板更改后立即生效
+    app.jinja_env.auto_reload = True
+    # 代码更改后立即生效
+    app.run(DEBUG=True)   # 1.0以后 debug = true不再支持
+

backend/flask/apps/__pycache__/exam_01.cpython-36.pyc

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+# -*- coding: UTF-8 -*-
+# 案例1：业务逻辑部分
+from data_01 import *
+
+
+# 第一部分：业务逻辑
+# 01. 实时指标监控
+def rt_index_base():
+    paysum = pay_sum_query()
+    ordersum = order_sum_query()
+    inventsum = inventory_sum_query()
+
+    cur = {'paysum' : paysum, 'ordersum': ordersum, 'inventsum': inventsum}
+    return cur
+
+
+# 02：历史数据趋势
+
+

backend/flask/apps/__pycache__/exam_02.cpython-36.pyc

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+# -*- coding: UTF-8 -*-
+from flask import Flask, render_template,jsonify
+from pyecharts import options as opts
+from pyecharts.charts import Map
+from pyecharts.charts import Line
+from pyecharts.globals import ChartType, SymbolType
+from pyecharts.globals import ThemeType
+
+from pyecharts.components import Table
+from pyecharts.options import ComponentTitleOpts
+import json
+
+
+# 案例2：数据逻辑部分
+from data_02 import *
+
+
+# 第一部分：业务逻辑
+# 01. 订单量历史数据变化趋势
+def hist_order_base():
+    dataX, dataY  = order_sum_query()
+    # 订单数据
+    c = (
+        Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
+        .add_xaxis(dataX)
+        .add_yaxis("订单量", dataY, is_smooth=True)
+        .set_global_opts(
+            title_opts=opts.TitleOpts(title="日订单量历史数据趋势图"),
+            yaxis_opts=opts.AxisOpts(
+                type_="value",
+                axistick_opts=opts.AxisTickOpts(is_show=True),
+                splitline_opts=opts.SplitLineOpts(is_show=True),
+            ),
+            xaxis_opts=opts.AxisOpts(type_="category", boundary_gap=False),
+        )
+    )
+    return c
+
+# 02：历史数据趋势
+
+

backend/flask/apps/__pycache__/exam_03.cpython-36.pyc

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+# 案例3：订单商品构成模型
+from pyecharts.charts import Pie
+from pyecharts import options as opts
+
+# 案例3：数据逻辑部分
+from data_03 import *
+
+
+# 业务逻辑
+# 02: 地图渲染
+def category_order_base():
+    dataX, dataY = order_category_sum_query()
+    data_pair = [list(z) for z in zip(dataX, dataY)]
+    # 订单数据
+    c = (
+        Pie()
+        .add("", data_pair)
+        .set_global_opts(
+            title_opts=opts.TitleOpts(title="商品类型构成图"),
+            legend_opts=opts.LegendOpts(
+                orient="vertical",
+                pos_top="15%",
+                pos_right="-4.5%"),
+        )
+        .set_series_opts(label_opts= opts.LabelOpts(formatter="{b}: {c} ({d}%)"),
+                            position="outside",
+                            background_color = "#eee",
+                            border_color="#aaa",
+                            border_width=1,
+                            border_radius=4
+                         )
+            )
+    return c
+

backend/flask/apps/__pycache__/exam_04.cpython-36.pyc

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+# 客户地理位置分布图
+from pyecharts import options as opts
+import pymysql.cursors
+from pyecharts.charts import Map
+
+# 案例4：数据逻辑部分
+from data_04 import *
+
+
+# 02: 地图渲染
+def customer_order_base():
+    dataX, dataY = customer_sum_query()
+    # 订单数据
+    c = (
+        Map(init_opts=opts.InitOpts(width="1200px", height="600px"))
+            .add("", [list(z) for z in zip(dataX, dataY)], "world")
+            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
+            .set_global_opts(title_opts=opts.TitleOpts(title="客户地理位置分布图"),
+                            visualmap_opts=opts.VisualMapOpts(max_=1600, split_number=8, is_piecewise=True)
+                             )
+
+    )
+    return c