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import streamlit as st
import pandas as pd
import numpy as np
import plotly.express as px
import warnings
import re
from zhdate import ZhDate as lunar_date
from typing import Iterable
import streamlit.components.v1 as components
from datetime import datetime
from PIL import Image
warnings.filterwarnings('ignore')
# import plotly.graph_objs as go
# ============================================================================ #
# config #
# ============================================================================ #
st.set_page_config(
page_title="simingyanwebpage",
page_icon="🧊",
layout="centered",
initial_sidebar_state="expanded",
menu_items={
'About': "fyenne@hotmail.com"
}
)
# ============================================================================ #
# main page #
# ============================================================================ #
@st.cache # 👈 Added this
class load_data:
'''
read some data
'''
def __init__(self, df, lunar_today, pltdf):
self.df = pd.DataFrame()
self.lunar_today = ''
self.pltdf = pd.DataFrame()
self.chinese_char_map = {}
df = pd.read_csv('./dataup/base.csv')
lunar_today = re.sub('\D', '', str(lunar_date.from_datetime(datetime.now())))
pltdf = pd.DataFrame(data = {
'main': '八卦',
'wuxing':['金', '金', '火', '火', '木', '木', '土', '土','土', '土', '水', '水'],
'bagua': ['乾','兑','离','离','震','巽','坤','坤','艮','艮','坎','坎'],
'tiangan':['庚', '辛','丙', '丁', '甲', '乙', '戊', '己', '戊', '己', '壬', '癸'],
'dizhi':['申', '酉','巳', '午','寅','卯','辰','戌', '丑', '未', '亥', '子'],
'value1': np.repeat(10, 12).tolist()
})
def plt1():
fig = px.sunburst(load_data.pltdf, path=['main', 'wuxing', 'bagua', 'tiangan', 'dizhi'], values='value1',\
color_discrete_sequence = px.colors.qualitative.Pastel2[0:8]
)
return fig
def count_strokes(words: Iterable) -> int:
"""
统计字符串中所有文字的笔画总数
:param words: 需要统计的字符串
:return: 笔画总数
"""
chinese_char_map = {}
with open('./dataup/chinese_unicode_table.txt', 'r', encoding='UTF-8') as f:
lines = f.readlines()
for line in lines[6:]: # 前6行是表头，去掉
line_info = line.strip().split()
# 处理后的数组第一个是文字，第7个是笔画数量
chinese_char_map[line_info[0]] = line_info[6]
strokes = 0
for word in words:
if 0 <= ord(word) <= 126: # 数字，英文符号范围
strokes += 1
elif 0x4E00 <= ord(word) <= 0x9FA5: # 常用汉字Unicode编码范围4E00-9FA5，20902个字
strokes += int(chinese_char_map.get(word, 1))
else: # 特殊符号字符一律排在最后
strokes += 1
return strokes
st.title('正德佷准')
st.markdown('--- \n > **人工智能和量子物理结合下的优化版梅花易数**\n ---')
add_selectbox = st.sidebar.selectbox(
"In which aspects would you like to know your future?",
("undefined", "money", "love")
)
if add_selectbox == 'undefined':
print('')
with st.container():
# st.write("This is inside the container")
st.plotly_chart(load_data.plt1())
# -----
else:
'今日是农历: %s \
公历 %s'%(load_data.lunar_today, datetime.today().strftime('%Y%m%d'))
dizhi = '酉、戌、亥、子、丑、寅、卯、辰、巳、午、未、申'.split('、')
dict = dict(zip(range(1,13), "子、丑、寅、卯、辰、巳、午、未、申、酉、戌、亥".split('、')))
# st.code()
name = st.text_input('请输入您的姓名')
# st.text()
components.html("<html><body>笔画数:%s</body></html>"%load_data.count_strokes(name),
width=200, height=30)
bdate = st.text_input('请输入您的生日', value = '20220304')
dizhi = dizhi[int(bdate[0:4])%12 - 1]
components.html("<html><body>地支: %s</body></html>"%dizhi,
width=200, height=30)
bt = st.button('测')
if (bt == True) & (name != '') & (int(bdate) < 20220101) & (len(name) < 26):
st.markdown('恭喜您和刘亦菲谈恋爱')
else:
st.text("输入信息有误")
pass
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