Spaces:
Sleeping
Sleeping
File size: 6,431 Bytes
976166f c8b5a38 976166f c8b5a38 976166f 6eb9bc1 c121d97 c8b5a38 976166f c8b5a38 976166f 6eb9bc1 c8b5a38 6eb9bc1 c8b5a38 6eb9bc1 c8b5a38 976166f 6eb9bc1 976166f c121d97 976166f c121d97 976166f b9d37d3 c121d97 b9d37d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 |
import pytz
import datetime
import io
import pandas as pd
import table_schema as ts
from sqlalchemy import create_engine
db_url = 'sqlite:///instance/local.db'
def clip_df(start, end, df: pd.DataFrame, on='time'):
'''
return a copy of df between start and end date inclusive
'''
return df[df.time.between(start, end, inclusive='both')].copy()
def time_in_beijing(strip_time_zone=True):
'''
return current time in Beijing as datetime object
'''
tz = pytz.timezone('Asia/Shanghai')
dt = datetime.datetime.now(tz)
if strip_time_zone:
dt = dt.replace(tzinfo=None)
return dt
def add_details_to_stock_df(stock_df):
'''return df adding sector, aggregate sector, display_name, name to it
Parameters
----------
stock_df: pd.DataFrame
the dataframe contain ticker columns
Returns
-------
merged_df: pd.DataFrame
the dataframe with sector, aggregate sector, display_name and name added
'''
with create_engine(db_url).connect() as conn:
detail_df = pd.read_sql(ts.STOCKS_DETAILS_TABLE, con=conn)
merged_df = pd.merge(stock_df, detail_df[
['sector', 'name',
'aggregate_sector',
'display_name',
'ticker']
], on='ticker', how='left')
merged_df['aggregate_sector'].fillna('其他', inplace=True)
return merged_df
def convert_string_to_datetime(date_string, time_zone="Asia/Shanghai"):
'''
Convert a string to a datetime object with the timezone by default,
Shanghai
'''
dt = datetime.datetime.strptime(date_string, '%Y-%m-%d %H:%M:%S.%f')
tz = pytz.timezone(time_zone)
dt = tz.localize(dt)
return dt
def create_stocks_entry_from_excel(byte_string):
'''create stock entry from excel file
Parameters
----------
byte_string: bytes
the byte string of the excel file
Returns
-------
new_stock_entry: list
[{ticker:str, shares:int, mean_price: float, date:datetime.datetime}]
the list of stock entry
'''
uploaded_df = None
with io.BytesIO(byte_string) as f:
uploaded_df = pd.read_excel(f, index_col=None)
# throw exception if doesn't have required columns
if not set(['证券代码', '持仓数量', '平均建仓成本', 'time_stamp']).issubset(uploaded_df.columns):
raise Exception('Missing required columns')
# print(uploaded_df)
# uploaded_df = pd.read_excel()
# uploaded_df.drop(columns='Unnamed: 0', inplace=True)
# Define the regular expression pattern to match the string endings
pattern = r'\.(sz|sh)$'
# Define the replacement strings for each match group
replacements = {'.sz': '.XSHE', '.sh': '.XSHG'}
# Use the str.replace method with the pattern and replacements
uploaded_df['证券代码'] = uploaded_df['证券代码'].str.lower()
uploaded_df['证券代码'] = uploaded_df['证券代码'].str.replace(
pattern, lambda m: replacements[m.group()], regex=True)
new_stock_entry = [
dict(ticker=ticker, shares=shares, date=time, mean_price=mean_price)
for ticker, shares, mean_price, time in zip(
uploaded_df['证券代码'],
uploaded_df['持仓数量'],
uploaded_df['平均建仓成本'],
pd.to_datetime(uploaded_df['time_stamp']))]
# new_profile, error = api.update_portfolio_profile(new_stock_entry)
print(new_stock_entry)
return new_stock_entry
def style_number(vals):
'''color negative number as red, positive as green
Parameters
----------
vals: df columns
the columns to be styled
Returns
-------
list
the list of style
'''
return ['color: red' if v < 0 else 'color: green' for v in vals]
def create_share_changes_report(df):
'''Create a markdown report of the share changes for certain date
Parameters
----------
df: pd.DataFrame
the dataframe of profile for a specific date
Returns
-------
markdown: str
'''
date_str = df.date.to_list()[0].strftime('%Y-%m-%d %H:%M:%S')
markdown = f"### {date_str}\n\n"
markdown += 'Ticker | Display Name | Share Changes\n'
markdown += '--- | --- | ---\n'
for _, row in df.iterrows():
share_changes = row['share_changes']
# Apply green color to positive numbers and red color to negative numbers
if share_changes > 0:
share_changes_str = f'<span style="color:green">{share_changes}</span>'
elif share_changes < 0:
share_changes_str = f'<span style="color:red">{share_changes}</span>'
else:
share_changes_str = str(share_changes)
markdown += '{} | {} | {}\n'.format(row['ticker'],
row['display_name'], share_changes_str)
return markdown
def create_html_report(result: list[tuple]):
'''
a flex box with 2 flex item on each row where justified space-between
Parameters
----------
result: list of tuple
(title, value, type)
title: str, title to display
value: any, value to display
type: str, used to format value
Returns
-------
html: str
'''
style = '''
<style>
.compact-container {{
display: flex;
flex-direction: column;
gap: 5px;
}}
.compact-container > div {{
display: flex;
justify-content: space-between;
margin-bottom: 2px;
}}
.compact-container > div > h2,
.compact-container > div > h3,
.compact-container > div > p,
.compact-container > div > ul > li {{
margin: 0;
}}
.compact-container > ul {{
padding: 0;
margin: 0;
list-style-type: none;
}}
.compact-container > ul > li {{
display: flex;
margin-bottom: 2px;
}}
</style>
'''
def _get_color(num):
return 'green' if num >= 0 else 'red'
def _format_percentage_number(num):
return f'{round(num * 100, 2)}%'
def _create_flex_item(result_entry):
key, value, value_type = result_entry
return f"""
<div>
<p style="margin: 0;">{key}</p>
<p style='color: {_get_color(value)}; margin: 0;'>{_format_percentage_number(value)}</p>
</div>
"""
html = f"""
<div class="compact-container">
{''.join([_create_flex_item(entry) for entry in result])}
</div>
"""
return style + html
|