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2.0.0
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scoopgracie 2020-04-20 08:35:29 -07:00
parent 86094805e6
commit 6f0d995d14
6 changed files with 77 additions and 151 deletions
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setup.py
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import setuptools import setuptools
with open('README.md', 'r') as fh:
long_description = fh.read() with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup( setuptools.setup(
name='stockquotes', name="stockquotes",
version='1.0.5', version="2.0.0",
description='A simple module for retreiving stock data', description="A simple module for retreiving stock data",
long_description=long_description, long_description=long_description,
long_description_content_type="text/markdown", long_description_content_type="text/markdown",
packages=setuptools.find_packages(), packages=setuptools.find_packages(),
classifiers=[ classifiers=[
"Programming Language :: Python :: 3", "Programming Language :: Python :: 3",
"Operating System :: OS Independent" "Operating System :: OS Independent",
], ],
python_requires='>=3.0' python_requires=">=3.5",
) )

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stockquotes.egg-info/PKG-INFO
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Metadata-Version: 2.1
Name: stockquotes
Version: 1.0.5
Summary: A simple module for retreiving stock data
Home-page: UNKNOWN
License: UNKNOWN
Description: `stockquotes` is a simple Python module for collecting stock quotes and historical data from Yahoo! Finance. It's perfect for developers who can't afford the (often steep) prices charged by many stock data APIs.
# Requirements
* Python 3.6+
* Beautiful Soup 4
# Installation
pip3 install stockquotes
# Usage
First, import the `stockquotes` module.
import stockquotes
To get a stock quote, instantiate a `stockquotes.Stock` object. The only parameter is the ticker symbol to look up.
kroger = stockquotes.Stock('KR')
## Basic data
To get the current price of a share, get the `Stock`'s `currentPrice`.
krogerPrice = kroger.currentPrice
To get the day gain in dollars, get the `Stock`'s `increaseDollars`.
krogerGainDollars = kroger.increaseDollars
The same value as a percent is available in the `increasePercent` property. To indicate losses, these values are negative.
## Historical data
The historical data for a stock can be accessed through the `Stock`'s `historical` property. This is an array of `dict`s, with the first item representing the most recent quote. The `dict`'s `date` property is a `datetime` object representing the date the quote is from. `open` is the opening price for that day. `high` and `low` are the high and low prices, respectively, for that day. `close` and `adjClose` are the closing price. The difference is that `adjClose` is adjusted for splits and dividends, whereas `close` is adjusted only for splits. `volume` is the stock's volume for that day.
# Exceptions
`stockquotes.StockDoesNotExistError` is raised when the stock does not exist.
`stockquotes.NetworkError` is raised when a connection to Yahoo! Finance cannot be established.
# License
Copyright (c) 2019 ScoopGracie. All rights reversed.
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
For more information, please refer to <https://unlicense.org/>
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.0
Description-Content-Type: text/markdown

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stockquotes.egg-info/SOURCES.txt
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README.md
setup.py
stockquotes/__init__.py
stockquotes/script.py
stockquotes.egg-info/PKG-INFO
stockquotes.egg-info/SOURCES.txt
stockquotes.egg-info/dependency_links.txt
stockquotes.egg-info/top_level.txt

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stockquotes.egg-info/dependency_links.txt
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stockquotes.egg-info/top_level.txt
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stockquotes

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stockquotes/__init__.py
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#!/usr/bin/env python3 #!/usr/bin/env python3
#stockquotes - Python module to pull stock quotes from Yahoo! Finance # stockquotes - Python module to pull stock quotes from Yahoo! Finance
#Copyright 2020 ScoopGracie. All rights reversed. # Copyright 2020 ScoopGracie. All rights reversed.
#This is free and unencumbered software released into the public domain. # This is free and unencumbered software released into the public domain.
#
#Anyone is free to copy, modify, publish, use, compile, sell, or # Anyone is free to copy, modify, publish, use, compile, sell, or
#distribute this software, either in source code form or as a compiled # distribute this software, either in source code form or as a compiled
#binary, for any purpose, commercial or non-commercial, and by any # binary, for any purpose, commercial or non-commercial, and by any
#means. # means.
#
#In jurisdictions that recognize copyright laws, the author or authors # In jurisdictions that recognize copyright laws, the author or authors
#of this software dedicate any and all copyright interest in the # of this software dedicate any and all copyright interest in the
#software to the public domain. We make this dedication for the benefit # software to the public domain. We make this dedication for the benefit
#of the public at large and to the detriment of our heirs and # of the public at large and to the detriment of our heirs and
#successors. We intend this dedication to be an overt act of # successors. We intend this dedication to be an overt act of
#relinquishment in perpetuity of all present and future rights to this # relinquishment in perpetuity of all present and future rights to this
#software under copyright law. # software under copyright law.
#
#THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
#EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
#MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
#IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR # IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
#OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, # OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
#ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR # ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
#OTHER DEALINGS IN THE SOFTWARE. # OTHER DEALINGS IN THE SOFTWARE.
from bs4 import BeautifulSoup as bs from bs4 import BeautifulSoup as bs
import requests import requests
import datetime import datetime
class StockDoesNotExistError(Exception): class StockDoesNotExistError(Exception):
pass pass
class NetworkError(Exception): class NetworkError(Exception):
pass pass
class Stock: class Stock:
def __init__(self, ticker): def __init__(self, ticker):
try: try:
r=requests.get( r = requests.get(
'https://finance.yahoo.com/quote/{}/history'\ "https://finance.yahoo.com/quote/{}/history".format(ticker),
.format(ticker), headers={
headers={ "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3941.4 Safari/537.36"
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64)' + },
' AppleWebKit/537.36 (KHTML, like Gecko)' + )
' Chrome/79.0.3941.4 Safari/537.36'
})
except: except:
raise NetworkError() raise NetworkError()
if r.status_code is 302: if r.status_code is 302:
raise StockDoesNotExistError(ticker) raise StockDoesNotExistError(ticker)
try: try:
soup = bs(r.text, features="lxml") soup = bs(r.text, features="lxml")
self.symbol = soup.h1.string.split('(')[1].split(')')[0] self.symbol = soup.h1.string.split("(")[1].split(")")[0]
self.name = soup.h1.string.split('(')[0].strip() self.name = soup.h1.string.split("(")[0].strip()
rows = soup.table.tbody.find_all('tr') rows = soup.table.tbody.find_all("tr")
self.historical=[] self.historical = []
for i in rows: for i in rows:
row=i.find_all('td') row = i.find_all("td")
try: try:
parsed = { parsed = {
"date" : datetime.datetime.strptime( "date": datetime.datetime.strptime(
row[0].span.string, row[0].span.string, "%b %d, %Y"
'%b %d, %Y'
), ),
"open": float(row[1].span.string.replace(',', '')), "open": float(row[1].span.string.replace(",", "")),
"high": float(row[2].span.string.replace(',', '')), "high": float(row[2].span.string.replace(",", "")),
"low": float(row[3].span.string.replace(',', '')), "low": float(row[3].span.string.replace(",", "")),
"close": float(row[4].span.string.replace(',', '')), "close": float(row[4].span.string.replace(",", "")),
"adjusted_close": float( "adjusted_close": float(
row[5].span.string.replace(',', '')), row[5].span.string.replace(",", "")
"volume": int(row[6].span.string.replace(',', '')) ),
"volume": int(row[6].span.string.replace(",", "")),
} }
except: except:
continue continue
self.historical.append(parsed) self.historical.append(parsed)
top_data = soup.find(id='quote-header-info') top_data = soup.find(id="quote-header-info")
try: try:
self.current_price = float( self.current_price = float(
top_data.findAll('span')[11].string.replace(',', '')) top_data.findAll("span")[11].string.replace(",", "")
raw_change = top_data.findAll('span')[12].string )
raw_change = top_data.findAll("span")[12].string
except IndexError: except IndexError:
self.current_price = float( self.current_price = float(
top_data.findAll('span')[3].string.replace(',', '')) top_data.findAll("span")[3].string.replace(",", "")
raw_change = top_data.findAll('span')[4].string )
raw_change = top_data.findAll("span")[4].string
self.increase_dollars = float( self.increase_dollars = float(
raw_change.split(' ')[0].replace(',', '')) raw_change.split(" ")[0].replace(",", "")
)
self.increase_percent = float( self.increase_percent = float(
raw_change.split(' ')[1]\ raw_change.split(" ")[1]
.replace(',', '')\ .replace(",", "")
.replace('(', '')\ .replace("(", "")
.replace(')', '')\ .replace(")", "")
.replace('%', '')) .replace("%", "")
)
except AttributeError as error: except AttributeError as error:
raise StockDoesNotExistError(ticker) from error raise StockDoesNotExistError(ticker) from error