115 lines
4.2 KiB
Python
115 lines
4.2 KiB
Python
from datetime import datetime
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import urllib.request
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import xml.etree.ElementTree as ET
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"""
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this method calls a rss/XML Resource
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of Currency's and parses it to our
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needed exchange rate values.
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The return is a dictionary carring
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Key:Value pairs of new currencys.
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"""
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def get_rss(url):
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urlsocket = ''
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try:
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urlsocket = urllib.request.urlopen(url)
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return(urlsocket)
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except urllib.error.URLError as e:
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print('err: urllib.request.urlopen: ', e.reason)
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def parse_rss(urlsocket):
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rss_tree = ''
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if urlsocket:
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root = ET.parse(urlsocket)
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rss_tree = ET.ElementTree(root)
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return(rss_tree)
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def pass_local_file():
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rss_tree = ET.ElementTree(file='rss')
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return(rss_tree)
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def get_exchange_rate(rss_tree, ns):
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# Pathvariables to XML Namespaces with
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rate_path = 'cb:statistics/cb:exchangeRate/'
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observation_path = 'cb:statistics/cb:exchangeRate/cb:observation/'
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exchange_rates = []
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for item in rss_tree.findall('none:item', ns):
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datetime_str = item.find('dc:date', ns).text
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try:
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date = datetime.strptime(''.join(
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datetime_str.rsplit(':', 1)),
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"%Y-%m-%dT%H:%M:%S%z").strftime(
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"%Y-%m-%d")
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except Exception as e:
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print('%s (%s)' % (e, type(e)))
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try:
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date = datetime.strptime(''.join(
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datetime_str.rsplit(':', 1)),
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"%Y-%m-%dT%H:%M:%S.%f%z").strftime(
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"%Y-%m-%d")
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continue
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except Exception as e:
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print('%s (%s)' % (e, type(e)))
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continue
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# now search for the currency exchange rate:
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target_currency = item.find(rate_path +
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'cb:targetCurrency', ns).text
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value = float(item.find(observation_path +
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'cb:value', ns).text)
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value = float(value) # convert to float
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foreign_value = value # copy to new value to have both.
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if item.find(observation_path + 'cb:unit_mult', ns) is None:
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# because it's dangerous to check for present,
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# i check for none here and have to set the target
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# to 1. as im multiplying it later.
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unit_mult = float("1.0")
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else:
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# shift left by 2 digits with "/"
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# https://stackoverflow.com/questions/8362792/
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# because some currencys differ widly from CHF
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unit_mult = item.find(observation_path +
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'cb:unit_mult', ns).text
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# unit_mult defaults to '0' so we check for 8 decimal
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# values (2..-6) they represent the fracton value to
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# calculate the correct decimalpoint.
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if unit_mult == '2': # thinking of Bitcoins
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unit_mult = '0.01'
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if unit_mult == '1':
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unit_mult = '0.10'
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if unit_mult == '-1':
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unit_mult = '10'
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if unit_mult == '-2': # Japan Yen
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unit_mult = '100'
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if unit_mult == '-3':
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unit_mult = '1000'
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if unit_mult == '-4':
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unit_mult = '10000'
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if unit_mult == '-5':
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unit_mult = '100000'
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if unit_mult == '-6': # indian rupies
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unit_mult = '1000000'
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unit_mult = float(unit_mult) # convert to float
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# calculate the Currency to CHF:
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foreign_value = 1 / value
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foreign_value *= unit_mult
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value = value / unit_mult
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# truncate it to decimal values provided by the xml:
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foreign_value_round = round(foreign_value, 5)
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# Print nice setup of all calculated currencys for development:
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# print("date:", date, " 1 ", target_currency, " costs: ",
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# CHFvalue, "CHF and 1 ", base_currency, " costs: ",
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# FOREIGNvalue_round, target_currency)
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data = [{'date': date,
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'currency': target_currency,
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'exchangerate': foreign_value_round}]
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exchange_rates.append(data)
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# Print the Dictionary:
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return(exchange_rates)
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