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list-funds.py
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# coding=utf-8
# generates funds.csv, website/funds.json from baud.bg
from __future__ import print_function
from lxml import html
import requests
from collections import defaultdict
page = requests.get('http://baud.bg/quotes/')
tree = html.fromstring(page.content)
def translate(bg):
unchanged = u'- '
cyr = u"абвгдезийклмнопрстуфхъц"
cyr += cyr.upper()
lat = u"abvgdeziyklmnoprstufhyc"
lat += lat.upper()
complex_map = {u'ю': 'yu', u'я': 'ya', u'ж': 'zh', u'ш': u'sh', u'щ': 'sht', u'ц': 'ts', u'ч': 'ch'}
for k in list(complex_map.keys()):
complex_map[k.upper()] = complex_map[k].upper()
res = ''
# print cyr
for l in bg:
if l in unchanged or re.search('[-a-z0-9]', l ,re.IGNORECASE):
res += l
else:
# print l, cyr.find(l)
try:
res += lat[cyr.index(l)]
except:
if l in complex_map:
res += complex_map[l]
# print res
return res
import re
project_dir = './'
import datetime
import time
def to_date_obj(dashed_date):
return datetime.datetime.strptime(dashed_date,'%Y-%m-%d').date()
def get_fund_filename(lat_name):
return project_dir + 'website/data/' + lat_name + '-daily.csv'
def get_last_csv_row(fund_name):
with open(get_fund_filename(fund_name), 'r') as f:
while True:
ln = f.readline()
if ln:
line = ln
else: break
return line.strip().split(',')
def is_business_day(dt):
return dt.isoweekday()<=5
# is_business_day(dt)
def add_business_days(date, days):
assert days >= 0, 'only positive days supported'
day = datetime.timedelta(days=1)
while days > 0:
if is_business_day(date):
days -= 1
date = date + day
return date
def download_range(fund_id, start_date):
today = datetime.date.today()
url = 'http://baud.bg/quotes/?search_date=' + today.strftime('%d.%m.%Y') + '&start_date=%s'%start_date+\
'&end_date=%s'%today+'¤cy=&companyes=&type=&fond='+fund_id+'&jr='
print('downloading', url)
#print 'DEBUG skipped download'
page = requests.get(url)
tree = html.fromstring(page.content)
fund = parse_fund_div(tree.xpath('..//div[@class="fond_div"]')[0])
assert fund.fund_id == fund_id, 'requested fund_id != delivered fund_id %s, %s'%(fund_id, fund.fund_id)
daily = get_fund_filename(fund.lat_name)
#some quotes are wrong - best visible in charts, make a registry of funds and dates to skip
drop_quotes = defaultdict(set, {11:{'2009-04-21'},40:{'2014-01-22'},41:{'2012-02-07'},54:'2009-08',85:{'2012-12-18'},89:{'2013-04-18'}}) #zeros are significant
drop_quotes[85].add("2012-12-18")
drop_quotes[40].add("2014-01-22")
drop_quotes[37].add("2016-04-08")
with open(daily,'a') as f:
if not f.tell():
f.write('Дата,НСА (общо),НСА (дял),Дялове\n')
print('append ', len(fund.quotes), 'quotes to', daily)
for date, unit_price, mcap in fund.quotes:
#print 'date, unit_price, mcap', date, unit_price, mcap
#zeros in rows http://baud.bg/quotes/?search_date=03.05.2017&start_date=2006-04-17&end_date=2017-05-03¤cy=&companyes=&type=&fond=11&jr=
if mcap != 0 and unit_price !=0 and unit_price < 5000 and unit_price < mcap and str(date) not in drop_quotes[int(fund_id)]:
line = '%s,%.2f,%f,%.2f\n'%(date, mcap, unit_price,mcap/unit_price)
#print line,
f.write('%s,%f,%f,%f\n'%(date, mcap, unit_price,mcap/unit_price))
class Fund():
pass
def parse_fund_div(fund_div):
fund = Fund()
link = fund_div.xpath('a')[0]
fund.fund_id = (re.search('fond=([0-9]+)', link.attrib['href']).group(1)).strip()
fund.bg_name = link.text_content().strip()
#if not bg_name: continue
lat_name = translate(fund.bg_name).strip().replace(' ', '-')
fund.lat_name = re.sub('--+', '-', lat_name)
#get IPO date
#Дата на публично предлагане:
ipo_date = fund_div.xpath(u'.//text()[contains(.,"Дата на публично предлагане")]/following-sibling::strong/text()')[0]
fund.ipo_date = to_date_obj(to_csv_date(ipo_date))
fund.quotes = []
for tr in fund_div.xpath('table/tr[position()>1]'):
cells = list(map(html.HtmlElement.text_content, tr.xpath('td')))
fund.quote_date = to_date_obj(to_csv_date(cells[-1]))
fund.mcap, fund.unit_price = [float(f.split()[0]) for f in cells[-3:-1]]
fund.quotes.append((fund.quote_date, fund.unit_price, fund.mcap))
return fund
def to_csv_date(dotted_date):
return '-'.join(reversed(dotted_date.split('.')))
to_json = []
comma_sep = u''
i = 0
for fund_div in tree.xpath('..//div[@class="fond_div"]'):
fund = parse_fund_div(fund_div)
quote_date = fund.quotes[0][0]
print('downloaded date', quote_date)
try:
last_csv_date = to_date_obj(get_last_csv_row(fund.lat_name)[0])
print('last_csv_date', last_csv_date)
start_date = add_business_days(last_csv_date, 1)
except IOError:
start_date = fund.ipo_date
#print last_csv_date, fund.quote_date
if start_date >= quote_date:
print('no need for ranged request')
else:
print('download from', start_date)
download_range(fund.fund_id, start_date)
print(fund.fund_id, fund.bg_name, fund.lat_name, fund.ipo_date)
comma_sep += fund.fund_id + ',' + fund.bg_name + ',' + fund.lat_name + ',%s'%fund.ipo_date + '\n'
to_json.append((fund.fund_id, fund.bg_name, fund.lat_name, str(fund.ipo_date)))
i += 1
#if i == 30: break
with open(project_dir+'funds.csv', 'wb') as f:
f.write(comma_sep.encode("UTF-8"))
import json
with open('website/funds.json', 'w') as f:
json.dump(to_json, f)
print('wrote funds.csv, website/funds.json')