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sec_datafabric.py
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sec_datafabric.py
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"""
sec_datafabric.py
Jonathan Poczatek
4/21/2017
"""
# import collections
import json
# from lxml.html import Element, fromstring
# from xmljson import parker, Parker
# from json import dumps
import pandas as pd
import requests
import xmltodict
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
# from bs4 import BeautifulSoup
from datafabric_settings import *
# import xmltodict
# Test if file exists
# def getFeedUrl(cik):
# return "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK={0}&type=10-K&dateb=&owner=exclude&start=0&count=100&output=atom".format(cik)
def getDefaultFeedUrl(cik, start_index=0):
return "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK={0}&type=&dateb=&owner=exclude&count=100&output=atom&start={1}".format(cik, start_index)
# df = pd.read_csv(settings.CIK_LIST_CSV)
# store = pd.HDFStore(settings.LOCAL_HDF)
# lines = []
# map(lambda x: getDefaultFeedUrl(x), lines)
# cik_xml = [{'CIK': cik, 'FEED': getDefaultFeedUrl(cik)} for cik in lines]
# store.put('cik_xml', cik_xml)
def get_cik_list():
with open(CIK_LIST_PRASANNA, 'r', encoding='latin-1') as f:
lines = [x.split(':')[1] for x in f.readlines()]
lines = list(set(lines))
return lines[1:]
def get_next(xmldict):
for x in xmldict['link']:
if x['@rel'] == 'next':
return x.get('@href')
def company_listing_dict(cik):
"""
Returns a fucking parsed dict
"""
# Company Entry Dict Template
company_entry = {'cik': cik, 'entries': []}
# Generate XML Feed URL from CIK
feed_url = getDefaultFeedUrl(cik)
# Download Feed
resp = requests.get(feed_url)
assert resp.status_code == 200
# Parse XML to Dict
raw_dict = xmltodict.parse(
resp.content, encoding="ISO-8859-1", process_namespaces=True, namespaces=NAMESPACES)['feed']
# Obtain Company-Info
assert raw_dict.get('company-info')
company_entry['company-info'] = raw_dict.get('company-info')
# Obtain Entries
assert raw_dict.get('entry')
company_entry['entries'].extend(raw_dict.get('entry'))
page_next_url = get_next(raw_dict)
while page_next_url:
# Download Feed
resp = requests.get(page_next_url)
assert resp.status_code == 200
# Parse XML to Dict
raw_dict = xmltodict.parse(
resp.content, encoding="ISO-8859-1", process_namespaces=True, namespaces=NAMESPACES)['feed']
assert raw_dict.get('entry')
company_entry['entries'].extend(raw_dict.get('entry'))
page_next_url = get_next(raw_dict)
return company_entry
def jsonify_company(company_entry):
entries = json.dumps(company_entry['entries'])
company = json.dumps(company_entry['company-info'])
return {'cik': company_entry['cik'],
'company-info': company,
'entries': entries}
true_index = [12, 56, 140, 158, 167, 177, 183,
244, 338, 342, 350, 361, 371, 394, 453, 496]
testfeeds = ['https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001260507&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000898293&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001102578&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000817632&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001329517&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000351917&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001321544&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000851968&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001101026&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001491419&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000022082&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000832820&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001025148&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000888693&type=&dateb=&owner=exclude&start=0&count=100&output=atom',
'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0000825542&type=&dateb=&owner=exclude&start=0&count=100&output=atom']
testciks = ['0001260507',
'0000898293',
'0001102578',
'0000817632',
'0001329517',
'0000351917',
'0001321544',
'0000851968',
'0001101026',
'0001491419',
'0000022082',
'0000832820',
'0001025148',
'0000888693',
'0000825542'
]
def test_run(cik_list, company_listings):
# ciks = get_cik_list()
# store = pd.HDFStore(LOCAL_HDF)
# company_listings = {}
for cik in cik_list:
print(f'processing {cik}')
listing = company_listing_dict(cik)
company_listings[cik] = jsonify_company(listing)
return company_listings
# store.put('company_listings', company_listings)
store = pd.HDFStore(LOCAL_HDF)
company_listings = {}
test_run(testciks, company_listings)
engine = create_engine('postgresql://flaskapp:hunter2@localhost:5432/flaskapp')
Session = sessionmaker(bind=engine)
session = Session()
# test = xmltodict.parse(requests.get(testfeeds[0]).content)
# len(test['feed']['entry'])
# from xml.etree.ElementTree import fromstring
# def flatten_links(xmldict):
# links = {}
# for x in xmldict['feed']['link']:
# links[x['@rel']] = {
# 'type': x['@type'],
# 'href': x['@href']
# }
# return links
# 'http://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001260507&type=&datea=&dateb=&owner=exclude&count=100&output=atom&start=100'
# xmldict['keys'] ['author', 'company-info', 'entry', 'id', 'link', 'title', 'updated']