def main():
if len(sys.argv) != 5:
print("Usage: %s xgappfile source_folder gate_output_folder target_folder" % (sys.argv[0]));
print("Source folder should only contain plaintext profile data for processing");
return
_, xgappfile, source_folder, gate_output_folder, target_folder = sys.argv
xgapp_canonical = os.path.realpath(xgappfile)
src_canonical = os.path.realpath(source_folder)
target_canonical = os.path.realpath(target_folder)
try:
os.makedirs(gate_output_folder)
except:
pass
gateannotator.run_gate_annotator(xgapp_canonical, src_canonical, gate_output_folder)
for infile, outfile in util.traverse_mirror(gate_output_folder, target_folder):
print("*** Converting %s to %s" % (infile, outfile))
xml = ie.convert_file(infile)
with open(outfile, "w") as f:
f.write(xml)
def main():
parser = argparse.ArgumentParser(
description='Searcher, scraper and RDF converter for EuroNext.'
)
subparser = parser.add_subparsers(help='commands', dest='command')
# Search command
search_command = subparser.add_parser('search', help='Search EuroNext website')
search_subcommands = search_command.add_subparsers(help='Search commands', dest='search_subcommand')
search_command.add_argument('-o', dest='output', help='Write search results to file, which can be used as input to the scrape command')
search_command.add_argument('--max-results', default=None, type=int, dest='maxresults', help='Maximum results from search')
keyword_command = search_subcommands.add_parser('keyword', help='Search EuroNext website by keyword')
keyword_command.add_argument('keyword', help='Keyword to search by')
icb_command = search_subcommands.add_parser('icb', help='Search EuroNext website by ICB code')
icb_command.add_argument('icb', help='ICB code to search by (e.g. 7000 will find all matching 7XXX)')
def add_pickle_argument(command):
command.add_argument('--pickle',action='store_true', default=False,
help='Output as pickled objects. Can be converted to RDF using the " + \
"rdfconvert command. Used to allow changes to the RDF format without having to write converters for RDF output files')
def add_extract_profiles_argument(command):
command.add_argument('--extract-profiles', dest='extract_profiles',
help='Extract cp:profile as text files into the given folder, which can then be processed with GATE.')
# Scrape commands
scrapeone_command = subparser.add_parser('scrapeone', help='Scrape a page from EuroNext given ISIN and MIC')
scrapeone_command.add_argument('isin', help='ISIN number of company')
scrapeone_command.add_argument('mic', help='ISO-10383 MIC for company (in URL of source URL)')
scrapeone_command.add_argument('outputfile', help='Path to a writable output file')
add_pickle_argument(scrapeone_command)
scrape_command = subparser.add_parser('scrape', help='Scrape from a file')
scrape_command.add_argument('inputfile', help='Path to file containing space-separated ISINs and MICs, one per line.' + \
" Can be generated with the 'search' command.")
scrape_command.add_argument('outputdir', help='Path to a writeable output directory')
add_pickle_argument(scrape_command)
# rdfconvert command
rdfconvert_command = subparser.add_parser('rdfconvert', help='Convert pickled objects to RDF')
rdfconvert_command.add_argument('inputpath', help='Source file or folder (if --batch)')
rdfconvert_command.add_argument('outputpath', help='Destination file or folder (if --batch)')
rdfconvert_command.add_argument('--batch', action='store_true', default=False, help='Convert all .pickle files recursively in "inputpath"')
extract_profiles_command = subparser.add_parser('extractprofiles',
help='Extract cp:profile as text files into the given folder, which can then be processed with GATE')
extract_profiles_command.add_argument('inputdir', help='Directory containing cp:graphs')
extract_profiles_command.add_argument('outputdir', help='Output directory')
args = parser.parse_args()
if args.command == 'search':
if hasattr(args, 'keyword'):
search(keyword=args.keyword, outputfile=args.output, maxresults=args.maxresults)
elif hasattr(args, 'icb'):
search(icb=args.icb, outputfile=args.output, maxresults=args.maxresults)
elif args.command == 'scrapeone':
scrape(args.isin, args.mic, args.outputfile, args.pickle)
elif args.command == 'scrape':
with open(args.inputfile) as f:
isins_mics = util.read_space_delimited_file(f)
for isin_mic in isins_mics:
extension = 'pickle' if args.pickle else 'n3'
timestamp = int(time.time() * 1000)
outputfile = "%s/%s-%s-%s.%s" % (args.outputdir, isin_mic[0], isin_mic[1], timestamp, extension)
print("Scraping %s, %s to %s" % (isin_mic[0], isin_mic[1], outputfile))
try:
scrape(isin_mic[0], isin_mic[1], outputfile, args.pickle, timestamp=timestamp)
except Exception as e:
logger.exception("Failed to scrape %s" % isin_mic)
elif args.command == 'rdfconvert':
if args.batch:
files = list(util.traverse_mirror(args.inputpath, args.outputpath, '.pickle', '.n3'))
else:
files = [(args.inputpath, args.outputpath)]
for inputfile, outputfile in files:
print("Converting %s to %s" % (inputfile, outputfile))
with open(inputfile, 'rb') as f:
scraped = pickle.load(f)
rdfconvert(scraped, outputfile)
elif args.command == 'extractprofiles':
for directory, file in util.traverse(args.inputdir, '.n3'):
# Output into language-specific folder
inputfile = directory + os.sep + file
g = Graph()
g.parse(inputfile, format='n3')
for cp_id, _, profile in g.triples((None, NS['cp']['profile'], None)):
outdir = args.outputdir + os.sep + profile.language
if not os.path.exists(outdir):
os.makedirs(outdir)
id = cp_id.split('#')[1]
outputfile = "%s/%s.txt" % (outdir, id)
print(inputfile, "->", outputfile)
with open(outputfile, "w+") as f:
# Replace HTML tags so they do not get passed as input to gate
profile_clean = re.sub(r'<[^>]+>', '\n', profile)
f.write(profile_clean)
def main():
parser = argparse.ArgumentParser(
description='Searcher, scraper and RDF converter for EuroNext.'
)
subparser = parser.add_subparsers(help='commands', dest='command')
# Search command
search_command = subparser.add_parser('search', help='Search Deutsche Borse index constituents')
search_command.add_argument('isin', help='ISIN of the Deutsche Borse index')
search_command.add_argument('-o', dest='output_file', help='Output file for results')
def add_pickle_argument(command):
command.add_argument('--pickle',action='store_true', default=False,
help='Output as pickled objects. Can be converted to RDF using the " + \
"rdfconvert command. Used to allow changes to the RDF format without having to write converters for RDF output files')
# Scrape commands
scrapeone_command = subparser.add_parser('scrapeone', help='Scrape a page given ISIN')
scrapeone_command.add_argument('isin', help='ISIN number of company')
scrapeone_command.add_argument('outputfile', help='Path to a writable output file')
add_pickle_argument(scrapeone_command)
scrape_command = subparser.add_parser('scrape', help='Scrape from a file')
scrape_command.add_argument('inputfile', help='Path to file containing space-separated ISINs and MICs, one per line.' + \
" Can be generated with the 'search' command.")
scrape_command.add_argument('outputdir', help='Path to a writeable output directory')
add_pickle_argument(scrape_command)
# rdfconvert command
rdfconvert_command = subparser.add_parser('rdfconvert', help='Convert pickled objects to RDF')
rdfconvert_command.add_argument('inputpath', help='Source file or folder (if --batch)')
rdfconvert_command.add_argument('outputpath', help='Destination file or folder (if --batch)')
rdfconvert_command.add_argument('--batch', action='store_true', default=False, help='Convert all .pickle files recursively in "inputpath"')
args = parser.parse_args()
if args.command == 'search':
search_index_constituents(args.isin, output_file=args.output_file)
elif args.command == 'scrapeone':
scrape(args.isin, args.outputfile, args.pickle)
elif args.command == 'scrape':
extension = 'pickle' if args.pickle else 'n3'
with open(args.inputfile) as f:
isins = [l[0] for l in util.read_space_delimited_file(f)]
print(len(isins), " ISINs found")
for i, isin in enumerate(isins):
timestamp = int(time.time() * 1000)
outputfile = "%s/%s-%s.%s" % (args.outputdir, isin, timestamp, extension)
print("%d. Scraping %s to %s" % (i+1, isin, outputfile))
try:
scrape(isin, outputfile, args.pickle, timestamp=timestamp)
except Exception as e:
logger.exception("Failed to scrape %s: %s", isin, str(e))
time.sleep(1)
elif args.command == 'rdfconvert':
if args.batch:
files = list(util.traverse_mirror(args.inputpath, args.outputpath, '.pickle', '.n3'))
else:
files = [(args.inputpath, args.outputpath)]
for inputfile, outputfile in files:
print("Converting %s to %s" % (inputfile, outputfile))
with open(inputfile, 'rb') as f:
scraped = pickle.load(f)
rdfconvert(scraped, outputfile)
