def add_to_index(self, corpus_dir, corpus_type,
stop_file=None, tag_file=None, synch_freq=10000):
"""Appends entries from @corpus_dir into the index
"""
corpus_name = os.path.basename(os.path.normpath(corpus_dir))
if corpus_name not in self.index_contents:
index_file = os.path.join(self.directory, 'index.txt')
word_count_file = os.path.join(
self.directory, 'total_word_count.txt')
index.build_index(corpus_dir, corpus_type, stop_file,
index_file, tag_file, word_count_file, synch_freq)
value = (corpus_type, stop_file, tag_file)
self.index_contents[corpus_name] = value
self.save_instance()
def test_index_database(self):
index_object = index.index('test_data/config_file.yaml')
index.build_index(index_object, 'test_data/config.ini')
db_keys = index.load_config_file('test_data/config.ini')
connection = psycopg2.connect(database=db_keys.get('database'),
user=db_keys.get('user'),
password=db_keys.get('password'))
cursor = connection.cursor()
cursor.execute("SELECT * FROM index order by 1,2;")
table_content = cursor.fetchall()
self.assertEqual([('as', 'test_data/full_file_dirty.txt', [1, 2]),
('bulgaria', 'test_data/full_file_dirty.txt', [1, 3]),
('bulgaria', 'try/try.txt', [22, 84, 99]),
('bush', 'test_data/full_file_dirty.txt', [1]),
('the', 'test_data/full_file_dirty.txt', [1])], table_content)
def main() -> None:
"""
Driver method
"""
# Read arguments
filename = sys.argv[1]
products = sys.argv[2:]
# Load data and create index
items = data.read_data(filename)
item_index, shop_index = index.build_index(items)
# Find relevant shops
shops = utils.find_shops(item_index, products)
# Calculate price for each of them and store in list of tuples format
# with first index as shop ID and second as final price -
# [
# (shop1, total1),
# (shop2, total2),
# ...
# ]
price_list = [(i, utils.calculate_price(shop_index, products, i))
for i in shops]
if price_list:
best_price = min(price_list, key=lambda x: x[1]) # Find the best price
else: # No relevant shop found
best_price = None
print(best_price)
def add_to_index(self,
corpus_dir,
corpus_type,
stop_file=None,
tag_file=None,
synch_freq=10000):
"""Appends entries from @corpus_dir into the index
"""
corpus_name = os.path.basename(os.path.normpath(corpus_dir))
if corpus_name not in self.index_contents:
index_file = os.path.join(self.directory, 'index.txt')
word_count_file = os.path.join(self.directory,
'total_word_count.txt')
index.build_index(corpus_dir, corpus_type, stop_file, index_file,
tag_file, word_count_file, synch_freq)
value = (corpus_type, stop_file, tag_file)
self.index_contents[corpus_name] = value
self.save_instance()
def main():
args = get_args()
time_start = datetime.utcnow()
logging.info('Index building started...')
index.build_index(args.embedding_files, LOCAL_INDEX_FILE, args.num_trees)
time_end = datetime.utcnow()
logging.info('Index building finished.')
time_elapsed = time_end - time_start
logging.info('Index building elapsed time: {} seconds'.format(time_elapsed.total_seconds()))
time_start = datetime.utcnow()
logging.info('Uploading index artefacts started...')
upload_artefacts(args.index_file)
time_end = datetime.utcnow()
logging.info('Uploading index artefacts finished.')
time_elapsed = time_end - time_start
logging.info('Uploading index artefacts elapsed time: {} seconds'.format(time_elapsed.total_seconds()))
def create_index():
build_index()
return 'create index'
parser.add_argument('-b', nargs='*', default=[],
help=u'build,建立新的索引；格式：“频道名”'.encode('GBK'))
parser.add_argument('-u', nargs='?', const='all', default=False,
help=u'update,更新索引；无参数则更新全部，格式：“频道名”'.encode('GBK'))
parser.add_argument('-n', nargs='?', const=False, default=True,
help=u'not,若不下载图片，输入此提示符，无其它参数'.encode('GBK'))
parser.add_argument('-c', nargs='*', default=[],
help=u'channel,频道名；格式：“频道名(1) 频道名(2)”'.encode('GBK'))
parser.add_argument('-t', nargs='*', default=change_time(),
help=u'time,时间范围；格式：“年.月.日(1) 年.月.日(2)”'.encode('GBK'))
parser.add_argument('-p', nargs='*', default={},
help=u'path,保存路径；格式：“频道(1) 路径(1) 频道(2) 路径(2)”'.encode('GBK'))
args = parser.parse_args()
if args.a:
info.add(args.a, args.ad)
if args.s:
info.show(args.s)
if args.d:
info.delete(args.d)
if args.b:
index.build_index(args.b[0])
if args.u:
index.update_what(args.u)
if args.n:
downlaod.download(args.c, args.t, args.p)
## Adicionando ambiente Django
print "Adicionando ambiente Django..."
sys.path.insert(0, '/Users/phillipe/Projects/storyline')
os.environ['DJANGO_SETTINGS_MODULE'] = 'project.settings'
from apps.search.models import Article
except ImportError:
print "Ocorreu um erro na importação dos módulos necessários\
para a construção do índice e inclusão dos documentos."
raise
# Criando índice
try:
print "O índice está sendo construído, ou obtido (se já existir)..."
idx = index.build_index()
except:
print "Não foi possível obter o índice."
raise
try:
print "Lendo os documentos a serem indexados..."
docs = Article.objects.all()
except Article.DoesNotExist:
print "Não foi possível carregar a lista de documentos."
raise
try:
print "Adicionando os documentos ao índice..."
add_docs(docs, idx)
print "Total de documentos indexados:", idx.doc_count()
import index
if __name__ == "__main__":
print()
print("Welcome to Hannah and Rey's Search Engine!")
print()
corpus = sys.argv[1]
file_directory = json_to_dict(corpus)
# print(file_directory["0/1"])
index_file = 'index.txt'
i = open(index_file, 'w')
index.build_index(file_directory, corpus)
# i.write("hello world")
index.write_index_to_file(i)
# print(index.dictionary)
print("# VISITED DOCUMENTS: " + str(index.visitedDocuments))
print("UNIQUE WORDS: " + str(len(index.dictionary)))
inf_q = 'informatics_q.txt'
mondego_q = 'mondego_q.txt'
irvine_q = 'irvine_q.txt'
inf = open(inf_q, 'w')
mon = open(mondego_q, 'w')
irv = open(irvine_q, 'w')
inf_query = enter_query()
import os, sys, index
## Adicionando ambiente Django
print "Adicionando ambiente Django..."
sys.path.insert(0, '/Users/phillipe/Projects/storyline')
os.environ['DJANGO_SETTINGS_MODULE'] = 'project.settings'
from apps.search.models import Article
except ImportError:
print "Ocorreu um erro na importação dos módulos necessários\
para a construção do índice e inclusão dos documentos."
raise
# Criando índice
try:
print "O índice está sendo construído, ou obtido (se já existir)..."
idx = index.build_index()
except:
print "Não foi possível obter o índice."
raise
try:
print "Lendo os documentos a serem indexados..."
docs = Article.objects.all()
except Article.DoesNotExist:
print "Não foi possível carregar a lista de documentos."
raise
try:
print "Adicionando os documentos ao índice..."
add_docs(docs, idx)
app = Flask(
__name__,
static_url_path='',
static_folder='frontend/dist'
)
app.config['ENV'] = 'development'
INDEX_URL = "http://*****:*****@app.route('/search', methods=['POST'])
def search():
content = request.get_json(silent = True)
query = content['query']
start = time.time()
docs = process_query(query, index, 100)
result = {}
result['documents'] = []
for score, docId in docs:
line = linecache.getline(RAW_TSV_FILE, docId + 1).strip().split('\t')
curr_doc = {}
try:
cur_dir = os.path.dirname(os.path.abspath(__file__))
except:
cur_dir = os.getcwd()
sys.path.append(os.path.join(cur_dir, 'resources', 'lib'))
import index, play
args = urlparse.parse_qs(sys.argv[2][1:])
play_arg = args.get('play', None)
sid_arg = args.get('sid', None)
eid_arg = args.get('eid', None)
category_arg = args.get('category', None)
vtid_arg = args.get('vtid', None)
nid_arg = args.get('nid', None)
if play_arg is not None:
play.play(url=play_arg[0], nid=nid_arg[0])
elif sid_arg is not None and category_arg is not None and vtid_arg is not None:
index.build_index(sid=sid_arg[0], category=category_arg[0], vtid=vtid_arg[0])
elif sid_arg is not None and category_arg is not None:
index.build_index(sid=sid_arg[0], category=category_arg[0])
elif sid_arg is not None and eid_arg is not None:
index.build_index(sid=sid_arg[0], eid=eid_arg[0])
elif sid_arg is not None:
index.build_index(sid=sid_arg[0])
else:
index.build_index()
def create_index():
build_index()
return 'create index'