def run_search(dict_file, postings_file, queries_file, results_file):
"""
using the given dictionary file and postings file,
perform searching on the given queries file and output the results to a file
"""
print('running search on the queries...')
infile = open(dict_file, 'rb')
new_dict = pickle.load(infile)
infile.close()
in_file = open(queries_file, 'r', encoding="utf8")
out_file = open(results_file, 'w', encoding="utf8")
query_list = in_file.read().splitlines()
while query_list:
query = query_list.pop(0)
if (not query):
out_file.write("")
else:
out_file.write(search(query, new_dict, postings_file))
if query_list:
out_file.write('\n')
in_file.close()
out_file.close()
def get_search_results(**kw):
""" search the catalog and return the results
The request may contain additional query parameters
"""
query = make_query(**kw)
return search(query)
def get_search_results(**kw):
""" search the catalog and return the results
The request may contain additional query parameters
"""
query = make_query(**kw)
return search(query)
def precision_at_k(k,
num_relevant,
query,
search_type,
operation_type,
input=False,
incorporate_pr="yes"):
'''
:param k: number of retrieved documents
:param query:
:param search_type:
:param operation_type:
:param input:
:param incorporate_pr:
:return: out of the k retrieved documents, how many are relevant
'''
retrieved = search(query,
search_type,
operation_type,
type_input=input,
incorporate_pr=incorporate_pr,
verbose=False,
num_results=k)
# getting number of relevant documents
relevant = util.get_nbest_results(query, num_relevant)
print("{} relevant documents obtained".format(len(relevant)))
# getting number of relevant documents that were retrieved
relevant_retrieved_docs = [doc for doc in retrieved if doc in relevant]
num_relevant_retrieved = len(relevant_retrieved_docs)
print("{} relevant documents retrieved".format(num_relevant_retrieved))
return num_relevant_retrieved / k
def search():
if not authenticator.is_auth(flask.session):
return flask.jsonify(status="auth", message="User is not authenticated")
project_id = flask.request.form['project_id']
q = flask.request.form['q']
if flask.request.form['project_id'] is None:
raise query.QueryException("Required parameter project_id not provided")
return flask.jsonify(status="success", q=q, documents=query.summary(query.search(db(), authenticator.user_id(flask.session), project_id, q)))
def post(self):
q = self.get_body_argument(
"message"
) #query is a the query string. needs to be parsed and indexed.
#make the function calls here to get the ranked list. The list must be called results for it to be displayed on the web.
results = search(q)
#end of function calls to get ranked list
self.set_header("Content-Type", "text/plain")
self.render('listTemplate.html', title="Results",
results=results) #list variable must be called results
def get_search_results(**kw):
"""Search the catalog and return the results
:returns: Catalog search results
:rtype: list/Products.ZCatalog.Lazy.LazyMap
"""
# allow to search for the Plone site
if kw.get("portal_type") == "Plone Site":
return [get_portal()]
elif kw.get("id") in PORTAL_IDS:
return [get_portal()]
elif kw.get("uid") in PORTAL_IDS:
return [get_portal()]
# build and execute a catalog query
query = make_query(**kw)
return search(query)
def get_search_results(**kw):
"""Search the catalog and return the results
:returns: Catalog search results
:rtype: list/Products.ZCatalog.Lazy.LazyMap
"""
# allow to search for the Plone site
if kw.get("portal_type") == "Plone Site":
return [get_portal()]
elif kw.get("id") in PORTAL_IDS:
return [get_portal()]
elif kw.get("uid") in PORTAL_IDS:
return [get_portal()]
# build and execute a catalog query
query = make_query(**kw)
return search(query)
def handler(event, context):
s3 = boto3.client('s3')
inspector = Inspector()
inspector.inspectAll()
inspector.addTimeStamp("FrameWorkRuntime")
service = event.get("service")
bucket = event.get("bucketname")
key = event.get("filename")
if service == 1:
filename = '/tmp/target.csv'
processed_file = '/tmp/processed.csv'
upload_key = 'transform.csv'
s3.download_file(bucket, key, filename)
processed_data = trans.process(filename)
processed_data.to_csv(processed_file, index=False)
s3.upload_file(processed_file, bucket, upload_key)
inspector.addAttribute("numLine", processed_data.shape[0])
inspector.addAttribute("outputFile", upload_key)
elif service == 2:
logger = logging.getLogger()
logger.setLevel(logging.INFO)
data_path = '/tmp/target.csv'
db_path = '/tmp/' + key.split('.')[0] + '.db'
s3.download_file = 'transform.csv'
load.database_init(data_path, db_path, logger)
s3.upload_file(db_path, bucket, 'target.db')
inspector.addAttribute("DatabaseName", "target.db")
elif service == 3:
where_statement = event.get("where")
group_statement = event.get("group")
db_path = '/tmp/target.db'
if not os.path.isfile(db_path):
s3.download_file(bucket, key, db_path)
result, lines = query.search(db_path, where_statement, group_statement)
inspector.addAttribute("data", result)
inspector.addAttribute("numLine", lines)
else:
raise NameError("There is no such service")
inspector.inspectCPUDelta()
return inspector.finish()
def search():
region = request.args['region']
max = request.args['max']
min = request.args['min']
result = query.search(region, min, max)
current_page = request.args.get('page', 1, type=int)
items_per_page = 5
pages = round(len(result) / items_per_page + .499)
from_page = int(current_page) * items_per_page - items_per_page
upto_page = int(current_page) * items_per_page
list_part = result[from_page:upto_page]
images = []
for adv in list_part:
images.append(query.get_images(adv[0]))
return render_template('search.html',
images=images,
advertisements=list_part,
pages=pages,
current_page=current_page,
region=region,
max=max,
min=min)
def submit(request):
info = request.POST.get('info')
url_list = search(info)
return render(request, 'personal/home.html', {'search_string': url_list})
def ndcg_at_k(k,
num_relevant,
query,
search_type,
operation_type,
input=False,
incorporate_pr="yes"):
'''
:param k:
:param num_relevant:
:param query:
:param search_type:
:param operation_type:
:param input:
:param incorporate_pr:
:return: normalized DCG value at k
'''
retrieved = search(query,
search_type,
operation_type,
type_input=input,
incorporate_pr=incorporate_pr,
verbose=False,
num_results=k)
relevant = util.get_nbest_results(query, num_relevant)
print("{} relevant documents obtained".format(len(relevant)))
# defining the first 10 documents as highly relevant
# (relvance 2), the remaining documents as relevant (relevance 1)
# and all the rest are deemed irrelevant (relevance 0)
# these values might have to be changed approprietely
num_highly_relevant = 10
num_relevant = num_relevant - 10
highly_relevant = relevant[:num_highly_relevant]
relevant = relevant[num_highly_relevant:]
dcg = 0
rank = 1
for doc in retrieved:
# find relevance of retrieved doc
if doc in highly_relevant:
rel_doc = 2
elif doc in relevant:
rel_doc = 1
else:
rel_doc = 0
# calculate discount based on rank of document
if rank == 1:
discount = 1
else:
discount = log(rank, 2)
# add discounted gain to DCG value
dcg += rel_doc / discount
# find number of retrieved documents by finding length of list (since it might be smaller than k)
num_retrieved = len(retrieved)
opt_dcg = calc_optimal_dcg(num_retrieved, num_highly_relevant,
num_relevant)
# divide by optimal value to get normalized DCG
ndcg = dcg / opt_dcg
return ndcg
#print(precision_at_k(k=10,num_relevant=200,query="UCL",search_type="tfidf",operation_type="and"))
def searchUsers(self, pattern):
self.cur.execute(q.search(pattern))
columns = [desc[0] for desc in self.cur.description]
users = list(self.cur.fetchall())
users.insert(0, columns)
return users
def main():
parser = argparse.ArgumentParser()
# Currently only optional argument support (later add optional arguments using subparsers)
parser.add_argument("-f", "--filename", help="you want to index a new file.")
parser.add_argument("-d", "--dirname", help="recursively add a tag and description to each file in directory.")
parser.add_argument("-st", "--searchtags", help="search for a file based on tags", action="store_true")
parser.add_argument("-sd", "--searchdescription", help="search for a file based on its description", action="store_true")
parser.add_argument("-sn", "--searchname", help="search for a file based on its name", action="store_true")
args = parser.parse_args()
# if a file name is provided then index this file
if args.filename:
name = args.filename
tags, desc = checkValidity(name, 'file')
if (tags, desc) == (None, None):
return
doc = {
'filename': abspath(name),
'filepath': path,
'tags': tags,
'description': desc
}
index (doc)
# if a directory is provided then recursively walk the directory
if args.dirname:
dirname = args.dirname
tags, desc = checkValidity(dirname, 'dir')
if (tags, desc) == (None, None):
return
for root, dir, files in walk(abspath(dirname)):
for name in files:
print 'Now indexing file: ', root + '/' + name
doc = {
'filename': name,
'filepath': root + '/' + name,
'tags': tags,
'description': desc
}
index(doc)
# if search on tags requested
if args.searchtags:
try:
tags = raw_input('tags to be searched [space separated]: ')
except KeyboardInterrupt:
print '\nExiting Gracefully...'
return
search('tags:' + tags)
# if search on description requested
if args.searchdescription:
try:
desc = raw_input('rough description of file: ')
except KeyboardInterrupt:
print '\nExiting Gracefully...'
return
search('description:' + desc)
# if search on name requested
if args.searchname:
try:
name = raw_input('filename to be searched: ')
except KeyboardInterrupt:
print '\nExiting Gracefully...'
return
search('filename:' + name)
elif op == 'exit':
exit()
elif op == 'add':
name = input('enter name: ')
phone = input('enter phone: ')
query.add(db, table_name, name=name, phone=phone)
elif op == 'delete':
name = input('enter name: ')
query.delete(db, table_name, name)
elif op == 'view':
query.select(db, table_name)
elif op == 'edit':
var = input('update name or phone: ')
if var == 'name':
phone = input('enter the phone no of which name to be updated: ')
new_name = input('enter the new name: ')
query.update(db, table_name, phone=phone, where_name=new_name)
if var == 'phone':
name = input('enter the name whose number to be updated: ')
new_phone = input('enter the new phone no: ')
query.update(db, table_name, name=name, where_phone=new_phone)
elif op == 'search':
att = input('search by name or phone: ')
if att == 'name':
name = input('enter the name: ')
query.search(db, table_name, name=name)
if att == 'phone':
num = input('enter the phone no: ')
query.search(db, table_name, phone=num)
revs = [x for x in revs]
for rev in revs:
texts.append(rev.getText().encode('utf-8'))
# cs = lcp.common_substring(texts, len(texts) * 0.9, 20)
# print cs
# missed = 0
for ((revPrev,timePrev), (revNext,timeNext)) in gen_prev_next([(x, x.getTimestamp()) for x in revs], (None, int(time.time()))):
query['q'] = ' '.join(['"%s"' % x for x in escape_variables(revPrev.getText())])
if options.namespace:
query['q'] += ' namespace:%s' % options.namespace
timePrev = time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime(timePrev))
timeNext = time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime(timeNext))
query['q'] += ' timestamp:[%s TO %s]' % (timePrev, timeNext)
print >>sys.stderr, query
res = query_func.search('localhost', 8080, query)
print >>sys.stderr, res['hits_all']
inject_result(result, res)
#print revPrev.getText()
#print revPrev.getId(), timePrev, timeNext - timePrev, revPrev.getText()[:20]
# if revPrev.getText().find(cs.decode('utf-8')) < 0:
# print 'missed' , timeNext - timePrev, revPrev.getText()#, revPrev.getText().find(cs)
# missed += timeNext - timePrev
# else:
# print 'ok'
# print missed
except Exception as e:
traceback.print_exc(file=sys.stderr)
# restore the structure of result
if options.revisions:
from query import search
from time import time as t
title_map = {}
with open("mapping.txt", encoding="utf8") as f:
for line in f:
doc_id = line.split()[0]
try:
title = " ".join(line.split()[1:])
except:
title = "id:" + line.split()[0] + ". Filename not found"
title_map[int(doc_id)] = title
if __name__ == "__main__":
print("Enter query to search and type '.' to end the loop")
while True:
string = input("Enter your query : ")
if string.strip() == ".":
break
start = t()
doc_list = search(string)
if not doc_list:
print("No results found")
for k in doc_list:
if k in title_map:
print(title_map[k])
print("Time taken:", t() - start)
def api_search(query, banyak):
return search(query, int(banyak))
def search():
args = request.values
name = args.get('name', '')
pageNum = int(args.get('pageNum', '1'))
pageSize = int(args.get('pageSize', '10'))
return query.search(name, pageNum, pageSize)