FreeCompetitors/modules/search.py

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# THIS SOFTWARE IS A PART OF FREE COMPETITOR PROJECT
# THE FOLLOWING SOURCE CODE I UNDER THE GNU
# AGPL LICENSE V3 OR ANY LATER VERSION.
# This project is not for simple users, but for
# web-masters and a like, so we are counting on
# your ability to set it up and running.
import os
import json
import Levenshtein
def search_app(name):
# This function output a json of an app that's the closest
# match to the requested name.
closest = {}
match = 0
all_apps = []
for i in os.listdir("apps"):
if i.endswith(".json"):
try:
with open("apps/"+i) as json_file:
idata = json.load(json_file)
except Exception as e:
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print("Error!", i, e)
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idata = {}
all_apps.append(idata)
# Round 1. By the name
for i in all_apps:
for n in i.get("names",[]):
m = Levenshtein.jaro_winkler(n.lower(), name.lower())
if m > match and m > 0.49:
closest = i
match = m
if closest:
return closest
# Round 2. By Generic name
for i in all_apps:
for n in i.get("generic_name",[]):
m = Levenshtein.jaro_winkler(n.lower(), name.lower())
if m > match:
closest = i
match = m
if closest:
return closest
def suggest(json_data):
# This function will suggest
found = []
all_apps = []
for i in os.listdir("apps"):
if i.endswith(".json"):
try:
with open("apps/"+i) as json_file:
idata = json.load(json_file)
except Exception as e:
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print("Error!", i, e)
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idata = {}
all_apps.append(idata)
for i in all_apps:
score = 0
for c in ["generic_name", "networks_read", "networks_write", "formats_read", "formats_write"]:
for b in json_data.get(c, []):
if b in i.get(c, []):
score += 1
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print(score, i.get("names",["no name"])[0], "SCORE")
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found.append([score, i])
try:
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found.sort(key=lambda x: x[0])
found = list(reversed(found))
except Exception as e:
print("Found problem:", e)
fount = []
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return found