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app.py
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app.py
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# -*- coding: utf-8 -*- #cp949
# 서버가 돌아가는 메인 페이지
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from Symspell_py import symspell
from flask import Flask
from flask import request, jsonify
import json
import os
from models import db, get_db_data
from sqlalchemy import create_engine, text
from Symspell import sym_spell
app = Flask(__name__)
app.config['JSON_AS_ASCII'] = False
#api = Api(app)
# # 분리한 파일을 api에 등록
# api.add_namespace(Symspell, '/symspell')
# api.add_namespace(Crawling, '/crawling')
dictionary_path = 'dictionary.txt'
sym_spell.load_dictionary(dictionary_path, 0, 1, separator="$", encoding='utf-8')
# DB
basdir = os.path.abspath(os.path.dirname(__file__))
# basdir 경로안에 DB파일 만들기
dbfile = os.path.join(basdir, 'db.sqlite') # D:\2021\GradProject\FlaskServer\db.sqlite
# SQLAlchemy 설정
# 내가 사용 할 DB URI
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + dbfile
# 비지니스 로직이 끝날때 Commit 실행(DB반영)
app.config['SQLALCHEMY_COMMIT_ON_TEARDOWN'] = True
# 수정사항에 대한 TRACK
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
# SECRET_KEY
app.config['SECRET_KEY'] = 'd42dc573f4bf3f3f77639b715d6266f1'
db.init_app(app)
db.app = app
db.create_all()
# data update
#data_update()
try:
engine = create_engine('sqlite:///' + dbfile, pool_size=10)
except TypeError:
# The pool_size argument won't work for the default SQLite setup in SQLAlchemy 0.7, try without
engine = create_engine('sqlite:///' + dbfile)
# 검색 array 반환
@app.route('/searchArray', methods=['POST'])
def post_searchArray():
connection = engine.connect()
metadata = db.MetaData()
table = db.Table('Raw_material_info', metadata, autoload=True, autoload_with=engine)
# select * from table 과 같음
query = text('select name from Raw_material_info')
print(query)
# 쿼리 실행
result_proxy = connection.execute(query)
result_set = result_proxy.fetchall()
result = []
# set list to string list
for i in result_set :
i = list(i)
result.append(i[0])
print(result)
jsonResp = json.dumps(result, ensure_ascii=False)
message = {
'status': 200,
'message': 'OK',
'result': result
}
resp = jsonify(message)
resp.status_code = 200
print(resp)
return resp
# 검색 결과 반환
# 3.35.255.25/<keyword> 주소가 들어왔을 때 실행
@app.route('/<string:keyword>')
def get(keyword):
print(keyword)
li = [keyword]
jsonObject = get_db_data(li)
print(jsonObject)
jsonResp = json.dumps(jsonObject, ensure_ascii=False)
message = {
'status': 200,
'message': 'OK',
'result' : jsonResp
}
resp = jsonify(message)
resp.status_code = 200
print(resp)
return resp
# 분석 결과 반환
@app.route('/result', methods=['POST'])
def post():
print(request.is_json)
jsonObject = request.get_json()
input_terms = []
result = []
# 임시 질병 가중치 딕셔너리(추후 DB로 변경 필요)
weight = {"0":"단맛", "2":"혈당조절", "4":"혈당조절", "6":"소화촉진", "7":"혈당조절 단맛", "9":"소화촉진", "11":"골다공증 골격"}
# 원재료 이름
jsonArray = jsonObject.get("input")
jsonArray = jsonArray.replace('[', '').replace(']', '').split(',')
# 선택한 질병의 인덱스
jsonArray2 = jsonObject.get("weight")
jsonArray2 = jsonArray2.replace('[', '').replace(']', '').split(',')
weightList = []
for i in jsonArray2 :
if i in weight.keys():
li = weight[i].split(" ")
weightList += li
# 단어 교정 결과
result = symspell(jsonArray)
print("단어 교정 결과")
print(result)
# # url 리스트 받아오기
# count = 2
# url_list = getURL(result, count)
# print("oh")
# print(url_list)
#
# # 키워드와 설명 받아오기
# jsonDic = {}
# for i in range(0, len(url_list)):
# # 일단 오류 링크 제외
# try:
# print(url_list[i])
# article = Article(url_list[i], language='ko')
# article.download()
# article.parse()
# kkma = Kkma()
# sentences = kkma.sentences(article.text)
# for idx in range(0, len(sentences)):
# if len(sentences[idx]) <= 10:
# sentences[idx - 1] += (' ' + sentences[idx])
# sentences[idx] = ''
# if len(sentences) < 10:
# continue
# except:
# continue
# dic = {}
# keyword, word, sent = getResult(url_list[i], result[i % count])
# dic["word"] = word
# dic["sent"] = sent
# jsonDic[keyword] = dic
#
# jsonObject = json.dumps(jsonDic, ensure_ascii=False)
# print(jsonObject)
# get data from db
jsonObject = get_db_data(result)
jsonResp = json.dumps(jsonObject, ensure_ascii=False)
print("디비에서 가져온 결과")
print(jsonResp)
print(type(jsonObject))
# 태그만 추출해서 문자열 형식으로 변환 for 워드클라우드 입력형식
# 딕셔너리
tags = []
dict = {}
jsonArr = json.loads(jsonResp)
for i in jsonArr:
if i["tag1"] is not None:
tags.append(i["tag1"])
if not i["tag1"] in dict:
dict[i["tag1"]] = []
dict[i["tag1"]].append(i["name"])
if i["tag2"] is not None:
tags.append(i["tag2"])
if not i["tag2"] in dict:
dict[i["tag2"]] = []
dict[i["tag2"]].append(i["name"])
if i["tag3"] is not None:
tags.append(i["tag3"])
if not i["tag3"] in dict:
dict[i["tag3"]] = []
dict[i["tag3"]].append(i["name"])
if i["tag4"] is not None:
tags.append(i["tag4"])
if not i["tag4"] in dict:
dict[i["tag4"]] = []
dict[i["tag4"]].append(i["name"])
if i["tag5"] is not None:
tags.append(i["tag5"])
if not i["tag5"] in dict:
dict[i["tag5"]] = []
dict[i["tag5"]].append(i["name"])
# 맵핑 관계 json 형식으로 변환
print(dict)
dict = json.dumps(dict)
# 가중치
for i in weightList:
if i in tags:
tags.append(i)
print(tags)
tags = list(set(tags)) # 중복 제거
text = ""
for i in tags:
text += str(i) + " "
print(text) # ex. text = "혈당조절 신장결석 근육"
# wordcloud = WordCloud(font_path='font/NanumGothic.ttf', background_color='white').generate(text)
# plt.figure(figsize=(22, 22)) # 이미지 사이즈 지정
# plt.imshow(wordcloud, interpolation='lanczos') # 이미지의 부드럽기 정도
# plt.axis('off') # x y 축 숫자 제거
# plt.show()
# plt.savefig('./static/picture.png', dpi=300)
message = {
'status': 200,
'message': 'OK',
'scores': jsonResp,
'map' : dict
}
resp = jsonify(message)
resp.status_code = 200
print("출력")
print(resp)
return resp
# 서버 실행
if __name__ == "__main__":
app.run(debug=True, host='0.0.0.0', port=80)