from __future__ import unicode_literals
from flask import Flask
from flask_restful import reqparse,Api, Resource
from flask import Flask,jsonify,request
from flask import abort
from flask import make_response,Response
import json
#########測(cè)試==========
#####放在11.41庫(kù)
import jieba
import os
import jieba.analyse
app = Flask(__name__)
app.debug = True
app.config.update(RESTFUL_JSON=dict(ensure_ascii=False))
api = Api(app)
os.chdir('/home/nlp/model/IF')
from sklearn.externals import joblib
clf = joblib.load("model.m")
vec = joblib.load("vec.m")
transformer = joblib.load("tfidf.m")
ch2 = joblib.load("ch2.m")
@app.route('/')
def hello_world():
return 'hello world'
@app.route('/add_task/', methods=['POST'])
def add_task():
url = request.json['siteDomain']
if ('guba' in url) or ('直播答題' in 'text'):
lable = 0
else:
text = request.json['content']
title = request.json['title']
content = title + text
word_cut = jieba.lcut(content.strip(), cut_all = False)
news1 = []
news1.append(' '.join(word_cut))
x_test11 = vec.transform(news1)
x_test21 = transformer.transform(x_test11)
X_test1 = ch2.transform(x_test21)
y1 = clf.predict(X_test1)
if y1[0] == 0:
lable = 0
else:
lable = 1
rt = {'number':lable}
return json.dumps(rt)
if __name__ == '__main__':
app.run(host = '0.0.0.0')
運(yùn)行以上代碼報(bào)錯(cuò)(/usr/bin/python3: can't open file 'RFIFL.py': [Errno 2] No such file or directory)
具體錯(cuò)誤如下
/usr/local/python/lib/python3.6/site-packages/sklearn/base.py:311: UserWarning: Trying to unpickle estimator SVC from version 0.18.1 when using version 0.19.1. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
/usr/local/python/lib/python3.6/site-packages/sklearn/base.py:311: UserWarning: Trying to unpickle estimator GridSearchCV from version 0.18.1 when using version 0.19.1. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
/usr/local/python/lib/python3.6/site-packages/sklearn/base.py:311: UserWarning: Trying to unpickle estimator CountVectorizer from version 0.18.1 when using version 0.19.1. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
/usr/local/python/lib/python3.6/site-packages/sklearn/base.py:311: UserWarning: Trying to unpickle estimator TfidfTransformer from version 0.18.1 when using version 0.19.1. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
/usr/local/python/lib/python3.6/site-packages/sklearn/base.py:311: UserWarning: Trying to unpickle estimator SelectKBest from version 0.18.1 when using version 0.19.1. This might lead to breaking code or invalid results. Use at your own risk.
UserWarning)
* Serving Flask app "RFIFL" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: on
* Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
* Restarting with stat
/usr/bin/python3: can't open file 'RFIFL.py': [Errno 2] No such file or directory
但是當(dāng)我把代碼換成這樣的
from __future__ import unicode_literals
from flask import Flask
from flask_restful import reqparse,Api, Resource
from flask import Flask,jsonify,request
from flask import abort
from flask import make_response,Response
import json
#########測(cè)試==========
#####放在11.41庫(kù)
import jieba
import os
import jieba.analyse
app = Flask(__name__)
app.debug = True
app.config.update(RESTFUL_JSON=dict(ensure_ascii=False))
api = Api(app)
@app.route('/')
def hello_world():
return 'hello world'
@app.route('/add_task/', methods=['POST'])
def add_task():
os.chdir('/home/nlp/model/IF')
from sklearn.externals import joblib
clf = joblib.load("model.m")
vec = joblib.load("vec.m")
transformer = joblib.load("tfidf.m")
ch2 = joblib.load("ch2.m")
url = request.json['siteDomain']
if ('guba' in url) or ('直播答題' in 'text'):
lable = 0
else:
text = request.json['content']
title = request.json['title']
content = title + text
word_cut = jieba.lcut(content.strip(), cut_all = False)
news1 = []
news1.append(' '.join(word_cut))
x_test11 = vec.transform(news1)
x_test21 = transformer.transform(x_test11)
X_test1 = ch2.transform(x_test21)
y1 = clf.predict(X_test1)
if y1[0] == 0:
lable = 0
else:
lable = 1
rt = {'number':lable}
return json.dumps(rt)
if __name__ == '__main__':
app.run(host = '0.0.0.0')
即
os.chdir('/home/nlp/model/IF')
from sklearn.externals import joblib
clf = joblib.load("model.m")
vec = joblib.load("vec.m")
transformer = joblib.load("tfidf.m")
ch2 = joblib.load("ch2.m")
這段代碼一開始放在post方法外程序是不能正常運(yùn)行的,當(dāng)放在post方法下的函數(shù)里,程序就可以正常運(yùn)行,請(qǐng)問(wèn)這是為什么?
我想把這段代碼放在post方法外,不想每次調(diào)post方法都加載一遍這些文件,想放在緩存里供post方法直接調(diào)用,該怎么操作?求大佬告知。好人一生平安
我建議把
os.chdir('/home/nlp/model/IF')
from sklearn.externals import joblib
clf = joblib.load("model.m")
vec = joblib.load("vec.m")
transformer = joblib.load("tfidf.m")
ch2 = joblib.load("ch2.m")
中的os.chdir('/home/nlp/model/IF')
刪掉
使用絕對(duì)路徑導(dǎo)入包:
from sklearn.externals import joblib
basedir = '/home/nlp/model/IF'
clf = joblib.load(os.path.join(basedir,"model.m"))
vec = joblib.load(os.path.join(basedir, "vec.m"))
transformer = joblib.load(os.path.join(basedir, "tfidf.m"))
ch2 = joblib.load(os.path.join(basedir, "ch2.m"))
把os.path.join(basedir, "filename.m")
寫成一個(gè)函數(shù)也是個(gè)不錯(cuò)的選擇:
def abspath(filename):
basedir = '/home/nlp/model/IF'
return os.path.join(basedir, filename)
vec = joblib.load(abspath("vec.m"))
之所以會(huì)出現(xiàn)can't open file 'RFIFL.py': [Errno 2] No such file or directory
, 是因?yàn)橐婚_始用os.chdir()
改變了基礎(chǔ)路徑, 而app = Flask(__name__)
, 在修改的路徑中我們找不到/home/nlp/model/IF/RFIFL.py
入口文件.
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