Question

我正在尝试将搜索栏中的用户输入返回数据库，并根据用户输入生成表。但是，flask打印出error1。

@app.route('/', methods=['GET', 'POST'])
def homepage1():
    try:    
        if request.method == "POST":
            x = request.form
            print(x)
            name =x['search']
            a = name.split(" ",1)
            firstname, lastname = (a[0], a[1])
            print(firstname)
            print(lastname)
            c,conn = connection()
            qry = "SELECT FirstName, LastName, Location FROM posts WHERE FirstName LIKE (%s) AND LastName like (%s)"
            c.execute(qry, ((thwart(firstname)), (thwart(lastname)),))
            conn.commit()
            data = c.fetchall()
            conn.close()
            return render_template("index.html", data=data)
        else: print('error1')
        return render_template("review.html")
    except Exception as e:
        return(str(e))

<div class="container" style="margin-top: 10%; margin-left: 25%">
    <div class="col-md-6 col-md-offset-3">     
        <div class="row">
            <div id="logo" class="text-center">
                <form role="form" id="form-buscar">
                    <div class="form-group">
                        <div class="input-group">
                            <input id="1" class="form-control" type="text" name="search" placeholder="Enter First Name, Last Name..." required/>
                            <span class="input-group-btn">
                                <button type="button" class="btn btn-success" type="submit" method = "POST" id="search" onclick="fetchlist()" >
                                    <i class="glyphicon glyphicon-search" aria-hidden="true"></i> Search                                


function fetchlist() {
    if (document.getElementById('search').onclick) {
        document.getElementById('list').style.display = 'block';
    }
    else document.getElementById('list').style.display = 'none';

}

我的标签已关闭，但是Stackoverflow不允许我提交

Answer 1

尝试更改

# encoding=utf8  
import sys  

reload(sys)  
sys.setdefaultencoding('utf8')

import re
import sys
import os
import nltk
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import CountVectorizer

#import sys
#reload(sys)
#sys.setdefaultencoding("ISO-8859-1")

#a.encode('utf-8').strip()

os.chdir("/Users/lucy/Desktop/down1")

file=[]

for files in os.listdir("/Users/lucy/Desktop/down1"):
    with open(files) as f: 
        #files.encode('utf-8').strip()
        lineList = f.readlines()
        lines=b" ".join(lineList) 
    lines=[lines] 
    vectorizer = CountVectorizer(stop_words='english')
    #[texts]=yes
    word_count_vector=vectorizer.fit_transform(lines)
    #with open(os.path.join(root,files),"r") as auto:
    file.append(word_count_vector)
    #print(file)


print(vectorizer.vocabulary_)

到

<form role="form" id="form-buscar">

从搜索栏返回用户输入。烧瓶不解析请求

1 个答案: