How to perform a jinja2 test for your flask app

jinja2_test.py

#Purpose of this code is to test your flask app for jinja2 rendering issue
#If you have a large database and your jinja2 code can break due to uneven db rows, this will serve the purpose

from flask import Flask, request, session, g, redirect, url_for, \
     abort, render_template, flash,send_from_directory

import MySQLdb,json
import datetime

app = Flask(__name__, static_url_path='/static')
app.config.from_object(__name__)
app.wsgi_app = ProxyFix(app.wsgi_app)

##configuration
DATABASE = '#YourDBName'
DB_SERVER = 'localhost'
DEBUG = True
USERNAME = 'root'
PASSWORD = '#password'
import datetime 
import urllib

#Mysql Connection Declaration
class SQLconnection:
  def init(self):
    self.db = MySQLdb.connect(DB_SERVER,USERNAME,PASSWORD,DATABASE)
    self.db.autocommit(True)
    self.db.ping(True)
    self.cursor = self.db.cursor()
  def re_connect(self):
    self.db = MySQLdb.connect(DB_SERVER,USERNAME,PASSWORD,DATABASE)
    self.db.autocommit(True)
    self.db.ping(True)
    self.cursor = self.db.cursor()
  def close_connection(self):
    self.cursor.close()
    self.db.close()
    
_connection = SQLconnection()
_connection.init()

error_file = open('error.txt','w+')


import jinja2
def render_any_page(args if needed):
  ##You render code copy paste from server.py
  try:
    templateLoader = jinja2.FileSystemLoader(searchpath="./")
    templateEnv = jinja2.Environment(loader=templateLoader)
    TEMPLATE_FILE = "templates/distance_page_test.html"
    template = templateEnv.get_template(TEMPLATE_FILE)
    outputText = template.render(all_args_you_need_to_render_your_template_same_as_server_code)  # this is where to put args to the template renderer
  except Exception as e:
    print e
    print 'error in row',row_id ##Row _id is the row in db you  want  to fix
    error_file.write(str(row_id)+'\n') #row_id
    return 0
  print 'no_error'
 
##call render_page() for each row in your db to perform a site wide test for your jinja2 operation
## Downfall for this code is it takes a lot of time. You can launch a multithread operation for improving it's performance.