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webConnector.py
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webConnector.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Apr 30 15:51:54 2018
@author: s_jan001
"""
from flask import Flask, render_template, request, Response, url_for, redirect, flash, session
from analyser import completeness
from analyser import qualitativeAnalyser
from qualifier import qualify_map
from analyser import inverses
import json
import os
import bcrypt
from settings import OUTPUT_DIR
from passlib.hash import sha256_crypt
#from flask_mysqldb import MySQL,MySQLdb
#engine = create_engine("mysql+pymysql://root:root@localhost/sma",pool_pre_ping=True)
#print("here is engine: ",engine)
# (mysql+pymsql:username:password@localhost/database)
#db = scoped_session(sessionmaker(bind=engine))
"""
create flask web app instance
"""
app = Flask(__name__)
app.secret_key = "root1234code"
# app.config['MYSQL_HOST'] = 'localhost'
# app.config['MYSQL_USER'] = 'root'
# app.config['MYSQL_PASSWORD'] = 'root'
# app.config['MYSQL_DB'] = 'sma'
# app.config['MYSQL_CURSORCLASS'] = 'DictCursor'
# mysql = MySQL(app)
USER_ID =""
#OUTPUT_DIR = "./output"
USER_PROJ_DIR = ""
SketchMapFileName = ""
MetricMapFileName = ""
SM_QCN_PATH = ""
MM_QCN_PATH = ""
@app.route("/")
def main():
return render_template("home.html")
@app.route("/home")
def home():
return render_template("home.html")
@app.route("/sma")
def sma():
return render_template("home.html")
@app.route("/results", methods = ["POST", "GET"])
def results():
return render_template("results.html")
@app.route("/register", methods =["POST", "GET"])
def register():
global OUTPUT_DIR
if request.method == "POST":
name = request.form.get("name")
username = request.form.get("username")
password = request.form.get("password").encode('utf-8')
confirm = request.form.get("confirm").encode('utf-8')
affiliation = request.form.get("affiliation")
email = request.form.get("email")
secure_password = bcrypt.hashpw(password,bcrypt.gensalt())
secure_confirm = bcrypt.hashpw(confirm, bcrypt.gensalt())
#cur = mysql.connection.cursor()
userFile = os.path.join(OUTPUT_DIR, "users.json")
userRecord = inverses.createUserRecord(name, username, str(secure_password), str(secure_confirm), affiliation, email)
a = {userRecord["username"]:userRecord}
#print(a)
try:
with open(userFile, mode='r', encoding='utf-8') as f:
feeds = json.load(f)
#print(feeds)
with open(userFile, mode='w', encoding='utf-8') as feedsjson:
feeds.append(userRecord)
json.dump(feeds, feedsjson,indent=4)
except IOError:
print("tenureRecord.json path has problem ")
#print("securePassword...",secure_password)
if password ==confirm:
#cur.execute ("INSERT INTO users(name, username,password,affiliation,email) VALUES(%s,%s,%s,%s,%s)",
# (name,username,secure_password,affiliation,email))
#mysql.connection.commit()
session["username"]=username
#session["affiliation"]=affiliation
#cur.close()
flash("you are registerd sucessfully and you can login now","success")
return redirect(url_for("login"))
else:
flash("Password is not match","danger")
return redirect(url_for("register"))
return render_template("register.html")
@app.route("/login", methods = ["POST","GET"])
def login():
global USER_ID
global USER_PROJ_DIR
global OUTPUT_DIR
if request.method == "POST":
username= request.form.get("username")
password = request.form.get("password").encode('utf-8')
#print(username,password)
#cur = mysql.connection.cursor(MySQLdb.cursors.DictCursor)
#cur.execute("SELECT * FROM users WHERE username=%s",(username,))
#user = cur.fetchone()
#cur.close()
userFile = os.path.join(OUTPUT_DIR, "users.json")
with open(userFile, 'r+') as file:
try:
users = json.load(file)
#print("here you go ",users)
except IOError:
print("users.json is not loading ")
#print(len(username))
if len(username) > 0:
for user in users:
if username==user["username"]:
print("i am herer ")
session['username'] = user['username']
print(user['username'])
print(username)
USER_ID = session['username']
USER_PROJ_DIR = os.path.join(OUTPUT_DIR, USER_ID)
try:
if not (os.path.exists(USER_PROJ_DIR)):
os.mkdir(USER_PROJ_DIR)
except IOError:
print("problem in creating USER_PROJ_DIR")
# flash("You are login sucessfully", "danger")
return redirect(url_for("main_sma"))
else:
return (("Error password or user not Match", "danger"))
else:
return (("User is not defined", "danger"))
else:
return render_template("login.html")
"""
if len(user)>0:
if bcrypt.hashpw(password,user['password'].encode('utf-8'))== user['password'].encode('utf-8'):
session['username']=user['username']
USER_ID = session['username']
USER_PROJ_DIR = os.path.join("./output",USER_ID)
try:
if not (os.path.exists(USER_PROJ_DIR)):
os.mkdir(USER_PROJ_DIR)
except IOError:
print("problem in creating USER_PROJ_DIR")
#flash("You are login sucessfully", "danger")
return redirect(url_for("main_sma"))
else:
return (("Error password or user not Match", "danger"))
else:
return (("Error password or user not Match", "danger"))
else:
return render_template("login.html")
"""
@app.route("/logout",methods = ["POST", "GET"])
def logout():
session.clear()
return render_template("home.html")
"""
- main page for processing sketch and base map
"""
@app.route("/main_sma")
def main_sma():
return render_template("main_sma.html")
@app.route("/main_sketchClassifier", methods=["POST", "GET"])
def main_page():
return render_template("main_sketchClassifier.html")
@app.route("/metricFileName", methods=["POST", "GET"])
def getMetricMapID():
#global metricMapID
metricMapID = request.args.get("metricFileName")
print("1 Metric Map ID....:", metricMapID)
return "msg"
@app.route("/sketchFileName", methods=["POST", "GET"])
def getSketchMapID():
sketchMapID = request.args.get("sketchFileName")
print("sketch map id...",sketchMapID)
return "msg"
"""
- load metric map geojson into qualifier
"""
@app.route("/mmReceiver", methods=["POST", "GET"])
def mmGeoJsonReceiver():
global SM_QCN_PATH
global MM_QCN_PATH
global OUTPUT_DIR
#global USER_PROJ_DIR
fileName_full = str(request.form.get('metricFileName'))
MMGeoJsonData = request.form.get('MMGeoJsonData')
MMGeoJsonData = json.loads(MMGeoJsonData)
# print("here svg file and content:",fileName_full, svgContent)
fileName, extension = os.path.splitext(fileName_full)
#print("here is SMGeoJsonData:",MMGeoJsonData)
#smGeoJson = request.get_json()
data_format = "geojson"
map_type = "metric_map"
MetricMap_QCNS = qualify_map.main_loader(fileName, MMGeoJsonData, data_format, map_type)
USER_ID = session['username']
USER_PROJ_DIR = os.path.join(OUTPUT_DIR,USER_ID)
try:
MM_QCN_PATH = os.path.join(USER_PROJ_DIR,fileName_full+".json")
if os.path.exists(MM_QCN_PATH):
os.remove(MM_QCN_PATH)
f = open(MM_QCN_PATH, "a+")
f.write(json.dumps(MetricMap_QCNS,indent=4))
f.close()
except IOError:
print("Sketch map QCNs json path problem ")
return "Qualify Successfully"
"""
- load sketch map geojson into qualifier
"""
@app.route("/smReceiver", methods=["POST", "GET"])
def smGeoJsonReceiver():
global SM_QCN_PATH
global USER_PROJ_DIR
fileName_full = str(request.form.get('sketchFileName'))
SMGeoJsonData = request.form.get('SMGeoJsonData')
SMGeoJsonData = json.loads(SMGeoJsonData)
# print("here svg file and content:",fileName_full, svgContent)
fileName, extension = os.path.splitext(fileName_full)
#print("here is SMGeoJsonData:",SMGeoJsonData)
#smGeoJson = request.get_json()
data_format = "geojson"
map_type = "sketch_map"
sketchMap_QCNS = qualify_map.main_loader(fileName, SMGeoJsonData, data_format, map_type)
USER_ID = session['username']
USER_PROJ_DIR = os.path.join(OUTPUT_DIR,USER_ID)
try:
SM_QCN_PATH = os.path.join(USER_PROJ_DIR,fileName_full+".json")
if os.path.exists(SM_QCN_PATH):
os.remove(SM_QCN_PATH)
f = open(SM_QCN_PATH, "a+")
f.write(json.dumps(sketchMap_QCNS,indent=4))
f.close()
except IOError:
print("Sketch map QCNs json path problem ")
return "Qualify Successfully"
@app.route('/analyzeInputMap',methods=["POST", "GET"])
def analyzeInputMap():
if request.method == "POST":
session.modified = True
sketchFileName = str(request.form.get('sketchFileName'))
metricFileName = str(request.form.get('metricFileName'))
#session['sketchFileName'] = sketchFileName
USER_ID = session['username']
#print("USER_ID",USER_ID)
USER_PROJ_DIR = os.path.join(OUTPUT_DIR, USER_ID)
MM_QCN_PATH = os.path.join(USER_PROJ_DIR,metricFileName+".json")
SM_QCN_PATH = os.path.join(USER_PROJ_DIR, sketchFileName + ".json")
with open( MM_QCN_PATH,'r+') as mmjson:
try:
metricMapQCNs = json.load(mmjson)
except IOError:
print("metric_map.json is not loading ")
with open(SM_QCN_PATH, 'r+') as smjson:
try:
sketchMapQCNs = json.load(smjson)
except IOError:
print("sketch_map.json is not loading ")
total_mm_landmarks = completeness.get_landmarks_mm(metricMapQCNs)
toal_mm_streets = completeness.get_streets_mm(metricMapQCNs)
total_mm_cityblocks = completeness.get_cityblocks_mm(metricMapQCNs)
# session['total_mm_landmarks'] = total_mm_landmarks
# session['toal_mm_streets'] = toal_mm_streets
# session['total_mm_cityblocks'] = total_mm_cityblocks
# print("total landmarks in MM...:", total_mm_landmarks)
# print("total streets in MM...:", toal_mm_streets)
# print("matched city-blocks in MM...:", total_mm_cityblocks)
#print("======================================")
totalSketchedLandmarks = completeness.get_landmarks_sm(sketchMapQCNs)
totalSketchedStreets = completeness.get_streets_sm(sketchMapQCNs)
totalSketchedCityblocks = completeness.get_cityblocks_sm(sketchMapQCNs)
# session['totalSketchedLandmarks'] = totalSketchedLandmarks
# session['totalSketchedStreets'] = totalSketchedStreets
# session['totalSketchedCityblocks'] = totalSketchedCityblocks
# print("total landmarks in SM...:", totalSketchedLandmarks)
# print("total streets in SM...:", totalSketchedStreets)
# print("matched city-blocks in SM...:", totalSketchedCityblocks)
# print("======================================")
landmarkCompleteness = completeness.get_landmarkCompleteness(totalSketchedLandmarks,total_mm_landmarks)
landmarkCompleteness = round(landmarkCompleteness, 2)
#session['landmarkCompleteness'] = landmarkCompleteness
streetCompleteness= completeness.get_streetCompleteness(totalSketchedStreets,toal_mm_streets)
streetCompleteness = round(streetCompleteness, 2)
#session['streetCompleteness'] = streetCompleteness
cityblockCompleteness = completeness.get_cityblockCompleteness(totalSketchedCityblocks,total_mm_cityblocks)
cityblockCompleteness = round(cityblockCompleteness, 2)
#session['cityblockCompleteness'] = cityblockCompleteness
overAllCompleteness=completeness.get_overall_completness(landmarkCompleteness,streetCompleteness,cityblockCompleteness)
#session['overAllCompleteness'] = overAllCompleteness
"""
Measure the correct relations using RCC11
"""
totalRCC11Relations_mm = qualitativeAnalyser.getTotalRelations_rcc8_mm(metricMapQCNs)
totalRCC11Relations = qualitativeAnalyser.getTotalRelations_rcc8_sm(sketchMapQCNs)
correctRCC11Relations = qualitativeAnalyser.getCorrrctRelation_rcc8(sketchMapQCNs, metricMapQCNs)
wrongMatchedRCC11rels = qualitativeAnalyser.getWrongRelations_rcc8(sketchMapQCNs, metricMapQCNs)
missingRCC11rels = totalRCC11Relations_mm - (correctRCC11Relations + wrongMatchedRCC11rels)
if correctRCC11Relations != 0 or totalRCC11Relations != 0:
correctnessAccuracy_rcc11 = (correctRCC11Relations / totalRCC11Relations) * 100
else:
correctnessAccuracy_rcc11= 0.00
# session['totalRCC11Relations_mm'] = totalRCC11Relations_mm
# session['totalRCC11Relations'] = totalRCC11Relations
# session['correctRCC11Relations'] = correctRCC11Relations
# session['wrongMatchedRCC11rels'] = wrongMatchedRCC11rels
# session['missingRCC11rels'] = missingRCC11rels
# session['correctnessAccuracy_rcc11'] = round(correctnessAccuracy_rcc11,2)
# print("total RCC11 rels in MM...:", totalRCC11Relations_mm)
# print("total RCC11 rels in SM...:", totalRCC11Relations)
# print("matched RCC11 rels...:", correctRCC11Relations)
# print("wrong matched RCC11 rels...:", wrongMatchedRCC11rels)
# print("missing RCC11 rels...:", missingRCC11rels)
# print("======================================")
"""
Measure the correct relations using Linear Ordering
alogn the defined route
"""
total_lO_rels_mm = qualitativeAnalyser.getTotalLinearOrderingReltions_mm(metricMapQCNs)
total_LO_rels_sm = qualitativeAnalyser.getTotalLinearOrderingReltions_sm(sketchMapQCNs)
matched_LO_rels = qualitativeAnalyser.getCorrectRelation_linearOrdering(sketchMapQCNs, metricMapQCNs)
wrong_matched_LO_rels = qualitativeAnalyser.getWrongRelations_linearOrdering(sketchMapQCNs, metricMapQCNs)
missing_LO_rels = total_lO_rels_mm - (matched_LO_rels + wrong_matched_LO_rels)
if matched_LO_rels != 0 or total_LO_rels_sm != 0:
correctnessAccuracy_LO = (matched_LO_rels / total_LO_rels_sm) * 100
else:
correctnessAccuracy_LO = 0.00
# session['total_lO_rels_mm'] = total_lO_rels_mm
# session['total_LO_rels_sm'] = total_LO_rels_sm
# session['matched_LO_rels'] = matched_LO_rels
# session['wrong_matched_LO_rels'] = wrong_matched_LO_rels
# session['missing_LO_rels'] = missing_LO_rels
# session['correctnessAccuracy_LO'] = round(correctnessAccuracy_LO,2)
# print("total LO rels_mm...:", total_lO_rels_mm)
# print("total LO rels_sm...:", total_LO_rels_sm)
# print("matched LO rels...:", matched_LO_rels)
# print("wrong matched LO rels...:", wrong_matched_LO_rels)
# print("missing LO rels...:", missing_LO_rels)
# print("======================================")
"""
Measure the correct relations using LeftRight
alogn the defined route
"""
total_LR_rels_mm = qualitativeAnalyser.getTotalLeftRightRelations_mm(metricMapQCNs)
total_LR_rels_sm = qualitativeAnalyser.getTotalLeftRightRelations_sm(sketchMapQCNs)
matched_LR_rels = qualitativeAnalyser.getCorrectrelations_leftRight(sketchMapQCNs, metricMapQCNs)
wrong_matched_LR_rels = qualitativeAnalyser.getWrongCorrectrelations_leftRight(sketchMapQCNs, metricMapQCNs)
missing_LR_rels = total_LR_rels_mm - (matched_LR_rels + wrong_matched_LR_rels)
if matched_LR_rels != 0 or total_LR_rels_sm != 0:
correctnessAccuracy_LR = (matched_LR_rels / total_LR_rels_sm) * 100
else:
correctnessAccuracy_LR = 0.00
# session['total_LR_rels_mm'] = total_LR_rels_mm
# session['total_LR_rels_sm'] = total_LR_rels_sm
# session['matched_LR_rels'] = matched_LR_rels
# session['wrong_matched_LR_rels'] = wrong_matched_LR_rels
# session['missing_LR_rels'] = missing_LR_rels
# session['correctnessAccuracy_LR'] = round(correctnessAccuracy_LR, 2)
# print("total LR rels_mm...:", total_LR_rels_mm)
# print("total LR rels_sm...:", total_LR_rels_sm)
# print("matched LR rels...:", matched_LR_rels)
# print("wrong matched LR rels...:", wrong_matched_LR_rels)
# print("missing LR rels...:", missing_LR_rels)
# print("======================================")
"""
Measure the correct relations using Topologocal Relations between streets and regions
"""
total_DE9IM_rels_mm = qualitativeAnalyser.getTotalDE9IMRelations_mm(metricMapQCNs)
total_DE9IM_rels_sm = qualitativeAnalyser.getTotalDE9IMRelations_sm(sketchMapQCNs)
matched_DE9IM_rels = qualitativeAnalyser.getCorrectrelations_DE9IM(sketchMapQCNs, metricMapQCNs)
wrong_matched_DE9IM_rels = qualitativeAnalyser.getWrongCorrectrelations_DE9IM(sketchMapQCNs, metricMapQCNs)
missing_DE9IM_rels = total_DE9IM_rels_mm - (matched_DE9IM_rels + wrong_matched_DE9IM_rels)
if matched_DE9IM_rels != 0 or total_DE9IM_rels_sm != 0:
correctnessAccuracy_DE9IM = (matched_DE9IM_rels / total_DE9IM_rels_sm) * 100
else:
correctnessAccuracy_DE9IM = 0.00
# session['total_DE9IM_rels_mm'] = total_DE9IM_rels_mm
# session['total_DE9IM_rels_sm'] = total_DE9IM_rels_sm
# session['matched_DE9IM_rels'] = matched_DE9IM_rels
# session['wrong_matched_DE9IM_rels'] = wrong_matched_DE9IM_rels
# session['missing_DE9IM_rels'] = missing_DE9IM_rels
# session['correctnessAccuracy_DE9IM'] = round(correctnessAccuracy_DE9IM, 2)
# print("total DE9IM rels_mm...:", total_DE9IM_rels_mm)
# print("total DE9IM rels_sm...:", total_DE9IM_rels_sm)
# print("matched DE9IM rels...:", matched_DE9IM_rels)
# print("wrong matched DE9IM rels...:", wrong_matched_DE9IM_rels)
# print("missing DE9IM rels...:", missing_DE9IM_rels)
# print("======================================")
"""
Measure the correct relations using Topologocal Relations between streets
"""
total_streetTop_rels_mm = qualitativeAnalyser.getTotalStreetTopology_mm(metricMapQCNs)
total_streetTop_rels_sm = qualitativeAnalyser.getTotalStreetTopology_sm(sketchMapQCNs)
matched_streetTop_rels = qualitativeAnalyser.getCorrectrelations_streetTopology(sketchMapQCNs, metricMapQCNs)
wrong_matched_streetTop_rels = qualitativeAnalyser.getWrongCorrectrelations_streetTopology(sketchMapQCNs, metricMapQCNs)
missing_streetTop_rels = total_streetTop_rels_mm - (matched_streetTop_rels + wrong_matched_streetTop_rels)
if matched_streetTop_rels != 0 or total_streetTop_rels_sm != 0:
correctnessAccuracy_streetTop = (matched_streetTop_rels / total_streetTop_rels_sm) * 100
else:
correctnessAccuracy_streetTop = 0.00
# session['total_streetTop_rels_mm'] = total_streetTop_rels_mm
# session['total_streetTop_rels_sm'] = total_streetTop_rels_sm
# session['matched_streetTop_rels'] = matched_streetTop_rels
# session['wrong_matched_streetTop_rels'] = wrong_matched_streetTop_rels
# session['missing_streetTop_rels'] = missing_streetTop_rels
# session['correctnessAccuracy_streetTop'] = round(correctnessAccuracy_streetTop, 2)
# print("total streetTop rels_mm...:", total_streetTop_rels_mm)
# print("total streetTop rels_sm...:", total_streetTop_rels_sm)
# print("matched streetTop rels...:", matched_streetTop_rels)
# print("wrong matched streetTop rels...:", wrong_matched_streetTop_rels)
# print("missing streetTop rels...:", missing_streetTop_rels)
# print("======================================")
"""
Measure the correct relations using Orientation Relations between streets
"""
total_opra_rels_mm = qualitativeAnalyser.getTotalOPRA_mm(metricMapQCNs)
total_opra_rels_sm = qualitativeAnalyser.getTotalOPRA_sm(sketchMapQCNs)
matched_opra_rels = qualitativeAnalyser.getCorrectrelations_opra(sketchMapQCNs, metricMapQCNs)
wrong_matched_opra_rels = qualitativeAnalyser.getWrongCorrectrelations_opra(sketchMapQCNs, metricMapQCNs)
missing_opra_rels = total_opra_rels_mm - (matched_opra_rels + wrong_matched_opra_rels)
if matched_opra_rels != 0 or total_opra_rels_sm != 0:
correctnessAccuracy_opra = (matched_opra_rels / total_opra_rels_sm) * 100
else:
correctnessAccuracy_opra=0.00
# session['total_opra_rels_mm'] = total_opra_rels_mm
# session['total_opra_rels_sm'] = total_opra_rels_sm
# session['matched_opra_rels'] = matched_opra_rels
# session['wrong_matched_opra_rels'] = wrong_matched_opra_rels
# session['missing_opra_rels'] = missing_opra_rels
# session['correctnessAccuracy_opra'] = round(correctnessAccuracy_opra, 2)
# print("total opra rels_mm...:", total_opra_rels_mm)
# print("total opra rels_sm...:", total_opra_rels_sm)
# print("matched opra rels...:", matched_opra_rels)
# print("wrong matched opra rels...:", wrong_matched_opra_rels)
# print("missing opra rels...:", missing_opra_rels)
# print("======================================")
"""
Calculate Recision and Recall
"""
total_no_correct_rels = correctRCC11Relations + matched_LO_rels + matched_LR_rels + matched_DE9IM_rels + matched_streetTop_rels + matched_opra_rels
total_no_rels_sm = totalRCC11Relations + total_LO_rels_sm + total_LR_rels_sm + total_DE9IM_rels_sm + total_streetTop_rels_sm + total_opra_rels_sm
total_on_rels_MM = totalRCC11Relations_mm + total_lO_rels_mm + total_LR_rels_mm + total_DE9IM_rels_mm + total_streetTop_rels_mm + total_opra_rels_mm
precision = total_no_correct_rels / total_no_rels_sm
recall = total_no_correct_rels / total_on_rels_MM
f_score = 2 * ((precision * recall) / (precision + recall))
#session['precision'] = round(precision,2)
#session['recall'] = round(recall,2)
#session['f_score'] = round(f_score,2)
#session['clickedAnalyzer'] = "clickedAnalyzer"
print("precision....:", precision)
print("recall....:", recall)
print("F-value....:", f_score)
#session.modified = True
return json.dumps({"sketchMapID": sketchFileName, "total_mm_landmarks": total_mm_landmarks,
"toal_mm_streets": toal_mm_streets, "total_mm_cityblocks": total_mm_cityblocks,
"totalSketchedLandmarks": totalSketchedLandmarks,
"totalSketchedStreets": totalSketchedStreets,
"totalSketchedCityblocks": totalSketchedCityblocks,
"landmarkCompleteness": landmarkCompleteness,
"streetCompleteness": streetCompleteness, "cityblockCompleteness": cityblockCompleteness,
"overAllCompleteness": round(overAllCompleteness, 2),
"totalRCC11Relations_mm": totalRCC11Relations_mm, "totalRCC11Relations": totalRCC11Relations,
"correctRCC11Relations": correctRCC11Relations,
"wrongMatchedRCC11rels": wrongMatchedRCC11rels,
"missingRCC11rels": missingRCC11rels,
"correctnessAccuracy_rcc11": round(correctnessAccuracy_rcc11, 2),
"total_lO_rels_mm": total_lO_rels_mm, "total_LO_rels_sm": total_LO_rels_sm,
"matched_LO_rels": matched_LO_rels, "wrong_matched_LO_rels": wrong_matched_LO_rels,
"missing_LO_rels": missing_LO_rels,
"correctnessAccuracy_LO": round(correctnessAccuracy_LO, 2),
"total_LR_rels_mm": total_LR_rels_mm,
"total_LR_rels_sm": total_LR_rels_sm, "matched_LR_rels": matched_LR_rels,
"wrong_matched_LR_rels": wrong_matched_LR_rels, "missing_LR_rels": missing_LR_rels,
"correctnessAccuracy_LR": round(correctnessAccuracy_LR, 2),
"total_DE9IM_rels_mm": total_DE9IM_rels_mm, "total_DE9IM_rels_sm": total_DE9IM_rels_sm,
"matched_DE9IM_rels": matched_DE9IM_rels,
"wrong_matched_DE9IM_rels": wrong_matched_DE9IM_rels,
"missing_DE9IM_rels": missing_DE9IM_rels,
"correctnessAccuracy_DE9IM": round(correctnessAccuracy_DE9IM, 2),
"total_streetTop_rels_mm": total_streetTop_rels_mm,
"total_streetTop_rels_sm": total_streetTop_rels_sm,
"matched_streetTop_rels": matched_streetTop_rels,
"wrong_matched_streetTop_rels": wrong_matched_streetTop_rels,
"missing_streetTop_rels": missing_streetTop_rels,
"correctnessAccuracy_streetTop": round(correctnessAccuracy_streetTop, 2),
"total_opra_rels_mm": total_opra_rels_mm, "total_opra_rels_sm": total_opra_rels_sm,
"matched_opra_rels": matched_opra_rels, "wrong_matched_opra_rels": wrong_matched_opra_rels,
"missing_opra_rels": missing_opra_rels,
"correctnessAccuracy_opra": round(correctnessAccuracy_opra, 2),
"precision": round(precision, 2),
"recall": round(recall, 2),
"f_score": round(f_score, 2)})
# @app.route('/results/', methods=['GET'])
# def profile():
# return render_template('results.html', name=session['username'])
if __name__ == '__main__':
#app.secret_key = "root1234code"
app.run()
"""
return json.dumps({"sketchMapID":sketchFileName, "total_mm_landmarks":total_mm_landmarks,
"toal_mm_streets":toal_mm_streets, "total_mm_cityblocks":total_mm_cityblocks,
"totalSketchedLandmarks":totalSketchedLandmarks, "totalSketchedStreets":totalSketchedStreets,
"totalSketchedCityblocks":totalSketchedCityblocks, "landmarkCompleteness":landmarkCompleteness,
"streetCompleteness":streetCompleteness, "cityblockCompleteness":cityblockCompleteness,
"overAllCompleteness":round(overAllCompleteness, 2),
"totalRCC11Relations_mm":totalRCC11Relations_mm, "totalRCC11Relations":totalRCC11Relations,
"correctRCC11Relations":correctRCC11Relations, "wrongMatchedRCC11rels":wrongMatchedRCC11rels,
"missingRCC11rels":missingRCC11rels,
"correctnessAccuracy_rcc11":round(correctnessAccuracy_rcc11, 2),
"total_lO_rels_mm":total_lO_rels_mm, "total_LO_rels_sm":total_LO_rels_sm,
"matched_LO_rels":matched_LO_rels, "wrong_matched_LO_rels":wrong_matched_LO_rels,
"missing_LO_rels":missing_LO_rels,
"correctnessAccuracy_LO":round(correctnessAccuracy_LO, 2), "total_LR_rels_mm":total_LR_rels_mm,
"total_LR_rels_sm":total_LR_rels_sm, "matched_LR_rels":matched_LR_rels,
"wrong_matched_LR_rels":wrong_matched_LR_rels, "missing_LR_rels":missing_LR_rels,
"correctnessAccuracy_LR":round(correctnessAccuracy_LR, 2),
"total_DE9IM_rels_mm":total_DE9IM_rels_mm, "total_DE9IM_rels_sm":total_DE9IM_rels_sm,
"matched_DE9IM_rels":matched_DE9IM_rels, "wrong_matched_DE9IM_rels":wrong_matched_DE9IM_rels,
"missing_DE9IM_rels":missing_DE9IM_rels,
"correctnessAccuracy_DE9IM":round(correctnessAccuracy_DE9IM, 2),
"total_streetTop_rels_mm":total_streetTop_rels_mm,
"total_streetTop_rels_sm":total_streetTop_rels_sm,
"matched_streetTop_rels":matched_streetTop_rels,
"wrong_matched_streetTop_rels":wrong_matched_streetTop_rels,
"missing_streetTop_rels":missing_streetTop_rels,
"correctnessAccuracy_streetTop":round(correctnessAccuracy_streetTop, 2),
"total_opra_rels_mm":total_opra_rels_mm, "total_opra_rels_sm":total_opra_rels_sm,
"matched_opra_rels":matched_opra_rels, "wrong_matched_opra_rels":wrong_matched_opra_rels,
"missing_opra_rels":missing_opra_rels,
"correctnessAccuracy_opra":round(correctnessAccuracy_opra, 2),
"precision":round(precision, 2),
"recall":round(recall, 2),
"f_score":round(f_score, 2)})
"""
"""
return render_template('resultSummary.html', sketchMapID=sketchFileName, total_mm_landmarks=total_mm_landmarks,
toal_mm_streets=toal_mm_streets, total_mm_cityblocks=total_mm_cityblocks,
totalSketchedLandmarks=totalSketchedLandmarks, totalSketchedStreets=totalSketchedStreets,
totalSketchedCityblocks=totalSketchedCityblocks, landmarkCompleteness=landmarkCompleteness,
streetCompleteness=streetCompleteness, cityblockCompleteness=cityblockCompleteness,
overAllCompleteness=round(overAllCompleteness, 2),
totalRCC11Relations_mm=totalRCC11Relations_mm, totalRCC11Relations=totalRCC11Relations,
correctRCC11Relations=correctRCC11Relations, wrongMatchedRCC11rels=wrongMatchedRCC11rels,
missingRCC11rels=missingRCC11rels,
correctnessAccuracy_rcc11=round(correctnessAccuracy_rcc11, 2),
total_lO_rels_mm=total_lO_rels_mm, total_LO_rels_sm=total_LO_rels_sm,
matched_LO_rels=matched_LO_rels, wrong_matched_LO_rels=wrong_matched_LO_rels,
missing_LO_rels=missing_LO_rels,
correctnessAccuracy_LO=round(correctnessAccuracy_LO, 2), total_LR_rels_mm=total_LR_rels_mm,
total_LR_rels_sm=total_LR_rels_sm, matched_LR_rels=matched_LR_rels,
wrong_matched_LR_rels=wrong_matched_LR_rels, missing_LR_rels=missing_LR_rels,
correctnessAccuracy_LR=round(correctnessAccuracy_LR, 2),
total_DE9IM_rels_mm=total_DE9IM_rels_mm, total_DE9IM_rels_sm=total_DE9IM_rels_sm,
matched_DE9IM_rels=matched_DE9IM_rels, wrong_matched_DE9IM_rels=wrong_matched_DE9IM_rels,
missing_DE9IM_rels=missing_DE9IM_rels,
correctnessAccuracy_DE9IM=round(correctnessAccuracy_DE9IM, 2),
total_streetTop_rels_mm=total_streetTop_rels_mm,
total_streetTop_rels_sm=total_streetTop_rels_sm,
matched_streetTop_rels=matched_streetTop_rels,
wrong_matched_streetTop_rels=wrong_matched_streetTop_rels,
missing_streetTop_rels=missing_streetTop_rels,
correctnessAccuracy_streetTop=round(correctnessAccuracy_streetTop, 2),
total_opra_rels_mm=total_opra_rels_mm, total_opra_rels_sm=total_opra_rels_sm,
matched_opra_rels=matched_opra_rels, wrong_matched_opra_rels=wrong_matched_opra_rels,
missing_opra_rels=missing_opra_rels,
correctnessAccuracy_opra=round(correctnessAccuracy_opra, 2), precision=round(precision, 2),
recall=round(recall, 2),
f_score=round(f_score, 2))
"""