Example #1
0
def get_appid():
    #return config_common.WXAPP_ID
    if not config_common.WXAPP_ID:
        raise ApplicationException(errcode=ERROR_MISSING_WXAPP_ID, )
    return config_common.WXAPP_ID
Example #2
0
def get_appsecret():
    if not config_common.WXAPP_SECRET:
        raise ApplicationException(errcode=ERROR_MISSING_WXAPP_SECRET, )
    return config_common.WXAPP_SECRET
Example #3
0
    async def get_similar_trajectories2(self, mmsi: int, from_date: Optional[datetime] = None, to_date: Optional[datetime] = None, distance_in_km: float = 5) -> List[dict]:
        

        pipeline = [
            {
                '$match': {
                    'mmsi':  mmsi, 
                    'timestamp': {
                        '$gte': from_date, 
                        '$lt': to_date
                    }
                }
            }, {
                '$sort': {
                    'timestamp': 1
                }
            }, {
                '$group': {
                    '_id': '$mmsi', 
                    'locations': {
                        '$push': '$location'
                    }
                }
            }, 
            {
                '$project': {
                    '_id': 0, 
                    'type': 'lineString', 
                    'locations': {
                        '$map': {
                            'input': '$locations', 
                            'as': 'location', 
                            'in': '$$location.coordinates'
                        }
                    }
                }
            }, 
        ]

        vessel_trajectories = await self.db[self.dynamic_collection].aggregate(pipeline).to_list(length=None)
        

        if not len(vessel_trajectories):
            raise ApplicationException(404, "Trajectory Of this vessel was not found within this time limits")

        vessel_trajectory = vessel_trajectories[0]
        locations_count = len(vessel_trajectory['locations'])
     

        if not locations_count:
            raise ApplicationException(400, "Empty trajectory")

        polygon = polygon_from_line_string(vessel_trajectory['locations'], distance_in_km)
        # last = vessel_trajectory['locations'][-1]
        # first = vessel_trajectory['locations'][0]
        # return {
        #     'type': 'Feature',
        #     'geometry': {
        #         'type': 'Polygon',
        #         'coordinates': polygon
        #     }
        # }
        f = from_date - timedelta(days = 10)
        t = to_date + timedelta(days = 10)
        pipeline = [
            {
                '$match': {
                    'mmsi': {'$ne': mmsi},
                    'timestamp': {
                        '$gte': f, 
                        '$lt': t
                    },
                    'location': {       
                        '$geoWithin': {          
                            '$geometry': {             
                                'type': "Polygon" ,             
                                'coordinates': polygon         
                            }       
                        }    
                    }  
                }
            },
            {'$sort': {'timestamp': 1}},
            {
                '$group': {
                    '_id': '$mmsi', 
                    'locations': {
                        '$push': '$location'
                    },
                    'start': {'$first': '$timestamp'},
                    'end': {'$last': '$timestamp'}
                }
            }, 
            {
                '$project': {
                    '_id': 0, 
                    'type': 'lineString', 
                    'mmsi': '$_id',
                    'locations': {
                        '$map': {
                            'input': '$locations', 
                            'as': 'location', 
                            'in': '$$location.coordinates'
                        }
                    },
                    'start': 1,
                    'end': 1
                }
            },
            {
                '$match': 
                {
                    '$expr': {
                        '$function': {
                            'body': """function(vessel, v){

                                ( function() {
  
    function DynamicTimeWarping ( ts1, ts2, distanceFunction ) {
        var ser1 = ts1;
        var ser2 = ts2;
        var distFunc = distanceFunction;
        var distance;
        var matrix;
        var path;

        var getDistance = function() {
            if ( distance !== undefined ) {
                return distance;
            }
            matrix = [];
            for ( var i = 0; i < ser1.length; i++ ) {
                matrix[ i ] = [];
                for ( var j = 0; j < ser2.length; j++ ) {
                    var cost = Infinity;
                    if ( i > 0 ) {
                        cost = Math.min( cost, matrix[ i - 1 ][ j ] );
                        if ( j > 0 ) {
                            cost = Math.min( cost, matrix[ i - 1 ][ j - 1 ] );
                            cost = Math.min( cost, matrix[ i ][ j - 1 ] );
                        }
                    } else {
                        if ( j > 0 ) {
                            cost = Math.min( cost, matrix[ i ][ j - 1 ] );
                        } else {
                            cost = 0;
                        }
                    }
                    matrix[ i ][ j ] = cost + distFunc( ser1[ i ], ser2[ j ] );
                }
            }

            return matrix[ ser1.length - 1 ][ ser2.length - 1 ];
        };

        this.getDistance = getDistance;

        var getPath = function() {
            if ( path !== undefined ) {
                return path;
            }
            if ( matrix === undefined ) {
                getDistance();
            }
            var i = ser1.length - 1;
            var j = ser2.length - 1;
            path = [ [ i, j ] ];
            while ( i > 0 || j > 0 ) {
                if ( i > 0 ) {
                    if ( j > 0 ) {
                        if ( matrix[ i - 1 ][ j ] < matrix[ i - 1 ][ j - 1 ] ) {
                            if ( matrix[ i - 1 ][ j ] < matrix[ i ][ j - 1 ] ) {
                                path.push( [ i - 1, j ] );
                                i--;
                            } else {
                                path.push( [ i, j - 1 ] );
                                j--;
                            }
                        } else {
                            if ( matrix[ i - 1 ][ j - 1 ] < matrix[ i ][ j - 1 ] ) {
                                path.push( [ i - 1, j - 1 ] );
                                i--;
                                j--;
                            } else {
                                path.push( [ i, j - 1 ] );
                                j--;
                            }
                        }
                    } else {
                        path.push( [ i - 1, j ] );
                        i--;
                    }
                } else {
                    path.push( [ i, j - 1 ] );
                    j--;
                }
            }
            path = path.reverse();

            return path;
        };

        this.getPath = getPath;
    }

    var root = typeof self === "object" && self.self === self && self ||
        typeof global === "object" && global.global === global && global ||
        this;

    if ( typeof exports !== "undefined" && !exports.nodeType ) {
        if ( typeof module !== "undefined" && !module.nodeType && module.exports ) {
            exports = module.exports = DynamicTimeWarping;
        }
        exports.DynamicTimeWarping = DynamicTimeWarping;
    } else {
        root.DynamicTimeWarping = DynamicTimeWarping;
    }

    if ( typeof define === "function" && define.amd ) {
        define( "dynamic-time-warping", [], function() {
            return DynamicTimeWarping;
        } );
    }
}() );

                               

                                var dtw = new DynamicTimeWarping(v, vessel, function(v_coord, vessel_coord){
                                    var lat1 = v_coord[1]
                                    var lon1 =  v_coord[0]
                                    var lat2 = vessel_coord[1]
                                    var lon2= vessel_coord[0]

                                    var R = 6371e3; // metres
                                    var φ1 = lat1 * Math.PI/180; // φ, λ in radians
                                    var φ2 = lat2 * Math.PI/180;
                                    var Δφ = (lat2-lat1) * Math.PI/180;
                                    var Δλ = (lon2-lon1) * Math.PI/180;

                                    var a = Math.sin(Δφ/2) * Math.sin(Δφ/2) +
                                            Math.cos(φ1) * Math.cos(φ2) *
                                            Math.sin(Δλ/2) * Math.sin(Δλ/2);
                                    var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));

                                    var d = R * c; // in metres
                                    
                                    return d
                                });

                                var path = dtw.getPath()
                                //return path.length > (0.7 * vessel.length)
                                return ((dtw.getDistance() / path.length) < 2000) && (path.length > (0.7 * vessel.length)) && (path.length > (1.2 * vessel.length));
                                
                            }""",
                            'args': [vessel_trajectory["locations"], '$locations'],
                            'lang': 'js'
                        }
                    }
                }
            },
            {
                '$project': {
                    # Convert to GeoJson
                    '_id': 0,
                    'type': 'Feature',
                    'geometry': {
                        'type': 'LineString',
                        'coordinates': '$locations'
                    },
                    'properties': {
                        'mmsi': '$mmsi',
                        'start': '$start',
                        'end': '$end'
                    },
                }
            }

        ]

        return  await self.db[self.dynamic_collection].aggregate(pipeline, hint="location_m", allowDiskUse=True).to_list(length=None)
Example #4
0
    def wapper(self, *args, **kwargs):

        _logger.debug('-----------user registing-----------')

        token = request.environ.get('HTTP_{}'.format(
            get_token_header_field().upper()))
        content_type = request.environ.get('CONTENT_TYPE')

        _logger.debug({'content_type': content_type, 'token': token})

        if not content_type or not content_type.lower() == 'application/json':
            raise ApplicationException(errcode=ERROR_CONTENT_TYPE_NOT_JSON, )

        if not token:
            raise ApplicationException(errcode=ERROR_REGISTER_MISSING_TOKEN, )

        #params = request.form
        params = request.json

        _logger.debug(params)

        encryptedData_field_name = get_update_encryptedData_field_name()

        iv_field_name = get_update_iv_field_name()

        if not params.get(iv_field_name) or not params.get(
                encryptedData_field_name):
            raise ApplicationException(
                errcode=ERROR_REGISTER_MISSING_IV_OR_ENCRYPTED, )

        iv = params.get(iv_field_name)

        encryptedData = params.get(encryptedData_field_name)

        result_token = decrypt_token(token)
        openid = result_token['openid']

        try:
            user = User.objects.get(openid=openid)
        except:
            raise ApplicationException(
                errcode=ERROR_REGISTER_MISSING_IV_OR_ENCRYPTED, )

        session_key = user.session_key
        #session_key = 'HKUOhvaNYvMxGCt2BpjfJg=='

        result_userinfo = decrypt(session_key=session_key,
                                  iv=iv,
                                  encrypted=encryptedData)

        user = User.objects(openid=user.openid).update_one(
            session_key=session_key,
            nickname=result_userinfo.get('nickName'),
            avatar=result_userinfo.get('avatarUrl'),
            gender=result_userinfo.get('gender'),
            city=result_userinfo.get('city'),
            province=result_userinfo.get('province'),
            country=result_userinfo.get('country'),
            language=result_userinfo.get('language'),
            mobile=result_userinfo.get('mobile'),
            last_login_ts=now_ts())

        user = User.objects.get(openid=openid)

        self.wechat_user = user

        return func(self, *args, **kwargs)
Example #5
0
    async def knn(self, mmsi: str, when: datetime, max_distance: float = 1000, dt: int = 1, k: int=None):
        location_pipeline = [
            {
                '$match': {
                    'mmsi':  mmsi, 
                    'timestamp': {
                        '$gte': when - timedelta(seconds=30),
                        '$lt': when + timedelta(seconds=30)
                    }
                }
            },
            {'$limit': 1},
            {
                '$project': {
                    "_id": 0,
                    "location": 1
                }
            }
        ]

        locations = await self.db[self.dynamic_collection].aggregate(location_pipeline).to_list(length=None)

        if not len(locations):
            raise ApplicationException(404, "No location for this mmsi in this location")

        location = locations[0]['location']
   
        pipeline = [
            {
                '$geoNear': {
                    'near': location,
                    'distanceField': 'dist.calculated',
                    'maxDistance': max_distance,
                    'query': {
                        'mmsi': {"$ne": mmsi},
                        # 'timestamp': when
                        'timestamp': {
                            '$gte': when - timedelta(minutes=dt),
                            '$lt': when + timedelta(minutes=dt)
                        }
                    },
                    'includeLocs': 'dist.location',
                    'key': 'location',
                    'spherical': True
                }
            },
            {
                '$sort': {
                    'mmsi': 1,
                    'dist.calculated': 1
                }
            },
            {
                '$group': {
                    '_id': '$mmsi',
                    'locations': {'$first': '$dist'},
                    'timestamp': {'$first': '$timestamp'}
                }
            },            
            {
                '$project': {
                    '_id': 0,
                    'type': 'Feature',
                    'geometry': {
                        'type': 'Point',
                        'coordinates': '$locations.location.coordinates'
                    },
                    'properties': {
                        'mmsi': "$_id",
                        'timestamp': '$timestamp',
                        'minDist': '$locations.calculated'
                    }
                }
            }]

        if k:
            pipeline += [
                {
                '$sort': {
                    'properties.minDist': 1
                    }
                },
                {'$limit': k},
            ]

        return  await self.db[self.dynamic_collection].aggregate(pipeline).to_list(length=None)
Example #6
0
    async def get_similar_trajectories(self, mmsi: int, from_date: Optional[datetime] = None, to_date: Optional[datetime] = None, distance_in_km: float = 5) -> List[dict]:
        

        pipeline = [
            {
                '$match': {
                    'mmsi':  mmsi, 
                    'timestamp': {
                        '$gte': from_date, 
                        '$lt': to_date
                    }
                }
            }, {
                '$sort': {
                    'timestamp': 1
                }
            }, {
                '$group': {
                    '_id': '$mmsi', 
                    'locations': {
                        '$push': '$location'
                    }
                }
            }, {
                '$project': {
                    '_id': 0, 
                    'type': 'lineString', 
                    'locations': {
                        '$map': {
                            'input': '$locations', 
                            'as': 'location', 
                            'in': '$$location.coordinates'
                        }
                    }
                }
            }, 
        ]

        vessel_trajectories = await self.db.dynamic_data.aggregate(pipeline).to_list(length=None)
        

        if not len(vessel_trajectories):
            raise ApplicationException(404, "Trajectory Of this vessel was not found within this time limits")

        vessel_trajectory = vessel_trajectories[0]
        locations_count = len(vessel_trajectory['locations'])

        if not locations_count:
            raise ApplicationException(400, "Empty trajectory")

        polygon = polygon_from_line_string(vessel_trajectory['locations'], distance_in_km)
        last = vessel_trajectory['locations'][-1]
        first = vessel_trajectory['locations'][0]
  
        f = from_date - timedelta(days = 10)
        t = to_date + timedelta(days = 10)

        # return {
        #     'type': 'Feature',
        #     'geometry': {
        #         'type': 'Polygon',
        #         'coordinates': polygon
        #     },
        #     'properties': {}
        # }

        pipeline = [
            {
                '$match': {
                    'mmsi': {'$ne': mmsi},
                    'timestamp': {
                        '$gte': f, 
                        '$lt': t
                    },
                    'location': {       
                        '$geoWithin': {          
                            '$geometry': {             
                                'type': "Polygon" ,             
                                'coordinates': polygon         
                            }       
                        }    
                    }  
                }
            },
            {'$sort': {'timestamp': 1}},
            {
                '$group': 
                {
                    '_id': "$mmsi",
                    'trajectories': {
                        '$accumulator': {
                            'init': "function() { return [[]] }",
                            'accumulate': """function(state, location, timestamp) {
                                var calc_dist = function(v_coord, vessel_coord){
                                    var lat1 = v_coord[1]
                                    var lon1 =  v_coord[0]
                                    var lat2 = vessel_coord[1]
                                    var lon2= vessel_coord[0]

                                    var R = 6371e3; // metres
                                    var φ1 = lat1 * Math.PI/180; // φ, λ in radians
                                    var φ2 = lat2 * Math.PI/180;
                                    var Δφ = (lat2-lat1) * Math.PI/180;
                                    var Δλ = (lon2-lon1) * Math.PI/180;

                                    var a = Math.sin(Δφ/2) * Math.sin(Δφ/2) +
                                            Math.cos(φ1) * Math.cos(φ2) *
                                            Math.sin(Δλ/2) * Math.sin(Δλ/2);
                                    var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));

                                    var d = R * c; // in metres
                                    
                                    return d
                                }

                                var l = state.slice(-1)[0]
                                
                                if(l.length == 0){
                                l.push({coordinates: location.coordinates, timestamp: timestamp})
                                } else {
                                
                                    var llt = l.slice(-1)[0].timestamp
                                    var diff =(timestamp.getTime() - llt.getTime()) / 1000;
                                    diff /= 10; 
                                    
                                    if(diff > 60) {
                                        state.push([{coordinates: location.coordinates, timestamp: timestamp}])
                                    } else {
                                        llc = l.slice(-1)[0].coordinates

                                      

                                        var dist = calc_dist(location.coordinates, llc)

                                        if(dist > 10) {
                                            l.push({coordinates: location.coordinates, timestamp: timestamp})
                                        } 

                                       
                                    }
                                }
                                
                                return state
                            
                            }""",

                            'accumulateArgs': ["$location", "$timestamp"],

                            'merge': "function(state1, state2) { return state1.concat(state2) }"
                        }
                    }
                }
            },
            # {
            #     '$project': {
            #         '_id': 0,
            #         'mmsi': "$_id",
            #         'trajectories': {
            #             '$filter': {
            #                 "input": "$trajectories",
            #                 "as": "trajectory",
            #                 "cond": {'$gt': [{'$size': "$$trajectory"}, int(locations_count * 0.8)]} 
            #             }
            #         }
            #     }
            # },
            {
                '$project': {
                    '_id': 0,
                    'mmsi': "$_id",
                    'trajectories': '$trajectories'
                }
            },
        ]

        r = await self.db.dynamic_data.aggregate(pipeline, hint="location_m", allowDiskUse=True).to_list(length=None)

        result = []

        def calc_dist(lon1, lat1, lon2, lat2, cutoff=500):
            """
            Calculate the great circle distance between two points 
            on the earth (specified in decimal degrees)
            """
            # convert decimal degrees to radians 
            lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])

            # haversine formula 
            dlon = lon2 - lon1 
            dlat = lat2 - lat1 
            a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2
            c = 2 * asin(sqrt(a)) 
            r = 6371100 # Radius of earth in m
            d = c * r

            if d > cutoff:
                return None
            
            return True


        def transform(trajectory):
            traject = [ pair["coordinates"] for pair in trajectory ]
            
            en = False
            st = False

            for pair in traject:
                if st and en:
                    break
                
                if not st:
                    if calc_dist(pair[0], pair[1], first[0], first[1], 500):
                        st = True
                
                if not en:
                    if calc_dist(pair[0], pair[1], last[0], last[1], 500):
                        en = True


            # en = calc_dist(traject[-1][0], traject[-1][1], last[0], last[1], 500)
            # st = calc_dist(traject[0][0], traject[0][1], first[0], first[1], 500)

            return st and en and traject

        for ship in r:
            
            coordinates = [ transform(trajectory) for trajectory in ship["trajectories"]]
            coordinates  = [ t for t in  coordinates if t]

            o = {
                'type': 'Feature',
                'geometry': {
                    'type': "MultiLineString",
                    'coordinates': coordinates
                },
                'properties': {
                    'mmsi': ship["mmsi"]
                }
            }

            if len(coordinates):
                result.append(o)
                
        return result
Example #7
0
	def wrapper(self, request, *args, **kwargs):

		_logger.debug(request.__dict__)

		_logger.debug('-----------user logining------------')

		content_type = request.environ.get('CONTENT_TYPE')

		if not content_type or not content_type.lower() == 'application/json':
			raise ApplicationException(
				errcode=ERROR_CONTENT_TYPE_NOT_JSON,
			)

		code_field_name = get_login_code_field_name()

		#params = request.form
		#params = request.json 				#  flask-wechat-utils
		#params = json.loads(request.body)	# django
		params = request.data 				# rest framework

		_logger.debug(params)

		code = params.get(code_field_name)

		_logger.debug({'content_type':content_type,'code':code})

		if not code:
			raise ApplicationException(
				errcode=ERROR_LOGIN_CODE_MISSING,
			)

		result_login = get_session_key_from_weixin(
			appid=get_appid(),
			appsecret=get_appsecret(),
			js_code=params.get(code_field_name)
		)

		#success
		if result_login.get('session_key') and result_login.get('openid'):

			try:
				user = User.objects.get(openid=result_login['openid'])
			except:
				user = None

			#create
			if not user:
				try:
					User.objects.create(
						session_key=result_login['session_key'],
						openid=result_login['openid'],
						last_login_ts=now_ts()
					).save()
				except:
					raise ApplicationException(
						errcode=ERROR_LOGIN_MONGO_CREATE_FAIL,
					)
			#update
			else:
				try:
					user.session_key=result_login.get('session_key')
					user.last_login_ts=now_ts()
					user.last_ping_ts=now_ts()
					user.save()
				except:
					raise ApplicationException(
						errcode=ERROR_LOGIN_MONGO_UPDATE_FAIL,
					)

			user = User.objects.get(openid=result_login['openid'])

			userinfo = {}

			for key in get_token_fields_required():
				value = getattr(user,key)
				userinfo[key] = value

			request.wechat_user_token = encrypt_token(userinfo)

			request.wechat_user = user
		# #fail
		# elif result_login.get('errcode') == 45011:
		# 	raise ApplicationException(
		# 		errcode=ERROR_LOGIN_CODE_FREQUENCY_LIMIT,
		# 	)
		# elif result_login.get('errcode') == -1:
		# 	raise ApplicationException(
		# 		errcode=ERROR_LOGIN_CODE_WEIXIN_BUSY,
		# 	)
		# elif result_login.get('errcode') == 40029:
		# 	raise ApplicationException(
		# 		errcode=ERROR_LOGIN_CODE_LOST_EFFECT,
		# 	)
		else:
			_logger.debug(result_login)
			raise ApplicationException(
				errcode=ERROR_LOGIN_CODE_NO_WHY,
			)

		return func(self, request, *args, **kwargs)
Example #8
0
def get_token_salt():
	if not isinstance(config_common.TOKEN_SALT, str):
		raise ApplicationException(
			errcode=ERROR_CONFIG_TOKEN_SALT_WRONG,
		)
	return config_common.TOKEN_SALT
Example #9
0
def get_update_iv_field_name():
	if not isinstance(config_common.UPDATE_IV_FIELD_NAME, str):
		raise ApplicationException(
			errcode=ERROR_CONFIG_UPDATE_IV_FIELD_NAME_WRONG,
		)
	return config_common.UPDATE_IV_FIELD_NAME
Example #10
0
def get_update_encryptedData_field_name():
	if not isinstance(config_common.UPDATE_ENCRYPTEDDATA_FIELD_NAME, str):
		raise ApplicationException(
			errcode=ERROR_CONFIG_UPDATE_ENCRYPTEDDATA_FIELD_NAME_WRONG,
		)
	return config_common.UPDATE_ENCRYPTEDDATA_FIELD_NAME
Example #11
0
def get_login_code_field_name():
	if not isinstance(config_common.LOGIN_CODE_FIELD_NAME, str):
		raise ApplicationException(
			errcode=ERROR_CONFIG_LOGIN_CODE_FIELD_NAME_WRONG,
		)
	return config_common.LOGIN_CODE_FIELD_NAME
Example #12
0
def get_token_header_field():
	if not isinstance(config_common.TOKEN_HEADER_FIELD, str):
		raise ApplicationException(
			errcode=ERROR_CONFIG_TOKEN_HEADER_FIELD_WRONG,
		)
	return config_common.TOKEN_HEADER_FIELD
Example #13
0
def get_token_fields_required():
	if not isinstance(config_common.TOKEN_FIELDS_REQUIRED, list):
		raise ApplicationException(
			errcode=ERROR_CONFIG_TOKEN_FIELDS_REQUIRED_WRONG,
		)
	return config_common.TOKEN_FIELDS_REQUIRED
Example #14
0
def get_web_name():
    if not isinstance(config_common.WEB_NAME, str):
        raise ApplicationException(errcode=ERROR_CONFIG_WEB_NAME_WRONG, )
    return config_common.WEB_NAME
Example #15
0
	def wrapper(self, request, *args, **kwargs):

		_logger.debug('-----------user registing-----------')

		token = request.environ.get('HTTP_{}'.format(get_token_header_field().upper()))
		content_type = request.environ.get('CONTENT_TYPE')

		_logger.debug({'content_type':content_type,'token':token})

		if not content_type or not content_type.lower() == 'application/json':
			raise ApplicationException(
				errcode=ERROR_CONTENT_TYPE_NOT_JSON,
			)

		if not token:
			raise ApplicationException(
				errcode=ERROR_REGISTER_MISSING_TOKEN,
			)

		#params = request.form
		#params = request.json 				# flask-wechat-utils
		params = request.data 				# rest framework

		_logger.debug(params)

		encryptedData_field_name = get_update_encryptedData_field_name()

		iv_field_name = get_update_iv_field_name()

		if not params.get(iv_field_name) or not params.get(encryptedData_field_name):
			raise ApplicationException(
				errcode=ERROR_REGISTER_MISSING_IV_OR_ENCRYPTED,
			)

		iv = params.get(iv_field_name)

		encryptedData = params.get(encryptedData_field_name)

		result_token = decrypt_token(token)
		openid = result_token['openid']

		try:
			user = User.objects.get(openid=openid)
		except:
			raise ApplicationException(
				errcode=ERROR_REGISTER_MISSING_IV_OR_ENCRYPTED,
			)

		session_key = user.session_key
		#session_key = 'HKUOhvaNYvMxGCt2BpjfJg=='

		result_userinfo = decrypt(
			session_key = session_key,
			iv=iv,
			encrypted=encryptedData
		)

		mobile = '' if result_userinfo.get('mobile') == None else result_userinfo.get('mobile')
		nickName = '' if result_userinfo.get('nickName') == None else result_userinfo.get('nickName')
		avatarUrl = '' if result_userinfo.get('avatarUrl') == None else result_userinfo.get('avatarUrl')
		gender = '' if result_userinfo.get('gender') == None else result_userinfo.get('gender')
		city = '' if result_userinfo.get('city') == None else result_userinfo.get('city')
		province = '' if result_userinfo.get('province') == None else result_userinfo.get('province')
		country = '' if result_userinfo.get('country') == None else result_userinfo.get('country')
		language = '' if result_userinfo.get('language') == None else result_userinfo.get('language')

		user.session_key=session_key
		user.nickname=nickName
		user.avatar=avatarUrl
		user.gender=gender
		user.city=city
		user.province=province
		user.country=country
		user.language=language
		user.mobile=mobile
		user.last_login_ts=now_ts()
		user.last_ping_ts=now_ts()
		user.save()

		user = User.objects.get(openid=openid)

		request.wechat_user = user

		return func(self, request, *args, **kwargs)
Example #16
0
def get_token_secret_key():
    if not isinstance(config_common.TOKEN_SECRET_KEY, str):
        raise ApplicationException(
            errcode=ERROR_CONFIG_TOKEN_SECRET_KEY_WRONG, )
    return config_common.TOKEN_SECRET_KEY
Example #17
0
def get_token_timeout_hours():
	if not isinstance(config_common.TOKEN_TIMEOUT_HOURS, int):
		raise ApplicationException(
			errcode=ERROR_CONFIG_TOKEN_TIMEOUT_HOURS_WRONG,
		)
	return config_common.TOKEN_TIMEOUT_HOURS