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app.py
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app.py
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from mqtt_sub import MQTTSubscriber
import psycopg2, psycopg2.pool
from flask import Flask, request, jsonify
from concurrent.futures import ThreadPoolExecutor
import signal
import sys
import json
import logging
import json
from flask import Response
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
from graphql import parse
import requests
import time
from retrying import retry
from cleanup.cleanup import cleanup_in_progress
from opencage.geocoder import OpenCageGeocode
# Initialize Flask application
app = Flask(__name__)
# Create a logger instance
logger = logging.getLogger('application_logger')
# Configure the logging settings
logger.setLevel(logging.INFO) # Set the log level (INFO, WARNING, ERROR, etc.)
# Create a file handler to write logs to a file
file_handler = logging.FileHandler('application.log')
file_handler.setLevel(logging.INFO)
# Create a console handler to print logs to the terminal
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(logging.INFO)
# Define the log message format
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
file_handler.setFormatter(formatter)
console_handler.setFormatter(formatter)
# Add the handlers to the logger
logger.addHandler(file_handler)
logger.addHandler(console_handler)
def connect_to_db():
# Connecting to db
try:
conn_pool = psycopg2.pool.SimpleConnectionPool(
minconn=1,
maxconn=10,
host="db",
port=5432,
database="bus_data",
user="ahmettugsuz",
password="bus_finland",
)
return conn_pool
except Exception as e:
print(f"Error connecting to the database: {e}")
return None
# Setting up the cursor
cursor = None
# method to get a connection from the pool
def get_connection(conn_key, conn_pool):
global cursor
conn = conn_pool.getconn(key=conn_key)
cursor = conn.cursor()
return conn
# Method to release a connection back to the pool
def release_connection(conn, conn_key, conn_pool):
conn_pool.putconn(conn=conn, key=conn_key)
# Method to close a specific connection
def close_connection(conn):
conn.close()
# Method to close all connestions in the pool
def close_all_connections(conn_pool):
conn_pool.closeall()
def start_subscriber(conn_pool, conn_key, conn):
"""
Mainly focusing on subscribing to the topic:
- We only collect the ongoing vehicles, in our case the buses.
- Geohashlevel is set to: 2, because we dont want the smallest changes at the coordinates
"""
# The broker address we want to connect to
broker_address = "mqtt.hsl.fi"
# Topic we want to subscribe to
topic = "/hfp/v2/journey/ongoing/+/bus/+/+/+/+/+/+/+/2/#"
# Creating an instance of MQTTSubscriber class
subscriber = MQTTSubscriber(broker_address=broker_address, topic=topic, conn_pool=conn_pool, conn_key=conn_key)
# Start consuming telemetry messages
subscriber.start()
# Release the connection back to the pool
release_connection(conn, conn_key, conn_pool)
def start_threads():
time.sleep(4) # Let the database start, and be ready to get connected, then we shall start our threads connection
conn_pool = connect_to_db()
if not conn_pool: # this happens mostly first time running the application with no previous run with the database, since it takes more time first time to configure for the database
logger.info("Retrying connection...")
time.sleep(7)
conn_pool = connect_to_db()
conn_key = "poolkey"
conn = get_connection(conn_key, conn_pool)
# Threading the subscriber class independently so that the class can run on max 5 threads simultaneously, while also the Flask app can run simultaneously when the app is running
executor_subscriber_class = ThreadPoolExecutor(max_workers=5) # threads has been tested between 1, 5 and 10, the benchmark of it showed that 5 was more suitable for the application with the CPU usage and so on.
#executor_subscriber_class.daemon = True
executor_subscriber_class.submit(start_subscriber, conn_pool, conn_key, conn)
return executor_subscriber_class
#The base API, with the most basic information about each bus
@app.route('/locations') # By default GET to retrieve data
def get_all_bus_locations():
"""
- Input: None
- Output: Returns updated bus json (with information, current_location etc.)
This method returns all logged bus information about their locations, tsi, route number, last updated timestamp, destination, operator for each bus in Helsingfors, finland.
"""
try:
cursor.execute("""
SELECT DISTINCT
bs.vehicle_number AS vehicle_number,
bs.route_number AS route_number,
bs.utc_timestamp AS utc_timestamp,
bs.current_location AS current_location,
bs.latitude AS latitude,
bs.longitude AS longitude,
bs.destination AS destination,
bs.tsi AS tsi,
bus.operator AS operator
FROM bus_status bs
LEFT JOIN bus ON bus.vehicle_number = bs.vehicle_number
ORDER BY tsi DESC
LIMIT 300;
""")
logger.info("Syncing requested data for locations to JSON API ...")
results = cursor.fetchall()
counter_result = 0
if len(results) == 0:
return jsonify({"message": "No vehicle found"})
else:
bus_data = []
for result in results:
counter_result += 1
bus_dict = {
"telemetry": {
"vehicle": {
"number": result[0],
"operator": result[8],
"current_location": result[3],
"latitude": result[4],
"longitude": result[5],
},
"timestamp": {
"tsi": result[7],
"utc_formatted": str(result[2])
},
"route": {
"number": result[1],
"destination": result[6]
},
}
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
logger.info("{} bus data retrieved from location fetch".format(counter_result))
print(' ')
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {
"status": "error",
"error": str(e)
}
return jsonify(error_message), 500
# locations/latest is a improvement of /locations. We now only show the most recent updatedes for each vehicle number
@app.route('/locations/latest') # Retrieve last updated bus for each vehicle number by tsi
def last_updated():
"""
- Input: None
- Output: Returns updated bus json (with information, current_location etc.)
This method returns all last updated bus information about their locations, tsi, route number, last updated timestamp, destination, operator for each bus in Helsinski, finland.
"""
try:
logger.info("Syncing data for latest to JSON API ...")
cursor.execute("""
WITH LatestBus AS (
SELECT bs.*, bus.operator, ROW_NUMBER() OVER (PARTITION BY bs.vehicle_number ORDER BY bs.tsi DESC) AS rn
FROM bus_status bs
LEFT JOIN bus ON bus.vehicle_number = bs.vehicle_number
)
SELECT * FROM LatestBus WHERE rn = 1
ORDER BY tsi DESC
LIMIT 300;
""")
results = cursor.fetchall()
counter_result = 0
if len(results) == 0:
return jsonify({"message": "No vehicle found"})
else:
bus_data = []
for result in results:
counter_result += 1
bus_dict = {
"telemetry": {
"vehicle": {
"number" : result[1],
"operator": result[10],
"current_location": result[5],
"latitude": result[6],
"longitude": result[7],
},
"timestamp":{
"tsi": result[2],
"utc_formatted": str(result[3]),
},
"route":{
"number": result[4],
"destination": result[9],
},
}
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
logger.info("{} bus data retrieved from location fetch with the latest data for each bus".format(counter_result))
print(' ')
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {
"status": "error",
"error": str(e)
}
return jsonify(error_message), 500
@app.route('/locations/next_stop/logger')
def bus_logger():
"""
This method logs the data about each bus and show their location and all data related, logged into the db, including operator, route_number, utc timestamp for when updated, status if any, and arrival_time if any
- Input: none
- Output: Return json data about last known locations with their next stop
"""
logger.info("Syncing data for locations logger to JSON API ...")
try:
cursor.execute("""
SELECT DISTINCT
bs.vehicle_number,
bs.tsi,
bs.route_number,
bs.utc_timestamp,
bs.current_location,
bs.destination,
s.stop_name AS next_stop,
s.stop_adress,
s.latitude,
s.longitude,
b.operator,
se.status,
se.arrival_time_to_the_stop,
bs.latitude,
bs.longitude
FROM
bus_status AS bs
INNER JOIN
stop AS s ON s.id = bs.stop_id
LEFT JOIN
bus AS b ON b.vehicle_number = bs.vehicle_number
LEFT JOIN
stop_event AS se ON se.id = s.stop_event
ORDER BY bs.tsi DESC
LIMIT 1000;
""")
results = cursor.fetchall()
counter_result = 0
if len(results) == 0:
return jsonify({"message": "No vehicle found"})
else:
bus_data = []
for result in results:
counter_result += 1
bus_dict = {
"telemetry": {
"vehicle": {
"number" : result[0],
"operator": result[10],
"current_location": result[4],
"latitude": result[13],
"longitude": result[14],
"status": result[11],
},
"timestamp": {
"tsi": result[1],
"utc_formatted": str(result[3]),
},
"route": {
"number": result[2],
"destination": result[5],
},
"next_stop": {
"name": result[6],
"address": result[7],
"lat_long": f"{result[8]}, {result[9]}",
"arrival_time_to_the_stop": str(result[12])
},
}
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
logger.info("{} bus data retrieved from bus logger fetch".format(counter_result))
print(' ')
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {
"status": "error",
"error": str(e)
}
return jsonify(error_message), 500
#/next_stop is an improvement of /logger with same data shown, but with the most recent, sorted by the highest tsi for each vehicle
@app.route('/locations/next_stop') # By default GET to retrieve data, doesen't PUT/POST or change the data
def last_location_next_stop():
"""
This method get the last data about each bus and show their current location with the next stop, including operator, route_number, utc timestamp for when updated, status if any, and arrival_time if any
- Input: none
- Output: Return json data about last known locations (/updated) with their next stop
"""
logger.info("Syncing data for next stop to JSON API ...")
try:
cursor.execute("""
WITH LatestBus AS (
SELECT
bs.*,
bs.tsi as tsi,
stop.*,
bus.operator,
stop_event.status,
stop_event.arrival_time_to_the_stop,
ROW_NUMBER() OVER (PARTITION BY bs.vehicle_number ORDER BY bs.tsi DESC) AS rn
FROM
bus_status bs
LEFT JOIN bus ON bus.vehicle_number = bs.vehicle_number
LEFT JOIN stop ON stop.id = bs.stop_id
LEFT JOIN stop_event ON stop_event.id = stop.stop_event
ORDER BY bs.tsi DESC
)
SELECT * FROM LatestBus
WHERE rn = 1
LIMIT 300;
""")
results = cursor.fetchall()
counter_result = 0
if len(results) == 0:
return jsonify({"message": "No vehicle found"})
else:
bus_data = []
for result in results:
counter_result += 1
bus_dict = {
"telemetry": {
"vehicle": {
"number" : result[1],
"operator": result[17],
"current_location": result[5],
"latitude": result[6],
"longitude": result[7],
"status": result[18],
},
"timestamp":{
"tsi": result[2],
"utc_formatted": str(result[3]),
},
"route": {
"number": result[4],
"destination": result[9],
},
"next_stop":{
"name": result[13],
"address": result[14],
"lat_long": f"{result[15]}, {result[16]}",
"arrivel_time_to_the_stop": str(result[19]),
},
}
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
logger.info("{} bus data retrieved from location fetch with next stop".format(counter_result))
print(' ')
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {
"status": "error",
"error": str(e)
}
return jsonify(error_message), 500
# Ascending order from low to high while you scroll down.
@app.route('/locations/ordered_by_vehicle')
def location_ordered_by_vehicle():
"""
This method get the last data about each bus and show their current location with the next stop, including operator, route_number, utc timestamp for when updated, status if any, and arrival_time if any
- Input: none
- Output: Return json data about last known locations (/updated) with their next stop
"""
logger.info("Syncing data for next stop to JSON API ...")
try:
cursor.execute("""
WITH LatestBus AS (
SELECT bs.*, stop.*, bus.operator, stop_event.status, stop_event.arrival_time_to_the_stop, ROW_NUMBER() OVER (PARTITION BY bs.vehicle_number ORDER BY bs.tsi DESC) AS rn
FROM bus_status bs
LEFT JOIN bus ON bus.vehicle_number = bs.vehicle_number
LEFT JOIN stop ON stop.id = bs.stop_id
LEFT JOIN stop_event ON stop_event.id = stop.stop_event
)
SELECT * FROM LatestBus
WHERE rn = 1
LIMIT 300;
""")
results = cursor.fetchall()
counter_result = 0
if len(results) == 0:
return jsonify({"message": "No vehicle found"})
else:
bus_data = []
for result in results:
counter_result += 1
bus_dict = {
"telemetry": {
"vehicle": {
"number" : result[1],
"operator": result[17],
"current_location": result[5],
"latitude": result[6],
"longitude": result[7],
"status": result[18],
},
"timestamp":{
"tsi": result[2],
"utc_formatted": str(result[3]),
},
"route": {
"number": result[4],
"destination": result[9],
},
"next_stop":{
"name": result[13],
"address": result[14],
"lat_long": f"{result[15]}, {result[16]}",
"arrivel_time_to_the_stop": str(result[19]),
},
}
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
logger.info("{} bus data retrieved from location fetch with next stop".format(counter_result))
print(' ')
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {
"status": "error",
"error": str(e)
}
return jsonify(error_message), 500
@app.route('/vehicles/<int:vehicle_number>') # By default method = GET to retrieve data, doesen't PUT/POST or change the data
def get_vehicle(vehicle_number: int):
"""
- Input: vehicle number
- Returns: Json data about a specific vehicle
This method takes in a specific vehicle number and returns all the stored information about it.
"""
try:
logger.info("Syncing data for vehicle number {} to JSON API ...".format(vehicle_number))
cursor.execute("""
SELECT DISTINCT
bs.vehicle_number,
bs.tsi,
bs.route_number,
bs.utc_timestamp,
bs.current_location,
bs.destination,
s.stop_name AS next_stop,
s.stop_adress,
s.latitude,
s.longitude,
b.operator,
se.status,
se.arrival_time_to_the_stop,
bs.latitude,
bs.longitude
FROM
bus_status AS bs
INNER JOIN
stop AS s ON s.id = bs.stop_id
LEFT JOIN
bus AS b ON b.vehicle_number = bs.vehicle_number
LEFT JOIN
stop_event AS se ON se.id = s.stop_event
WHERE
bs.vehicle_number = %s;
""", (vehicle_number,))
results = cursor.fetchall() # fetching the result from the query
counter_result = 0
if len(results) == 0:
# If the given vehicle number is not found
return jsonify({"message": "No data or vehicle found with the given vehicle number"})
else:
vehicle_list = []
for result in results:
counter_result += 1
vehicle_dict = {
"telemetry": {
"vehicle": {
"number" : result[0],
"operator": result[10],
"current_location": result[4],
"latitude": result[13],
"longitude": result[14],
"status": result[11],
},
"timestamp": {
"tsi": result[1],
"utc_formatted": str(result[3]),
},
"route": {
"number": result[2],
"destination": result[5],
},
"next_stop": {
"name": result[6],
"address": result[7],
"lat_long": f"{result[8]}, {result[9]}",
"arrival_time_to_the_stop": str(result[12])
},
}
}
js = json.dumps(vehicle_dict, ensure_ascii=False)
vehicle_list.append(js)
logger.info("{} data retrieved from fetch for vehicle_number: {}".format(counter_result, vehicle_number))
print(' ')
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(vehicle_list) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {"error": str(e)}
return jsonify(error_message), 500
# This method allows ut to define radius and the location passed in to the url, a variation of the buses_within_radius() where it picks address from the url, or api request
@app.route('/buses_within_radius/<string:street>/<string:city>/<int:radius>')
def buses_within_radius(street, city, radius):
"""
- input: street and city (or region, building number or other attributes) name to get the location of the user, and a radius to show bus near user
- output: json data about the buses near the user
This function takes as input a street and city name to determine the user's location, as well as a radius to display buses located near the user.
The output is a JSON object containing data about the buses in the vicinity of the user.
"""
logger.info("Syncing data location {} {} within raduis {} to JSON API ...".format(city, street, radius))
# creating a geolocater variable on my app
api_key = 'b5c600c5d1284ee0b9abc6c69ef95a3b'
geocoder = OpenCageGeocode(api_key)
location = f'{street}, {city}' # called it street and city to simplify, but it can be building number, region or other attributes
response = geocoder.geocode(location)
if not response: # handles wrong given address/location to geocoder
return jsonify({"Error message": "Invalid response from the geocoder service. Please check your location input data or try again later."})
# if the request was successful
try:
if response and len(response):
try:
# Parse the response JSON to extract the latitude and longitude
lat = response[0]['geometry']['lat']
lon = response[0]['geometry']['lng']
# Continue with the rest of your program using lat and lon
except IndexError:
print("Index out of range error: No data found in the response.")
except KeyError as e:
print(f"KeyError: {e}")
# Selecting the latest 'tsi' for each vehicle number, within a given radius
try:
cursor.execute("""
SELECT DISTINCT
bs.vehicle_number,
bs.tsi,
bs.route_number,
bs.utc_timestamp,
bs.current_location,
bs.destination,
bs.latitude,
bs.longitude,
s.stop_name AS next_stop,
s.stop_adress,
s.latitude,
s.longitude,
b.operator,
se.status,
se.arrival_time_to_the_stop
FROM
bus_status AS bs
INNER JOIN
stop AS s ON s.id = bs.stop_id
LEFT JOIN
bus AS b ON b.vehicle_number = bs.vehicle_number
LEFT JOIN
stop_event AS se ON se.id = s.stop_event
INNER JOIN (
SELECT vehicle_number, MAX(tsi) AS max_tsi
FROM bus_status
GROUP BY vehicle_number
) bs_max ON bs.vehicle_number = bs_max.vehicle_number AND bs.tsi = bs_max.max_tsi
WHERE earth_distance(ll_to_earth(bs.latitude, bs.longitude), ll_to_earth(%s, %s)) <= %s
ORDER BY tsi DESC
""", (lat, lon, radius))
results = cursor.fetchall()
except Exception as e:
# Return an error message in JSON format
error_message = {"error": str(e)}
return jsonify(error_message), 500
counter_result = 0
if len(results) == 0:
return jsonify({"message": "No bus found"})
else:
bus_data = []
for result in results:
counter_result += 1
bus_dict = {
"telemetry": {
"vehicle": {
"number" : result[0],
"operator": result[12],
"current_location": result[4],
"latitude": result[6],
"longitude": result[7],
},
"timestamp": {
"tsi": result[1],
"utc_formatted": str(result[3]),
},
"route": {
"number": result[2],
"destination": result[5],
},
"next_stop":{
"name": result[8],
"address": result[9],
"lat_long": f"{result[10]}, {result[11]}",
},
}
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
# Combine the list of JSON strings into a single JSON array
logger.info("{} bus data retrieved for the address: {} {}, with radius of: {} meter".format(counter_result, street, city, radius))
print(' ')
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
except Exception as e:
error_message = {"error": str(e)}
return jsonify(error_message), 500
# This method is doing nearly the same as the method below buses_within_radius(),
# the difference is that i would prefer to use a method like this on my frontend to ensure i can pass the location address with json to this method
@app.route('/buses_near_me', methods=['POST'])
def buses_near_me():
"""
- input: street and city name to get the location of the user, and a radius to show bus near user
- output: json data about the buses near the user
This function takes as input a street and city name to determine the user's location, as well as a radius to display buses located near the user.
The output is a JSON object containing data about the buses in the vicinity of the user.
"""
data = request.get_json()
api_key = 'b5c600c5d1284ee0b9abc6c69ef95a3b'
geocoder = OpenCageGeocode(api_key)
location = data['location'] # getting the requested location fron the json data
city = location['city']
street = location['street']
address = f'{city}, {street}' # called it street and city to simplify, but it can be building number, region or other attributes
response = geocoder.geocode(address)
# if the request was successful
if response.ok:
# Parse the response JSON to extract the latitude and longitude
data = response.json()[0]
lat = data['lat']
lon = data['lon']
radius = data['radius']
# Selecting the latest 'tsi' for each vehicle number, within a given radius
cursor.execute(
"""
SELECT * FROM bus_status AS bs
INNER JOIN (
SELECT vehicle_number, MAX(tsi) AS max_tsi
FROM bus_status
GROUP BY vehicle_number
) bs_max ON bs.vehicle_number = bs_max.vehicle_number AND bs.tsi = bs_max.max_tsi
WHERE earth_distance(ll_to_earth(latitude, longitude), ll_to_earth(%s, %s)) <= %s"""
, (lat, lon, radius))
results = cursor.fetchall()
if len(results) == 0:
return jsonify({"message": "No bus found"})
else:
bus_data = []
for result in results:
bus_dict = {
"vehicle_number" : result[1],
"route_number": result[4],
"utc_timestamp": str(result[3]),
"current_location": result[5],
"destination": result[9],
}
json_bus = json.dumps(bus_dict, ensure_ascii=False)
bus_data.append(json_bus)
# Combine the list of JSON strings into a single JSON array
response_json = "[" + ",".join(bus_data) + "]"
# Parse the JSON array into a Python object
response_data = json.loads(response_json)
# Return the Python object as a JSON response with UTF-8 encoding
return Response(json.dumps(response_data, ensure_ascii=False, indent=4).encode('utf-8'), mimetype='application/json; charset=utf-8')
#@retry(wait_fixed=1000, stop_max_attempt_number=5) # Retry 5 times with a 1-second delay between retries
def make_request(base_url, params):
response = requests.get(base_url, params=params, timeout=10)
#response.raise_for_status() # Raise an exception if the response status code is not 2xx
return response
def make_request_with_retry(city, street):
#Example usage of the return values from this method
"""
data = response.json()[0]
lat = data['lat']
lon = data['lon']
lat = location.latitude
lon = location.longitude
"""
# Define the base URL for the Nominatim API
# creating a geolocater variable on my app
nominatim_service = Nominatim(user_agent="[email protected]", timeout=10)
geolocator = RateLimiter(nominatim_service.geocode, min_delay_seconds=1.1)
base_url = 'https://nominatim.openstreetmap.org/search'
location = geolocator(f"{city}+{street}")
# Define the query parameters
params = {
'q': f"{city},{street}",
'format': 'jsonv2'
}
# Send a GET request to the API
response = requests.get(base_url, timeout=10, params=params)
max_retries = 3
retry_count = 0
timeout = 10
while retry_count < max_retries:
try:
response = requests.get(base_url, timeout=timeout, params=params)
return response
except requests.exceptions.Timeout:
retry_count += 1
if retry_count >= max_retries:
print("Max retries reached, unable to get a response.")
return None
else:
print(f"Retry {retry_count}...")
# Define a signal handler for SIGINT (Ctrl+C)
def sigint_handler(signal, frame):
print("Received SIGINT, stopping Flask app... ")
# Perform any cleanup necessary (e.g. closing DB connections, releasing the threads ..)
#executor_subscriber_class.join() # Wait for the MQTT subscriber thread to finish
executor_subscriber_class.shutdown(wait=True)
# Stop the Flask app
# Making sure to close the cursor
if not cursor.closed:
cursor.close()
sys.exit(0)
# Register the signal handler
signal.signal(signal.SIGINT, sigint_handler)
if __name__ == '__main__':
time.sleep(0.5)
logger.info("The application server starting...")
time.sleep(0.5)
start_threads()
logger.warning("Running the application on port 5001")
logger.info("API URL EXAMPLE: http://localhost:5001/locations")
logger.info("Visit: https://github.com/ahmetugsuz/Finland_Bus_Routes for more info")
logger.info("Refresh the JSON REST page's URL to obtain updated data")
app.run(host='0.0.0.0', port=5001)