osm_helper 0.0.8

A fast way to get the ETA for the logistics projects that depends heavily on it

OSRM Table Service Python Wrapper

OSM-HELPER: A fast way to get the ETA (Estimated Time of Arrival) 🗺️ 🚀

Do you have multiple python projects for Delivery 🛵, Ride-hailing 🚗 or any logistics service, and each time you need to build the get_eta function from scratch ?

This simple package is your right way! 🚀🚀

osm-hepler is a pretty simple package for making the process of getting eta for a number of locations to be the easiest part in your project (just two lines of code).

The package built on top of OSRM (Open Source Routing Machine) project. 🗺️ We can assume it as a python wrapper on top of the table service api of the OSRM project.

Installation

pip install osm-helper

Features

1- A default parameters (that make the performance better) are initialized and they are configurable.

2- Caching the results.

3- Load balancing between more than one osrm instance.

4- Fault tolerance: if one of the osrm instances is down, it will search for another (this will be done by default in the package).

Examples

Simple Example

After installing the lib you can test it by the following:

from osm_helper.osm_api import OSM

def simple_example():
    locations = [
        ("25.22386255613285", "55.28397838209264"), # lat, lng
        ("25.356481138224012", "55.404779909052124"),
    ]

    # Create a pretty simple OSM instance
    osm_api = OSM()

    # Get the times
    result = osm_api.osm_matrix(
        locations,
        [0], # Source location index
        [1], # Destination location index
    )

    return result

print(simple_example())

By running the code (you will got the following result, the value may be changed with a small changes depending on the OSRM instance you are using):

{'duration': [[1128.8]]}

Caching and Load balancing Example

You need to install redis and set its config in the .yaml config file:

REDIS_HOST:
 127.0.0.1

REDIS_PORT:
 6379

REDIS_EXPIRATION_TIME: # Optional
 43200 

REDIS_ASYNC_CACHE: # Optional
 False

Then you can:

from osm_helper.locations import generate_random_locations
from osm_helper.osm_api import OSM

# Generate 10 random locations
locations = generate_random_locations(
    ("30.222676136092296", "31.455316886214952"), number=10
)

# Create an OSM instance
osm_api = OSM(load_balance=True, cache_results=True, with_distance=True)

# Get the times
result = osm_api.osm_matrix(
			locations,
			[i for i in  range(len(locations)//2)],
			[i for i in  range(len(locations)//2, len(locations))],
			request_id="123"
		)

print(result)

OSM Class parameters

Name	Default	Explaination
with_time	bool: True	-
with_distance	bool: False	If True, you will get a distance matrix in addition to the time matrix in the result
skip_waypoints	bool: True	This will skip waypoints from the response of osrm api, so you will see a performance enhancement by this
time_scale_factor	int: 1	Scale the resulted times by this scalar
api_url	str: Comes from PRIMARY_OSRM_URL config. value	This is the api url of the osrm instance
osm_instances_urls	list: Comes from OSRM_URLS config. value	This is a list of osrm urls
load_balance	bool: False	If True, to be not useless we need to set osm_instances_urls, so the package will request from a random instance
cache_results	bool: False	If True, you need to pass request_id to the osm_api.osm_matrix so the key in the redis will be a mix between the info of the function parameters and this request_id
max_api_retries	int: 10	If the instance is down, so we will try this number of times before return the result

Configuration

The configuration of this package is done by an .env file and .yaml file like the following (the following files will have the full configs but only PRIMARY_OSRM_URL is mandatory)

.env file (Optional and the default name of YAML_CONFIG_FILE_NAME will be osm_helper_config.yaml)

YAML_CONFIG_FILE_NAME=YOUR_OSM_HELPER_CONFIG.yaml

YOUR_OSM_HELPER_CONFIG.yaml

Name	Default	Explaination
PRIMARY_OSRM_URL	http://router.project-osrm.org	OSRM url, the default value is the public instance of OSRM.
[Optional] OSRM_URLS	None	OSRM Instances
[Optional] OSRM_MAX_API_RETRIES	10	If the instance is down, so we will try OSRM_MAX_API_RETRIES times before return the result
[Optional] REDIS_HOST	None	Redis host url
[Optional] REDIS_PORT	None	Redis port
[Optional] REDIS_EXPIRATION_TIME	INFINITY	Redis records timeout (in seconds)
[Optional] REDIS_ASYNC_CACHE	False	If True, the caching process will be done in async way (To maximize the performance of getting ETA)

Contribution

You're welcome!
Fork the project and make a pull request I will see it inshallah.