spyip 0.3.0

Description:

spyip 0.3.0

SpyIP
A simple IP lookup tool written in Python with concurrency support.









Table of Contents

Introduction
Features
Installation
Usage
Localizations
Responses
Exceptions
Tests
Contributing
License

Introduction
SpyIP uses ip-api API to trace IP addresses. SpyIP is default synchronous and supports asynchronous operations. It is type annotated, PEP8 compliant, documented and unit tested.
Features


Trace your own IP address


Trace your own DNS


Trace IP address by query


Trace batch IP address


Asynchronous supported


Synchronous by default


Type annotated


Unit tested


PEP8 compliant


Documented


Optimized


Installation
pip install spyip

Usage
Default synchronous use case for normal and easy to use.
from spyip import trace_me, trace_dns, trace_ip, trace_ip_batch # default synchronous functions


me = trace_me() # trace your own IP
print(me.json(indent=4)) # print as JSON with indent


dns = trace_dns() # trace your own DNS
print(dns.json()) # print as JSON


# trace by IP address (facebook.com)
ip = trace_ip(query="31.13.64.35")
print(ip.json()) # print as JSON

# set timeout
print(
trace_ip(
query="31.13.64.35",
timeout=5,
).json()
)


# batch trace by IP address (facebook.com, google.com, github.com, microsoft.com, ...)
batch = trace_ip_batch(
query_list=[
'31.13.64.35', # facebook.com
'142.250.193.206', # google.com
'20.205.243.166', # github.com
'20.236.44.162', # microsoft.com
],
)
print(batch) # print a list of IPResponse objects. (see below)

Advance asynchronous way to boost performance. Just a simple example to show how to use asyncio with SpyIP.
import asyncio

from spyip.backends.asynchronous import trace_me, trace_dns, trace_ip, trace_ip_batch # asynchronous functions


async def spy_trace_me():
result = await trace_me()
print(result)


async def spy_trace_dns():
result = await trace_dns()
print(result)


async def spy_trace_ip():
result = await trace_ip(query="31.13.64.35")
print(result)


async def spy_trace_ip_batch():
result = await trace_ip_batch(
query_list=[
'31.13.64.35', # facebook.com
'142.250.193.206', # google.com
'20.205.243.166', # github.com
'20.236.44.162', # microsoft.com
],
)
print(result)


async def main():
'''Load all tasks'''
await spy_trace_me()
await spy_trace_dns()
await spy_trace_ip()
await spy_trace_ip_batch()

asyncio.run(main()) # run the main function

Localizations
Localized city, regionName and country can be translated to the following languages by passing lang argument to trace_me, trace_ip and trace_ip_batch functions. Default language is en (English). Here is the list of supported languages:



lang (ISO 639)
description




en
English (default)


de
Deutsch (German)


es
Español (Spanish)


pt-BR
Português - Brasil (Portuguese)


fr
Français (French)


ja
日本語 (Japanese)


zh-CN
中国 (Chinese)


ru
Русский (Russian)



Responses
Response objects are attrs for defining Response models. In SpyIP we have 2 response objects respectively:




IPResponse: for single IP address query

@define
class IPResponse:
"""
Example response from API:

{
"status": "success",
"continent": "Asia",
"continentCode": "AS",
"country": "India",
"countryCode": "IN",
"region": "DL",
"regionName": "National Capital Territory of Delhi",
"city": "New Delhi",
"district": "",
"zip": "110001",
"lat": 28.6139,
"lon": 77.209,
"timezone": "Asia/Kolkata",
"offset": 19800,
"currency": "INR",
"isp": "Google LLC",
"org": "Google LLC",
"as": "AS15169 Google LLC",
"asname": "GOOGLE",
"mobile": false,
"proxy": false,
"hosting": true,
"query": "142.250.193.206",
}
"""

status: str = field(metadata={'description': 'Status of the request.'})
continent: str = field(metadata={'description': 'Continent name.'})
continentCode: str = field(metadata={'description': 'Continent code.'})
country: str = field(metadata={'description': 'Country name.'})
countryCode: str = field(metadata={'description': 'Country code.'})
region: str = field(metadata={'description': 'Region code.'})
regionName: str = field(metadata={'description': 'Region name.'})
city: str = field(metadata={'description': 'City name.'})
district: str = field(metadata={'description': 'District name.'})
zip_: str = field(metadata={'description': 'Zip code.'}, alias='zip')
lat: float = field(metadata={'description': 'Latitude.'})
lon: float = field(metadata={'description': 'Longitude.'})
timezone: str = field(metadata={'description': 'Timezone.'})
offset: int = field(metadata={'description': 'Offset.'})
currency: str = field(metadata={'description': 'Currency.'})
isp: str = field(metadata={'description': 'ISP name.'})
org: str = field(metadata={'description': 'Organization name.'})
as_: str = field(metadata={'description': 'AS number and name.'}, alias='as_')
asname: str = field(metadata={'description': 'AS name.'})
mobile: bool = field(metadata={'description': 'Mobile status.'})
proxy: bool = field(metadata={'description': 'Proxy status.'})
hosting: bool = field(metadata={'description': 'Hosting status.'})
query: str = field(metadata={'description': 'IP address.'})






DNSResponse: for DNS query

@define
class DNSResponse:
"""
Example response from API:
"dns": {
"ip": "74.125.73.83",
"geo": "United States - Google"
}
"""

ip: str = field(metadata={'description': 'IP address.'})
geo: str = field(metadata={'description': 'Geo location.'})




In batch query, trace_ip_batch returns a list of IPResponse objects (List[IPResponse]). You can just iterate over the list and use as you need.
Exceptions
SpyIP has 3 custom exceptions:

TooManyRequests - raised when you exceed the API rate limit.
ConnectionTimeout - raised when connection times out.
StatusError - raised when API returns an error status.

Tests
Test cases are located in tests directory. You can run tests with the following commands:
# run all tests in tests directory at once
python -m unittest discover -s tests

# run asynchronous tests
python tests/test_asynchronous.py

# run synchronous tests
python tests/test_synchronous.py

Average Time Comparisons:



Types
Tests
Time




Total tests
12
6.188s


Asynchronous
6
2.751s


Synchronous
6
2.968s



Note: This time comparison is based on network performance and hardware capabilities. I am using a very old low-configuration laptop and running on Python 3.11.7. This result may vary depending on your system resources.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. If you have any idea, suggestion or question, feel free to open an issue. Please make sure to update tests as appropriate.
License
This project is licensed under the terms of the MIT license.