SRT(Super Rapid Train) wrapper for python
Project description
SRT
SRT(Super Rapid Train) application python wrapper
With SRTrain
, you can:
- Search SRT train schedules.
- Reserve SRT trains.
- Find your reservations/tickets information.
- Cancel reservations/tickets.
while you can't:
- Pay for a ticket.
- Search or reserve non-SRT trains (KTX, ITX, ... ) (use korail2 instead)
This project was inspired from korail2 of carpedm20.
Quickstart
pip install SRTrain
>>> from SRT import SRT
>>> srt = SRT("010-1234-xxxx", YOUR_PASSWORD)
>>> dep = '수서'
>>> arr = '부산'
>>> date = '20190930'
>>> time = '144000'
>>> trains = srt.search_train(dep, arr, date, time)
>>> trains
# [[SRT] 09월 30일, 수서~부산(15:00~17:34) 특실 예약가능, 일반실 예약가능,
# [SRT] 09월 30일, 수서~부산(15:30~18:06) 특실 예약가능, 일반실 예약가능,
# [SRT] 09월 30일, 수서~부산(16:00~18:24) 특실 매진, 일반실 예약가능,
# [SRT] 09월 30일, 수서~부산(16:25~18:45) 특실 예약가능, 일반실 예약가능, ...]
>>> reservation = srt.reserve(trains[1])
>>> reservation
# [SRT] 09월 30일, 수서~부산(15:30~18:06) 53700원(1석), 구입기한 09월 20일 23:38
Documentation
See documentation.
See Also
- go-SRT: SRT golang wrapper
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
SRTrain-2.0.5.tar.gz
(14.2 kB
view details)
Built Distribution
File details
Details for the file SRTrain-2.0.5.tar.gz
.
File metadata
- Download URL: SRTrain-2.0.5.tar.gz
- Upload date:
- Size: 14.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 60ceb32aaf423a7d397b4184015b021a99019d4763a420ae1991dd50245bf8a1 |
|
MD5 | 10e5d5c01f0e723e3cd6212c85bef8ab |
|
BLAKE2b-256 | 1a955b310170be3dde9f260ad1da23beec4c97029f289fdc35bafec14a5e5d50 |
File details
Details for the file SRTrain-2.0.5-py2.py3-none-any.whl
.
File metadata
- Download URL: SRTrain-2.0.5-py2.py3-none-any.whl
- Upload date:
- Size: 16.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ca39fe43dbe348bde6d25d80d0a871c4c050d895757e4e504a895af90be593f3 |
|
MD5 | 34f75da813cd15315f07c8b634f67d91 |
|
BLAKE2b-256 | 2d6357c8f68f19222e4acf2112220fbaa2dfc99853dd326e4f4e62442927ab2f |