Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

eptr2

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

eptr2

EPIAS Transparency Platform v2.0 Python client by Robokami Data

  • 0.7.2
  • PyPI
  • Socket score

Maintainers
1

PyPI - Version PyPI - Downloads

[!IMPORTANT]
🇬🇧 You will need username and password credentials from EPIAS to access Transparency Platform data. Register through EPIAS Registration Platform and get your username (your email) and password. English version is available. eptr2 is still in active development. Breaking changes can be expected. Fill an issue if you encounter any problem.

[!ÖNEMLİ]
🇹🇷 Şeffaflık Platformu verilerine erişmek için EPİAŞ üzerinden kayıt yaparak kullanıcı adı ve şifre almanız gerekmektedir. EPİAŞ Kayıt Platformu üzerinden kullanıcı adınızı (kayıt e-postası) ve şifrenizi alabilirsiniz. eptr2 hala aktif olarak geliştirilmektedir. Büyük değişiklikler beklenebilir. Herhangi bir sorunda, issue kısmından istek açabilirsiniz.

EPIAS Transparency Platform v2.0 Python client by Robokami Data

🇬🇧 eptr2 (EPIAS Transparency 2.0) package is a thin wrapper around EPIAS Transparency Platform v2.0 API brought to you by Robokami. It is an unofficial package with Apache License 2.0 (free and permissable use for commercial applications, see details). eptr2 accesses currently more than 199 services with convenience methods.

🇹🇷 eptr2 (EPİAŞ Transparency 2.0) paketi Robokami tarafından EPİAŞ Şeffaflık Platformu 2.0 API'si üzerine geliştirilmiş bir Python paketidir. Apache License 2.0 ile lisanslanmıştır (ücretsiz ve büyük ölçüde serbest kullanım). eptr2 199'dan fazla veri servisine erişim sağlar.

Installation

You can simply use PyPI to install eptr2 package or directly through GitHub. See eptr2demo page for available calls and examples.

pip install eptr2

NOTE: Starting from v0.4.0, data frame returns will be optional. If pandas is not installed, data frames will not be returned. You can install "dataframe" version with the following command. (Not implemented yet)

pip install "eptr2[dataframe]"
pip install git+https://github.com/Tideseed/eptr2.git

Usage

You can simply use EPTR2 class to call services with convenience methods.

from eptr2 import EPTR2

cred_d = {
    "username": "YOUR_USERNAME",
    "password": "YOUR_PASSWORD",
    "is_test": False, ## (optional) Default: False. Set only to True for transparency test servers.
}

eptr = EPTR2(
    username=cred_d["username"], password=cred_d["password"], is_test=cred_d["is_test"]
)

res = eptr.call("mcp", start_date="2024-07-29", end_date="2024-07-29")

You can search for available calls with eptr.get_available_calls() function. We plan to include all transparency services in the future.

available_calls = eptr.get_available_calls()
print(available_calls)

Aliases

Starting from v0.7.0 you can create aliases for your calls. Just prepare an alias dictionary and add it to the EPTR2 object.

custom_aliases = {"market-clearing-price": "mcp", "system-marginal-price": "smp"}

eptr = EPTR2(
    username=cred_d["username"], password=cred_d["password"], is_test=cred_d["is_test"], custom_aliases=custom_aliases
)

As a warning aliases may overwrite the default keys and default aliases. For instance if your alias is "mcp" pointing to "smp", now default "mcp" call is overwritten with "mcp" alias pointing to "smp".

Library will also have default aliases. You can check aliases with eptr.get_aliases() function. If you want to include custom aliases, you can get them with include_custom_aliases parameter. eptr.get_available_calls() function may also include aliases.

eptr.get_aliases(include_custom_aliases = True)

eptr.get_available_calls(include_aliases = True)

Notes

Main object call has some parameters to control the behavior of the package.

  • You can set ssl_verify to False if you have SSL verification problems.
  • You can set postprocess to False if you don't want to get data frames as response.
  • You can set get_raw_response to True if you want to get raw urllib3 response object.

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc