pdpyras | Low-level PagerDuty REST/Events API client for Python
kandi X-RAY | pdpyras Summary
kandi X-RAY | pdpyras Summary
pdpyras is a Python library. pdpyras has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Low-level PagerDuty REST/Events API client for Python
Low-level PagerDuty REST/Events API client for Python
Support
Quality
Security
License
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Support
pdpyras has a low active ecosystem.
It has 114 star(s) with 27 fork(s). There are 123 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 51 have been closed. On average issues are closed in 116 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pdpyras is v5.0.3
Quality
pdpyras has 0 bugs and 0 code smells.
Security
pdpyras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pdpyras code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pdpyras is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pdpyras releases are available to install and integrate.
Build file is available. You can build the component from source.
It has 5034 lines of code, 93 functions and 19 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pdpyras and discovered the below as its top functions. This is intended to give you an instant insight into pdpyras implemented functionality, and help decide if they suit your requirements.
- Post processing
- Parse URL path
- Compute a profiler key
- Truncated token
- Return the last 4 bytes
- The API key
- Resolve API key
- Wrapper around jpost
- Handle POST requests
- HTTP DELETE wrapper
- Raises PDHTTPError on error
- Subdomain name
- Performs a GET request
- Get API key access token
- Try to decode the response
- Get a dictionary of all objects matching the key
- Get all results from the API
- Return a list of all files under path
- Decorator that turns a method into JSON
- Truncate the last 4 key
Get all kandi verified functions for this library.
pdpyras Key Features
No Key Features are available at this moment for pdpyras.
pdpyras Examples and Code Snippets
Copy
def register_keras_serializable(package='Custom', name=None):
"""Registers an object with the Keras serialization framework.
This decorator injects the decorated class or function into the Keras custom
object dictionary, so that it can be seri
Copy
def _is_framework_filename(filename):
"""Returns whether a filename should be considered a part of the framework.
A file is part of the framework if it does not match a pattern in
_EXTERNAL_FILENAME_PATTERNS and it either matches a pattern in
Community Discussions
Trending Discussions on pdpyras
QUESTION
Python string substitution picking up junk characters in api requests
Asked 2021-Mar-31 at 02:31
I am using Pagerduty python api client - pdpyras And below is the block of code
...ANSWER
Answered 2021-Mar-30 at 10:13The below format should work for you.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pdpyras
You can download it from GitHub.
You can use pdpyras like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use pdpyras like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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