api-client-python | Dynatrace API Python client | REST library
kandi X-RAY | api-client-python Summary
kandi X-RAY | api-client-python Summary
Dynatrace API Python client
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Top functions reviewed by kandi - BETA
- Get an agent installer
- Updates a network zone
- Make a request
- List entities
- Convert a timestamp to a string
- List host agent information
- Convert a datetime to an integer
- Dump response to JSON
- Return a slug
- Create a Metric instance from the raw data
- Converts an integer timestamp to a datetime object
- Create a Configuration object from the raw data
- Initialize from raw data
- Get a specific update job list
- List update jobs
- Get a single entity
- Create a new instance of this object from raw data
- Create a new schedule
- Report a simple third party test event
- Creates new added entity tags
- Creates a maintenance window
- Get the full configuration for this notification
- List events
- Report a single syntheticSyntheticSyntheticSyntheticSyntheticSyntheticSyntheticSyntheticSynthetic test
- Delete entity tags
- List all slo objects
api-client-python Key Features
api-client-python Examples and Code Snippets
Community Discussions
Trending Discussions on api-client-python
QUESTION
I'm trying to use Poetry to manage my python projects, but some PyPI dependencies don't have a version number such as this one.
I thus get such errors
...ANSWER
Answered 2021-May-12 at 06:25Thanks to @Lain Shelvington's comments. I got the package name wrong. I took the name from its GitHub repo, but the PyPI package is named differently.
poetry update
works after fixing the name. However, Poetry's inability to distinguish the package name error from its version tag issue is a bit confusing.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install api-client-python
You can use api-client-python 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.
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