hegel | An instance metadata service for Tinkerbell
kandi X-RAY | hegel Summary
kandi X-RAY | hegel Summary
This repository is Experimental meaning that it's based on untested ideas or techniques and not yet established or finalized or involves a radically new and innovative style! This means that support is best effort (at best!) and we strongly encourage you to NOT use this in production. The gRPC and HTTP metadata service for Tinkerbell. Subscribe to changes in metadata, get notified when data is added/removed, etc. Full documentation can be found at tinkerbell.org.
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Top functions reviewed by kandi - BETA
- updateRemote updates the context associated with a remote request .
- Init initializes the CacherConnected .
- getMetadata returns a http . HandlerFunc for the given user ip address
- Serve starts the server
- ec2Handler handles an EC2 request .
- This is the main entry point .
- run runs the gRPC server
- filterMetadata extracts metadata from HQ .
- healthCheckHandler returns a health check handler .
- checkHardwareClientHealth checks health of all hardware clients
hegel Key Features
hegel Examples and Code Snippets
Community Discussions
Trending Discussions on hegel
QUESTION
I have the following pandas
...ANSWER
Answered 2019-Jan-23 at 16:38Use this:
Make a dictionary of the reference database:
QUESTION
I finally upgraded my python version and I was discovering the new features added. Among other things, I was scratching my head around the new __init_subclass__
method. From the docs:
This method is called whenever the containing class is subclassed. cls is then the new subclass. If defined as a normal instance method, this method is implicitly converted to a class method.
So I started to playing around with it a little bit, following the example in the docs:
...ANSWER
Answered 2018-Feb-13 at 06:30__init_subclass__
and __set_name__
are orthogonal mechanisms - they're not tied to each other, just described in the same PEP. Both are features that needed a full-featured metaclass before. The PEP 487 addresses 2 of the most common uses of metaclasses:
- how to let the parent know when it is being subclassed (
__init_subclass__
) - how to let a descriptor class know the name of the property it is used for (
__set_name__
)
As the PEP says:
While there are many possible ways to use a metaclass, the vast majority of use cases falls into just three categories: some initialization code running after class creation, the initialization of descriptors and keeping the order in which class attributes were defined.
The first two categories can easily be achieved by having simple hooks into the class creation:
- An
__init_subclass__
hook that initializes all subclasses of a given class.- upon class creation, a
__set_name__
hook is called on all the attribute (descriptors) defined in the class, andThe third category is the topic of another PEP, PEP 520.
Notice also, that while __init_subclass__
is a replacement for using a metaclass in this class's inheritance tree, __set_name__
in a descriptor class is a replacement for using a metaclass for the class that has an instance of the descriptor as an attribute.
QUESTION
Say I want to write a unit test for the following Python function:
...ANSWER
Answered 2017-Oct-31 at 23:27I would favor the simplified unit test. If you decide to change the functionality of this code, it'll be much easier to update the simplified unit test rather than the long and complex one.
Aside from that, the purpose of unit tests is to check whether small components of code work at their base level for realistic expected inputs, reduced to the smallest amount of complexity. If you find that the unit test to check the base functionality is too complex, you may want to split up the function into smaller components in itself. In this case, I think your functionality is straightforward enough and you would benefit more from the simple unit test than the complex one. However, this question is definitely opinion-based.
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