nested-lookup | Python functions for working with deeply nested documents | Cron Utils library
kandi X-RAY | nested-lookup Summary
kandi X-RAY | nested-lookup Summary
nested-lookup is a Python library typically used in Utilities, Cron Utils applications. nested-lookup has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install nested-lookup' or download it from GitHub, PyPI.
Python functions for working with deeply nested documents (lists and dicts)
Python functions for working with deeply nested documents (lists and dicts)
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Quality
Security
License
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nested-lookup has a low active ecosystem.
It has 185 star(s) with 43 fork(s). There are 10 watchers for this library.
It had no major release in the last 6 months.
There are 8 open issues and 13 have been closed. On average issues are closed in 46 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of nested-lookup is current.
Quality
nested-lookup has 0 bugs and 0 code smells.
Security
nested-lookup has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
nested-lookup code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
nested-lookup does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
nested-lookup releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
nested-lookup saves you 490 person hours of effort in developing the same functionality from scratch.
It has 1165 lines of code, 92 functions and 6 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed nested-lookup and discovered the below as its top functions. This is intended to give you an instant insight into nested-lookup implemented functionality, and help decide if they suit your requirements.
- Apply a key to a document .
- Wrapper for _nested_update .
- Wrapper function for nested_alter .
- Recursively update a nested dictionary .
- Extract occurrences and values from a list of items .
- Recursive lookup .
- Helper function for recursion .
- Recursively get all keys in a dictionary .
- Apply a callback function .
- Delete nested documents .
Get all kandi verified functions for this library.
nested-lookup Key Features
No Key Features are available at this moment for nested-lookup.
nested-lookup Examples and Code Snippets
No Code Snippets are available at this moment for nested-lookup.
Community Discussions
Trending Discussions on nested-lookup
QUESTION
How to lookup with deep level in mongoDB? deep >2
Asked 2020-Sep-19 at 14:59
I have three collections: ServiceCate store information about the services inside of HairSalon
ServiceCate:
...ANSWER
Answered 2020-Sep-19 at 14:59A 2 level lookup is needed here. This query will fetch ServiceCate details:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install nested-lookup
You can install using 'pip install nested-lookup' or download it from GitHub, PyPI.
You can use nested-lookup 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 nested-lookup 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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