mongokit | MongoKit framework try to keep its simplicity | Database library

 by   namlook Python Version: Current License: Non-SPDX

kandi X-RAY | mongokit Summary

kandi X-RAY | mongokit Summary

mongokit is a Python library typically used in Database, MongoDB applications. mongokit has no vulnerabilities, it has build file available and it has high support. However mongokit has 6 bugs and it has a Non-SPDX License. You can download it from GitHub.

MongoDB is a great schema-less document oriented database. It has a lot of drivers for many languages (python, ruby, perl, java, php...). MongoKit is a python module that brings a structured schema and validation layer on top of the great pymongo driver. It has been written to be as simple and light as possible with the KISS and DRY principles in mind.
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            kandi-support Support

              mongokit has a highly active ecosystem.
              It has 678 star(s) with 140 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 59 open issues and 87 have been closed. On average issues are closed in 212 days. There are 9 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of mongokit is current.

            kandi-Quality Quality

              mongokit has 6 bugs (0 blocker, 0 critical, 5 major, 1 minor) and 193 code smells.

            kandi-Security Security

              mongokit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mongokit code analysis shows 0 unresolved vulnerabilities.
              There are 28 security hotspots that need review.

            kandi-License License

              mongokit has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              mongokit releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              mongokit saves you 4089 person hours of effort in developing the same functionality from scratch.
              It has 8690 lines of code, 567 functions and 38 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mongokit and discovered the below as its top functions. This is intended to give you an instant insight into mongokit implemented functionality, and help decide if they suit your requirements.
            • Get a file from GridFS
            • Returns a Cursor instance
            • Return the next item
            • Manage an item
            • Get the spec for a document
            • Save the document
            • Get the last revision id of this document
            • Return a random item
            • Return the number of records
            • Get all versions of this document
            Get all kandi verified functions for this library.

            mongokit Key Features

            No Key Features are available at this moment for mongokit.

            mongokit Examples and Code Snippets

            No Code Snippets are available at this moment for mongokit.

            Community Discussions

            QUESTION

            Django & Mongo ORM mapping
            Asked 2017-May-04 at 17:48

            I have a Django project with a MongoDB, connecting through pymongo. I've looked into several ORM(-like) layers, but none of them seem well maintained or supporting the Django 1.8 (mongo-engine only supports Django 1.5, mongokit is no longer maintained, and the other libraries seem to have no real community behind them).

            So I think I'll be just using pymongo, which means that there is quite some things I'll need to implement myself, for example validation (checking that every document inserted in a collection has the required fields and field types). How would I go about this? Are there any example projects that I can take a look at?

            I found this project which connects from Django directly to Mongo, but there is not much structure in it.

            ...

            ANSWER

            Answered 2017-May-04 at 17:48

            Use PyMODM. As the docs you linked to say, "PyMODM is an ORM-like framework on top of PyMongo. PyMODM is maintained by engineers at MongoDB, Inc. and is quick to adopt new MongoDB features. PyMODM is a “core” ODM, meaning that it provides simple, extensible functionality that can be leveraged by other libraries to target platforms like Django. At the same time, PyMODM is powerful enough to be used for developing applications on its own. Complete documentation is available on readthedocs in addition to a Gitter channel for discussing the project."

            https://api.mongodb.com/python/3.4.0/tools.html

            Source https://stackoverflow.com/questions/43788227

            QUESTION

            Cannot connect to mongodb instance from docker: Connection refused
            Asked 2017-Apr-23 at 05:44

            I am using docker-compose to create a multi-container environment where I have one mongodb instance and two python applications. The problem is, the first application is able to establish a connection to mongodb whereas the second application fails with the following error:

            ...

            ANSWER

            Answered 2017-Apr-15 at 20:25

            your docker-compose.yml file is formatted incorrectly

            Source https://stackoverflow.com/questions/43428649

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mongokit

            You can download it from GitHub.
            You can use mongokit 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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            CLONE
          • HTTPS

            https://github.com/namlook/mongokit.git

          • CLI

            gh repo clone namlook/mongokit

          • sshUrl

            git@github.com:namlook/mongokit.git

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