umongo | sync/async MongoDB ODM | Object-Relational Mapping library
kandi X-RAY | umongo Summary
kandi X-RAY | umongo Summary
sync/async MongoDB ODM, yes.
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Top functions reviewed by kandi - BETA
- Commit changes made
- Return an iterator over the attributes
- Get field name and field
- Set the value of a field
- Return a list of indexes for this document
- Parse an index
- Commit the object
- Validate the data
- Commit changes
- Validate the proxy data
- Update a user
- Migrate embedded documents
- Patch the validation_cls
- Patch the value of the field
- Deserialize value
- Validate the value of a dict
- Start the garage
- Validate a list of values
- Change user password
- Apply custom validation functions
- Deserialize a value
- Delete document from database
- Populate the database
- Register a template
- Validate missing values
- Delete the document from the database
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umongo Examples and Code Snippets
Community Discussions
Trending Discussions on umongo
QUESTION
While creating a web app using Flask or FastAPI, there would be a main.py file that basically instantiates and runs everything. I think that is also the right place for the database connections and initialization. So ideally I'd like to have a separate model.py file that basically just has the object document mapping definitions and nothing else.
Is it possible to do something like that in umongo?
I mean we need to call @instance.register
above every object document map class. But if that is in a separate file and the DB is not initialized there, then in that file there are no instances. The instance would be declared in the main.py file.
For example, when you use Tortoise, it allows you to pass the whole model.py file as a module and register it with FastAPI like the following -
...ANSWER
Answered 2020-Nov-20 at 07:52You can instantiate the instance at import but pass it a DB connection at app init.
common.py
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No vulnerabilities reported
Install umongo
You can use umongo 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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