Metadata-Version: 2.1
Name: firestore-ci
Version: 1.0.0b2
Summary: ORM for Firestore with cascade
Home-page: https://github.com/crazynayan/firestore
Author: Nayan Zaveri
Author-email: nayan@crazyideas.co.in
License: MIT
Description: # Google Firestore ORM
        
        This is yet another attempt to create an ORM for Google Firestore Database. 
        This one is relatively simple one with not too many option to customize.
        In fact the entire source code is in one file firestore-ci.py.
        The main feature of this ORM is to auto-link a one-to-many relationship between two collections / objects.
        
        ## How to use?
        1. Install firestore-ci `pip install firestore-ci`
        2. Save the service-account json key in your project folder & give it a name. For e.g. `google-cloud.json`
        3. Set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to the json file. 
        For e.g. in Linux `export GOOGLE_APPLICATION_CREDENTIALS="google-cloud.json"`
        4. Import `FirestoreDocument` from firestore-ci `from firestore-ci import FirestoreDocument`
        5. Make your object model using `FirestoreDocument` For e.g. `class User(FirestoreDocument)`
        6. Override the `__init__()` method to add your fields
        7. Outside the model, call the `init()` method of Firestore document. For e.g. `User.init()` 
        8. Here is a sample `models.py` file
        ```python
        from firestore_ci import FirestoreDocument
        
        class User(FirestoreDocument):
            def __init__(self):
                super().__init__()
                self.name = str()
                self.email = str()
        
        User.init()
        ```
Keywords: firestore google orm cascade
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5
Description-Content-Type: text/markdown
