Dinamopy is a python helper library for dynamodb

Overview

Dinamopy

Dinamopy is a python helper library for dynamodb. You can define your access patterns in a json file and can use dynamic method names to make operations.

Installation

Use the package manager pip to install dinamopy.

pip install dinamopy

Usage

app.py

from decimal import Decimal
import dinamopy


class MyHooks(dinamopy.DinamoHooks):
    def after_get(self, response):
        for k, v in response.items():
            if isinstance(v, Decimal):
                response[k] = int(v)
        return response

db = dinamopy.DinamoPy('dinamopy.json', MyHooks())

db.put(item={
    'customerId': 'xyz',
    'sk': 'CUST#xyz',
    'email': '[email protected]',
    'fullName': 'Rasim Andiran',
    'userPreferences': {'language': 'en', 'sort': 'date', 'sortDirection': 'ascending'}
})

db.overwrite(item={
    'customerId': 'xyz',
    'sk': 'CUST#xyz',
    'email': '[email protected]',
    'fullName': 'Rasim Andiran',
    'userPreferences': {'language': 'en', 'sort': 'date', 'sortDirection': 'ascending'}
})

db.get_customer_profile_by_customer_id(customerId='xyz')
db.get_bookmarks_by_customer_id(customerId='123')
db.get_customer_profile_by_email(email='[email protected]')
db.get_bookmarks_by_url(url='https://aws.amazon.com', customerId='123')
db.get_customer_folder(customerId='123', folder='Cloud')

db.update_customer_profile_by_customer_id(customerId='321', sk='CUST#321', new_fields={'email': '[email protected]'})
db.update_bookmarks_by_customer_id(customerId='123', sk='https://aws.amazon.com', new_fields={'folder': 'Tools'})
db.update_customer_profile_by_email(email='[email protected]', new_fields={'fullName': 'Rasim Andiran'})
db.update_bookmarks_by_url(url='https://aws.amazon.com', customerId='123', new_fields={'description': 'Deneme'})
db.update_customer_folder(customerId='123', folder='Cloud', new_fields={'folder': 'CloudFolder'})

db.delete_customer_profile_by_customer_id(customerId='123')
db.delete_bookmarks_by_customer_id(customerId='123', sk='https://aws.amazon.com', new_fields={'folder': 'Tools'})
db.delete_customer_profile_by_email(email='[email protected]', new_fields={'fullName': 'Rasim Andiran'})
db.delete_bookmarks_by_url(url='https://aws.amazon.com', customerId='123', new_fields={'description': 'Deneme'})
db.delete_customer_folder(customerId='123', folder='Cloud', new_fields={'folder': 'CloudFolder'})

dinamopy.json

{
    "region": "localhost",
    "port": 8000,
    "tableName": "CustomerBookmark",
    "partitionKey": "customerId", 
    "sortKey": "sk",
    "timestamps": true,
    "paranoid": true,
    "returnRawResponse": false,
    "logLevel": "debug",
    "accessPatterns": {
        "customerProfileByCustomerId": {
            "table": "table",
            "partitionKey": "customerId",
            "sortKey": "sk",
            "sortKeyOperator": "begins_with",
            "sortKeyValue": "CUST#"
        },
        "bookmarksByCustomerId": {
            "table": "table",
            "partitionKey": "customerId",
            "sortKey": "sk",
            "sortKeyOperator": "begins_with",
            "sortKeyValue": "http"
        },
        "customerProfileByEmail": {
            "table": "ByEmail",
            "partitionKey": "email"
        },
        "bookmarksByUrl": {
            "table": "ByUrl",
            "partitionKey": "url",
            "sortKey": "customerId"
        },
        "customerFolder": {
            "table": "ByCustomerFolder",
            "partitionKey": "customerId",
            "sortKey": "folder"
        }
    }
}

To-Do

  • More generic hooks
  • Logging
  • Tests
  • Documentation

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

MIT

You might also like...
A HugSQL-inspired database library for Python

PugSQL PugSQL is a simple Python interface for using parameterized SQL, in files. See pugsql.org for the documentation. To install: pip install pugsql

A library for python made by me,to make the use of MySQL easier and more pythonic

my_ezql A library for python made by me,to make the use of MySQL easier and more pythonic This library was made by Tony Hasson , a 25 year old student

Py2neo is a client library and toolkit for working with Neo4j from within Python

Py2neo Py2neo is a client library and toolkit for working with Neo4j from within Python applications. The library supports both Bolt and HTTP and prov

Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment.

Databank Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment. No ORM, no frills. Thread-safe. Only ra

aiopg is a library for accessing a PostgreSQL database from the asyncio

aiopg aiopg is a library for accessing a PostgreSQL database from the asyncio (PEP-3156/tulip) framework. It wraps asynchronous features of the Psycop

aiomysql is a library for accessing a MySQL database from the asyncio

aiomysql aiomysql is a "driver" for accessing a MySQL database from the asyncio (PEP-3156/tulip) framework. It depends on and reuses most parts of PyM

aioodbc - is a library for accessing a ODBC databases from the asyncio

aioodbc aioodbc is a Python 3.5+ module that makes it possible to access ODBC databases with asyncio. It relies on the awesome pyodbc library and pres

google-cloud-bigtable Apache-2google-cloud-bigtable (🄈31 · ⭐ 3.5K) - Google Cloud Bigtable API client library. Apache-2

Python Client for Google Cloud Bigtable Google Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many cor

edaSQL is a library to link SQL to Exploratory Data Analysis and further more in the Data Engineering.
edaSQL is a library to link SQL to Exploratory Data Analysis and further more in the Data Engineering.

edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.

Releases(latest)
Use SQL query in a jupyter notebook!

SQL-query Use SQL query in a jupyter notebook! The table I used can be found on UN Data. Or you can just click the link and download the file undata_s

Chuqin 2 Oct 05, 2022
PyMongo - the Python driver for MongoDB

PyMongo Info: See the mongo site for more information. See GitHub for the latest source. Documentation: Available at pymongo.readthedocs.io Author: Mi

mongodb 3.7k Jan 08, 2023
A simple wrapper to make a flat file drop in raplacement for mongodb out of TinyDB

Purpose A simple wrapper to make a drop in replacement for mongodb out of tinydb. This module is an attempt to add an interface familiar to those curr

180 Jan 01, 2023
MongoX is an async python ODM for MongoDB which is built on top Motor and Pydantic.

MongoX MongoX is an async python ODM (Object Document Mapper) for MongoDB which is built on top Motor and Pydantic. The main features include: Fully t

Amin Alaee 112 Dec 04, 2022
PyRemoteSQL is a python SQL client that allows you to connect to your remote server with phpMyAdmin installed.

PyRemoteSQL Python MySQL remote client Basically this is a python SQL client that allows you to connect to your remote server with phpMyAdmin installe

ProbablyX 3 Nov 04, 2022
Records is a very simple, but powerful, library for making raw SQL queries to most relational databases.

Records: SQL for Humansā„¢ Records is a very simple, but powerful, library for making raw SQL queries to most relational databases. Just write SQL. No b

Kenneth Reitz 6.9k Jan 03, 2023
Tool for synchronizing clickhouse clusters

clicksync Tool for synchronizing clickhouse clusters works only with partitioned MergeTree tables can sync clusters with different node number uses in

Alexander Rumyantsev 1 Nov 30, 2021
Google Sheets Python API v4

pygsheets - Google Spreadsheets Python API v4 A simple, intuitive library for google sheets which gets your work done. Features: Open, create, delete

Nithin Murali 1.4k Dec 31, 2022
GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.

GINO - GINO Is Not ORM - is a lightweight asynchronous ORM built on top of SQLAlchemy core for Python asyncio. GINO 1.0 supports only PostgreSQL with

GINO Community 2.5k Dec 27, 2022
A Python DB-API and SQLAlchemy dialect to Google Spreasheets

Note: shillelagh is a drop-in replacement for gsheets-db-api, with many additional features. You should use it instead. If you're using SQLAlchemy all

Beto Dealmeida 185 Jan 01, 2023
A Python wheel containing PostgreSQL

postgresql-wheel A Python wheel for Linux containing a complete, self-contained, locally installable PostgreSQL database server. All servers run as th

Michel Pelletier 71 Nov 09, 2022
This repository is for active development of the Azure SDK for Python.

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

Microsoft Azure 3.4k Jan 02, 2023
GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.

GINO - GINO Is Not ORM - is a lightweight asynchronous ORM built on top of SQLAlchemy core for Python asyncio. GINO 1.0 supports only PostgreSQL with

GINO Community 2.5k Dec 29, 2022
Async ORM based on PyPika

PyPika-ORM - ORM for PyPika SQL Query Builder The package gives you ORM for PyPika with asycio support for a range of databases (SQLite, PostgreSQL, M

Kirill Klenov 7 Jun 04, 2022
Confluent's Kafka Python Client

Confluent's Python Client for Apache KafkaTM confluent-kafka-python provides a high-level Producer, Consumer and AdminClient compatible with all Apach

Confluent Inc. 3.1k Jan 05, 2023
SAP HANA Connector in pure Python

SAP HANA Database Client for Python Important Notice This public repository is read-only and no longer maintained. The active maintained alternative i

SAP Archive 299 Nov 20, 2022
Async ODM (Object Document Mapper) for MongoDB based on python type hints

ODMantic Documentation: https://art049.github.io/odmantic/ Asynchronous ODM(Object Document Mapper) for MongoDB based on standard python type hints. I

Arthur Pastel 732 Dec 31, 2022
MySQLdb is a Python DB API-2.0 compliant library to interact with MySQL 3.23-5.1 (unofficial mirror)

==================== MySQLdb Installation ==================== .. contents:: .. Prerequisites ------------- + Python 2.3.4 or higher * http://ww

SƩbastien Arnaud 17 Oct 10, 2021
Asynchronous, fast, pythonic DynamoDB Client

AsyncIO DynamoDB Asynchronous pythonic DynamoDB client; 2x faster than aiobotocore/boto3/botocore. Quick start With httpx Install this library pip ins

HENNGE 48 Dec 18, 2022
Anomaly detection on SQL data warehouses and databases

With CueObserve, you can run anomaly detection on data in your SQL data warehouses and databases. Getting Started Install via Docker docker run -p 300

Cuebook 171 Dec 18, 2022