Skip to main content

File based datastore

Project description

DataStore

Introduction

File-based key-value data store that supports the basic CRD (create, read, and delete) operations. This data store is meant to be used as a local storage for one single process on one laptop.

Installation

pip install pythonfiledatastore

Usage:

>>> from pythonfiledatastore import datastore_invoke 

General Instructions:

>>> print(datastore_invoke(0))
Operation Not Found  
1 for Create (--client --key  --ttl(optional) --value --filepath(optional)) 
2 for Read (--client --key --filepath(optional)) 
3 for Delete (--client --key --filepath(optional)) 
4 for Reset (--client --filepath(optional))

Create Operation with file path

>>> print(datastore_invoke(1, client = "hunch" , key = "employee_data", value = '{"employee":"siam"}', filepath = "/Users/user_name/Desktop/"))
Create Operation Done

Create Operation

>>> print(datastore_invoke(1, client = "hunch" , key = "employee_data", value = '{"employee":"siam"}'))
Create Operation Done

Create Operation with Time to Live feature

>>> print(datastore_invoke(1, client = "hunch" , key = "employee_data_temp", value = '{"employee":"ragoish"}', ttl = 30 ))
Create Operation Done

Read Operation

>>> print(datastore_invoke(2, client = "hunch" , key = "employee_data"))
For key | employee_data | value  - {'employee': 'siam'} 

Read Operation TTL Expired

>>> print(datastore_invoke(2, client = "hunch" , key = "employee_data_temp"))
Error Status : TTL Value for the Key - employee_data_temp expired for the client - hunch

Delete Operation

>>> print(datastore_invoke(3, client = "hunch" , key = "employee_data"))
Error Status : For key | employee_data | value - is deleted

Delete Operation TTL Expired

>>> print(datastore_invoke(3, client = "hunch" , key = "employee_data_temp"))
Error Status : TTL Value for the Key - employee_data_temp expired for the client - hunch

Note: After Delete Option if the client storage file is empty, A forced reset operation is performed

Reset Operation - Delete Entire file

>>> print(datastore_invoke(4, client = "hunch" ))
File removed!!!! - hunch

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pythonfiledatastore-1.5.tar.gz (5.4 kB view hashes)

Uploaded Source

Built Distribution

pythonfiledatastore-1.5-py2-none-any.whl (6.6 kB view hashes)

Uploaded Python 2

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page