Api's bulid in Flask perfom to manage Todo Task.

Overview

Citymall-task

Api's bulid in Flask perfom to manage Todo Task.

Installation

Requrements :

Python: 3.10.0

MongoDB

create .env file with variables

DB_URI= <Enter Database Url>
DATABASE = TodoApp
COLLECTION = sample1
SECRET_KEY = <Enter Secret key to genrate jwt>

For linux : bash run.sh

For other os:

python3 -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
python app.py

To create user

url : /user/create

method : POST

request body :

{
    "name":"<value --Optinal>",
    
    "email":"<value>", 
    
    "password":"<value>",
  
}

To login

url : /user/login

method : POST

request body :

{
    "email":"<value>", 
    
    "password":"<value>" 
}

To create task

url : /todo/create

method : POST

request header :

"authToken" : "<token>" 

request body :

{
    "title":"<value>", 
}

To update task

url : /todo/update<taskid>

method : POST

request header :

"authToken" : "<token>" 

request body :

{
    "title":"<value>", 
}

To delete task

url : /todo/delete<taskid>

method : GET

request header :

"authToken" : "<token>" 

To list tasks

url : /todo/list

method : GET

request header :

"authToken" : "<token>"

Note

**Note: Task identified by based on uuid()

**Note: mime type for hole application is 'application/json'

**Note: Database Sample Schema

 {
        "_id": {
            "$oid": "61bb414683ea3057af8d2ef1"
        },
        "name": "Aisha Tayyaba",
        "user_id": "[email protected]",
        "password": "pbkdf2:sha256:260000$wjtTXbzXTm26HeJz$5350efbd8bb18e81c6db671ad0e822e82dcfcf87a3d90ab4994bac8107b28378",
        "tasklist": {
            "8eec9230-50b8-4808-9961-5b908c03f703": "example task 1",
            "942ab88d-595f-417b-963d-59147cbc455f": "example task 2"
        }
    }
Owner
Aisha Tayyaba
Aisha Tayyaba
[AI6101] Introduction to AI & AI Ethics is a core course of MSAI, SCSE, NTU, Singapore

[AI6101] Introduction to AI & AI Ethics is a core course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6101 of Semester 1, AY2021-2022, starting from 08/2021. The instructors of

AccSrd 1 Sep 22, 2022
🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key

Microsoft Edge TTS for Home Assistant This component is based on the TTS service of Microsoft Edge browser, no need to apply for app_key. Install Down

152 Dec 31, 2022
Boostcamp CV Serving For Python

Boostcamp-CV-Serving Prerequisites MySQL GCP Cloud Storage GCP key file Sentry Streamlit Cloud Secrets: .streamlit/secrets.toml #DO NOT SHARE THIS I

Jungwon Seo 19 Feb 22, 2022
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Heterogeneous Graph Benchmark Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks. Roadmap We organize our repo by task, and on

THUDM 176 Dec 17, 2022
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

faceswap-GAN Adding Adversarial loss and perceptual loss (VGGface) to deepfakes'(reddit user) auto-encoder architecture. Updates Date Update 2018-08-2

3.2k Dec 30, 2022
Jittor 64*64 implementation of StyleGAN

StyleGanJittor (Tsinghua university computer graphics course) Overview Jittor 64

Song Shengyu 3 Jan 20, 2022
Gym Threat Defense

Gym Threat Defense The Threat Defense environment is an OpenAI Gym implementation of the environment defined as the toy example in Optimal Defense Pol

Hampus Ramström 5 Dec 08, 2022
Paddle implementation for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

ProcrustEs-KGE Paddle implementation for Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis 🙈 A more detailed re

Lincedo Lab 4 Jun 09, 2021
A Blender python script for getting asset browser custom preview images for objects and collections.

asset_snapshot A Blender python script for getting asset browser custom preview images for objects and collections. Installation: Click the code butto

Johnny Matthews 44 Nov 29, 2022
Flower - A Friendly Federated Learning Framework

Flower - A Friendly Federated Learning Framework Flower (flwr) is a framework for building federated learning systems. The design of Flower is based o

Adap 1.8k Jan 01, 2023
Pytorch Implementation of Residual Vision Transformers(ResViT)

ResViT Official Pytorch Implementation of Residual Vision Transformers(ResViT) which is described in the following paper: Onat Dalmaz and Mahmut Yurt

ICON Lab 41 Dec 08, 2022
Python package to generate image embeddings with CLIP without PyTorch/TensorFlow

imgbeddings A Python package to generate embedding vectors from images, using OpenAI's robust CLIP model via Hugging Face transformers. These image em

Max Woolf 81 Jan 04, 2023
Autoencoder - Reducing the Dimensionality of Data with Neural Network

autoencoder Implementation of the Reducing the Dimensionality of Data with Neural Network – G. E. Hinton and R. R. Salakhutdinov paper. Notes Aim to m

Jordan Burgess 13 Nov 17, 2022
Object-aware Contrastive Learning for Debiased Scene Representation

Object-aware Contrastive Learning Official PyTorch implementation of "Object-aware Contrastive Learning for Debiased Scene Representation" by Sangwoo

43 Dec 14, 2022
Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".

Pytorch 1.10.0 code for: Negative Evidence Matters in Interpretable Histology Image Classification (https://arxiv. org/abs/xxxx.xxxxx) Citation: @arti

Soufiane Belharbi 4 Dec 01, 2022
This project is used for the paper Differentiable Programming of Isometric Tensor Network

This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)

Chenhua Geng 15 Dec 13, 2022
This is the code for HOI Transformer

HOI Transformer Code for CVPR 2021 accepted paper End-to-End Human Object Interaction Detection with HOI Transformer. Reproduction We recomend you to

BigBangEpoch 124 Dec 29, 2022
An implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional Neural Network"

Retina Blood Vessels Segmentation This is an implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional

Srijarko Roy 23 Aug 20, 2022
Official Repo for ICCV2021 Paper: Learning to Regress Bodies from Images using Differentiable Semantic Rendering

[ICCV2021] Learning to Regress Bodies from Images using Differentiable Semantic Rendering Getting Started DSR has been implemented and tested on Ubunt

Sai Kumar Dwivedi 83 Nov 27, 2022
Disturbing Target Values for Neural Network regularization: attacking the loss layer to prevent overfitting

Disturbing Target Values for Neural Network regularization: attacking the loss layer to prevent overfitting 1. Classification Task PyTorch implementat

Yongho Kim 0 Apr 24, 2022