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

Last update: Dec 17, 2021

Related tags

Deep Learning citymall-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"
        }
    }

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

Related tags

Overview

Citymall-task

Installation

Requrements :

To create user

To login

To create task

To update task

To delete task

To list tasks

Note

Owner

Aisha Tayyaba

Fast Scattering Transform with CuPy/PyTorch

"Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021

An implementation of based on pytorch and mmcv

Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper

Python implementation of "Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation"

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

Adversarial Attacks on Probabilistic Autoregressive Forecasting Models.

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Model parallel transformers in Jax and Haiku

Code for KHGT model, AAAI2021

Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic Scenes", ICCV 2021.

PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2021)

CMSC320 - Introduction to Data Science - Fall 2021

VQGAN+CLIP Colab Notebook with user-friendly interface.

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Motion .

This is an open source python repository for various python tests

The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"