Because trello only have payed options to generate a RunUp chart, this solves that!

Overview

Trello Runup Chart Generator

The basic concept of the project is that Corello is pay-to-use and want to use Trello To-Do/Doing/Done automation with github for personal projects, I created a webscraper that will collect data of To-Do/Doing/Done lists in trello (without using the api), will generate a run-up chart and assign it into a trello card.

There's a few things that are hard-coded and can be automated, but for me it's not worth the time.

Set-up

Trello Set-up

Create 4 lists and create a model for the cards. It should look like this: Example

What (x) means? Well, x is the amount of points that card is valuated, in run-up charts we like to attribue some sort of importance or ranking of which task should be priority, points indicate that. Change the x of each card to correlate with the importance of the task.

Also, rememember to change the URL inside the main.py to your trello board URL

Finding the Lists

I used a webscraper to scrape the cards content, but the index of those lists are hard-coded (see main.py line 50-52), the webScraping(listID) function requires the listID. To find your lists ID simply count how many lists there are, and their index should be where they are. So change their ID's on code. Ex: 4 lists, 1: to-do, 2: doing, 3: done, 4: Run-upChart Example2

Trello API SETUP

To use the imageToTrello automation you'll need api tokens/auth to upload image directly to a trello card. Remember to change the card ID and the necessary API keys in keys.py If you never used Trello API, google the trello doc or click here.

Options

Everytime you run the code it will ask you the date that you want to associate with the data retrieved. If you don't want that. change line 85 from:

diaAtual = datetime(int(ano), int(mes), int(dia)) 

to:

diaAtual = datetime.now()

and remove lines 74-84 (date inputs), but i recommend you saying the date. It's effortless.

Graph generation

The Old data is stores inside historico.json, so if you already gathered data manually, insert it by hand into historico.json or create a code to insert it for you. After gathering new data it will automatically append them there, and i'll spare you the issue of manual appends.

You will also need to insert the CardID in keys.py. To find the cardID, open the card that you want to insert the runup chart, the ID is in the link, ex:

https://trello.com/c/a37YCykl/exampleExampleexample

The CardID of this link is "a37YCykl"

Running

To run it, simply use any bash to run main.py. If everything is set-up correctly you should see no errors and a historico.json should be created with the data gathered.

Owner
Rômulo Schiavon
Graduating at Computer Engineering in UFSC Araranguá, Brazil. Always learning new stuff :)
Rômulo Schiavon
3D-Lorenz-Attractor-simulation-with-python

3D-Lorenz-Attractor-simulation-with-python Animação 3D da trajetória do Atrator de Lorenz, implementada em Python usando o método de Runge-Kutta de 4ª

Hevenicio Silva 17 Dec 08, 2022
A Jupyter - Leaflet.js bridge

ipyleaflet A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook. Usage Selecting a basemap for a leaflet map: Loading a geojso

Jupyter Widgets 1.3k Dec 27, 2022
This project is created to visualize the system statistics such as memory usage, CPU usage, memory accessible by process and much more using Kibana Dashboard with Elasticsearch.

System Stats Visualizer This project is created to visualize the system statistics such as memory usage, CPU usage, memory accessible by process and m

Vishal Teotia 5 Feb 06, 2022
Generate a 3D Skyline in STL format and a OpenSCAD file from Gitlab contributions

Your Gitlab's contributions in a 3D Skyline gitlab-skyline is a Python command to generate a skyline figure from Gitlab contributions as Github did at

Félix Gómez 70 Dec 22, 2022
EPViz is a tool to aid researchers in developing, validating, and reporting their predictive modeling outputs.

EPViz (EEG Prediction Visualizer) EPViz is a tool to aid researchers in developing, validating, and reporting their predictive modeling outputs. A lig

Jeff 2 Oct 19, 2022
100 Days of Code The Complete Python Pro Bootcamp for 2022

100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up

Rajdip Das 8 Jun 22, 2022
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data

ScisorWiz: Vizualizer for Differential Isoform Expression README ScisorWiz is a linux-based R-package for visualizing differential isoform expression

Alexander Stein 6 Oct 04, 2022
:small_red_triangle: Ternary plotting library for python with matplotlib

python-ternary This is a plotting library for use with matplotlib to make ternary plots plots in the two dimensional simplex projected onto a two dime

Marc 611 Dec 29, 2022
Datapane is the easiest way to create data science reports from Python.

Datapane Teams | Documentation | API Docs | Changelog | Twitter | Blog Share interactive plots and data in 3 lines of Python. Datapane is a Python lib

Datapane 744 Jan 06, 2023
Drug design and development team HackBio internship is a virtual bioinformatics program that introduces students and professional to advanced practical bioinformatics and its applications globally.

-Nyokong. Drug design and development team HackBio internship is a virtual bioinformatics program that introduces students and professional to advance

4 Aug 04, 2022
Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python

Petrel Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python. NOTE: The base Storm package provides storm.py, which

AirSage 247 Dec 18, 2021
Declarative statistical visualization library for Python

Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa

Altair 8k Jan 05, 2023
Smarthome Dashboard with Grafana & InfluxDB

Smarthome Dashboard with Grafana & InfluxDB This is a complete overhaul of my Raspberry Dashboard done with Flask. I switched from sqlite to InfluxDB

6 Oct 20, 2022
Parallel t-SNE implementation with Python and Torch wrappers.

Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also wo

Dmitry Ulyanov 1.7k Jan 09, 2023
Wikipedia WordCloud App generate Wikipedia word cloud art created using python's streamlit, matplotlib, wikipedia and wordcloud packages

Wikipedia WordCloud App Wikipedia WordCloud App generate Wikipedia word cloud art created using python's streamlit, matplotlib, wikipedia and wordclou

Siva Prakash 5 Jan 02, 2022
A small collection of tools made by me, that you can use to visualize atomic orbitals in both 2D and 3D in different aspects.

Orbitals in Python A small collection of tools made by me, that you can use to visualize atomic orbitals in both 2D and 3D in different aspects, and o

Prakrisht Dahiya 1 Nov 25, 2021
A minimalistic wrapper around PyOpenGL to save development time

glpy glpy is pyOpenGl wrapper which lets you work with pyOpenGl easily.It is not meant to be a replacement for pyOpenGl but runs on top of pyOpenGl to

Abhinav 9 Apr 02, 2022
High performance, editable, stylable datagrids in jupyter and jupyterlab

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

J.P. Morgan Chase 75 Dec 15, 2022
Mapomatic - Automatic mapping of compiled circuits to low-noise sub-graphs

mapomatic Automatic mapping of compiled circuits to low-noise sub-graphs Overvie

Qiskit Partners 27 Nov 06, 2022
HW_02 Data visualisation task

HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa

9 Dec 13, 2022