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
Investment and risk technologies maintained by Fortitudo Technologies.

Fortitudo Technologies Open Source This package allows you to freely explore open-source implementations of some of our fundamental technologies under

Fortitudo Technologies 11 Dec 14, 2022
PyFlow is a general purpose visual scripting framework for python

PyFlow is a general purpose visual scripting framework for python. State Base structure of program implemented, such things as packages disco

1.8k Jan 07, 2023
Simple, realtime visualization of neural network training performance.

pastalog Simple, realtime visualization server for training neural networks. Use with Lasagne, Keras, Tensorflow, Torch, Theano, and basically everyth

Rewon Child 416 Dec 29, 2022
Extract and visualize information from Gurobi log files

GRBlogtools Extract information from Gurobi log files and generate pandas DataFrames or Excel worksheets for further processing. Also includes a wrapp

Gurobi Optimization 56 Nov 17, 2022
flask extension for integration with the awesome pydantic package

Flask-Pydantic Flask extension for integration of the awesome pydantic package with Flask. Installation python3 -m pip install Flask-Pydantic Basics v

249 Jan 06, 2023
Displaying plot of death rates from past years in Poland. Data source from these years is in readme

Average-Death-Rate Displaying plot of death rates from past years in Poland The goal collect the data from a CSV file count the ADR (Average Death Rat

Oliwier Szymański 0 Sep 12, 2021
A GUI for Pandas DataFrames

About Demo Installation Usage Features More Info About PandasGUI is a GUI for viewing, plotting and analyzing Pandas DataFrames. Demo Installation Ins

Adam Rose 2.8k Dec 24, 2022
Small binja plugin to import header file to types

binja-import-header (v1.0.0) Author: matteyeux Import header file to Binary Ninja types view Description: Binary Ninja plugin to import types from C h

matteyeux 15 Dec 10, 2022
Focus on Algorithm Design, Not on Data Wrangling

The dataTap Python library is the primary interface for using dataTap's rich data management tools. Create datasets, stream annotations, and analyze model performance all with one library.

Zensors 37 Nov 25, 2022
HW 2: Visualizing interesting datasets

HW 2: Visualizing interesting datasets Check out the project instructions here! Mean Earnings per Hour for Males and Females My first graph uses data

7 Oct 27, 2021
Data visualization electromagnetic spectrum

Datenvisualisierung-Elektromagnetischen-Spektrum Anhand des Moduls matplotlib sollen die Daten des elektromagnetischen Spektrums dargestellt werden. D

Pulsar 1 Sep 01, 2022
SummVis is an interactive visualization tool for text summarization.

SummVis is an interactive visualization tool for analyzing abstractive summarization model outputs and datasets.

Robustness Gym 246 Dec 08, 2022
Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly

Peloton Stats to Google Sheets with Data Visualization through Seaborn and Plotly Problem: 2 peloton users were looking for a way to track their metri

9 Jul 22, 2022
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Dylan Tintenfich 55 Dec 28, 2022
Generate "Jupiter" plots for circular genomes

jupiter Generate "Jupiter" plots for circular genomes Description Python scripts to generate plots from ViennaRNA output. Written in "pidgin" python w

Robert Edgar 2 Nov 29, 2021
Visualizations of linear algebra algorithms for people who want a deep understanding

Visualising algorithms on symmetric matrices Examples QR algorithm and LR algorithm Here, we have a GIF animation of an interactive visualisation of t

ogogmad 3 May 05, 2022
Regress.me is an easy to use data visualization tool powered by Dash/Plotly.

Regress.me Regress.me is an easy to use data visualization tool powered by Dash/Plotly. Regress.me.-.Google.Chrome.2022-05-10.15-58-59.mp4 Get Started

Amar 14 Aug 14, 2022
Interactive Dashboard for Visualizing OSM Data Change

Dashboard and intuitive data downloader for more interactive experience with interpreting osm change data.

1 Feb 20, 2022
A collection of 100 Deep Learning images and visualizations

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

AI Summer 65 Sep 12, 2022
Time series visualizer is a flexible extension that provides filling world map by country from real data.

Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d

Long Ng 3 Jul 09, 2021