I’ve been learning Python for a few months, and really wanted to share one of my projects with friends and online. Learning HTML/CSS/JS or any framework for front-end seemed like a whole lot of work for such a simple wish.
I solved this by using Abstra's lib (full disclaimer: I've been working for them!). I was able to generate a UI and navigation from my script just by updating the commands, for example from “input” to “read”. The entire web app is just 1 Python file + 1 tsv file.
I used an authentication widget to share with friends, but opted for a simple username here so everyone could test it without hassle. Apart from the hackerforms library, I used Pandas and Plotly to build and display the graph.
It’s a really simple script, but I loved how it’s possible to build such a useful tool in just a few lines of code.
Click here to try out the tracker
Source code:
from hackerforms import *
import pandas as pd
from os.path import exists
import time
import datetime
import plotly.express as px
user = read("What's your username? Choose one and use it everytime to see your progress!")
option = read_multiple_choice(f'Hey {user}. What would you like to do?', ['Insert new weight', 'See progress'], button_text=None)
if not exists("weights.tsv"):
with open("weights.tsv", "a") as f:
f.write("user\tweight\tdate\n")
if option == 'Insert new weight':
now = time.localtime()
year = now.tm_year
month = now.tm_mon
day = now.tm_mday
date = read_date("Add date of measurement", initial_value=datetime.date(year,month,day))
weight = read_number("Fill your weight")
with open("weights.tsv", "a") as f:
f.write(f"{user}\t{weight}\t{date}\n")
df = pd.read_csv("weights.tsv", delimiter="\t")
df.date = df.date.astype('datetime64')
df = df.sort_values('date')
df = df[df.user == user]
fig = px.line(df, x='date', y='weight')
display_plotly(fig)
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