e947feb3e3
Replaces the Plotly-based graph generation in the SQL Explorer with direct SVG rendering within an HTML template, similar to the exercise progress sparklines. - Modifies `routes/sql_explorer.py` endpoints (`plot_query`, `plot_unsaved_query`) to fetch raw data instead of using pandas/Plotly. - Adds `utils.prepare_svg_plot_data` to process raw SQL results, determine plot type (scatter, line, bar, table), normalize data, and prepare it for SVG. - Creates `templates/partials/sql_explorer/svg_plot.html` to render the SVG plot with axes, ticks, labels, and basic tooltips. - Removes the `generate_plot` function's usage for SQL Explorer and the direct dependency on Plotly for this feature.
Workout tracker
Track topsets over time.
Setup
Install python>3
Install dependencies
$ pip install -r requirements.txt
Enable development mode
PS $ENV:FLASK_ENV='development'
Set database url, either setup postgres database locally use migration script or expose deployed one
$Env:DATABASE_URL = 'postgres://postgres:***@***:***/***'
Start application:
flask run
Features
- Track topsets for each workout
- Multi user
- Authentication/Authorisation