This repository provides code for creating and managing a dashboard of Strava data. This includes a dashboard module for visualizing the data and an ingestion module for retrieving data from the Strava API.
The following Python libraries are required to run this code:
- Numpy
- Matplotlib
- Boto3
- Requests
- Selenium
- Pandas
This code takes data from the utils module and generates a moving average from it. It then creates a heatmap to represent Philadelphia data and sends the data frames and heatmap to an update_dashboard function in the dashboard module. Finally, it returns a value of 1.
This code creates a dashboard updates it with data from given data frames and a heatmap. Finally, it uploads the page to an s3 bucket in order to create a live dashboard.
This function prepares activity data stored on Amazon S3 and prepares it for analytics.
This code returns an html page with the Strava logo in the top left corner, a title and a link to the profile of the user, an encoded visualization of the data, and a link to the code on github at the bottom.
This code imports two utility libraries and uses their functions to update activities and related tables in an S3 bucket. It then returns 1.
This code imports the utils.secrets_manager module which will be used to get secrets. It then unpacks the secrets and defines parameters for creating a figure.
This code downloads a json table from s3, validates it, then reaches out to an external Strava API to request missing data which it appends to the json table and writes back to S3.
This code creates a Secrets Manager Client using the boto3 library, to retrieve stored configuration details from AWS Secrets Manager.
This code attempts to access the Strava API, as well as construct requests to the Straval API for activities, and validate responses.