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Query Strava data with LangChain (and Twilio) and then use that data to generate a personal marathon training plan with SendGrid

  • data_files has Strava data in different files.
    • activities.csv are my workouts from Strava. They include all my workouts from 2021 to present and the workouts have the following columns: name,type,distance,moving_time,total_elevation_gain,start_date
    • rides.csv has my workouts filtered for type ride - runs.csv has my workouts filtered for type run - walks.csv has my workouts filtered for type run
  • plans has marathon training plans.
    • plan.pdf is an AI-generated workout plan for me based on my Strava data.
    • 20-Weeks-Marathon-Training-Plan-Miles.pdf is a marathon plan I got online
    • Marathon.pdfis a 16-week Marathon Training Schedule for Novice Runners
  • strava-token.py generates a Strava API token
  • swagger.yml has OpenAPI specification for the Strava API
  • csv-agent-pd-agent.py uses a Pandas dataframe agent to query Strava data from activities.csv with a Pandas Dataframe.
  • openapi-agent.py reads swagger.yml and makes queries to Strava with OpenAPISpec Agent
  • openapi-chain.py reads swagger.yml and makes queries to Strava with OpenAPISpec Chain
  • request.py generates a personal marathon training plan using SendGrid, Pandas Dataframe agent, tools like calculating the current date and Search, a CustomPromptTemplate, CustomOutputParser, LLMSingleActionAgent, and AgentExecutor.