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.