Helper functions to work assist routine class scheduling tasks.
Installation
You can install the development version of rpc from GitHub with:
# install.packages("pak")
pak::pak("laijasmine/rpc")Generate class information
Provide a start date and number of sessions to generate a draft schedule:
rpc::get_classes("2025-09-15", 9, TRUE)
#> [1] "2025-09-15" "2025-09-29" "2025-10-20" "2025-11-03" "2025-11-17"
#> [6] "2025-12-01" "2025-12-15" "2025-12-29" "2026-01-12"Then use the generated class schedule and format it into a valid dataframe for Google Calendar
class_schedule <- rpc::get_class_schedule(sheet = "2025 Fall")
calendar_df <- rpc::create_calendar_events(class_schedule)
calendar_df
#> # A tibble: 75 × 4
#> Subject `Start Time` `End Time` `Start Date`
#> <glue> <chr> <chr> <chr>
#> 1 Monday public class 6:00 PM 9:00 PM 2025-09-15
#> 2 Monday public class 6:00 PM 9:00 PM 2025-09-22
#> 3 Monday public class 6:00 PM 9:00 PM 2025-09-29
#> 4 Monday public class 6:00 PM 9:00 PM 2025-10-06
#> 5 Monday public class 6:00 PM 9:00 PM 2025-10-20
#> 6 Monday public class 6:00 PM 9:00 PM 2025-10-27
#> 7 Monday public class 6:00 PM 9:00 PM 2025-11-03
#> 8 Monday public class 6:00 PM 9:00 PM 2025-11-10
#> 9 Monday public class 6:00 PM 9:00 PM 2025-11-17
#> 10 Tuesday public class 10:00 AM 1:00 PM 2025-09-16
#> # ℹ 65 more rowsUpload the saved csv file to Google:
readr::write_csv(calendar_df, tempfile())