library(nabatr) # Enter your NABat username here username = 'NABat_Username' token = get_nabat_gql_token(username) token # Note: if you leave run token = get_nabat_gql_token(), # it will prompt you for a username and then a password
# Refresh token token = get_refresh_token(token) # Get your projects lookup table project_df = get_projects(token) # Display your projects lookup table project_df
# Refresh token token = get_refresh_token(token) # Fill in project id using the project_df lookup table project_id = 000 # Set equal to one of your project ids # Get survey dataframe sa_survey_df = get_sa_project_summary(token, project_df, project_id) sa_proj_dates = unique(sa_survey_df$year) # Display survey dataframe sa_survey_df
# Select Year for project (defaults to 1st available year) year = sa_proj_dates[1] # Refresh token token = get_refresh_token(token) # Get stationary acoustic bulk upload format dataframe sa_bulk_df = get_sa_bulk_wavs(token, sa_survey_df, year) # Display stationary acoustic bulk upload format dataframe sa_bulk_df
token = get_refresh_token(token) species_df = get_species(token) # Get Acoustic stationary acoustic bulk dataframe nightly_observed_list = get_observed_nights(sa_bulk_df)
# Edit these two variables below to your local system (file_name, out_dir) file_name = 'name_of_sa_report.docx' out_dir = '/directory/to/download/report' # Make sure this ends without a '/' sa_doc = build_sa_doc(out_dir = out_dir, project_df = project_df, project_id = project_id, sa_bulk_df = sa_bulk_df, sa_survey_df = sa_survey_df, species_df = species_df, selected_year = year, nightly_observed_list = nightly_observed_list, range_maps = TRUE) # Save out your report print(sa_doc, target = paste0(out_dir, '/', file_name))
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