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 cc_survey_df = get_cc_project_summary(token, project_df, project_id) # Display survey dataframe cc_survey_df
# Refresh token token = get_refresh_token(token) # Get species dataframe species_df = get_species(token = token) # Get Colony Count bulk dataframe cc_bulk_df = get_colony_bulk_counts(token, cc_survey_df, project_id, species_df) # Display Colony Count dataframe cc_bulk_df
# Edit these two variables below to your local system (file_name, out_dir) file_name = 'name_of_ma_report.docx' out_dir = '/directory/to/download/report' # Make sure this ends without a '/' cc_doc = build_col_doc(out_dir = out_dir, project_df = project_df, project_id = project_id, cc_bulk_df = cc_bulk_df) # Save out your report print(cc_doc, target = paste0(out_dir, '/', file_name))
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