## ----message=FALSE, warning=FALSE, include=FALSE------------------------------ library(ridigbio) # Load library for making nice HTML output library(kableExtra) ## ----echo = FALSE------------------------------------------------------------- verify_record_fields <- FALSE #Test that examples will run tryCatch({ # Your code that might throw an error verify_record_fields <- idig_meta_fields(type = "records", subset = "raw", limit = 10) rfall <- data.frame(matrix(ncol = 2, nrow = 0)) colnames(rfall) <- c("Type", "FieldNameValue") # Stricter schema verification for(i in 1:length(verify_record_fields)) { rf <- data.frame( Type = verify_record_fields[[i]]$type, FieldNameValue = verify_record_fields[[i]]$fieldName, stringsAsFactors = FALSE ) rfall <- rbind(rfall, rf) } if(nrow(rfall) <= 0) verify_record_fields <- FALSE }, error = function(e) { # Code to run if an error occurs cat("An error occurred during the idig_search_records call: ", e$message, "\n") cat("Vignettes will not be fully generated. Please try again after resolving the issue.") # Optionally, you can return NULL or an empty dataframe verify_record_fields <- FALSE }) ## ----eval=verify_record_fields------------------------------------------------ record_fields <- idig_meta_fields(type = "records", subset = "raw") rfall <- data.frame(matrix(ncol = 2, nrow = 0)) colnames(rfall) <- c("Type", "FieldNameValue") for(i in 1:length(record_fields)) { rf <- data.frame( Type = record_fields[[i]]$type, FieldNameValue = record_fields[[i]]$fieldName, stringsAsFactors = FALSE ) rfall <- rbind(rfall, rf) } colnames(rfall) <- c("type", "fieldName") nrow(rfall) ## ----eval=verify_record_fields------------------------------------------------ record_fields_index <- idig_meta_fields(type = "records", subset = "indexed") rfalli <- data.frame(matrix(ncol = 2, nrow = 0)) colnames(rfalli) <- c("Type", "FieldNameValue") for(i in 1:length(record_fields_index)) { rf <- data.frame( Type = record_fields_index[[i]]$type, FieldNameValue = record_fields_index[[i]]$fieldName, stringsAsFactors = FALSE ) rfalli <- rbind(rfalli, rf) } colnames(rfalli) <- c("type", "fieldName") nrow(rfalli) ## ----eval=verify_record_fields------------------------------------------------ setequal(rfall, rfalli) ## ----eval=verify_record_fields------------------------------------------------ rfall[171,] ## ----eval=verify_record_fields------------------------------------------------ rfalli[69,] ## ----eval=verify_record_fields------------------------------------------------ out <- idig_search_records(rq=list(scientificname="Galax urceolata"), fields = rfall$fieldName) ## ----eval=verify_record_fields------------------------------------------------ media_fields <- idig_meta_fields(type = "media", subset = "raw") mfall <- data.frame(matrix(ncol = 2, nrow = 0)) colnames(mfall) <- c("Type", "FieldNameValue") for(i in 1:length(media_fields)) { mf <- data.frame( Type = media_fields[[i]]$type, FieldNameValue = media_fields[[i]]$fieldName, stringsAsFactors = FALSE ) mfall <- rbind(mfall, mf) } colnames(mfall) <- c("type", "fieldName") nrow(mfall) ## ----eval=verify_record_fields------------------------------------------------ media_fields_indexed <- idig_meta_fields(type = "media", subset = "indexed") mfalli <- data.frame(matrix(ncol = 2, nrow = 0)) colnames(mfalli) <- c("Type", "FieldNameValue") for(i in 1:length(media_fields_indexed)) { mf <- data.frame( Type = media_fields_indexed[[i]]$type, FieldNameValue = media_fields_indexed[[i]]$fieldName, stringsAsFactors = FALSE ) mfalli <- rbind(mfalli, mf) } colnames(mfalli) <- c("type", "fieldName") nrow(mfalli) ## ----eval=verify_record_fields------------------------------------------------ mfalli$fieldName ## ----eval=verify_record_fields------------------------------------------------ out <- idig_search_media(rq=list(scientificname="Galax urceolata"), fields = mfalli$fieldName) out %>% kable() %>% kable_styling(bootstrap_options = c("striped", "hover", "condensed"), font_size = 12, fixed_thead = T) %>% scroll_box(width = "100%", height = "400px")