Timon
4cd62ab82e
- Updated `create_CI_map` and `create_CI_diff_map` functions to enforce a 1:1 aspect ratio for consistent map sizing. - Modified `ci_plot` function to adjust widths of arranged maps for better layout. - Changed raster merging method in `aggregate_per_field_mosaics_to_farm_level` from `mosaic` to `merge` for improved handling of field data. - Introduced `test_kpi_validation.R` script to validate the structure of KPI RDS files, ensuring expected KPIs are present. - Added `test_overview_maps_aggregation.R` script to test the aggregation pipeline for overview maps, including loading field mosaics, creating a farm-level mosaic, and generating visualizations.
286 lines
11 KiB
R
286 lines
11 KiB
R
# ==============================================================================
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# 10_CREATE_PER_FIELD_TIFFS_UTILS.R
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# ==============================================================================
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# UTILITY FUNCTIONS FOR SCRIPT 10: Per-Field TIFF Creation
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#
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# PURPOSE:
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# Extracted helper functions specific to Script 10 (per-field TIFF splitting).
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# These functions are domain-specific (not generic) and handle raster cropping
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# and batch processing of satellite imagery for per-field storage.
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#
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# FUNCTIONS:
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# 1. crop_tiff_to_fields() — Crop a single TIFF to field boundaries
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# 2. process_new_merged_tif() — Batch process all new merged TIFFs into per-field structure
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#
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# DEPENDENCIES:
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# - terra (raster operations)
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# - sf (geometry operations)
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# - 00_common_utils.R (logging via safe_log())
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#
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# USAGE:
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# source(here::here("r_app", "10_create_per_field_tiffs_utils.R"))
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#
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# ==============================================================================
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library(terra)
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library(sf)
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# ==============================================================================
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#' Crop Single TIFF to Field Boundaries
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#'
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#' Loads a single satellite TIFF, finds overlapping field boundaries, and writes
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#' cropped per-field versions to output directory. Handles CRS reprojection and
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#' idempotent file creation (skips existing files).
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#'
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#' @param tif_path Character. Absolute path to source TIFF file (4-band or 5-band).
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#' @param tif_date Character. Date string (YYYY-MM-DD) for naming output files.
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#' @param fields sf object. GeoDataFrame of field boundaries with 'field_name' column.
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#' @param output_base_dir Character. Base directory where per-field TIFFs are stored
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#' (e.g., "field_tiles" or "field_tiles_CI").
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#'
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#' @return List with elements:
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#' - created: Integer. Number of field TIFFs created
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#' - skipped: Integer. Number of files that already existed
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#' - errors: Integer. Number of fields that failed to crop
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#'
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#' @details
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#' **Output Structure:**
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#' Creates files at: {output_base_dir}/{field_name}/{tif_date}.tif
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#'
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#' **CRS Handling:**
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#' Automatically reprojects field boundaries to match raster CRS before cropping.
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#'
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#' **Idempotency:**
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#' If output file already exists, skips writing (counted as "skipped").
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#' Safe to re-run without duplicate file creation.
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#'
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#' @examples
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#' \dontrun{
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#' fields <- load_field_boundaries("path/to/pivot.geojson")
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#' result <- crop_tiff_to_fields(
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#' tif_path = "merged_tif/2024-01-15.tif",
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#' tif_date = "2024-01-15",
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#' fields = fields,
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#' output_base_dir = "field_tiles"
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#' )
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#' cat(sprintf("Created: %d, Skipped: %d, Errors: %d\n",
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#' result$created, result$skipped, result$errors))
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#' }
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#'
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crop_tiff_to_fields <- function(tif_path, tif_date, fields, output_base_dir) {
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created <- 0
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skipped <- 0
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errors <- 0
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# Load raster
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if (!file.exists(tif_path)) {
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safe_log(paste("ERROR: TIFF not found:", tif_path), "ERROR")
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return(list(created = 0, skipped = 0, errors = 1))
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}
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rast <- tryCatch({
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rast(tif_path)
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}, error = function(e) {
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safe_log(paste("ERROR loading raster:", e$message), "ERROR")
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return(NULL)
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})
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if (is.null(rast)) {
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return(list(created = 0, skipped = 0, errors = 1))
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}
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# Create raster bounding box in raster CRS
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rast_bbox <- st_as_sfc(st_bbox(rast))
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st_crs(rast_bbox) <- st_crs(rast)
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# Reproject fields to match raster CRS
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fields_reprojected <- st_transform(fields, st_crs(rast_bbox))
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# Find which fields intersect this raster (CRITICAL: raster bbox first, then fields)
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overlapping_indices <- st_intersects(rast_bbox, fields_reprojected, sparse = TRUE)
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overlapping_indices <- unique(unlist(overlapping_indices))
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if (length(overlapping_indices) == 0) {
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safe_log(paste("No fields intersect TIFF:", basename(tif_path)), "INFO")
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return(list(created = 0, skipped = 0, errors = 0))
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}
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# Process each overlapping field
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for (field_idx in overlapping_indices) {
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field_name <- fields$field[field_idx]
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field_geom <- fields_reprojected[field_idx, ]
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# Create field directory
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field_dir <- file.path(output_base_dir, field_name)
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if (!dir.exists(field_dir)) {
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dir.create(field_dir, recursive = TRUE, showWarnings = FALSE)
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}
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# Output file path
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output_path <- file.path(field_dir, paste0(tif_date, ".tif"))
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# Check if file already exists (idempotent)
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if (file.exists(output_path)) {
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skipped <- skipped + 1
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next
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}
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# Crop raster to field boundary
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tryCatch({
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field_rast <- crop(rast, field_geom)
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writeRaster(field_rast, output_path, overwrite = TRUE)
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created <- created + 1
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}, error = function(e) {
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safe_log(paste("ERROR cropping field", field_name, ":", e$message), "ERROR")
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errors <<- errors + 1
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})
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}
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return(list(created = created, skipped = skipped, errors = errors))
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}
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# ==============================================================================
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#' Process New Merged TIFFs into Per-Field Structure
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#'
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#' Batch processes all new 4-band raw satellite TIFFs from merged_tif/ directory.
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#' Crops each TIFF to field boundaries and stores results in per-field subdirectories.
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#' Supports migration mode: skips dates already processed and migrated to field_tiles_CI/.
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#'
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#' @param merged_tif_dir Character. Source directory containing raw merged TIFFs
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#' (e.g., "merged_tif/").
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#' @param field_tiles_dir Character. Target directory for per-field TIFFs
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#' (e.g., "field_tiles/").
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#' @param fields sf object. GeoDataFrame of field boundaries with 'field_name' column.
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#' @param field_tiles_ci_dir Character. Optional. DEPRECATED - no longer used.
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#' Kept for backward compatibility but ignored.
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#' Script 10 now only checks its own output
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#' directory (field_tiles/).
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#' @param end_date Date. Optional. End date for processing window (YYYY-MM-DD).
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#' Default: NULL (process all available dates).
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#' @param offset Integer. Optional. Number of days to look back from end_date.
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#' Only used if end_date is also provided.
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#' Default: NULL (process all available dates).
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#'
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#' @return List with elements:
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#' - total_created: Integer. Total field TIFFs created across all dates
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#' - total_skipped: Integer. Total files that already existed
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#' - total_errors: Integer. Total cropping errors across all dates
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#'
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#' @details
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#' **Migration Logic:**
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#' When migration phase is active (field_tiles_CI/ contains CI-calculated TIFFs),
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#' this function detects which dates have been migrated and skips reprocessing them.
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#' This prevents redundant work during the per-field architecture transition.
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#'
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#' **Date Detection:**
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#' Finds all files in merged_tif_dir matching pattern: YYYY-MM-DD.tif
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#'
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#' **Output Structure:**
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#' Creates per-field subdirectories and stores: field_tiles/{FIELD}/{DATE}.tif
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#'
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#' @examples
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#' \dontrun{
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#' fields <- load_field_boundaries("path/to/pivot.geojson")
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#' result <- process_new_merged_tif(
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#' merged_tif_dir = "merged_tif",
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#' field_tiles_dir = "field_tiles",
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#' fields = fields,
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#' field_tiles_ci_dir = "field_tiles_CI"
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#' )
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#' cat(sprintf("Processing complete: created=%d, skipped=%d, errors=%d\n",
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#' result$total_created, result$total_skipped, result$total_errors))
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#' }
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#'
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process_new_merged_tif <- function(merged_tif_dir, field_tiles_dir, fields, field_tiles_ci_dir = NULL,
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end_date = NULL, offset = NULL) {
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safe_log("\n========================================", "INFO")
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safe_log("PHASE 2: PROCESSING NEW DOWNLOADS", "INFO")
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safe_log("========================================", "INFO")
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# Check if download directory exists
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if (!dir.exists(merged_tif_dir)) {
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safe_log("No merged_tif/ directory found - no new data to process", "WARNING")
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return(list(total_created = 0, total_skipped = 0, total_errors = 0))
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}
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# Create output directory
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if (!dir.exists(field_tiles_dir)) {
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dir.create(field_tiles_dir, recursive = TRUE, showWarnings = FALSE)
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}
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# Find all date-pattern TIFFs in root of merged_tif
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tiff_files <- list.files(
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merged_tif_dir,
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pattern = "^[0-9]{4}-[0-9]{2}-[0-9]{2}\\.tif$",
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full.names = TRUE
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)
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# FILTER by date window if end_date and offset provided
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if (!is.null(end_date) && !is.null(offset)) {
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start_date <- end_date - offset
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date_range <- seq(start_date, end_date, by = "day")
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date_range_str <- format(date_range, "%Y-%m-%d")
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# Extract dates from filenames and filter
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tiff_dates <- gsub("\\.tif$", "", basename(tiff_files))
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tiff_files <- tiff_files[tiff_dates %in% date_range_str]
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safe_log(sprintf("Date window filter applied: %s to %s (%d dates)", start_date, end_date, length(date_range_str)), "INFO")
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}
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safe_log(paste("Found", length(tiff_files), "TIFF(s) to process"), "INFO")
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if (length(tiff_files) == 0) {
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safe_log("No new TIFFs found - nothing to process", "WARNING")
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return(list(total_created = 0, total_skipped = 0, total_errors = 0))
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}
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# Process each new TIFF
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total_created <- 0
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total_skipped <- 0
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total_errors <- 0
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for (tif_path in tiff_files) {
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tif_date <- gsub("\\.tif$", "", basename(tif_path))
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# SKIP CHECK: Only check Script 10's own output directory (field_tiles/)
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# Do NOT check field_tiles_CI/ — that's Script 20's responsibility.
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# Script 10 and Script 20 are independent; Script 10 should not depend on
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# Script 20's success/failure. If field_tiles/ is missing, reprocess it.
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if (dir.exists(field_tiles_dir)) {
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date_exists_in_field_tiles <- FALSE
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# Check if ANY field directory has this date
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field_dirs <- list.dirs(field_tiles_dir, full.names = TRUE, recursive = FALSE)
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for (field_dir in field_dirs) {
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potential_file <- file.path(field_dir, paste0(tif_date, ".tif"))
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if (file.exists(potential_file)) {
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date_exists_in_field_tiles <- TRUE
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break
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}
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}
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if (date_exists_in_field_tiles) {
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safe_log(paste("Skipping:", tif_date, "(already exists in field_tiles/)"), "INFO")
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total_skipped <- total_skipped + 1
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next
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}
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}
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safe_log(paste("Processing:", tif_date), "INFO")
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result <- crop_tiff_to_fields(tif_path, tif_date, fields, field_tiles_dir)
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total_created <- total_created + result$created
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total_skipped <- total_skipped + result$skipped
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total_errors <- total_errors + result$errors
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}
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safe_log(paste("Processing complete: created =", total_created,
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", skipped =", total_skipped, ", errors =", total_errors), "INFO")
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return(list(total_created = total_created, total_skipped = total_skipped,
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total_errors = total_errors))
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}
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