- Updated settings.local.json to include new read permissions for r_app directory.
- Adjusted the harvest readiness condition in 80_utils_cane_supply.R to lower the imminent probability threshold.
- Removed unused get_status_trigger function from 80_utils_common.R to streamline code.
- Added total area analyzed feature in 90_CI_report_with_kpis_agronomic_support.Rmd, including area calculations in summary tables.
- Updated translations_90.json to include new keys for total area analyzed and area label.
- Created create_field_checklist.R and create_field_checklist.py scripts to generate Excel checklists from GeoJSON data, sorting fields by area and splitting assignments among team members.
- Renamed translation function from `t` to `tr_key` for clarity and consistency.
- Updated all instances of translation calls in `90_CI_report_with_kpis_agronomic_support.Rmd` and `91_CI_report_with_kpis_cane_supply.Rmd` to use `tr_key`.
- Introduced a new helper function `get_area_unit_label` to manage area unit preferences across the project.
- Modified area calculations in `91_CI_report_with_kpis_cane_supply.Rmd` to utilize area from analysis data instead of recalculating.
- Added area unit preference setting in `parameters_project.R` to allow for flexible reporting in either hectares or acres.
- Updated `MANUAL_PIPELINE_RUNNER.R` to include language parameter for report generation.
- Adjusted translations in the `translations.xlsx` file to reflect changes in the report structure.
- Update trend categorization thresholds in KPI calculations for clarity.
- Improve comments for better understanding of trend interpretations.
- Refactor report generation to use consistent terminology for trends.
- Add batch pipeline runner for weekly reporting across multiple dates.
- Minor formatting adjustments across various scripts for consistency.
- Changed report date in CI report for cane supply to "2026-02-04".
- Updated output file naming convention for agronomic support report to reflect new report date.
- Enhanced map creation functions to allow customizable legend positions and improved layout settings.
- Adjusted widths for map arrangements to ensure better visual representation.
- Fixed minor issues in ggplot aesthetics for clearer legend positioning and improved readability.
- Corrected field size unit from hectares to acres in KPI summary generation.
- Consolidate 80_kpi_utils.R, 80_weekly_stats_utils.R, 80_report_building_utils.R into three client-aware files:
- 80_utils_common.R (50+ functions): Shared utilities, constants, and helpers
- 80_utils_agronomic_support.R: AURA-specific KPI calculations (6 KPIs)
- 80_utils_cane_supply.R: ANGATA placeholder for future expansion
- Move all internal helpers (calculate_cv, calculate_change_percentages, calculate_spatial_autocorrelation, extract_ci_values, etc.) to common
- Add MORAN_THRESHOLD_* constants to common
- Fix parameters_project.R field boundaries path (removed extra 'Data' directory)
- Update 80_calculate_kpis.R with conditional client-type sourcing logic
- Validate both ANGATA (cane_supply) and AURA (agronomic_support) workflows with comprehensive testing
- All 96+ functions accounted for; ready for production use
Timon
