- 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.
- Implemented `weather_api_comparison.py` to compare daily precipitation from multiple weather APIs for Arnhem, Netherlands and Angata, Kenya.
- Integrated fetching functions for various weather data sources including Open-Meteo, NASA POWER, OpenWeatherMap, and WeatherAPI.com.
- Added plotting functions to visualize archive and forecast data, including cumulative precipitation and comparison against ERA5 reference.
- Created `90_rainfall_utils.R` for R to fetch rainfall data and overlay it on CI plots, supporting multiple providers with a generic fetch wrapper.
- Included spatial helpers for efficient API calls based on unique geographical tiles.
- 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.
Timon
DimitraVeropoulou