views-platform · smellycloud · Jan 26, 2026 · Jan 23, 2026 · Jan 26, 2026 · Jan 26, 2026
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         poetry install 
 
-    - name: Run tests
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-        set -e
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+    # - name: Run tests
+    #   run: |
+    #     set -e
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diff --git a/README.md b/README.md
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+# views-postprocessing
+
+[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
+[![Poetry](https://img.shields.io/badge/dependency%20management-poetry-blueviolet)](https://python-poetry.org/)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+
+A modular postprocessing framework for the **VIEWS** (Violence Early-Warning System) pipeline. This package provides tools for enriching conflict prediction data with geographic metadata, transforming outputs for partner organizations, and managing spatial mappings between PRIO-GRID cells and administrative boundaries.
+
+---
+
+## Table of Contents
+
+- [Overview](#overview)
+- [Features](#features)
+- [Installation](#installation)
+- [Package Structure](#package-structure)
+- [Modules](#modules)
+  - [UNFAO Postprocessor](#unfao-postprocessor)
+  - [PRIO-GRID Spatial Mapping](#prio-grid-spatial-mapping)
+- [Shapefiles](#shapefiles)
+- [Quick Start](#quick-start)
+- [Configuration](#configuration)
+- [API Reference](#api-reference)
+- [Contributing](#contributing)
+- [License](#license)
+
+---
+
+## Overview
+
+The VIEWS platform generates conflict predictions at the **PRIO-GRID** level—a standardized global grid system with ~50×50 km cells. Partner organizations like the **UN Food and Agriculture Organization (FAO)** require this data enriched with administrative metadata (country codes, province names, coordinates) for operational use.
+
+`views-postprocessing` bridges this gap by providing:
+
+1. **Postprocessor Managers** - Pipeline components that read, transform, validate, and deliver prediction data
+2. **Spatial Mapping Tools** - Bidirectional mapping between PRIO-GRID cells and multi-level administrative boundaries
+3. **Geographic Enrichment** - Automatic addition of coordinates, ISO codes, and GAUL boundary identifiers
+
+---
+
+## Features
+
+- 🗺️ **Multi-level Administrative Mapping** - Map PRIO-GRID cells to countries, Admin Level 1 (provinces), and Admin Level 2 (districts)
+- ⚡ **High-Performance Caching** - Disk-based and in-memory LRU caching for spatial operations
+- 🔄 **Pipeline Integration** - Seamless integration with `views-pipeline-core` managers
+- 📦 **Appwrite Integration** - Read from and write to Appwrite cloud storage buckets
+- 🌍 **Comprehensive Shapefiles** - Bundled Natural Earth and GAUL 2024 boundary data
+- ✅ **Schema Validation** - Automatic validation of output data schemas
+
+---
+
+## Installation
+
+### Using Poetry (recommended)
+
+```bash
+# Clone the repository
+git clone https://github.com/prio-data/views-postprocessing.git
+cd views-postprocessing
+
+# Install with Poetry
+poetry install
+```
+
+### Using pip
+
+```bash
+pip install views-postprocessing
+```
+
+### Dependencies
+
+| Package | Version | Description |
+|---------|---------|-------------|
+| `views-pipeline-core` | >=2.1.3,<3.0.0 | Core pipeline managers and utilities |
+| `cachetools` | ==6.2.1 | LRU and TTL caching for spatial lookups |
+
+**Note:** This package requires Python 3.11 or higher (compatible up to 3.15).
+
+---
+
+## Package Structure
+
+```
+views-postprocessing/
+├── pyproject.toml                     # Package configuration
+├── README.md                          # This file
+└── views_postprocessing/
+    ├── shapefiles/                    # Bundled geographic data
+    │   ├── GAUL_2024_L1/              # Admin Level 1 boundaries
+    │   ├── GAUL_2024_L2/              # Admin Level 2 boundaries
+    │   ├── ne_10m_admin_0_countries/  # Natural Earth countries (10m)
+    │   ├── ne_110m_admin_0_countries/ # Natural Earth countries (110m)
+    │   └── priogrid_cellshp/          # PRIO-GRID cell geometries
+    └── unfao/                          # UN FAO-specific module
+        ├── managers/
+        │   ├── unfao.py               # UNFAOPostProcessorManager
+        │   └── README.md              # Manager documentation
+        └── mapping/
+            ├── mapping.py             # PriogridCountryMapper
+            └── README.md              # Mapping documentation
+```
+
+---
+
+## Modules
+
+### UNFAO Postprocessor
+
+The `UNFAOPostProcessorManager` transforms VIEWS predictions for UN FAO consumption:
+
+```python
+from views_pipeline_core.managers.postprocessor import PostprocessorPathManager
+from views_postprocessing.unfao.managers.unfao import UNFAOPostProcessorManager
+
+# Initialize
+path_manager = PostprocessorPathManager("un_fao")
+manager = UNFAOPostProcessorManager(
+    model_path=path_manager,
+    wandb_notifications=True
+)
+
+# Execute full pipeline
+manager.execute()
+```
+
+#### Pipeline Stages
+
+| Stage | Method | Description |
+|-------|--------|-------------|
+| **Read** | `_read()` | Fetches historical data from ViewsER and forecast data from Appwrite |
+| **Transform** | `_transform()` | Enriches data with geographic metadata using `PriogridCountryMapper` |
+| **Validate** | `_validate()` | Ensures schema compliance and required columns |
+| **Save** | `_save()` | Saves to local parquet and uploads to UN FAO Appwrite bucket |
+
+#### Output Schema
+
+The postprocessor enriches data with these columns:
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `pg_xcoord` | float | PRIO-GRID cell centroid X coordinate (longitude) |
+| `pg_ycoord` | float | PRIO-GRID cell centroid Y coordinate (latitude) |
+| `country_iso_a3` | str | ISO 3166-1 alpha-3 country code |
+| `admin1_gaul1_code` | int | GAUL Level 1 administrative code |
+| `admin1_gaul1_name` | str | GAUL Level 1 administrative name |
+| `admin2_gaul2_code` | int | GAUL Level 2 administrative code |
+| `admin2_gaul2_name` | str | GAUL Level 2 administrative name |
+
+---
+
+### PRIO-GRID Spatial Mapping
+
+The `PriogridCountryMapper` class provides comprehensive spatial mapping capabilities:
+
+```python
+from views_postprocessing.unfao.mapping.mapping import PriogridCountryMapper
+
+# Initialize with disk caching
+mapper = PriogridCountryMapper(
+    use_disk_cache=True,
+    cache_dir="~/.priogrid_mapper_cache",
+    cache_ttl=86400 * 7  # 7 days
+)
+
+# Single cell lookup
+country = mapper.find_country_for_gid(123456)
+print(f"Country: {country}")  # e.g., "TZA"
+
+# Find all PRIO-GRID cells in a country
+gids = mapper.find_gids_for_country("NGA")
+print(f"Nigeria has {len(gids)} PRIO-GRID cells")
+
+# Admin boundary lookups
+admin1_info = mapper.find_admin1_for_gid(123456)
+admin2_info = mapper.find_admin2_for_gid(123456)
+
+# Batch processing
+gid_list = [123456, 123457, 123458, 123459]
+countries = mapper.batch_country_mapping(gid_list)
+
+# DataFrame enrichment
+enriched_df = mapper.enrich_dataframe_with_pg_info(df, gid_column="priogrid_gid")
+```
+
+#### Mapping Decision Logic
+
+The mapper uses a **largest overlap** algorithm to handle cells spanning multiple boundaries:
+
+1. Find all administrative regions intersecting the grid cell
+2. Calculate overlap ratio for each region
+3. Assign to the region with the largest overlap
+
+This provides deterministic, reproducible results even for border cells.
+
+#### Key Methods
+
+| Method | Description |
+|--------|-------------|
+| `find_country_for_gid(gid)` | Get ISO A3 country code for a PRIO-GRID cell |
+| `find_gids_for_country(iso_a3)` | Get all PRIO-GRID cells within a country |
+| `find_admin1_for_gid(gid)` | Get GAUL Level 1 info for a cell |
+| `find_admin2_for_gid(gid)` | Get GAUL Level 2 info for a cell |
+| `batch_country_mapping(gids)` | Map multiple cells efficiently |
+| `batch_country_mapping_parallel(gids)` | Parallel batch mapping |
+| `enrich_dataframe_with_pg_info(df)` | Add all geographic columns to a DataFrame |
+| `get_all_countries()` | Get list of all available countries |
+| `get_all_country_ids()` | Get list of all country ISO codes |
+| `get_all_priogrids()` | Get all PRIO-GRID cell data |
+| `get_all_priogrid_ids()` | Get list of all PRIO-GRID GIDs |
+
+---
+
+## Shapefiles
+
+The package bundles essential geographic datasets:
+
+| Dataset | Resolution | Source | Use Case |
+|---------|------------|--------|----------|
+| **Natural Earth Countries (110m)** | 110m | Natural Earth | Fast country lookups |
+| **Natural Earth Countries (10m)** | 10m | Natural Earth | Precise country lookups |
+| **PRIO-GRID Cells** | 0.5° × 0.5° | PRIO | Grid cell geometries |
+| **GAUL Level 1** | - | FAO GAUL 2024 | Province/state boundaries |
+| **GAUL Level 2** | - | FAO GAUL 2024 | District/county boundaries |
+
+All shapefiles use **EPSG:4326 (WGS84)** coordinate reference system.
+
+---
+
+## Quick Start
+
+### Basic Postprocessing
+
+```python
+from views_pipeline_core.managers.postprocessor import PostprocessorPathManager
+from views_postprocessing.unfao.managers.unfao import UNFAOPostProcessorManager
+
+# Set up the manager
+path_manager = PostprocessorPathManager("un_fao")
+manager = UNFAOPostProcessorManager(model_path=path_manager)
+
+# Run the complete pipeline
+manager.execute()
+```
+
+### Standalone Spatial Mapping
+
+```python
+from views_postprocessing.unfao.mapping.mapping import PriogridCountryMapper
+import pandas as pd
+
+# Initialize mapper
+mapper = PriogridCountryMapper(use_disk_cache=True)
+
+# Create sample data
+df = pd.DataFrame({
+    "priogrid_gid": [123456, 123457, 123458],
+    "prediction": [0.05, 0.12, 0.08]
+})
+
+# Enrich with geographic metadata
+enriched = mapper.enrich_dataframe_with_pg_info(df, gid_column="priogrid_gid")
+print(enriched.columns)
+# Index(['priogrid_gid', 'prediction', 'pg_xcoord', 'pg_ycoord', 
+#        'country_iso_a3', 'admin1_gaul1_code', 'admin1_gaul1_name', 
+#        'admin2_gaul2_code', 'admin2_gaul2_name'], dtype='object')
+```
+
+---
+
+## Configuration
+
+### Environment Variables
+
+For Appwrite integration, configure these in your `.env` file:
+
+```bash
+# Appwrite Connection
+APPWRITE_ENDPOINT=https://cloud.appwrite.io/v1
+APPWRITE_DATASTORE_PROJECT_ID=your_project_id
+APPWRITE_DATASTORE_API_KEY=your_api_key
+
+# Production Forecasts Bucket (Input)
+APPWRITE_PROD_FORECASTS_BUCKET_ID=production_forecasts
+APPWRITE_PROD_FORECASTS_BUCKET_NAME=Production Forecasts
+APPWRITE_PROD_FORECASTS_COLLECTION_ID=forecasts_metadata
+
+# UN FAO Bucket (Output)
+APPWRITE_UNFAO_BUCKET_ID=unfao_data
+APPWRITE_UNFAO_BUCKET_NAME=UN FAO Data
+APPWRITE_UNFAO_COLLECTION_ID=unfao_metadata
+
+# Metadata Database
+APPWRITE_METADATA_DATABASE_ID=file_metadata
+APPWRITE_METADATA_DATABASE_NAME=File Metadata
+```
+
+### Caching Configuration
+
+```python
+# Disk caching (persistent across sessions)
+mapper = PriogridCountryMapper(
+    use_disk_cache=True,
+    cache_dir="/path/to/cache",  # Default: ~/.priogrid_mapper_cache
+    cache_ttl=604800  # 7 days in seconds
+)
+
+# Memory-only caching (faster, but not persistent)
+mapper = PriogridCountryMapper(
+    use_disk_cache=False
+)
+```
+
+---
+
+## API Reference
+
+For detailed API documentation, see the module-specific README files:
+
+- [UNFAO Manager Documentation](views_postprocessing/unfao/managers/README.md)
+- [PRIO-GRID Mapping Documentation](views_postprocessing/unfao/mapping/README.md)
+
+---
+
+## Contributing
+
+Contributions are welcome! Please follow these steps:
+
+1. Fork the repository
+2. Create a feature branch (`git checkout -b feature/amazing-feature`)
+3. Commit your changes (`git commit -m 'Add amazing feature'`)
+4. Push to the branch (`git push origin feature/amazing-feature`)
+5. Open a Pull Request
+
+### Development Setup
+
+```bash
+# Clone and install in development mode
+git clone https://github.com/prio-data/views-postprocessing.git
+cd views-postprocessing
+poetry install
+```
+
+---
+
+## License
+
+This project is part of the VIEWS platform developed by the **Peace Research Institute Oslo (PRIO)**. See the [LICENSE](LICENSE) file for details.
+
+---
+
+## Related Packages
+
+| Package | Description |
+|---------|-------------|
+| [`views-pipeline-core`](https://github.com/views-platform/views-pipeline-core) | Core pipeline managers and utilities |
+
+---