IATI Data Quality API

A comprehensive Flask-based API for assessing IATI (International Aid Transparency Initiative) data quality across programmes and projects. This API validates IATI activities against defined quality standards including attribute completeness, sector/location percentages, and document publication requirements.

Features

• Activity Validation: Validates H1 (programmes) and H2 (projects) activities against multiple criteria
• Attribute Checks: Title, description, dates, sectors, locations, and participating organizations
• Document Publication: Validates Business Case, Logical Framework, and Annual Review publications
• Segmentation: Filter by countries, regions, and sectors
• Redis Caching: 24-hour cache with daily refresh
• Docker Compose: Easy deployment with Redis and Flask API
• Comprehensive Tests: Full pytest suite with edge case coverage

Architecture

See DIAGRAMS.md for system architecture, request pipeline, Solr query construction, validation flow, data models, and cache strategy.

Requirements

• Python 3.11+
• UV (package manager)
• Docker and Docker Compose
• Solr instance with IATI data

Quick Start

1. Clone and Setup

git clone <repository-url>
cd iati-dqa-api

2. Configure Environment

cp .env.example .env
# Edit .env with your Solr URL and other settings

3. Run with Docker Compose

docker-compose up -d

The API will be available at http://localhost:5000

4. Local Development

# Install dependencies with UV
uv pip install -e ".[dev]"

# Run Redis
docker-compose up redis -d

# Run Flask app
python -m flask --app app.main:app run --debug

API Endpoints

Health Check

GET /dqa/health

Response:

{
  "status": "healthy",
  "redis": "connected",
  "timestamp": "2024-02-12T10:30:00"
}

Data Quality Assessment

POST /dqa
Content-Type: application/json

{
  "organisation": "GB-GOV-1",
  "segmentation": {
    "countries": ["AF", "BD"],
    "regions": ["298"],
    "sectors": ["151", "15170"]
  },
  "require_funding_and_accountable": false,
  "include_exemptions": true
}

Response:

{
  "summary": {
    "organisation": "GB-GOV-1",
    "total_programmes": 45,
    "total_projects": 230,
    "total_budget": 125000000.0,
    "financial_year": "2024-2025"
  },
  "failed_activities": [
    {
      "iati_identifier": "GB-GOV-1-12345",
      "hierarchy": 1,
      "title": "Programme Title",
      "activity_status": "2",
      "attributes": [
        {
          "attribute": "title",
          "status": "fail",
          "message": "Title is too short (45 characters, minimum 60 required)",
          "details": {"length": 45}
        }
      ],
      "documents": [],
      "overall_status": "fail",
      "failure_count": 1
    }
  ],
  "pass_count": 270,
  "fail_count": 5,
  "not_applicable_count": 150,
  "generated_at": "2024-02-12T10:30:00",
  "percentages": {
    "title_percentage": 45
  }
}

Clear Cache

POST /dqa/cache/clear?pattern=dqa:*

Response:

{
  "cleared": 42,
  "pattern": "dqa:*"
}

Config Lists

The data/ directory holds JSON arrays used by the validator (default dates, document exemptions, etc.). These endpoints let you inspect and edit them at runtime without restarting the service.

List available configs

GET /dqa/config

{ "configs": ["default_dates", "document_validation_exemptions", "non_acronyms"] }

Get all values in a config

GET /dqa/config/<config_name>

{ "config_name": "default_dates", "values": ["1900-01-01", "1970-01-01"] }

Edit a config — action is one of add, remove, or update:

PATCH /dqa/config/<config_name>
Content-Type: application/json

// Add a value
{ "action": "add", "value": "2000-01-01" }

// Remove a value
{ "action": "remove", "value": "1900-01-01" }

// Replace a value
{ "action": "update", "old_value": "1900-01-01", "new_value": "1901-06-01" }

Returns the full updated list on success. Error responses: 400 (bad request), 404 (config or value not found), 409 (value already exists).

Note: Changes to default_dates are applied to the running process immediately. All other edits are persisted to disk and picked up on the next request that reads the file.

Validation Rules

See VALIDATOR_RULES.md for the full per-attribute and per-document validation logic, including conditions, statuses, messages, and percentage calculations.

Testing

pytest           # run all tests with coverage
pytest -v        # verbose output

See DEVELOPMENT.md for more test commands and guidance.

Configuration

Environment Variables

Variable	Description	Default
SOLR_URL	Solr instance URL	http://localhost:8983/solr/activity
REDIS_URL	Redis connection URL	redis://localhost:6379/0
CACHE_TTL	Cache TTL in seconds	86400 (24 hours)
SECRET_KEY	API authentication key (X-API-Key header)	ZIMMERMAN
DEFAULT_DATES	Comma-separated default dates	1900-01-01,1970-01-01
BUSINESS_CASE_EXEMPTION_MONTHS	Months before BC required	3
LOGICAL_FRAMEWORK_EXEMPTION_MONTHS	Months before LF required	3
ANNUAL_REVIEW_EXEMPTION_MONTHS	Months before AR required	19
SECTOR_TOLERANCE	Sector percentage tolerance	0.02
LOCATION_TOLERANCE	Location percentage tolerance	0.02

Project Structure

See DEVELOPMENT.md for the full annotated project structure.

Development

This project was co-developed with AI to accelerate feature delivery. All code has been manually reviewed and tested for quality.

See DEVELOPMENT.md for setup, formatting, linting, adding new validations, debugging, and more.

Deployment

Production Considerations

1. Monitoring: Implement logging and metrics
2. Scaling: Use Redis Cluster for high availability
3. Rate Limiting: Add rate limiting middleware
4. HTTPS: Deploy behind reverse proxy with SSL

Docker Production Build

docker build -t iati-dqa-api:latest .
docker-compose -f docker-compose.yml up -d

License

[Your License Here]

Contributing

1. Fork the repository
2. Create a feature branch
3. Add tests for new functionality
4. Ensure all tests pass
5. Submit a pull request

Support

For issues and questions:

• GitHub Issues: [repository-url]/issues