Metadata-Version: 2.4
Name: geolapis-core
Version: 0.1.1
Summary: Fast LAS file sanity checks for petrophysicists
Home-page: https://www.geolapis.com
Author: NI Ezema / Geolapis Ltd
Author-email: contact@geolapis.com
Project-URL: Documentation, https://www.geolapis.com/docs
Project-URL: Source, https://github.com/GeolapisLtd/GeolapisCore
Project-URL: Issues, https://github.com/GeolapisLtd/GeolapisCore/issues
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: lasio>=0.27.0
Requires-Dist: rich>=13.0.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: project-url
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# GeolapisCore™

**A scalable suite of AI‑powered geoscience tools**

GeolapisCore™ provides a robust, extensible command‑line validator for LAS files, along with utilities for AI‑assisted analysis and monetization support.

---

## Table of Contents

- [Installation](#installation)
- [Quick Start](#quick-start)
- [CLI Validator](#cli-validator)
  - [Commands & Options](#commands--options)
- [Error Injector Utility](#error-injector-utility)
- [Testing](#testing)
- [Documentation](#documentation)
- [Development & Contribution](#development--contribution)
- [Packaging & Publishing](#packaging--publishing)
- [License](#license)

---

## Installation

Install the Community Edition from PyPI:

```bash
pip install geolapis-core
```

> Requires Python ≥ 3.7

---

## Quick Start

Validate any LAS file in seconds by providing its filesystem path.

```bash
# Generic usage
geolapis-core <path_to_your_las_file>

# Example with the bundled test data
geolapis-core test_data/spwla_examples/clean1.las
```

If the file is valid, you’ll see:

```
✅ Valid LAS file
```

Otherwise, a clear table of validation errors will appear.

---

## CLI Validator

The core validator offers five rule-based checks:

1. **Version Section**  
   - Fails if `VERS.` is missing under `~Version Information`.
2. **Gamma‑Ray (GR) Anomalies**  
   - Scans all data lines; flags values > 200 API (`GR exceeds 200 API: max=<value>` and `GR anomaly detected`).
3. **Curve Mnemonic & Unit**  
   - Ensures a `GR` curve exists under `~Curve Information`.  
   - Verifies its unit is exactly `GAPI`.
4. **NULL‑Value Consistency**  
   - Confirms `NULL.` value in `~Well Information` remains `-999.25`.
5. **Mnemonic Variations**  
   - Detects incorrect curve names like `GAMMA` instead of `GR`.

### Commands & Options

```bash
Usage: geolapis-core <path_to_las_file>
```  
No additional flags currently; runs all validations by default.

---

## Error Injector Utility

Generate realistic, reproducible LAS errors for testing and demos.  
**Location:** `tools/error_injector.py`  

### Usage

```python
from tools.error_injector import corrupt_las, ErrorType

# Random 2–4 errors:
corrupt_las("clean.las", "dirty.las")

# Force specific errors:
corrupt_las("clean.las", "dirty.las", [
    ErrorType.HEADER_VERSION,
    ErrorType.CURVE_GR
])
```

Available `ErrorType` values:  
`HEADER_VERSION`, `HEADER_WRAP`, `HEADER_NULL`, `CURVE_GR`, `CURVE_RHOB`, `DEPTH_INTERVAL`, `UNIT_MISMATCH`, `MNEMONIC`.

---

## Testing

A `unittest` suite validates all five CLI rules.  
**Location:** `tests/test_validator.py`

Run:

```bash
pytest -q
```

---

## Documentation

Full docs, usage guide, and API reference are available at:  
[https://www.geolapis.com/docs](https://www.geolapis.com/docs)

---

## Development & Contribution

1. Fork the repo: `https://github.com/GeolapisLtd/GeolapisCore`
2. Create a feature branch: `git checkout -b feat/your-feature`
3. Run tests: `pytest -q`
4. Submit a pull request.

Please follow the coding style and add tests for new features.

---

## Packaging & Publishing

1. Update version in `setup.py` and `README.md`.
2. Build distributions:
   ```bash
   python -m build
   ```
3. Upload to PyPI:
   ```bash
   twine upload dist/*
   ```

---

## License

This project is licensed under the [MIT License](LICENSE).  
© 2025 NI Ezema / Geolapis Ltd
