https://github.com/core-stack-org/core-stack-backend
CoRE Stack Backend written in Django which computes layers, CRUD operations, build resources and demands.
https://github.com/core-stack-org/core-stack-backend
django django-rest-framework geoserver geospatial-data googleearthengine python3
Last synced: about 2 months ago
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CoRE Stack Backend written in Django which computes layers, CRUD operations, build resources and demands.
- Host: GitHub
- URL: https://github.com/core-stack-org/core-stack-backend
- Owner: core-stack-org
- License: agpl-3.0
- Created: 2025-02-25T05:46:07.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-30T19:45:08.000Z (about 2 months ago)
- Last Synced: 2026-04-30T20:35:36.163Z (about 2 months ago)
- Topics: django, django-rest-framework, geoserver, geospatial-data, googleearthengine, python3
- Language: Python
- Homepage:
- Size: 19.2 MB
- Stars: 12
- Watchers: 2
- Forks: 19
- Open Issues: 39
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## CoRE Stack Backend
### Installation
We provide a single installation script that handles everything (**on a linux environment, if you are using Windows, you may need to install ```wsl``` first**).
- Installs **Miniconda** and sets up the Python environment
- Installs & configures **PostgreSQL**
- Installs & configures **Apache with mod_wsgi**
- Clones the backend repo and applies Django **migrations**
- Collects **static files**
- Sets up **logs** and **Apache config**
#### Requirements
Before starting, make sure you have the following installed on your system:
- A **Linux-based operating system** (Ubuntu 20.04+ recommended)
- **Git** (to clone the repository)
- **Bash** (usually preinstalled on Linux)
The installation script will handle the rest (Conda, PostgreSQL, Apache, etc.).
#### 1. Clone the repository
```bash
git clone https://github.com/core-stack-org/core-stack-backend.git
cd core-stack-backend/installation
```
#### 2. Run the installation script
```bash
chmod +x install.sh
./install.sh
```
> The script will automatically install Conda, PostgreSQL, Apache, set up the `corestack-backend` environment, run
> migrations, and configure Apache.
> For any installation issues, check [Installation Documentation](./installation/INSTALLATION.md) and [Troubleshooting Guide](./installation/TROUBLESHOOTING.md).
#### 3. Running the server
After the successfull installation of all the packages, run the following commands to start the Django server:
```bash
conda activate corestack-backend (or whatever is the name of your virtual environment)
python manage.py runserver
```
- **Running celery:**
If you are running some tasks, you need to run
```bash
celery -A nrm_app worker -l info -Q nrm
```
where 'nrm_app' is the app_name and 'nrm' is the rabbitmq queue.
#### 4. Open in Browser
- API Docs: [http://localhost](http://localhost)
- Django Admin: [http://localhost/admin/](http://localhost/admin/)
---
### Script path
| | Theme | Variable | Script path |
|----|--------------------------|---------------------------------|-----------------------------------------------------------------------|
| 1 | Hydrology | Microwatersheds | /computing/mws/mws.py |
| 2 | Hydrology | Precipitation | /computing/mws/precipitation.py |
| 3 | Hydrology | Runoff | /computing/mws/run_off.py |
| 4 | Hydrology | Evapotranspiration | /computing/mws/evapotranspiration.py |
| 5 | Hydrology | Change in groundwater | /computing/mws/delta_g.py |
| 6 | Hydrology | Change in well depth | /computing/mws/well_depth.py |
| 7 | Hydrology | Aquifers | /computing/misc/aquifer_vector.py |
| 8 | Hydrology | Stage of Groundwater Extraction | /computing/misc/soge_vector.py |
| 9 | Climate | Drought frequency and intensity | /computing/drought/drought.py |
| 10 | Climate | Drought causality | /computing/drought/drought_causality.py |
| 11 | Terrain | Terrain classification | /computing/terrain_descriptor/terrain_raster.py |
| 12 | Terrain | Terrain cluster | /computing/terrain_descriptor/terrain_clusters.py |
| 13 | Land use | Land use land cover | /computing/lulc/lulc_v3.py |
| 14 | Land use | Land use on terrain | Land use on Plain: /computing/lulc_X_terrain/lulc_on_plain_cluster.py |
| | Land use | Land use on terrain | Land use on Slope: /computing/lulc_X_terrain/lulc_on_slope_cluster.py |
| 15 | Land use | Land use changes | /computing/change_detection/change_detection.py |
| 16 | Land use | Cropping intensity | /computing/cropping_intensity/cropping_intensity.py |
| 17 | Land use | Water bodies | /computing/surface_water_bodies/swb.py |
| 18 | Land use | First census of water bodies | /computing/surface_water_bodies/swb3.py' |
| 19 | Tree health | Tree canopy cover density | /computing/tree_health/ccd.py |
| 20 | Tree health | Tree canopy height | /computing/tree_health/canopy_height.py |
| 21 | Tree health | Tree cover change | /computing/tree_health/overall_change.py |
| 22 | Welfare | NREGA assets categorization | /computing/misc/nrega.py |
| 23 | Administrative | State | /computing/misc/admin_boundary.py |
| 24 | Administrative | District | /computing/misc/admin_boundary.py |
| 25 | Administrative | Block/Tehsil | /computing/misc/admin_boundary.py |
| 26 | Administrative | Village | /computing/misc/admin_boundary.py |
| 27 | Water structure planning | Lithology | /computing/clart/lithology.py |
| 28 | Water structure planning | Drainage lines | /computing/misc/drainage_lines.py |
| 29 | Water structure planning | Stream order raster | /computing/misc/stream_order.py |
| 30 | Water structure planning | CLART | /computing/clart/clart.py | |
### Integrating custom pipelines on CoREStack
We have prepared
a [detailed guide](https://docs.google.com/document/d/1lfx2hJKndmzVp55ZHIIFYqRTz-8fZCWc9QikUDQpTN0/edit?usp=sharing) on
how to integrate custom pipelines on the CoREStack backend.
### Further references
- [DB Design](https://github.com/core-stack-org/core-stack-backend/wiki/DB-Design)
- [API Doc](https://api-doc.core-stack.org/)