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Change","sub_category":"Climate Data Processing and Analysis","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# Welcome to the Chap modelling platform!\n\n[![CI](https://github.com/dhis2-chap/chap-core/actions/workflows/ci-test-python-install.yml/badge.svg)](https://github.com/dhis2-chap/chap-core/actions/workflows/ci-test-python-install.yml)\n[![PyPI version](https://img.shields.io/pypi/v/chap-core)](https://pypi.org/project/chap-core/)\n[![Python 3.13+](https://img.shields.io/badge/python-3.13+-blue.svg)](https://www.python.org/downloads/)\n[![License: AGPL v3](https://img.shields.io/badge/License-AGPL_v3-blue.svg)](https://www.gnu.org/licenses/agpl-3.0)\n[![Documentation](https://img.shields.io/badge/docs-mkdocs-blue.svg)](https://chap.dhis2.org/chap-modeling-platform/)\n\nThis is the main repository for the Chap modelling platform.\n\n[Read more about the Chap project here](https://chap.dhis2.org/about/)\n\n## Code documentation\n\nThe main documentation for the modelling platform is located at [https://chap.dhis2.org/chap-modeling-platform/](https://chap.dhis2.org/chap-modeling-platform/).\n\n## Development / contribution\n\nInformation about how to contribute to the Chap Modelling Platform: [https://chap.dhis2.org/chap-modeling-platform/contributor/](https://chap.dhis2.org/chap-modeling-platform/contributor/).\n\n## Issues/Bugs\n\nIf you find any bugs or issues when using this code base, we appreciate it if you file a bug report here: https://github.com/dhis2-chap/chap-core/issues/new\n\n## Launch development instance using Docker\n\n```shell\ncp .env.example .env\ndocker compose up\n```\n\n### Rebuilding after a source change\n\n`docker compose up` will reuse an existing `chap-core-chap` image if one is\nalready built — it does not automatically rebuild when you edit source. If\nyou see a stale `chap_core.__version__` or a fix that clearly didn't land\ninside the running container, use one of:\n\n```shell\nmake restart       # down \u0026\u0026 up -d --build (preserves volumes incl. chap-db)\nmake force-restart # down -v \u0026\u0026 build --no-cache \u0026\u0026 up (WIPES VOLUMES)\nmake chap-version  # print the chap_core version running inside the container\n```\n\n`make restart` is the right hammer 90% of the time. `make force-restart`\nalso wipes the Postgres volume, so reach for it only when you need a clean\nslate. `make chap-version` is also printed automatically at the end of\n`make restart` so version drift is visible at a glance.\n\n### Running with chapkit model overlays\n\nChapkit-based models ship as opt-in compose overlays. Layer one onto\n`compose.yml` (not `compose.ghcr.yml` — those two are alternatives, not\nstackable) to run chap-core with the chapkit services already\nself-registered.\n\nThe recommended overlay is `compose.chapkit.yml`, an umbrella file that\nincludes every chapkit-converted model. As more models are converted to\nchapkit, they get added here so a single `-f` flag pulls them all in:\n\n```shell\ndocker compose -f compose.yml -f compose.chapkit.yml up -d\n```\n\nIf you only want the EWARS service, use the single-model overlay\n`compose.ewars.yml` instead:\n\n```shell\ndocker compose -f compose.yml -f compose.ewars.yml up -d\n```\n\n## Deploy on Kubernetes\n\nCHAP can be deployed on Kubernetes using our helm chart which can be found [here](./charts/chap).\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["bioinformatics"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/299951","html_url":"https://ost.ecosyste.ms/projects/299951"}