{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Find Entry" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `Entry` is the main and most atomic entity in metacatalog. A set of metadata that describes one datasource of unique data type is described as `Entry`. In cases, where more than one `Entry` need to be grouped together to provide useful information, a `n:m` relation from `Entry` to `EntryGroup`s can be created. Depending on the kind of connection between the entries, `EntryGroup`s are futher described by `EntryGroupType`s." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Entry" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ ".. autofunction:: metacatalog.api.find_entry" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Entry-Group" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ ".. autofunction:: metacatalog.api.find_group" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Group type" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ ".. autofunction:: metacatalog.api.find_group_type" ] } ], "metadata": { "celltoolbar": "Raw Cell Format", "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.7" } }, "nbformat": 4, "nbformat_minor": 4 }