Feat: cli to make a report

recoconfig.yml

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+---
+source: sheets/
+output: reports/
+templates: templates/

recopytex.py

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+#!/usr/bin/env python
+# encoding: utf-8
+
+import click
+from pathlib import Path
+import yaml
+import sys
+import papermill as pm
+
+with open("recoconfig.yml", "r") as config:
+    config = yaml.load(config, Loader=yaml.FullLoader)
+
+
+@click.group()
+def cli():
+    pass
+
+
+@cli.command()
+def print_config():
+    click.echo(config.key())
+
+
+@cli.command()
+@click.argument("csv_file")
+def report(csv_file):
+    csv = Path(csv_file)
+    if not csv.exists():
+        click.echo(f"{csv_file} does not exists")
+        sys.exit(1)
+    if csv.suffix != ".csv":
+        click.echo(f"{csv_file} has to be a csv file")
+        sys.exit(1)
+
+    *a, tribe, assessment_file = csv_file.split("/")
+    assessment_desc = assessment_file.split(".")[0]
+    assessment_name = assessment_desc.split("_")[-1].capitalize()
+
+    template = Path(config["templates"]) / "tpl_evaluation.ipynb"
+    dest = Path(config["output"]) / tribe / assessment_name / f"{assessment_name}.ipynb"
+
+    dest.parent.mkdir(parents=True, exist_ok=True)
+
+    pm.execute_notebook(
+        str(template), str(dest), parameters=dict(tribe=tribe, assessment=assessment_name)
+    )
+
+
+if __name__ == "__main__":
+    cli()

templates/tpl_evaluation.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "tags": [
+     "parameters"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "tribe = \"308\"\n",
+    "assessment = \"161114_dm2\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from IPython.display import Markdown as md\n",
+    "import pandas as pd\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "csv_file = Path(f\"./sheets/{tribe}/{assessment}.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "# Ds1 pour 308"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "md(f\"# {assessment} pour {tribe}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Tags",
+  "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

templates/tpl_student.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "tags": [
+     "parameters"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "tribe = 308\n",
+    "student = \"ABDOU Asmahane\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from IPython.display import Markdown as md\n",
+    "import pandas as pd\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "# ABDOU Asmahane en 308"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "md(f\"# {student} en {tribe}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Tags",
+  "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}