Version rustique pour passer de recopytex vers le tableur
This commit is contained in:
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import xlsxwriter"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from repytex.tools.evaluation import Evaluation\n",
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"import sqlite3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"conn = sqlite3.connect('./recopytex.db')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"ev = Evaluation.from_sqlite(16, conn)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'DS4'"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ev.name"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style>\n",
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" .dataframe thead tr:only-child th {\n",
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" text-align: right;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: left;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>id</th>\n",
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" <th>name</th>\n",
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" <th>eval_id</th>\n",
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" <th>date</th>\n",
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" <th>comment</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>43</td>\n",
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" <td>1 QCM</td>\n",
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" <td>16</td>\n",
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" <td>2018-01-16 00:00:00.000000</td>\n",
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" <td></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>44</td>\n",
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" <td>2 Bien assis?</td>\n",
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" <td>16</td>\n",
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" <td>2018-01-16 00:00:00.000000</td>\n",
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" <td></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>45</td>\n",
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" <td>3 L'urne</td>\n",
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" <td>16</td>\n",
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" <td>2018-01-16 00:00:00.000000</td>\n",
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" <td></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>46</td>\n",
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" <td>4 Programme de calculs</td>\n",
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" <td>16</td>\n",
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" <td>2018-01-16 00:00:00.000000</td>\n",
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" <td></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>47</td>\n",
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" <td>5 Roule cycliste</td>\n",
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" <td>16</td>\n",
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" <td>2018-01-16 00:00:00.000000</td>\n",
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" <td></td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>51</td>\n",
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" <td>Présentation</td>\n",
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" <td>16</td>\n",
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" <td>2018-01-17 00:00:00.000000</td>\n",
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" <td></td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" id name eval_id date comment\n",
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"0 43 1 QCM 16 2018-01-16 00:00:00.000000 \n",
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"1 44 2 Bien assis? 16 2018-01-16 00:00:00.000000 \n",
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"2 45 3 L'urne 16 2018-01-16 00:00:00.000000 \n",
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"3 46 4 Programme de calculs 16 2018-01-16 00:00:00.000000 \n",
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"4 47 5 Roule cycliste 16 2018-01-16 00:00:00.000000 \n",
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"5 51 Présentation 16 2018-01-17 00:00:00.000000 "
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ev.ex_df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"wb = xlsxwriter.Workbook(\"DS4_302.xlsx\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Formatages"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"eval_format = wb.add_format({'bold': True, 'font_color': 'red'})\n",
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"eval_cell = wb.add_format()\n",
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"eval_cell.set_bg_color(\"red\")\n",
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"# exo_cell"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"La feuille de calcul"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"wb = xlsxwriter.Workbook(\"DS4_302.xlsx\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"ws = wb.add_worksheet()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"En tête du tableau"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ws.write(0,1,\"Competence\")\n",
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"ws.write(0,2,\"Barème\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Toutes les questions et exercices"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def q_line(q, row, ws):\n",
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" ws.write(row, 0, f\"{q.name} - {q.comment}\")\n",
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" ws.write(row, 1, f\"{q.competence}\")\n",
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" ws.write(row, 2, q.score_rate)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def exo_block(exo, row, ws):\n",
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" qrow = row\n",
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" for q in exo[\"questions\"]:\n",
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" qrow += 1\n",
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" q_line(q, qrow, ws)\n",
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" ws.write(row, 0, f\"Ex {exo['name']}\")\n",
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" row_range = \", \".join([f\"C{i}\" for i in range(row+2, qrow+2)])\n",
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" for i in range(30):\n",
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" ws.write(row, i+2, f\"=SUM({row_range})\")\n",
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" return qrow"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {
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"scrolled": false
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},
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"outputs": [],
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"source": [
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"row = 2\n",
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"exo_rows = []\n",
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"for exo in ev.exercises:\n",
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" exo_rows.append(row)\n",
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" row = exo_block(exo, row, ws) + 1\n",
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"ws.write(1,0, ev.name, eval_format)\n",
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"exo_xls_range = \", \".join([f\"C{i+1}\" for i in exo_rows])\n",
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"for i in range(30):\n",
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" ws.write(1,i+2, f\"=SUM({exo_xls_range})\", eval_format)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"wb.close()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Avec openpyxl"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"from openpyxl import Workbook\n",
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"from openpyxl.styles import PatternFill, Border, Side, Alignment, Protection, Font, colors"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'00FF0000'"
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]
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},
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"execution_count": 17,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"colors.RED"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"wb = Workbook()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"ws = wb.create_sheet(ev.name)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<Cell 'DS4'.C1>"
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]
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},
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"execution_count": 20,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ws.cell(1,2,\"Competence\")\n",
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"ws.cell(1,3,\"Barème\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"def q_line(q, row, ws):\n",
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" ws.cell(row, 1, f\"{q.name} - {q.comment}\")\n",
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" ws.cell(row, 2, f\"{q.competence}\")\n",
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" ws.cell(row, 3, q.score_rate)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def exo_block(exo, row, ws):\n",
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" qrow = row\n",
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" for q in exo[\"questions\"]:\n",
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" qrow += 1\n",
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" q_line(q, qrow, ws)\n",
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" ws.cell(row, 1, f\"Ex {exo['name']}\")\n",
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" row_range = \", \".join([f\"C{i}\" for i in range(row+1, qrow+1)])\n",
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" ws.cell(row, 3, f\"=SUM({row_range})\")\n",
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" return qrow"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<Cell 'DS4'.C2>"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"row = 3\n",
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"exo_rows = []\n",
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"for exo in ev.exercises:\n",
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" exo_rows.append(row)\n",
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" row = exo_block(exo, row, ws) + 1\n",
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"eval_row = ws.row_dimensions[2]\n",
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"eval_row.fill = PatternFill(bgColor=colors.RED)\n",
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"ws.cell(2,1, ev.name)\n",
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"exo_xls_range = \", \".join([f\"C{i}\" for i in exo_rows])\n",
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"ws.cell(2,3, f\"=SUM({exo_xls_range})\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"wb.save(\"./DS4_302.xlsx\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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