2022-2023/templates/.ipynb_checkpoints/tpl_evaluation-checkpoint.ipynb

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"e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],440:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],441:[function(t,e,r){\"use strict\";e.exports=i,e.exports.isMobile=i,e.exports.default=i;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,a=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function i(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?a.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],442:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],443:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],444:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],445:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],446:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],447:[function(t,e,r){!function(t,n){\"object\"==typeof r&&\"undefined\"!=typeof e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,a){if(t)if(e){var i=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=a(o)).workerUrl=window.URL.createObjectURL(new Blob([i],{type:\"text/javascript\"}))}else e=a;else t=a}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,a,i,o;for(void 0===e&&(e=1e-6),a=t,o=0;o<8;o++){if(i=this.sampleCurveX(a)-t,Math.abs(i)<e)return a;var s=this.sampleCurveDerivativeX(a);if(Math.abs(s)<1e-6)break;a-=i/s}if((a=t)<(r=0))return r;if(a>(n=1))return n;for(;r<n;){if(i=this.sampleCurveX(a),Math.abs(i-t)<e)return a;t>i?r=a:n=a,a=.5*(n-r)+r}return a},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var a=i;function i(t,e){this.x=t,this.y=e}function o(t,e,n,a){var i=new r(t,e,n,a);return function(t){return i.solve(t)}}i.prototype={clone:function(){return new i(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoi
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"object-assign\n",
"(c) Sindre Sorhus\n",
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"/*!\n",
" * pad-left <https://github.com/jonschlinkert/pad-left>\n",
" *\n",
" * Copyright (c) 2014-2015, Jon Schlinkert.\n",
" * Licensed under the MIT license.\n",
" */\n",
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"/*\n",
" * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
" * @license MIT\n",
" * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
" */\n",
"var n,a=t(\"./lib/build-log\"),i=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,h=i();function f(t,e,r){var a=n.segments(t),i=n.segments(e),o=r(n.combine(a,i));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=a():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return h.epsilon(t)},segments:function(t){var e=o(!0,h,u);return t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,h,u).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,u),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,u),inverted:t.inverted1&&t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,u),inverted:t.inverted1&&!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,u),inverted:!t.inverted1&&t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,u),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,h,u),inverted:t.inverted}},polygonFromGeoJSON:function(t){return c.toPolygon(n,t)},polygonToGeoJSON:function(t){return c.fromPolygon(n,h,t)},union:function(t,e){return f(t,e,n.selectUnion)},intersect:function(t,e){return f(t,e,n.selectIntersect)},difference:function(t,e){return f(t,e,n.selectDifference)},differenceRev:function(t,e){return f(t,e,n.selectDifferenceRev)},xor:function(t,e){return f(t,e,n.selectXor)}},\"object\"==typeof window&&(window.PolyBool=n),e.exports=n},{\"./lib/build-log\":492,\"./lib/epsilon\":493,\"./lib/geojson\":494,\"./lib/intersecter\":495,\"./lib/segment-chainer\":497,\"./lib/segment-selector\":498}],492:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n(\"check\",{seg1:t,seg2:e})},segmentChop:function(t,e){return n(\"div_seg\",{seg:t,pt:e}),n(\"chop\",{seg:t,pt:e})},statusRemove:function(t){return n(\"pop_seg\",{seg:t})},segmentUpdate:function(t){return n(\"seg_update\",{seg:t})},segmentNew:function(t,e){return n(\"new_seg\",{seg:t,primary:e})},segmentRemove:function(t){return n(\"rem_seg\",{seg:t})},tempStatus:function(t,e,r){return n(\"temp_status\",{seg:t,above:e,below:r})},rewind:function(t){return n(\"rewind\",{seg:t})},status:function(t,e,r){return n(\"status\",{seg:t,above:e,below:r})},vert:function(e){return e===r?t:(r=e,n(\"vert\",{x:e}))},log:function(t){return\"string\"!=typeof t&&(t=JSON.stringify(t,!1,\" \")),n(\"log\",{txt:t})},reset:function(){return n(\"reset\")},selected:function(t){return n(\"selected\",{segs:t})},chainStart:function(t){return n(\"chain_start\",{seg:t})},chainRemoveHead:function(t,e){return n(\"chain_rem_head\",{index:t,pt:e})},chainRemoveTail:function(t,e){return n(\"chain_rem_tail\",{index:t,pt:e})},chainNew:function(t,e){return n(\"chain_new\",{pt1:t,pt2:e})},chainMatch:function(t){return n(\"chain_match\",{index:t})},chainClose:function(t){return n(\"chain_close\",{index:t})},chainAddHead:function(t,e){return n(\"chain_add_head\",{index:t,pt:e})},chainAddTail:function(t,e){return n(\"chain_add_tail\",{index:t,pt:e})},chainConnect:function(t,e){return n(\"chain_con\",{index1:t,index2:e})},chainReverse:function(t){return n(\"chain_rev\",{index:t})},chainJoin:function(t,e){return n(\"chain_join\",{index1:t,index2:e})},done:function(){return n(\"done\")}}}},{}],493:[function(t,e,r){e.exports=function(t){\"number\"!=typeof t&&(t=1e-10);var e={epsilon:function(e){return\"number\"==typeof e&&(t=e),t},pointAboveOrOnLine:function(e,r,n){var a=r[0],i=r[1],o=n[0],s=n[1],l=e[0];return(o-a)*(e[1]-i)-(s-i)*(l-a)>=-t},pointBetween:function(e,r,n){var a=e[1]-r[1],i=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*i+a*s;return!(l<t)&&!(l-(i*i+s*s)>-t)},pointsSameX:function(e,r){r
"/*!\n",
" * repeat-string <https://github.com/jonschlinkert/repeat-string>\n",
" *\n",
" * Copyright (c) 2014-2015, Jon Schlinkert.\n",
" * Licensed under the MIT License.\n",
" */\n",
"\"use strict\";var n,a=\"\";e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"expected a string\");if(1===e)return t;if(2===e)return t+t;var r=t.length*e;if(n!==t||\"undefined\"==typeof n)n=t,a=\"\";else if(a.length>=r)return a.substr(0,r);for(;r>a.length&&e>1;)1&e&&(a+=t),e>>=1,t+=t;return a=(a+=t).substr(0,r)}},{}],514:[function(t,e,r){(function(t){e.exports=t.performance&&t.performance.now?function(){return performance.now()}:Date.now||function(){return+new Date}}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],515:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.length,r=t[t.length-1],n=e,a=e-2;a>=0;--a){var i=r,o=t[a];(l=o-((r=i+o)-i))&&(t[--n]=r,r=l)}var s=0;for(a=n;a<e;++a){var l;i=t[a];(l=(o=r)-((r=i+o)-i))&&(t[s++]=l)}return t[s++]=r,t.length=s,t}},{}],516:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),a=t(\"robust-sum\"),i=t(\"robust-scale\"),o=t(\"robust-compress\");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var a=r[n-1]=new Array(t.length-1),i=0,o=0;i<t.length;++i)i!==e&&(a[o++]=t[n][i]);return r}function l(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=[\"m[\",r,\"][\",n,\"]\"].join(\"\")}return e}function c(t){if(2===t.length)return[\"sum(prod(\",t[0][0],\",\",t[1][1],\"),prod(-\",t[0][1],\",\",t[1][0],\"))\"].join(\"\");for(var e=[],r=0;r<t.length;++r)e.push([\"scale(\",c(s(t,r)),\",\",(n=r,1&n?\"-\":\"\"),t[0][r],\")\"].join(\"\"));return function t(e){if(1===e.length)return e[0];if(2===e.length)return[\"sum(\",e[0],\",\",e[1],\")\"].join(\"\");var r=e.length>>1;return[\"sum(\",t(e.slice(0,r)),\",\",t(e.slice(r)),\")\"].join(\"\")}(e);var n}function u(t){return new Function(\"sum\",\"scale\",\"prod\",\"compress\",[\"function robustDeterminant\",t,\"(m){return compress(\",c(l(t)),\")};return robustDeterminant\",t].join(\"\"))(a,i,n,o)}var h=[function(){return[0]},function(t){return[t[0][0]]}];!function(){for(;h.length<6;)h.push(u(h.length));for(var t=[],r=[\"function robustDeterminant(m){switch(m.length){\"],n=0;n<6;++n)t.push(\"det\"+n),r.push(\"case \",n,\":return det\",n,\"(m);\");r.push(\"}var det=CACHE[m.length];if(!det)det=CACHE[m.length]=gen(m.length);return det(m);}return robustDeterminant\"),t.push(\"CACHE\",\"gen\",r.join(\"\"));var a=Function.apply(void 0,t);for(e.exports=a.apply(void 0,h.concat([h,u])),n=0;n<h.length;++n)e.exports[n]=h[n]}()},{\"robust-compress\":515,\"robust-scale\":522,\"robust-sum\":525,\"two-product\":554}],517:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),a=t(\"robust-sum\");e.exports=function(t,e){for(var r=n(t[0],e[0]),i=1;i<t.length;++i)r=a(r,n(t[i],e[i]));return r}},{\"robust-sum\":525,\"two-product\":554}],518:[function(t,e,r){\"use strict\";var n=t(\"two-product\"),a=t(\"robust-sum\"),i=t(\"robust-subtract\"),o=t(\"robust-scale\");function s(t,e){for(var r=new Array(t.length-1),n=1;n<t.length;++n)for(var a=r[n-1]=new Array(t.length-1),i=0,o=0;i<t.length;++i)i!==e&&(a[o++]=t[n][i]);return r}function l(t){if(1===t.length)return t[0];if(2===t.length)return[\"sum(\",t[0],\",\",t[1],\")\"].join(\"\");var e=t.length>>1;return[\"sum(\",l(t.slice(0,e)),\",\",l(t.slice(e)),\")\"].join(\"\")}function c(t,e){if(\"m\"===t.charAt(0)){if(\"w\"===e.charAt(0)){var r=t.split(\"[\");return[\"w\",e.substr(1),\"m\",r[0].substr(1)].join(\"\")}return[\"prod(\",t,\",\",e,\")\"].join(\"\")}return c(e,t)}function u(t){if(2===t.length)return[[\"diff(\",c(t[0][0],t[1][1]),\",\",c(t[1][0],t[0][1]),\")\"].join(\"\")];for(var e=[],r=0;r<t.length;++r)e.push([\"scale(\",l(u(s(t,r))),\",\",(n=r,!0&n?\"-\":\"\"),t[0][r],\")\"].join(\"\"));return e;var n}function h(t,e){for(var r=[],n=0;n<e-2;++n)r.push([\"prod(m\",t,\"[\",n,\"],m\",t,\"[\",n,\"])\"].join(\"\"));return l(r)}function f(t){for(var e=[],r=[],c=function(t){for(var e=new Array(t),r=0;r<t;++r){e[r]=new Array(t);for(var n=0;n<t;++n)e[r][n]=[\"m\",n,\"[\",t-r-2,\"]\"].join(\"\")}return e}(t),f=0;f<t;++f)c[0][f]=\"1\",c[t-1][f]=\"w\"+f;fo
" });\n",
" require(['plotly'], function(Plotly) {\n",
" window._Plotly = Plotly;\n",
" });\n",
" }\n",
" </script>\n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from IPython.display import Markdown as md\n",
"from IPython.display import display, HTML\n",
"import pandas as pd\n",
"import numpy as np\n",
"import ipywidgets as widgets\n",
"from pathlib import Path\n",
"from datetime import datetime\n",
"from recopytex import flat_df_students, pp_q_scores\n",
"from datetime import datetime\n",
"\n",
"\n",
"import chart_studio.plotly as py\n",
"import plotly.graph_objects as go\n",
"import plotly.figure_factory as ff\n",
"\n",
"from plotly.offline import iplot, init_notebook_mode\n",
"init_notebook_mode()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2020-10-04T07:26:58.701039Z",
"iopub.status.busy": "2020-10-04T07:26:58.700150Z",
"iopub.status.idle": "2020-10-04T07:26:58.703382Z",
"shell.execute_reply": "2020-10-04T07:26:58.702696Z"
},
"extensions": {
"jupyter_dashboards": {
"version": 1,
"views": {
"grid_default": {},
"report_default": {
"hidden": true
}
}
}
},
"papermill": {
"duration": 0.105904,
"end_time": "2020-10-04T07:26:58.703518",
"exception": false,
"start_time": "2020-10-04T07:26:58.597614",
"status": "completed"
},
"slideshow": {
"slide_type": "skip"
},
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"tribe = \"ES\"\n",
"assessment = \"ds2\"\n",
"date = \"14/10/19\"\n",
"csv_file = Path(f\"../{tribe}/191014_{assessment}.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2020-10-04T07:26:58.908180Z",
"iopub.status.busy": "2020-10-04T07:26:58.907084Z",
"iopub.status.idle": "2020-10-04T07:26:58.911239Z",
"shell.execute_reply": "2020-10-04T07:26:58.910123Z"
},
"papermill": {
"duration": 0.110363,
"end_time": "2020-10-04T07:26:58.911455",
"exception": false,
"start_time": "2020-10-04T07:26:58.801092",
"status": "completed"
},
"tags": [
"injected-parameters"
]
},
"outputs": [],
"source": [
"# Parameters\n",
"tribe = \"TST1\"\n",
"assessment = \"Ds3\"\n",
"date = \"13/11/20\"\n",
"csv_file = \"/home/lafrite/Cours/2020-2021/Notes/TST1/201113_DS3.csv\"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2020-10-04T07:26:59.130362Z",
"iopub.status.busy": "2020-10-04T07:26:59.129790Z",
"iopub.status.idle": "2020-10-04T07:26:59.131451Z",
"shell.execute_reply": "2020-10-04T07:26:59.130977Z"
},
"papermill": {
"duration": 0.109746,
"end_time": "2020-10-04T07:26:59.131570",
"exception": false,
"start_time": "2020-10-04T07:26:59.021824",
"status": "completed"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/lafrite/Cours/2020-2021/Notes/TST1/201113_DS3\n"
]
}
],
"source": [
"date = datetime.strptime(date, \"%d/%m/%y\")\n",
"output_path = Path(csv_file[:-4])\n",
"print(output_path)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2020-10-04T07:26:59.353722Z",
"iopub.status.busy": "2020-10-04T07:26:59.353175Z",
"iopub.status.idle": "2020-10-04T07:26:59.356913Z",
"shell.execute_reply": "2020-10-04T07:26:59.356386Z"
},
"extensions": {
"jupyter_dashboards": {
"version": 1,
"views": {
"grid_default": {},
"report_default": {
"hidden": false
}
}
}
},
"papermill": {
"duration": 0.122626,
"end_time": "2020-10-04T07:26:59.357021",
"exception": false,
"start_time": "2020-10-04T07:26:59.234395",
"status": "completed"
},
"slideshow": {
"slide_type": "slide"
},
"tags": []
},
"outputs": [
{
"data": {
"text/markdown": [
"# Ds3 (20/11/13) pour TST1"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"if date is None:\n",
" display(md(f\"# {assessment} pour {tribe}\"))\n",
"else:\n",
" display(md(f\"# {assessment} ({date:%y/%m/%d}) pour {tribe}\"))"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"execution": {
"iopub.execute_input": "2020-10-04T07:26:59.584153Z",
"iopub.status.busy": "2020-10-04T07:26:59.583420Z",
"iopub.status.idle": "2020-10-04T07:26:59.842267Z",
"shell.execute_reply": "2020-10-04T07:26:59.840480Z"
},
"extensions": {
"jupyter_dashboards": {
"version": 1,
"views": {
"grid_default": {},
"report_default": {
"hidden": true
}
}
}
},
"papermill": {
"duration": 0.385376,
"end_time": "2020-10-04T07:26:59.842589",
"exception": true,
"start_time": "2020-10-04T07:26:59.457213",
"status": "failed"
},
"slideshow": {
"slide_type": "skip"
},
"tags": []
},
"outputs": [],
"source": [
"stack_scores = pd.read_csv(csv_file, encoding=\"UTF8\")\n",
"comments = stack_scores.iloc[0]\n",
"stack_scores.drop([0], inplace=True)\n",
"scores = flat_df_students(stack_scores).dropna(subset=[\"Score\"])\n",
"scores = pp_q_scores(scores)\n",
"#scores.head()\n",
"#comments.drop()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"extensions": {
"jupyter_dashboards": {
"version": 1,
"views": {
"grid_default": {},
"report_default": {
"hidden": true
}
}
}
},
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"slideshow": {
"slide_type": "skip"
},
"tags": []
},
"outputs": [],
"source": [
"exercises_scores = scores.groupby([\"Exercice\", \"Eleve\"]).agg({\"Note\": \"sum\", \"Bareme\": \"sum\"})"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"outputs": [],
"source": [
"assessment_scores = scores.groupby([\"Eleve\"]).agg({\"Note\": \"sum\", \"Bareme\": \"sum\"})"
]
},
{
"cell_type": "markdown",
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"source": [
"### Bilans personnalisés"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"scrolled": true,
"tags": []
},
"outputs": [],
"source": [
"import pytex\n",
"#scores.head()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"outputs": [],
"source": [
"datas = {\n",
" \"assessment\": {\n",
" \"name\": assessment,\n",
" \"date\": date\n",
" },\n",
" #\"exercises\": scores[\"Exercice\"].unique(),\n",
" #\"questions\": scores[[\"Exercice\", 'Question', 'Competence', 'Domaine', 'Commentaire', 'Bareme', 'Est_nivele']],\n",
" \"eleves\": {}\n",
"}\n",
"for e in scores[\"Eleve\"].unique():\n",
" edatas = {\n",
" \"assessment\": assessment_scores.loc[e],\n",
" \"exercices\": exercises_scores.xs(e, level=\"Eleve\"),\n",
" \"exscores\": {}\n",
" }\n",
" for i, ex in edatas[\"exercices\"].iterrows():\n",
" edatas[\"exscores\"][i] = scores.loc[(scores.Exercice==i) & (scores.Eleve==e)]\n",
" datas[\"eleves\"][e] = edatas"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"outputs": [],
"source": [
"score_template = r\"\"\"\n",
"\\documentclass[a5paper,10pt]{article}\n",
"\\usepackage{fullpage}\n",
"\\usepackage{booktabs}\n",
"\\usepackage{longtable}\n",
"\n",
"\\usepackage{geometry}\n",
"\\geometry{left=10mm,right=10mm, top=10mm}\n",
"\n",
"\\renewcommand{\\arraystretch}{1}\n",
"\\setlength{\\columnseprule}{0pt}\n",
"\n",
"\n",
"\\begin{document}\n",
"\n",
"\n",
" \\section*{\\Var{assessment.name} \\hfill \\Var{e} \\hfill \\Var{sc.assessment.Note}/\\Var{sc.assessment.Bareme}}\n",
" %- for i,ex in sc.exercices.iterrows() \n",
" \\subsection*{Exercice \\Var{i}: \\Var{ex.Note} / \\Var{ex.Bareme}}\n",
" \\Var{sc.exscores[i].to_latex(index=False, columns=[\"Question\", \"Domaine\", \"Commentaire\", \"Note\", \"Bareme\"])}\n",
" %#\\Var{sc.exscores}\n",
" %- endfor\n",
"\n",
"\\end{document}\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Wrote 201113_Ds3_AIOUAZ Ahmed.tex\n",
"Wrote 201113_Ds3_BAHBAH Zakaria.tex\n",
"Wrote 201113_Ds3_BENHATTAL Chakir.tex\n",
"Wrote 201113_Ds3_CLAIN Avinash.tex\n",
"Wrote 201113_Ds3_COLASSI Alexis.tex\n",
"Wrote 201113_Ds3_COUBAT Alexis.tex\n",
"Wrote 201113_Ds3_COULLON Anis.tex\n",
"Wrote 201113_Ds3_DINGER Sölen.tex\n",
"Wrote 201113_Ds3_EYRAUD Cynthia.tex\n",
"Wrote 201113_Ds3_FERREIRA Léo.tex\n",
"Wrote 201113_Ds3_FILALI Zakaria.tex\n",
"Wrote 201113_Ds3_FOIGNY Romain.tex\n",
"Wrote 201113_Ds3_HIPOLITO DA SILVA Andréa.tex\n",
"Wrote 201113_Ds3_HUMBERT Rayan.tex\n",
"Wrote 201113_Ds3_MASSON Grace.tex\n",
"Wrote 201113_Ds3_MOKHTARI Nissrine.tex\n",
"Wrote 201113_Ds3_MOUFAQ Amine.tex\n",
"Wrote 201113_Ds3_ONAL Yakub.tex\n",
"Wrote 201113_Ds3_SORIANO Laura.tex\n",
"Wrote 201113_Ds3_VECCHIO Léa.tex\n"
]
}
],
"source": [
"tpl = pytex.texenv.from_string(score_template)\n",
"\n",
"for e,sc in datas['eleves'].items():\n",
" reportfilename = f\"{date:%y%m%d}_{assessment}_{e}.tex\"\n",
" with open(output_path / reportfilename, \"w\") as f:\n",
" f.write(tpl.render(sc=sc, **datas))\n",
" print(f\"Wrote {reportfilename}\")\n",
" pytex.pdflatex(reportfilename)"
]
},
{
"cell_type": "markdown",
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"source": [
"## Envoie des bilans par mail"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Bian du devoir Ds3\n",
"Bonsoir,\n",
"En pièce jointe, vous trouverez un document détaillant la note du devoir.\n",
"B.Bertrand\n",
"\n"
]
}
],
"source": [
"mailfrom = \"benjamin.bertrand@ac-lyon.fr\"\n",
"subject = f\"Bian du devoir {assessment}\"\n",
"message = \"\"\"Bonsoir,\n",
"En pièce jointe, vous trouverez un document détaillant la note du devoir.\n",
"B.Bertrand\n",
"\"\"\"\n",
"print(subject)\n",
"print(message)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"import smtplib\n",
"import os\n",
"import sys\n",
"from email.message import EmailMessage\n",
"import mimetypes\n",
"import time\n",
"import random"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"def build_msg(subj, to_addr, from_addr, body, att):\n",
" msg = EmailMessage()\n",
" msg[\"Subject\"] = subj\n",
" msg[\"To\"] = to_addr\n",
" #msg[\"To\"] = \"lafrite26@gmail.com\"\n",
" msg[\"From\"] = from_addr\n",
" msg.set_content(body)\n",
"\n",
" if att != []:\n",
" ctype, encoding = mimetypes.guess_type(att)\n",
" if ctype is None or encoding is not None:\n",
" ctype = 'application/octet-stream'\n",
" maintype, subtype = ctype.split('/', 1)\n",
" with open(att, \"rb\") as f:\n",
" msg.add_attachment(f.read(),\n",
" maintype=maintype,\n",
" subtype=subtype,\n",
" filename=att.name)\n",
" return msg\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"send = 0\n",
"fake = 1"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"if send:\n",
" if fake:\n",
" server = smtplib.SMTP(\"localhost\", 8025)\n",
" server.ehlo()\n",
" else:\n",
" server = smtplib.SMTP(\"smtps.ac-lyon.fr\", 587)\n",
" server.ehlo()\n",
" server.starttls()\n",
" server.ehlo()\n",
" server.login(\"bbertrand\", os.popen(\"pass Prof/Lyon/bbertrand\").read()[:-1]) "
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" eleves_data = pd.read_csv(f\"../../{tribe}.csv\")\n",
"except FileNotFoundError:\n",
" try:\n",
" eleves_data = pd.read_csv(f\"../{tribe}.csv\")\n",
" except FileNotFoundError:\n",
" eleves_data = pd.read_csv(f\"{tribe}.csv\")\n",
"eleves_data.fillna(\"\", inplace=True)\n",
"#eleves_data"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"papermill": {
"duration": null,
"end_time": null,
"exception": null,
"start_time": null,
"status": "pending"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Pas de rapport pour BALLOFFET Kenza\n",
"Pas de mail pour FOIGNY Romain\n",
"Pas de mail pour HUMBERT Rayan\n"
]
}
],
"source": [
"for e in eleves_data.iterrows():\n",
" reportfilename = Path(f\"{date:%y%m%d}_{assessment}_{e[1]['Nom']}.pdf\")\n",
" try:\n",
" assert reportfilename.exists()\n",
" except:\n",
" print(f\"Pas de rapport pour {e[1]['Nom']}\")\n",
" else:\n",
" if e[1][\"mail\"] != \"\":\n",
" if send:\n",
" msg = build_msg(subject, e[1][\"mail\"], mailfrom, message, reportfilename)\n",
" server.send_message(msg)\n",
" print(f\"\\tBilan envoyé à {e[1]['Nom']}\")\n",
" else:\n",
" print(f\"Pas de mail pour {e[1]['Nom']}\")\n",
" "
]
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