term bilan start workin
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\documentclass{/media/documents/Cours/Prof/Enseignements/2016-2017/tools/style/classBilan}
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\usepackage{/media/documents/Cours/Prof/Enseignements/2016-2017/theme}
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\usepackage{booktabs}
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% Title Page
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\titre{Trimestre \Var{bilan_info["Trimestre"]}}
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% \seconde \premiereS \PSTMG \TSTMG
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\classe{\Var{bilan_info["Classe"]}}
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\date{}
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\begin{document}
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%- for e in students
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\maketitle
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\Var{e["Nom"]}
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\Var{e["eval"].groupby("Nom").sum()[["Mark","Bareme"]].to_latex()}
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\Var{e["quest"] | radar_on("Competence") | includegraphics(document_path=directory, scale=0.7)}
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\Var{e["quest"] | radar_on("Domaine") | includegraphics(document_path=directory, scale=0.7)}
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\vfill
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\normalsize
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\pagebreak
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%- endfor
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\end{document}
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%%% Local Variables:
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%%% mode: latex
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%%% TeX-master: "master"
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%%% End:
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#!/usr/bin/env python
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# encoding: utf-8
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from notes_tools.tools import extract_flat_marks, get_class_ws, digest_flat_df, term_tools, eval_tools
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from .texenv import feed_template
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import pandas as pd
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import numpy as np
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import xlrd
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from path import Path
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import logging
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logger = logging.getLogger("generate_bilan")
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def term_info(classe, ds_df):
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"""TODO: Docstring for build_ds_info.
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:param ds_df: TODO
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:returns: TODO
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# TODO: vérifier que toutes ces informations soient identiques sur les lignes |dim. nov. 6 16:06:58 EAT 2016
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"""
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eval_info = {}
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eval_info["Classe"] = classe
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eval_info["Trimestre"] = ds_df["Trimestre"].unique()[0]
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return eval_info
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def build_target_name(classe, term, path = Path("./")):
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""" Build the path where the .tex will be sored
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>>> build_target_name("312", "DS1")
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Path('./312/bilan_DS1.tex')
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>>> build_target_name("312", "DS1", Path("plop/"))
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Path('plop/312/bilan_DS1.tex')
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"""
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return Path(path + "/{cls}/bilan_T{term}.tex".format(cls=classe, term=term))
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def term_bilan(classe, term, path = Path('./'),
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template = "tpl_bilan_term.tex"):
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""" Generate the bilan of a evaluation for a class
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:param classe: the classe name
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:param evalname: name of the evaluation
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:param path: path where xlsx are stored
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:param template: template for the bilan
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"""
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ws = get_class_ws(classe, path)
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logger.info("Worksheets of {} imported".format(classe))
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flat_df = extract_flat_marks(ws)
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quest_df, exo_df, eval_df = digest_flat_df(flat_df)
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logger.info("Worksheets parsed")
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quest_df, exo_df, eval_df = \
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term_tools.select(quest_df, exo_df, eval_df, term)
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_, conn_df, _ = \
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eval_tools.select_contains(quest_df, exo_df, eval_df, "conn")
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bilan_info = term_info(classe, eval_df)
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students = term_tools.students_pov(quest_df, exo_df, eval_df)
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datas = {"bilan_info": bilan_info, "students":students,
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"quest_df":quest_df, "exo_df":exo_df, "eval_df":eval_df,
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"conn_df": conn_df}
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target = build_target_name(classe, term, path)
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feed_template(target, datas, template)
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# -----------------------------
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# Reglages pour 'vim'
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# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
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# cursor: 16 del
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#!/usr/bin/env python
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# encoding: utf-8
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import pandas as pd
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import numpy as np
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def select(quest_df, exo_df, eval_df, term):
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""" Return quest, exo and eval rows which correspond to evalname
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:param quest_df: TODO
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:param exo_df: TODO
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:param eval_df: TODO
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"""
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qu = quest_df[quest_df["Trimestre"] == term]
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exo = exo_df[exo_df["Trimestre"] == term]
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ev = eval_df[eval_df["Trimestre"] == term]
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return qu, exo, ev
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def students_pov(quest_df, exo_df, eval_df):
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es = []
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for e in eval_df["Eleve"].unique():
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eleve = {"Nom":e}
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e_quest = quest_df[quest_df["Eleve"] == e]
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eleve["quest"] = e_quest
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e_exo = exo_df[exo_df["Eleve"] == e]
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eleve["exo"] = e_exo
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e_eval = eval_df[eval_df["Eleve"] == e]
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eleve["eval"] = e_eval
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es.append(eleve)
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return es
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# -----------------------------
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# Reglages pour 'vim'
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# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
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# cursor: 16 del
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