#!/usr/bin/env python
# encoding: utf-8

from notes_tools.tools import extract_flat_marks, get_class_ws, digest_flat_df, term_tools, eval_tools
from .texenv import feed_template
import pandas as pd
import numpy as np
import xlrd
from path import Path

import logging
logger = logging.getLogger("generate_bilan")

def term_info(classe, ds_df):
    """TODO: Docstring for build_ds_info.

    :param ds_df: TODO
    :returns: TODO


    # TODO: vérifier que toutes ces informations soient identiques sur les lignes |dim. nov.  6 16:06:58 EAT 2016
    """
    eval_info = {}
    eval_info["Classe"] = classe
    eval_info["Trimestre"] = ds_df["Trimestre"].unique()[0]
    return eval_info

def build_target_name(classe, term, path = Path("./")):
    """ Build the path where the .tex will be sored

    >>> build_target_name("312", "DS1")
    Path('./312/bilan_DS1.tex')
    >>> build_target_name("312", "DS1", Path("plop/"))
    Path('plop/312/bilan_DS1.tex')
    """
    return Path(path + "/{cls}/bilan_T{term}.tex".format(cls=classe, term=term))

def term_bilan(classe, term, path = Path('./'),
        template = "tpl_bilan_term.tex"):
    """ Generate the bilan of a evaluation for a class

    :param classe: the classe name
    :param evalname: name of the evaluation
    :param path: path where xlsx are stored
    :param template: template for the bilan

    """
    ws = get_class_ws(classe, path)
    logger.info("Worksheets of {} imported".format(classe))

    flat_df = extract_flat_marks(ws)
    quest_df, exo_df, eval_df = digest_flat_df(flat_df)
    logger.info("Worksheets parsed")

    quest_df, exo_df, eval_df = \
            term_tools.select(quest_df, exo_df, eval_df, term)
    _, conn_df, _ = \
            eval_tools.select_contains(quest_df, exo_df, eval_df, "Conn")

    bilan_info = term_info(classe, eval_df)
    students = term_tools.students_pov(quest_df, exo_df, eval_df)

    datas = {"bilan_info": bilan_info, "students":students,
            "quest_df":quest_df, "exo_df":exo_df, "eval_df":eval_df,
            "conn_df": conn_df}

    target = build_target_name(classe, term, path)
    feed_template(target, datas, template)


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