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

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

import logging
logger = logging.getLogger(__name__)

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_num, path = Path("./")):
    """ Build the path where the .tex will be sored

    >>> build_target_name("312", "DS1")
    Path('./312/report_DS1.tex')
    >>> build_target_name("312", "DS1", Path("plop/"))
    Path('plop/312/report_DS1.tex')
    """
    return Path(path + "/{cls}/report_T{term_num}.tex".format(cls=classe, term_num=term_num))

def term_report(classe, term_num, path = Path('./'),
        template = "tpl_reports_term.tex"):
    """ Generate the report 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 report

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

    flat_df = extract_flat_marks(ws)
    logger.info("Worksheets parsed")

    term_df = flat_df[flat_df['Trimestre'] == term_num]

    quest_df, exo_df, eval_df = digest_flat_df(term_df)
    #conn_df  = exo_df[exo_df["Nom"].str.contains('Conn')]

    report_info = term_info(classe, eval_df)

    students_pov = term.students_pov(quest_df, exo_df, eval_df)
    class_pov = term.class_pov(quest_df, exo_df, eval_df)

    datas = {"report_info": report_info, 
            "classe": class_pov,
            "students":students_pov,
            }

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


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