残プロ 第-9回 ~6回から8回のプログラムを組み込む~

各回の簡単なまとめ

それぞれの回の詳しいまとめは日曜日の第-12回でやります！

第６回　pandasを使ってcsvファイルの読み込み・書き込み．
第７回　reを使って正規表現による文字列の分割．
第８回　datetime, calendarを使って文字列を日付へ変換．次の第N曜日を計算．

あまり利用モジュールは増やしたくないんですが日に日に増えていってますね...

タスク管理用に組み込み

.csv

name:タスク名
deadline_date, deadline_time:期限（日），期限（時間）
isRoutine:習慣の場合は日数，又は既定の文章で指定 ["Every"や"Second"等の頻度？ + "Monday"や"Sunday"等の曜日]
priority:重要度

となっています．時間部分についてはまだ未実装です．

直貼りが一番分かりやすいですね！

.py

トークンはmytoken.pyにTOKEN="発行されたトークン"として保存しています．毎回編集するのが面倒なので．

TaskNotify.py

import requests
import datetime
import calendar
import re
import pandas as pd
from mytoken import TOKEN

class Task:
    def __init__(self, name, date, priority):
        self.name = name
        self.date = date
        self.priority = priority
        self.sentence = "{}まで残り{}日\n".format(name, abs(self.date-today).days)


def str2date(str_list):
    date_list = []
    for s in str_list:
        frequency = s[0]
        weekday = s[1]
        if frequency == "Every":
            if weekday == "Day":
                date = today
            else:
                delta = weekday_list.index(weekday) - today.weekday()
                if delta < 0:
                    delta += 7
                date = today + datetime.timedelta(days=delta)
        else:
            nth = frequency_list.index(frequency) + 1
            weekday_first, _ = calendar.monthrange(year=today.year, month=today.month)
            day = 7 * (nth-1) + (weekday_list.index(weekday) - weekday_first) % 7 + 1
            if day >= today.day:
               delta = day - today.day
               date = today + datetime.timedelta(days=delta)
            else:
                weekday_first, _ = calendar.monthrange(year=today.year, month=today.month+1)
                day = 7 * (nth-1) + (weekday_list.index(weekday) - weekday_first) % 7 + 1
                date = datetime.date(year=today.year, month=today.month+1, day=1) + datetime.timedelta(days=day-1)
        date_list.append(date)
    return date_list


def separateStr(string):
    separated_comma = string.split(',')
    separated_upper = []
    for s in separated_comma:
        separated_upper.append(re.findall('[A-Z][a-z]+', s))
    return separated_upper


def loadTasks(path_csv):
    csv_tasks = pd.read_csv(path_csv, encoding='shift-jis')
    list_tasks =[[] for _ in range(len(priority_list)+1)]
    for row in csv_tasks.itertuples():
        date = datetime.datetime.strptime(row.deadline_date, '%Y年%m月%d日').date()
        if type(row.isRoutine) is not float:
            try:
                routine = int(row.isRoutine)
                if date < today:
                    date += datetime.timedelta(days=routine-1)
            except ValueError:
                if type(row.isRoutine) is str:
                    str_list = separateStr(row.isRoutine)
                    date_list = str2date(str_list)
                    date = min(date_list)
            csv_tasks.at[row[0], 'deadline_date'] = date.strftime('%Y年%m月%d日')
        if type(row.priority) is str:
            list_tasks[priority_list.index(row.priority)].append(Task(row.name, date, row.priority))
        else:
            list_tasks[-1].append(Task(row.name, date, row.priority))
    csv_tasks.to_csv(path_csv, encoding='shift-jis', index=False)
    return list_tasks


def createMessage(list_tasks):
    sentences = "\n"
    for i in range(len(priority_list)):
        sentences += "===Priority:{}===\n".format(priority_list[i])
        for t in list_tasks[i]:
            if t.date >= today:
                sentences += t.sentence
    sentences += "===Routine===\n"
    for t in list_tasks[-1]:
        sentences += t.sentence
    return sentences


if __name__ == '__main__':
    frequency_list = ['First', 'Second', 'Third', 'Fourth']
    weekday_list = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
    priority_list = ['high', 'mid', 'low']
    today = datetime.date.today()

    list_tasks = loadTasks("tasks.csv")

    message_dict = {'message': createMessage(list_tasks)}

    url = 'https://notify-api.line.me/api/notify'
    TOKEN_dict = {'Authorization': 'Bearer ' + TOKEN}

    requests.post(url, headers=TOKEN_dict, data=message_dict)

LINE画面(実行結果)

次回　第-10回は

LINE通知画面を工夫しようということで，絵文字や画像，スタンプなんかを使ってみます．