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81 lines
2.5 KiB
81 lines
2.5 KiB
import datetime
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import numpy as np
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from pandas import DataFrame;
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import pandas as pd
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from pandas.tseries.offsets import Hour
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from common.Def import *
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#读取Csv
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def ReadCsv(path, name, date):
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file = f"{path}/{date}/{name}_{date}.csv"
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if os.path.exists(file):
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return pd.read_csv(file)
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return None;
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#读取csvlog数据
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def GetCsvData(logtype:LogType, eventtypename, date):
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path = CsvPath[logtype.name] if logtype.name in CsvPath.keys() else None
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if path == None:
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return None
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return ReadCsv(path, eventtypename, date)
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#读取csvlog数据 带时间偏移
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def GetCsvDataShift(logtype:LogType, eventtypename, date, shift = 5):
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curdatetime = DateToTime(date)
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startime = curdatetime + datetime.timedelta(hours = 5)
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endtime = startime + datetime.timedelta(hours = 24)
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data1 = GetCsvData(logtype, eventtypename, TimeToDate(startime))
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data1 = data1[data1["timeStamp"] >= int(startime.timestamp())]
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data2 = GetCsvData(logtype, eventtypename, TimeToDate(endtime))
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data2 = data2[data2["timeStamp"] < int(endtime.timestamp())]
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return pd.concat([data1, data2])
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def DateToTime(date, day = 0):
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time = datetime.datetime.strptime(date, '%Y-%m-%d')
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if day != 0:
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delta = datetime.timedelta(days=day)
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time = time + delta
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return time
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def TimeToDate(time:datetime):
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return time.strftime("%Y-%m-%d")
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def GetDateNext(time:datetime, day = 0):
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delta = datetime.timedelta(days=day)
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time = time + delta
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return TimeToDate(time)
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def GetDateStrNext(date, day):
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time = DateToTime(date, day)
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return TimeToDate(time)
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# def ReadCsv(path, name):
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# file = path + "/" + name + ".csv"
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# data = pd.read_csv(file)
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# return data;
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# def AnalyzeOnline():
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# player_snapshot = ReadCsv(TA_PATH, "8月1号玩家快照")
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# mainline_mission = ReadCsv(TA_PATH, "8月1号战斗记录")
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# online_time = ReadCsv(TA_PATH, "核心用户在线时长")
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# #排序去重，保留最大通过数
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# player_snapshot = player_snapshot.sort_values(by=['Uid', 'mainline'])
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# snapshot = player_snapshot.drop_duplicates(subset=["Uid"], keep='last',inplace=False)
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# #统计各个副本驻留
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# data = pd.merge(snapshot, online_time, on = 'Uid', how="left")
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# group_data = data.groupby(by=['mainline'])['time'].agg([
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# ("count", np.size),
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# ("total", np.sum),
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# ("avg", np.mean)
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# ]).reset_index()
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# group_data.to_csv("./out/1.csv")
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# mainline_mission = player_snapshot.sort_values(by=['Uid', 'mainline'])
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