字符串的壓縮和解壓
處理前
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處理后
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處理方式有兩種 一種是文件方式 一種是直接在內存中以二進制的方式直接進行處理
文件流方式處理
import base64 import json import zipfile file = open('11.txt', 'r', encoding='utf-8') info = json.load(file) # print(info["result"]) b=info["result"] # bytestream = base64.standard_b64decode(b) print("----------bas64解碼------------------------") print(bytestream) from io import StringIO from io import BytesIO print("-------------zip解壓----------------") fio = BytesIO(bytestream) myzip = zipfile.ZipFile(file=fio) print(myzip.read(myzip.namelist()[0]).decode("utf-8")) StringIO和BytesIO的區別: StringIO是僅用於文本的內存中流. 如果是字節實例就需要改用BytesIO.
import base64 import json import zipfile file = open('11.txt', 'r', encoding='utf-8') info = json.load(file) # print(info["result"]) b=info["result"] # bytestream = base64.standard_b64decode(b) print("----------bas64解碼------------------------") print(bytestream) from io import StringIO from io import BytesIO print("-------------zip解壓----------------") # fio = BytesIO(bytestream) # myzip = zipfile.ZipFile(file=fio) # print(myzip.read(myzip.namelist()[0]).decode("utf-8")) with open("11.zip", "wb") as f: f.write(bytestream) with zipfile.ZipFile("11.zip") as z: print(z.read(z.namelist()[0]).decode("utf-8"))
開發實例
if pageIndex == 1: res = self.es.search(body=body,scroll='1m',size=pageSize) scroll_size = res['hits']['total'] scroll_id = res['_scroll_id'] else: res = self.es.search(body=body, scroll='1m', size=pageSize) scroll_size = res['hits']['total'] scroll_id = res['_scroll_id'] while pageIndex -1 > 0: res = self.es.scroll(scroll_id=scroll_id, scroll='1m') pageIndex-=1 reslist=[] for re in res["hits"]["hits"]: re = json.loads(json.dumps(re["_source"])) reslist.append({"csrq":self.formatDate(re["logtime"]),"yymc":re["appname"],"zt":re["success"],"ip":re["hostname"],"type":re["type"],"server":re["serviceId"],"sjz":re["waste_time"],"params":self.convert_base64_zip(re["params"]),"result":self.convert_base64_zip(re["result"])}) data = {'code': 'SUCCESS', 'message': '', 'data': {"total":scroll_size,"list":reslist}} return data def convert_base64_zip(self,oldstr): try: bytestream = base64.standard_b64decode(oldstr) fio = BytesIO(bytestream) myzip = zipfile.ZipFile(file=fio) return myzip.read(myzip.namelist()[0]).decode("utf-8") except Exception as e: return "無法解析異常數據"
from time import clock starttime = clock() data = eslog.serviceLogsdata(appname,startTime,endTime,servicename,pageIndex,pageSize) endtime = clock() print("耗時: %s秒" %(str(endtime-starttime)))
其它實例
#二進制流不僅可以操作字符串 還可以是任何類型的文件數據 from io import BytesIO pp = Image.open(BytesIO(response.content)) from PIL import Image import os, sys import requests from io import StringIO url = "https://cdn.discordapp.com/avatars/247096918923149313/34a66572b9339acdaa1dedbcb63bc90a.png?size=256" response = requests.get(url) pp = Image.open(StringIO(response.content)) pp = Image.open(BytesIO(response.content)) pp.save("image1.png") pp = Image.open("image2c.png").convert("LA") pp.save("image2c.png") background = Image.open("image1.png").convert("RGBA") foreground = Image.open("image2c.png").convert("RGBA") foreground = foreground.resize((256, 256), Image.BILINEAR) background.paste(foreground, (125, 325), foreground) background.show()
python實現對鍵是否存在的判斷
reslist=[] for re in res["hits"]["hits"]: re = json.loads(json.dumps(re["_source"])) reslist.append({"logtime":self.formatDate(re["logtime"]),"appname":re["appname"],"success":re.get("success","無"),"hostname":re["hostname"],"serviceId":re["serviceId"],"waste_time":re["waste_time"],"params":self.convert_base64_zip(re.get("params","None")),"result":self.convert_base64_zip(re.get("result","None"))}) def convert_base64_zip(self,oldstr): if oldstr == "None": return "無" try: bytestream = base64.standard_b64decode(oldstr) fio = BytesIO(bytestream) myzip = zipfile.ZipFile(file=fio) return myzip.read(myzip.namelist()[0]).decode("utf-8") except Exception as e: return "解壓發生異常 %s" %(oldstr)