Exemplo n.º 1
0
def getStockListData(index, code, avgPE):
    page = 1
    listData = getListData(code, page)
    if listData is None:
        writeWarningLog("没有获取到第" + str(page) + "页的股票数据")
        return

    result = []
    dicDuplicate = {}
    result.append(
        unicode("{0},{1},{2},{3},{4},{5},{6},{7},{8}\n").format(
            "代码", "名称", "PE", "E2017", "E2018", "E2019", "复合", "排名",
            "PEG").encode('gbk'))

    needFetchNextPage = handleListData(listData["rank"], avgPE, result,
                                       dicDuplicate)

    totalPages = listData["pages"]
    if needFetchNextPage is None:
        for i in range(2, totalPages + 1):
            listData = getListData(code, i)
            if listData is None:
                writeWarningLog("没有获取到第" + str(i) + "页的股票数据")
                return

            needFetchNextPage = handleListData(listData["rank"], avgPE, result,
                                               dicDuplicate)
            if (needFetchNextPage == -1):
                break

    saveFile("bigData_" + code + ".csv", result)
    saveToDb(index + 1, result)
Exemplo n.º 2
0
def getHouseList(append=False):
    geoCodes = getGeoCodes(u'天津市义兴里|天津市海光寺|天津市咸阳路')
    geoCodeHome = geoCodes[0]  # 义兴里小区坐标
    geoCodeHerOffice = geoCodes[1]  # 海光寺坐标
    geoCodeMyOffice = geoCodes[2]  # 咸阳路坐标

    tableData = []
    if not append:
        tableData.append(
            unicode("{0},{1},{10},{2},{3},{9},{4},{11},{5},{6},{7},{8}\n").format("小区", "街道", "总价(万)", "单价(元/平米)",
                                                                                  "距离",
                                                                                  "其他信息", "地铁信息",
                                                                                  "her",
                                                                                  "me", "发布时间", "所属区域", "车程时间").encode(
                'gbk'))
        saveFile("houselist1.csv", tableData, 'a')
    page = 1
    listInfo = getHouseListByPage(page)
    totalPages = listInfo[0]

    i = 0
    while page <= totalPages:
        print page
        i = handleHouseList(listInfo[1], geoCodeHome, geoCodeHerOffice, geoCodeMyOffice, tableData, i)
        page = page + 1
        listInfo = getHouseListByPage(page)
        time.sleep(5)
Exemplo n.º 3
0
def updateNewGoodList():
    weekday = datetime.now().weekday()
    lastSaturday = (datetime.now() +
                    timedelta(days=(-2 - weekday))).strftime('%Y-%m-%d')
    saturday = (datetime.now() +
                timedelta(days=(5 - weekday))).strftime('%Y-%m-%d')

    for i in range(1, 9):
        lastWeekSql = unicode(
            "select code from b_peg where dataType={0} and date='{1}'").format(
                i, lastSaturday)
        oldData = select(lastWeekSql)

        dic = {}
        for item in oldData:
            dic[item[0]] = 1

        newList = select(
            unicode(
                "select code,name,pe,peg from b_peg where dataType={0} and date='{1}'"
            ).format(i, saturday))

        result = []
        result.append(
            unicode("{0},{1},{2},{3}\n").format("代码", "名称", "PE",
                                                "PEG").encode('gbk'))

        for item in newList:
            if item[0] not in dic:
                result.append(
                    unicode("{0},{1},{2},{3}\n").format(
                        item[0], item[1], item[2], item[3]).encode('gbk'))
        saveFile("newGoodList_{0}.csv".format(i), result)
Exemplo n.º 4
0
def getStockListData(index, type, avgPE):
    page = 1
    listData = getListData(type, page)
    if listData is None:
        writeWarningLog("没有获取到第" + str(page) + "页的股票数据")
        return

    result = []
    dicDuplicate = {}
    result.append(
        unicode("{0},{1},{2},{3},{4},{5},{6},{7}\n").format(
            "代码", "名称", "PE", "PEG", "预测PEG", "No1(代码:名称:PEG)",
            "No2(代码:名称:PEG)", "No3(代码:名称:PEG)").encode('gbk'))

    needFetchNextPage = handleListData(listData, avgPE, result, dicDuplicate)

    if needFetchNextPage is None:
        for i in range(2, 200):
            listData = getListData(type, i)
            if listData is None:
                writeWarningLog("没有获取到第" + str(i) + "页的股票数据")
                return

            needFetchNextPage = handleListData(listData, avgPE, result,
                                               dicDuplicate)
            if (needFetchNextPage == -1):
                break

    saveFile("bigData_" + type + ".csv", result)
    saveToDb(index + 1, result)
Exemplo n.º 5
0
def getMSCI():
    msci = loadJsonConfig(
        os.path.abspath(os.path.join(os.getcwd(), "../config/msci.json")))
    msciResult = handleSpecifiedStock(msci)
    saveFile("msci.csv", msciResult)
    saveToDb(8, msciResult)
Exemplo n.º 6
0
def getSh300():
    sh300 = loadJsonConfig(
        os.path.abspath(os.path.join(os.getcwd(), "../config/sh300.json")))
    sh300Result = handleSpecifiedStock(sh300)
    saveFile("sh300.csv", sh300Result)
    saveToDb(7, sh300Result)
Exemplo n.º 7
0
                    unicode("{0},{5},{1},{2},{3},{4}\n").format(
                        code, '250down', yesterdayPrice, realTimePrice, ma250,
                        name).encode('gbk'))
                writeLog(
                    unicode(
                        "[250down] code:{0}, yesterdayPrice: {1}, realTimePrice: {2}, ma250: {3}"
                    ).format(code, yesterdayPrice, realTimePrice, ma250))
            i = i + 1
        except Exception, e:
            writeErrorLog(
                unicode("checkAvgLineFailed, code:{0}, i:{1}, e:{2}").format(
                    code, i, str(e)))
            i = i + 1
        time.sleep(0.5)

    saveFile(fileName, result)
    if (needSaveToDb):
        saveToDb(result)


def saveToDb(result):
    date = datetime.now()
    weekday = datetime.today().weekday()
    diff = 0 if weekday < 5 else weekday - 4
    date = (date - timedelta(days=diff)).strftime('%Y-%m-%d')

    insertSql = unicode(
        "INSERT INTO s_avgline VALUES(%s,%s,%s,%s,%s,%s,%s,%s)")
    parameters = []
    for i in range(1, len(result)):
        data = result[i].replace("\n", "").decode('GBK').split(',')
Exemplo n.º 8
0
def handleHouseList(houseInfoList, geoCodeHome, geoCodeHerOffice, geoCodeMyOffice, result, i):
    for houseInfo in houseInfoList:
        print houseInfo
        print i
        i = i + 1
        try:
            pattern = re.compile(r'<div class=\"houseInfo\">([\s\S]*?)</div>')
            houseInfoDiv = pattern.findall(houseInfo)[0]

            pattern = re.compile(r'<a[^>]*?>([\s\S]*?)</a>')
            village = pattern.findall(houseInfoDiv)[0].strip()  # 小区名称

            other = re.subn(r'<[span|a][^>]*?>([\s\S]*?)</[span|a]>', '', houseInfoDiv)[0]

            pattern = re.compile(r'<div class=\"positionInfo\">([\s\S]*?)</div>')
            positionInfoDiv = pattern.findall(houseInfo)[0]

            pattern = re.compile(r'<a[^>]*?>([\s\S]*?)</a>')
            street = pattern.findall(positionInfoDiv)[0].strip()  # 街道名称

            pattern = re.compile(r'<span class=\"subway\">([\s\S]*?)</span>')
            subwayInfo = pattern.findall(houseInfo)
            subwayInfo = '' if len(subwayInfo) <= 0 else subwayInfo[0].strip()  # 地铁信息
            lineIndex = subwayInfo.find('线')
            stationIndex = subwayInfo.find('站')
            subway = ''
            if (lineIndex >= 0 and stationIndex >= 0):
                subway = subwayInfo[lineIndex + 3:stationIndex]

            pattern = re.compile(r'<div class=\"totalPrice\"><span>([\s\S]*?)</span>')
            totalPrice = pattern.findall(houseInfo)[0]  # 总价

            pattern = re.compile(r'<div class=\"unitPrice\".*?><span>([\s\S]*?)</span>')
            unitPrice = pattern.findall(houseInfo)[0][6:-10]  # 单价

            pattern = re.compile(r'<div class=\"followInfo\"><span.*?></span>([\s\S]*?)</div>')
            dateInfo = pattern.findall(houseInfo)  # 发布时间
            dateInfo = dateInfo[0].split('/')[2]

            pattern = re.compile(r'<a class=\"img \" href=\"(.*?)\"')
            linkUrl = pattern.findall(houseInfo)[0]

            linkRes = httpGet(linkUrl, {
                'Cookie': 'lianjia_uuid=dfcb3cfc-1367-44d0-ab71-a4371c024f14; _jzqy=1.1497172963.1497172963.1.jzqsr=baidu|jzqct=%E9%93%BE%E5%AE%B6.-; UM_distinctid=15c96766dee1d-02c0d24031f09b-57e1b3c-100200-15c96766def2d0; lianjia_token=2.001caa2ee5666b6ddd0d0707d40582481c; Hm_lvt_efa595b768cc9dc7d7f9823368e795f1=1497173127; select_city=120000; all-lj=6341ae6e32895385b04aae0cf3d794b0; _jzqx=1.1501484606.1501816686.2.jzqsr=tj%2Elianjia%2Ecom|jzqct=/ershoufang/co32sf1ep131/.jzqsr=captcha%2Elianjia%2Ecom|jzqct=/; _jzqckmp=1; Hm_lvt_9152f8221cb6243a53c83b956842be8a=1501566186,1501632151,1501727320,1501816685; Hm_lpvt_9152f8221cb6243a53c83b956842be8a=1501817441; _smt_uid=593d0be2.3137f8c0; CNZZDATA1253477585=1433138464-1497169384-null%7C1501812237; CNZZDATA1254525948=1005085447-1497168099-null%7C1501812362; CNZZDATA1255633284=2082143268-1497171373-null%7C1501817197; CNZZDATA1255604082=911884105-1497168620-null%7C1501813499; _qzja=1.1430239548.1497172962788.1501727321514.1501816685601.1501817428734.1501817441713.0.0.0.87.20; _qzjb=1.1501816685601.6.0.0.0; _qzjc=1; _qzjto=6.1.0; _jzqa=1.3807096351994737700.1497172963.1501727322.1501816686.20; _jzqc=1; _jzqb=1.6.10.1501816686.1; _ga=GA1.2.457334799.1497172965; _gid=GA1.2.1962824039.1501816690; lianjia_ssid=11e953d7-b086-4fcf-a424-b43314c76cca',
                'Host': 'tj.lianjia.com',
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36'})
            pattern = re.compile(r'<div class="areaName">.*?</div>')
            areaDiv = pattern.search(linkRes)

            pattern = re.compile(r'<a.*?>(.*?)</a>')
            aData = pattern.findall(areaDiv.group())

            areaData = '' if aData is None or len(aData) <= 0 else aData[0]

            geoCodeVillage = getGeoCodes(u'天津市{0}'.format(village))[0]  # 小区坐标
            distanceAndTime = getDistanceAndTimeByLngLat(geoCodeHome, geoCodeVillage)  # 路径规划信息,获取距离和时间(自驾)

            babyDirection = getDirectionByLngLat(geoCodeHerOffice, geoCodeVillage)
            babyDirectionStr = '\"'
            for item in babyDirection:
                babyDirectionStr = babyDirectionStr + unicode('{0}\n').format(item)
            babyDirectionStr = babyDirectionStr + '\"'

            meDirection = getDirectionByLngLat(geoCodeMyOffice, geoCodeVillage)
            meDirectionStr = '\"'
            for item in meDirection:
                meDirectionStr = meDirectionStr + unicode('{0}\n').format(item)
            meDirectionStr = meDirectionStr + '\"'

            result.append(
                unicode("{0},{1},{10},{2},{3},{9},{4},{11},{5},{6},{7},{8}\n").format(village, street, totalPrice,
                                                                                      unitPrice, distanceAndTime[0],
                                                                                      other, subway,
                                                                                      babyDirectionStr,
                                                                                      meDirectionStr, dateInfo,
                                                                                      areaData,
                                                                                      distanceAndTime[1]).encode(
                    'gbk'))
            saveFile("houselist1.csv",
                     unicode("{0},{1},{10},{2},{3},{9},{4},{11},{5},{6},{7},{8}\n").format(village, street, totalPrice,
                                                                                      unitPrice,
                                                                                      distanceAndTime[0], other,
                                                                                      subway,
                                                                                      babyDirectionStr,
                                                                                      meDirectionStr, dateInfo,
                                                                                      areaData,
                                                                                      distanceAndTime[1]).encode(
                         'gbk'), 'a')
        except Exception, e:
            traceback.print_exc()
            time.sleep(random.randint(2, 5))