def checkContent(self, content_):
_content = content_
_lines = _content.split("\n")
_count = 0
for _line in _lines:
_count += 1
_oneLineReturnReg = re.search(r';[ \t]*return ', _line)
if _oneLineReturnReg:
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"有一行内多个逻辑，其中有return的情况发生 : " + _oneLineReturnReg.group(0)
)
_returnNotAtStart = re.search(r'^(.*[^ ^\t]) return ', _line)
if _returnNotAtStart:
_prefix = _returnNotAtStart.group(1)
if re.search(r'case .*:', _prefix):
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"return 并不是新行起始 case : " + _returnNotAtStart.group(0)
)
elif not _prefix.endswith("yield"):
if not (_prefix.find('\'') > 0 or _prefix.find('"') > 0):
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"return 并不是新行起始 : " + _returnNotAtStart.group(0)
)
def dataPathValidation(self, dataPath_: str):
if dataPath_.find("..") >= 0:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"数据路径不能包含..")
return False
elif dataPath_.find("\n") >= 0 or dataPath_.find("\r") >= 0:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"数据路径不能包含 换行")
return False
return True
def runExcel(self,
excelPath_: str,
pwd_: str,
cmdDict_: dict = {},
sheetName_: str = None):
# cmdUtils.removeMacXattr(excelPath_)# 修改 excel 权限
# sys.exit(1)
# Excel 依旧权限不够，强制重新开启 Finder。
cmdLogUtils.log("\n1.解析Excel : " + excelPath_ + "\n")
_currentWorkBook = WorkBook()
_currentWorkBook.initWithWorkBook(excelPath_)
# 是否执行过
_isExecute = False
# 循环Sheet页
for _sheetName in _currentWorkBook.sheetDict:
if sheetName_: # 有指定Sheet
if not _sheetName == sheetName_: # 不是指定的Sheet
continue # 找下一个
_isExecute = True # 执行
_sheet = _currentWorkBook.sheetDict[_sheetName]
if _sheet.sheetType != SheetType.CMD:
self.info.raiseERR(pyUtils.getCurrentRunningFunctionName() +
"\n" + "ExcelApp -> runExcel : " +
_sheetName + " 不是 CMD 类型")
print(" " * 4 + str(_sheetName) + " 配置解析中...")
_sheetJsonDict = _sheet.toJsonDict()
print(" " * 4 + str(_sheetName) + " 配置解析成功!")
if ("dGlobalDict" in _sheetJsonDict) and ("lProcessSteps"
in _sheetJsonDict):
_globalDict = _sheetJsonDict["dGlobalDict"] # 全局参数
_cmdInfoDict = {
"__folder__": os.path.dirname(excelPath_),
"__pwd__": pwd_,
"__time__": timeUtils.nowTimeStamp()
}
for _key in _globalDict:
_value = _globalDict[_key] # 遍历参数，获取值
_globalDict[_key] = strUtils.replaceKeyToValueInTemplate(
_cmdInfoDict, _value) # 将运行环境替换到全局变量中
jsonUtils.mergeAToB(cmdDict_, _globalDict) # 命令行覆盖掉参数
self.runServiceByJsonDict(_sheetJsonDict)
break # 只执行出现的第一个WORKFLOW页
else:
self.info.raiseERR(pyUtils.getCurrentRunningFunctionName() +
"\n" + "ExcelApp -> runExcel : " +
_sheetName +
" 参数配置必须包含 dGlobalDict lProcessSteps")
if sheetName_ and not _isExecute:
print("待执行功能 : " + sheetName_ + " 不存在于当前Excel中")
def create(self):
if self._isDestory:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"is already destory ~ !")
if self._isCreated:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"is already _isCreated ~ !")
self._isCreated = True
# 累计 Base 的对象
self.app.baseCount = self.app.baseCount + 1
self.getRunningBaseObjectListBelongToThisClass().append(self)
def getSubClassObject(self, subClassName_: str):
_subObject: BaseInService = self.sm.serviceProvider.getServiceSubObject(self, subClassName_)
if _subObject:
# 服务中创建的子对象，都必须继承自Base，便于统计管理
if not isinstance(_subObject, BaseInService):
self.raiseError(pyUtils.getCurrentRunningFunctionName(), "subClassObject is not extends from BaseInService")
# 服务中创建的子对象，不能是服务，免得复制粘贴代码导致的基类使用错误
if isinstance(_subObject, BaseService):
self.raiseError(pyUtils.getCurrentRunningFunctionName(), "subClassObject is BaseService")
_subObject.create()
return _subObject
else:
return None
def doExcelFunc(self, sFunctionName_: str, dParameters_: dict):
if hasattr(self, sFunctionName_): # 使用反射
_function = getattr(self, sFunctionName_)
_function(dParameters_)
else:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
" excel 不存在这个方法 : " + sFunctionName_)
def checkDeleteFolder(self, deleteFolderPath_: str):
# 判断是否正在删除根目录。。。
if deleteFolderPath_.index(os.sep) < 0:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
deleteFolderPath_ + " : 注意！你要删除哪里？")
sys.exit(1)
else:
_deleteSplitLength = len(deleteFolderPath_.split(os.sep)) - 2
if _deleteSplitLength <= 5:
# 一般本机的目录结构。为了不错误的删除了内容，进行了一次强制长度判断。太短的路径，不会进行删除
# /盘符/子盘目录/自定义分类/ -- 移动硬盘的情况
# /Users/用户/分类(Download、desktop)/自定义分类/ -- 本机目录的情况 <以这个为安全层级数，防止误删除>
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
" : 路径有点儿短，防错误路径，不予执行。。。 : \n " + deleteFolderPath_)
sys.exit(1)
def test_flatMap(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
_lines = self.sc.parallelize(["hello world", "hi"])
# flatMap 得到了一个由各列表中的元素组成的 RDD， 而不是一个由列表组成的 RDD
_words = _lines.flatMap(lambda line: line.split(" ")).collect()
for _word in _words:
print("%s " % _word)
# 读取json文件，返回一个二元组(文件路径,文件内容)
_jsonRDD = self.sc.wholeTextFiles(self.testJsonFilePath)
# 读取每一行json信息，将二元组的第二项，作为字符串解析成Json对象，将其中的 activityInfo 作为新 RDD 的元素。
def _getActivityInfoFunc(jsonInfoKV_):
_jsonValue = jsonInfoKV_[1]
_activityInfoDict = json.loads(_jsonValue)["activityInfo"]
return _activityInfoDict
_json_activityInfo_RDD = _jsonRDD.flatMap(
lambda _jsonInfoKV: (_getActivityInfoFunc(_jsonInfoKV)))
# 去重
_json_activityInfo_RDD.distinct()
# RDD 转 DF
_json_activityInfo_DF = self.spark.createDataFrame(
_json_activityInfo_RDD)
# 创建临时表
_json_activityInfo_DF.registerTempTable("activityInfo")
_resultsRDD = self.sqlCtx.sql(
"SELECT startTime.low,endTime.low FROM activityInfo WHERE id = 300001L"
)
for _result in _resultsRDD.collect():
print("_result = " + str(_result))
def dataChanged(self):
_arr: list = []
_firstValue: str = self.getRealValue(self.firstValue)
_arr.append(_firstValue)
_arr.append(self.compareType)
_length: int = len(self.secondArr)
for _idx in range(_length):
_arr.append(self.getRealValue(self.secondArr[_idx]))
# 获取比较结果 1-成功，0-失败，-1-无解
_compare_result: int = self.dataCompare(_arr)
if _compare_result == -1:
self.printResult(-1)
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"比较数据无解")
return False, None
if self.displayObject:
if _compare_result == 0:
# 不显示
return True, False
else:
# 显示
return True, True
else:
if _compare_result == 0:
return True, False
elif _compare_result == 1:
return True, True
def test_createSchema(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
# 数据
_jsonDatas = [{
'a': 'aaa',
'b': 'bbb',
'c': 'ccc'
}, {
'a': 'aaaa',
'b': 'bbbb',
'c': 'cccc',
'd': 'dddd',
'e': 'eeee'
}]
_jsonDatas = [json.dumps(_jsonDict) for _jsonDict in _jsonDatas]
# 已知结构
schema = ['a', 'b', 'c', 'd']
fields = [
StructField(_fieldName, StringType(), True)
for _fieldName in schema
]
schema = StructType(fields)
rdd = self.sc.parallelize(_jsonDatas)
# 已知 结构 会被保留，未知结构会被抛弃
df = self.sqlCtx.read.schema(schema).json(rdd)
for data in df.collect():
print("data = " + str(data))
df.registerTempTable("tempTable")
_resultsRDD = self.sqlCtx.sql("SELECT c,d FROM tempTable")
for _result in _resultsRDD.collect():
print("_result = " + str(_result))
def sample_array_operate_slice(self):
print(self.className + " - " + pyUtils.getCurrentRunningFunctionName() + " ------------------ -")
# x[start:stop:step]
# 一维数组
x = np.arange(10)
print('x[:5] = ' + str(x[:5])) # 前五个元素
print('x[5:] = ' + str(x[5:])) # 索引五之后的元素
print('x[4:7] = ' + str(x[4:7])) # 中间的子数组
print('x[::2] = ' + str(x[::2])) # 每隔一个元素
print('x[1::2] = ' + str(x[1::2])) # 每隔一个元素，从索引1开始
# 当步长为负数的时候，可以理解成 start 参数和 stop 参数默认是被交换的
print('x[::-1] = ' + str(x[::-1])) # 所有元素，逆序的
print('x[5::-2] = ' + str(x[5::-2])) # 从索引5开始每隔一个元素逆序
# 多维子数组
np.random.seed(0)
x2 = np.random.randint(10, size=(3, 4))
print('x2 = \n' + str(x2))
print('x2[:2, :3] = \n' + str(x2[:2, :3])) # 两行，三列
print('x2[:3, ::2] = \n' + str(x2[:3, ::2])) # 所有行，每隔一列
print('x2[::-1, ::-1] = \n' + str(x2[::-1, ::-1])) # 子数组维度也可以同时被逆序
# 获取数组的行和列
print('x2[:, 0] = ' + str(x2[:, 0])) # 获取 第一 列
print('x2[0, :] = ' + str(x2[0, :])) # 获取 第一 行 等价于 x2[0]
# 抽取的是子视图，而不是副本，所以，修改这个子视图，就是在修改这个数组
x2_sub = x2[:2, :2]
print('x2_sub = \n' + str(x2_sub)) # 前两行，前两列 的视图
# 要创建数组的副本，使用copy()方法
x2_sub_copy = x2_sub.copy()
print('x2_sub_copy = \n' + str(x2_sub_copy))
# 两个数组是否值一致
if x2_sub.all() == x2_sub_copy.all():
print("x2_sub and x2_sub_copy value are all the same")
# 两个对象的地址不一致
if not id(x2_sub) == id(x2_sub_copy):
print("x2_sub and x2_sub_copy are not the same one")
def analysePrefabComponentRelationShip(self):
_prefabPathDict = folderUtils.getFilePathKeyValue(self._prefabFolder, [".prefab"])
for _, _prefabPath in _prefabPathDict.items():
_prefabFileName = fileUtils.justName(_prefabPath)
# prefab 文件 对应 Component 的 列表
self.prefabComponentDict[_prefabFileName] = []
# prefab 的 列表
_prefabList = fileUtils.dictFromJsonFile(_prefabPath)
# prefab 内容
for _i in range(len(_prefabList)):
# prefab 的 每一个 元素
_elementDict = _prefabList[_i]
# 每一个 元素 的 类型
_elementType = _elementDict['__type__']
# 组件 和 加密字符串 的 对应字典。
if _elementType in self.componentEncryptClassDict.keys():
_componentJSName = self.componentEncryptClassDict[_elementType] # 转换成 js 脚本名
self.prefabComponentDict[_prefabFileName].append(_componentJSName) # 获取 Prefab 上的 js Component 脚本
_keyList = []
for _key, _list in self.prefabComponentDict.items():
if len(_list) == 0:
_keyList.append(_key)
for _key in _keyList:
del self.prefabComponentDict[_key]
for _key, _list in self.prefabComponentDict.items():
if _key != _list[0]:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
" 界面名 和 component 名称 不一致 " + _key + " : " + _list[0])
def destroy(self):
if not self._isCreated:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"is not create ~ !")
self._isDestory = True
# 清除累计
self.app.baseCount = self.app.baseCount - 1
self.app.runtimeObjectInfoDict[self.fullClassPath].remove(self)
def convertLayerName(self, layerName_: str):
_layerName = layerName_
if _layerName.find(' ') > 0 or _layerName.find(
'"') > 0 or _layerName.find('\'') > 0 or _layerName.find(
'.') > 0 or _layerName.find('/') > 0:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"层名错误 : " + _layerName)
return _layerName
def sample_relation_with_python(self):
print(self.className + " - " + pyUtils.getCurrentRunningFunctionName() + " ------------------ -")
pyList = [3.14, 2, 3, 4]
npArray = np.array(pyList, dtype='float32')
print('npArray = ' + str(npArray))
npArray2 = np.array([range(i, i + 3) for i in [2, 4, 6]])
print('npArray2 = \n' + str(npArray2))
def sample_arr_transpose(self):
print(self.className + " - " + pyUtils.getCurrentRunningFunctionName() + " ------------------ -")
_rowCount = 4
_colCount = 3
_indexArr = np.arange(0, _rowCount * _colCount).reshape(_rowCount, _colCount)
print('_indexArr = \n' + str(_indexArr))
print('_indexArr.T = \n' + str(_indexArr.T))
print('np.dot(_indexArr,_indexArr.T) = \n' + str(np.dot(_indexArr, _indexArr.T)))
def test_sparkStreaming(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
self.getSubClassObject("SparkStreaming")
self.getSubClassObject("Kafka")
# self.showCurrentBaseObejctsInfo()
self.sparkStreaming.destroy()
self.kafka.destroy()
def test_jsonStrToDataFrame(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
_jsonDataFrame = self.spark.read.json(self.testJsonFilePath)
_jsonDataFrame.printSchema()
_jsonDataFrame.show()
_activityInfo = _jsonDataFrame.selectExpr("activityInfo")
_activityInfo.show()
def isNaN(dataCompareObject_: DataCompare, valueC1_: str, valueC2_: str, valueC3_: str = None):
if (
strUtils.is_number(valueC1_) and
strUtils.is_number(valueC2_)
):
_valueArr = [float(valueC1_), float(valueC2_)]
if valueC3_:
if not strUtils.is_number(valueC3_):
dataCompareObject_.raiseError(pyUtils.getCurrentRunningFunctionName(),
"WARN : 进行比较的数值，非数字类型无法比较 " + _mode + " : " + valueC1_ + "," + valueC2_ + "," + valueC3_)
return None
else:
_valueArr.append(float(valueC3_))
return _valueArr
else:
dataCompareObject_.raiseError(pyUtils.getCurrentRunningFunctionName(),
"WARN : 进行比较的数值，非数字类型无法比较 " + _mode + " : " + valueC1_ + "," + valueC2_)
return None
def test_map(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
_numsRDD = self.sc.parallelize([1, 2, 3, 4])
# map() 接收一个函数， 把这个函数用于 RDD 中的每个元素， 将函数的返回结果作为结果
_squaredRDD = _numsRDD.map(lambda x: x * x)
# 输出每一个元素，平方数
for _num in _squaredRDD.collect():
print("%i " % _num)
def getAllRelationTableInfo(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
# 读取sql内容
_sqlStr = fileUtils.readFromFile(self.sqlFilePath)
# print('_sqlStr = ' + str(_sqlStr))
# _sqlWithOutComment = codeUtils.removeComment("sql", _sqlStr)
# print('_sqlWithOutComment = ' + str(_sqlWithOutComment))
# # 去掉注释切分Sql输出查看每一个SQL
# _sqlList = _sqlWithOutComment.split(";")
# for _i in range(len(_sqlList)):
# print('_sqlList[_i] = \n' + str(_sqlList[_i]))
# 获取表和表中索取字段
_whatFromWhereInfo = self.belongToService.getSelectWhatFromWhere(
_sqlStr)
# 获取要执行的Sql列表
_sqlList = self.belongToService.whatFromWhereToQuerySqlList(
_whatFromWhereInfo)
# 腾讯 链接信息
_txPrestoInfo = dict({
'host': 'ip',
'port': 'port',
'catalog': 'hive',
'serverName': 'TengXun',
'schema': 'olap'
})
# 执行的sql列表输出，链接 presto 来执行这些 Sql 语句
for _i in range(len(_sqlList)):
_querySql = _sqlList[_i]
_result, _errList = dataUtils_presto.executePrestoSQL(
_txPrestoInfo, _querySql)
if _errList:
print(_querySql)
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
str(_errList))
else:
if len(_result) == 0:
print(_querySql)
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
'WARNING : no data')
def convertToUnityUIJson(self, layerDict_: dict, unityGameObject_: dict):
if not layerDict_["isVisible"]:
return
if not "layerList" in layerDict_:
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"不是层 : " + layerDict_["name"] + " - " +
layerDict_["realName"] + " - " + str(layerDict_["isVisible"]))
_currentIdx = 0
unityGameObject_["children"] = []
_layerDictList = layerDict_["layerList"]
if _layerDictList:
for _layerDict in _layerDictList:
if not _layerDict["isVisible"]:
continue
_unityLayerGameObject = {}
_unityLayerGameObject["name"] = _layerDict["name"]
_unityLayerGameObject["realName"] = _layerDict["realName"]
_unityLayerGameObject["x"] = _layerDict["offsetX"]
_unityLayerGameObject["y"] = _layerDict["offsetY"]
_unityLayerGameObject["opacity"] = _layerDict["opacity"]
_unityLayerGameObject["bbox"] = {}
_unityLayerGameObject["bbox"]["left"] = _layerDict["bbox"][
"left"]
_unityLayerGameObject["bbox"]["top"] = _layerDict["bbox"][
"top"]
_unityLayerGameObject["bbox"]["right"] = _layerDict["bbox"][
"right"]
_unityLayerGameObject["bbox"]["bottom"] = _layerDict["bbox"][
"bottom"]
# 不同类型
if str(_layerDict["name"]).startswith("pre_"):
_unityLayerGameObject["type"] = "prefab"
_subUIName = str(
_layerDict["name"]).split("_")[1] # 切出子ui名称
self.analysePsdFile(_subUIName)
elif str(_layerDict["name"]).startswith("pic_"):
_unityLayerGameObject["type"] = "sprite"
elif str(_layerDict["name"]).startswith("txt_"):
_unityLayerGameObject["type"] = "text"
_unityLayerGameObject["text"] = _layerDict["text"]
_unityLayerGameObject["fontSize"] = _layerDict["fontSize"]
else:
_unityLayerGameObject["type"] = "gameObject"
self.convertToUnityUIJson(_layerDict,
_unityLayerGameObject)
# 获取层级
_unityLayerGameObject["index"] = _currentIdx
_currentIdx += 1
# 记录节点
unityGameObject_["children"].append(_unityLayerGameObject)
def IconResize(self, dParameters_):
_sourceFolder = sysUtils.folderPathFixEnd(dParameters_["sourceFolder"])
_targetFolder = sysUtils.folderPathFixEnd(dParameters_["targetFolder"])
_sizeList = dParameters_["sizeList"]
_targetType = dParameters_["type"]
_sourcePicList = folderUtils.getFilterFilesInPath(
_sourceFolder, [".jpg", ".png"])
_imList = [] # image信息列表
for _sourcePicPath in _sourcePicList: # 要放缩的Icon
_im = Image.open(_sourcePicPath) # 加载内存，方便获取信息
_sizeCompareValue = _im.width / _im.height
if _sizeCompareValue > 1.1 or _sizeCompareValue < 0.9: # 校验宽高比，差太多提示一下
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
_sourcePicPath + " 作为图标，宽高比相差有点儿大")
_imList.append(_im)
_imList.sort(key=lambda _im: _im.width, reverse=True) # 按照由大到小的顺序
_sizeList.sort(key=lambda _size: _size, reverse=True) # 由大到小
if _sizeList[0] > _imList[0].width:
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"索取大小的最大值(" + str(_sizeList[0]) + ")大于给与大小的最大值(" +
str(_imList[0].width) + ")")
# Image实例.thumbnail((宽, 高))会改变Image实例本身，所以，又大到小进行逐步变化。
# 由大到小的，将每一个小于自己尺寸的ICON生成一遍。小的会覆盖大的生成的ICON，最后达到想要的结果。
for _im in _imList: # 先比大的，后比小的，小于等于最接近的会最后成为目标图片
for _size in _sizeList: # 放缩的目标值
if _size <= _im.width: # 目标值小于当前图片的大小。就使用者张图
_targetIconPath = os.path.join(
_targetFolder, 'Icon-' + str(_size) + _targetType)
_im.thumbnail(
(_size, _size)
) # target Image 在内存内存中大小会变小，下一个循环比他要小。所以，_sizeList必须是倒叙的
if _targetType == ".png":
_im.save(_targetIconPath)
elif _targetType == ".jpg":
_im.save(_targetIconPath, quality=95, subsampling=0)
else:
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
_targetType + " 格式无效，目标格式，只能是.png和.jpg中的一种")
def getRunningBaseObjectListBelongToThisClass(self):
_runtimeObjectInfoDict: dict = self.app.runtimeObjectInfoDict
if not self.fullClassPath:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"self.fullClassPath is None")
_currentObjectList: List[Base] = None
if self.fullClassPath in _runtimeObjectInfoDict:
_currentObjectList = _runtimeObjectInfoDict[self.fullClassPath]
else:
_currentObjectList = []
_runtimeObjectInfoDict[self.fullClassPath] = _currentObjectList
return _currentObjectList
def changeDataPath(self, dataPath_: str):
_dataPath: str = dataPath_
if _dataPath.find("this.") == 0:
if not self.displayObject:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"DataBase " + _dataPath + " 为UI数据路径，没有绑定是哪个UI")
return None
else:
# 通过自己绑定的显示对象，获取，显示对象所处的数据路径
_disPath = disUtils.getDisPath(self.displayObject)
_dataPath = _disPath + "." + _dataPath.split("this.")[1]
return _dataPath
def test_createPairRDD(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
_lines = self.sc.parallelize(
["key1 value1", "key2 value2", "key2 value22", "key3 value3"])
# 转换成键值对儿
_pairs = _lines.map(lambda _item:
(_item.split(" ")[0], _item.split(" ")[1]))
# 值字符串长6以内的保留
_pairs = _pairs.filter(lambda _keyValue: len(_keyValue[1]) <= 6)
# 输出满足条件的每一个键值
for (_key, _value) in _pairs.collect():
print(str(_key) + " = " + str(_value))
def onDataChange(self, dataPath_: str):
_value = self.sm.dc.gv(dataPath_)
if isinstance(_value, str):
# print('dataPath_ : ' + dataPath_ + " : " + _value)
if dataPath_ in self.dataEventDict:
_dataBases: List[DataBase] = self.dataEventDict[dataPath_]
if _dataBases and len(_dataBases) > 0:
for _i in range(len(_dataBases)):
_dataBases[_i].dataChanged()
else:
if isinstance(_value, list):
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
"<" + str(dataPath_) + "> 转换过后不能可有数组")
def test_accumulator(self):
print(self.className + " - " +
pyUtils.getCurrentRunningFunctionName() + "------------------")
def accumulatorFunc():
global blankLines
blankLines += 1
for i in range(10):
accumulatorFunc()
global blankLines
print("blankLines = " + str(blankLines))
def getClassListWithNameSpace(self, path_: str):
_lines = fileUtils.linesFromFile(path_)
_lineLength = len(_lines)
_nameSpaceDictList = []
for _lineIdx in range(_lineLength):
_line = _lines[_lineIdx]
_nameSpaceStr = r'^\s*namespace\s+([a-zA-Z0-9_\.]+)\s+\{'
_nameSpaceReg = re.search(_nameSpaceStr, _line)
if _nameSpaceReg:
_nameSpace = _nameSpaceReg.group(1)
_nameSpaceDict = {}
_nameSpaceDict["namespace"] = _nameSpace
_nameSpaceDictList.append(_nameSpaceDict)
# 从下一行开始找，找到第一个没有闭合的 },就是当前 { 对应的
_lineAndCharIdx = self.belongToService.curlyBraces.getCloseCurlyBraces(
_lineIdx + 1, _lines)
if not _lineAndCharIdx == None:
_closeLine = _lines[_lineAndCharIdx[0]]
if not _closeLine.strip() == "}":
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
" <closed,but not }> : " + _closeLine)
else:
# 正确情况下记录
_classDictList = self.getClassList(
_lines, _lineIdx, _lineAndCharIdx[0])
for _classDict in _classDictList:
_nameSpaceDict[
_classDict["className"]] = _classDict
del _classDict["className"]
_lineIdx = _lineAndCharIdx[0]
else:
self.raiseError(pyUtils.getCurrentRunningFunctionName(),
" : not close")
else:
if _line.find("namespace ") >= 0:
print("namespace Warning : " + str(_line))
return _nameSpaceDictList
def adjustIfElseReturn(self, content_):
_content = content_
_oneLineReg = r'^(.*)(if|else if)\s*\((.*)\)\s*return\s+(.*);$'
matches = re.finditer(_oneLineReg, _content, re.MULTILINE)
for matchNum, match in enumerate(matches, start=1):
_prefix = match.group(1)
if not _prefix.strip() == "":
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"if/else if 和 return 成行，前缀必须是空白 : " + match.group(0)
)
_blank = _prefix
_ifOrIfElse = match.group(2)
_ifContent = match.group(3)
_returnContent = match.group(4)
_targetCode = _blank + _ifOrIfElse + "(" + _ifContent + "){" + "\n"
_targetCode += _blank + " return " + _returnContent + ";" + "\n"
_targetCode += _blank + "}"
_content = _content.replace(match.group(0), _targetCode)
_oneLineReg = r'^(.*)else\s*return\s+(.*);$'
matches = re.finditer(_oneLineReg, _content, re.MULTILINE)
for matchNum, match in enumerate(matches, start=1):
_prefix = match.group(1)
if not _prefix.strip() == "":
# 不是 #else 这样的宏
if not _prefix.startswith("#"):
self.raiseError(
pyUtils.getCurrentRunningFunctionName(),
"else 和 return 成行，前缀必须是空白 : " + match.group(0)
)
else:
_blank = _prefix
_returnContent = match.group(2)
_targetCode = _blank + "else{" + "\n"
_targetCode += _blank + " return " + _returnContent + ";" + "\n"
_targetCode += _blank + "}"
_content = _content.replace(match.group(0), _targetCode)