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309 lines
9.5 KiB
309 lines
9.5 KiB
import pymongo
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import xarray_mongodb
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import bson
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import builtins
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import xarray as xr
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from ToolFunction.ToolFunction import get_date
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npTypeDict = {v: getattr(builtins, k) for k, v in np.sctypeDict.items() if k in vars(builtins)}
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npArrayType = type(np.array([0]))
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class MongoDB:
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def __init__(self, mongoClient, mongoDB, date=None) -> None:
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self.mongoClient = mongoClient
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self.mongoDB = mongoDB
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self.xdb = xarray_mongodb.XarrayMongoDB(mongoDB)
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if date is None:
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date= get_date()
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self.set_date(date)
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def _convert_numpy_type(self, data):
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for key in data:
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typeKey = type(data[key])
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if typeKey in npTypeDict:
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data[key] = data[key].item()
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elif typeKey == npArrayType:
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data[key] = data[key].tolist()
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else:
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try:
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data[key] = data[key].item()
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except:
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pass
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return data
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def _break_dataSet(self, dataSet, scanAxis=None):
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if scanAxis is None:
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scanAxis = dataSet.attrs['scanAxis']
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dataArray = dataSet.shotNum
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stackedDataArray = dataArray.stack(_scanAxis=tuple(scanAxis))
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return stackedDataArray
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def set_date(self, date):
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date = date.split("/")
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self.year = int(date[0])
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self.month = int(date[1])
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self.day = int(date[2])
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def create_global(self, shotNum, dataSet=None, date=None):
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if not date is None:
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self.set_date(date)
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data = {
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'year': self.year,
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'month': self.month,
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'day': self.day,
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'shotNum': shotNum,
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'runNum': 0,
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'global_parameters' : {},
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}
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global_parameters = self._convert_numpy_type(dataSet.attrs)
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if not dataSet is None:
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data['global_parameters'].update(global_parameters)
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data = self._convert_numpy_type(data)
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if 'scanAxis' in dataSet.attrs:
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del data['global_parameters']['scanAxis']
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del data['global_parameters']['scanAxisLength']
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scanAxis = dataSet.attrs['scanAxis']
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data['global_parameters'].update(
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{
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key:0
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for key in scanAxis
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}
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)
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stackedDataArray = self._break_dataSet(dataSet)
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stackedDataArray = stackedDataArray.groupby('_scanAxis')
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for i in stackedDataArray:
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stackedDataArray_single = i[1]
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data.update(
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{
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'runNum': int(stackedDataArray_single.item())
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}
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)
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data['global_parameters'].update(
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{
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key: stackedDataArray_single[key].item()
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for key in scanAxis
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}
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)
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if '_id' in data:
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del data['_id']
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self.mongoDB['global'].insert_one(data)
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else:
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self.mongoDB['global'].insert_one(data)
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def _add_data_normal(self, shotNum, runNum, data):
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if runNum is None:
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runNum = 0
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filter = {
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'year': self.year,
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'month': self.month,
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'day': self.day,
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'shotNum': shotNum,
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'runNum': runNum,
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}
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self.mongoDB['global'].update_one(filter, {"$set": data}, upsert=False)
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def _add_data_xarray_dataArray(self, shotNum, dataArray, scanAxis=None):
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if scanAxis is None:
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scanAxis = list(dataArray.coords)
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dataArray.attrs = self._convert_numpy_type(dataArray.attrs)
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stackedDataArray = dataArray.stack(_scanAxis=tuple(scanAxis))
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stackedDataArray = stackedDataArray.groupby('_scanAxis')
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filter = {
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'year': self.year,
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'month': self.month,
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'day': self.day,
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'shotNum': shotNum,
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}
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for i in stackedDataArray:
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stackedDataArray_single = i[1].drop('_scanAxis')
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global_parameters = {
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'global_parameters.' + key: stackedDataArray_single[key].item()
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for key in scanAxis
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}
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filter.update(global_parameters)
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mongoID, _ = self.xdb.put(stackedDataArray_single)
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data_label = {
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dataArray.name:
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{
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'name': dataArray.name,
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'mongoID': mongoID,
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'engine': 'xarray',
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'dtype': 'dataArray',
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}
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}
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self.mongoDB['global'].update_one(filter, {"$set": data_label}, upsert=False)
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def _add_data_xarray_dataSet(self, shotNum, dataSet, name, scanAxis=None):
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if scanAxis is None:
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scanAxis = list(dataSet.coords)
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dataSet.attrs = self._convert_numpy_type(dataSet.attrs)
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for key in list(dataSet.data_vars):
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dataSet[key].attrs = self._convert_numpy_type(dataSet[key].attrs)
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stackedDataSet = dataSet.stack(_scanAxis=tuple(scanAxis))
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stackedDataSet = stackedDataSet.groupby('_scanAxis')
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filter = {
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'year': self.year,
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'month': self.month,
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'day': self.day,
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'shotNum': shotNum,
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}
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for i in stackedDataSet:
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stackedDataSet_single = i[1].drop('_scanAxis')
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global_parameters = {
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'global_parameters.' + key: stackedDataSet_single[key].item()
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for key in scanAxis
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}
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filter.update(global_parameters)
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mongoID, _ = self.xdb.put(dataSet)
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data_label = {
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name:
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{
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'name': name,
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'mongoID': mongoID,
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'engine': 'xarray',
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'dtype': 'dataSet',
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}
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}
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self.mongoDB['global'].update_one(filter, {"$set": data_label}, upsert=False)
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def _add_data_additional(self, shotNum, runNum, data, name):
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if runNum is None:
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runNum = 0
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filter = {
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'year': self.year,
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'month': self.month,
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'day': self.day,
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'shotNum': shotNum,
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'runNum': runNum,
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}
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mongoID = self.mongoDB.additional.insert_one(data).inserted_id
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data_label = {
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name:
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{
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'name': name,
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'mongoID': mongoID,
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'engine': 'additional',
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'dtype': 'dict',
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}
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}
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self.mongoDB['global'].update_one(filter, {"$set": data_label}, upsert=False)
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def add_data(self, shotNum, data, runNum=None, date=None, name=None, engine='normal'):
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if not date is None:
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self.set_date(date)
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if engine == 'normal':
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self._add_data_normal(shotNum=shotNum, runNum=runNum, data=data)
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elif engine == 'xarray':
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if isinstance(data, type(xr.Dataset())):
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self._add_data_xarray_dataSet(shotNum=shotNum, data=data, name=name)
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else:
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self._add_data_xarray_dataArray(shotNum=shotNum, data=data, name=name)
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elif engine == 'additional':
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self._add_data_additional(shotNum=shotNum, runNum=runNum, data=data, name=name)
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def read_global_single(self, shotNum, runNum, date=None):
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if not date is None:
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self.set_date(date)
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filter = {
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'year': self.year,
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'month': self.month,
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'day': self.day,
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'shotNum': shotNum,
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'runNum': runNum,
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}
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return self.mongoDB['global'].find_one(filter)
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def _load_data_single(self, mongoID, engine):
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if engine == 'xarray':
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return self.xdb.get(mongoID)
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if engine == 'additional':
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return self.mongoDB.additional.find_one({'_id': mongoID})
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def load_data_single(self, shotNum=None, runNum=None, globalDict=None, date=None, field=None):
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if not date is None:
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self.set_date(date)
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if globalDict is None:
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globalDict = self.read_global_single(shotNum=shotNum, runNum=runNum)
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if field is None:
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field = globalDict
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res = field
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for key in field:
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if isinstance(globalDict[key], dict) and ('mongoID' in globalDict[key]):
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mongoID = globalDict[key]['mongoID']
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engine = globalDict[key]['engine']
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res.update(
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{
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key: self._load_data_single(mongoID=mongoID, engine=engine)
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}
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)
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return res
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def load_data(self, shotNum=None, globalDict=None, date=None, field=None):
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pass
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