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@ -35,6 +35,9 @@ import json
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import sys
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import transport
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import time
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import os
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from multiprocessing import Process
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SYS_ARGS = {}
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if len(sys.argv) > 1:
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@ -52,199 +55,301 @@ if len(sys.argv) > 1:
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i += 2
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class Post(Process):
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def __init__(self,**args):
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super().__init__()
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self.store = args['target']
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if 'provider' not in args['target'] :
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pass
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self.PROVIDER = args['target']['type']
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# self.writer = transport.factory.instance(**args['target'])
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else:
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self.PROVIDER = args['target']['provider']
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self.store['context'] = 'write'
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# self.store = args['target']
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self.store['lock'] = True
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# self.writer = transport.instance(**args['target'])
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#
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# If the table doesn't exists maybe create it ?
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#
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self.rows = args['rows']
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# self.rows = args['rows'].fillna('')
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def log(self,**_args) :
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if ETL.logger :
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ETL.logger.info(**_args)
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def run(self):
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_info = {"values":self.rows} if 'couch' in self.PROVIDER else self.rows
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writer = transport.factory.instance(**self.store)
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writer.write(_info)
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writer.close()
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class ETL (Process):
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logger = None
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class Transporter(Process):
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"""
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The transporter (Jason Stathem) moves data from one persistant store to another
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- callback functions
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:onFinish callback function when finished
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:onError callback function when an error occurs
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:source source data specification
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:target destination(s) to move the data to
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"""
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def __init__(self,**_args):
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super().__init__()
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self.name = _args['id'] if 'id' in _args else 'UNREGISTERED'
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# if 'provider' not in _args['source'] :
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# #@deprecate
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# self.reader = transport.factory.instance(**_args['source'])
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# else:
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# #
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# # This is the new interface
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# _args['source']['context'] = 'read'
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# self.reader = transport.instance(**_args['source'])
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#
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# do we have an sql query provided or not ....
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# self.sql = _args['source']['sql'] if 'sql' in _args['source'] else None
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# self.cmd = _args['source']['cmd'] if 'cmd' in _args['source'] else None
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# self._oargs = _args['target'] #transport.factory.instance(**_args['target'])
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self._source = _args ['source']
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# self.onfinish = _args['onFinish']
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# self._onerror = _args['onError']
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self._source = _args['source']
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self._target = _args['target']
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self._source['context'] = 'read'
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self._target['context'] = 'write'
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self.JOB_COUNT = _args['jobs']
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self.jobs = []
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# self.logger = transport.factory.instance(**_args['logger'])
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def log(self,**_args) :
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if ETL.logger :
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ETL.logger.info(**_args)
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def run(self):
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# if self.cmd :
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# idf = self.reader.read(**self.cmd)
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# else:
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# idf = self.reader.read()
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# idf = pd.DataFrame(idf)
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# # idf = idf.replace({np.nan: None}, inplace = True)
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# idf.columns = [str(name).replace("b'",'').replace("'","").strip() for name in idf.columns.tolist()]
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# self.log(rows=idf.shape[0],cols=idf.shape[1],jobs=self.JOB_COUNT)
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#
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# writing the data to a designated data source
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# Let's insure we can support multiple targets
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self._target = [self._target] if type(self._target) != list else self._target
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pass
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def read(self,**_args):
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"""
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This function
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"""
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_reader = transport.factory.instance(**self._source)
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#
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try:
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_log = {"name":self.name,"rows":{"input":0,"output":0}}
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_reader = transport.factory.instance(**self._source)
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if 'table' in self._source :
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_df = _reader.read()
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# If arguments are provided then a query is to be executed (not just a table dump)
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return _reader.read() if 'args' not in self._source else _reader.read(**self._source['args'])
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def _delegate_write(self,_data,**_args):
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"""
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This function will write a data-frame to a designated data-store, The function is built around a delegation design pattern
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:data data-frame or object to be written
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"""
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for _target in self._target :
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if 'write' not in _target :
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_target['context'] = 'write'
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_target['lock'] = True
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else:
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_df = _reader.read(**self._source['cmd'])
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_log['rows']['input'] = _df.shape[0]
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_target['write']['lock'] = True
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_writer = transport.factory.instance(**_target)
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_writer.write(_data,**_args)
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if hasattr(_writer,'close') :
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_writer.close()
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def write(self,_df,**_args):
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"""
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"""
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SEGMENT_COUNT = 6
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MAX_ROWS = 1000000
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# _df = self.read()
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_segments = np.array_split(np.range(_df.shape[0]),SEGMENT_COUNT) if _df.shape[0] > MAX_ROWS else np.array( [np.arange(_df.shape[0])])
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# _index = 0
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for _indexes in _segments :
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_fwd_args = {} if not _args else _args
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self._delegate_write(_df.iloc[_indexes],**_fwd_args)
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#
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# Let's write the input data-frame to the target ...
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_writer = transport.factory.instance(**self._target)
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_writer.write(_df)
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_log['rows']['output'] = _df.shape[0]
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# self.log(module='write',action='partitioning',jobs=self.JOB_COUNT)
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# rows = np.array_split(np.arange(0,idf.shape[0]),self.JOB_COUNT)
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# #
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# # @TODO: locks
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# for i in np.arange(self.JOB_COUNT) :
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# # _id = ' '.join([str(i),' table ',self.name])
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# indexes = rows[i]
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# segment = idf.loc[indexes,:].copy() #.to_dict(orient='records')
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# _name = "partition-"+str(i)
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# if segment.shape[0] == 0 :
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# continue
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# proc = Post(target = self._oargs,rows = segment,name=_name)
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# self.jobs.append(proc)
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# proc.start()
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# self.log(module='write',action='working',segment=str(self.name),table=self.name,rows=segment.shape[0])
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# while self.jobs :
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# jobs = [job for job in proc if job.is_alive()]
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# time.sleep(1)
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except Exception as e:
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print (e)
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self.log(**_log)
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def is_done(self):
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self.jobs = [proc for proc in self.jobs if proc.is_alive()]
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return len(self.jobs) == 0
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def instance(**_args):
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"""
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:path ,index, id
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:param _info list of objects with {source,target}`
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:param logger
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"""
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logger = _args['logger'] if 'logger' in _args else None
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if 'path' in _args :
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_info = json.loads((open(_args['path'])).read())
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if 'index' in _args :
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_index = int(_args['index'])
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_info = _info[_index]
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elif 'id' in _args :
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_info = [_item for _item in _info if '_id' in _item and _item['id'] == _args['id']]
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_info = _info[0] if _info else _info
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else:
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_info = _args['info']
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if logger and type(logger) != str:
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ETL.logger = logger
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elif logger == 'console':
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ETL.logger = transport.factory.instance(provider='console',context='write',lock=True)
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if type(_info) in [list,dict] :
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_info = _info if type(_info) != dict else [_info]
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#
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# The assumption here is that the objects within the list are {source,target}
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jobs = []
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for _item in _info :
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# @TODO: Perhaps consider writing up each segment in a thread/process (speeds things up?)
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pass
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_item['jobs'] = 5 if 'procs' not in _args else int(_args['procs'])
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_job = ETL(**_item)
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def instance(**_args):
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_proxy = lambda _agent: _agent.write(_agent.read())
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if 'source' in _args and 'target' in _args :
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_job.start()
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jobs.append(_job)
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return jobs
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_agent = Transporter(**_args)
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_proxy(_agent)
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else:
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return None
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if __name__ == '__main__' :
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_info = json.loads(open (SYS_ARGS['config']).read())
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index = int(SYS_ARGS['index']) if 'index' in SYS_ARGS else None
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procs = []
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for _config in _info :
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if 'source' in SYS_ARGS :
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_config['source'] = {"type":"disk.DiskReader","args":{"path":SYS_ARGS['source'],"delimiter":","}}
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_config['jobs'] = 3 if 'jobs' not in SYS_ARGS else int(SYS_ARGS['jobs'])
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etl = ETL (**_config)
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if index is None:
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etl.start()
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procs.append(etl)
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elif _info.index(_config) == index :
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# print (_config)
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procs = [etl]
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etl.start()
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break
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#
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#
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N = len(procs)
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while procs :
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procs = [thread for thread in procs if not thread.is_done()]
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if len(procs) < N :
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print (["Finished ",(N-len(procs)), " remaining ", len(procs)])
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N = len(procs)
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time.sleep(1)
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# print ("We're done !!")
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_config = _args['config']
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_items = [Transporter(**_item) for _item in _config ]
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_MAX_JOBS = 5
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_items = np.array_split(_items,_MAX_JOBS)
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for _batch in _items :
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jobs = []
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for _item in _batch :
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thread = Process(target=_proxy,args = (_item,))
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thread.start()
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jobs.append(thread)
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while jobs :
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jobs = [thread for thread in jobs if thread.is_alive()]
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time.sleep(1)
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pass
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# class Post(Process):
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# def __init__(self,**args):
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# super().__init__()
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# self.store = args['target']
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# if 'provider' not in args['target'] :
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# pass
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# self.PROVIDER = args['target']['type']
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# # self.writer = transport.factory.instance(**args['target'])
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# else:
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# self.PROVIDER = args['target']['provider']
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# self.store['context'] = 'write'
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# # self.store = args['target']
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# self.store['lock'] = True
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# # self.writer = transport.instance(**args['target'])
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# #
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# # If the table doesn't exists maybe create it ?
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# #
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# self.rows = args['rows']
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# # self.rows = args['rows'].fillna('')
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# def log(self,**_args) :
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# if ETL.logger :
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# ETL.logger.info(**_args)
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# def run(self):
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# _info = {"values":self.rows} if 'couch' in self.PROVIDER else self.rows
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# writer = transport.factory.instance(**self.store)
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# writer.write(_info)
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# writer.close()
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# class ETL (Process):
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# logger = None
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# def __init__(self,**_args):
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# super().__init__()
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# self.name = _args['id'] if 'id' in _args else 'UNREGISTERED'
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# # if 'provider' not in _args['source'] :
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# # #@deprecate
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# # self.reader = transport.factory.instance(**_args['source'])
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# # else:
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# # #
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# # # This is the new interface
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# # _args['source']['context'] = 'read'
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# # self.reader = transport.instance(**_args['source'])
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# #
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# # do we have an sql query provided or not ....
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# # self.sql = _args['source']['sql'] if 'sql' in _args['source'] else None
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# # self.cmd = _args['source']['cmd'] if 'cmd' in _args['source'] else None
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# # self._oargs = _args['target'] #transport.factory.instance(**_args['target'])
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# self._source = _args ['source']
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# self._target = _args['target']
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# self._source['context'] = 'read'
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# self._target['context'] = 'write'
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# self.JOB_COUNT = _args['jobs']
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# self.jobs = []
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# # self.logger = transport.factory.instance(**_args['logger'])
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# def log(self,**_args) :
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# if ETL.logger :
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# ETL.logger.info(**_args)
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# def run(self):
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# # if self.cmd :
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# # idf = self.reader.read(**self.cmd)
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# # else:
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# # idf = self.reader.read()
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# # idf = pd.DataFrame(idf)
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# # # idf = idf.replace({np.nan: None}, inplace = True)
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# # idf.columns = [str(name).replace("b'",'').replace("'","").strip() for name in idf.columns.tolist()]
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# # self.log(rows=idf.shape[0],cols=idf.shape[1],jobs=self.JOB_COUNT)
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# #
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# # writing the data to a designated data source
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# #
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# try:
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# _log = {"name":self.name,"rows":{"input":0,"output":0}}
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# _reader = transport.factory.instance(**self._source)
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# if 'table' in self._source :
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# _df = _reader.read()
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# else:
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# _df = _reader.read(**self._source['cmd'])
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# _log['rows']['input'] = _df.shape[0]
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# #
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# # Let's write the input data-frame to the target ...
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# _writer = transport.factory.instance(**self._target)
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# _writer.write(_df)
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# _log['rows']['output'] = _df.shape[0]
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# # self.log(module='write',action='partitioning',jobs=self.JOB_COUNT)
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# # rows = np.array_split(np.arange(0,idf.shape[0]),self.JOB_COUNT)
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# # #
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# # # @TODO: locks
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# # for i in np.arange(self.JOB_COUNT) :
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# # # _id = ' '.join([str(i),' table ',self.name])
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# # indexes = rows[i]
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# # segment = idf.loc[indexes,:].copy() #.to_dict(orient='records')
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# # _name = "partition-"+str(i)
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# # if segment.shape[0] == 0 :
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# # continue
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# # proc = Post(target = self._oargs,rows = segment,name=_name)
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# # self.jobs.append(proc)
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# # proc.start()
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# # self.log(module='write',action='working',segment=str(self.name),table=self.name,rows=segment.shape[0])
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# # while self.jobs :
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# # jobs = [job for job in proc if job.is_alive()]
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# # time.sleep(1)
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# except Exception as e:
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# print (e)
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# self.log(**_log)
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# def is_done(self):
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# self.jobs = [proc for proc in self.jobs if proc.is_alive()]
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# return len(self.jobs) == 0
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# def instance (**_args):
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# """
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# path to configuration file
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# """
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# _path = _args['path']
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# _config = {}
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# jobs = []
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# if os.path.exists(_path) :
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# file = open(_path)
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# _config = json.loads(file.read())
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# file.close()
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# if _config and type
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# def _instance(**_args):
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# """
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# :path ,index, id
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# :param _info list of objects with {source,target}`
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# :param logger
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# """
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# logger = _args['logger'] if 'logger' in _args else None
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# if 'path' in _args :
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# _info = json.loads((open(_args['path'])).read())
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# if 'index' in _args :
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# _index = int(_args['index'])
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# _info = _info[_index]
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# elif 'id' in _args :
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# _info = [_item for _item in _info if '_id' in _item and _item['id'] == _args['id']]
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# _info = _info[0] if _info else _info
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# else:
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# _info = _args['info']
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# if logger and type(logger) != str:
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|
# ETL.logger = logger
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|
# elif logger == 'console':
|
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|
|
# ETL.logger = transport.factory.instance(provider='console',context='write',lock=True)
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|
|
# if type(_info) in [list,dict] :
|
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|
|
# _info = _info if type(_info) != dict else [_info]
|
|
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|
|
# #
|
|
|
|
|
# # The assumption here is that the objects within the list are {source,target}
|
|
|
|
|
# jobs = []
|
|
|
|
|
# for _item in _info :
|
|
|
|
|
|
|
|
|
|
# _item['jobs'] = 5 if 'procs' not in _args else int(_args['procs'])
|
|
|
|
|
# _job = ETL(**_item)
|
|
|
|
|
|
|
|
|
|
# _job.start()
|
|
|
|
|
# jobs.append(_job)
|
|
|
|
|
# return jobs
|
|
|
|
|
|
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|
|
# else:
|
|
|
|
|
# return None
|
|
|
|
|
|
|
|
|
|
# if __name__ == '__main__' :
|
|
|
|
|
# _info = json.loads(open (SYS_ARGS['config']).read())
|
|
|
|
|
# index = int(SYS_ARGS['index']) if 'index' in SYS_ARGS else None
|
|
|
|
|
# procs = []
|
|
|
|
|
# for _config in _info :
|
|
|
|
|
# if 'source' in SYS_ARGS :
|
|
|
|
|
# _config['source'] = {"type":"disk.DiskReader","args":{"path":SYS_ARGS['source'],"delimiter":","}}
|
|
|
|
|
|
|
|
|
|
# _config['jobs'] = 3 if 'jobs' not in SYS_ARGS else int(SYS_ARGS['jobs'])
|
|
|
|
|
# etl = ETL (**_config)
|
|
|
|
|
# if index is None:
|
|
|
|
|
|
|
|
|
|
# etl.start()
|
|
|
|
|
# procs.append(etl)
|
|
|
|
|
|
|
|
|
|
# elif _info.index(_config) == index :
|
|
|
|
|
|
|
|
|
|
# # print (_config)
|
|
|
|
|
# procs = [etl]
|
|
|
|
|
# etl.start()
|
|
|
|
|
# break
|
|
|
|
|
# #
|
|
|
|
|
# #
|
|
|
|
|
# N = len(procs)
|
|
|
|
|
# while procs :
|
|
|
|
|
# procs = [thread for thread in procs if not thread.is_done()]
|
|
|
|
|
# if len(procs) < N :
|
|
|
|
|
# print (["Finished ",(N-len(procs)), " remaining ", len(procs)])
|
|
|
|
|
# N = len(procs)
|
|
|
|
|
# time.sleep(1)
|
|
|
|
|
# # print ("We're done !!")
|
Steve Nyemba
1 year ago