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etl.py
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etl.py
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# -*- coding: utf-8 -*-
"""
ETL does initial validation on config JSON and provides the extractor function,
stream function, list of transformers (JSON), the loader JSON, and graph object
for the loader pipeline.
"""
from modules import loaders, neo4j_xtrct, nx_xtrct, edgelist_xtrct
class ETL(object):
def __init__(self, etl, extractors=None, streams=None, loaders=None):
"""
A helper class that parses the ETL JSON, and initializes the
required extractor, transformers, and loader. Also store key
variables used in transformation/loading.
:param etl: ETL JSON.
"""
# Get the extractor info.
try:
self.extractor_json = etl["extractor"]
self.extractor_name = self.extractor_json.keys()[0]
except (KeyError, IndexError):
raise Exception("Please define valid extractor")
# Get the transformers.
self.transformers = etl.get("transformers", [])
# Get the loader info.
try:
self.loader_json = etl["loader"]
self.loader_name = self.loader_json.keys()[0]
except (KeyError, IndexError):
raise Exception("Please define valid loader.")
# Validate the extractor function.
self._extractors = {}
self._init_extractors()
if extractors:
pass
try:
self.extractor = self.extractors[self.extractor_name]
except KeyError:
raise Exception(
"{0} extractor not implemented".format(self.extractor_name)
)
# Validate the extractor function.
self._streams = {}
self._init_streams()
if streams:
pass
try:
self.stream = self.streams[self.extractor_name]
except KeyError:
raise Exception(
"{0} stream not implemented".format(self.extractor_name)
)
# Validate the loader function.
self._loaders = {}
self._init_loaders()
if loaders:
pass
try:
self.loader = self.loaders[self.loader_name]
except KeyError:
raise Exception(
"{0} loader not implemented".format(self.loader_name)
)
def _get_extractors(self):
return self._extractors
extractors = property(fget=_get_extractors)
def extractors_wrapper(self, extractor):
"""
:param extractor: Str.
"""
def wrapper(fn):
self.extractors[extractor] = fn
return wrapper
def _init_extractors(self):
"""
Update extractors dict to allow for extensible extractor
functionality. Here we set the query attribute that will be passed to
extractor match method. Also, each extractor function will return
a projector class object that defines a match method.
"""
@self.extractors_wrapper("networkx")
def get_nx_extractor(graph):
"""
:param graph: networkx.Graph
:returns: projx.nx_extractor
"""
return nx_xtrct.nx_extractor(
self.extractor_json[self.extractor_name], graph
)
@self.extractors_wrapper("neo4j")
def get_neo4j_extractor(graph):
"""
:returns: projx.nx_extractor
"""
return neo4j_xtrct.neo4j_extractor(
self.extractor_json[self.extractor_name], graph
)
@self.extractors_wrapper("edgelist")
def get_edgelist_extractor(graph):
"""
:returns: projx.nx_extractor
"""
return edgelist_xtrct.edgelist_extractor(
self.extractor_json[self.extractor_name], graph
)
def _get_streams(self):
return self._streams
streams = property(fget=_get_streams)
def streams_wrapper(self, stream):
"""
:param stream: Str.
"""
def wrapper(fn):
self.streams[stream] = fn
return wrapper
def _init_streams(self):
"""
Update streams dict to allow for extensible extractor
functionality. Here we set the query attribute that will be passed to
extractor match method. Also, each extractor function will return
a projector class object that defines a match method.
"""
@self.streams_wrapper("networkx")
def get_nx_stream(extractor_context, graph):
"""
:param graph: networkx.Graph
:returns: projx.nx_extractor
"""
return nx_xtrct.nx_stream(extractor_context, graph)
@self.streams_wrapper("neo4j")
def get_neo4j_stream(extractor_context, graph):
"""
:param graph: networkx.Graph
:returns: projx.nx_extractor
"""
return neo4j_xtrct.neo4j_stream(extractor_context, graph)
@self.streams_wrapper("edgelist")
def get_edgelist_stream(extractor_context, graph):
"""
:param graph: networkx.Graph
:returns: projx.nx_extractor
"""
return edgelist_xtrct.edgelist_stream(extractor_context, graph)
def _get_loader(self):
return self._loaders
loaders = property(fget=_get_loader)
def loaders_wrapper(self, loader):
def wrapper(fn):
self.loaders[loader] = fn
return wrapper
def _init_loaders(self):
"""
Update loaders dict to allow for extensible loader functionality.
Returns a class/function that performs transformation and loads graph.
"""
@self.loaders_wrapper("nx2nx")
def get_nx2nx_loader(extractor, stream, transformers, graph):
"""
:param tranformers: List of dicts.
:extractor: function.
:param graph: networkx.Graph
:returns: projx.nx_loader
"""
return loaders.nx2nx_loader(extractor, stream, transformers,
self.loader_json[self.loader_name],
graph)
@self.loaders_wrapper("neo4j2nx")
def get_neo4j2nx_loader(extractor, stream, transformers, graph):
"""
:param tranformers: List of dicts.
:extractor: function.
:param graph: networkx.Graph
:returns: projx.nx_loader
"""
return loaders.neo4j2nx_loader(extractor, stream, transformers,
self.loader_json[self.loader_name],
graph)
@self.loaders_wrapper("neo4j2edgelist")
def get_neo4j2edgelist_loader(extractor, stream, transformers, graph):
"""
:param tranformers: List of dicts.
:extractor: function.
:param graph: networkx.Graph
:returns: projx.nx_loader
"""
return loaders.neo4j2edgelist_loader(
extractor,
stream,
transformers,
self.loader_json[self.loader_name],
graph
)
@self.loaders_wrapper("edgelist2neo4j")
def get_edgelist2neo4j_loader(extractor, stream, transformers, graph):
"""
:param tranformers: List of dicts.
:extractor: function.
:param graph: networkx.Graph
:returns: projx.nx_loader
"""
return loaders.edgelist2neo4j_loader(
extractor,
stream,
transformers,
self.loader_json[self.loader_name],
graph
)