Mercurial > repos > kls286 > chap_test_20230328
annotate build/lib/CHAP/processor.py @ 1:1016ae8f31ec draft
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
| author | kls286 | 
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| date | Tue, 28 Mar 2023 15:16:40 +0000 | 
| parents | cbbe42422d56 | 
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| rev | line source | 
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| 0 
cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 1 #!/usr/bin/env python | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 2 #-*- coding: utf-8 -*- | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 3 #pylint: disable= | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 4 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 5 File : processor.py | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 6 Author : Valentin Kuznetsov <vkuznet AT gmail dot com> | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 7 Description: Processor module | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 8 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 9 | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 10 # system modules | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 11 import argparse | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 12 import json | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 13 import logging | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 14 import sys | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 15 from time import time | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 16 | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 17 # local modules | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 18 # from pipeline import PipelineObject | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 19 | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 20 class Processor(): | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 21 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 22 Processor represent generic processor | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 23 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 24 def __init__(self): | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 25 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 26 Processor constructor | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 27 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 28 self.__name__ = self.__class__.__name__ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 29 self.logger = logging.getLogger(self.__name__) | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 30 self.logger.propagate = False | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 31 | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 32 def process(self, data): | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 33 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 34 process data API | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 35 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 36 | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 37 t0 = time() | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 38 self.logger.info(f'Executing "process" with type(data)={type(data)}') | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 39 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 40 data = self._process(data) | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 41 | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 42 self.logger.info(f'Finished "process" in {time()-t0:.3f} seconds\n') | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 43 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 44 return(data) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 45 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 46 def _process(self, data): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 47 # If needed, extract data from a returned value of Reader.read | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 48 if isinstance(data, list): | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 49 if all([isinstance(d,dict) for d in data]): | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 50 data = data[0]['data'] | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 51 # process operation is a simple print function | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 52 data += "process part\n" | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 53 # and we return data back to pipeline | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 54 return data | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 55 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 56 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 57 class TFaaSImageProcessor(Processor): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 58 ''' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 59 A Processor to get predictions from TFaaS inference server. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 60 ''' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 61 def process(self, data, url, model, verbose=False): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 62 """ | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 63 process data API | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 64 """ | 
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cbbe42422d56
planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 65 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 66 t0 = time() | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 67 self.logger.info(f'Executing "process" with url {url} model {model}') | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 68 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 69 data = self._process(data, url, model, verbose) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 70 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 71 self.logger.info(f'Finished "process" in {time()-t0:.3f} seconds\n') | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 72 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 73 return(data) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 74 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 75 def _process(self, data, url, model, verbose): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 76 '''Print and return the input data. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 77 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 78 :param data: Input image data, either file name or actual image data | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 79 :type data: object | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 80 :return: `data` | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 81 :rtype: object | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 82 ''' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 83 from MLaaS.tfaas_client import predictImage | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 84 from pathlib import Path | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 85 self.logger.info(f"input data {type(data)}") | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 86 if isinstance(data, str) and Path(data).is_file(): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 87 imgFile = data | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 88 data = predictImage(url, imgFile, model, verbose) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 89 else: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 90 rdict = data[0] | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
 kls286 parents: diff
changeset | 91 import requests | 
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changeset | 92 img = rdict['data'] | 
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changeset | 93 session = requests.Session() | 
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changeset | 94 rurl = url + '/predict/image' | 
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changeset | 95 payload = dict(model=model) | 
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changeset | 96 files = dict(image=img) | 
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changeset | 97 self.logger.info(f"HTTP request {rurl} with image file and {payload} payload") | 
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changeset | 98 req = session.post(rurl, files=files, data=payload ) | 
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changeset | 99 data = req.content | 
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changeset | 100 data = data.decode("utf-8").replace('\n', '') | 
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changeset | 101 self.logger.info(f"HTTP response {data}") | 
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changeset | 102 | 
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changeset | 103 return(data) | 
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changeset | 104 | 
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changeset | 105 class URLResponseProcessor(Processor): | 
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changeset | 106 def _process(self, data): | 
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changeset | 107 '''Take data returned from URLReader.read and return a decoded version of | 
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changeset | 108 the content. | 
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changeset | 109 | 
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changeset | 110 :param data: input data (output of URLReader.read) | 
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changeset | 111 :type data: list[dict] | 
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changeset | 112 :return: decoded data contents | 
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changeset | 113 :rtype: object | 
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changeset | 114 ''' | 
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changeset | 115 | 
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changeset | 116 data = data[0] | 
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changeset | 117 | 
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changeset | 118 content = data['data'] | 
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changeset | 119 encoding = data['encoding'] | 
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changeset | 120 | 
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changeset | 121 self.logger.debug(f'Decoding content of type {type(content)} with {encoding}') | 
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changeset | 122 | 
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changeset | 123 try: | 
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changeset | 124 content = content.decode(encoding) | 
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changeset | 125 except: | 
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changeset | 126 self.logger.warning(f'Failed to decode content of type {type(content)} with {encoding}') | 
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changeset | 127 | 
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changeset | 128 return(content) | 
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changeset | 129 | 
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changeset | 130 class PrintProcessor(Processor): | 
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changeset | 131 '''A Processor to simply print the input data to stdout and return the | 
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changeset | 132 original input data, unchanged in any way. | 
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changeset | 133 ''' | 
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changeset | 134 | 
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changeset | 135 def _process(self, data): | 
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changeset | 136 '''Print and return the input data. | 
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changeset | 137 | 
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changeset | 138 :param data: Input data | 
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changeset | 139 :type data: object | 
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changeset | 140 :return: `data` | 
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changeset | 141 :rtype: object | 
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changeset | 142 ''' | 
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changeset | 143 | 
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changeset | 144 print(f'{self.__name__} data :') | 
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changeset | 145 | 
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changeset | 146 if callable(getattr(data, '_str_tree', None)): | 
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changeset | 147 # If data is likely an NXobject, print its tree representation | 
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changeset | 148 # (since NXobjects' str representations are just their nxname -- not | 
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changeset | 149 # very helpful). | 
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changeset | 150 print(data._str_tree(attrs=True, recursive=True)) | 
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changeset | 151 else: | 
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changeset | 152 print(str(data)) | 
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changeset | 153 | 
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changeset | 154 return(data) | 
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changeset | 155 | 
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changeset | 156 class NexusToNumpyProcessor(Processor): | 
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changeset | 157 '''A class to convert the default plottable data in an `NXobject` into an | 
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changeset | 158 `numpy.ndarray`. | 
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changeset | 159 ''' | 
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changeset | 160 | 
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changeset | 161 def _process(self, data): | 
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changeset | 162 '''Return the default plottable data signal in `data` as an | 
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changeset | 163 `numpy.ndarray`. | 
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changeset | 164 | 
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changeset | 165 :param data: input NeXus structure | 
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changeset | 166 :type data: nexusformat.nexus.tree.NXobject | 
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changeset | 167 :raises ValueError: if `data` has no default plottable data signal | 
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changeset | 168 :return: default plottable data signal in `data` | 
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changeset | 169 :rtype: numpy.ndarray | 
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changeset | 170 ''' | 
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changeset | 171 | 
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changeset | 172 default_data = data.plottable_data | 
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changeset | 173 | 
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changeset | 174 if default_data is None: | 
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changeset | 175 default_data_path = data.attrs['default'] | 
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changeset | 176 default_data = data.get(default_data_path) | 
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changeset | 177 if default_data is None: | 
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changeset | 178 raise(ValueError(f'The structure of {data} contains no default data')) | 
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changeset | 179 | 
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changeset | 180 default_signal = default_data.attrs.get('signal') | 
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changeset | 181 if default_signal is None: | 
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changeset | 182 raise(ValueError(f'The signal of {default_data} is unknown')) | 
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changeset | 183 default_signal = default_signal.nxdata | 
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changeset | 184 | 
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changeset | 185 np_data = default_data[default_signal].nxdata | 
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changeset | 186 | 
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changeset | 187 return(np_data) | 
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changeset | 188 | 
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changeset | 189 class NexusToXarrayProcessor(Processor): | 
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changeset | 190 '''A class to convert the default plottable data in an `NXobject` into an | 
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changeset | 191 `xarray.DataArray`.''' | 
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changeset | 192 | 
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changeset | 193 def _process(self, data): | 
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changeset | 194 '''Return the default plottable data signal in `data` as an | 
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changeset | 195 `xarray.DataArray`. | 
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changeset | 196 | 
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changeset | 197 :param data: input NeXus structure | 
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changeset | 198 :type data: nexusformat.nexus.tree.NXobject | 
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changeset | 199 :raises ValueError: if metadata for `xarray` is absen from `data` | 
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changeset | 200 :return: default plottable data signal in `data` | 
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changeset | 201 :rtype: xarray.DataArray | 
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changeset | 202 ''' | 
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changeset | 203 | 
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changeset | 204 from xarray import DataArray | 
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changeset | 205 | 
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changeset | 206 default_data = data.plottable_data | 
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changeset | 207 | 
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changeset | 208 if default_data is None: | 
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changeset | 209 default_data_path = data.attrs['default'] | 
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changeset | 210 default_data = data.get(default_data_path) | 
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changeset | 211 if default_data is None: | 
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changeset | 212 raise(ValueError(f'The structure of {data} contains no default data')) | 
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changeset | 213 | 
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changeset | 214 default_signal = default_data.attrs.get('signal') | 
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changeset | 215 if default_signal is None: | 
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changeset | 216 raise(ValueError(f'The signal of {default_data} is unknown')) | 
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changeset | 217 default_signal = default_signal.nxdata | 
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changeset | 218 | 
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changeset | 219 signal_data = default_data[default_signal].nxdata | 
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changeset | 220 | 
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changeset | 221 axes = default_data.attrs['axes'] | 
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changeset | 222 coords = {} | 
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changeset | 223 for axis_name in axes: | 
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changeset | 224 axis = default_data[axis_name] | 
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changeset | 225 coords[axis_name] = (axis_name, | 
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changeset | 226 axis.nxdata, | 
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changeset | 227 axis.attrs) | 
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changeset | 228 | 
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changeset | 229 dims = tuple(axes) | 
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changeset | 230 | 
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changeset | 231 name = default_signal | 
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changeset | 232 | 
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changeset | 233 attrs = default_data[default_signal].attrs | 
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changeset | 234 | 
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changeset | 235 return(DataArray(data=signal_data, | 
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changeset | 236 coords=coords, | 
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changeset | 237 dims=dims, | 
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changeset | 238 name=name, | 
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changeset | 239 attrs=attrs)) | 
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changeset | 240 | 
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changeset | 241 class XarrayToNexusProcessor(Processor): | 
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changeset | 242 '''A class to convert the data in an `xarray` structure to an | 
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changeset | 243 `nexusformat.nexus.NXdata`. | 
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changeset | 244 ''' | 
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changeset | 245 | 
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changeset | 246 def _process(self, data): | 
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changeset | 247 '''Return `data` represented as an `nexusformat.nexus.NXdata`. | 
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changeset | 248 | 
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changeset | 249 :param data: The input `xarray` structure | 
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changeset | 250 :type data: typing.Union[xarray.DataArray, xarray.Dataset] | 
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changeset | 251 :return: The data and metadata in `data` | 
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changeset | 252 :rtype: nexusformat.nexus.NXdata | 
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changeset | 253 ''' | 
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changeset | 254 | 
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changeset | 255 from nexusformat.nexus import NXdata, NXfield | 
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changeset | 256 | 
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changeset | 257 signal = NXfield(value=data.data, name=data.name, attrs=data.attrs) | 
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changeset | 258 | 
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changeset | 259 axes = [] | 
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changeset | 260 for name, coord in data.coords.items(): | 
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changeset | 261 axes.append(NXfield(value=coord.data, name=name, attrs=coord.attrs)) | 
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changeset | 262 axes = tuple(axes) | 
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changeset | 263 | 
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changeset | 264 return(NXdata(signal=signal, axes=axes)) | 
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changeset | 265 | 
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changeset | 266 class XarrayToNumpyProcessor(Processor): | 
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changeset | 267 '''A class to convert the data in an `xarray.DataArray` structure to an | 
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changeset | 268 `numpy.ndarray`. | 
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changeset | 269 ''' | 
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changeset | 270 | 
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changeset | 271 def _process(self, data): | 
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changeset | 272 '''Return just the signal values contained in `data`. | 
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changeset | 273 | 
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changeset | 274 :param data: The input `xarray.DataArray` | 
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changeset | 275 :type data: xarray.DataArray | 
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changeset | 276 :return: The data in `data` | 
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changeset | 277 :rtype: numpy.ndarray | 
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changeset | 278 ''' | 
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changeset | 279 | 
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changeset | 280 return(data.data) | 
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changeset | 281 | 
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changeset | 282 class MapProcessor(Processor): | 
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changeset | 283 '''Class representing a process that takes a map configuration and returns a | 
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changeset | 284 `nexusformat.nexus.NXentry` representing that map's metadata and any | 
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changeset | 285 scalar-valued raw data requseted by the supplied map configuration. | 
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changeset | 286 ''' | 
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changeset | 287 | 
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changeset | 288 def _process(self, data): | 
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changeset | 289 '''Process the output of a `Reader` that contains a map configuration and | 
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changeset | 290 return a `nexusformat.nexus.NXentry` representing the map. | 
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changeset | 291 | 
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changeset | 292 :param data: Result of `Reader.read` where at least one item has the | 
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changeset | 293 value `'MapConfig'` for the `'schema'` key. | 
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changeset | 294 :type data: list[dict[str,object]] | 
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changeset | 295 :return: Map data & metadata (SPEC only, no detector) | 
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changeset | 296 :rtype: nexusformat.nexus.NXentry | 
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changeset | 297 ''' | 
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changeset | 298 | 
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changeset | 299 map_config = self.get_map_config(data) | 
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changeset | 300 nxentry = self.__class__.get_nxentry(map_config) | 
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changeset | 301 | 
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changeset | 302 return(nxentry) | 
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changeset | 303 | 
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changeset | 304 def get_map_config(self, data): | 
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changeset | 305 '''Get an instance of `MapConfig` from a returned value of `Reader.read` | 
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changeset | 306 | 
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changeset | 307 :param data: Result of `Reader.read` where at least one item has the | 
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changeset | 308 value `'MapConfig'` for the `'schema'` key. | 
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changeset | 309 :type data: list[dict[str,object]] | 
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changeset | 310 :raises Exception: If a valid `MapConfig` cannot be constructed from `data`. | 
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changeset | 311 :return: a valid instance of `MapConfig` with field values taken from `data`. | 
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changeset | 312 :rtype: MapConfig | 
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changeset | 313 ''' | 
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changeset | 314 | 
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changeset | 315 from CHAP.models.map import MapConfig | 
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changeset | 316 | 
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changeset | 317 map_config = False | 
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changeset | 318 if isinstance(data, list): | 
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changeset | 319 for item in data: | 
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changeset | 320 if isinstance(item, dict): | 
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changeset | 321 if item.get('schema') == 'MapConfig': | 
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changeset | 322 map_config = item.get('data') | 
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changeset | 323 break | 
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changeset | 324 | 
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changeset | 325 if not map_config: | 
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changeset | 326 raise(ValueError('No map configuration found')) | 
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changeset | 327 | 
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changeset | 328 return(MapConfig(**map_config)) | 
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changeset | 329 | 
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changeset | 330 @staticmethod | 
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changeset | 331 def get_nxentry(map_config): | 
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changeset | 332 '''Use a `MapConfig` to construct a `nexusformat.nexus.NXentry` | 
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changeset | 333 | 
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changeset | 334 :param map_config: a valid map configuration | 
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changeset | 335 :type map_config: MapConfig | 
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changeset | 336 :return: the map's data and metadata contained in a NeXus structure | 
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changeset | 337 :rtype: nexusformat.nexus.NXentry | 
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changeset | 338 ''' | 
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changeset | 339 | 
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changeset | 340 from nexusformat.nexus import (NXcollection, | 
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changeset | 341 NXdata, | 
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changeset | 342 NXentry, | 
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changeset | 343 NXfield, | 
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changeset | 344 NXsample) | 
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changeset | 345 import numpy as np | 
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changeset | 346 | 
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changeset | 347 nxentry = NXentry(name=map_config.title) | 
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changeset | 348 | 
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changeset | 349 nxentry.map_config = json.dumps(map_config.dict()) | 
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changeset | 350 | 
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changeset | 351 nxentry[map_config.sample.name] = NXsample(**map_config.sample.dict()) | 
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changeset | 352 | 
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changeset | 353 nxentry.attrs['station'] = map_config.station | 
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changeset | 354 | 
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changeset | 355 nxentry.spec_scans = NXcollection() | 
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changeset | 356 for scans in map_config.spec_scans: | 
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changeset | 357 nxentry.spec_scans[scans.scanparsers[0].scan_name] = \ | 
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changeset | 358 NXfield(value=scans.scan_numbers, | 
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changeset | 359 dtype='int8', | 
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changeset | 360 attrs={'spec_file':str(scans.spec_file)}) | 
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changeset | 361 | 
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changeset | 362 nxentry.data = NXdata() | 
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changeset | 363 nxentry.data.attrs['axes'] = map_config.dims | 
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changeset | 364 for i,dim in enumerate(map_config.independent_dimensions[::-1]): | 
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changeset | 365 nxentry.data[dim.label] = NXfield(value=map_config.coords[dim.label], | 
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changeset | 366 units=dim.units, | 
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changeset | 367 attrs={'long_name': f'{dim.label} ({dim.units})', | 
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changeset | 368 'data_type': dim.data_type, | 
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changeset | 369 'local_name': dim.name}) | 
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changeset | 370 nxentry.data.attrs[f'{dim.label}_indices'] = i | 
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changeset | 371 | 
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changeset | 372 signal = False | 
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changeset | 373 auxilliary_signals = [] | 
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changeset | 374 for data in map_config.all_scalar_data: | 
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changeset | 375 nxentry.data[data.label] = NXfield(value=np.empty(map_config.shape), | 
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changeset | 376 units=data.units, | 
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changeset | 377 attrs={'long_name': f'{data.label} ({data.units})', | 
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changeset | 378 'data_type': data.data_type, | 
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changeset | 379 'local_name': data.name}) | 
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changeset | 380 if not signal: | 
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changeset | 381 signal = data.label | 
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changeset | 382 else: | 
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changeset | 383 auxilliary_signals.append(data.label) | 
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changeset | 384 | 
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changeset | 385 if signal: | 
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changeset | 386 nxentry.data.attrs['signal'] = signal | 
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changeset | 387 nxentry.data.attrs['auxilliary_signals'] = auxilliary_signals | 
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changeset | 388 | 
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changeset | 389 for scans in map_config.spec_scans: | 
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changeset | 390 for scan_number in scans.scan_numbers: | 
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changeset | 391 scanparser = scans.get_scanparser(scan_number) | 
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changeset | 392 for scan_step_index in range(scanparser.spec_scan_npts): | 
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changeset | 393 map_index = scans.get_index(scan_number, scan_step_index, map_config) | 
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changeset | 394 for data in map_config.all_scalar_data: | 
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changeset | 395 nxentry.data[data.label][map_index] = data.get_value(scans, scan_number, scan_step_index) | 
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changeset | 396 | 
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changeset | 397 return(nxentry) | 
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changeset | 398 | 
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changeset | 399 class IntegrationProcessor(Processor): | 
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changeset | 400 '''Class for integrating 2D detector data | 
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changeset | 401 ''' | 
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changeset | 402 | 
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changeset | 403 def _process(self, data): | 
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changeset | 404 '''Integrate the input data with the integration method and keyword | 
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changeset | 405 arguments supplied and return the results. | 
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changeset | 406 | 
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changeset | 407 :param data: input data, including raw data, integration method, and | 
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changeset | 408 keyword args for the integration method. | 
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changeset | 409 :type data: tuple[typing.Union[numpy.ndarray, list[numpy.ndarray]], | 
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changeset | 410 callable, | 
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changeset | 411 dict] | 
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changeset | 412 :param integration_method: the method of a | 
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changeset | 413 `pyFAI.azimuthalIntegrator.AzimuthalIntegrator` or | 
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changeset | 414 `pyFAI.multi_geometry.MultiGeometry` that returns the desired | 
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changeset | 415 integration results. | 
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changeset | 416 :return: integrated raw data | 
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changeset | 417 :rtype: pyFAI.containers.IntegrateResult | 
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changeset | 418 ''' | 
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changeset | 419 | 
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changeset | 420 detector_data, integration_method, integration_kwargs = data | 
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changeset | 421 | 
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changeset | 422 return(integration_method(detector_data, **integration_kwargs)) | 
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changeset | 423 | 
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changeset | 424 class IntegrateMapProcessor(Processor): | 
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changeset | 425 '''Class representing a process that takes a map and integration | 
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changeset | 426 configuration and returns a `nexusformat.nexus.NXprocess` containing a map of | 
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changeset | 427 the integrated detector data requested. | 
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changeset | 428 ''' | 
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changeset | 429 | 
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changeset | 430 def _process(self, data): | 
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changeset | 431 '''Process the output of a `Reader` that contains a map and integration | 
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changeset | 432 configuration and return a `nexusformat.nexus.NXprocess` containing a map | 
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changeset | 433 of the integrated detector data requested | 
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changeset | 434 | 
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changeset | 435 :param data: Result of `Reader.read` where at least one item has the | 
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changeset | 436 value `'MapConfig'` for the `'schema'` key, and at least one item has | 
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changeset | 437 the value `'IntegrationConfig'` for the `'schema'` key. | 
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changeset | 438 :type data: list[dict[str,object]] | 
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changeset | 439 :return: integrated data and process metadata | 
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changeset | 440 :rtype: nexusformat.nexus.NXprocess | 
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changeset | 441 ''' | 
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changeset | 442 | 
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changeset | 443 map_config, integration_config = self.get_configs(data) | 
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changeset | 444 nxprocess = self.get_nxprocess(map_config, integration_config) | 
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changeset | 445 | 
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changeset | 446 return(nxprocess) | 
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changeset | 447 | 
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changeset | 448 def get_configs(self, data): | 
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changeset | 449 '''Return valid instances of `MapConfig` and `IntegrationConfig` from the | 
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changeset | 450 input supplied by `MultipleReader`. | 
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changeset | 451 | 
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changeset | 452 :param data: Result of `Reader.read` where at least one item has the | 
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changeset | 453 value `'MapConfig'` for the `'schema'` key, and at least one item has | 
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changeset | 454 the value `'IntegrationConfig'` for the `'schema'` key. | 
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changeset | 455 :type data: list[dict[str,object]] | 
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changeset | 456 :raises ValueError: if `data` cannot be parsed into map and integration configurations. | 
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changeset | 457 :return: valid map and integration configuration objects. | 
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changeset | 458 :rtype: tuple[MapConfig, IntegrationConfig] | 
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changeset | 459 ''' | 
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changeset | 460 | 
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changeset | 461 self.logger.debug('Getting configuration objects') | 
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changeset | 462 t0 = time() | 
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changeset | 463 | 
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changeset | 464 from CHAP.models.map import MapConfig | 
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changeset | 465 from CHAP.models.integration import IntegrationConfig | 
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changeset | 466 | 
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changeset | 467 map_config = False | 
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changeset | 468 integration_config = False | 
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changeset | 469 if isinstance(data, list): | 
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changeset | 470 for item in data: | 
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changeset | 471 if isinstance(item, dict): | 
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changeset | 472 schema = item.get('schema') | 
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changeset | 473 if schema == 'MapConfig': | 
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changeset | 474 map_config = item.get('data') | 
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changeset | 475 elif schema == 'IntegrationConfig': | 
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changeset | 476 integration_config = item.get('data') | 
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changeset | 477 | 
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changeset | 478 if not map_config: | 
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changeset | 479 raise(ValueError('No map configuration found')) | 
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changeset | 480 if not integration_config: | 
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changeset | 481 raise(ValueError('No integration configuration found')) | 
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changeset | 482 | 
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changeset | 483 map_config = MapConfig(**map_config) | 
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changeset | 484 integration_config = IntegrationConfig(**integration_config) | 
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changeset | 485 | 
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changeset | 486 self.logger.debug(f'Got configuration objects in {time()-t0:.3f} seconds') | 
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changeset | 487 | 
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changeset | 488 return(map_config, integration_config) | 
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changeset | 489 | 
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changeset | 490 def get_nxprocess(self, map_config, integration_config): | 
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changeset | 491 '''Use a `MapConfig` and `IntegrationConfig` to construct a | 
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changeset | 492 `nexusformat.nexus.NXprocess` | 
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changeset | 493 | 
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changeset | 494 :param map_config: a valid map configuration | 
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changeset | 495 :type map_config: MapConfig | 
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changeset | 496 :param integration_config: a valid integration configuration | 
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changeset | 497 :type integration_config" IntegrationConfig | 
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changeset | 498 :return: the integrated detector data and metadata contained in a NeXus | 
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changeset | 499 structure | 
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changeset | 500 :rtype: nexusformat.nexus.NXprocess | 
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changeset | 501 ''' | 
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changeset | 502 | 
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changeset | 503 self.logger.debug('Constructing NXprocess') | 
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changeset | 504 t0 = time() | 
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changeset | 505 | 
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changeset | 506 from nexusformat.nexus import (NXdata, | 
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changeset | 507 NXdetector, | 
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changeset | 508 NXfield, | 
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changeset | 509 NXprocess) | 
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changeset | 510 import numpy as np | 
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changeset | 511 import pyFAI | 
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changeset | 512 | 
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changeset | 513 nxprocess = NXprocess(name=integration_config.title) | 
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changeset | 514 | 
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changeset | 515 nxprocess.map_config = json.dumps(map_config.dict()) | 
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changeset | 516 nxprocess.integration_config = json.dumps(integration_config.dict()) | 
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changeset | 517 | 
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changeset | 518 nxprocess.program = 'pyFAI' | 
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changeset | 519 nxprocess.version = pyFAI.version | 
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changeset | 520 | 
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changeset | 521 for k,v in integration_config.dict().items(): | 
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changeset | 522 if k == 'detectors': | 
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changeset | 523 continue | 
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changeset | 524 nxprocess.attrs[k] = v | 
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changeset | 525 | 
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changeset | 526 for detector in integration_config.detectors: | 
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changeset | 527 nxprocess[detector.prefix] = NXdetector() | 
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changeset | 528 nxprocess[detector.prefix].local_name = detector.prefix | 
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changeset | 529 nxprocess[detector.prefix].distance = detector.azimuthal_integrator.dist | 
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changeset | 530 nxprocess[detector.prefix].distance.attrs['units'] = 'm' | 
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changeset | 531 nxprocess[detector.prefix].calibration_wavelength = detector.azimuthal_integrator.wavelength | 
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changeset | 532 nxprocess[detector.prefix].calibration_wavelength.attrs['units'] = 'm' | 
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changeset | 533 nxprocess[detector.prefix].attrs['poni_file'] = str(detector.poni_file) | 
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changeset | 534 nxprocess[detector.prefix].attrs['mask_file'] = str(detector.mask_file) | 
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changeset | 535 nxprocess[detector.prefix].raw_data_files = np.full(map_config.shape, '', dtype='|S256') | 
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changeset | 536 | 
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changeset | 537 nxprocess.data = NXdata() | 
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changeset | 538 | 
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changeset | 539 nxprocess.data.attrs['axes'] = (*map_config.dims, *integration_config.integrated_data_dims) | 
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changeset | 540 for i,dim in enumerate(map_config.independent_dimensions[::-1]): | 
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changeset | 541 nxprocess.data[dim.label] = NXfield(value=map_config.coords[dim.label], | 
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changeset | 542 units=dim.units, | 
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changeset | 543 attrs={'long_name': f'{dim.label} ({dim.units})', | 
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changeset | 544 'data_type': dim.data_type, | 
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changeset | 545 'local_name': dim.name}) | 
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changeset | 546 nxprocess.data.attrs[f'{dim.label}_indices'] = i | 
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changeset | 547 | 
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changeset | 548 for i,(coord_name,coord_values) in enumerate(integration_config.integrated_data_coordinates.items()): | 
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changeset | 549 if coord_name == 'radial': | 
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changeset | 550 type_ = pyFAI.units.RADIAL_UNITS | 
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changeset | 551 elif coord_name == 'azimuthal': | 
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changeset | 552 type_ = pyFAI.units.AZIMUTHAL_UNITS | 
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changeset | 553 coord_units = pyFAI.units.to_unit(getattr(integration_config, f'{coord_name}_units'), type_=type_) | 
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changeset | 554 nxprocess.data[coord_units.name] = coord_values | 
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changeset | 555 nxprocess.data.attrs[f'{coord_units.name}_indices'] = i+len(map_config.coords) | 
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changeset | 556 nxprocess.data[coord_units.name].units = coord_units.unit_symbol | 
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changeset | 557 nxprocess.data[coord_units.name].attrs['long_name'] = coord_units.label | 
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changeset | 558 | 
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changeset | 559 nxprocess.data.attrs['signal'] = 'I' | 
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changeset | 560 nxprocess.data.I = NXfield(value=np.empty((*tuple([len(coord_values) for coord_name,coord_values in map_config.coords.items()][::-1]), *integration_config.integrated_data_shape)), | 
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changeset | 561 units='a.u', | 
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changeset | 562 attrs={'long_name':'Intensity (a.u)'}) | 
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changeset | 563 | 
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changeset | 564 integrator = integration_config.get_multi_geometry_integrator() | 
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changeset | 565 if integration_config.integration_type == 'azimuthal': | 
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changeset | 566 integration_method = integrator.integrate1d | 
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changeset | 567 integration_kwargs = { | 
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changeset | 568 'lst_mask': [detector.mask_array for detector in integration_config.detectors], | 
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changeset | 569 'npt': integration_config.radial_npt | 
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changeset | 570 } | 
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changeset | 571 elif integration_config.integration_type == 'cake': | 
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changeset | 572 integration_method = integrator.integrate2d | 
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changeset | 573 integration_kwargs = { | 
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changeset | 574 'lst_mask': [detector.mask_array for detector in integration_config.detectors], | 
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changeset | 575 'npt_rad': integration_config.radial_npt, | 
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changeset | 576 'npt_azim': integration_config.azimuthal_npt, | 
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changeset | 577 'method': 'bbox' | 
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changeset | 578 } | 
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changeset | 579 | 
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changeset | 580 integration_processor = IntegrationProcessor() | 
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changeset | 581 integration_processor.logger.setLevel(self.logger.getEffectiveLevel()) | 
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changeset | 582 integration_processor.logger.addHandler(self.logger.handlers[0]) | 
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changeset | 583 lst_args = [] | 
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changeset | 584 for scans in map_config.spec_scans: | 
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changeset | 585 for scan_number in scans.scan_numbers: | 
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changeset | 586 scanparser = scans.get_scanparser(scan_number) | 
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changeset | 587 for scan_step_index in range(scanparser.spec_scan_npts): | 
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changeset | 588 map_index = scans.get_index(scan_number, scan_step_index, map_config) | 
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changeset | 589 detector_data = scans.get_detector_data(integration_config.detectors, scan_number, scan_step_index) | 
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changeset | 590 result = integration_processor.process((detector_data, integration_method, integration_kwargs)) | 
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changeset | 591 nxprocess.data.I[map_index] = result.intensity | 
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changeset | 592 for detector in integration_config.detectors: | 
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changeset | 593 nxprocess[detector.prefix].raw_data_files[map_index] = scanparser.get_detector_data_file(detector.prefix, scan_step_index) | 
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changeset | 594 | 
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changeset | 595 self.logger.debug(f'Constructed NXprocess in {time()-t0:.3f} seconds') | 
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changeset | 596 | 
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changeset | 597 return(nxprocess) | 
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changeset | 598 | 
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changeset | 599 class MCACeriaCalibrationProcessor(Processor): | 
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changeset | 600 '''Class representing the procedure to use a CeO2 scan to obtain tuned values | 
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changeset | 601 for the bragg diffraction angle and linear correction parameters for MCA | 
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changeset | 602 channel energies for an EDD experimental setup. | 
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changeset | 603 ''' | 
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changeset | 604 | 
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changeset | 605 def _process(self, data): | 
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changeset | 606 '''Return tuned values for 2&theta and linear correction parameters for | 
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changeset | 607 the MCA channel energies. | 
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changeset | 608 | 
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changeset | 609 :param data: input configuration for the raw data & tuning procedure | 
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changeset | 610 :type data: list[dict[str,object]] | 
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changeset | 611 :return: original configuration dictionary with tuned values added | 
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changeset | 612 :rtype: dict[str,float] | 
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changeset | 613 ''' | 
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changeset | 614 | 
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changeset | 615 calibration_config = self.get_config(data) | 
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changeset | 616 | 
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changeset | 617 tth, slope, intercept = self.calibrate(calibration_config) | 
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changeset | 618 | 
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changeset | 619 calibration_config.tth_calibrated = tth | 
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changeset | 620 calibration_config.slope_calibrated = slope | 
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changeset | 621 calibration_config.intercept_calibrated = intercept | 
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changeset | 622 | 
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changeset | 623 return(calibration_config.dict()) | 
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changeset | 624 | 
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changeset | 625 def get_config(self, data): | 
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changeset | 626 '''Get an instance of the configuration object needed by this | 
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changeset | 627 `Processor` from a returned value of `Reader.read` | 
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changeset | 628 | 
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changeset | 629 :param data: Result of `Reader.read` where at least one item has the | 
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changeset | 630 value `'MCACeriaCalibrationConfig'` for the `'schema'` key. | 
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changeset | 631 :type data: list[dict[str,object]] | 
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changeset | 632 :raises Exception: If a valid config object cannot be constructed from `data`. | 
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changeset | 633 :return: a valid instance of a configuration object with field values | 
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changeset | 634 taken from `data`. | 
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changeset | 635 :rtype: MCACeriaCalibrationConfig | 
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changeset | 636 ''' | 
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changeset | 637 | 
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changeset | 638 from CHAP.models.edd import MCACeriaCalibrationConfig | 
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changeset | 639 | 
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changeset | 640 calibration_config = False | 
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changeset | 641 if isinstance(data, list): | 
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changeset | 642 for item in data: | 
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changeset | 643 if isinstance(item, dict): | 
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changeset | 644 if item.get('schema') == 'MCACeriaCalibrationConfig': | 
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changeset | 645 calibration_config = item.get('data') | 
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changeset | 646 break | 
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changeset | 647 | 
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changeset | 648 if not calibration_config: | 
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changeset | 649 raise(ValueError('No MCA ceria calibration configuration found in input data')) | 
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changeset | 650 | 
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changeset | 651 return(MCACeriaCalibrationConfig(**calibration_config)) | 
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changeset | 652 | 
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changeset | 653 def calibrate(self, calibration_config): | 
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changeset | 654 '''Iteratively calibrate 2&theta by fitting selected peaks of an MCA | 
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changeset | 655 spectrum until the computed strain is sufficiently small. Use the fitted | 
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changeset | 656 peak locations to determine linear correction parameters for the MCA's | 
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changeset | 657 channel energies. | 
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changeset | 658 | 
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changeset | 659 :param calibration_config: object configuring the CeO2 calibration procedure | 
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changeset | 660 :type calibration_config: MCACeriaCalibrationConfig | 
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changeset | 661 :return: calibrated values of 2&theta and linear correction parameters | 
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changeset | 662 for MCA channel energies : tth, slope, intercept | 
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changeset | 663 :rtype: float, float, float | 
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changeset | 664 ''' | 
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changeset | 665 | 
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changeset | 666 from msnctools.fit import Fit, FitMultipeak | 
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changeset | 667 import numpy as np | 
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changeset | 668 from scipy.constants import physical_constants | 
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changeset | 669 | 
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changeset | 670 hc = physical_constants['Planck constant in eV/Hz'][0] * \ | 
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changeset | 671 physical_constants['speed of light in vacuum'][0] * \ | 
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changeset | 672 1e7 # We'll work in keV and A, not eV and m. | 
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changeset | 673 | 
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changeset | 674 # Collect raw MCA data of interest | 
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changeset | 675 mca_data = calibration_config.mca_data() | 
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changeset | 676 mca_bin_energies = np.arange(0, calibration_config.num_bins) * \ | 
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changeset | 677 (calibration_config.max_energy_kev / calibration_config.num_bins) | 
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changeset | 678 | 
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changeset | 679 # Mask out the corrected MCA data for fitting | 
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changeset | 680 mca_mask = calibration_config.mca_mask() | 
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changeset | 681 fit_mca_energies = mca_bin_energies[mca_mask] | 
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changeset | 682 fit_mca_intensities = mca_data[mca_mask] | 
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changeset | 683 | 
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changeset | 684 # Correct raw MCA data for variable flux at different energies | 
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changeset | 685 flux_correct = calibration_config.flux_correction_interpolation_function() | 
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changeset | 686 mca_intensity_weights = flux_correct(fit_mca_energies) | 
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changeset | 687 fit_mca_intensities = fit_mca_intensities / mca_intensity_weights | 
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changeset | 688 | 
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changeset | 689 # Get the HKLs and lattice spacings that will be used for fitting | 
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changeset | 690 tth = calibration_config.tth_initial_guess | 
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changeset | 691 fit_hkls, fit_ds = calibration_config.fit_ds() | 
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changeset | 692 c_1 = fit_hkls[:,0]**2 + fit_hkls[:,1]**2 + fit_hkls[:,2]**2 | 
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changeset | 693 | 
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changeset | 694 for iter_i in range(calibration_config.max_iter): | 
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changeset | 695 | 
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changeset | 696 ### Perform the uniform fit first ### | 
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changeset | 697 | 
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changeset | 698 # Get expected peak energy locations for this iteration's starting | 
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changeset | 699 # value of tth | 
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changeset | 700 fit_lambda = 2.0 * fit_ds * np.sin(0.5*np.radians(tth)) | 
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changeset | 701 fit_E0 = hc / fit_lambda | 
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changeset | 702 | 
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changeset | 703 # Run the uniform fit | 
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changeset | 704 best_fit, residual, best_values, best_errors, redchi, success = \ | 
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changeset | 705 FitMultipeak.fit_multipeak(fit_mca_intensities, | 
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changeset | 706 fit_E0, | 
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changeset | 707 x=fit_mca_energies, | 
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changeset | 708 fit_type='uniform') | 
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changeset | 709 | 
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changeset | 710 # Extract values of interest from the best values for the uniform fit | 
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changeset | 711 # parameters | 
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changeset | 712 uniform_fit_centers = [best_values[f'peak{i+1}_center'] for i in range(len(calibration_config.fit_hkls))] | 
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changeset | 713 # uniform_a = best_values['scale_factor'] | 
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changeset | 714 # uniform_strain = np.log(uniform_a / calibration_config.lattice_parameter_angstrom) | 
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changeset | 715 # uniform_tth = tth * (1.0 + uniform_strain) | 
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changeset | 716 # uniform_rel_rms_error = np.linalg.norm(residual) / np.linalg.norm(fit_mca_intensities) | 
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changeset | 717 | 
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changeset | 718 ### Next, perform the unconstrained fit ### | 
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changeset | 719 | 
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changeset | 720 # Use the peak locations found in the uniform fit as the initial | 
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changeset | 721 # guesses for peak locations in the unconstrained fit | 
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changeset | 722 best_fit, residual, best_values, best_errors, redchi, success = \ | 
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changeset | 723 FitMultipeak.fit_multipeak(fit_mca_intensities, | 
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changeset | 724 uniform_fit_centers, | 
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changeset | 725 x=fit_mca_energies, | 
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changeset | 726 fit_type='unconstrained') | 
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changeset | 727 | 
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changeset | 728 # Extract values of interest from the best values for the | 
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changeset | 729 # unconstrained fit parameters | 
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changeset | 730 unconstrained_fit_centers = np.array([best_values[f'peak{i+1}_center'] for i in range(len(calibration_config.fit_hkls))]) | 
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changeset | 731 unconstrained_a = 0.5 * hc * np.sqrt(c_1) / (unconstrained_fit_centers * abs(np.sin(0.5*np.radians(tth)))) | 
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changeset | 732 unconstrained_strains = np.log(unconstrained_a / calibration_config.lattice_parameter_angstrom) | 
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changeset | 733 unconstrained_strain = np.mean(unconstrained_strains) | 
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changeset | 734 unconstrained_tth = tth * (1.0 + unconstrained_strain) | 
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changeset | 735 # unconstrained_rel_rms_error = np.linalg.norm(residual) / np.linalg.norm(fit_mca_intensities) | 
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changeset | 736 | 
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changeset | 737 | 
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changeset | 738 # Update tth for the next iteration of tuning | 
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changeset | 739 prev_tth = tth | 
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changeset | 740 tth = unconstrained_tth | 
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changeset | 741 | 
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changeset | 742 # Stop tuning tth at this iteration if differences are small enough | 
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changeset | 743 if abs(tth - prev_tth) < calibration_config.tune_tth_tol: | 
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changeset | 744 break | 
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changeset | 745 | 
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changeset | 746 # Fit line to expected / computed peak locations from the last | 
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changeset | 747 # unconstrained fit. | 
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changeset | 748 fit = Fit.fit_data(fit_E0,'linear', x=unconstrained_fit_centers, nan_policy='omit') | 
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changeset | 749 slope = fit.best_values['slope'] | 
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changeset | 750 intercept = fit.best_values['intercept'] | 
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changeset | 751 | 
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changeset | 752 return(float(tth), float(slope), float(intercept)) | 
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changeset | 753 | 
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changeset | 754 class MCADataProcessor(Processor): | 
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changeset | 755 '''Class representing a process to return data from a MCA, restuctured to | 
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changeset | 756 incorporate the shape & metadata associated with a map configuration to | 
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changeset | 757 which the MCA data belongs, and linearly transformed according to the | 
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changeset | 758 results of a ceria calibration. | 
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changeset | 759 ''' | 
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changeset | 760 | 
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changeset | 761 def _process(self, data): | 
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changeset | 762 '''Process configurations for a map and MCA detector(s), and return the | 
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changeset | 763 raw MCA data collected over the map. | 
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changeset | 764 | 
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changeset | 765 :param data: input map configuration and results of ceria calibration | 
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changeset | 766 :type data: list[dict[str,object]] | 
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changeset | 767 :return: calibrated and flux-corrected MCA data | 
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changeset | 768 :rtype: nexusformat.nexus.NXentry | 
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changeset | 769 ''' | 
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changeset | 770 | 
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changeset | 771 map_config, calibration_config = self.get_configs(data) | 
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changeset | 772 nxroot = self.get_nxroot(map_config, calibration_config) | 
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changeset | 773 | 
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changeset | 774 return(nxroot) | 
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changeset | 775 | 
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changeset | 776 def get_configs(self, data): | 
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changeset | 777 '''Get instances of the configuration objects needed by this | 
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changeset | 778 `Processor` from a returned value of `Reader.read` | 
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changeset | 779 | 
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changeset | 780 :param data: Result of `Reader.read` where at least one item has the | 
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changeset | 781 value `'MapConfig'` for the `'schema'` key, and at least one item has | 
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changeset | 782 the value `'MCACeriaCalibrationConfig'` for the `'schema'` key. | 
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changeset | 783 :type data: list[dict[str,object]] | 
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changeset | 784 :raises Exception: If valid config objects cannot be constructed from `data`. | 
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changeset | 785 :return: valid instances of the configuration objects with field values | 
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changeset | 786 taken from `data`. | 
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changeset | 787 :rtype: tuple[MapConfig, MCACeriaCalibrationConfig] | 
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changeset | 788 ''' | 
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changeset | 789 | 
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changeset | 790 from CHAP.models.map import MapConfig | 
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changeset | 791 from CHAP.models.edd import MCACeriaCalibrationConfig | 
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changeset | 792 | 
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changeset | 793 map_config = False | 
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changeset | 794 calibration_config = False | 
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changeset | 795 if isinstance(data, list): | 
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changeset | 796 for item in data: | 
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changeset | 797 if isinstance(item, dict): | 
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changeset | 798 schema = item.get('schema') | 
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changeset | 799 if schema == 'MapConfig': | 
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changeset | 800 map_config = item.get('data') | 
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changeset | 801 elif schema == 'MCACeriaCalibrationConfig': | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 802 calibration_config = item.get('data') | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 803 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 804 if not map_config: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 805 raise(ValueError('No map configuration found in input data')) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 806 if not calibration_config: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 807 raise(ValueError('No MCA ceria calibration configuration found in input data')) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 808 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 809 return(MapConfig(**map_config), MCACeriaCalibrationConfig(**calibration_config)) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 810 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 811 def get_nxroot(self, map_config, calibration_config): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 812 '''Get a map of the MCA data collected by the scans in `map_config`. The | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 813 MCA data will be calibrated and flux-corrected according to the | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 814 parameters included in `calibration_config`. The data will be returned | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 815 along with relevant metadata in the form of a NeXus structure. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 816 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 817 :param map_config: the map configuration | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 818 :type map_config: MapConfig | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 819 :param calibration_config: the calibration configuration | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 820 :type calibration_config: MCACeriaCalibrationConfig | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 821 :return: a map of the calibrated and flux-corrected MCA data | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 822 :rtype: nexusformat.nexus.NXroot | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 823 ''' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 824 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 825 from nexusformat.nexus import (NXdata, | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 826 NXdetector, | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 827 NXentry, | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 828 NXinstrument, | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 829 NXroot) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 830 import numpy as np | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 831 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 832 nxroot = NXroot() | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 833 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 834 nxroot[map_config.title] = MapProcessor.get_nxentry(map_config) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 835 nxentry = nxroot[map_config.title] | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 836 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 837 nxentry.instrument = NXinstrument() | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 838 nxentry.instrument.detector = NXdetector() | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 839 nxentry.instrument.detector.calibration_configuration = json.dumps(calibration_config.dict()) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 840 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 841 nxentry.instrument.detector.data = NXdata() | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 842 nxdata = nxentry.instrument.detector.data | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 843 nxdata.raw = np.empty((*map_config.shape, calibration_config.num_bins)) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 844 nxdata.raw.attrs['units'] = 'counts' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 845 nxdata.channel_energy = calibration_config.slope_calibrated * \ | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 846 np.arange(0, calibration_config.num_bins) * \ | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 847 (calibration_config.max_energy_kev / calibration_config.num_bins) + \ | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 848 calibration_config.intercept_calibrated | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 849 nxdata.channel_energy.attrs['units'] = 'keV' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 850 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 851 for scans in map_config.spec_scans: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 852 for scan_number in scans.scan_numbers: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 853 scanparser = scans.get_scanparser(scan_number) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 854 for scan_step_index in range(scanparser.spec_scan_npts): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 855 map_index = scans.get_index(scan_number, scan_step_index, map_config) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 856 nxdata.raw[map_index] = scanparser.get_detector_data(calibration_config.detector_name, scan_step_index) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 857 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 858 nxentry.data.makelink(nxdata.raw, name=calibration_config.detector_name) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 859 nxentry.data.makelink(nxdata.channel_energy, name=f'{calibration_config.detector_name}_channel_energy') | 
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changeset | 860 if isinstance(nxentry.data.attrs['axes'], str): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 861 nxentry.data.attrs['axes'] = [nxentry.data.attrs['axes'], f'{calibration_config.detector_name}_channel_energy'] | 
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changeset | 862 else: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 863 nxentry.data.attrs['axes'] += [f'{calibration_config.detector_name}_channel_energy'] | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 864 nxentry.data.attrs['signal'] = calibration_config.detector_name | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 865 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 866 return(nxroot) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 867 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 868 class StrainAnalysisProcessor(Processor): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 869 '''Class representing a process to compute a map of sample strains by fitting | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 870 bragg peaks in 1D detector data and analyzing the difference between measured | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 871 peak locations and expected peak locations for the sample measured. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 872 ''' | 
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changeset | 873 | 
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changeset | 874 def _process(self, data): | 
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changeset | 875 '''Process the input map detector data & configuration for the strain | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 876 analysis procedure, and return a map of sample strains. | 
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changeset | 877 | 
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changeset | 878 :param data: results of `MutlipleReader.read` containing input map | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 879 detector data and strain analysis configuration | 
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changeset | 880 :type data: dict[list[str,object]] | 
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changeset | 881 :return: map of sample strains | 
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changeset | 882 :rtype: xarray.Dataset | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 883 ''' | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 884 | 
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changeset | 885 strain_analysis_config = self.get_config(data) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 886 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 887 return(data) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 888 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 889 def get_config(self, data): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 890 '''Get instances of the configuration objects needed by this | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 891 `Processor` from a returned value of `Reader.read` | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 892 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 893 :param data: Result of `Reader.read` where at least one item has the | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 894 value `'StrainAnalysisConfig'` for the `'schema'` key. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 895 :type data: list[dict[str,object]] | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 896 :raises Exception: If valid config objects cannot be constructed from `data`. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 897 :return: valid instances of the configuration objects with field values | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 898 taken from `data`. | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 899 :rtype: StrainAnalysisConfig | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 900 ''' | 
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changeset | 901 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 902 strain_analysis_config = False | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 903 if isinstance(data, list): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 904 for item in data: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 905 if isinstance(item, dict): | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 906 schema = item.get('schema') | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 907 if item.get('schema') == 'StrainAnalysisConfig': | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 908 strain_analysis_config = item.get('data') | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 909 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 910 if not strain_analysis_config: | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 911 raise(ValueError('No strain analysis configuration found in input data')) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 912 | 
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changeset | 913 return(strain_analysis_config) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 914 | 
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changeset | 915 | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 916 class OptionParser(): | 
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changeset | 917 '''User based option parser''' | 
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changeset | 918 def __init__(self): | 
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changeset | 919 self.parser = argparse.ArgumentParser(prog='PROG') | 
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changeset | 920 self.parser.add_argument("--data", action="store", | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 921 dest="data", default="", help="Input data") | 
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changeset | 922 self.parser.add_argument("--processor", action="store", | 
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changeset | 923 dest="processor", default="Processor", help="Processor class name") | 
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changeset | 924 self.parser.add_argument('--log-level', choices=logging._nameToLevel.keys(), | 
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changeset | 925 dest='log_level', default='INFO', help='logging level') | 
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changeset | 926 | 
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changeset | 927 def main(): | 
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changeset | 928 '''Main function''' | 
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changeset | 929 optmgr = OptionParser() | 
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changeset | 930 opts = optmgr.parser.parse_args() | 
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changeset | 931 clsName = opts.processor | 
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changeset | 932 try: | 
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changeset | 933 processorCls = getattr(sys.modules[__name__],clsName) | 
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changeset | 934 except: | 
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changeset | 935 print(f'Unsupported processor {clsName}') | 
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changeset | 936 sys.exit(1) | 
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changeset | 937 | 
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changeset | 938 processor = processorCls() | 
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changeset | 939 processor.logger.setLevel(getattr(logging, opts.log_level)) | 
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changeset | 940 log_handler = logging.StreamHandler() | 
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changeset | 941 log_handler.setFormatter(logging.Formatter('{name:20}: {message}', style='{')) | 
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changeset | 942 processor.logger.addHandler(log_handler) | 
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changeset | 943 data = processor.process(opts.data) | 
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planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 1401a7e1ae007a6bda260d147f9b879e789b73e0-dirty
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changeset | 944 | 
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changeset | 945 print(f"Processor {processor} operates on data {data}") | 
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changeset | 946 | 
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changeset | 947 if __name__ == '__main__': | 
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changeset | 948 main() | 
