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38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
import troggle.core.models as models
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from django.conf import settings
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import csv
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import re
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import os
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'''Unused and untested in 2022. Not part fo the re-engineering to make troggle work with QMs.
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'''
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#format of QM tables
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headers=['Number','Grade','Area','Description','Page reference','Nearest station','Completion description','Comment']
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def qmRow(qm):
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#mapping of troggle models to table columns is: (guess this could just be a tuple of tuples rather than a dictionary actually)
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columnsToModelFields={
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'Number':str(qm.number),
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'Grade':qm.grade,
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'Area':qm.area,
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'Description':qm.location_description,
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#'Page reference': #not implemented
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'Nearest station':qm.nearest_station_description,
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'Completion description':qm.completion_description,
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'Comment':qm.comment
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}
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qmRow=['' for x in range(len(headers))]
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for column, modelField in list(columnsToModelFields.items()):
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if modelField:
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# Very sorry about the atrocious replace below. I will fix this soon if noone beats me to it. - AC
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qmRow[headers.index(column)]=modelField.replace('\xd7','x').replace('\u201c','').replace('\u2013','').replace('\xbd','')
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return qmRow
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def writeQmTable(outfile,cave):
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cavewriter=csv.writer(outfile,lineterminator='\r')
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cavewriter.writerow(headers)
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for qm in cave.get_QMs():
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cavewriter.writerow(qmRow(qm))
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