135 lines
4.5 KiB
Python
135 lines
4.5 KiB
Python
#
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# Example python script to generate a BOM from a KiCad generic netlist
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#
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# Example: Sorted and Grouped CSV BOM
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#
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from __future__ import print_function
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# Import the KiCad python helper module and the csv formatter
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import kicad_netlist_reader
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import csv
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import sys
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if len(sys.argv) != 3:
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print("Usage ", __file__, "<generic_netlist.xml> <output.csv>", file=sys.stderr)
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sys.exit(1)
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# Generate an instance of a generic netlist, and load the netlist tree from
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# the command line option. If the file doesn't exist, execution will stop
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net = kicad_netlist_reader.netlist(sys.argv[1])
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# Open a file to write to, if the file cannot be opened output to stdout
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# instead
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try:
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f = open(sys.argv[2], 'w')
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except IOError:
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e = "Can't open output file for writing: " + sys.argv[2]
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print( __file__, ":", e, sys.stderr )
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f = sys.stdout
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# subset the components to those wanted in the BOM, controlled
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# by <configure> block in kicad_netlist_reader.py
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components = net.getInterestingComponents()
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compfields = net.gatherComponentFieldUnion(components)
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partfields = net.gatherLibPartFieldUnion()
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# remove Reference, Value, Datasheet, and Footprint, they will come from 'columns' below
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partfields -= set( ['Reference', 'Value', 'Datasheet', 'Footprint'] )
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columnset = compfields | partfields # union
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# prepend an initial 'hard coded' list and put the enchillada into list 'columns'
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columns = ['Item', 'Qty', 'Reference(s)', 'Value', 'LibPart', 'Footprint', 'Datasheet'] + sorted(list(columnset))
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# Create a new csv writer object to use as the output formatter
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out = csv.writer( f, lineterminator='\n', delimiter=',', quotechar='\"', quoting=csv.QUOTE_MINIMAL )
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# override csv.writer's writerow() to support utf8 encoding:
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def writerow( acsvwriter, columns ):
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utf8row = []
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for col in columns:
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utf8row.append( str(col).encode('utf8') )
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acsvwriter.writerow( utf8row )
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# Output a set of rows as a header providing general information
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writerow( out, ['Source:', net.getSource()] )
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writerow( out, ['Date:', net.getDate()] )
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writerow( out, ['Tool:', net.getTool()] )
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writerow( out, ['Component Count:', len(components)] )
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writerow( out, [] )
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writerow( out, ['Individual Components:'] )
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writerow( out, [] ) # blank line
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writerow( out, columns )
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# Output all the interesting components individually first:
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row = []
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for c in components:
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del row[:]
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row.append('') # item is blank in individual table
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row.append('') # Qty is always 1, why print it
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row.append( c.getRef() ) # Reference
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row.append( c.getValue() ) # Value
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row.append( c.getLibName() + ":" + c.getPartName() ) # LibPart
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#row.append( c.getDescription() )
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row.append( c.getFootprint() )
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row.append( c.getDatasheet() )
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# from column 7 upwards, use the fieldnames to grab the data
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for field in columns[7:]:
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row.append( c.getField( field ) );
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writerow( out, row )
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writerow( out, [] ) # blank line
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writerow( out, [] ) # blank line
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writerow( out, [] ) # blank line
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writerow( out, ['Collated Components:'] )
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writerow( out, [] ) # blank line
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writerow( out, columns ) # reuse same columns
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# Get all of the components in groups of matching parts + values
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# (see kicad_netlist_reader.py)
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grouped = net.groupComponents(components)
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# Output component information organized by group, aka as collated:
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item = 0
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for group in grouped:
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del row[:]
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refs = ""
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# Add the reference of every component in the group and keep a reference
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# to the component so that the other data can be filled in once per group
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for component in group:
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if len(refs) > 0:
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refs += ", "
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refs += component.getRef()
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c = component
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# Fill in the component groups common data
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# columns = ['Item', 'Qty', 'Reference(s)', 'Value', 'LibPart', 'Footprint', 'Datasheet'] + sorted(list(columnset))
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item += 1
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row.append( item )
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row.append( len(group) )
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row.append( refs );
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row.append( c.getValue() )
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row.append( c.getLibName() + ":" + c.getPartName() )
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row.append( net.getGroupFootprint(group) )
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row.append( net.getGroupDatasheet(group) )
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# from column 7 upwards, use the fieldnames to grab the data
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for field in columns[7:]:
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row.append( net.getGroupField(group, field) );
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writerow( out, row )
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f.close()
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