ADDED: bom_csv_grouped_extra.py BOM generator.
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43ab160ea2
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cc825ebafe
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@ -45,6 +45,10 @@ const int eeschemaSchemaVersion = 3;
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/// Default value for bom.plugins
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/// Default value for bom.plugins
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const nlohmann::json defaultBomPlugins =
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const nlohmann::json defaultBomPlugins =
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{
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{
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{
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{ "name", "bom_csv_grouped_extra" },
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{ "path", "bom_csv_grouped_extra.py" }
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},
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{
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{
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{ "name", "bom_csv_grouped_by_value" },
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{ "name", "bom_csv_grouped_by_value" },
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{ "path", "bom_csv_grouped_by_value.py" }
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{ "path", "bom_csv_grouped_by_value.py" }
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@ -6,6 +6,7 @@ set( PYTHON_SCRIPTS_LIST
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python_scripts/kicad_netlist_reader.py
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python_scripts/kicad_netlist_reader.py
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python_scripts/bom_csv_grouped_by_value.py
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python_scripts/bom_csv_grouped_by_value.py
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python_scripts/bom_csv_grouped_by_value_with_fp.py
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python_scripts/bom_csv_grouped_by_value_with_fp.py
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python_scripts/bom_csv_grouped_extra.py
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python_scripts/bom_csv_sorted_by_ref.py
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python_scripts/bom_csv_sorted_by_ref.py
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python_scripts/bom_html_grouped_by_value.py
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python_scripts/bom_html_grouped_by_value.py
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python_scripts/bom_html_with_advanced_grouping.py
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python_scripts/bom_html_with_advanced_grouping.py
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@ -0,0 +1,109 @@
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#
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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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"""
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@package
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Output: CSV (comma-separated)
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Grouped By: Value, Footprint, specified extra fields
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Sorted By: Reference
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Fields: #, Reference, Qty, Value, Footprint, specified extra fields
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Outputs components grouped by Value, Footprint, and specified extra fields.
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Extra fields can be passed as command line arguments at the end, one field per argument.
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Command line:
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python "pathToFile/bom_csv_grouped_extra.py" "%I" "%O.csv" "Extra_Field1" "Extra_Field2"
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"""
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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 kicad_utils
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import csv
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import sys
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# Get extra fields from the command line
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extra_fields = sys.argv[3:]
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def myEqu(self, other):
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"""myEqu is a more advanced equivalence function for components which is
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used by component grouping. Normal operation is to group components based
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on their Value and Footprint.
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In this example of a more advanced equivalency operator we also compare the
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Footprint, Value and all extra fields passed from the command line. If
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these fields are not used in some parts they will simply be ignored (they
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will match as both will be empty strings).
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"""
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result = True
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if self.getValue() != other.getValue():
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result = False
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elif self.getFootprint() != other.getFootprint():
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result = False
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else:
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for field_name in extra_fields:
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if self.getField(field_name) != other.getField(field_name):
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result = False
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return result
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# Override the component equivalence operator - it is important to do this
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# before loading the netlist, otherwise all components will have the original
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# equivalency operator.
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kicad_netlist_reader.comp.__eq__ = myEqu
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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 = kicad_utils.open_file_writeUTF8(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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# 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_ALL)
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# Output a CSV header
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out.writerow(['#', 'Reference', 'Qty', 'Value', 'Footprint'] + extra_fields)
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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()
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# Output all of the component information
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index = 1
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for group in grouped:
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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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refs += component.getRef() + ", "
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c = component
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# Remove trailing comma
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refs = refs[:-2]
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# Fill in the component groups common data
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row = []
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row.append( index )
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row.append( refs )
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row.append( len(group) )
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row.append( c.getValue() )
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row.append( c.getFootprint() )
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# Add the values of extra fields
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for field_name in extra_fields:
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row.append( c.getField( field_name ) )
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out.writerow(row)
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index += 1
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