Added csv_to_array tool
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117
tools/csv_to_array/__main__.py
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117
tools/csv_to_array/__main__.py
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import argparse
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import os
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import csv
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parser = argparse.ArgumentParser(description="Convert CSV to .h defines")
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parser.add_argument("--csv", required=True, help="Path to CSV file")
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parser.add_argument("--output", required=True, help="Path to output .h file")
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parser.add_argument("--variable", required=True, help="Name of generated array variable")
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parser.add_argument('--index-include-path', required=False, default='', help="Include path for index defines")
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parser.add_argument('--index-prefix', required=False, default='', help="Prefix for index defines")
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parser.add_argument('--index-column', required=True, help="Column name for index values")
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parser.add_argument('--data-column', required=True, help="Column name for data values")
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args = parser.parse_args()
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# Start Header
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outHeader = "#pragma once\n"
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outHeader += "#include \"dusk.h\"\n"
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if args.index_include_path:
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outHeader += f'#include "{args.index_include_path}"\n'
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outHeader += "\n"
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# Read CSV file
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with open(args.csv, newline='') as csvfile:
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reader = csv.reader(csvfile)
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headers = next(reader)
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# Ensure both index and data columns exist.
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if args.index_column not in headers:
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raise ValueError(f"Index column '{args.index_column}' not found in CSV headers")
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if args.data_column not in headers:
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raise ValueError(f"Data column '{args.data_column}' not found in CSV headers")
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# Create key-value pairs from CSV rows.
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index_col_idx = headers.index(args.index_column)
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data_col_idx = headers.index(args.data_column)
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keyValuePairs = {}
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for row in reader:
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key = row[index_col_idx]
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value = row[data_col_idx]
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# Don't allow duplicate keys.
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if key in keyValuePairs:
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raise ValueError(f"Duplicate key '{key}' found in CSV")
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keyValuePairs[key] = value
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# Determine type. Can be float, int, bool, or string.
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isFloat = False
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isInt = False
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isBool = False
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isString = False
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# If there's no entries, assume string type.
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if len(keyValuePairs) == 0:
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isString = True
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else:
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allInts = True
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allFloats = True
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# Check if ALL values can be parsed as int or float.
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for value in keyValuePairs.values():
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if allInts:
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try:
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int(value)
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except:
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allInts = False
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if allFloats:
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try:
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float(value)
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except:
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allFloats = False
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if not allInts and not allFloats:
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break
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if allInts:
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isInt = True
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elif allFloats:
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isFloat = True
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else:
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# Not all floats/ints, probably string or bool, check first entry
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firstValue = next(iter(keyValuePairs.values()))
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if firstValue.lower() in ['true', 'false']:
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isBool = True
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else:
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isString = True
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typeString = ""
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if isFloat:
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typeString = "float"
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elif isInt:
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typeString = "int"
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elif isBool:
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typeString = "bool"
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elif isString:
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typeString = "char*"
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# Now begin generating header.
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outHeader += f"static const {typeString} {args.variable}[] = {{\n"
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for key in keyValuePairs:
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outHeader += f" [{args.index_prefix}{key}] = "
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value = keyValuePairs[key]
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if isFloat:
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outHeader += str(float(value))
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elif isInt:
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outHeader += str(int(value))
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elif isBool:
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asBool = 'true' if value.lower() == 'true' else 'false'
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outHeader += asBool
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elif isString:
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escaped = value.replace('\\', '\\\\').replace('"', '\\"')
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outHeader += f'"{escaped}"'
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outHeader += ",\n"
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outHeader += "};\n\n"
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# Write to output file
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with open(args.output, 'w') as outFile:
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outFile.write(outHeader)
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