Add-in development tools for fx-9860G and fx-CG 50, to use with GCC and gint.
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#! /usr/bin/env python3
import getopt
import sys
import os
import fxconv
import importlib.util
help_string = f"""
usage: fxconv [<TYPE>] <INPUT> -o <OUTPUT> [--fx|--cg] [<PARAMETERS>...]
fxconv converts resources such as images and fonts into binary formats for
fxSDK applications, using gint and custom conversion formats.
When no TYPE is specified (automated mode), fxconv looks for type and
parameters in an fxconv-metadata.txt file in the same folder as the input. This
is normally the default for add-ins.
When TYPE is specified (one-shot conversion), it should be one of:
-b, --binary Turn data into an object file without conversion
-f, --font Convert to gint's topti font format
--bopti-image Convert to gint's bopti image format
--libimg-image Convert to the libimg image format
--custom Use a custom converter; you might want to specify an explicit
type by adding "custom-type:your_custom_type" (see below)
--converters Semicolon-separated list of custom converters (
in the current directory is detected as one per legacy)
During one-shot conversions, parameters can be specified with a "NAME:VALUE"
syntax (names can contain dots). For example:
fxconv -f myfont.png -o myfont.o charset:ascii grid.padding:1 height:7
Some formats differ between platforms so you should specify it when possible:
--fx Casio fx-9860G family (black-and-white calculators)
--cg Casio fx-CG 50 family (16-bit color calculators)
# Simple error-warnings system
FxconvError = fxconv.FxconvError
def err(msg):
print("\x1b[31;1merror:\x1b[0m", msg, file=sys.stderr)
return 1
def warn(msg):
print("\x1b[33;1mwarning:\x1b[0m", msg, file=sys.stderr)
# "converters" module from the user project... if it exists. This
# auto-detection is legacy, you should use --converters instead.
import converters as conv
converters = [conv.convert]
except ImportError:
converters = []
def main():
types = "binary image font bopti-image libimg-image custom"
mode = ""
output = None
model = None
target = { 'toolchain': None, 'arch': None, 'section': None }
use_custom = False
converter_paths = []
# Parse command-line arguments
if len(sys.argv) == 1:
print(help_string, file=sys.stderr)
longs = ["help", "output=", "toolchain=", "arch=", "section=", "fx",
"cg", "converters="] + types.split()
opts, args = getopt.gnu_getopt(sys.argv[1:], "hsbifo:", longs)
except getopt.GetoptError as error:
return err(error)
for name, value in opts:
# Print usage
if name == "--help":
print(help_string, file=sys.stderr)
return 0
elif name in [ "-o", "--output" ]:
output = value
elif name in [ "--fx", "--cg" ]:
model = name[2:]
elif name == "--toolchain":
target['toolchain'] = value
elif name == "--arch":
target['arch'] = value
elif name == "--section":
target['section'] = value
elif name == "--custom":
use_custom = True
mode = "custom"
elif name == "--converters":
converter_paths = [path for path in value.split(";") if path]
# Other names are modes
mode = name[1] if len(name)==2 else name[2:]
# Remaining arguments
if args == []:
err(f"no input file")
input = args.pop(0)
# In automatic mode, look for information in fxconv-metadata.txt
if mode == "":
metadata_file = os.path.dirname(input) + "/fxconv-metadata.txt"
if not os.path.exists(metadata_file):
return err(f"using auto mode but {metadata_file} does not exist")
metadata = fxconv.Metadata(path=metadata_file)
params = metadata.rules_for(input)
if params is None:
return err(f"no metadata specified for {input}")
if "section" in params:
target["section"] = params["section"]
# In manual conversion modes, read parameters from the command-line
params = fxconv.parse_parameters(args)
if "type" in params or "custom-type" in params:
elif len(mode) == 1:
params["type"] = { "b": "binary", "i": "image", "f": "font" }[mode]
params["type"] = mode
# Will be deprecated in the future
if params.get("type") == "image":
warn("type 'image' is deprecated, use 'bopti-image' instead")
params["type"] = "bopti-image"
# Load custom converters:
for path in converter_paths:
spec = importlib.util.spec_from_file_location("converters", path)
module = importlib.util.module_from_spec(spec)
fxconv.convert(input, params, target, output, model, converters)
if __name__ == "__main__":
except fxconv.FxconvError as e: