refactor --show-model=param into lib/cli.py

3 files changed, 12 insertions, 52 deletions

diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py
index ffc0d67..c91150d 100755
--- a/bin/analyze-archive.py
+++ b/bin/analyze-archive.py
@@ -679,35 +679,15 @@ if __name__ == "__main__":
         for state in model.states:
             for attribute in model.attributes(state):
                 info = param_info(state, attribute)
-                if type(info) is df.AnalyticFunction:
-                    dfatool.cli.print_analyticinfo(f"{state:10s} {attribute:15s}", info)
-                elif type(info) is df.CARTFunction:
-                    dfatool.cli.print_cartinfo(
-                        f"{state:10s} {attribute:15s}", info, model.parameters
-                    )
-                elif type(info) is df.SplitFunction:
-                    dfatool.cli.print_splitinfo(
-                        model.parameters, info, f"{state:10s} {attribute:15s}"
-                    )
-                elif type(info) is df.StaticFunction:
-                    dfatool.cli.print_staticinfo(f"{state:10s} {attribute:15s}", info)
-                elif type(info) is df.SubstateFunction:
-                    print(f"{state:10s} {attribute:15s}: Substate (TODO)")
+                dfatool.cli.print_model(
+                    f"{state:10s} {attribute:15s}", info, model.parameters
+                )
         for trans in model.transitions:
             for attribute in model.attributes(trans):
                 info = param_info(trans, attribute)
-                if type(info) is df.AnalyticFunction:
-                    dfatool.cli.print_analyticinfo(f"{trans:10s} {attribute:15s}", info)
-                elif type(info) is df.CARTFunction:
-                    dfatool.cli.print_cartinfo(
-                        f"{trans:10s} {attribute:15s}", info, model.parameters
-                    )
-                elif type(info) is df.SplitFunction:
-                    dfatool.cli.print_splitinfo(
-                        model.parameters, info, f"{trans:10s} {attribute:15s}"
-                    )
-                elif type(info) is df.SubstateFunction:
-                    print(f"{state:10s} {attribute:15s}: Substate (TODO)")
+                dfatool.cli.print_model(
+                    f"{trans:10s} {attribute:15s}", info, model.parameters
+                )
         if args.with_substates:
             for submodel in model.submodel_by_name.values():
                 sub_param_model, sub_param_info = submodel.get_fitted()
diff --git a/bin/analyze-kconfig.py b/bin/analyze-kconfig.py
index baf3cc7..098d6ba 100755
--- a/bin/analyze-kconfig.py
+++ b/bin/analyze-kconfig.py
@@ -528,20 +528,9 @@ def main():
         for name in model.names:
             for attribute in model.attributes(name):
                 info = param_info(name, attribute)
-                if type(info) is df.AnalyticFunction:
-                    dfatool.cli.print_analyticinfo(f"{name:20s} {attribute:15s}", info)
-                elif type(info) is df.CARTFunction:
-                    dfatool.cli.print_cartinfo(
-                        f"{name:20s} {attribute:15s}", info, model.parameters
-                    )
-                elif type(info) is df.FOLFunction:
-                    dfatool.cli.print_analyticinfo(f"{name:20s} {attribute:15s}", info)
-                elif type(info) is df.SplitFunction:
-                    dfatool.cli.print_splitinfo(
-                        model.parameters, info, f"{name:20s} {attribute:15s}"
-                    )
-                elif type(info) is df.StaticFunction:
-                    dfatool.cli.print_staticinfo(f"{name:10s} {attribute:15s}", info)
+                dfatool.cli.print_model(
+                    f"{name:20s} {attribute:15s}", info, model.parameters
+                )
 
     if "table" in args.show_quality or "all" in args.show_quality:
         if xv_method is not None:
diff --git a/bin/analyze-log.py b/bin/analyze-log.py
index b1dc6ba..9c24641 100755
--- a/bin/analyze-log.py
+++ b/bin/analyze-log.py
@@ -227,18 +227,9 @@ def main():
         for name in sorted(model.names):
             for attribute in sorted(model.attributes(name)):
                 info = param_info(name, attribute)
-                if type(info) is df.AnalyticFunction:
-                    dfatool.cli.print_analyticinfo(f"{name:10s} {attribute:15s}", info)
-                elif type(info) is df.CARTFunction:
-                    dfatool.cli.print_cartinfo(
-                        f"{name:10s} {attribute:15s}", info, model.parameters
-                    )
-                elif type(info) is df.SplitFunction:
-                    dfatool.cli.print_splitinfo(
-                        model.parameters, info, f"{name:10s} {attribute:15s}"
-                    )
-                elif type(info) is df.StaticFunction:
-                    dfatool.cli.print_staticinfo(f"{state:10s} {attribute:15s}", info)
+                dfatool.cli.print_model(
+                    f"{name:10s} {attribute:15s}", info, model.parameters
+                )
 
     if "table" in args.show_quality or "all" in args.show_quality:
         if xv_method is not None: