analyze-archive: remove unsupported HTML output as well

1 files changed, 3 insertions, 144 deletions

diff --git a/bin/analyze-archive.py b/bin/analyze-archive.py
index 723ea9b..d939c44 100755
--- a/bin/analyze-archive.py
+++ b/bin/analyze-archive.py
@@ -106,133 +106,6 @@ def model_summary_table(result_list):
     print(buf)
 
 
-def print_html_model_data(raw_data, model, pm, pq, lm, lq, am, ai, aq):
-    state_attributes = model.attributes(model.states[0])
-    trans_attributes = model.attributes(model.transitions[0])
-
-    print("# Setup")
-    print("* Input files: `", " ".join(raw_data.filenames), "`")
-    print(
-        f"""* Number of usable / performed measurements: {raw_data.preprocessing_stats["num_valid"]}/{raw_data.preprocessing_stats["num_runs"]}"""
-    )
-    print(f"""* State duration: {raw_data.setup_by_fileno[0]["state_duration"]} ms""")
-    print()
-    print("# States")
-
-    for state in model.states:
-        print()
-        print(f"## {state}")
-        print()
-        for param in model.parameters:
-            print(
-                "* {} ∈ {}".format(
-                    param,
-                    model.attr_by_name[state][
-                        "power"
-                    ].stats.distinct_values_by_param_name[param],
-                )
-            )
-        for attribute in state_attributes:
-            unit = ""
-            if attribute == "power":
-                unit = "µW"
-            static_quality = pq[state][attribute]["smape"]
-            print(
-                f"* {attribute} mean: {pm(state, attribute):.0f} {unit} (± {static_quality:.1f}%)"
-            )
-            if ai(state, attribute):
-                analytic_quality = aq[state][attribute]["smape"]
-                fstr = ai(state, attribute)["function"].model_function
-                fstr = fstr.replace("0 + ", "", 1)
-                for i, marg in enumerate(ai(state, attribute)["function"].model_args):
-                    fstr = fstr.replace(f"regression_arg({i})", str(marg))
-                fstr = fstr.replace("+ -", "-")
-                print(f"* {attribute} function: {fstr} (± {analytic_quality:.1f}%)")
-
-    print()
-    print("# Transitions")
-
-    for trans in model.transitions:
-        print()
-        print(f"## {trans}")
-        print()
-        for param in model.parameters:
-            print(
-                "* {} ∈ {}".format(
-                    param,
-                    model.attr_by_name[trans][
-                        "duration"
-                    ].stats.distinct_values_by_param_name[param],
-                )
-            )
-        for attribute in trans_attributes:
-            unit = ""
-            if attribute == "duration":
-                unit = "µs"
-            elif attribute in ["energy", "rel_energy_prev"]:
-                unit = "pJ"
-            static_quality = pq[trans][attribute]["smape"]
-            print(
-                f"* {attribute} mean: {pm(trans, attribute):.0f} {unit} (± {static_quality:.1f}%)"
-            )
-            if ai(trans, attribute):
-                analytic_quality = aq[trans][attribute]["smape"]
-                fstr = ai(trans, attribute)["function"].model_function
-                fstr = fstr.replace("0 + ", "", 1)
-                for i, marg in enumerate(ai(trans, attribute)["function"].model_args):
-                    fstr = fstr.replace(f"regression_arg({i})", str(marg))
-                fstr = fstr.replace("+ -", "-")
-                print(f"* {attribute} function: {fstr} (± {analytic_quality:.1f}%)")
-
-    print(
-        "<table><tr><th>state</th><th>"
-        + "</th><th>".join(state_attributes)
-        + "</th></tr>"
-    )
-    for state in model.states:
-        print("<tr>", end="")
-        print("<td>{}</td>".format(state), end="")
-        for attribute in state_attributes:
-            unit = ""
-            if attribute == "power":
-                unit = "µW"
-            print(
-                "<td>{:.0f} {} ({:.1f}%)</td>".format(
-                    pm(state, attribute), unit, pq[state][attribute]["smape"]
-                ),
-                end="",
-            )
-        print("</tr>")
-    print("</table>")
-
-    trans_attributes = model.attributes(model.transitions[0])
-    if "rel_energy_prev" in trans_attributes:
-        trans_attributes.remove("rel_energy_next")
-
-    print(
-        "<table><tr><th>transition</th><th>"
-        + "</th><th>".join(trans_attributes)
-        + "</th></tr>"
-    )
-    for trans in model.transitions:
-        print("<tr>", end="")
-        print("<td>{}</td>".format(trans), end="")
-        for attribute in trans_attributes:
-            unit = ""
-            if attribute == "duration":
-                unit = "µs"
-            elif attribute in ["energy", "rel_energy_prev"]:
-                unit = "pJ"
-            print(
-                "<td>{:.0f} {} ({:.1f}%)</td>".format(
-                    pm(trans, attribute), unit, pq[trans][attribute]["smape"]
-                ),
-                end="",
-            )
-        print("</tr>")
-    print("</table>")
-
-
 def get_kconfig(model):
     buf = str()
     for param_name in model.parameters:
@@ -351,18 +224,17 @@ if __name__ == "__main__":
     )
     parser.add_argument(
         "--show-models",
-        choices=["static", "paramdetection", "param", "all", "html"],
+        choices=["static", "paramdetection", "param", "all"],
         action="append",
         default=list(),
         help="static: show static model values as well as parameter detection heuristic.\n"
         "paramdetection: show stddev of static/lut/fitted model\n"
         "param: show parameterized model functions and regression variable values\n"
-        "all: all of the above\n"
-        "html: print model and quality data as HTML table on stdout",
+        "all: all of the above",
     )
     parser.add_argument(
         "--show-quality",
-        choices=["table", "summary", "all", "tex", "html"],
+        choices=["table", "summary", "all", "tex"],
         action="append",
         default=list(),
         help="table: show static/fitted/lut SMAPE and MAE for each name and attribute.\n"
@@ -898,19 +770,6 @@ if __name__ == "__main__":
             analytic_quality = model.assess(param_model)
         xv_analytic_models = None
 
-    if "html" in show_models or "html" in show_quality:
-        print_html_model_data(
-            raw_data,
-            model,
-            static_model,
-            static_quality,
-            lut_model,
-            lut_quality,
-            param_model,
-            param_info,
-            analytic_quality,
-        )
-
     if "table" in show_quality or "all" in show_quality:
         dfatool.cli.model_quality_table(
             ["static", "parameterized", "LUT"],