Remove unused python packages (#2437)

* Remove dependency on following unused python packages by updating
  requirements.txt, LICENSE, standalone binary requirements, cmake and
  docker requirements
    * matplotlib
    * kaleido
    * pymongo
    * colorlover
    * tqdm

* Remove unused code from src/utils/gui.py

* Reformat python using ruff

projects/rocprofiler-compute/CMakeLists.txt

@@ -700,8 +700,7 @@ add_custom_target(
         --include-data-files=src/lib/helper.hpp=lib/helper.hpp --include-package=dash_svg
         --include-package-data=dash_svg --include-package=dash_bootstrap_components
         --include-package-data=dash_bootstrap_components --include-package=plotly
-        --include-package-data=plotly --include-package=kaleido
-        --include-package-data=kaleido --include-package=rocprof_compute_analyze
+        --include-package-data=plotly --include-package=rocprof_compute_analyze
         --include-package-data=rocprof_compute_analyze
         --include-package=rocprof_compute_profile
         --include-package-data=rocprof_compute_profile

projects/rocprofiler-compute/LICENSE.md

@@ -25,21 +25,16 @@ SOFTWARE.
 This application uses the following dependencies and their usage is governed by their respective licenses
 Python 3 standard library: PSFL
 astunparse python library: PSFL
-colorlover python library: MIT
 dash python library: MIT
 dash-bootstrap-components python library: MIT
 dash-svg python library: MIT
-kaleido python library: MIT
-matplotlib python library: PSFL
 Nuitka specific runtime code: Apache 2.0 license
 numpy python library: BSD
 pandas python library: BSD
 plotext python library: MIT
 plotille python library: MIT
-pymongo python library: Apache 2.0 license
 pyyaml python library: MIT
 setuptools python library: MIT
 tabulate python library: MIT
 textual python library: MIT
 textual_plotext python library: MIT
-tqdm python library: MIT

projects/rocprofiler-compute/cmake/Dockerfile

@@ -57,7 +57,7 @@ RUN	echo "export PATH=$HOME/.pyenv/bin:$PATH" >> ~/.bashrc &&\
 	apt-get install -y python3-pip
 	#clang?
 
-RUN python3 -m pip install astunparse==1.6.2 colorlover dash matplotlib numpy pandas pymongo pyyaml tabulate tqdm dash-svg pyinstaller dash-bootstrap-components &&\
+RUN python3 -m pip install astunparse==1.6.2 dash numpy pandas pyyaml tabulate dash-svg pyinstaller dash-bootstrap-components &&\
 	python3 -m pip install 'cmake==3.21.4' && \
 	./rocm_install.sh &&\
     #wget -q -O - https://repo.radeon.com/rocm/rocm.gpg.key | apt-key add - && \

projects/rocprofiler-compute/docker/Dockerfile.standalone

@@ -32,7 +32,6 @@ CMD ["/bin/bash", "-c", "\
         --include-package=dash_bootstrap_components \
         --include-package-data=dash_bootstrap_components \
         --include-package=plotly --include-package-data=plotly \
-        --include-package=kaleido --include-package-data=kaleido \
         --include-package=rocprof_compute_analyze \
         --include-package-data=rocprof_compute_analyze \
         --include-package=rocprof_compute_profile \

projects/rocprofiler-compute/requirements.txt

@@ -1,19 +1,14 @@
 astunparse==1.6.2
-colorlover
 dash-bootstrap-components
 dash-svg
 dash>=3.0.0
-kaleido==0.2.1
-matplotlib
 numpy>=1.17.5
 pandas>=1.4.3
 plotext
 plotille
-pymongo
 pyyaml
 setuptools
 sqlalchemy>=2.0.42
 tabulate
 textual
 textual_plotext
-tqdm

projects/rocprofiler-compute/src/utils/gui.py

@@ -25,30 +25,20 @@
 
 from typing import Any
 
-import colorlover  # type: ignore
 import pandas as pd
 import plotly.express as px  # type: ignore
-from dash import dash_table, html  # type: ignore
+from dash import dash_table  # type: ignore
 
-from utils import schema
 from utils.logger import console_error
 
 pd.set_option(
     "mode.chained_assignment", None
 )  # ignore SettingWithCopyWarning pandas warning
 
-IS_DARK = True  # TODO: Remove hardcoded in favor of class property
-
-
-##################
-# HELPER FUNCTIONS
-##################
-def filter_df(column: str, df: pd.DataFrame, filt: list[str]) -> pd.DataFrame:
-    if not filt:
-        return df
-    return df.loc[df[schema.PMC_PERF_FILE_PREFIX][column].astype(str).isin(filt)]
-
 
+####################
+# GRAPHICAL ELEMENTS
+####################
 def multi_bar_chart(
     table_id: int, display_df: pd.DataFrame
 ) -> dict[str, dict[str, Any]]:
@@ -69,68 +59,6 @@ def multi_bar_chart(
     return nested_bar
 
 
-def discrete_background_color_bins(
-    df: pd.DataFrame, n_bins: int = 5, columns: str | list[str] = "all"
-) -> tuple[list[dict[str, Any]], html.Div]:
-    bounds = [i * (1.0 / n_bins) for i in range(n_bins + 1)]
-
-    if columns == "all":
-        df_numeric_columns = (
-            df.select_dtypes("number").drop(["id"], axis=1)
-            if "id" in df.columns
-            else df.select_dtypes("number")
-        )
-    else:
-        df_numeric_columns = df[columns]
-
-    df_max = df_numeric_columns.max().max()
-    df_min = df_numeric_columns.min().min()
-    ranges = [((df_max - df_min) * i) + df_min for i in bounds]
-
-    styles: list[dict[str, Any]] = []
-    legend: list[html.Div] = []
-
-    for i in range(1, len(bounds)):
-        min_bound = ranges[i - 1]
-        max_bound = ranges[i]
-        background_color = colorlover.scales[str(n_bins)]["seq"]["Blues"][i - 1]
-        color = "white" if i > len(bounds) / 2.0 else "inherit"
-
-        for column in df_numeric_columns.columns:
-            filter_query = f"{{{column}}} >= {min_bound}" + (
-                f" && {{{column}}} < {max_bound}" if i < len(bounds) - 1 else ""
-            )
-            styles.append({
-                "if": {
-                    "filter_query": filter_query,
-                    "column_id": column,
-                },
-                "backgroundColor": background_color,
-                "color": color,
-            })
-
-        legend.append(
-            html.Div(
-                style={"display": "inline-block", "width": "60px"},
-                children=[
-                    html.Div(
-                        style={
-                            "backgroundColor": background_color,
-                            "borderLeft": "1px rgb(50, 50, 50) solid",
-                            "height": "10px",
-                        }
-                    ),
-                    html.Small(round(min_bound, 2), style={"paddingLeft": "2px"}),
-                ],
-            )
-        )
-
-    return styles, html.Div(legend, style={"padding": "5px 0 5px 0"})
-
-
-####################
-# GRAPHICAL ELEMENTS
-####################
 def create_instruction_mix_bar_chart(display_df: pd.DataFrame, df_unit: str) -> px.bar:
     display_df = display_df.copy()
     display_df["Avg"] = display_df["Avg"].apply(lambda x: int(x) if x != "" else 0)
@@ -294,9 +222,6 @@ def build_bar_chart(
 def get_dark_mode_styles() -> tuple[
     dict[str, Any], dict[str, Any], list[dict[str, Any]]
 ]:
-    if not IS_DARK:
-        return {}, {}, []
-
     style_header = {
         "backgroundColor": "rgb(30, 30, 30)",
         "color": "white",