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New simple_charts utility
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Signed-off-by: colramos-amd <colramos@amd.com>
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coleramos425 committed Jul 18, 2023
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119 changes: 119 additions & 0 deletions src/omniperf_analyze/utils/simple_charts.py
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##############################################################################bl
# MIT License
#
# Copyright (c) 2021 - 2023 Advanced Micro Devices, Inc. All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
##############################################################################el

import plotly.express as px
import pandas as pd


# Notes:
# This file includes implementation of a few simple but common charts in CLI.
# We try to auto-size the layout to cover most of the cases as default. If it
# doesn't work, apply style config in yaml for each dashboard.


def simple_bar(df, title: str = None, id=None, style: dict = None, orientation="h"):
"""
Plot data with simple bar chart
"""

# TODO: handle None properly
if "Metric" in df.columns and ("Count" in df.columns or "Value" in df.columns):
detected_label = "Count" if "Count" in df.columns else "Value"
df[detected_label] = [
x.astype(int) if x != "" else int(0) for x in df[detected_label]
]
else:
raise NameError("simple_bar: No Metric or Count in df columns!")

# Assign figure characteristics
range_color = style.get("range_color", None)
label_txt = style.get("label_txt", None)
xrange = style.get("xrange", None)
if label_txt is not None:
label_txt = label_txt.strip("()")
try:
label_txt = label_txt.replace("+ $normUnit", df["Unit"][0])
except KeyError:
print("No units found in df. Auto labeling.")

# Overrides for figure chatacteristics
if id == 1701.1:
label_txt = "%"
range_color = [0, 100]
xrange = [0, 110]
if id == 1701.2:
label_txt = "Gb/s"
range_color = [0, 1638]
xrange = [0, 1638]

fig = px.bar(
df,
title=title,
x=detected_label,
y="Metric",
color=detected_label,
range_color=range_color,
labels={detected_label: label_txt},
orientation=orientation,
).update_xaxes(range=xrange)

return fig


def simple_multi_bar(df, title=None, id=None):
"""
Plot data with simple multiple bar chart
"""

# TODO: handle Nan and None properly
if "Metric" in df.columns and "Avg" in df.columns:
df["Avg"] = [x.astype(int) if x != "" else int(0) for x in df["Avg"]]
else:
raise NameError("simple_multi_bar: No Metric or Count in df columns!")

dfigs = []
nested_bar = {}
df_unit = df["Unit"][0]
if id == 1604:
nested_bar = {"NC": {}, "UC": {}, "RW": {}, "CC": {}}
for index, row in df.iterrows():
nested_bar[row["Coherency"]][row["Xfer"]] = row["Avg"]
if id == 1704:
nested_bar = {"Read": {}, "Write": {}}
for index, row in df.iterrows():
nested_bar[row["Transaction"]][row["Type"]] = row["Avg"]

for group, metric in nested_bar.items():
dfigs.append(
px.bar(
title=group,
x=metric.values(),
y=metric.keys(),
labels={"x": df_unit, "y": ""},
text=metric.values(),
)
.update_xaxes(showgrid=False, rangemode="nonnegative")
.update_yaxes(showgrid=False)
)
return dfigs

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