From 39e03dbad83e8c2a60e9c9e6cb486750e8ccc8b7 Mon Sep 17 00:00:00 2001 From: Kevin Hester Date: Thu, 11 Jul 2024 16:39:05 -0700 Subject: [PATCH] add beginnings of analysis viewer (and fix poetry extras usage for tunnel) --- .vscode/launch.json | 8 ++ meshtastic/analysis/__main__.py | 137 +++++++++++++++++++++++++++++++ poetry.lock | 141 ++++++++++++++++---------------- pyproject.toml | 6 +- 4 files changed, 220 insertions(+), 72 deletions(-) create mode 100644 meshtastic/analysis/__main__.py diff --git a/.vscode/launch.json b/.vscode/launch.json index 5db7737..e034f14 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -36,6 +36,14 @@ "justMyCode": true, "args": ["--tunnel", "--debug"] }, + { + "name": "meshtastic analysis", + "type": "debugpy", + "request": "launch", + "module": "meshtastic.analysis", + "justMyCode": true, + "args": [""] + }, { "name": "meshtastic set chan", "type": "debugpy", diff --git a/meshtastic/analysis/__main__.py b/meshtastic/analysis/__main__.py new file mode 100644 index 0000000..1fe8ef7 --- /dev/null +++ b/meshtastic/analysis/__main__.py @@ -0,0 +1,137 @@ +"""Post-run analysis tools for meshtastic.""" + +import logging +import numpy as np +import pandas as pd +import plotly.express as px +import plotly.graph_objects as go +import pyarrow as pa +import pyarrow.feather as feather +from dash import Dash, Input, Output, callback, dash_table, dcc, html + +from .. import mesh_pb2, powermon_pb2 + +# per https://arrow.apache.org/docs/python/pandas.html#reducing-memory-use-in-table-to-pandas +# use this to get nullable int fields treated as ints rather than floats in pandas +dtype_mapping = { + pa.int8(): pd.Int8Dtype(), + pa.int16(): pd.Int16Dtype(), + pa.int32(): pd.Int32Dtype(), + pa.int64(): pd.Int64Dtype(), + pa.uint8(): pd.UInt8Dtype(), + pa.uint16(): pd.UInt16Dtype(), + pa.uint32(): pd.UInt32Dtype(), + pa.uint64(): pd.UInt64Dtype(), + pa.bool_(): pd.BooleanDtype(), + pa.float32(): pd.Float32Dtype(), + pa.float64(): pd.Float64Dtype(), + pa.string(): pd.StringDtype(), +} + +# sdir = '/home/kevinh/.local/share/meshtastic/slogs/20240626-152804' +sdir = "/home/kevinh/.local/share/meshtastic/slogs/latest" +dpwr = feather.read_table(f"{sdir}/power.feather").to_pandas( + types_mapper=dtype_mapping.get +) +dslog = feather.read_table(f"{sdir}/slog.feather").to_pandas( + types_mapper=dtype_mapping.get +) + + +def get_board_info(): + """Get the board information from the slog dataframe. + + tuple: A tuple containing the board ID and software version. + """ + board_info = dslog[dslog["sw_version"].notnull()] + sw_version = board_info.iloc[0]["sw_version"] + board_id = mesh_pb2.HardwareModel.Name(board_info.iloc[0]["board_id"]) + return (board_id, sw_version) + + +pmon_events = dslog[dslog["pm_mask"].notnull()] + + +pm_masks = pd.Series(pmon_events["pm_mask"]).to_numpy() + +# possible to do this with pandas rolling windows if I was smarter? +pm_changes = [(pm_masks[i - 1] ^ x if i != 0 else x) for i, x in enumerate(pm_masks)] +pm_raises = [(pm_masks[i] & x) for i, x in enumerate(pm_changes)] +pm_falls = [(~pm_masks[i] & x if i != 0 else 0) for i, x in enumerate(pm_changes)] + + +def to_pmon_names(arr) -> list[str]: + """Convert the power monitor state numbers to their corresponding names. + """ + + def to_pmon_name(n): + try: + s = powermon_pb2.PowerMon.State.Name(int(n)) + return s if s != "None" else None + except ValueError: + return None + + return [to_pmon_name(x) for x in arr] + + +pd.options.mode.copy_on_write = True +pmon_events["pm_raises"] = to_pmon_names(pm_raises) +pmon_events["pm_falls"] = to_pmon_names(pm_falls) + +pmon_raises = pmon_events[pmon_events["pm_raises"].notnull()] + + +def create_dash(): + """Create a Dash application for visualizing power consumption data.""" + app = Dash() + + def set_legend(f, name): + f["data"][0]["showlegend"] = True + f["data"][0]["name"] = name + return f + + df = dpwr + avg_pwr_lines = px.line(df, x="time", y="average_mW").update_traces( + line_color="red" + ) + set_legend(avg_pwr_lines, "avg power") + max_pwr_points = px.scatter(df, x="time", y="max_mW").update_traces( + marker_color="blue" + ) + set_legend(max_pwr_points, "max power") + min_pwr_points = px.scatter(df, x="time", y="min_mW").update_traces( + marker_color="green" + ) + set_legend(min_pwr_points, "min power") + + pmon = pmon_raises + fake_y = np.full(len(pmon), 10.0) + pmon_points = px.scatter(pmon, x="time", y=fake_y, text="pm_raises") + + # fig = avg_pwr_lines + # fig.add_trace(max_pwr_points) + # don't show minpower because not that interesting: min_pwr_points.data + fig = go.Figure(data=max_pwr_points.data + avg_pwr_lines.data + pmon_points.data) + + fig.update_layout(legend=dict(yanchor="top", y=0.99, xanchor="left", x=0.01)) + + # App layout + app.layout = [ + html.Div(children="Early Meshtastic power analysis tool testing..."), + # dash_table.DataTable(data=df.to_dict('records'), page_size=10), + dcc.Graph(figure=fig), + ] + + return app + + +def main(): + """Entry point of the script.""" + app = create_dash() + port = 8051 + logging.info(f"Running Dash visualization webapp on port {port} (publicly accessible)") + app.run_server(debug=True, host='0.0.0.0', port=port) + + +if __name__ == "__main__": + main() diff --git a/poetry.lock b/poetry.lock index e67c9f6..c49ad98 100644 --- a/poetry.lock +++ b/poetry.lock @@ -122,13 +122,13 @@ test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock [[package]] name = "astroid" -version = "3.2.2" +version = "3.2.3" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.8.0" files = [ - {file = "astroid-3.2.2-py3-none-any.whl", hash = "sha256:e8a0083b4bb28fcffb6207a3bfc9e5d0a68be951dd7e336d5dcf639c682388c0"}, - {file = "astroid-3.2.2.tar.gz", hash = "sha256:8ead48e31b92b2e217b6c9733a21afafe479d52d6e164dd25fb1a770c7c3cf94"}, + {file = 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web-apps. 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