commit e4d6907c5d36373260dcf8b903418148683b9cea Author: Hector van der Aa Date: Wed May 27 08:51:07 2026 +0200 Initial commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..505a3b1 --- /dev/null +++ b/.gitignore @@ -0,0 +1,10 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..6324d40 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.14 diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..e72bfdd --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..2fac718 --- /dev/null +++ b/README.md @@ -0,0 +1,2 @@ +# Engine Data Processing +A set of python scripts used for processing recorded hall effect signals recorded using [Engine-Recorder](https://git.h3cx.dev/Exergie/Engine-Recorder) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..f03dc74 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "engine-data-processing" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.14" +dependencies = [ + "matplotlib>=3.10.9", + "pandas>=3.0.3", + "tqdm>=4.67.3", +] diff --git a/src/concat.py b/src/concat.py new file mode 100644 index 0000000..e2a7bdd --- /dev/null +++ b/src/concat.py @@ -0,0 +1,80 @@ +import pandas as pd +from pathlib import Path +import argparse + + +def concat_pair(r_file: Path, s_file: Path) -> pd.DataFrame: + crank_df = pd.read_csv(r_file) + cam_df = pd.read_csv(s_file) + + crank_values = crank_df.iloc[:, 0] + cam_values = cam_df.iloc[:, 0] + + start_time = min(crank_values.iloc[0], cam_values.iloc[0]) + + crank_values = crank_values - start_time + cam_values = cam_values - start_time + + rows = max(crank_values.max(), cam_values.max()) + 1 + + final_df = pd.DataFrame(index=range(rows), columns=["crank", "cam"]) + + final_df["crank"] = final_df.index.isin(crank_values).astype(int) + final_df["cam"] = final_df.index.isin(cam_values).astype(int) + final_df.index.name = "time_us" + + return final_df + + +parser = argparse.ArgumentParser() +parser.add_argument("directory", type=Path, help="Source data directory") + +args = parser.parse_args() + +directory: Path = args.directory + +if not directory.is_dir(): + parser.error(f"{directory} is not a valid directory") + +print(f"Processing data in: {directory}") + +file_groups: dict[str, dict[str, Path]] = {} + +for path in directory.glob("*.csv"): + stem = path.stem + + try: + base_name, channel = stem.rsplit("_", 1) + except ValueError: + print(f"Skipping badly named file: {path}") + continue + + if channel not in ("R", "S"): + print(f"Skipping unknown file: {path}") + continue + + file_groups.setdefault(base_name, {})[channel] = path + +file_pairs: list[tuple[Path, Path]] = [] + +for base_name, files in sorted(file_groups.items()): + if "R" not in files: + print(f"Missing R file for {base_name}") + continue + + if "S" not in files: + print(f"Missing S file for {base_name}") + continue + + file_pairs.append((files["R"], files["S"])) + +for r_file, s_file in file_pairs: + df = concat_pair(r_file, s_file) + + base_name, _ = r_file.stem.rsplit("_", 1) + output = r_file.parent / f"{base_name}_concat.csv" + + df.to_csv(output) + + +exit(0) diff --git a/src/filter.py b/src/filter.py new file mode 100644 index 0000000..a38d775 --- /dev/null +++ b/src/filter.py @@ -0,0 +1,134 @@ +from threading import Thread +import pandas as pd +from pathlib import Path +import argparse +from tqdm import tqdm + + +def find_last_crank(df: pd.DataFrame, time_us: int) -> int | None: + previous_crank_hits = df.loc[: time_us - 1] + previous_crank_hits = previous_crank_hits[previous_crank_hits["crank"] == 1] + + if previous_crank_hits.empty: + return None + + return previous_crank_hits.index[-1] + + +def find_next_crank(df: pd.DataFrame, time_us: int) -> int | None: + next_crank_hits = df.loc[time_us + 1 :] + next_crank_hits = next_crank_hits[next_crank_hits["crank"] == 1] + + if next_crank_hits.empty: + return None + + return next_crank_hits.index[0] + + +def handle_dedupe(df: pd.DataFrame, time_a: int, time_b: int) -> int: + prev_hit = find_last_crank(df, time_a) + next_hit = find_next_crank(df, time_b) + + if prev_hit is None or next_hit is None: + df.loc[time_b, "crank"] = 0 + return time_a + + delta_a_1 = abs(time_a - prev_hit) + delta_a_2 = abs(time_a - next_hit) + + delta_a_diff = abs(delta_a_1 - delta_a_2) + + delta_b_1 = abs(time_b - prev_hit) + delta_b_2 = abs(time_b - next_hit) + delta_b_diff = abs(delta_b_1 - delta_b_2) + + if delta_a_diff < delta_b_diff: + df.loc[time_b, "crank"] = 0 + return time_a + else: + df.loc[time_a, "crank"] = 0 + return time_b + + +def filter_data(file: Path) -> pd.DataFrame: + df = pd.read_csv(file).set_index("time_us", drop=False) + + last_crank = -1 + last_crank_delta = -1 + previous_crank = -1 + last_cam = -1 + last_cam_delta = -1 + + for _, row in tqdm(df.iterrows(), total=len(df)): + time_us: int = row["time_us"] + crank: int = row["crank"] + cam: int = row["cam"] + if crank == 1: + if last_crank != -1: + delta = time_us - last_crank + if ( + last_crank_delta != -1 + and abs(delta - last_crank_delta) / last_crank_delta > 0.5 + ): + valid_time = handle_dedupe(df, last_crank, time_us) + if valid_time == last_crank: + last_crank_delta = last_crank - previous_crank + else: + last_crank_delta = ( + valid_time - previous_crank + if previous_crank != -1 + else delta + ) + last_crank = valid_time + else: + last_crank_delta = delta + previous_crank = last_crank + last_crank = time_us + else: + last_crank = time_us + + if cam == 1: + if last_cam != -1: + last_cam_delta = time_us - last_cam + + last_cam = time_us + + return df + + +parser = argparse.ArgumentParser() +parser.add_argument("directory", type=Path, help="Source data directory") + +args = parser.parse_args() + +directory: Path = args.directory + +if not directory.is_dir(): + parser.error(f"{directory} is not a valid directory") + +print(f"Processing data in: {directory}") + +concat_files: list[Path] = [] + +for path in directory.glob("*.csv"): + stem = path.stem + + try: + base_name, channel = stem.rsplit("_", 1) + except ValueError: + print(f"Skipping badly named file: {path}") + continue + + if channel != "concat": + print(f"Skipping unknown file: {path}") + continue + + concat_files.append(path) + +threads: list[Thread] = [] + +for file in concat_files: + base_name, _ = file.stem.rsplit("_", 1) + output = file.parent / f"{base_name}_dedupe.csv" + out_df = filter_data(file) + out_df.to_csv(output) diff --git a/src/plot.py b/src/plot.py new file mode 100644 index 0000000..e13161b --- /dev/null +++ b/src/plot.py @@ -0,0 +1,97 @@ +import pandas as pd +import matplotlib.pyplot as plt +from pathlib import Path +import argparse + + +parser = argparse.ArgumentParser() +parser.add_argument("directory", type=Path, help="Source data directory") + +args = parser.parse_args() + +INPUT_CSV: Path = args.directory + + +# Width of the artificial pulse, in microseconds. +# Increase this if the pulses are still hard to see. +PULSE_WIDTH_US = 500 # 5 ms + +# Optional: plot only a smaller time window. +# Use None to plot the whole recording. +START_US = None +END_US = None + + +def build_pulse_trace(edge_times_us, pulse_width_us): + """ + Convert falling-edge timestamps into a drawable square pulse trace. + + Each edge becomes: + low before edge + high from edge to edge + pulse_width_us + low after that + """ + x = [] + y = [] + + for t in edge_times_us: + x.extend([t, t, t + pulse_width_us, t + pulse_width_us]) + y.extend([0, 1, 1, 0]) + + return x, y + + +def main(): + df = pd.read_csv(INPUT_CSV) + + # If the CSV has an index/time column from df_final.to_csv(), + # use the first column as time in microseconds. + time_col = df.columns[0] + + # If your CSV columns are: index, crank, cam + time_us = df[time_col] + + crank_edges = time_us[df["crank"] == 1].to_numpy() + cam_edges = time_us[df["cam"] == 1].to_numpy() + + if START_US is not None: + crank_edges = crank_edges[crank_edges >= START_US] + cam_edges = cam_edges[cam_edges >= START_US] + + if END_US is not None: + crank_edges = crank_edges[crank_edges <= END_US] + cam_edges = cam_edges[cam_edges <= END_US] + + crank_x, crank_y = build_pulse_trace(crank_edges, PULSE_WIDTH_US) + cam_x, cam_y = build_pulse_trace(cam_edges, PULSE_WIDTH_US) + + # Convert microseconds to seconds for a more readable x-axis + crank_x = [x / 1_000_000 for x in crank_x] + cam_x = [x / 1_000_000 for x in cam_x] + + # Offset cam vertically so both traces are readable + crank_y = [y * 0.8 + 0 for y in crank_y] + cam_y = [y * 0.8 + 1.2 for y in cam_y] + + plt.figure(figsize=(14, 5)) + + plt.plot(crank_x, crank_y, label="Crank") + plt.plot(cam_x, cam_y, label="Cam") + + plt.yticks([0.4, 1.6], ["Crank", "Cam"]) + plt.xlabel("Time [s]") + plt.title(f"Crank and Cam Falling Edges, pulse width = {PULSE_WIDTH_US} µs") + plt.grid(True) + plt.legend() + + if START_US is not None or END_US is not None: + start_s = START_US / 1_000_000 if START_US is not None else None + end_s = END_US / 1_000_000 if END_US is not None else None + plt.xlim(start_s, end_s) + + plt.tight_layout() + plt.show() + + +if __name__ == "__main__": + main() diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..95efe8f --- /dev/null +++ b/uv.lock @@ -0,0 +1,323 @@ +version = 1 +revision = 3 +requires-python = ">=3.14" 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