diff --git a/Untitled2.ipynb b/Untitled2.ipynb new file mode 100644 index 00000000..8a3e79af --- /dev/null +++ b/Untitled2.ipynb @@ -0,0 +1,61 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "authorship_tag": "ABX9TyP30ixJ8Yfj1SlkejbeijC7", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "id": "pBq2ejVqNAE1" + }, + "outputs": [], + "source": [ + "# Conversion factors\n", + "FEET_TO_METERS = 0.3048\n", + "YARDS_TO_METERS = 0.9144\n", + "def feet_to_meters(feet):\n", + " \"\"\"\n", + " Convert feet to meters.\n", + " Parameters:\n", + " feet (float): The distance in feet.\n", + " Returns:\n", + " float: The distance in meters.\n", + " \"\"\"\n", + " return feet * FEET_TO_METERS\n", + "def yards_to_meters(yards):\n", + " \"\"\"\n", + " Convert yards to meters.\n", + " Parameters:\n", + " yards (float): The distance in yards.\n", + " Returns:\n", + " float: The distance in meters.\n", + " \"\"\"\n", + " return yards * YARDS_TO_METERS" + ] + } + ] +} \ No newline at end of file diff --git a/dhamalakamal/Code/acceleration_bottom_top.py b/dhamalakamal/Code/acceleration_bottom_top.py new file mode 100644 index 00000000..1a7e6380 --- /dev/null +++ b/dhamalakamal/Code/acceleration_bottom_top.py @@ -0,0 +1,21 @@ +""" +This module demonstrates the use of the `calculate_directions_from_csv` +function from the `acceleration_calculate` module to calculate azimuth +and elevation directions between GPS points provided in a CSV file. + +The CSV file is expected to contain data that allows for the calculation +of directional angles (azimuth and elevation) for each point in relation to others. + +Functions used: + - calculate_directions_from_csv(file_path): + Calculates the azimuth and elevation directions from the data provided in the CSV file. +""" + +from acceleration_calculate import calculate_directions_from_csv + +CSV_FILE = r'dhamalakamal/Data/Accl_bottom_top.csv' +calculated_directions = calculate_directions_from_csv(CSV_FILE) + +print("Direction for points:") +for index, (azimuth, elevation) in enumerate(calculated_directions): + print(f"{index + 1}: Azimuth = {azimuth:.2f}°, Elevation = {elevation:.2f}°") diff --git a/dhamalakamal/Code/acceleration_calculate.py b/dhamalakamal/Code/acceleration_calculate.py new file mode 100644 index 00000000..2d81ce11 --- /dev/null +++ b/dhamalakamal/Code/acceleration_calculate.py @@ -0,0 +1,74 @@ +""" +This module provides functions to calculate the direction of motion from recorded acceleration data, +based on azimuth and elevation angles derived from accelerometer readings in the X, Y, and Z axes. + +Functions: + - calculate_direction(accel_x, accel_y, accel_z): Computes the azimuth (XY plane angle) and + elevation (vertical angle) from the provided acceleration data. + - calculate_directions_from_csv(file_path): Reads acceleration data from a CSV + file and calculates the direction of motion for each data point using the + calculate_direction function. + +The calculated direction is represented by two angles: + - Azimuth: The angle between the positive X-axis and the projection of the + vector onto the XY plane (in degrees). + - Elevation: The angle between the vector and the XY plane, + i.e., how "upward" or "downward" the motion is (in degrees). + +CSV File Structure: + The CSV file should contain the following columns: + - 'Acceleration_X': Acceleration data along the X-axis. + - 'Acceleration_Y': Acceleration data along the Y-axis. + - 'Acceleration_Z': Acceleration data along the Z-axis. + Additional columns like 'Timestamp' may be present, but are not used by the function. +""" + +import pandas as pd +import numpy as np + +COLS = [ + "Linear Acceleration x (m/s^2)", + "Linear Acceleration y (m/s^2)", + "Linear Acceleration z (m/s^2)" + ] + +def calculate_direction(acc_x, acc_y, acc_z): + """ + Calculate the direction of motion based on acceleration data. + Args: + accel_x (float): Acceleration in the X direction. + accel_y (float): Acceleration in the Y direction. + accel_z (float): Acceleration in the Z direction. + Returns: + tuple: A tuple containing the angles (in degrees) representing the direction + of motion in the XY plane (azimuth) and elevation. + """ + + # Calculate azimuth angle in the XY plane + direction_azimuth = np.arctan2(acc_y, acc_x) * (180 / np.pi) + # Calculate elevation angle + hypotenuse = np.sqrt(acc_x**2 + acc_y**2) + direction_elevation = np.arctan2(acc_z, hypotenuse) * (180 / np.pi) + return direction_azimuth, direction_elevation + +def calculate_directions_from_csv(file_path): + """ + Read acceleration data from a CSV file and calculate the direction of motion + for each recorded data point. + Args: + file_path (str): Path to the CSV file containing acceleration data. + Returns: + list: A list of tuples containing the azimuth and elevation angles + for each recorded acceleration data point. + """ + + # Load the acceleration data into a DataFrame + data = pd.read_csv(file_path, header=0) + directions = [] + for row in data.iterrows(): + acc_x = row[1]['Linear Acceleration x (m/s^2)'] + acc_y = row[1]['Linear Acceleration y (m/s^2)'] + acc_z = row[1]['Linear Acceleration z (m/s^2)'] + direction = calculate_direction(acc_x, acc_y, acc_z) + directions.append(direction) + return directions diff --git a/dhamalakamal/Code/circular_gps_distance.py b/dhamalakamal/Code/circular_gps_distance.py new file mode 100644 index 00000000..1cccaa24 --- /dev/null +++ b/dhamalakamal/Code/circular_gps_distance.py @@ -0,0 +1,16 @@ +""" +This module is to check the distance calculator module by passing the gps data file path +""" + +from distance_calculator import load_gps_data, calculate_distances + + +# Replace with your actual file path +GPS_DATA_FILE_PATH = "dhamalakamal/Data/Circular_path_GPS.csv" +gps_data = load_gps_data(GPS_DATA_FILE_PATH) + +if gps_data is not None: + distances = calculate_distances(gps_data) + print("Distances between adjacent GPS positions (in meters):") + for idx, distance in enumerate(distances, start=1): + print(f"Distance {idx}: {distance:.2f} meters") diff --git a/dhamalakamal/Code/convert_to_meter.py b/dhamalakamal/Code/convert_to_meter.py new file mode 100644 index 00000000..5dade7d8 --- /dev/null +++ b/dhamalakamal/Code/convert_to_meter.py @@ -0,0 +1,37 @@ +""" +Unit Conversion Module + +This module provides simple conversion functions to convert distances from +feet and yards to meters. + +Constants: + - FEET_TO_METERS: Conversion factor from feet to meters (1 foot = 0.3048 meters). + - YARDS_TO_METERS: Conversion factor from yards to meters (1 yard = 0.9144 meters). + +Functions: + - feet_to_meters(feet): Converts a given distance in feet to meters. + - yards_to_meters(yards): Converts a given distance in yards to meters. +""" +# Conversion factors +FEET_TO_METERS = 0.3048 +YARDS_TO_METERS = 0.9144 + +def feet_to_meters(feet): + """ + Convert feet to meters. + Parameters: + feet (float): The distance in feet. + Returns: + float: The distance in meters. + """ + return feet * FEET_TO_METERS + +def yards_to_meters(yards): + """ + Convert yards to meters. + Parameters: + yards (float): The distance in yards. + Returns: + float: The distance in meters. + """ + return yards * YARDS_TO_METERS diff --git a/dhamalakamal/Code/distance_calculator.py b/dhamalakamal/Code/distance_calculator.py new file mode 100644 index 00000000..c3730b2b --- /dev/null +++ b/dhamalakamal/Code/distance_calculator.py @@ -0,0 +1,80 @@ +""" +This module provides functions for calculating distance between two adjacent gps data. + +Functions: +load_gps_data(file_path): Loads GPS positions containin latitude and longitude + +calculate_distance(gps_data): Calculates distance between 2 adjacent coordinates + +haversine(lat1, lon1, lat2, lon2): Haversine function to convert and calculate distance in meters + +""" + +import math +import pandas as pd + +# Initialize global variables +# Radius of the Earth in meters +R = 6371000 +# Required columns list +COLUMNS_NEEDED = ["Latitude (°)","Longitude (°)"] + + +def load_gps_data(file_path): + """ + Load GPS positions from the CSV file containing GPS coordinates. + + :param file_path: Path to the CSV file containing GPS positions. + :return: DataFrame containing latitude and longitude. + """ + try: + # Read csv file with first row as header + gps_data = pd.read_csv(file_path, header=0) + + # Extract only the latitude and longitude columns + gps_lat_lon_data = gps_data[COLUMNS_NEEDED] + print("GPS data loaded successfully.") + return gps_lat_lon_data + except ImportError as e: + print(f"Error loading GPS data: {e}") + return None + +def haversine(lat1, lon1, lat2, lon2): + """ + Calculate the great-circle distance between two points on the Earth's surface + using the Haversine formula. + + :param lat1: Latitude of the first point. + :param lon1: Longitude of the first point. + :param lat2: Latitude of the second point. + :param lon2: Longitude of the second point. + :return: Distance in meters between the two points. + """ + # Convert latitude and longitude from degrees to radians + lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2]) + + # Haversine formula + dlat = lat2 - lat1 + dlon = lon2 - lon1 + a = math.sin(dlat / 2) ** 2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2) ** 2 + c = 2 * math.asin(math.sqrt(a)) + + # Distance in meters + distance = R * c + return distance + +def calculate_distances(gps_data): + """ + Calculate distances between adjacent GPS positions. + + :param gps_data: DataFrame containing GPS coordinates (latitude, longitude). + :return: List of distances between adjacent GPS positions. + """ + distances = [] + # Looping through each row of gps data to calculate distance among two adjacent coordinates + for i in range(len(gps_data) - 1): + lat1, lon1 = gps_data.iloc[i] + lat2, lon2 = gps_data.iloc[i + 1] + distance = haversine(lat1, lon1, lat2, lon2) + distances.append(distance) + return distances diff --git a/dhamalakamal/Code/test_all.py b/dhamalakamal/Code/test_all.py new file mode 100644 index 00000000..7e41a0fc --- /dev/null +++ b/dhamalakamal/Code/test_all.py @@ -0,0 +1,245 @@ +""" +Unit Tests Module + +This module provides a function `convert_to_meters` that converts various units +of length to meters. It supports common units such as kilometers, centimeters, +millimeters, inches, feet, yards, and miles. + +The module also contains unit tests using `pytest` to verify the accuracy of +the conversion function. The tests cover a range of conversions and check for +correct error handling when an invalid unit is provided. + +Functions: + convert_to_meters(value, unit): Converts a given length from the specified + unit to meters. + + import_csv + +Test Cases: + - Test conversion from yards to meters. + - Test conversion from miles to meters. + - Test load gps data. + - Test Haversine function + - Test calculate_distances + - Test calculate_direction + - Test calculate_directions_from_csv + - Test extract_datetime_from_md + - Test read_md_file_and_convert_to_unix + +""" +from io import StringIO +import os +import pytest +import pandas as pd +import numpy as np +from convert_to_meter import feet_to_meters, yards_to_meters +from distance_calculator import load_gps_data, haversine, calculate_distances +from acceleration_calculate import calculate_direction, calculate_directions_from_csv +from unix_time import extract_datetime_from_md, read_md_file_and_convert_to_unix + +# Define the path to the existing Markdown file in the Data folder +DATA_FOLDER = os.path.join(os.path.dirname(__file__), '..', 'Data') +MD_FILE_PATH = os.path.join(DATA_FOLDER, 'KD_acceleration.md') + + +# Testing feet to meter conversion +def test_feet(): + """ + Test conversion from feet to meters. + 1 foot should equal exactly 0.3048 meters. + """ + input_val = 1 + expected = 0.3048 + + output_val = feet_to_meters(input_val) + assert output_val == expected, "The output value is not same: " + str(output_val) + +# Testing yards to meter conversion +def test_yards(): + """ + Test conversion from yards to meters. + 1 yard should equal exactly 0.9144 meters. + """ + input_val = 1 + expected = 0.9144 + + output_val = yards_to_meters(input_val) + assert output_val == expected, "The output value is not same: " + str(output_val) + +def test_load_gps_data(): + """ + Test loading of gps data from csv file + """ + # Simulate a CSV file with StringIO + csv_data = """Latitude (°),Longitude (°) + 34.052235,-118.243683 + 36.169941,-115.139832 + """ + # Use StringIO to mimic a file-like object for pandas + test_file = StringIO(csv_data) + + # Call the function to load data + gps_data = load_gps_data(test_file) + + # Check that the function returns a DataFrame with the expected columns + assert isinstance(gps_data, pd.DataFrame) + assert list(gps_data.columns) == ["Latitude (°)", "Longitude (°)"] + assert len(gps_data) == 2 + +def test_haversine(): + """ + Testing haversine function + """ + # Sample coordinates for Paris and Rome + lat1, lon1 = 48.8566, 2.3522 # Paris + lat2, lon2 = 41.9028, 12.4964 # Rome + # km to meter factor + meter_fact = 1000 + + result = haversine(lat1, lon1, lat2, lon2) + expected = 1105 * meter_fact # Approximate distance in meters between Paris and Rome + assert pytest.approx(result, 0.1) == expected + + # Test with the same points (should return 0) + result_same = haversine(lat1, lon1, lat1, lon1) + assert result_same == 0 + +def test_calculate_distances(monkeypatch): + """ + Test Calculate distances method + """ + # Create sample GPS data + data = { + "Latitude (°)": [34.052235, 36.169941, 40.712776], + "Longitude (°)": [-118.243683, -115.139832, -74.005974] + } + gps_data = pd.DataFrame(data) + + # Define a mock haversine function that returns predefined distances + def mock_haversine(lat1, lon1, lat2, lon2): + dist_val = 393000 + if (lat1, lon1, lat2, lon2) == (34.052235, -118.243683, 36.169941, -115.139832): + dist_val = 367000 # Distance between LA and Vegas (approx.) + return dist_val + + # Use monkeypatch to replace the haversine function in the gps_module + monkeypatch.setattr("distance_calculator.haversine", mock_haversine) + + # Expected distances based on the mocked haversine function + expected_distances = [367000, 393000] + + # Call the calculate_distances function + distances = calculate_distances(gps_data) + + # Check that the function returns the correct list of distances + assert distances == expected_distances + +def test_calculate_direction(): + """ + Test the calculate_direction function with various acceleration inputs. + Each test case verifies if the function correctly computes azimuth and elevation angles + for different configurations of acceleration data. + """ + # Test case 1: Acceleration only in the X direction + acc_x, acc_y, acc_z = 1.0, 0.0, 0.0 + azimuth, elevation = calculate_direction(acc_x, acc_y, acc_z) + assert np.isclose(azimuth, 0.0, atol=1e-5) + assert np.isclose(elevation, 0.0, atol=1e-5) + + # Test case 2: Acceleration only in the Y direction + acc_x, acc_y, acc_z = 0.0, 1.0, 0.0 + azimuth, elevation = calculate_direction(acc_x, acc_y, acc_z) + assert np.isclose(azimuth, 90.0, atol=1e-5) + assert np.isclose(elevation, 0.0, atol=1e-5) + + # Test case 3: Acceleration in both X and Y directions (45 degrees in XY plane) + acc_x, acc_y, acc_z = 1.0, 1.0, 0.0 + azimuth, elevation = calculate_direction(acc_x, acc_y, acc_z) + assert np.isclose(azimuth, 45.0, atol=1e-5) + assert np.isclose(elevation, 0.0, atol=1e-5) + + # Test case 4: Acceleration in Z direction, representing elevation + acc_x, acc_y, acc_z = 0.0, 0.0, 1.0 + azimuth, elevation = calculate_direction(acc_x, acc_y, acc_z) + assert np.isclose(azimuth, 0.0, atol=1e-5) + assert np.isclose(elevation, 90.0, atol=1e-5) + + # Test case 5: Acceleration in all directions (arbitrary values) + acc_x, acc_y, acc_z = 1.0, 1.0, 1.0 + azimuth, elevation = calculate_direction(acc_x, acc_y, acc_z) + assert np.isclose(azimuth, 45.0, atol=1e-5) # Expected azimuth in XY plane + assert np.isclose(elevation, 35.264, atol=1e-3) # Expected elevation angle + +def test_calculate_directions_from_csv(tmp_path): + """ + Test the calculate_directions_from_csv function by creating a mock CSV file + with known acceleration data and verifying that the returned directions + (azimuth and elevation angles) are calculated correctly. + + Args: + tmp_path: A pytest fixture providing a temporary directory for file creation. + """ + + # Define test data with known azimuth and elevation results + test_data = { + 'Linear Acceleration x (m/s^2)': [1.0, 0.0, 1.0, 0.0], + 'Linear Acceleration y (m/s^2)': [0.0, 1.0, 1.0, 0.0], + 'Linear Acceleration z (m/s^2)': [0.0, 0.0, 0.0, 1.0] + } + expected_directions = [ + (0.0, 0.0), # Only X-axis acceleration + (90.0, 0.0), # Only Y-axis acceleration + (45.0, 0.0), # Equal X and Y acceleration + (0.0, 90.0) # Only Z-axis acceleration + ] + + # Create a temporary CSV file with test data + csv_file = tmp_path / "test_acceleration_data.csv" + pd.DataFrame(test_data).to_csv(csv_file, index=False) + + # Run the function with the temporary file + directions = calculate_directions_from_csv(csv_file) + + # Check that the directions returned match expected results + for i, (azimuth, elevation) in enumerate(directions): + expected_azimuth, expected_elevation = expected_directions[i] + assert np.isclose(azimuth, expected_azimuth, atol=1e-5), f"Azimuth mismatch at index {i}" + assert np.isclose( + elevation, expected_elevation, + atol=1e-5 + ), f"Elevation mismatch at index {i}" + +def test_extract_datetime_from_md(): + """ + Test the extract_datetime_from_md function to ensure it correctly extracts + and converts date strings from Markdown content into Unix time. + """ + + # Test case: Valid date and time + with open(MD_FILE_PATH, 'r', encoding='utf-8') as md_file: + content = md_file.read() + expected_unix_time = 1729507192 + assert extract_datetime_from_md( + content, + date_pattern=r'\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}' + ) == expected_unix_time + + # Test case: Invalid date format + invalid_content = "This content has no valid date." + assert extract_datetime_from_md(invalid_content) is None + +def test_read_md_file_and_convert_to_unix(): + """ + Test the read_md_file_and_convert_to_unix function to ensure it correctly + reads a markdown file and converts date strings to Unix time. + """ + # Read the valid file and get the Unix time + expected_unix_time = 1729507192 # Updated expected Unix time + assert read_md_file_and_convert_to_unix( + MD_FILE_PATH, + date_pattern=r'\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}' + ) == expected_unix_time + + # Test case: Non-existent file handling + with pytest.raises(FileNotFoundError): + read_md_file_and_convert_to_unix('non_existent_file.md') diff --git a/dhamalakamal/Code/unix_time.py b/dhamalakamal/Code/unix_time.py new file mode 100644 index 00000000..2fc4d8cf --- /dev/null +++ b/dhamalakamal/Code/unix_time.py @@ -0,0 +1,62 @@ +""" +This module provides functions to extract date and time information from a Markdown file +and convert it to Unix time. + +Functions: + - extract_datetime_from_md(md_content, date_pattern, time_format): + Extracts a date and time string from the Markdown content based on a regular + expression pattern and converts it to Unix time. + - read_md_file_and_convert_to_unix(file_path, date_pattern): + Reads a Markdown file, extracts a date and time string, and converts it to Unix time. +""" + +import re +from datetime import datetime + +def extract_datetime_from_md( + md_content,date_pattern=r'\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}', + time_format='%Y-%m-%d %H:%M:%S' + ): + """ + Extracts a date and time string from Markdown content based on a specified pattern + and converts it to Unix time. + + Args: + md_content (str): The content of the markdown file. + date_pattern (str): A regular expression pattern to match the date and time string. + Default is 'YYYY-MM-DD HH:MM:SS'. + time_format (str): The format in which the date string is provided. + Default is '%Y-%m-%d %H:%M:%S'. + + Returns: + int: Unix time (number of seconds since the Unix epoch), or None if no date is found. + """ + # Search for the date pattern in the Markdown content + match = re.search(date_pattern, md_content) + if match: + date_str = match.group() + # Convert the matched date string to Unix time + dt = datetime.strptime(date_str, time_format) + unix_converted_time = int(dt.timestamp()) + return unix_converted_time + return None + +def read_md_file_and_convert_to_unix( + file_path, date_pattern=r'\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}' + ): + """ + Reads a markdown file, extracts date and time, and converts it to Unix time. + + Args: + file_path (str): Path to the markdown (.md) file. + date_pattern (str): A regular expression pattern to match + the date and time string. Default is 'YYYY-MM-DD HH:MM:SS'. + + Returns: + int: Unix time (number of seconds since the Unix epoch), or None if no date is found. + """ + # Read the markdown file content + with open(file_path, 'r', encoding='utf-8') as file: # pylint: disable=unused-variable + md_content = file.read() + # Extract and convert the date and time to Unix time + return extract_datetime_from_md(md_content, date_pattern) diff --git a/dhamalakamal/Code/unix_time_calculation.py b/dhamalakamal/Code/unix_time_calculation.py new file mode 100644 index 00000000..4bedb9ca --- /dev/null +++ b/dhamalakamal/Code/unix_time_calculation.py @@ -0,0 +1,12 @@ +""" +Unix Time Calculation Module + +""" +from unix_time import read_md_file_and_convert_to_unix + +MD_FILE = r'D:\Projects\CP1-24-midterm\dhamalakamal\Documentation\KD_acceleration.md' +unix_time = read_md_file_and_convert_to_unix(MD_FILE) +if unix_time is not None: + print(f"Unix time: {unix_time}") +else: + print("No valid date found in the markdown file.") diff --git a/dhamalakamal/Data/Accl_bottom_top.csv b/dhamalakamal/Data/Accl_bottom_top.csv new file mode 100644 index 00000000..76188969 --- /dev/null +++ b/dhamalakamal/Data/Accl_bottom_top.csv @@ -0,0 +1,2034 @@ +"Time (s)","Linear Acceleration x (m/s^2)","Linear Acceleration y (m/s^2)","Linear Acceleration z (m/s^2)","Absolute acceleration (m/s^2)" +5.417500040E-3,8.184289277E-2,-4.193408181E-1,4.647542417E-2,4.297731330E-1 +1.546749996E-2,-1.580435148E-1,-1.701036894E-1,6.124274272E-1,6.549659314E-1 +2.551650000E-2,-3.105500087E-1,4.014230490E-2,1.007306857E0,1.054855354E0 +3.556650004E-2,-3.535418080E-1,9.885500126E-2,1.009905944E0,1.074557648E0 +4.561649996E-2,-3.296209949E-1,5.152266763E-2,6.740290135E-1,7.520769220E-1 +5.566550000E-2,-1.836880870E-1,2.554085724E-2,1.451705772E-1,2.355167620E-1 +6.571550004E-2,-4.934976920E-2,4.955179051E-2,-3.286070877E-1,3.359663640E-1 +7.576549996E-2,-3.507642344E-2,6.369320847E-2,-5.457481188E-1,5.505707851E-1 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+1.155619086E3,4.295216929E1,-7.883228623E1,1.973267481E2,1.627291482E2,7.308775882E-1,1.736474972E2,"",7.593885048E0,3.000000000E0,-1.000000000E0 \ No newline at end of file diff --git a/dhamalakamal/Data/KD_GPS_circular.md b/dhamalakamal/Data/KD_GPS_circular.md new file mode 100644 index 00000000..06853481 --- /dev/null +++ b/dhamalakamal/Data/KD_GPS_circular.md @@ -0,0 +1,8 @@ +## Date and Time of the GPS coordinates recorded (Circular path) +2024-10-19 09:34:31.363 UTC-04:00 to 2024-10-19 09:54:44.200 UTC-04:00 + +## Weather Condition +Temperature: $58^\circ\ \text{F}$ + +## Wind speed +11 mph diff --git a/dhamalakamal/Data/KD_GPS_triangular.md b/dhamalakamal/Data/KD_GPS_triangular.md new file mode 100644 index 00000000..b114adbd --- /dev/null +++ b/dhamalakamal/Data/KD_GPS_triangular.md @@ -0,0 +1,8 @@ +## Date and Time of the GPS coordinates recorded (Triangular path) +2024-10-19 09:48:48.405 UTC-04:00 to 2024-10-19 10:03:54.562 UTC-04:00 + +## Weather Condition +Temperature: $58^\circ\ \text{F}$ + +## Wind speed +11 mph diff --git a/dhamalakamal/Data/KD_acceleration.md b/dhamalakamal/Data/KD_acceleration.md new file mode 100644 index 00000000..9d55bdb4 --- /dev/null +++ b/dhamalakamal/Data/KD_acceleration.md @@ -0,0 +1,8 @@ +## Date and Time of the GPS coordinates recorded (Circular path) +2024-10-21 10:39:52.782 UTC-04:00 + +## Weather Condition +Temperature: $64^\circ\ \text{F}$ + +## Wind speed +No effect of wind inside the elevation diff --git a/dhamalakamal/Data/Triangular_path_GPS.csv b/dhamalakamal/Data/Triangular_path_GPS.csv new file mode 100644 index 00000000..c7e81d7d --- /dev/null +++ b/dhamalakamal/Data/Triangular_path_GPS.csv @@ -0,0 +1,794 @@ +"Time (s)","Latitude (°)","Longitude (°)","Altitude (m)","Altitude WGS84 (m)","Speed (m/s)","Direction (°)","Distance (km)","Horizontal Accuracy (m)","Vertical Accuracy (m)","Satellites" 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+7.991912505E2,4.295164241E1,-7.882703489E1,1.945947959E2,1.600000000E2,1.159999967E0,1.515000000E2,NaN,2.000000000E0,1.000000000E2,2.400000000E1 diff --git a/dhamalakamal/Documentation/Acceleration_Bottom_to_top.png b/dhamalakamal/Documentation/Acceleration_Bottom_to_top.png new file mode 100644 index 00000000..6fb83206 Binary files /dev/null and b/dhamalakamal/Documentation/Acceleration_Bottom_to_top.png differ diff --git a/dhamalakamal/Documentation/Acceleration_top_to_Bottom.png b/dhamalakamal/Documentation/Acceleration_top_to_Bottom.png new file mode 100644 index 00000000..e2a53894 Binary files /dev/null and b/dhamalakamal/Documentation/Acceleration_top_to_Bottom.png differ diff --git a/dhamalakamal/Documentation/HOW TO RUN.md b/dhamalakamal/Documentation/HOW TO RUN.md new file mode 100644 index 00000000..dbc87cd7 --- /dev/null +++ b/dhamalakamal/Documentation/HOW TO RUN.md @@ -0,0 +1,67 @@ +# How to run the code +This is how to run my code guide. Please follow the steps below. + +This guide explains how to run the program, execute tests, and set up your development environment. + +## Prerequisites +- Python 3.7+ +- Download Python from python.org. +- Virtual Environment (optional but recommended) +- Install virtualenv to manage dependencies: + `pip install virtualenv` +- Required Python Packages +- Install the following packages (add them to requirements.txt): + ``` + io + os + StringIO + pytest + pandas + numpy + ``` +- To install dependencies: +`pip install -r requirements.txt` + +## Setting Up +- Clone the Repository + - Clone the project to your local machine: + ``` + git clone https://github.com/dhamalakamal/CP1-24-midterm.git + cd CP1-24-midterm + git checkout mid_term + ``` +- Set Up a Virtual Environment + - Create a virtual environment: + ``` + virtualenv venv + source venv/bin/activate # On Windows: venv\Scripts\activate + ``` +- Install Dependencies + - If you have a requirements.txt, run: + `pip install -r requirements.txt` + +## Running the Program +- Run the Main Program +- To execute the main program (assuming it's in main.py): + `python main.py` +- Execute Unit Tests + - Install pytest (if not already installed): + `pip install pytest` +- Run the tests: + `pytest file_name.py` + - Example Tests + - We have all test into single file test_all.py: + ``` + pytest test_all.py + ``` + +## Common Issues & Troubleshooting +- + +## Notes +Make sure input data (CSV, markdown, etc.) is in the correct format. +Adjust mock data in test files as needed. +For large datasets, optimize functions or reduce test data size. + +## Conclusion +Follow these steps to set up, run, and test the program successfully. For questions or contributions, refer to the project’s README or submit an issue on GitHub. diff --git a/dhamalakamal/Documentation/KD_GPS_Circle_run.png b/dhamalakamal/Documentation/KD_GPS_Circle_run.png new file mode 100644 index 00000000..48ea406d Binary files /dev/null and b/dhamalakamal/Documentation/KD_GPS_Circle_run.png differ diff --git a/dhamalakamal/Documentation/KD_GPS_Triangle_run.png b/dhamalakamal/Documentation/KD_GPS_Triangle_run.png new file mode 100644 index 00000000..367b3f2d Binary files /dev/null and b/dhamalakamal/Documentation/KD_GPS_Triangle_run.png differ diff --git a/requirements.txt b/requirements.txt index b1d5e393..0d92b9e3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,4 +2,4 @@ pylint pytest numpy pandas -matplotlib +matplotlib \ No newline at end of file