Complete migration of SPATZ to this repository

data/simulations/temp/11km.csv

@@ -0,0 +1,926 @@
+,time,phase,declination,longitude,latitude,altitude,mach,speedofsound,x,y,z,vx,vy,vz,OMEGA_X,OMEGA_Y,OMEGA_Z,pitch_l,yaw_l,roll_l,velocity,acceleration,pressure,temperature,drag,mass_total,dts,ax,ay,az,omega_X,omega_Y,omega_Z
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data/simulations/temp/13.5.csv

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data/simulations/temp/13_5DrougeOnly.csv

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data/simulations/temp/7km 20.47.49.csv

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data/simulations/temp/7km.csv

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data/simulations/temp/7kmDrougeOnly.csv

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+988,208.274700733138,adi,1.1836240418445978,0.367917783380498,1.1859666487907403,0.380318895225441,0.110029785085195,338.831339596856,9.52236743613941,7295.42180230501,57.1548617925924,0.00774762354796499,1.02528725739468e-05,-37.2815386709374,0.0,0.0,0.0,2.8437780981927612e-05,0.00267532210827076,-0.0015106513097091693,0.0372815394759709,9.91655665736565,96839.0749513633,285.678075073809,0.454797096294503,0.0458624008321172,0.0022871857999859913,-2.860687522247949e-05,1.0613368290478137e-06,0.067643131790933,0.0,0.0,0.0
+989,209.921908329002,adi,1.1836240302678132,0.36791778871689806,1.1859666597465475,0.31900004255149,0.109625720946144,339.067596704585,9.53509070753344,7295.421820629311,-4.16403087342843,0.007700750219726029,1.19921726093337e-05,-37.1705289405189,0.0,0.0,0.0,2.8437780981927612e-05,0.00267532210827076,-0.0015106513097091693,0.0371705297382166,9.91624756220063,97551.2187498503,286.076603772154,0.45478292044815,0.0458624008321172,1.6472075958640175,-2.84562360911005e-05,1.0559082168842087e-06,0.06739267758188873,0.0,0.0,0.0

data/simulations/test.csv

@@ -0,0 +1,7 @@
+,time,longitude,latitude,altitude,pitch,roll,yaw,pitch_l_rate,roll_l_rate,yaw_l_rate,velocity,acceleration,pressure,temperature
+1,0,21.079909,67.885478,0.319000000002768,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,97551.2192454738,0
+1,1,21.079909,67.885478,0.319000000002768,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,97551.2192454738,300
+2,1.5,21.079909,67.885478,0.319000000002768,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,97551.2192454738,400
+3,2,21.079909,67.885478,0.319000000002768,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,97551.2192454738,500
+4,3,21.079909,67.885478,0.319000000002768,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,97551.2192454738,1000
+5,5,21.079909,67.885478,0.319000000002768,80.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,97551.2192454738,300

demo.ipynb

@@ -0,0 +1,272 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Preprocess the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we need to transform our simulation data into .csv files containing the data we need for our simulations. We can do that using the `preprocess_file` function in the file `preprocess.py`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import shutil\n",
+    "\n",
+    "from spatz.utils.preprocess import preprocess_file\n",
+    "\n",
+    "\n",
+    "PATH = 'data/simulations/'\n",
+    "\n",
+    "# Delete the old folder of preprocessed files.\n",
+    "if os.path.isdir(PATH + 'temp/'):\n",
+    "    shutil.rmtree(PATH + 'temp/')\n",
+    "\n",
+    "# Create the folder again.\n",
+    "os.mkdir(PATH + 'temp/')\n",
+    "\n",
+    "# Preprocess the files.\n",
+    "for file in os.listdir(PATH):\n",
+    "    if not os.path.isdir(PATH + file) and '.txt' in file:\n",
+    "        df = preprocess_file(PATH + file)\n",
+    "        df.to_csv(PATH + 'temp/' + file.replace('.txt', '.csv'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Setup the simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "First we have to create a simulation instance and specify how we want to iterate through the simulation. We choose to sample data every 0.1 seconds.\n",
+    "\n",
+    "In addition, there is the option to add delays in the sampling by adding Gaussian noise to the sampling rate. In this case data might be sampled after 0.1 + noise seconds."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from spatz.simulation import Simulation, UniformTimeSteps\n",
+    "\n",
+    "# Construct a time model.\n",
+    "timesteps = UniformTimeSteps(0.1, mu=0, sigma=0, delay_only=True)\n",
+    "\n",
+    "# Construct a simulation instance with the time model.\n",
+    "simulation = Simulation(timesteps)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we need to specify the sensors we are using. For this demo we are using the sensors used by Aquila's CAPUT v4. We call `simulation.add_sensor` with the sensor class as an argument to register and create a sensor for the simulation. This allows the sensor to fetch the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from spatz.sensors.imu.wsen_isds import WSEN_ISDS_ACC, WSEN_ISDS_GYRO\n",
+    "from spatz.sensors.pressure.ms5611_01ba03 import MS5611_01BA03\n",
+    "\n",
+    "press_sensor = simulation.add_sensor(MS5611_01BA03)\n",
+    "\n",
+    "# Use the offset argument to change the position of the imu in relation to the rocket's center of gravity.\n",
+    "accelerometer = simulation.add_sensor(WSEN_ISDS_ACC, offset=0)\n",
+    "gyro = simulation.add_sensor(WSEN_ISDS_GYRO, offset=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Run the simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With everything set up, we can load the dataset we want to explore."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<spatz.simulation.Simulation at 0x22239a355d0>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "simulation.load(PATH + 'temp/' + '7km.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The simulation class has a function `run` which allows us to loop through every time step. The returned values are the index of the current step, the time of the current step and the change in time since the last time step.\n",
+    "\n",
+    "In each iteration we can call the sensors like functions to obtain the measurements at the current time steps. Please note that calling sensors multiple times at the same time steps may result in different measurements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'kalman'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[1;32mc:\\Users\\Dario\\Documents\\Programmierung\\STA\\SPATZ\\demo.ipynb Cell 13\u001b[0m line \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/Dario/Documents/Programmierung/STA/SPATZ/demo.ipynb#X15sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mkalman\u001b[39;00m\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/Dario/Documents/Programmierung/STA/SPATZ/demo.ipynb#X15sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m logger \u001b[39m=\u001b[39m simulation\u001b[39m.\u001b[39mget_logger()\n\u001b[0;32m      <a href='vscode-notebook-cell:/c%3A/Users/Dario/Documents/Programmierung/STA/SPATZ/demo.ipynb#X15sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m \u001b[39m# Set verbose to False to disable the progress bar\u001b[39;00m\n",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'kalman'"
+     ]
+    }
+   ],
+   "source": [
+    "logger = simulation.get_logger()\n",
+    "\n",
+    "# Set verbose to False to disable the progress bar\n",
+    "for step, t, dt in simulation.run(verbose=True):\n",
+    "    # Get the sensor data for the current time\n",
+    "    press = press_sensor()\n",
+    "    acc = accelerometer()\n",
+    "    rot_rate = gyro()\n",
+    "\n",
+    "    # TODO: Add your computation here."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = logger.get_dataframe()\n",
+    "\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Do your research"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(df['time'][1:], df['mach/mach_no'][1:], label='mach number')\n",
+    "plt.plot(df['time'][1:], df['MS5611_01BA03/ts_effects'][1:], label='ts effects')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(df['mach/mach_no'][1:], df['MS5611_01BA03/ts_effects'][1:])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(df['time'][1:], df['MS5611_01BA03/pressure'][1:])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.plot(df['time'], df['WSEN_ISDS/acc_x'], label='x')\n",
+    "plt.plot(df['time'], df['WSEN_ISDS/acc_y'], label='y')\n",
+    "plt.plot(df['time'], df['WSEN_ISDS/acc_z'], label='z')\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

spatz/__init__.py

@@ -1,8 +1,8 @@
 import spatz.connections as connections
-from connections import *
+from spatz.connections import *
 
 import spatz.utils as utils
-from utils import *
+from spatz.utils import *
 
 import spatz.transforms as transforms
 from spatz.transforms import *

spatz/dataset.py

@@ -8,7 +8,7 @@ from typing import List
 from numpy.typing import ArrayLike
 from scipy.spatial.transform import Rotation
 
-from logger import Advanceable
+from spatz.logger import Advanceable
 
 
 class Phase(Enum):

spatz/sensors/__init__.py

@@ -1,6 +1,4 @@
-from sensor import Sensor
-from compound import CompoundSensor
-
-from imu import Accelerometer
-from imu import Gyroscope
-from imu import IMU
+from spatz.sensors.sensor import Sensor
+from spatz.sensors.imu import Accelerometer, Gyroscope, IMU
+from spatz.sensors.pressure import PressureSensor
+from spatz.sensors.compound import CompoundSensor

spatz/sensors/compound.py

@@ -3,7 +3,7 @@ import numpy as np
 from typing import List
 from numpy.typing import ArrayLike
 
-from sensor import Sensor
+from spatz.sensors import Sensor
 from spatz.dataset import Dataset, List
 from spatz.logger import Logger
 from spatz.transforms import Transform

spatz/sensors/imu/__init__.py

@@ -1,2 +1,3 @@
-from accelerometer import Accelerometer
-from gyroscope import Gyroscope
+from spatz.sensors.imu.accelerometer import Accelerometer
+from spatz.sensors.imu.gyroscope import Gyroscope
+from spatz.sensors.imu.imu import IMU

spatz/sensors/imu/imu.py

@@ -1,7 +1,8 @@
 from typing import List
 from spatz.dataset import Dataset, List
 from spatz.logger import Logger
-from spatz.sensors import CompoundSensor, Accelerometer, Gyroscope
+from spatz.sensors.compound import CompoundSensor
+from spatz.sensors.imu import Accelerometer, Gyroscope
 from spatz.sensors.sensor import Sensor
 from spatz.transforms import Transform
 

spatz/sensors/pressure/__init__.py

@@ -1,2 +1 @@
-from pressure import PressureSensor
-from ms5611_01ba03 import MS5611_01BA03
+from spatz.sensors.pressure.pressure import PressureSensor

spatz/sensors/pressure/ms5611_01ba03.py

@@ -1,8 +1,7 @@
 from typing import List, AnyStr
 from numpy.typing import ArrayLike
 
-from pressure import PressureSensor
-
+from spatz.sensors import PressureSensor
 from spatz.dataset import Dataset, Phase
 from spatz.logger import Logger
 from spatz.transforms import GaussianNoise, Transform

spatz/sensors/sensor.py

@@ -51,14 +51,4 @@ class Sensor:
             for i in range(len(out)):
                 self._log(f'out_{i}', out[i])
 
-        return out
-    
-
-class CompoundSensor(Sensor):
-    def __init__(self, sensors: List[Sensor]):
-        super(CompoundSensor, self).__init__(None)
-
-        self.__sensors = sensors
-
-    def _get_data(self) -> ArrayLike:
-        return np.stack([sensor() for sensor in self.__sensors])
+        return out

spatz/simulation.py

@@ -5,9 +5,9 @@ from tqdm import tqdm
 from spatz.dataset import Dataset
 from spatz.logger import Logger
 from spatz.sensors import Sensor
-from dataset import Dataset
-from logger import Logger
-from sensor import Sensor
+from spatz.dataset import Dataset
+from spatz.logger import Logger
+from spatz.sensors import Sensor
 
 
 class UniformTimeSteps:

spatz/transforms/__init__.py

@@ -1,3 +1,3 @@
-from failures import *
-from noise import *
-from transform import *
+from spatz.transforms.transform import Transform
+from spatz.transforms.noise import GaussianNoise
+from spatz.transforms.failures import Downtime

spatz/utils/__init__.py

@@ -0,0 +1 @@
+from spatz.utils.preprocess import preprocess_file

spatz/utils/preprocess.py

@@ -0,0 +1,189 @@
+import os
+import math
+import pathlib
+import pandas as pd
+
+from numpy import log10
+
+
+__all__ = [
+    'preprocess_file'
+]
+
+
+def filter_zero_steps(df: pd.DataFrame) -> pd.DataFrame:
+    """Filter all rows with time steps of length 0.
+
+    Args:
+        df (pd.DataFrame): The dataframe to preprocess.
+
+    Returns:
+        pd.DataFrame: The preprocessed dataframe.
+    """
+    dts = df['Time'].diff().fillna(1)
+    df['dts'] = dts
+
+    return df[dts != 0]
+
+
+def preprocess_velocity(df: pd.DataFrame) -> pd.DataFrame:
+    """Transforms the velocities from km/s to m/s.
+
+    Args:
+        df (pd.DataFrame): The DataFrame to preprocess.
+
+    Returns:
+        pd.DataFrame: The modified DataFrame.
+    """
+    for axis in ['x', 'y', 'z']:
+        df['v{}_FL'.format(axis)] *= 1e3
+
+    return df
+
+
+def preprocess_position(df: pd.DataFrame) -> pd.DataFrame:
+    for axis in ['x', 'y', 'z']:
+        df['{}_FL'.format(axis)] *= 1e3
+
+    return df
+
+
+def compute_acceleration(df: pd.DataFrame) -> pd.DataFrame:
+    """
+
+    Args:
+        df (pd.DataFrame): _description_
+
+    Returns:
+        pd.DataFrame: _description_
+    """
+    # Time deltas.
+    dts = df['Time'].diff().fillna(0)
+
+    for axis in ['x', 'y', 'z']:
+        # Raw differences between velocity across time steps.
+        das = df['v{}_FL'.format(axis)].diff().fillna(0)
+
+        # Velocity differences divided by time deltas.
+        df['a{}_FL'.format(axis)] = das.divide(dts).fillna(0)
+
+    return df
+
+
+def preprocess_rotations(df: pd.DataFrame) -> pd.DataFrame:
+    df['pitch_l'] *= math.pi / 180
+    df['yaw_l'] *= math.pi / 180
+    df['roll_l'] *= math.pi / 180
+    df['declination'] *= math.pi / 180
+    df['longitude'] *= math.pi / 180
+    df['latitude'] *= math.pi / 180
+
+    return df
+
+
+def compute_omegas(df: pd.DataFrame) -> pd.DataFrame:
+    dts = df['Time'].diff().fillna(0)
+
+    for axis in ['X', 'Y', 'Z']:
+        # Raw differences between omegas across time steps.
+        dos = df['OMEGA_{}'.format(axis)].diff().fillna(0)
+
+        # Omega differences divided by time deltas.
+        df['omega_{}'.format(axis)] = dos.divide(dts).fillna(0)
+
+    return df
+
+
+def preprocess_file(path):
+    """_summary_
+
+    Args:
+        path (_type_): _description_
+
+    Returns:
+        _type_: _description_
+    """
+    df = pd.read_csv(path, delimiter="\t" , encoding='latin')
+    df = df.drop(0, axis=0)
+    df = df.astype(float)
+
+    df['Phase'] = df['Phase'].replace({
+        1: 'onpad',         # rocket waiting on pad
+        2: 'loi',           # rocket liftoff
+        3: 'rci',           # rail clearance
+        4: 'eci',           # engine cutoff
+        5: 'adi'            # apogee and drogue
+    })
+
+    # Select all the relevant columns
+    df = df[[
+        'Time',
+        'Phase',
+        'declination',
+        'longitude',
+        'latitude',
+        'altitude',
+        'mach',
+        'sonic_velocity',
+        'x_FL',
+        'y_FL',
+        'z_FL',
+        'vx_FL',
+        'vy_FL',
+        'vz_FL',
+        'OMEGA_X', 
+        'OMEGA_Y', 
+        'OMEGA_Z',
+        'pitch_l',
+        'yaw_l',
+        'roll_l',
+        'flightpath_speed',
+        'acc_total',
+        'atmos_pressure',
+        'atmos_temperature',
+        'drag',
+        'mass_total'
+    ]]
+
+    df = filter_zero_steps(df)
+    df = preprocess_position(df)
+    df = preprocess_velocity(df)
+    df = compute_acceleration(df)
+    df = compute_omegas(df)
+    df = preprocess_rotations(df)
+
+    renaming = {
+        'sonic_velocity':       'speedofsound',
+        'Time':                 'time',
+        'Phase':                'phase',
+        'flightpath_speed':     'velocity',
+        'acc_total':            'acceleration',
+        'atmos_pressure':       'pressure',
+        'atmos_temperature':    'temperature',
+        'x_FL':                 'x',
+        'y_FL':                 'y',
+        'z_FL':                 'z',
+        'vx_FL':                'vx',
+        'vy_FL':                'vy',
+        'vz_FL':                'vz',
+        'ax_FL':                'ax',
+        'ay_FL':                'ay',
+        'az_FL':                'az'
+    }
+
+    df = df.rename(renaming, axis=1)
+
+    return df
+
+
+def to_traj_file(path, name, df: pd.DataFrame):
+    with open(path, 'w') as f:
+        f.write(f"#epsg 0\n#name { name }\n#fields t,px,py,pz,ex,ey,ez,vx,vy,vz\n")
+        
+    df.to_csv(path, columns=['time', 'x', 'y', 'z', 'pitch', 'yaw', 'roll', 'vx_global', 'vy_global', 'vz_global'], header=False, index=False, mode='a')
+
+
+if __name__ == '__main__':
+    for file in os.listdir('data/simulations/'):
+        df = preprocess_file('data/simulations/' + file)
+