Added first files for sensor

spatz/sensors/antenna/__init__.py

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+from spatz.sensors.antenna.tx_gain import AntennaTxGain

spatz/sensors/antenna/tx_gain.py

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+from numpy.typing import ArrayLike
+from typing import List, AnyStr
+from numpy import matrix
+from typing import List
+
+import pandas as pd
+
+from spatz.sensors import Sensor
+from spatz.transforms import Transform
+from spatz.dataset import Dataset
+from spatz.logger import Logger
+
+'''
+Sensor to simulate TX antenna gain in direction of ground station
+You will need to supply a gain pattern in the form of a R^3 matrix in the following form:
+
+Returns the gain in dBi per timestep.
+
+
+gain_pattern: matrix, groundstation_offset_vector
+
+'''
+
+class GainPattern():
+    
+    def __init__(self, pattern_file):
+        self._df = pd.read_csv(pattern_file,delimiter='\t')
+        print(self._df)
+
+    def get_gain(self, phi, theta):
+        phi_left = round(phi,-1)
+        phi_right = round(phi ,-1)
+
+        theta_left = theta
+        theta_right = theta
+
+class AntennaTxGain(Sensor):
+
+
+
+    def __init__(self, dataset: Dataset, logger: Logger, transforms: List[Transform] = []):
+        super().__init__(dataset, logger, transforms)
+
+
+    def _get_data(self) -> ArrayLike | float:
+        # Get current position of rocket
+        [x,y,z] = self._dataset.fetch_values(['x', 'y', 'z'])
+        
+        # Get current rotation of rocket
+        [pitch,roll,yaw] = self._dataset.fetch_values(['pitch','roll','yaw'])
+
+        # Calculate angle between the vectors
+
+        # Fetch gain in this direction
+
+        return 0
+
+    def _sensor_specific_effects(self, x: ArrayLike) -> ArrayLike:
+        return x
+    
+
+    def _get_name(self) -> AnyStr:
+        return 'Generic Antenna TX'