�
�� h�
� � � d dl Zd dlZd dlmZmZ d dlZd d�Zd
d�Zd� Z g d�Z
d � Z e d
k r e� � e
d � � dS dS )� N)�datetime� timedelta�data/sensor_data.csv�` c �n � � t j t j � | � � d�� � t ddd� � � � fd�t |� � D � � }d� t |� � D � � }d� t |� � D � � }d� t |� � D � � }d }t |d
z
|d z � � D ];}|t
|� � k r&d t j � d
d� � z ||< �<t j |dg|z |||d�� � }|� | d�� � |S )z0Generate sample sensor data with some anomalies.T)�exist_oki� � c �< �� g | ]}�t d |z �� � z ��S )� )�minutes)r )�.0�i�
start_times ��;C:\Users\jlmenendez\Desktop\test\anomaly_detection\utils.py�
<listcomp>z(generate_sample_data.<locals>.<listcomp> s- �� �U�U�U�Q�*�y��a�� 8� 8� 8�8�U�U�U� c �T � g | ]%}d t j � dd� � z ��&S )g 6@r g333333�?��np�random�normal�r
�_s r r z(generate_sample_data.<locals>.<listcomp> s/ � �O�O�O�q�4�"�)�*�*�1�c�2�2�2�O�O�Or c �T � g | ]%}d t j � dd� � z ��&S )g �F@r g �?r r s r r z(generate_sample_data.<locals>.<listcomp> s/ � �L�L�L�A��r�y�'�'��3�/�/�/�L�L�Lr c �T � g | ]%}d t j � dd� � z ��&S )g ��@r g�������?r r s r r z(generate_sample_data.<locals>.<listcomp> s/ � �N�N�N�a����)�)�!�S�1�1�1�N�N�Nr �0 � � g �A@r g �?�S001)� timestamp� sensor_id� temperature�humidity�pressureF)�index)
�os�makedirs�path�dirnamer �range�lenr r r �pd� DataFrame�to_csv)
�filename� num_samples�
timestampsr" r# r$ �
noon_indexr �dfr s
@r �generate_sample_datar4 s\ �� � �K������)�)�D�9�9�9�9� �$��1�%�%�J�U�U�U�U�%� �BT�BT�U�U�U�J� P�O�E�+�<N�<N�O�O�O�K�L�L��{�9K�9K�L�L�L�H�N�N�5��;M�;M�N�N�N�H� �J�
�:��>�:��>�
2�
2� =� =�� �s�;� � � � � !�B�I�$4�$4�Q��$<�$<� <�K��N��
� �#� ��K�/�&� � �
�
�
�
�B� �I�I�h�e�I�$�$�$�
�Ir c �* � t j | � � S )z Load sensor data from CSV file.)r, �read_csv)r/ s r �load_sensor_datar7 + s � �
�;�x� � � r c � � t | d � � }dt | � � � d|� d�}|dk rT| | d }|� � � D ]0\ }}|d|d � d|d � d
|d � d |d
d�d� z
}�1n|dz
}|S )z0Format detection results into a readable report.�
is_anomalyzW
Anomaly Detection Report
========================
Total samples analyzed: z
Anomalies detected: z
Anomaly Details:
r z
- Timestamp: r z
Sensor: r! z
Temperature: r" u °C
Deviation: �
anomaly_scorez.2fz
z'
No anomalies detected in the data.)�sumr+ �iterrows)�results�
anomaly_count�report� anomalies�idx�rows r �
format_reportrC 0 s� � ��� �-�.�.�M�� !��\�\�� � '� � � �F� �q����G�L� 1�2� �!�*�*�,�,� � �H�C�� � ��k�"�� ��;� �� � �
�&�� � �o�&� � � � �
�F�F� � �<�<�� �Mr ��reset_hvac_system�recalibrate_sensor�activate_backup_cooling�notify_maintenance_team� adjust_temperature_thresholdc �@ � | t vrd| � d�S dddddd�}|| S ) z(Simulate executing a correction command.zError: Unknown command '�'z0HVAC system has been reset. System restarting...zESensor recalibration initiated. This will take 5 minutes to complete.zOBackup cooling system activated. Temperature should normalize in 10-15 minutes.zAMaintenance team has been notified. Ticket #MT-2025-0124 created.u7 Temperature threshold adjusted from 30.0°C to 32.0°C.rD )�correction_commands)�commandr= s r �execute_commandrN W sJ � ��)�)�)�4�'�4�4�4�4� P� e�#t�#f�(a� � �G� �7� �r �__main__z#Sample data generated successfully!)r r )r )�pandasr, �numpyr r r r& r4 r7 rC rL rN �__name__�print� r r �<module>rU s� �� � � � � � � � � (� (� (� (� (� (� (� (� � � � �!� !� !� !�H!� !� !� !�
� � �:� � � �
�
�
� �z�������� �E�
/�0�0�0�0�0� �r
