data_reader refactor

[MichalSzandar]

• Create abstract class DataReader and use MatDataReader or CSVReader in main based on user's data file type

[Copilot]

Pull request overview

Refactors the data ingestion layer to introduce a DataReader abstraction and selects a reader in the CLI based on the input file type, while also parameterizing the analysis window length used for FFT computations.

Changes:

• Introduce DataReader + MatDataReader scaffolding and update the pipeline entrypoint to use a reader instance.
• Add CLI flags for --data_type and --output, and thread output_dir into FFT plotting calls.
• Replace the hard-coded SAMPLES_PER_5_SEC usage in fft_analysis with WINDOW_TIME_FRAME.

Reviewed changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 11 comments.

File	Description
data/src/main.py	Switches pipeline to use a DataReader instance and adds CLI args for reader selection and output directory.
data/src/data_reader.py	Adds abstract DataReader and a MatDataReader implementation (plus a CSV stub).
data/src/consts.py	Adds WINDOW_TIME_FRAME and a DATA_READERS mapping for CLI-driven reader selection.
data/src/fft_analysis.py	Uses WINDOW_TIME_FRAME-derived sample counts for FFT frequency axis and magnitude scaling.

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[kacper-daniel]

change CSVReader to FIFReader OR keep CSVReader and add FIFReader