63 lines
2 KiB
Python
63 lines
2 KiB
Python
import logging
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import json
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def load_meta_data(
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mylogger: logging.Logger, filename_meta: str, silent_mode=False
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) -> tuple[list[str], str, str, dict, dict, float, float, str]:
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if silent_mode is False:
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mylogger.info("Loading meta data")
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with open(filename_meta, "r") as file_handle:
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metadata: dict = json.load(file_handle)
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channels: list[str] = metadata["channelKey"]
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if silent_mode is False:
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mylogger.info(f"meta data: channel order: {channels}")
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mouse_markings: str = metadata["sessionMetaData"]["mouseMarkings"]
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if silent_mode is False:
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mylogger.info(f"meta data: mouse markings: {mouse_markings}")
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recording_date: str = metadata["sessionMetaData"]["date"]
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if silent_mode is False:
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mylogger.info(f"meta data: recording data: {recording_date}")
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stimulation_times: dict = metadata["sessionMetaData"]["stimulationTimes"]
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if silent_mode is False:
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mylogger.info(f"meta data: stimulation times: {stimulation_times}")
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experiment_names: dict = metadata["sessionMetaData"]["experimentNames"]
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if silent_mode is False:
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mylogger.info(f"meta data: experiment names: {experiment_names}")
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trial_recording_duration: float = float(
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metadata["sessionMetaData"]["trialRecordingDuration"]
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)
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if silent_mode is False:
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mylogger.info(
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f"meta data: trial recording duration: {trial_recording_duration} sec"
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)
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frame_time: float = float(metadata["sessionMetaData"]["frameTime"])
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if silent_mode is False:
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mylogger.info(
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f"meta data: frame time: {frame_time} sec ; frame rate: {1.0/frame_time}Hz"
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)
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mouse: str = metadata["sessionMetaData"]["mouse"]
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if silent_mode is False:
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mylogger.info(f"meta data: mouse: {mouse}")
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mylogger.info("-==- Done -==-")
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return (
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channels,
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mouse_markings,
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recording_date,
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stimulation_times,
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experiment_names,
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trial_recording_duration,
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frame_time,
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mouse,
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)
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