itproject-code/pipeline/utils.py

import subprocess

class SourceMedia():
    """Source media used by eg feature extractors. This is a list of Source objects.

    JSON type schema:
    [{
        "source": "/path/to/video.mp4",
        "path": "/path/to/video.mp4",
        "provider": "FileInputJSON"
    },
    {
        "source": "http://example.com/video.mp4",
        "path": "/path/to/downloaded_video.mp4",
        "provider": "InputYAML"
    }]

    It should be possible to combine/merge/aggregate multiple SourceMedia into one
    TODO: consider if we actually want that or if we just loop over a list of >0 SourceMedia

    Iterating over a SourceMedia object should return a list of Source objects.
    """

    def __init__(self, sources=[]):
        self.sources = sources

    def __iter__(self):
        return iter(self.sources)

class Source():
    """A Source is a single media file (eg), used to populate SourceMedia objects.

    JSON type schema:
    {
        "source": "/path/to/video.mp4",
        "path": "/path/to/video.mp4",
        "provider": "FileInputJSON"
    }

    Instance variables:

    source -- the source of the media file (eg, a URL or a local path)
    path -- the path to the media file
    provider -- the provider of the media file (eg, "FileInputJSON")

    Accessing the object should return the path to the media file.

    Methods:

    duration() -- return the duration of the media file (uses ffprobe, result is cached)

    Notes:
     - source and path may be the same, for example in the case of a local file
    """
    _duration = None

    def __init__(self, source, path, provider):
        if not source:
            raise ValueError("Source must be provided") # TODO: #API -- decide if this is necessary
        self.source = source
        if not path:
        # we need a file to work on for the rest of the pipeline
            raise ValueError("Path must be provided")
        self.path = path
        if not provider:
            raise ValueError("Provider must be provided") # TODO: #API -- decide if this is necessary
        self.provider = provider

    def __str__(self):
        """See: 'accessing the object should return the path to the media file'"""
        return self.path

    def __repr__(self):
        return f"Source({self.source}, {self.path}, {self.provider})"

    def duration(self):
        """Return the duration of the media file at self.path (result is cached)"""
        return self._duration or self._get_duration(self.path)

    def _get_duration(self, file):
        """Use ffprobe to get the duration of the media file at self.path and cache result (_duration)

        usage: ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 <file>
        """
        # test if file exists
        try:
            with open(file) as _:
                pass
        except FileNotFoundError:
            raise FileNotFoundError(f"File not found: {file}")
        # cache the result
        self._duration = 0.0 or float(subprocess.check_output(["ffprobe", "-v", "error", "-show_entries", "format=duration", "-of", "default=noprint_wrappers=1:nokey=1", file]))
        return self._duration

    def to_json(self):
        """Return a dict representation of the source for JSON encoding

        @see video_producers.py:PipelineJSONEncoder
        """
        return dict(source=self.source, path=self.path, provider=self.provider)



class Interval():
    """An interval of time in a media file

    This can be defined by a start and end time, a start time and a duration, or an end time and a duration.

    Instance variables:

    start -- the start time of the interval
    end -- the end time of the interval
    duration -- the duration of the interval (end - start)

    Notes:

    Sorts by start time, then end time
    """
    # TODO: decide if ABC or will be used directly
    # TODO: have default duration for intervals set by config
    # TODO: consider if we want to permit adjusting intervals (eg, start time, end time, duration) [probably yes]
    # NOTE: if we have more ways of defining, we could consider multipledispatch?
    # TODO: consider if we want to keep a reference to the media file (source) in the interval

    DEFAULT_DURATION = 5 # seconds
    DEFAUT_PRECISION = 3 # decimal places

    def __init__(self, start=None, end=None, duration=None):
        if start is None and end is None and duration is None:
            raise ValueError("Two of start, end, or duration must be provided")
        if start is not None and end is not None and duration is not None:
            raise ValueError("Only two of start, end, or duration may be provided")

        # start and end
        if start is not None and end is not None:
            # some trivial validation
            if start > end:
                raise ValueError("Start time must be before end time")
            self.start = start
            self.end = end
            self.duration = end - start

        # start and duration
        elif start is not None and duration is not None:
            if duration < 0:
                raise ValueError("Duration must be positive")
            self.start = start
            self.duration = duration
            self.end = start + duration

        # end and duration
        elif end is not None and duration is not None:
            if duration < 0:
                raise ValueError("Duration must be positive")
            self.end = end
            self.duration = duration
            self.start = end - duration

        # set precision
        self.start = round(self.start, self.DEFAUT_PRECISION)
        self.end = round(self.end, self.DEFAUT_PRECISION)
        self.duration = round(self.duration, self.DEFAUT_PRECISION)

    @classmethod
    def from_start(cls, start=None):
        """Create an interval from a start time using the default duration"""
        return cls(start=start, duration=cls.DEFAULT_DURATION)

    @classmethod
    def from_end(cls, end=None):
        """Create an interval from an end time using the default duration"""
        return cls(end=end, duration=cls.DEFAULT_DURATION)

    def __repr__(self):
        return f"Interval({self.start}, {self.end}, {self.duration})"

    def __lt__(self, other):
        if self.start == other.start:
            return self.end < other.end
        return self.start < other.start

    def to_json(self):
        """Return a dict representation of the interval for JSON encoding

        @see video_producers.py:PipelineJSONEncoder
        """
        return dict(start=self.start, end=self.end, duration=self.duration)

    # --------------------------------------------------------------
    # TODO: handle bad cases, eg negative duration, start > end, etc
    # --------------------------------------------------------------

    def move_start(self, new_start: float | int, relative: bool = False):
        """Update start time of Interval, keeping end time constant (& so modify duration)"""
        if relative:
            self.start += new_start
        else:
            self.start = new_start
        self.duration = round((self.end - self.start), self.DEFAUT_PRECISION)

    def move_end(self, new_end: float | int, relative: bool = False):
        """Update end time of Interval, keeping start time constant (& so modify duration)"""
        if relative:
            self.end += new_end
        else:
            self.end = new_end
        self.duration = round((self.end - self.start), self.DEFAUT_PRECISION)

    def update_duration(self, new_duration: float | int, relative: bool = False):
        """Update duration of Interval, keeping start time constant (& so modify end time)"""
        if relative:
            self.duration += new_duration
        else:
            self.duration = new_duration
        self.end = self.start + self.duration

class Feature():
    """A feature extracted from a media file ("has a" Interval)

    This extends intervals by adding other fields, such as the feature source and 'score'

    Instance variables:

    interval -- Interval: time of feature in the media file
    source -- the source of the feature (ie feature extractor) (default: "unknown")
    path -- the path to the media file
    score -- the score of the feature (eg laughter confidence score, [0, 1] = { x ∈ ℝ | 0 ≤ x ≤ 1 }) (default: 0.0)

    Notes:

    - score is notionally in the closed interval [0, 1], but this is not enforced -- it is up to the feature extractor to ensure this (or use scores outside this range if desired -- eg a feature manually selected by user input might have a score of 2.0 so it is sorted 'above' other features)
    - sorts based on interval, then source, then score
    - path should never be unknown, since we need it to make clips from
    """
    # TODO: consider renaming score to something more generic

    def __init__(self, interval=None, source=None, score=None, path=None):
        """Create a feature with an interval, source, and score

        Expects a ready-made interval; source and score are optional
        """
        if interval is None:
            raise ValueError("Interval must be provided")
        self.interval = interval

        if path is None:
            raise ValueError("Path must be provided")
        self.path = path

        if source is None:
            source = "unknown"
        self.source = source

        if score is None:
            score = 0.0
        self.score = score

    # classmethods for creating a feature with an interval directly
    # which delegate to the Interval class :)

    @classmethod
    def from_start(cls, start=None, source=None, score=None, path=None):
        return cls(interval=Interval.from_start(start), source=source, score=score, path=path)

    @classmethod
    def from_end(cls, end=None, source=None, score=None, path=None):
        return cls(interval=Interval.from_end(end), source=source, score=score, path=path)

    def __repr__(self):
        return f"Feature({self.interval}, {self.source}, {self.score})"

    def __lt__(self, other):
        """Sort based on interval, then source, then score"""
        if self.interval == other.interval:
            if self.source == other.source:
                return self.score < other.score
            return self.source < other.source
        return self.interval < other.interval
    def to_json(self):
        """Return a dict representation of the feature for JSON encoding

        @see video_producers.py:PipelineJSONEncoder
        """
        return dict(interval=self.interval.to_json(), source=self.source.to_json(),
                    feature_extractor=self.feature_extractor, score=self.score)