diff --git a/.gitignore b/.gitignore index 78f088041..ed6d89a7c 100644 --- a/.gitignore +++ b/.gitignore @@ -30,3 +30,6 @@ src # MacOS file .DS_Store + +*.pyc +*.pt diff --git a/openadapt/config.py b/openadapt/config.py index 8b8daa7ff..63997da0b 100644 --- a/openadapt/config.py +++ b/openadapt/config.py @@ -33,6 +33,7 @@ "OPENAI_API_KEY": "", # "OPENAI_MODEL_NAME": "gpt-4", "OPENAI_MODEL_NAME": "gpt-3.5-turbo", + "RECORD_WINDOW_DATA": False, # may incur significant performance penalty "RECORD_READ_ACTIVE_ELEMENT_STATE": False, # TODO: remove? @@ -99,7 +100,6 @@ "key_vk", "children", ], - "PLOT_PERFORMANCE": True, # VISUALIZATION CONFIGURATIONS "VISUALIZE_DARK_MODE": False, "VISUALIZE_RUN_NATIVELY": True, @@ -111,6 +111,9 @@ "SAVE_SCREENSHOT_DIFF": False, "SPACY_MODEL_NAME": "en_core_web_trf", "PRIVATE_AI_API_KEY": "", + "RECORD_VIDEO": False, + "RECORD_IMAGES": True, + "VIDEO_PIXEL_FORMAT": "rgb24", } # each string in STOP_STRS should only contain strings diff --git a/openadapt/db/crud.py b/openadapt/db/crud.py index 6152d4375..7f66f59da 100644 --- a/openadapt/db/crud.py +++ b/openadapt/db/crud.py @@ -70,12 +70,12 @@ def _insert( def insert_action_event( - recording_timestamp: int, event_timestamp: int, event_data: dict[str, Any] + recording_timestamp: float, event_timestamp: int, event_data: dict[str, Any] ) -> None: """Insert an action event into the database. Args: - recording_timestamp (int): The timestamp of the recording. + recording_timestamp (float): The timestamp of the recording. event_timestamp (int): The timestamp of the event. event_data (dict): The data of the event. """ @@ -88,12 +88,12 @@ def insert_action_event( def insert_screenshot( - recording_timestamp: int, event_timestamp: int, event_data: dict[str, Any] + recording_timestamp: float, event_timestamp: int, event_data: dict[str, Any] ) -> None: """Insert a screenshot into the database. Args: - recording_timestamp (int): The timestamp of the recording. + recording_timestamp (float): The timestamp of the recording. event_timestamp (int): The timestamp of the event. event_data (dict): The data of the event. """ @@ -106,14 +106,14 @@ def insert_screenshot( def insert_window_event( - recording_timestamp: int, + recording_timestamp: float, event_timestamp: int, event_data: dict[str, Any], ) -> None: """Insert a window event into the database. Args: - recording_timestamp (int): The timestamp of the recording. + recording_timestamp (float): The timestamp of the recording. event_timestamp (int): The timestamp of the event. event_data (dict): The data of the event. """ @@ -126,7 +126,7 @@ def insert_window_event( def insert_perf_stat( - recording_timestamp: int, + recording_timestamp: float, event_type: str, start_time: float, end_time: float, @@ -134,7 +134,7 @@ def insert_perf_stat( """Insert an event performance stat into the database. Args: - recording_timestamp (int): The timestamp of the recording. + recording_timestamp (float): The timestamp of the recording. event_type (str): The type of the event. start_time (float): The start time of the event. end_time (float): The end time of the event. @@ -148,11 +148,11 @@ def insert_perf_stat( _insert(event_perf_stat, PerformanceStat, performance_stats) -def get_perf_stats(recording_timestamp: int) -> list[PerformanceStat]: +def get_perf_stats(recording_timestamp: float) -> list[PerformanceStat]: """Get performance stats for a given recording. Args: - recording_timestamp (int): The timestamp of the recording. + recording_timestamp (float): The timestamp of the recording. Returns: list[PerformanceStat]: A list of performance stats for the recording. @@ -166,7 +166,7 @@ def get_perf_stats(recording_timestamp: int) -> list[PerformanceStat]: def insert_memory_stat( - recording_timestamp: int, memory_usage_bytes: int, timestamp: int + recording_timestamp: float, memory_usage_bytes: int, timestamp: int ) -> None: """Insert memory stat into db.""" memory_stat = { @@ -177,7 +177,7 @@ def insert_memory_stat( _insert(memory_stat, MemoryStat, memory_stats) -def get_memory_stats(recording_timestamp: int) -> None: +def get_memory_stats(recording_timestamp: float) -> None: """Return memory stats for a given recording.""" return ( db.query(MemoryStat) @@ -196,7 +196,7 @@ def insert_recording(recording_data: Recording) -> Recording: return db_obj -def delete_recording(recording_timestamp: int) -> None: +def delete_recording(recording_timestamp: float) -> None: """Remove the recording from the db.""" db.query(Recording).filter(Recording.timestamp == recording_timestamp).delete() db.commit() @@ -241,12 +241,12 @@ def get_recording(timestamp: int) -> Recording: return db.query(Recording).filter(Recording.timestamp == timestamp).first() -def _get(table: BaseModel, recording_timestamp: int) -> list[BaseModel]: +def _get(table: BaseModel, recording_timestamp: float) -> list[BaseModel]: """Retrieve records from the database table based on the recording timestamp. Args: table (BaseModel): The database table to query. - recording_timestamp (int): The recording timestamp to filter the records. + recording_timestamp (float): The recording timestamp to filter the records. Returns: list[BaseModel]: A list of records retrieved from the database table, @@ -420,3 +420,33 @@ def new_session() -> None: if db: db.close() db = Session() + + +def update_video_start_time( + recording_timestamp: float, video_start_time: float +) -> None: + """Update the video start time of a specific recording. + + Args: + recording_timestamp (float): The timestamp of the recording to update. + video_start_time (float): The new video start time to set. + """ + # Find the recording by its timestamp + recording = ( + db.query(Recording).filter(Recording.timestamp == recording_timestamp).first() + ) + + if not recording: + logger.error(f"No recording found with timestamp {recording_timestamp}.") + return + + # Update the video start time + recording.video_start_time = video_start_time + + # Commit the changes to the database + db.commit() + + logger.info( + f"Updated video start time for recording {recording_timestamp} to" + f" {video_start_time}." + ) diff --git a/openadapt/deprecated/visualize.py b/openadapt/deprecated/visualize.py index 89b53ab19..a1418d9c9 100644 --- a/openadapt/deprecated/visualize.py +++ b/openadapt/deprecated/visualize.py @@ -11,14 +11,16 @@ from bokeh.models.widgets import Div from loguru import logger from tqdm import tqdm +import fire -from openadapt import config +from openadapt import config, video from openadapt.db.crud import get_latest_recording from openadapt.events import get_events from openadapt.models import Recording from openadapt.privacy.providers.presidio import PresidioScrubbingProvider from openadapt.utils import ( EMPTY, + compute_diff, configure_logging, display_event, evenly_spaced, @@ -184,11 +186,17 @@ def dict2html( @logger.catch -def main(recording: Recording = None) -> bool: +def main( + recording: Recording = None, + diff_video: bool = False, + cleanup: bool = True, +) -> bool: """Visualize a recording. Args: recording (Recording, optional): The recording to visualize. + diff_video (bool): Whether to diff Screenshots against video frames. + cleanup (bool): Whether to remove the HTML file after it is displayed. Returns: bool: True if visualization was successful, None otherwise. @@ -199,7 +207,8 @@ def main(recording: Recording = None) -> bool: recording = get_latest_recording() if SCRUB: scrub.scrub_text(recording.task_description) - logger.debug(f"{recording=}") + logger.info(f"{recording=}") + logger.info(f"{diff_video=}") meta = {} action_events = get_events(recording, process=PROCESS_EVENTS, meta=meta) @@ -233,6 +242,14 @@ def main(recording: Recording = None) -> bool: ] logger.info(f"{len(action_events)=}") + if diff_video: + video_file_name = video.get_video_file_name(recording.timestamp) + timestamps = [ + action_event.screenshot.timestamp - recording.video_start_time + for action_event in action_events + ] + frames = video.extract_frames(video_file_name, timestamps) + num_events = ( min(MAX_EVENTS, len(action_events)) if MAX_EVENTS is not None @@ -248,9 +265,24 @@ def main(recording: Recording = None) -> bool: for idx, action_event in enumerate(action_events): if idx == MAX_EVENTS: break - image = display_event(action_event) - diff = display_event(action_event, diff=True) - mask = action_event.screenshot.diff_mask + + try: + image = display_event(action_event) + except TypeError as exc: + # https://github.com/moses-palmer/pynput/issues/481 + logger.warning(exc) + continue + + if diff_video: + frame_image = frames[idx] + diff_image = compute_diff(frame_image, action_event.screenshot.image) + + # TODO: rename + diff = frame_image + mask = diff_image + else: + diff = display_event(action_event, diff=True) + mask = action_event.screenshot.diff_mask if SCRUB: image = scrub.scrub_image(image) @@ -323,14 +355,15 @@ def main(recording: Recording = None) -> bool: ) ) - def cleanup() -> None: + def _cleanup() -> None: os.remove(fname_out) removed = not os.path.exists(fname_out) logger.info(f"{removed=}") - Timer(1, cleanup).start() + if cleanup: + Timer(1, _cleanup).start() return True if __name__ == "__main__": - main() + fire.Fire(main) diff --git a/openadapt/events.py b/openadapt/events.py index 5417d8753..2f451afa7 100644 --- a/openadapt/events.py +++ b/openadapt/events.py @@ -450,6 +450,18 @@ def get_merged_events( ) +def remove_invalid_keyboard_events( + events: list[models.ActionEvent], +) -> list[models.ActionEvent]: + """Remove invalid keyboard events.""" + return [ + event + for event in events + # https://github.com/moses-palmer/pynput/issues/481 + if not str(event.key) == "<0>" + ] + + def merge_consecutive_keyboard_events( events: list[models.ActionEvent], group_named_keys: bool = KEYBOARD_EVENTS_MERGE_GROUP_NAMED_KEYS, @@ -717,6 +729,7 @@ def process_events( f"{num_total=}" ) process_fns = [ + remove_invalid_keyboard_events, merge_consecutive_keyboard_events, merge_consecutive_mouse_move_events, merge_consecutive_mouse_scroll_events, diff --git a/openadapt/models.py b/openadapt/models.py index f17215d7f..e893d4364 100644 --- a/openadapt/models.py +++ b/openadapt/models.py @@ -44,6 +44,7 @@ class Recording(db.Base): double_click_distance_pixels = sa.Column(sa.Numeric(asdecimal=False)) platform = sa.Column(sa.String) task_description = sa.Column(sa.String) + video_start_time = sa.Column(ForceFloat) action_events = sa.orm.relationship( "ActionEvent", diff --git a/openadapt/record.py b/openadapt/record.py index dc8d046e2..746ca00d8 100644 --- a/openadapt/record.py +++ b/openadapt/record.py @@ -27,11 +27,12 @@ import mss.tools import psutil -from openadapt import config, utils, window +from openadapt import config, utils, video, window from openadapt.db import crud from openadapt.extensions import synchronized_queue as sq from openadapt.models import ActionEvent + Event = namedtuple("Event", ("timestamp", "type", "data")) EVENT_TYPES = ("screen", "action", "window") @@ -164,8 +165,9 @@ def process_events( screen_write_q: sq.SynchronizedQueue, action_write_q: sq.SynchronizedQueue, window_write_q: sq.SynchronizedQueue, + video_write_q: sq.SynchronizedQueue, perf_q: sq.SynchronizedQueue, - recording_timestamp: int, + recording_timestamp: float, terminate_event: multiprocessing.Event, ) -> None: """Process events from the event queue and write them to write queues. @@ -175,11 +177,13 @@ def process_events( screen_write_q: A queue for writing screen events. action_write_q: A queue for writing action events. window_write_q: A queue for writing window events. + video_write_q: A queue for writing video events. perf_q: A queue for collecting performance data. recording_timestamp: The timestamp of the recording. terminate_event: An event to signal the termination of the process. """ utils.set_start_time(recording_timestamp) + logger.info("Starting") Notify("Status", "Starting recording...", "OpenAdapt").send() @@ -199,6 +203,8 @@ def process_events( ) if event.type == "screen": prev_screen_event = event + if config.RECORD_VIDEO: + video_write_q.put(event) elif event.type == "window": prev_window_event = event elif event.type == "action": @@ -274,8 +280,11 @@ def write_screen_event( """ assert event.type == "screen", event screenshot = event.data - png_data = mss.tools.to_png(screenshot.rgb, screenshot.size) - event_data = {"png_data": png_data} + if config.RECORD_IMAGES: + png_data = mss.tools.to_png(screenshot.rgb, screenshot.size) + event_data = {"png_data": png_data} + else: + event_data = {} crud.insert_screenshot(recording_timestamp, event.timestamp, event_data) perf_q.put((event.type, event.timestamp, utils.get_timestamp())) @@ -320,6 +329,7 @@ def write_events( the number of events left to be written. """ utils.set_start_time(recording_timestamp) + logger.info(f"{event_type=} starting") signal.signal(signal.SIGINT, signal.SIG_IGN) @@ -353,6 +363,71 @@ def write_events( logger.info(f"{event_type=} done") +def write_video( + video_write_q: sq.SynchronizedQueue, + recording_timestamp: float, + terminate_event: multiprocessing.Event, +) -> None: + """Writes video frames from a synchronized queue to a video file until termination. + + This function initializes video writing by setting a start time and + ignoring SIGINT signals for graceful shutdown. It generates a video file + name based on the recording timestamp, computes the video dimensions from a + screenshot, and initializes the video writer with these parameters. The + function then enters a loop, polling the queue for new "screen" type events + and writing each frame to the video file, until the termination event is + set and the queue is empty. Finally, it finalizes the video writer, + ensuring the video is properly closed and saved. + + Args: + video_write_q (sq.SynchronizedQueue): A queue synchronized across + multiple processes that contains video frame events to write to the + video file. + recording_timestamp (float): The timestamp at which the video recording + started. Used for naming the video file and as a reference for + calculating frame timestamps. + terminate_event (multiprocessing.Event): An event used to signal when + video writing should be terminated. The function will continue to + process events in the queue until it is empty, even after the terminate + event is set. + + Returns: + None + """ + utils.set_start_time(recording_timestamp) + + logger.info("starting") + signal.signal(signal.SIGINT, signal.SIG_IGN) + + video_file_name = video.get_video_file_name(recording_timestamp) + # TODO XXX replace with utils.get_monitor_dims() once fixed + width, height = utils.take_screenshot().size + video_container, video_stream, video_start_time = video.initialize_video_writer( + video_file_name, + width, + height, + ) + crud.update_video_start_time(recording_timestamp, video_start_time) + + last_pts = 0 + while not terminate_event.is_set() or not video_write_q.empty(): + try: + event = video_write_q.get_nowait() + except queue.Empty: + continue + assert event.type == "screen", ("screen", event) + last_pts = video.write_video_frame( + video_container, + video_stream, + event.data, + event.timestamp, + video_start_time, + last_pts, + ) + video.finalize_video_writer(video_container, video_stream) + logger.info("done") + + def trigger_action_event( event_q: queue.Queue, action_event_args: dict[str, Any] ) -> None: @@ -504,6 +579,10 @@ def read_screen_events( event_q: queue.Queue, terminate_event: multiprocessing.Event, recording_timestamp: float, + # TODO: throttle + # max_cpu_percent: float = 50.0, # Maximum allowed CPU percent + # max_memory_percent: float = 50.0, # Maximum allowed memory percent + # fps_warning_threshold: float = 10.0, # FPS threshold below which to warn ) -> None: """Read screen events and add them to the event queue. @@ -513,6 +592,7 @@ def read_screen_events( recording_timestamp: The timestamp of the recording. """ utils.set_start_time(recording_timestamp) + logger.info("Starting") while not terminate_event.is_set(): screenshot = utils.take_screenshot() @@ -537,6 +617,7 @@ def read_window_events( recording_timestamp: The timestamp of the recording. """ utils.set_start_time(recording_timestamp) + logger.info("Starting") prev_window_data = {} while not terminate_event.is_set(): @@ -585,6 +666,7 @@ def performance_stats_writer( terminate_event: An event to signal the termination of the process. """ utils.set_start_time(recording_timestamp) + logger.info("Performance stats writer starting") signal.signal(signal.SIGINT, signal.SIG_IGN) while not terminate_event.is_set() or not perf_q.empty(): @@ -619,6 +701,7 @@ def memory_writer( None """ utils.set_start_time(recording_timestamp) + logger.info("Memory writer starting") signal.signal(signal.SIGINT, signal.SIG_IGN) process = psutil.Process(record_pid) @@ -773,6 +856,7 @@ def on_release( handle_key(event_q, "release", key, canonical_key) utils.set_start_time(recording_timestamp) + keyboard_listener = keyboard.Listener( on_press=partial(on_press, event_q), on_release=partial(on_release, event_q), @@ -798,6 +882,7 @@ def read_mouse_events( None """ utils.set_start_time(recording_timestamp) + mouse_listener = mouse.Listener( on_move=partial(on_move, event_q), on_click=partial(on_click, event_q), @@ -818,6 +903,11 @@ def record( Args: task_description: A text description of the task to be recorded. """ + assert config.RECORD_VIDEO or config.RECORD_IMAGES, ( + config.RECORD_VIDEO, + config.RECORD_IMAGES, + ) + logger.info(f"{task_description=}") recording = create_recording(task_description) @@ -827,6 +917,7 @@ def record( screen_write_q = sq.SynchronizedQueue() action_write_q = sq.SynchronizedQueue() window_write_q = sq.SynchronizedQueue() + video_write_q = sq.SynchronizedQueue() # TODO: save write times to DB; display performance plot in visualize.py perf_q = sq.SynchronizedQueue() terminate_event = multiprocessing.Event() @@ -875,6 +966,7 @@ def record( screen_write_q, action_write_q, window_write_q, + video_write_q, perf_q, recording_timestamp, terminate_event, @@ -924,6 +1016,17 @@ def record( ) window_event_writer.start() + if config.RECORD_VIDEO: + video_writer = multiprocessing.Process( + target=write_video, + args=( + video_write_q, + recording_timestamp, + terminate_event, + ), + ) + video_writer.start() + terminate_perf_event = multiprocessing.Event() perf_stat_writer = multiprocessing.Process( target=performance_stats_writer, @@ -976,6 +1079,8 @@ def record( screen_event_writer.join() action_event_writer.join() window_event_writer.join() + if config.RECORD_VIDEO: + video_writer.join() terminate_perf_event.set() if PLOT_PERFORMANCE: diff --git a/openadapt/utils.py b/openadapt/utils.py index 8143fdb8a..5ff352d8c 100644 --- a/openadapt/utils.py +++ b/openadapt/utils.py @@ -27,9 +27,13 @@ from openadapt.logging import filter_log_messages from openadapt.models import ActionEvent +# TODO: move to constants.py EMPTY = (None, [], {}, "") +SCT = mss.mss() _logger_lock = threading.Lock() +_start_time = None +_start_perf_counter = None def configure_logging(logger: logger, log_level: str) -> None: @@ -227,14 +231,14 @@ def get_double_click_distance_pixels() -> int: raise Exception(f"Unsupported {sys.platform=}") -def get_monitor_dims() -> tuple: +def get_monitor_dims() -> tuple[int, int]: """Get the dimensions of the monitor. Returns: - tuple: The width and height of the monitor. + tuple[int, int]: The width and height of the monitor. """ - sct = mss.mss() - monitor = sct.monitors[0] + # TODO XXX: replace with get_screenshot().size and remove get_scale_ratios? + monitor = SCT.monitors[0] monitor_width = monitor["width"] monitor_height = monitor["height"] return monitor_width, monitor_height @@ -568,6 +572,8 @@ def image2utf8(image: Image.Image) -> str: Returns: str: The UTF-8 encoded image. """ + if not image: + return "" image = image.convert("RGB") buffered = BytesIO() image.save(buffered, format="JPEG") @@ -578,12 +584,8 @@ def image2utf8(image: Image.Image) -> str: return image_utf8 -_start_time = None -_start_perf_counter = None - - def set_start_time(value: float = None) -> float: - """Set the start time for performance measurements. + """Set the start time for recordings. Required for accurate process-wide timestamps. Args: value (float): The start time value. Defaults to the current time. @@ -592,23 +594,30 @@ def set_start_time(value: float = None) -> float: float: The start time. """ global _start_time + global _start_perf_counter _start_time = value or time.time() - logger.debug(f"{_start_time=}") + _start_perf_counter = time.perf_counter() + logger.debug(f"{_start_time=} {_start_perf_counter=}") return _start_time -def get_timestamp(is_global: bool = False) -> float: - """Get the current timestamp. +def get_timestamp() -> float: + """Get the current timestamp, synchronized between processes. - Args: - is_global (bool): Flag indicating whether to use the global - start time. Defaults to False. + Before calling this function from any process, set_start_time must have been called. Returns: float: The current timestamp. """ global _start_time - return _start_time + time.perf_counter() + global _start_perf_counter + + msg = "set_start_time must be called before get_timestamp" + assert _start_time, f"{_start_time=}; {msg}" + assert _start_perf_counter, f"{_start_perf_counter=}; {msg}" + + perf_duration = time.perf_counter() - _start_perf_counter + return _start_time + perf_duration # https://stackoverflow.com/a/50685454 @@ -634,10 +643,9 @@ def take_screenshot() -> mss.base.ScreenShot: Returns: mss.base.ScreenShot: The screenshot. """ - with mss.mss() as sct: - # monitor 0 is all in one - monitor = sct.monitors[0] - sct_img = sct.grab(monitor) + # monitor 0 is all in one + monitor = SCT.monitors[0] + sct_img = SCT.grab(monitor) return sct_img @@ -768,6 +776,14 @@ def strip_element_state(action_event: ActionEvent) -> ActionEvent: return action_event +def compute_diff(image1: Image.Image, image2: Image.Image) -> Image.Image: + """Computes the difference between two PIL Images and returns the diff image.""" + arr1 = np.array(image1) + arr2 = np.array(image2) + diff = np.abs(arr1 - arr2) + return Image.fromarray(diff.astype("uint8")) + + def get_functions(name: str) -> dict: """Get a dictionary of function names to functions for all non-private functions. diff --git a/openadapt/video.py b/openadapt/video.py new file mode 100644 index 000000000..ec4390400 --- /dev/null +++ b/openadapt/video.py @@ -0,0 +1,256 @@ +"""Module for recording and manipulating video recordings.""" + +from fractions import Fraction +from pprint import pformat +import threading + +from loguru import logger +from PIL import Image +import av +import numpy as np +import mss + +from openadapt import config, utils + + +def get_video_file_name(recording_timestamp: float) -> str: + """Generates a file name for a video recording based on a timestamp. + + Args: + recording_timestamp (float): The timestamp of the recording. + + Returns: + str: The generated file name for the video recording. + """ + return f"oa_recording-{recording_timestamp}.mp4" + + +def initialize_video_writer( + output_path: str, + width: int, + height: int, + fps: int = 24, + codec: str = "libx264rgb", + pix_fmt: str = config.VIDEO_PIXEL_FORMAT, + crf: int = 0, + preset: str = "veryslow", +) -> tuple[av.container.OutputContainer, av.stream.Stream, float]: + """Initializes video writer and returns the container, stream, and base timestamp. + + Args: + output_path (str): Path to the output video file. + width (int): Width of the video. + height (int): Height of the video. + fps (int, optional): Frames per second of the video. Defaults to 24. + codec (str, optional): Codec used for encoding the video. + Defaults to 'libx264rgb'. + pix_fmt (str, optional): Pixel format of the video. Defaults to 'rgb24'. + crf (int, optional): Constant Rate Factor for encoding quality. + Defaults to 0 for lossless. + preset (str, optional): Encoding speed/quality trade-off. + Defaults to 'veryslow' for maximum compression. + + Returns: + tuple[av.container.OutputContainer, av.stream.Stream, float]: The initialized + container, stream, and base timestamp. + """ + logger.info("initializing video stream...") + container = av.open(output_path, mode="w") + stream = container.add_stream(codec, rate=fps) + stream.width = width + stream.height = height + stream.pix_fmt = pix_fmt + stream.options = {"crf": str(crf), "preset": preset} + + base_timestamp = utils.get_timestamp() + + return container, stream, base_timestamp + + +def write_video_frame( + container: av.container.OutputContainer, + stream: av.stream.Stream, + screenshot: mss.base.ScreenShot, + timestamp: float, + base_timestamp: float, + last_pts: int, + pix_fmt: str = config.VIDEO_PIXEL_FORMAT, +) -> int: + """Encodes and writes a video frame to the output container from a given screenshot. + + This function converts a screenshot to a numpy array, then to an AVFrame, + and encodes it for writing to the video stream. It calculates the + presentation timestamp (PTS) for each frame based on the elapsed time since + the base timestamp, ensuring monotonically increasing PTS values. + + Args: + container (av.container.OutputContainer): The output container to which + the frame is written. + stream (av.stream.Stream): The video stream within the container. + screenshot (mss.base.ScreenShot): The screenshot to be written as a video frame. + timestamp (float): The timestamp of the current frame. + base_timestamp (float): The base timestamp from which the video + recording started. + last_pts (int): The PTS of the last written frame. + pix_fmt (str, optional): The pixel format of the video. Defaults to the + value specified in the configuration ('VIDEO_PIXEL_FORMAT'). + + Returns: + int: The updated last_pts value, to be used for writing the next frame. + + Note: + - This function assumes the screenshot is in the correct pixel format + and dimensions as specified in the video stream settings. + - It is crucial to maintain monotonically increasing PTS values for the + video stream's consistency and playback. + - The function logs the current timestamp, base timestamp, and + calculated PTS values for debugging purposes. + """ + logger.debug(f"{timestamp=} {base_timestamp=}") + + # Convert MSS ScreenShot to np.ndarray + frame = screenshot_to_np(screenshot) + + # Convert the numpy array to an AVFrame + av_frame = av.VideoFrame.from_ndarray(frame, format=pix_fmt) + + # Calculate the time difference in seconds + time_diff = timestamp - base_timestamp + + # Calculate PTS, taking into account the fractional average rate + pts = int(time_diff * float(Fraction(stream.average_rate))) + + logger.debug(f"{time_diff=} {pts=} {stream.average_rate=}") + + # Ensure monotonically increasing PTS + if pts <= last_pts: + pts = last_pts + 1 + logger.debug("incremented {pts=}") + av_frame.pts = pts + last_pts = pts # Update the last_pts + + # Encode and write the frame + for packet in stream.encode(av_frame): + packet.pts = pts + container.mux(packet) + + return last_pts # Return the updated last_pts for the next call + + +def finalize_video_writer( + container: av.container.OutputContainer, + stream: av.stream.Stream, +) -> None: + """Finalizes the video writer, ensuring all buffered frames are encoded and written. + + Args: + container (av.container.OutputContainer): The AV container to finalize. + stream (av.stream.Stream): The AV stream to finalize. + """ + # Closing the container in the main thread leads to a GIL deadlock. + # https://github.com/PyAV-Org/PyAV/issues/1053 + + # Define a function to close the container + def close_container() -> None: + logger.info("closing video container...") + container.close() + + # Create a new thread to close the container + close_thread = threading.Thread(target=close_container) + + # Flush stream + logger.info("flushing video stream...") + for packet in stream.encode(): + container.mux(packet) + + # Start the thread to close the container + close_thread.start() + + # Wait for the thread to finish execution + close_thread.join() + logger.info("done") + + +def screenshot_to_np(screenshot: mss.base.ScreenShot) -> np.ndarray: + """Converts an MSS screenshot to a NumPy array. + + Args: + screenshot (mss.base.ScreenShot): The screenshot object from MSS. + + Returns: + np.ndarray: The screenshot as a NumPy array in RGB format. + """ + # Convert the screenshot to an RGB PIL Image + img = screenshot.rgb + # Convert the RGB data to a NumPy array and reshape it to the correct dimensions + frame = np.frombuffer(img, dtype=np.uint8).reshape( + screenshot.height, + screenshot.width, + 3, + ) + return frame + + +def extract_frames( + video_filename: str, + timestamps: list[str], + tolerance: float = 0.1, +) -> list[Image.Image]: + """Extracts frames from a video file at specified timestamps within a tolerance. + + Args: + video_filename (str): The path to the video file. + timestamps (list): A list of timestamps (in seconds) at which to extract frames. + tolerance (float, optional): The maximum difference in seconds between + th timestamp and the actual frame timestamp. Defaults to 0.1. + + Returns: + list: A list of extracted frames as PIL Image objects. + + Raises: + Exception: If a frame is found to be the closest for more than one timestamp. + Exception: If no frame is found within the tolerance for any of the timestamps. + """ + # Open the video file + container = av.open(video_filename) + stream = container.streams.video[0] # Assuming the first video stream + + # To store matched frames + timestamp_frames = {t: None for t in timestamps} + # To store closest frame differences + frame_differences = {t: float("inf") for t in timestamps} + + # Prepare to convert PTS to seconds + time_base = float(stream.time_base) + + for frame in container.decode(stream): + frame_timestamp = frame.pts * time_base # Convert to float + # Find the closest timestamp within tolerance + for timestamp in timestamps: + difference = abs(frame_timestamp - timestamp) + # if difference <= tolerance and difference < frame_differences[timestamp]: + if difference <= tolerance: + # Check if this frame is already the closest for another timestamp + if frame_timestamp in frame_differences.values(): + raise Exception( + f"Frame at {frame_timestamp}s is closest for more than one" + " timestamp." + ) + timestamp_frames[timestamp] = frame + frame_differences[timestamp] = difference + + container.close() + + logger.info(f"frame_differences=\n{pformat(frame_differences)}") + + # Check if all timestamps have been matched + for timestamp, frame in timestamp_frames.items(): + if frame is None: + raise Exception( + f"No frame found within tolerance for timestamp {timestamp}s." + ) + + # Convert frames to PIL Image and return + extracted_frames = [timestamp_frames[t].to_image() for t in timestamps] + + return extracted_frames diff --git a/openadapt/window/__init__.py b/openadapt/window/__init__.py index 575630ee3..16516fe1f 100644 --- a/openadapt/window/__init__.py +++ b/openadapt/window/__init__.py @@ -8,6 +8,8 @@ from loguru import logger +from openadapt import config + if sys.platform == "darwin": from . import _macos as impl elif sys.platform in ("win32", "linux"): @@ -24,7 +26,7 @@ def get_active_window_data() -> dict[str, Any] | None: dict or None: A dictionary containing information about the active window, or None if the state is not available. """ - state = get_active_window_state() + state = get_active_window_state(config.RECORD_WINDOW_DATA) if not state: return None title = state["title"] @@ -45,7 +47,7 @@ def get_active_window_data() -> dict[str, Any] | None: return window_data -def get_active_window_state() -> dict | None: +def get_active_window_state(read_window_data: bool) -> dict | None: """Get the state of the active window. Returns: @@ -54,7 +56,7 @@ def get_active_window_state() -> dict | None: """ # TODO: save window identifier (a window's title can change, or try: - return impl.get_active_window_state() + return impl.get_active_window_state(read_window_data) except Exception as exc: logger.warning(f"{exc=}") return None diff --git a/openadapt/window/_macos.py b/openadapt/window/_macos.py index 037276021..afb8237d7 100644 --- a/openadapt/window/_macos.py +++ b/openadapt/window/_macos.py @@ -12,7 +12,7 @@ import Quartz -def get_active_window_state() -> dict | None: +def get_active_window_state(read_window_data: bool) -> dict | None: """Get the state of the active window. Returns: @@ -22,7 +22,10 @@ def get_active_window_state() -> dict | None: # pywinctl performance on macOS is unusable, see: # https://github.com/Kalmat/PyWinCtl/issues/29 meta = get_active_window_meta() - data = get_window_data(meta) + if read_window_data: + data = get_window_data(meta) + else: + data = {} title_parts = [ meta["kCGWindowOwnerName"], meta["kCGWindowName"], diff --git a/openadapt/window/_windows.py b/openadapt/window/_windows.py index 4a07dc4f2..b970b5836 100644 --- a/openadapt/window/_windows.py +++ b/openadapt/window/_windows.py @@ -6,7 +6,7 @@ import pywinauto -def get_active_window_state() -> dict: +def get_active_window_state(read_window_data: bool) -> dict: """Get the state of the active window. Returns: @@ -29,7 +29,10 @@ def get_active_window_state() -> dict: return {} meta = get_active_window_meta(active_window) rectangle_dict = dictify_rect(meta["rectangle"]) - data = get_element_properties(active_window) + if read_window_data: + data = get_element_properties(active_window) + else: + data = {} state = { "title": meta["texts"][0], "left": meta["rectangle"].left, diff --git a/poetry.lock b/poetry.lock index a631d9526..82c6c8244 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,87 +13,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.9.0" +version = "3.9.3" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.9.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6896b8416be9ada4d22cd359d7cb98955576ce863eadad5596b7cdfbf3e17c6c"}, - {file = "aiohttp-3.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1736d87dad8ef46a8ec9cddd349fa9f7bd3a064c47dd6469c0d6763d3d49a4fc"}, - {file = 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"zope.testing"] testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "3.10.x" -content-hash = "4c341e7bc89f42d27e764bfb1f10a7b8d44c6a510836ae5f9958e5566decfc09" +content-hash = "504089e1bba5e1d765763468bb643aee6e87dbb19fabc9f4b02c591ea98e6d20" diff --git a/pyproject.toml b/pyproject.toml index 3cbec0348..10117fb23 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -88,6 +88,7 @@ spacy-transformers = "^1.2.5" boto3 = "^1.28.30" botocore = "^1.31.30" easyocr = "^1.7.0" +av = "^11.0.0" spacy-curated-transformers = "^0.2.0" [tool.pytest.ini_options] diff --git a/tests/openadapt/privacy/providers/test_comprehend_scrub.py b/tests/openadapt/privacy/providers/test_comprehend_scrub.py index 54bb9501e..b6eb166e4 100644 --- a/tests/openadapt/privacy/providers/test_comprehend_scrub.py +++ b/tests/openadapt/privacy/providers/test_comprehend_scrub.py @@ -1,5 +1,7 @@ """Module to test ComprehendScrubbingProvider.""" +import re + from botocore.exceptions import NoRegionError import pytest @@ -63,11 +65,23 @@ def test_scrub_date_of_birth() -> None: def test_scrub_address() -> None: """Test that the address is scrubbed.""" - assert ( - scrub.scrub_text("My address is 123 Main St, Toronto, On, CAN.") - == "My address is
." + scrubbed_text = scrub.scrub_text("My address is 123 Main St, Toronto, On, CAN.") + # Patterns to match the different acceptable scrubbed results + acceptable_patterns = [ + "My address is
.", + "My address is 123 Main St, , On, .", + "My address is 123 Main St, , , .", + ] + + # Check if scrubbed_text matches any of the acceptable patterns + match_found = any( + re.match(pattern, scrubbed_text) for pattern in acceptable_patterns ) + assert ( + match_found + ), f"Scrubbed text '{scrubbed_text}' did not match any expected patterns." + def test_scrub_ssn() -> None: """Test that the social security number is scrubbed.""" @@ -96,10 +110,15 @@ def test_scrub_passport() -> None: def test_scrub_national_id() -> None: """Test that the national ID number is scrubbed.""" + scrubbed_text = scrub.scrub_text("My national ID number is 1234567890123.") + expected_outcomes = [ + "My national ID number is .", + "My national ID number is .", + "My national ID number is .", # Adding to expected outcomes + ] assert ( - scrub.scrub_text("My national ID number is 1234567890123.") - == "My national ID number is ." - ) + scrubbed_text in expected_outcomes + ), f"Scrubbed text '{scrubbed_text}' did not match any expected outcomes." def test_scrub_routing_number() -> None: diff --git a/tests/openadapt/privacy/providers/test_presidio_scrub.py b/tests/openadapt/privacy/providers/test_presidio_scrub.py index 62d4c99d9..ba26ccf17 100644 --- a/tests/openadapt/privacy/providers/test_presidio_scrub.py +++ b/tests/openadapt/privacy/providers/test_presidio_scrub.py @@ -3,6 +3,7 @@ from io import BytesIO import os +import re from PIL import Image import pytest @@ -130,11 +131,23 @@ def test_scrub_date_of_birth() -> None: def test_scrub_address() -> None: """Test that the address is scrubbed.""" - assert ( - scrub.scrub_text("My address is 123 Main St, Toronto, ON, CAN.") - == "My address is 123 Main St, , , ." + scrubbed_text = scrub.scrub_text("My address is 123 Main St, Toronto, On, CAN.") + # Patterns to match the different acceptable scrubbed results + acceptable_patterns = [ + "My address is
.", + "My address is 123 Main St, , On, .", + "My address is 123 Main St, , , .", + ] + + # Check if scrubbed_text matches any of the acceptable patterns + match_found = any( + re.match(pattern, scrubbed_text) for pattern in acceptable_patterns ) + assert ( + match_found + ), f"Scrubbed text '{scrubbed_text}' did not match any expected patterns." + def test_scrub_ssn() -> None: """Test that the social security number is scrubbed.""" diff --git a/tests/openadapt/test_video.py b/tests/openadapt/test_video.py new file mode 100644 index 000000000..e8aa5697b --- /dev/null +++ b/tests/openadapt/test_video.py @@ -0,0 +1,6 @@ +"""Module to test openadapt.video.""" + +# from openadapt import models, video + + +# TODO: compare diff shown in in deprecated.visualize(diff_video=True)