MetaStalk.modules.DateTime

Complexity

Total Complexity

5

Size/Duplication

Total Lines	69
Duplicated Lines	0 %

Test Coverage

Coverage

100%

Importance

Changes

0

1 Function

Rating	Name	Duplication	Size	Complexity
B	date_time()	0	61	5

"""Makes a table that plots GPS timestamp or other timestamp metadata."""
import logging
import plotly.graph_objects as go

log = logging.getLogger("MetaStalk")


def date_time(photos: list) -> go.Figure():
    """date_time.

    Makes a table with timestamp of photos.
    There are three name that DateTime data can be under `Creation date`,
    `Date-time original`, `Date-time digitized` and a column in made
    for each type.

    Arguments:
        photos {list} -- A list of dictionaries with phot information.

    Returns:
        go.Figure -- A plotly Table with the DateTime data.
    """
    log.info("Starting DateTime Charts")
    datetime, datetime_original, datetime_digitized = [], [], []
    types = [datetime, datetime_original, datetime_digitized]
    types_str = [
        "Image DateTime",
        "EXIF DateTimeOriginal",
        "EXIF DateTimeDigitized",
        "GPS GPSDate",
    ]

    simple_photos = []
    for i, _ in enumerate(photos):
        simple_photos.append(photos[i]["item"])

    for each in photos:
        for i, _ in enumerate(types):
            try:
                date_type = str(each[types_str[i]]).replace(":", "/", 2)
                types[i].append(date_type)
                log.debug("%s has %s data", each["item"], types_str[i])
            except KeyError:
                log.info("%s has no %s data ", each["item"], types_str[i])

    fig = go.Figure(
        data=[
            go.Table(
                header=dict(
                    values=[
                        "Photo",
                        "Image DateTime",
                        "Date Time Original",
                        "Date Time Digitized",
                    ]
                ),
                cells=dict(
                    values=[
                        simple_photos,
                        datetime,
                        datetime_original,
                        datetime_digitized,
                    ]
                ),
            )
        ]
    )
    fig.update_layout(title="Timestamp Information", title_x=0.5)
    return fig