MetaStalk.modules.DateTime

Complexity

Total Complexity

5

Size/Duplication

Total Lines	54
Duplicated Lines	0 %

Importance

Changes

0

1 Function

Rating	Name	Duplication	Size	Complexity
B	date_time()	0	46	5

"""Makes a table that plots gps timestamp"""

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 = ["Creation date", "Date-time original", "Date-time digitized"]


    simple_photos = []

    for i, _ in enumerate(photos):

        simple_photos.append(photos[i]["item"])


    for each in photos:

        for i, _ in enumerate(types):

            try:

                types[i].append(each[types_str[i]])

                log.debug("%s has %s data", each["item"], types_str[i])

            except KeyError:

                log.debug("%s has no %s data ", each["item"], types_str[i])


    fig = go.Figure(

        data=[go.Table(

            header=dict(values=[

                "Photos",

                "Creation date",

                "Date time Original",

                "Date time Digitized"

            ]),

            cells=dict(values=[simple_photos, datetime, datetime_original,

                               datetime_digitized]))]

    )


    return fig