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"""Makes a table that plots GPS timestamp or other timestamp metadata."""
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2
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import logging
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3
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import plotly.graph_objects as go
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4
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5
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log = logging.getLogger("MetaStalk")
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6
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7
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8
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def date_time(photos: list) -> go.Figure():
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9
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"""date_time
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10
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11
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Makes a table with timestamp of photos.
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12
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There are three name that DateTime data can be under `Creation date`,
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13
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`Date-time original`, `Date-time digitized` and a column in made
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14
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for each type.
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15
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16
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Arguments:
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photos {list} -- A list of dictionaries with phot information.
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18
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19
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Returns:
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go.Figure -- A plotly Table with the DateTime data.
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21
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"""
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log.info("Starting DateTime Charts")
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23
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datetime, datetime_original, datetime_digitized = [], [], []
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24
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types = [datetime, datetime_original, datetime_digitized]
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types_str = ["Creation date", "Date-time original", "Date-time digitized"]
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26
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27
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simple_photos = []
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28
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for i, _ in enumerate(photos):
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29
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simple_photos.append(photos[i]["item"])
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30
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31
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for each in photos:
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32
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for i, _ in enumerate(types):
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33
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try:
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types[i].append(each[types_str[i]])
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35
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log.debug("%s has %s data", each["item"], types_str[i])
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36
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except KeyError:
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37
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log.info("%s has no %s data ", each["item"], types_str[i])
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38
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39
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fig = go.Figure(
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40
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data=[go.Table(
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header=dict(values=[
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"Photo",
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"Creation Date",
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44
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"Date Time Original",
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45
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"Date Time Digitized"
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46
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]),
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47
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cells=dict(values=[simple_photos, datetime, datetime_original,
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48
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datetime_digitized]))]
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49
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)
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50
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fig.update_layout(title="Timestamp Information", title_x=0.5)
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return fig
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52
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Cyb3r-Jak3 /
MetaStalk
