[2.19.x] G-9293 Add normalization option for image overlays

What does this PR do?

Adds a new option to the overlay metacard transformer that, when enabled, normalizes each overlay's orientation by matching the upper-left and upper-right corners of the image to the left and right vertices of the polygon's northern edge, respectively.

Select relevant component teams:

@codice/core-apis @codice/io

Ask 2 committers to review/merge the PR and tag them here.

@jlcsmith @kcwire @millerw8

How should this be tested?

Ingest this sample record, or any record with a rectangular WKT and a thumbnail. Verify that without enabling the option, the top edge of the image is aligned with the 'top' (not 'northern') edge of the rectangle (the top edge of the rectangle is the edge with the WKT's first two points). When the option is enabled, verify the top edge of the image is aligned with the northern edge of the rectangle. See the screenshots for an example.

<metacard xmlns="urn:catalog:metacard">
  <type>ddf.metacard</type>
  <source>ddf.distribution</source>
  <dateTime name="metacard.created">
    <value>2021-10-18T20:49:38.028+00:00</value>
  </dateTime>
  <dateTime name="metacard.modified">
    <value>2021-10-18T20:49:38.028+00:00</value>
  </dateTime>
  <dateTime name="effective">
    <value>2021-10-18T20:49:38.028+00:00</value>
  </dateTime>
  <dateTime name="created">
    <value>1987-10-19T11:07:27.064+00:00</value>
  </dateTime>
  <dateTime name="modified">
    <value>2021-10-18T20:49:38.028+00:00</value>
  </dateTime>
  <string name="point-of-contact">
    <value>system@localhost.local</value>
  </string>
  <string name="metacard-tags">
    <value>resource</value>
    <value>VALID</value>
  </string>
  <string name="title">
    <value>Polygon Location Test</value>
  </string>
  <string name="location">
    <value>POLYGON ((0 0, 10 0, 10 10, 0 10, 0 0))</value>
  </string>
  <string name="thumbnail">
    <value>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</value>
  </string>
</metacard>

On the 2D map, draw various lines across the date line and verify they do not wrap the other way around the world.

Do the same with polygons.

Ingest some metacards with various types of locations, like lines, multilines, polygons, and multipolygons, across the date line and verify that when you search for them and they are displayed on the map that they do not wrap the other way around the world.

Ingest some metacards with a polygon location across the dateline and a thumbnail. Overlay the image on the map and verify the image does not wrap the other way around the world.

Screenshots

Orientation Normalization Disabled

Screen Shot 2021-10-19 at 1 32 25 PM

Orientation Normalization Enabled

Screen Shot 2021-10-19 at 1 34 55 PM

2D Line Drawing Across Dateline Before

LineBefore

2D Line Drawing Across Dateline After

LineAfter

2D Polygon Drawing Across Dateline Before

PolygonBefore

2D Polygon Drawing Across Dateline After

PolygonAfter

Overlay Across Dateline Before

Screen Shot 2021-11-02 at 4 15 42 PM

Overlay Across Dateline After

Screen Shot 2021-11-02 at 4 20 18 PM

Checklist

[ ] Documentation Updated
[ ] Update / Add Threat Dragon models
[x] Update / Add Unit Tests
[ ] Update / Add Integration Tests

Notes on Review Process

Please see Notes on Review Process for further guidance on requirements for merging and abbreviated reviews.

Review Comment Legend:

✏️ (Pencil) This comment is a nitpick or style suggestion, no action required for approval. This comment should provide a suggestion either as an in line code snippet or a gist.
❓ (Question Mark) This comment is to gain a clearer understanding of design or code choices, clarification is required but action may not be necessary for approval.
❗ (Exclamation Mark) This comment is critical and requires clarification or action before approval.

codice / ddf