Files
satellite-provider/SatelliteProvider.Tests/TestUtilities/UavTileImageFactory.cs
T
Oleksandr Bezdieniezhnykh 1802d32107 [AZ-488] UAV tile batch upload + 5-rule quality gate
Replaces the 501 stub at POST /api/satellite/upload with a multipart
batch endpoint that ingests UAV-captured tiles, runs each item through
a 5-rule quality gate, and persists accepted tiles via the AZ-484
multi-source storage path with source='uav'.

Quality gate (in fixed order, first failure wins): JPEG format
(content-type + magic), size band 5 KiB-5 MiB, exact 256x256
dimensions, captured-at age (no future >30 s skew, no older than
7 days), luminance variance on 32x32 downsample. Closed reject-reason
enumeration in v1.0.0 contract.

Authorization: custom PermissionsRequirement / PermissionsAuthorization
Handler that reads the JWT `permissions` claim (tolerates both
repeated-string and JSON-array shapes). Endpoint protected by
RequiresGpsPermission policy; 401 without token, 403 without GPS perm.

Persistence: file-first to ./tiles/uav/{z}/{x}/{y}.jpg, then
ITileRepository.InsertAsync UPSERT (per-source UPSERT contract from
AZ-484). Per-item failures reported in response without aborting the
batch. Kestrel MaxRequestBodySize and FormOptions limits set to
MaxBatchSize x MaxBytes (default 100 x 5 MiB = 500 MiB).

New frozen contract: _docs/02_document/contracts/api/uav-tile-upload.md
v1.0.0. PT-08 NFR added to performance-tests.md as Deferred (harness
work tracked in PT-07 leftover, per AZ-488 § Risk 4).

Tests: 11 quality-gate unit tests, 5 handler unit tests, 3 file-path
unit tests, 12 permission-handler unit tests, 7 integration tests
(AC-1..AC-6, AC-8). All 253 unit tests + smoke integration suite
green.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-11 23:50:49 +03:00

75 lines
2.3 KiB
C#

using SixLabors.ImageSharp;
using SixLabors.ImageSharp.Formats.Jpeg;
using SixLabors.ImageSharp.Formats.Png;
using SixLabors.ImageSharp.PixelFormats;
namespace SatelliteProvider.Tests.TestUtilities;
internal static class UavTileImageFactory
{
public static byte[] CreateRandomJpeg(int width = 256, int height = 256, int seed = 42, int quality = 95)
{
using var image = new Image<Rgba32>(width, height);
var random = new Random(seed);
image.ProcessPixelRows(accessor =>
{
for (var y = 0; y < accessor.Height; y++)
{
var row = accessor.GetRowSpan(y);
for (var x = 0; x < row.Length; x++)
{
row[x] = new Rgba32(
(byte)random.Next(256),
(byte)random.Next(256),
(byte)random.Next(256));
}
}
});
using var stream = new MemoryStream();
image.Save(stream, new JpegEncoder { Quality = quality });
return stream.ToArray();
}
public static byte[] CreateUniformGreyJpeg(int width = 256, int height = 256, byte value = 128, int quality = 95)
{
using var image = new Image<L8>(width, height);
image.ProcessPixelRows(accessor =>
{
for (var y = 0; y < accessor.Height; y++)
{
var row = accessor.GetRowSpan(y);
for (var x = 0; x < row.Length; x++)
{
row[x] = new L8(value);
}
}
});
using var stream = new MemoryStream();
image.Save(stream, new JpegEncoder { Quality = quality });
return stream.ToArray();
}
public static byte[] CreatePng(int width = 256, int height = 256)
{
using var image = new Image<Rgba32>(width, height);
image.ProcessPixelRows(accessor =>
{
for (var y = 0; y < accessor.Height; y++)
{
var row = accessor.GetRowSpan(y);
for (var x = 0; x < row.Length; x++)
{
row[x] = new Rgba32(255, 255, 255);
}
}
});
using var stream = new MemoryStream();
image.Save(stream, new PngEncoder());
return stream.ToArray();
}
}