# ADR-0004 - Introduce a UI architecture module to the core platform

## Date

2024-02-07

## Context

The Gradle core platform provides many services to the Gradle platforms and builds logic. One such group of services allows logic to interact with the build user, to provide diagnostics, progress information, prompt for questions, and so on. Currently, these services are part of the core platform runtime architecture module.

    right: 10px;
    z-index: 99;
    outline: none;
    background-color: rgba(90, 90, 90, 0.7);
    color: rgba(0, 0, 0, 0.4);
    cursor: pointer;
    padding: 3px 5px;
    border-radius: 10px;
    font-size: 1rem;
    border: 0;
    box-shadow: 0 0 2px 2px rgba(0, 0, 0, 0.4)
}

#scroll-to-top:hover {
    color: #de7d40
}

@media screen {
    .endnote-ref {
        display: none

			[]string{``,
				`0x0000 00000\s\(.*\)\tBC\t\$4,\sCR0EQ,\s8`,
				`0x0004 00004\s\(.*\)\tJMP\t131128`},
		},
		{"BNE",
			[]string{``,
				`0x20030 131120\s\(.*\)\tBC\t\$12,\sCR0EQ,\s131128`,
				`0x20034 131124\s\(.*\)\tJMP\t0`},
			[]string{``,
				`0x0000 00000\s\(.*\)\tBC\t\$12,\sCR0EQ,\s8`,
				`0x0004 00004\s\(.*\)\tJMP\t131128`}},
		// bdnz (BC 16,0,tgt) <-> bdz (BC 18,0,+4) conversion (insert one jump)

            """.trimIndent()
        )

        val result = runtimeInstanceFromResult(schema, resolution, kotlinFunctionAsConfigureLambda, RuntimeCustomAccessors.none, ::TopLevel)

        assertEquals(listOf(0, 0, 2, 3, 4), result.added.map { it.x })
    }


    private
    val schema = schemaFromTypes(TopLevel::class, this::class.nestedClasses)


    class TopLevel {
        val configuredLazy = lazy { Inner() }

# ADR-0004 - Use a platform-oriented architecture for Gradle

## Date

2024-02-07

## Context

The Gradle code base is essentially a large monolith, without strong internal boundaries.
This has a number of negative effects on productivity, including:

- Unclear ownership of code.
- Difficult to focus on one particular area.
- Unintended coupling between areas of the code, including tests.

## Decision

		{
			name: "LocalModeClusterCIDR, dual-stack IPv6-primary cluster",
			config: &proxyconfigapi.KubeProxyConfiguration{
				DetectLocalMode: proxyconfigapi.LocalModeClusterCIDR,
				ClusterCIDR:     "2002:0:0:1234::/64,10.0.0.0/14",
			},
			primaryIPFamily: v1.IPv6Protocol,
			expected: map[v1.IPFamily]proxyutil.LocalTrafficDetector{
				v1.IPv4Protocol: proxyutil.NewDetectLocalByCIDR("10.0.0.0/14"),

  cniConfDir: "/var/run/multus/cni/net.d"
`,
		},

		{
			desc: "BadIPRange",
			yamlStr: `
global:
  proxy:
    includeIPRanges: "1.1.0.256/16,2.2.0.257/16"
    excludeIPRanges: "3.3.0.0/33,4.4.0.0/34"
`,
			wantErrs: makeErrors([]string{
				`global.proxy.excludeIPRanges netip.ParsePrefix("3.3.0.0/33"): prefix length out of range`,

// The error from the true ticks-per-second in a linux/amd64 VM seems to be:
// -   1 ms -> ~0.02% error
// -   5 ms -> ~0.004% error
// -  10 ms -> ~0.002% error
// -  50 ms -> ~0.0003% error
// - 100 ms -> ~0.0001% error
//
// We're willing to take 0.004% error here, because ticksPerSecond is intended to be used for
// converting durations, not timestamps. Durations are usually going to be much larger, and so

00000070  00 00 00 16 00 00 00 17  00 00 00 0d 00 1e 00 1c  |................|
00000080  04 03 05 03 06 03 08 07  08 08 08 09 08 0a 08 0b  |................|
00000090  08 04 08 05 08 06 04 01  05 01 06 01 00 2b 00 03  |.............+..|
000000a0  02 03 04 00 2d 00 02 01  01 00 33 00 26 00 24 00  |....-.....3.&.$.|
000000b0  1d 00 20 49 31 09 86 3b  71 6b ff 6c bc 6f 40 4c  |.. I1..;qk.l.o@L|

00000070  00 00 00 16 00 00 00 17  00 00 00 0d 00 1e 00 1c  |................|
00000080  04 03 05 03 06 03 08 07  08 08 08 09 08 0a 08 0b  |................|
00000090  08 04 08 05 08 06 04 01  05 01 06 01 00 2b 00 03  |.............+..|
000000a0  02 03 04 00 2d 00 02 01  01 00 33 00 26 00 24 00  |....-.....3.&.$.|
000000b0  1d 00 20 9c 90 86 ec 0c  c9 4e 43 4d d7 00 3d 39  |.. ......NCM..=9|