app/src/test/java/io/github/abrarul/modularai/RecommendTest.kt

package io.github.abrarul.modularai

import io.github.abrarul.modularai.model.DeviceProfiler
import io.github.abrarul.modularai.model.Profile
import io.github.abrarul.modularai.model.Tier
import org.junit.Assert.assertEquals
import org.junit.Assert.assertTrue
import org.junit.Test

class RecommendTest {
    private fun p(total: Long, avail: Long, tier: Tier) =
        Profile("x", "arm64-v8a", 8, total, avail, 50_000, false, 100.0, tier)

    @Test fun lowRamPicksTinyQuantAndSmallContext() {
        val r = DeviceProfiler.recommend(p(2_000, 800, Tier.ULTRA_LIGHT))
        assertEquals("IQ2_XS", r.quant)
        assertEquals(2048, r.contextTokens)
    }

    @Test fun midRamAllowsSevenBClassModels() {
        val r = DeviceProfiler.recommend(p(8_000, 6_000, Tier.BALANCED))
        assertTrue(r.maxParamsB >= 3.0)
        assertEquals("Q4_K_M", r.quant)
    }

    @Test fun highRamUnlocksBiggerContext() {
        val r = DeviceProfiler.recommend(p(16_000, 12_000, Tier.POWER))
        assertTrue(r.contextTokens >= 4096)
    }
}