613 lines
20 KiB
TypeScript
613 lines
20 KiB
TypeScript
import { describe, it, expect, beforeEach, afterEach } from "bun:test"
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import { mkdtempSync, writeFileSync, rmSync } from "fs"
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import { tmpdir } from "os"
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import { join } from "path"
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import { fetchAvailableModels, fuzzyMatchModel, getConnectedProviders, __resetModelCache } from "./model-availability"
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describe("fetchAvailableModels", () => {
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let tempDir: string
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let originalXdgCache: string | undefined
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beforeEach(() => {
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__resetModelCache()
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tempDir = mkdtempSync(join(tmpdir(), "opencode-test-"))
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originalXdgCache = process.env.XDG_CACHE_HOME
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process.env.XDG_CACHE_HOME = tempDir
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})
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afterEach(() => {
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if (originalXdgCache !== undefined) {
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process.env.XDG_CACHE_HOME = originalXdgCache
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} else {
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delete process.env.XDG_CACHE_HOME
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}
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rmSync(tempDir, { recursive: true, force: true })
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})
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function writeModelsCache(data: Record<string, any>) {
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const cacheDir = join(tempDir, "opencode")
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require("fs").mkdirSync(cacheDir, { recursive: true })
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writeFileSync(join(cacheDir, "models.json"), JSON.stringify(data))
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}
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it("#given cache file with models #when fetchAvailableModels called with connectedProviders #then returns Set of model IDs", async () => {
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writeModelsCache({
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openai: { id: "openai", models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { id: "anthropic", models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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google: { id: "google", models: { "gemini-3-pro": { id: "gemini-3-pro" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: ["openai", "anthropic", "google"]
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})
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expect(result).toBeInstanceOf(Set)
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expect(result.size).toBe(3)
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expect(result.has("openai/gpt-5.2")).toBe(true)
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expect(result.has("anthropic/claude-opus-4-5")).toBe(true)
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expect(result.has("google/gemini-3-pro")).toBe(true)
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})
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it("#given connectedProviders unknown #when fetchAvailableModels called without options #then returns empty Set", async () => {
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writeModelsCache({
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openai: { id: "openai", models: { "gpt-5.2": { id: "gpt-5.2" } } },
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})
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const result = await fetchAvailableModels()
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expect(result).toBeInstanceOf(Set)
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expect(result.size).toBe(0)
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})
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it("#given cache file not found #when fetchAvailableModels called with connectedProviders #then returns empty Set", async () => {
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const result = await fetchAvailableModels(undefined, { connectedProviders: ["openai"] })
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expect(result).toBeInstanceOf(Set)
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expect(result.size).toBe(0)
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})
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it("#given cache read twice #when second call made with same providers #then reads fresh each time", async () => {
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writeModelsCache({
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openai: { id: "openai", models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { id: "anthropic", models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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})
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const result1 = await fetchAvailableModels(undefined, { connectedProviders: ["openai"] })
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const result2 = await fetchAvailableModels(undefined, { connectedProviders: ["openai"] })
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expect(result1.size).toBe(result2.size)
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expect(result1.has("openai/gpt-5.2")).toBe(true)
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})
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it("#given empty providers in cache #when fetchAvailableModels called with connectedProviders #then returns empty Set", async () => {
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writeModelsCache({})
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const result = await fetchAvailableModels(undefined, { connectedProviders: ["openai"] })
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expect(result).toBeInstanceOf(Set)
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expect(result.size).toBe(0)
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})
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it("#given cache file with various providers #when fetchAvailableModels called with all providers #then extracts all IDs correctly", async () => {
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writeModelsCache({
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openai: { id: "openai", models: { "gpt-5.2-codex": { id: "gpt-5.2-codex" } } },
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anthropic: { id: "anthropic", models: { "claude-sonnet-4-5": { id: "claude-sonnet-4-5" } } },
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google: { id: "google", models: { "gemini-3-flash": { id: "gemini-3-flash" } } },
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opencode: { id: "opencode", models: { "gpt-5-nano": { id: "gpt-5-nano" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: ["openai", "anthropic", "google", "opencode"]
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})
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expect(result.size).toBe(4)
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expect(result.has("openai/gpt-5.2-codex")).toBe(true)
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expect(result.has("anthropic/claude-sonnet-4-5")).toBe(true)
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expect(result.has("google/gemini-3-flash")).toBe(true)
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expect(result.has("opencode/gpt-5-nano")).toBe(true)
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})
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})
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describe("fuzzyMatchModel", () => {
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// #given available models from multiple providers
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// #when searching for a substring match
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// #then return the matching model
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it("should match substring in model name", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"openai/gpt-5.2-codex",
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"anthropic/claude-opus-4-5",
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])
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const result = fuzzyMatchModel("gpt-5.2", available)
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expect(result).toBe("openai/gpt-5.2")
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})
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// #given available models with partial matches
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// #when searching for a substring
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// #then return exact match if it exists
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it("should prefer exact match over substring match", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"openai/gpt-5.2-codex",
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"openai/gpt-5.2-ultra",
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])
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const result = fuzzyMatchModel("gpt-5.2", available)
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expect(result).toBe("openai/gpt-5.2")
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})
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// #given available models with multiple substring matches
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// #when searching for a substring
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// #then return the shorter model name (more specific)
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it("should prefer shorter model name when multiple matches exist", () => {
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const available = new Set([
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"openai/gpt-5.2-ultra",
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"openai/gpt-5.2-ultra-mega",
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])
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const result = fuzzyMatchModel("gpt-5.2", available)
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expect(result).toBe("openai/gpt-5.2-ultra")
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})
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// #given available models with claude variants
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// #when searching for claude-opus
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// #then return matching claude-opus model
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it("should match claude-opus to claude-opus-4-5", () => {
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const available = new Set([
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"anthropic/claude-opus-4-5",
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"anthropic/claude-sonnet-4-5",
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])
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const result = fuzzyMatchModel("claude-opus", available)
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expect(result).toBe("anthropic/claude-opus-4-5")
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})
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// #given available models from multiple providers
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// #when providers filter is specified
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// #then only search models from specified providers
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it("should filter by provider when providers array is given", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"anthropic/claude-opus-4-5",
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"google/gemini-3",
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])
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const result = fuzzyMatchModel("gpt", available, ["openai"])
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expect(result).toBe("openai/gpt-5.2")
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})
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// #given available models from multiple providers
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// #when providers filter excludes matching models
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// #then return null
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it("should return null when provider filter excludes all matches", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"anthropic/claude-opus-4-5",
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])
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const result = fuzzyMatchModel("claude", available, ["openai"])
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expect(result).toBeNull()
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})
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// #given available models
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// #when no substring match exists
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// #then return null
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it("should return null when no match found", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"anthropic/claude-opus-4-5",
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])
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const result = fuzzyMatchModel("gemini", available)
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expect(result).toBeNull()
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})
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// #given available models with different cases
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// #when searching with different case
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// #then match case-insensitively
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it("should match case-insensitively", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"anthropic/claude-opus-4-5",
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])
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const result = fuzzyMatchModel("GPT-5.2", available)
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expect(result).toBe("openai/gpt-5.2")
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})
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// #given available models with exact match and longer variants
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// #when searching for exact match
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// #then return exact match first
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it("should prioritize exact match over longer variants", () => {
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const available = new Set([
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"anthropic/claude-opus-4-5",
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"anthropic/claude-opus-4-5-extended",
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])
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const result = fuzzyMatchModel("claude-opus-4-5", available)
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expect(result).toBe("anthropic/claude-opus-4-5")
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})
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// #given available models with multiple providers
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// #when multiple providers are specified
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// #then search all specified providers
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it("should search all specified providers", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"anthropic/claude-opus-4-5",
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"google/gemini-3",
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])
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const result = fuzzyMatchModel("gpt", available, ["openai", "google"])
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expect(result).toBe("openai/gpt-5.2")
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})
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// #given available models with provider prefix
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// #when searching with provider filter
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// #then only match models with correct provider prefix
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it("should only match models with correct provider prefix", () => {
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const available = new Set([
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"openai/gpt-5.2",
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"anthropic/gpt-something",
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])
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const result = fuzzyMatchModel("gpt", available, ["openai"])
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expect(result).toBe("openai/gpt-5.2")
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})
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// #given empty available set
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// #when searching
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// #then return null
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it("should return null for empty available set", () => {
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const available = new Set<string>()
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const result = fuzzyMatchModel("gpt", available)
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expect(result).toBeNull()
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})
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})
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describe("getConnectedProviders", () => {
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//#given SDK client with connected providers
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//#when provider.list returns data
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//#then returns connected array
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it("should return connected providers from SDK", async () => {
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const mockClient = {
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provider: {
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list: async () => ({
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data: { connected: ["anthropic", "opencode", "google"] }
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})
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}
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}
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const result = await getConnectedProviders(mockClient)
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expect(result).toEqual(["anthropic", "opencode", "google"])
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})
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//#given SDK client
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//#when provider.list throws error
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//#then returns empty array
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it("should return empty array on SDK error", async () => {
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const mockClient = {
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provider: {
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list: async () => { throw new Error("Network error") }
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}
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}
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const result = await getConnectedProviders(mockClient)
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expect(result).toEqual([])
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})
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//#given SDK client with empty connected array
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//#when provider.list returns empty
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//#then returns empty array
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it("should return empty array when no providers connected", async () => {
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const mockClient = {
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provider: {
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list: async () => ({ data: { connected: [] } })
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}
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}
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const result = await getConnectedProviders(mockClient)
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expect(result).toEqual([])
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})
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//#given SDK client without provider.list method
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//#when getConnectedProviders called
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//#then returns empty array
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it("should return empty array when client.provider.list not available", async () => {
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const mockClient = {}
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const result = await getConnectedProviders(mockClient)
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expect(result).toEqual([])
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})
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//#given null client
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//#when getConnectedProviders called
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//#then returns empty array
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it("should return empty array for null client", async () => {
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const result = await getConnectedProviders(null)
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expect(result).toEqual([])
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})
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//#given SDK client with missing data.connected
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//#when provider.list returns without connected field
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//#then returns empty array
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it("should return empty array when data.connected is undefined", async () => {
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const mockClient = {
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provider: {
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list: async () => ({ data: {} })
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}
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}
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const result = await getConnectedProviders(mockClient)
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expect(result).toEqual([])
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})
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})
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describe("fetchAvailableModels with connected providers filtering", () => {
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let tempDir: string
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let originalXdgCache: string | undefined
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beforeEach(() => {
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__resetModelCache()
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tempDir = mkdtempSync(join(tmpdir(), "opencode-test-"))
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originalXdgCache = process.env.XDG_CACHE_HOME
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process.env.XDG_CACHE_HOME = tempDir
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})
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afterEach(() => {
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if (originalXdgCache !== undefined) {
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process.env.XDG_CACHE_HOME = originalXdgCache
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} else {
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delete process.env.XDG_CACHE_HOME
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}
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rmSync(tempDir, { recursive: true, force: true })
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})
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function writeModelsCache(data: Record<string, any>) {
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const cacheDir = join(tempDir, "opencode")
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require("fs").mkdirSync(cacheDir, { recursive: true })
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writeFileSync(join(cacheDir, "models.json"), JSON.stringify(data))
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}
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//#given cache with multiple providers
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//#when connectedProviders specifies one provider
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//#then only returns models from that provider
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it("should filter models by connected providers", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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google: { models: { "gemini-3-pro": { id: "gemini-3-pro" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: ["anthropic"]
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})
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expect(result.size).toBe(1)
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expect(result.has("anthropic/claude-opus-4-5")).toBe(true)
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expect(result.has("openai/gpt-5.2")).toBe(false)
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expect(result.has("google/gemini-3-pro")).toBe(false)
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})
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//#given cache with multiple providers
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//#when connectedProviders specifies multiple providers
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//#then returns models from all specified providers
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it("should filter models by multiple connected providers", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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google: { models: { "gemini-3-pro": { id: "gemini-3-pro" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: ["anthropic", "google"]
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})
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expect(result.size).toBe(2)
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expect(result.has("anthropic/claude-opus-4-5")).toBe(true)
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expect(result.has("google/gemini-3-pro")).toBe(true)
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expect(result.has("openai/gpt-5.2")).toBe(false)
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})
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//#given cache with models
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//#when connectedProviders is empty array
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//#then returns empty set
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it("should return empty set when connectedProviders is empty", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: []
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})
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expect(result.size).toBe(0)
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})
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//#given cache with models
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//#when connectedProviders is undefined (no options)
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//#then returns empty set (triggers fallback in resolver)
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it("should return empty set when connectedProviders not specified", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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})
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const result = await fetchAvailableModels()
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expect(result.size).toBe(0)
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})
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//#given cache with models
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//#when connectedProviders contains provider not in cache
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//#then returns empty set for that provider
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it("should handle provider not in cache gracefully", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: ["azure"]
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})
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expect(result.size).toBe(0)
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})
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//#given cache with models and mixed connected providers
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//#when some providers exist in cache and some don't
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//#then returns models only from matching providers
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it("should return models from providers that exist in both cache and connected list", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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})
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const result = await fetchAvailableModels(undefined, {
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connectedProviders: ["anthropic", "azure", "unknown"]
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})
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expect(result.size).toBe(1)
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expect(result.has("anthropic/claude-opus-4-5")).toBe(true)
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})
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//#given filtered fetch
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//#when called twice with different filters
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//#then does NOT use cache (dynamic per-session)
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it("should not cache filtered results", async () => {
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writeModelsCache({
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openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
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anthropic: { models: { "claude-opus-4-5": { id: "claude-opus-4-5" } } },
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})
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// First call with anthropic
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const result1 = await fetchAvailableModels(undefined, {
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connectedProviders: ["anthropic"]
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})
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expect(result1.size).toBe(1)
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// Second call with openai - should work, not cached
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const result2 = await fetchAvailableModels(undefined, {
|
|
connectedProviders: ["openai"]
|
|
})
|
|
expect(result2.size).toBe(1)
|
|
expect(result2.has("openai/gpt-5.2")).toBe(true)
|
|
})
|
|
|
|
//#given connectedProviders unknown
|
|
//#when called twice without connectedProviders
|
|
//#then always returns empty set (triggers fallback)
|
|
it("should return empty set when connectedProviders unknown", async () => {
|
|
writeModelsCache({
|
|
openai: { models: { "gpt-5.2": { id: "gpt-5.2" } } },
|
|
})
|
|
|
|
const result1 = await fetchAvailableModels()
|
|
const result2 = await fetchAvailableModels()
|
|
|
|
expect(result1.size).toBe(0)
|
|
expect(result2.size).toBe(0)
|
|
})
|
|
})
|
|
|
|
describe("fetchAvailableModels with provider-models cache (whitelist-filtered)", () => {
|
|
let tempDir: string
|
|
let originalXdgCache: string | undefined
|
|
|
|
beforeEach(() => {
|
|
__resetModelCache()
|
|
tempDir = mkdtempSync(join(tmpdir(), "opencode-test-"))
|
|
originalXdgCache = process.env.XDG_CACHE_HOME
|
|
process.env.XDG_CACHE_HOME = tempDir
|
|
})
|
|
|
|
afterEach(() => {
|
|
if (originalXdgCache !== undefined) {
|
|
process.env.XDG_CACHE_HOME = originalXdgCache
|
|
} else {
|
|
delete process.env.XDG_CACHE_HOME
|
|
}
|
|
rmSync(tempDir, { recursive: true, force: true })
|
|
})
|
|
|
|
function writeProviderModelsCache(data: { models: Record<string, string[]>; connected: string[] }) {
|
|
const cacheDir = join(tempDir, "oh-my-opencode")
|
|
require("fs").mkdirSync(cacheDir, { recursive: true })
|
|
writeFileSync(join(cacheDir, "provider-models.json"), JSON.stringify({
|
|
...data,
|
|
updatedAt: new Date().toISOString()
|
|
}))
|
|
}
|
|
|
|
function writeModelsCache(data: Record<string, any>) {
|
|
const cacheDir = join(tempDir, "opencode")
|
|
require("fs").mkdirSync(cacheDir, { recursive: true })
|
|
writeFileSync(join(cacheDir, "models.json"), JSON.stringify(data))
|
|
}
|
|
|
|
//#given provider-models cache exists (whitelist-filtered)
|
|
//#when fetchAvailableModels called
|
|
//#then uses provider-models cache instead of models.json
|
|
it("should prefer provider-models cache over models.json", async () => {
|
|
writeProviderModelsCache({
|
|
models: {
|
|
opencode: ["glm-4.7-free", "gpt-5-nano"],
|
|
anthropic: ["claude-opus-4-5"]
|
|
},
|
|
connected: ["opencode", "anthropic"]
|
|
})
|
|
writeModelsCache({
|
|
opencode: { models: { "glm-4.7-free": {}, "gpt-5-nano": {}, "gpt-5.2": {} } },
|
|
anthropic: { models: { "claude-opus-4-5": {}, "claude-sonnet-4-5": {} } }
|
|
})
|
|
|
|
const result = await fetchAvailableModels(undefined, {
|
|
connectedProviders: ["opencode", "anthropic"]
|
|
})
|
|
|
|
expect(result.size).toBe(3)
|
|
expect(result.has("opencode/glm-4.7-free")).toBe(true)
|
|
expect(result.has("opencode/gpt-5-nano")).toBe(true)
|
|
expect(result.has("anthropic/claude-opus-4-5")).toBe(true)
|
|
expect(result.has("opencode/gpt-5.2")).toBe(false)
|
|
expect(result.has("anthropic/claude-sonnet-4-5")).toBe(false)
|
|
})
|
|
|
|
//#given only models.json exists (no provider-models cache)
|
|
//#when fetchAvailableModels called
|
|
//#then falls back to models.json (no whitelist filtering)
|
|
it("should fallback to models.json when provider-models cache not found", async () => {
|
|
writeModelsCache({
|
|
opencode: { models: { "glm-4.7-free": {}, "gpt-5-nano": {}, "gpt-5.2": {} } },
|
|
})
|
|
|
|
const result = await fetchAvailableModels(undefined, {
|
|
connectedProviders: ["opencode"]
|
|
})
|
|
|
|
expect(result.size).toBe(3)
|
|
expect(result.has("opencode/glm-4.7-free")).toBe(true)
|
|
expect(result.has("opencode/gpt-5-nano")).toBe(true)
|
|
expect(result.has("opencode/gpt-5.2")).toBe(true)
|
|
})
|
|
|
|
//#given provider-models cache with whitelist
|
|
//#when connectedProviders filters to subset
|
|
//#then only returns models from connected providers
|
|
it("should filter by connectedProviders even with provider-models cache", async () => {
|
|
writeProviderModelsCache({
|
|
models: {
|
|
opencode: ["glm-4.7-free"],
|
|
anthropic: ["claude-opus-4-5"],
|
|
google: ["gemini-3-pro"]
|
|
},
|
|
connected: ["opencode", "anthropic", "google"]
|
|
})
|
|
|
|
const result = await fetchAvailableModels(undefined, {
|
|
connectedProviders: ["opencode"]
|
|
})
|
|
|
|
expect(result.size).toBe(1)
|
|
expect(result.has("opencode/glm-4.7-free")).toBe(true)
|
|
expect(result.has("anthropic/claude-opus-4-5")).toBe(false)
|
|
expect(result.has("google/gemini-3-pro")).toBe(false)
|
|
})
|
|
})
|