tf_code/packages/tfcode/test/cli/github-action.test.ts
Gab a8b73fd754 refactor: apply minimal tfcode branding
- Rename packages/opencode → packages/tfcode (directory only)
- Rename bin/opencode → bin/tfcode (CLI binary)
- Rename .opencode → .tfcode (config directory)
- Update package.json name and bin field
- Update config directory path references (.tfcode)
- Keep internal code references as 'opencode' for easy upstream sync
- Keep @opencode-ai/* workspace package names

This minimal branding approach allows clean merges from upstream
opencode repository while providing tfcode branding for users.
2026-03-24 13:20:14 +11:00

199 lines
6.3 KiB
TypeScript

import { test, expect, describe } from "bun:test"
import { extractResponseText, formatPromptTooLargeError } from "../../src/cli/cmd/github"
import type { MessageV2 } from "../../src/session/message-v2"
import { SessionID, MessageID, PartID } from "../../src/session/schema"
// Helper to create minimal valid parts
function createTextPart(text: string): MessageV2.Part {
return {
id: PartID.ascending(),
sessionID: SessionID.make("s"),
messageID: MessageID.make("m"),
type: "text" as const,
text,
}
}
function createReasoningPart(text: string): MessageV2.Part {
return {
id: PartID.ascending(),
sessionID: SessionID.make("s"),
messageID: MessageID.make("m"),
type: "reasoning" as const,
text,
time: { start: 0 },
}
}
function createToolPart(tool: string, title: string, status: "completed" | "running" = "completed"): MessageV2.Part {
if (status === "completed") {
return {
id: PartID.ascending(),
sessionID: SessionID.make("s"),
messageID: MessageID.make("m"),
type: "tool" as const,
callID: "c1",
tool,
state: {
status: "completed",
input: {},
output: "",
title,
metadata: {},
time: { start: 0, end: 1 },
},
}
}
return {
id: PartID.ascending(),
sessionID: SessionID.make("s"),
messageID: MessageID.make("m"),
type: "tool" as const,
callID: "c1",
tool,
state: {
status: "running",
input: {},
time: { start: 0 },
},
}
}
function createStepStartPart(): MessageV2.Part {
return {
id: PartID.ascending(),
sessionID: SessionID.make("s"),
messageID: MessageID.make("m"),
type: "step-start" as const,
}
}
function createStepFinishPart(): MessageV2.Part {
return {
id: PartID.ascending(),
sessionID: SessionID.make("s"),
messageID: MessageID.make("m"),
type: "step-finish" as const,
reason: "done",
cost: 0,
tokens: { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } },
}
}
describe("extractResponseText", () => {
test("returns text from text part", () => {
const parts = [createTextPart("Hello world")]
expect(extractResponseText(parts)).toBe("Hello world")
})
test("returns last text part when multiple exist", () => {
const parts = [createTextPart("First"), createTextPart("Last")]
expect(extractResponseText(parts)).toBe("Last")
})
test("returns text even when tool parts follow", () => {
const parts = [createTextPart("I'll help with that."), createToolPart("todowrite", "3 todos")]
expect(extractResponseText(parts)).toBe("I'll help with that.")
})
test("returns null for reasoning-only response (signals summary needed)", () => {
const parts = [createReasoningPart("Let me think about this...")]
expect(extractResponseText(parts)).toBeNull()
})
test("returns null for tool-only response (signals summary needed)", () => {
// This is the exact scenario from the bug report - todowrite with no text
const parts = [createToolPart("todowrite", "8 todos")]
expect(extractResponseText(parts)).toBeNull()
})
test("returns null for multiple completed tools", () => {
const parts = [
createToolPart("read", "src/file.ts"),
createToolPart("edit", "src/file.ts"),
createToolPart("bash", "bun test"),
]
expect(extractResponseText(parts)).toBeNull()
})
test("returns null for running tool parts (signals summary needed)", () => {
const parts = [createToolPart("bash", "", "running")]
expect(extractResponseText(parts)).toBeNull()
})
test("throws on empty array", () => {
expect(() => extractResponseText([])).toThrow("no parts returned")
})
test("returns null for step-start only", () => {
const parts = [createStepStartPart()]
expect(extractResponseText(parts)).toBeNull()
})
test("returns null for step-finish only", () => {
const parts = [createStepFinishPart()]
expect(extractResponseText(parts)).toBeNull()
})
test("returns null for step-start and step-finish", () => {
const parts = [createStepStartPart(), createStepFinishPart()]
expect(extractResponseText(parts)).toBeNull()
})
test("returns text from multi-step response", () => {
const parts = [
createStepStartPart(),
createToolPart("read", "src/file.ts"),
createTextPart("Done"),
createStepFinishPart(),
]
expect(extractResponseText(parts)).toBe("Done")
})
test("prefers text over reasoning when both present", () => {
const parts = [createReasoningPart("Internal thinking..."), createTextPart("Final answer")]
expect(extractResponseText(parts)).toBe("Final answer")
})
test("prefers text over tools when both present", () => {
const parts = [createToolPart("read", "src/file.ts"), createTextPart("Here's what I found")]
expect(extractResponseText(parts)).toBe("Here's what I found")
})
})
describe("formatPromptTooLargeError", () => {
test("formats error without files", () => {
const result = formatPromptTooLargeError([])
expect(result).toBe("PROMPT_TOO_LARGE: The prompt exceeds the model's context limit.")
})
test("formats error with files (base64 content)", () => {
// Base64 is ~33% larger than original, so we multiply by 0.75 to get original size
// 400 KB base64 = 300 KB original, 200 KB base64 = 150 KB original
const files = [
{ filename: "screenshot.png", content: "a".repeat(400 * 1024) },
{ filename: "diagram.png", content: "b".repeat(200 * 1024) },
]
const result = formatPromptTooLargeError(files)
expect(result).toStartWith("PROMPT_TOO_LARGE: The prompt exceeds the model's context limit.")
expect(result).toInclude("Files in prompt:")
expect(result).toInclude("screenshot.png (300 KB)")
expect(result).toInclude("diagram.png (150 KB)")
})
test("lists all files when multiple present", () => {
// Base64 sizes: 4KB -> 3KB, 8KB -> 6KB, 12KB -> 9KB
const files = [
{ filename: "img1.png", content: "x".repeat(4 * 1024) },
{ filename: "img2.jpg", content: "y".repeat(8 * 1024) },
{ filename: "img3.gif", content: "z".repeat(12 * 1024) },
]
const result = formatPromptTooLargeError(files)
expect(result).toInclude("img1.png (3 KB)")
expect(result).toInclude("img2.jpg (6 KB)")
expect(result).toInclude("img3.gif (9 KB)")
})
})