feat(FN-1920): merge fusion/fn-1920

This commit is contained in:
gsxdsm
2026-04-16 08:53:14 -07:00
parent caa03ad752
commit 563f169f3d
5 changed files with 420 additions and 217 deletions

View File

@@ -7,15 +7,25 @@ import { createRoadmapRouter } from "./roadmap-routes.js";
import { ApiError } from "./api-error.js";
import type { Roadmap, RoadmapMilestone, RoadmapFeature, RoadmapStore } from "@fusion/core";
vi.mock("./roadmap-suggestions.js", () => ({
generateMilestoneSuggestions: vi.fn().mockResolvedValue({ suggestions: [] }),
validateSuggestionInput: vi.fn(),
generateFeatureSuggestions: vi.fn().mockResolvedValue({ suggestions: [] }),
validateFeatureSuggestionInput: vi.fn(),
ValidationError: class extends Error { name = "ValidationError"; constructor(m: string) { super(m); } },
ParseError: class extends Error { name = "ParseError"; constructor(m: string) { super(m); } },
ServiceUnavailableError: class extends Error { name = "ServiceUnavailableError"; constructor(m: string) { super(m); } },
}));
// vi.mock is hoisted
vi.mock("./roadmap-suggestions.js", () => {
// Define error classes inside the factory - these will be used by the mocked module
class MockValidationError extends Error { name = "ValidationError"; constructor(m: string) { super(m); } }
class MockParseError extends Error { name = "ParseError"; constructor(m: string) { super(m); } }
class MockServiceUnavailableError extends Error { name = "ServiceUnavailableError"; constructor(m: string) { super(m); } }
return {
generateMilestoneSuggestions: vi.fn().mockResolvedValue({ suggestions: [] }),
validateSuggestionInput: vi.fn(),
generateFeatureSuggestions: vi.fn().mockResolvedValue({ suggestions: [] }),
validateFeatureSuggestionInput: vi.fn(),
ValidationError: MockValidationError,
ParseError: MockParseError,
ServiceUnavailableError: MockServiceUnavailableError,
SUGGESTION_TIMEOUT_MS: 120_000,
};
});
const mockGetOrCreateProjectStore = vi.fn();
vi.mock("./project-store-resolver.js", () => ({
@@ -564,4 +574,57 @@ describe("Roadmap Routes", () => {
expect(response.body.description).toBe("Feature desc");
});
});
describe("POST /api/roadmaps/:roadmapId/suggestions/milestones", () => {
it("returns 503 when generation times out", async () => {
// Import the mocked module
const mod = await import("./roadmap-suggestions.js");
// Create an instance of the mocked ServiceUnavailableError
const error = new mod.ServiceUnavailableError("AI suggestion generation timed out. Please try again.");
// Mock to throw ServiceUnavailableError with timeout message
(mod.generateMilestoneSuggestions as ReturnType<typeof vi.fn>).mockRejectedValue(error);
const roadmap = mockRoadmapStore.createRoadmap({ title: "Test Roadmap" });
const response = await performRequest(
app,
"POST",
"/api/roadmaps/" + roadmap.id + "/suggestions/milestones",
JSON.stringify({ goalPrompt: "Build a platform", count: 5 }),
{ "Content-Type": "application/json" }
);
expect(response.status).toBe(503);
expect(response.body.error).toContain("timed out");
});
});
describe("POST /api/roadmaps/milestones/:milestoneId/suggestions/features", () => {
it("returns 503 when generation times out", async () => {
// Import the mocked module - vi.mocked helps with type inference
const mod = vi.mocked(await import("./roadmap-suggestions.js"));
// Create an instance of the mocked ServiceUnavailableError
const error = new mod.ServiceUnavailableError("AI suggestion generation timed out. Please try again.");
// Mock to throw ServiceUnavailableError with timeout message
mod.generateFeatureSuggestions.mockRejectedValue(error);
const roadmap = mockRoadmapStore.createRoadmap({ title: "Test Roadmap" });
const milestone = mockRoadmapStore.createMilestone(roadmap.id, { title: "Phase 1" });
const response = await performRequest(
app,
"POST",
"/api/roadmaps/milestones/" + milestone.id + "/suggestions/features",
JSON.stringify({ count: 5 }),
{ "Content-Type": "application/json" }
);
expect(response.status).toBe(503);
expect(response.body.error).toContain("timed out");
});
});
});

View File

@@ -50,6 +50,7 @@ import {
ValidationError as SuggestionValidationError,
ParseError as SuggestionParseError,
ServiceUnavailableError as SuggestionServiceUnavailableError,
SUGGESTION_TIMEOUT_MS,
} from "./roadmap-suggestions.js";
import { getOrCreateProjectStore } from "./project-store-resolver.js";
@@ -452,6 +453,21 @@ export function createRoadmapRouter(store: TaskStore): Router {
* Generate milestone suggestions using AI.
*/
router.post("/:roadmapId/suggestions/milestones", async (req, res) => {
// Route-level timeout as safety net (slightly longer than internal timeout)
const ROUTE_TIMEOUT_MS = SUGGESTION_TIMEOUT_MS + 10_000;
let routeTimedOut = false;
const routeTimeoutId = setTimeout(() => {
routeTimedOut = true;
if (!res.headersSent) {
res.status(503).json({ error: "Request timed out" });
}
}, ROUTE_TIMEOUT_MS);
// Clean up timeout on connection close
res.on("close", () => {
if (routeTimeoutId) clearTimeout(routeTimeoutId);
});
try {
const roadmapStore = getScopedStore().getRoadmapStore();
const scopedStore = getScopedStore();
@@ -500,6 +516,8 @@ export function createRoadmapRouter(store: TaskStore): Router {
} catch (err) {
if (err instanceof ApiError) throw err;
rethrowAsApiError(err, "Failed to generate milestone suggestions");
} finally {
if (routeTimeoutId) clearTimeout(routeTimeoutId);
}
});
@@ -508,6 +526,21 @@ export function createRoadmapRouter(store: TaskStore): Router {
* Generate feature suggestions using AI.
*/
router.post("/milestones/:milestoneId/suggestions/features", async (req, res) => {
// Route-level timeout as safety net (slightly longer than internal timeout)
const ROUTE_TIMEOUT_MS = SUGGESTION_TIMEOUT_MS + 10_000;
let routeTimedOut = false;
const routeTimeoutId = setTimeout(() => {
routeTimedOut = true;
if (!res.headersSent) {
res.status(503).json({ error: "Request timed out" });
}
}, ROUTE_TIMEOUT_MS);
// Clean up timeout on connection close
res.on("close", () => {
if (routeTimeoutId) clearTimeout(routeTimeoutId);
});
try {
const roadmapStore = getScopedStore().getRoadmapStore();
const scopedStore = getScopedStore();
@@ -576,6 +609,8 @@ export function createRoadmapRouter(store: TaskStore): Router {
} catch (err) {
if (err instanceof ApiError) throw err;
rethrowAsApiError(err, "Failed to generate feature suggestions");
} finally {
if (routeTimeoutId) clearTimeout(routeTimeoutId);
}
});

View File

@@ -6,6 +6,8 @@ import {
generateFeatureSuggestions,
ValidationError,
ParseError,
ServiceUnavailableError,
SUGGESTION_TIMEOUT_MS,
__resetSuggestionState,
__setCreateKbAgent,
} from "./roadmap-suggestions";
@@ -617,6 +619,43 @@ describe("roadmap-suggestions", () => {
})
);
});
it("times out when AI prompt hangs", async () => {
// Create a mock session whose prompt hangs (never resolves)
const mockSession = {
prompt: vi.fn().mockReturnValue(
new Promise<undefined>(() => {
// Never resolves - simulates hanging AI
})
),
dispose: vi.fn(),
state: {
messages: [],
},
};
const mockCreateKbAgent = vi.fn().mockResolvedValue({
session: mockSession,
});
__setCreateKbAgent(mockCreateKbAgent);
// Use fake timers
vi.useFakeTimers();
try {
const promise = generateMilestoneSuggestions("Test goal", 5, rootDir);
// Advance timers past the timeout threshold
await vi.advanceTimersByTimeAsync(SUGGESTION_TIMEOUT_MS + 100);
// The promise should reject with ServiceUnavailableError
await expect(promise).rejects.toThrow(ServiceUnavailableError);
await expect(promise).rejects.toThrow(/timed out/i);
} finally {
vi.useRealTimers();
}
});
});
describe("validateFeatureSuggestionInput", () => {
@@ -1406,5 +1445,42 @@ describe("roadmap-suggestions", () => {
expect(suggestions[0]).toEqual({ title: "Valid", description: undefined });
expect(suggestions[1]).toEqual({ title: "Also Valid", description: undefined });
});
it("times out when AI prompt hangs", async () => {
// Create a mock session whose prompt hangs (never resolves)
const mockSession = {
prompt: vi.fn().mockReturnValue(
new Promise<undefined>(() => {
// Never resolves - simulates hanging AI
})
),
dispose: vi.fn(),
state: {
messages: [],
},
};
const mockCreateKbAgent = vi.fn().mockResolvedValue({
session: mockSession,
});
__setCreateKbAgent(mockCreateKbAgent);
// Use fake timers
vi.useFakeTimers();
try {
const promise = generateFeatureSuggestions(baseContext, 5, undefined, rootDir);
// Advance timers past the timeout threshold
await vi.advanceTimersByTimeAsync(SUGGESTION_TIMEOUT_MS + 100);
// The promise should reject with ServiceUnavailableError
await expect(promise).rejects.toThrow(ServiceUnavailableError);
await expect(promise).rejects.toThrow(/timed out/i);
} finally {
vi.useRealTimers();
}
});
});
});

View File

@@ -13,8 +13,6 @@
* - Error mapping (validation 400, not found 404, AI/parser 500/503)
*/
import { randomUUID } from "node:crypto";
// Dynamic import for @fusion/engine to avoid resolution issues in test environment
// eslint-disable-next-line @typescript-eslint/no-explicit-any
let createKbAgent: any;
@@ -97,6 +95,9 @@ Do NOT include any markdown formatting, code fences, or additional text. Only ou
/** Maximum length for goal prompt */
const MAX_GOAL_PROMPT_LENGTH = 4000;
/** Timeout for AI suggestion generation (2 minutes) */
export const SUGGESTION_TIMEOUT_MS = 120_000;
/** Default number of suggestions to generate */
const DEFAULT_SUGGESTION_COUNT = 5;
@@ -364,122 +365,132 @@ export async function generateMilestoneSuggestions(
throw new Error("rootDir is required for AI-powered suggestion generation");
}
// Create a unique session ID for this generation
const sessionId = randomUUID();
// Race AI generation against a timeout to prevent hanging requests
const result = await Promise.race([
(async () => {
let agent: ReturnType<typeof createKbAgent> | undefined;
let agent: ReturnType<typeof createKbAgent> | undefined;
try {
// Create AI agent with milestone suggestion system prompt
agent = await createKbAgent({
cwd: rootDir,
systemPrompt: MILESTONE_SUGGESTION_SYSTEM_PROMPT,
tools: "readonly",
...(modelProvider && modelId
? {
defaultProvider: modelProvider,
defaultModelId: modelId,
}
: {}),
onThinking: () => {
// Ignore thinking output for milestone suggestions
},
onText: () => {
// Ignore incremental text
},
});
// Send the goal prompt with count instruction
const userMessage = `Please suggest ${count} milestones for the following roadmap goal:\n\n${goalPrompt.trim()}`;
// Get response from AI
await agent.session.prompt(userMessage);
// Extract response text from agent state
interface AgentMessage {
role: string;
content?: string | Array<{ type: string; text: string }>;
}
const lastMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
let responseText = "";
if (lastMessage?.content) {
if (typeof lastMessage.content === "string") {
responseText = lastMessage.content;
} else if (Array.isArray(lastMessage.content)) {
responseText = lastMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
}
}
// Parse the JSON response with retry
let suggestions: MilestoneSuggestion[] | undefined;
let lastError: Error | undefined;
for (let attempt = 0; attempt <= MAX_PARSE_RETRIES; attempt++) {
try {
suggestions = parseMilestoneSuggestions(responseText);
break;
} catch (err) {
lastError = err instanceof Error ? err : new Error(String(err));
// Create AI agent with milestone suggestion system prompt
agent = await createKbAgent({
cwd: rootDir,
systemPrompt: MILESTONE_SUGGESTION_SYSTEM_PROMPT,
tools: "readonly",
...(modelProvider && modelId
? {
defaultProvider: modelProvider,
defaultModelId: modelId,
}
: {}),
onThinking: () => {
// Ignore thinking output for milestone suggestions
},
onText: () => {
// Ignore incremental text
},
});
if (attempt < MAX_PARSE_RETRIES) {
// Retry: ask the AI to reformat as clean JSON
// Send the goal prompt with count instruction
const userMessage = `Please suggest ${count} milestones for the following roadmap goal:\n\n${goalPrompt.trim()}`;
// Get response from AI
await agent.session.prompt(userMessage);
// Extract response text from agent state
interface AgentMessage {
role: string;
content?: string | Array<{ type: string; text: string }>;
}
const lastMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
let responseText = "";
if (lastMessage?.content) {
if (typeof lastMessage.content === "string") {
responseText = lastMessage.content;
} else if (Array.isArray(lastMessage.content)) {
responseText = lastMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
}
}
// Parse the JSON response with retry
let suggestions: MilestoneSuggestion[] | undefined;
let lastError: Error | undefined;
for (let attempt = 0; attempt <= MAX_PARSE_RETRIES; attempt++) {
try {
await agent.session.prompt(
"Your previous response could not be parsed as JSON. " +
"Please respond with ONLY a JSON array of milestone suggestions in this format: " +
'[{"title": "Milestone Title", "description": "Brief description"}, ...]. ' +
"No markdown, no explanation, just the JSON array."
);
suggestions = parseMilestoneSuggestions(responseText);
break;
} catch (err) {
lastError = err instanceof Error ? err : new Error(String(err));
// Get the new response text
const retryMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
if (attempt < MAX_PARSE_RETRIES) {
// Retry: ask the AI to reformat as clean JSON
try {
await agent.session.prompt(
"Your previous response could not be parsed as JSON. " +
"Please respond with ONLY a JSON array of milestone suggestions in this format: " +
'[{"title": "Milestone Title", "description": "Brief description"}, ...]. ' +
"No markdown, no explanation, just the JSON array."
);
let retryText = "";
if (retryMessage?.content) {
if (typeof retryMessage.content === "string") {
retryText = retryMessage.content;
} else if (Array.isArray(retryMessage.content)) {
retryText = retryMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
// Get the new response text
const retryMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
let retryText = "";
if (retryMessage?.content) {
if (typeof retryMessage.content === "string") {
retryText = retryMessage.content;
} else if (Array.isArray(retryMessage.content)) {
retryText = retryMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
}
}
responseText = retryText;
} catch {
// Retry prompt itself failed — give up
break;
}
}
responseText = retryText;
}
}
if (!suggestions) {
throw new ParseError(
`Failed to parse AI response after ${MAX_PARSE_RETRIES + 1} attempts: ${lastError?.message || "Unknown error"}`
);
}
// Limit to requested count
return suggestions.slice(0, count);
} finally {
// Always dispose the agent session (inside the raced promise so cleanup happens when this settles)
if (agent) {
try {
agent.session.dispose?.();
} catch {
// Retry prompt itself failed — give up
break;
// Ignore disposal errors
}
}
}
}
})(),
new Promise<never>((_, reject) =>
setTimeout(
() => reject(new ServiceUnavailableError("AI suggestion generation timed out. Please try again.")),
SUGGESTION_TIMEOUT_MS
)
),
]);
if (!suggestions) {
throw new ParseError(
`Failed to parse AI response after ${MAX_PARSE_RETRIES + 1} attempts: ${lastError?.message || "Unknown error"}`
);
}
// Limit to requested count
return suggestions.slice(0, count);
} finally {
// Always dispose the agent session
if (agent) {
try {
agent.session.dispose?.();
} catch {
// Ignore disposal errors
}
}
}
return result;
}
// ═══════════════════════════════════════════════════════════════════════════════
@@ -722,122 +733,135 @@ export async function generateFeatureSuggestions(
milestoneContextStr
);
let agent: ReturnType<typeof createKbAgent> | undefined;
// Race AI generation against a timeout to prevent hanging requests
const result = await Promise.race([
(async () => {
let agent: ReturnType<typeof createKbAgent> | undefined;
try {
// Create AI agent with feature suggestion system prompt
agent = await createKbAgent({
cwd: rootDir,
systemPrompt,
tools: "readonly",
...(modelProvider && modelId
? {
defaultProvider: modelProvider,
defaultModelId: modelId,
}
: {}),
onThinking: () => {
// Ignore thinking output for feature suggestions
},
onText: () => {
// Ignore incremental text
},
});
// Build the user message
let userMessage = `Please suggest ${count} features for the milestone described above.`;
if (prompt && prompt.trim()) {
userMessage += `\n\nAdditional guidance:\n${prompt.trim()}`;
}
// Get response from AI
await agent.session.prompt(userMessage);
// Extract response text from agent state
interface AgentMessage {
role: string;
content?: string | Array<{ type: string; text: string }>;
}
const lastMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
let responseText = "";
if (lastMessage?.content) {
if (typeof lastMessage.content === "string") {
responseText = lastMessage.content;
} else if (Array.isArray(lastMessage.content)) {
responseText = lastMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
}
}
// Parse the JSON response with retry
let suggestions: FeatureSuggestion[] | undefined;
let lastError: Error | undefined;
for (let attempt = 0; attempt <= MAX_PARSE_RETRIES; attempt++) {
try {
suggestions = parseFeatureSuggestions(responseText);
break;
} catch (err) {
lastError = err instanceof Error ? err : new Error(String(err));
// Create AI agent with feature suggestion system prompt
agent = await createKbAgent({
cwd: rootDir,
systemPrompt,
tools: "readonly",
...(modelProvider && modelId
? {
defaultProvider: modelProvider,
defaultModelId: modelId,
}
: {}),
onThinking: () => {
// Ignore thinking output for feature suggestions
},
onText: () => {
// Ignore incremental text
},
});
if (attempt < MAX_PARSE_RETRIES) {
// Retry: ask the AI to reformat as clean JSON
// Build the user message
let userMessage = `Please suggest ${count} features for the milestone described above.`;
if (prompt && prompt.trim()) {
userMessage += `\n\nAdditional guidance:\n${prompt.trim()}`;
}
// Get response from AI
await agent.session.prompt(userMessage);
// Extract response text from agent state
interface AgentMessage {
role: string;
content?: string | Array<{ type: string; text: string }>;
}
const lastMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
let responseText = "";
if (lastMessage?.content) {
if (typeof lastMessage.content === "string") {
responseText = lastMessage.content;
} else if (Array.isArray(lastMessage.content)) {
responseText = lastMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
}
}
// Parse the JSON response with retry
let suggestions: FeatureSuggestion[] | undefined;
let lastError: Error | undefined;
for (let attempt = 0; attempt <= MAX_PARSE_RETRIES; attempt++) {
try {
await agent.session.prompt(
"Your previous response could not be parsed as JSON. " +
"Please respond with ONLY a JSON array of feature suggestions in this format: " +
'[{"title": "Feature Title", "description": "Brief description"}, ...]. ' +
"No markdown, no explanation, just the JSON array."
);
suggestions = parseFeatureSuggestions(responseText);
break;
} catch (err) {
lastError = err instanceof Error ? err : new Error(String(err));
// Get the new response text
const retryMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
if (attempt < MAX_PARSE_RETRIES) {
// Retry: ask the AI to reformat as clean JSON
try {
await agent.session.prompt(
"Your previous response could not be parsed as JSON. " +
"Please respond with ONLY a JSON array of feature suggestions in this format: " +
'[{"title": "Feature Title", "description": "Brief description"}, ...]. ' +
"No markdown, no explanation, just the JSON array."
);
let retryText = "";
if (retryMessage?.content) {
if (typeof retryMessage.content === "string") {
retryText = retryMessage.content;
} else if (Array.isArray(retryMessage.content)) {
retryText = retryMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
// Get the new response text
const retryMessage = (agent.session.state.messages as AgentMessage[])
.filter((m: AgentMessage) => m.role === "assistant")
.pop();
let retryText = "";
if (retryMessage?.content) {
if (typeof retryMessage.content === "string") {
retryText = retryMessage.content;
} else if (Array.isArray(retryMessage.content)) {
retryText = retryMessage.content
.filter((c: { type: string; text: string }): c is { type: "text"; text: string } => c.type === "text")
.map((c: { type: string; text: string }) => c.text)
.join("");
}
}
responseText = retryText;
} catch {
// Retry prompt itself failed — give up
break;
}
}
responseText = retryText;
}
}
if (!suggestions) {
throw new ParseError(
`Failed to parse AI response after ${MAX_PARSE_RETRIES + 1} attempts: ${lastError?.message || "Unknown error"}`
);
}
// Limit to requested count
return suggestions.slice(0, count);
} finally {
// Always dispose the agent session (inside the raced promise so cleanup happens when this settles)
if (agent) {
try {
agent.session.dispose?.();
} catch {
// Retry prompt itself failed — give up
break;
// Ignore disposal errors
}
}
}
}
})(),
new Promise<never>((_, reject) =>
setTimeout(
() => reject(new ServiceUnavailableError("AI suggestion generation timed out. Please try again.")),
SUGGESTION_TIMEOUT_MS
)
),
]);
if (!suggestions) {
throw new ParseError(
`Failed to parse AI response after ${MAX_PARSE_RETRIES + 1} attempts: ${lastError?.message || "Unknown error"}`
);
}
// Limit to requested count
return suggestions.slice(0, count);
} finally {
// Always dispose the agent session
if (agent) {
try {
agent.session.dispose?.();
} catch {
// Ignore disposal errors
}
}
}
return result;
}
// ── Custom Errors ───────────────────────────────────────────────────────────