Merge pull request #650 from AutoMaker-Org/fix/ideation-view-non-claude-models

fix: ideation view not working with other providers
This commit is contained in:
Shirone
2026-01-21 22:49:11 +00:00
committed by GitHub
22 changed files with 94 additions and 851 deletions

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@@ -43,7 +43,6 @@ import { createEnhancePromptRoutes } from './routes/enhance-prompt/index.js';
import { createWorktreeRoutes } from './routes/worktree/index.js';
import { createGitRoutes } from './routes/git/index.js';
import { createSetupRoutes } from './routes/setup/index.js';
import { createSuggestionsRoutes } from './routes/suggestions/index.js';
import { createModelsRoutes } from './routes/models/index.js';
import { createRunningAgentsRoutes } from './routes/running-agents/index.js';
import { createWorkspaceRoutes } from './routes/workspace/index.js';
@@ -331,7 +330,6 @@ app.use('/api/auto-mode', createAutoModeRoutes(autoModeService));
app.use('/api/enhance-prompt', createEnhancePromptRoutes(settingsService));
app.use('/api/worktree', createWorktreeRoutes(events, settingsService));
app.use('/api/git', createGitRoutes());
app.use('/api/suggestions', createSuggestionsRoutes(events, settingsService));
app.use('/api/models', createModelsRoutes());
app.use('/api/spec-regeneration', createSpecRegenerationRoutes(events, settingsService));
app.use('/api/running-agents', createRunningAgentsRoutes(autoModeService));

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@@ -337,10 +337,11 @@ export class CursorProvider extends CliProvider {
'--stream-partial-output' // Real-time streaming
);
// Only add --force if NOT in read-only mode
// Without --force, Cursor CLI suggests changes but doesn't apply them
// With --force, Cursor CLI can actually edit files
if (!options.readOnly) {
// In read-only mode, use --mode ask for Q&A style (no tools)
// Otherwise, add --force to allow file edits
if (options.readOnly) {
cliArgs.push('--mode', 'ask');
} else {
cliArgs.push('--force');
}
@@ -672,10 +673,13 @@ export class CursorProvider extends CliProvider {
);
}
// Extract prompt text to pass via stdin (avoids shell escaping issues)
const promptText = this.extractPromptText(options);
// Embed system prompt into user prompt (Cursor CLI doesn't support separate system messages)
const effectiveOptions = this.embedSystemPromptIntoPrompt(options);
const cliArgs = this.buildCliArgs(options);
// Extract prompt text to pass via stdin (avoids shell escaping issues)
const promptText = this.extractPromptText(effectiveOptions);
const cliArgs = this.buildCliArgs(effectiveOptions);
const subprocessOptions = this.buildSubprocessOptions(options, cliArgs);
// Pass prompt via stdin to avoid shell interpretation of special characters

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@@ -1,34 +0,0 @@
/**
* Common utilities and state for suggestions routes
*/
import { createLogger } from '@automaker/utils';
import { getErrorMessage as getErrorMessageShared, createLogError } from '../common.js';
const logger = createLogger('Suggestions');
// Shared state for tracking generation status - private
let isRunning = false;
let currentAbortController: AbortController | null = null;
/**
* Get the current running state
*/
export function getSuggestionsStatus(): {
isRunning: boolean;
currentAbortController: AbortController | null;
} {
return { isRunning, currentAbortController };
}
/**
* Set the running state and abort controller
*/
export function setRunningState(running: boolean, controller: AbortController | null = null): void {
isRunning = running;
currentAbortController = controller;
}
// Re-export shared utilities
export { getErrorMessageShared as getErrorMessage };
export const logError = createLogError(logger);

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@@ -1,335 +0,0 @@
/**
* Business logic for generating suggestions
*
* Model is configurable via phaseModels.suggestionsModel in settings
* (AI Suggestions in the UI). Supports both Claude and Cursor models.
*/
import type { EventEmitter } from '../../lib/events.js';
import { createLogger } from '@automaker/utils';
import { DEFAULT_PHASE_MODELS, isCursorModel, type ThinkingLevel } from '@automaker/types';
import { resolvePhaseModel } from '@automaker/model-resolver';
import { extractJsonWithArray } from '../../lib/json-extractor.js';
import { streamingQuery } from '../../providers/simple-query-service.js';
import { FeatureLoader } from '../../services/feature-loader.js';
import { getAppSpecPath } from '@automaker/platform';
import * as secureFs from '../../lib/secure-fs.js';
import type { SettingsService } from '../../services/settings-service.js';
import {
getAutoLoadClaudeMdSetting,
getPromptCustomization,
getPhaseModelWithOverrides,
getProviderByModelId,
} from '../../lib/settings-helpers.js';
const logger = createLogger('Suggestions');
/**
* Extract implemented features from app_spec.txt XML content
*
* Note: This uses regex-based parsing which is sufficient for our controlled
* XML structure. If more complex XML parsing is needed in the future, consider
* using a library like 'fast-xml-parser' or 'xml2js'.
*/
function extractImplementedFeatures(specContent: string): string[] {
const features: string[] = [];
// Match <implemented_features>...</implemented_features> section
const implementedMatch = specContent.match(
/<implemented_features>([\s\S]*?)<\/implemented_features>/
);
if (implementedMatch) {
const implementedSection = implementedMatch[1];
// Extract feature names from <name>...</name> tags using matchAll
const nameRegex = /<name>(.*?)<\/name>/g;
const matches = implementedSection.matchAll(nameRegex);
for (const match of matches) {
features.push(match[1].trim());
}
}
return features;
}
/**
* Load existing context (app spec and backlog features) to avoid duplicates
*/
async function loadExistingContext(projectPath: string): Promise<string> {
let context = '';
// 1. Read app_spec.txt for implemented features
try {
const appSpecPath = getAppSpecPath(projectPath);
const specContent = (await secureFs.readFile(appSpecPath, 'utf-8')) as string;
if (specContent && specContent.trim().length > 0) {
const implementedFeatures = extractImplementedFeatures(specContent);
if (implementedFeatures.length > 0) {
context += '\n\n=== ALREADY IMPLEMENTED FEATURES ===\n';
context += 'These features are already implemented in the codebase:\n';
context += implementedFeatures.map((feature) => `- ${feature}`).join('\n') + '\n';
}
}
} catch (error) {
// app_spec.txt doesn't exist or can't be read - that's okay
logger.debug('No app_spec.txt found or error reading it:', error);
}
// 2. Load existing features from backlog
try {
const featureLoader = new FeatureLoader();
const features = await featureLoader.getAll(projectPath);
if (features.length > 0) {
context += '\n\n=== EXISTING FEATURES IN BACKLOG ===\n';
context += 'These features are already planned or in progress:\n';
context +=
features
.map((feature) => {
const status = feature.status || 'pending';
const title = feature.title || feature.description?.substring(0, 50) || 'Untitled';
return `- ${title} (${status})`;
})
.join('\n') + '\n';
}
} catch (error) {
// Features directory doesn't exist or can't be read - that's okay
logger.debug('No features found or error loading them:', error);
}
return context;
}
/**
* JSON Schema for suggestions output
*/
const suggestionsSchema = {
type: 'object',
properties: {
suggestions: {
type: 'array',
items: {
type: 'object',
properties: {
id: { type: 'string' },
category: { type: 'string' },
description: { type: 'string' },
priority: {
type: 'number',
minimum: 1,
maximum: 3,
},
reasoning: { type: 'string' },
},
required: ['category', 'description', 'priority', 'reasoning'],
},
},
},
required: ['suggestions'],
additionalProperties: false,
};
export async function generateSuggestions(
projectPath: string,
suggestionType: string,
events: EventEmitter,
abortController: AbortController,
settingsService?: SettingsService,
modelOverride?: string,
thinkingLevelOverride?: ThinkingLevel
): Promise<void> {
// Get customized prompts from settings
const prompts = await getPromptCustomization(settingsService, '[Suggestions]');
// Map suggestion types to their prompts
const typePrompts: Record<string, string> = {
features: prompts.suggestions.featuresPrompt,
refactoring: prompts.suggestions.refactoringPrompt,
security: prompts.suggestions.securityPrompt,
performance: prompts.suggestions.performancePrompt,
};
// Load existing context to avoid duplicates
const existingContext = await loadExistingContext(projectPath);
const prompt = `${typePrompts[suggestionType] || typePrompts.features}
${existingContext}
${existingContext ? '\nIMPORTANT: Do NOT suggest features that are already implemented or already in the backlog above. Focus on NEW ideas that complement what already exists.\n' : ''}
${prompts.suggestions.baseTemplate}`;
// Don't send initial message - let the agent output speak for itself
// The first agent message will be captured as an info entry
// Load autoLoadClaudeMd setting
const autoLoadClaudeMd = await getAutoLoadClaudeMdSetting(
projectPath,
settingsService,
'[Suggestions]'
);
// Get model from phase settings with provider info (AI Suggestions = suggestionsModel)
// Use override if provided, otherwise fall back to settings
let model: string;
let thinkingLevel: ThinkingLevel | undefined;
let provider: import('@automaker/types').ClaudeCompatibleProvider | undefined;
let credentials: import('@automaker/types').Credentials | undefined;
if (modelOverride) {
// Use explicit override - resolve the model string
const resolved = resolvePhaseModel({
model: modelOverride,
thinkingLevel: thinkingLevelOverride,
});
model = resolved.model;
thinkingLevel = resolved.thinkingLevel;
// Try to find a provider for this model (e.g., GLM, MiniMax models)
if (settingsService) {
const providerResult = await getProviderByModelId(
modelOverride,
settingsService,
'[Suggestions]'
);
provider = providerResult.provider;
// Use resolved model from provider if available (maps to Claude model)
if (providerResult.resolvedModel) {
model = providerResult.resolvedModel;
}
credentials = providerResult.credentials ?? (await settingsService.getCredentials());
}
// If no settingsService, credentials remains undefined (initialized above)
} else if (settingsService) {
// Use settings-based model with provider info
const phaseResult = await getPhaseModelWithOverrides(
'suggestionsModel',
settingsService,
projectPath,
'[Suggestions]'
);
const resolved = resolvePhaseModel(phaseResult.phaseModel);
model = resolved.model;
thinkingLevel = resolved.thinkingLevel;
provider = phaseResult.provider;
credentials = phaseResult.credentials;
} else {
// Fallback to defaults
const resolved = resolvePhaseModel(DEFAULT_PHASE_MODELS.suggestionsModel);
model = resolved.model;
thinkingLevel = resolved.thinkingLevel;
}
logger.info(
'[Suggestions] Using model:',
model,
provider ? `via provider: ${provider.name}` : 'direct API'
);
let responseText = '';
// Determine if we should use structured output (Claude supports it, Cursor doesn't)
const useStructuredOutput = !isCursorModel(model);
// Build the final prompt - for Cursor, include JSON schema instructions
let finalPrompt = prompt;
if (!useStructuredOutput) {
finalPrompt = `${prompt}
CRITICAL INSTRUCTIONS:
1. DO NOT write any files. Return the JSON in your response only.
2. After analyzing the project, respond with ONLY a JSON object - no explanations, no markdown, just raw JSON.
3. The JSON must match this exact schema:
${JSON.stringify(suggestionsSchema, null, 2)}
Your entire response should be valid JSON starting with { and ending with }. No text before or after.`;
}
// Use streamingQuery with event callbacks
const result = await streamingQuery({
prompt: finalPrompt,
model,
cwd: projectPath,
maxTurns: 250,
allowedTools: ['Read', 'Glob', 'Grep'],
abortController,
thinkingLevel,
readOnly: true, // Suggestions only reads code, doesn't write
settingSources: autoLoadClaudeMd ? ['user', 'project', 'local'] : undefined,
claudeCompatibleProvider: provider, // Pass provider for alternative endpoint configuration
credentials, // Pass credentials for resolving 'credentials' apiKeySource
outputFormat: useStructuredOutput
? {
type: 'json_schema',
schema: suggestionsSchema,
}
: undefined,
onText: (text) => {
responseText += text;
events.emit('suggestions:event', {
type: 'suggestions_progress',
content: text,
});
},
onToolUse: (tool, input) => {
events.emit('suggestions:event', {
type: 'suggestions_tool',
tool,
input,
});
},
});
// Use structured output if available, otherwise fall back to parsing text
try {
let structuredOutput: { suggestions: Array<Record<string, unknown>> } | null = null;
if (result.structured_output) {
structuredOutput = result.structured_output as {
suggestions: Array<Record<string, unknown>>;
};
logger.debug('Received structured output:', structuredOutput);
} else if (responseText) {
// Fallback: try to parse from text using shared extraction utility
logger.warn('No structured output received, attempting to parse from text');
structuredOutput = extractJsonWithArray<{ suggestions: Array<Record<string, unknown>> }>(
responseText,
'suggestions',
{ logger }
);
}
if (structuredOutput && structuredOutput.suggestions) {
// Use structured output directly
events.emit('suggestions:event', {
type: 'suggestions_complete',
suggestions: structuredOutput.suggestions.map((s: Record<string, unknown>, i: number) => ({
...s,
id: s.id || `suggestion-${Date.now()}-${i}`,
})),
});
} else {
throw new Error('No valid JSON found in response');
}
} catch (error) {
// Log the parsing error for debugging
logger.error('Failed to parse suggestions JSON from AI response:', error);
// Return generic suggestions if parsing fails
events.emit('suggestions:event', {
type: 'suggestions_complete',
suggestions: [
{
id: `suggestion-${Date.now()}-0`,
category: 'Analysis',
description: 'Review the AI analysis output for insights',
priority: 1,
reasoning: 'The AI provided analysis but suggestions need manual review',
},
],
});
}
}

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@@ -1,28 +0,0 @@
/**
* Suggestions routes - HTTP API for AI-powered feature suggestions
*/
import { Router } from 'express';
import type { EventEmitter } from '../../lib/events.js';
import { validatePathParams } from '../../middleware/validate-paths.js';
import { createGenerateHandler } from './routes/generate.js';
import { createStopHandler } from './routes/stop.js';
import { createStatusHandler } from './routes/status.js';
import type { SettingsService } from '../../services/settings-service.js';
export function createSuggestionsRoutes(
events: EventEmitter,
settingsService?: SettingsService
): Router {
const router = Router();
router.post(
'/generate',
validatePathParams('projectPath'),
createGenerateHandler(events, settingsService)
);
router.post('/stop', createStopHandler());
router.get('/status', createStatusHandler());
return router;
}

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@@ -1,75 +0,0 @@
/**
* POST /generate endpoint - Generate suggestions
*/
import type { Request, Response } from 'express';
import type { EventEmitter } from '../../../lib/events.js';
import { createLogger } from '@automaker/utils';
import type { ThinkingLevel } from '@automaker/types';
import { getSuggestionsStatus, setRunningState, getErrorMessage, logError } from '../common.js';
import { generateSuggestions } from '../generate-suggestions.js';
import type { SettingsService } from '../../../services/settings-service.js';
const logger = createLogger('Suggestions');
export function createGenerateHandler(events: EventEmitter, settingsService?: SettingsService) {
return async (req: Request, res: Response): Promise<void> => {
try {
const {
projectPath,
suggestionType = 'features',
model,
thinkingLevel,
} = req.body as {
projectPath: string;
suggestionType?: string;
model?: string;
thinkingLevel?: ThinkingLevel;
};
if (!projectPath) {
res.status(400).json({ success: false, error: 'projectPath required' });
return;
}
const { isRunning } = getSuggestionsStatus();
if (isRunning) {
res.json({
success: false,
error: 'Suggestions generation is already running',
});
return;
}
setRunningState(true);
const abortController = new AbortController();
setRunningState(true, abortController);
// Start generation in background
generateSuggestions(
projectPath,
suggestionType,
events,
abortController,
settingsService,
model,
thinkingLevel
)
.catch((error) => {
logError(error, 'Generate suggestions failed (background)');
events.emit('suggestions:event', {
type: 'suggestions_error',
error: getErrorMessage(error),
});
})
.finally(() => {
setRunningState(false, null);
});
res.json({ success: true });
} catch (error) {
logError(error, 'Generate suggestions failed');
res.status(500).json({ success: false, error: getErrorMessage(error) });
}
};
}

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@@ -1,18 +0,0 @@
/**
* GET /status endpoint - Get status
*/
import type { Request, Response } from 'express';
import { getSuggestionsStatus, getErrorMessage, logError } from '../common.js';
export function createStatusHandler() {
return async (_req: Request, res: Response): Promise<void> => {
try {
const { isRunning } = getSuggestionsStatus();
res.json({ success: true, isRunning });
} catch (error) {
logError(error, 'Get status failed');
res.status(500).json({ success: false, error: getErrorMessage(error) });
}
};
}

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@@ -1,22 +0,0 @@
/**
* POST /stop endpoint - Stop suggestions generation
*/
import type { Request, Response } from 'express';
import { getSuggestionsStatus, setRunningState, getErrorMessage, logError } from '../common.js';
export function createStopHandler() {
return async (_req: Request, res: Response): Promise<void> => {
try {
const { currentAbortController } = getSuggestionsStatus();
if (currentAbortController) {
currentAbortController.abort();
}
setRunningState(false, null);
res.json({ success: true });
} catch (error) {
logError(error, 'Stop suggestions failed');
res.status(500).json({ success: false, error: getErrorMessage(error) });
}
};
}

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@@ -39,9 +39,13 @@ import { ProviderFactory } from '../providers/provider-factory.js';
import type { SettingsService } from './settings-service.js';
import type { FeatureLoader } from './feature-loader.js';
import { createChatOptions, validateWorkingDirectory } from '../lib/sdk-options.js';
import { resolveModelString } from '@automaker/model-resolver';
import { resolveModelString, resolvePhaseModel } from '@automaker/model-resolver';
import { stripProviderPrefix } from '@automaker/types';
import { getPromptCustomization, getProviderByModelId } from '../lib/settings-helpers.js';
import {
getPromptCustomization,
getProviderByModelId,
getPhaseModelWithOverrides,
} from '../lib/settings-helpers.js';
const logger = createLogger('IdeationService');
@@ -684,8 +688,24 @@ export class IdeationService {
existingWorkContext
);
// Resolve model alias to canonical identifier (with prefix)
const modelId = resolveModelString('sonnet');
// Get model from phase settings with provider info (ideationModel)
const phaseResult = await getPhaseModelWithOverrides(
'ideationModel',
this.settingsService,
projectPath,
'[IdeationService]'
);
const resolved = resolvePhaseModel(phaseResult.phaseModel);
// resolvePhaseModel already resolves model aliases internally - no need to call resolveModelString again
const modelId = resolved.model;
const claudeCompatibleProvider = phaseResult.provider;
const credentials = phaseResult.credentials;
logger.info(
'generateSuggestions using model:',
modelId,
claudeCompatibleProvider ? `via provider: ${claudeCompatibleProvider.name}` : 'direct API'
);
// Create SDK options
const sdkOptions = createChatOptions({
@@ -700,9 +720,6 @@ export class IdeationService {
// Strip provider prefix - providers need bare model IDs
const bareModel = stripProviderPrefix(modelId);
// Get credentials for API calls (uses hardcoded model, no phase setting)
const credentials = await this.settingsService?.getCredentials();
const executeOptions: ExecuteOptions = {
prompt: prompt.prompt,
model: bareModel,
@@ -713,6 +730,8 @@ export class IdeationService {
// Disable all tools - we just want text generation, not codebase analysis
allowedTools: [],
abortController: new AbortController(),
readOnly: true, // Suggestions only need to return JSON, never write files
claudeCompatibleProvider, // Pass provider for alternative endpoint configuration
credentials, // Pass credentials for resolving 'credentials' apiKeySource
};

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@@ -58,7 +58,7 @@ const E2E_SETTINGS = {
featureGenerationModel: { model: 'sonnet' },
backlogPlanningModel: { model: 'sonnet' },
projectAnalysisModel: { model: 'sonnet' },
suggestionsModel: { model: 'sonnet' },
ideationModel: { model: 'sonnet' },
},
enhancementModel: 'sonnet',
validationModel: 'opus',

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@@ -11,7 +11,6 @@ import { useIdeationStore } from '@/store/ideation-store';
import { useAppStore } from '@/store/app-store';
import { useGenerateIdeationSuggestions } from '@/hooks/mutations';
import { toast } from 'sonner';
import { useNavigate } from '@tanstack/react-router';
import type { IdeaCategory, IdeationPrompt } from '@automaker/types';
interface PromptListProps {
@@ -24,10 +23,8 @@ export function PromptList({ category, onBack }: PromptListProps) {
const generationJobs = useIdeationStore((s) => s.generationJobs);
const setMode = useIdeationStore((s) => s.setMode);
const addGenerationJob = useIdeationStore((s) => s.addGenerationJob);
const updateJobStatus = useIdeationStore((s) => s.updateJobStatus);
const [loadingPromptId, setLoadingPromptId] = useState<string | null>(null);
const [startedPrompts, setStartedPrompts] = useState<Set<string>>(new Set());
const navigate = useNavigate();
// React Query mutation
const generateMutation = useGenerateIdeationSuggestions(currentProject?.path ?? '');
@@ -72,27 +69,13 @@ export function PromptList({ category, onBack }: PromptListProps) {
toast.info(`Generating ideas for "${prompt.title}"...`);
setMode('dashboard');
// Start mutation - onSuccess/onError are handled at the hook level to ensure
// they fire even after this component unmounts (which happens due to setMode above)
generateMutation.mutate(
{ promptId: prompt.id, category },
{ promptId: prompt.id, category, jobId, promptTitle: prompt.title },
{
onSuccess: (data) => {
updateJobStatus(jobId, 'ready', data.suggestions);
toast.success(`Generated ${data.suggestions.length} ideas for "${prompt.title}"`, {
duration: 10000,
action: {
label: 'View Ideas',
onClick: () => {
setMode('dashboard');
navigate({ to: '/ideation' });
},
},
});
setLoadingPromptId(null);
},
onError: (error) => {
console.error('Failed to generate suggestions:', error);
updateJobStatus(jobId, 'error', undefined, error.message);
toast.error(error.message);
// Optional: reset local loading state if component is still mounted
onSettled: () => {
setLoadingPromptId(null);
},
}

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@@ -44,7 +44,7 @@ const PHASE_LABELS: Record<PhaseModelKey, string> = {
featureGenerationModel: 'Feature Generation',
backlogPlanningModel: 'Backlog Planning',
projectAnalysisModel: 'Project Analysis',
suggestionsModel: 'AI Suggestions',
ideationModel: 'Ideation',
memoryExtractionModel: 'Memory Extraction',
};

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@@ -72,9 +72,9 @@ const GENERATION_TASKS: PhaseConfig[] = [
description: 'Analyzes project structure for suggestions',
},
{
key: 'suggestionsModel',
label: 'AI Suggestions',
description: 'Model for feature, refactoring, security, and performance suggestions',
key: 'ideationModel',
label: 'Ideation',
description: 'Model for ideation view (generating AI suggestions)',
},
];

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@@ -42,7 +42,7 @@ const PHASE_LABELS: Record<PhaseModelKey, string> = {
featureGenerationModel: 'Feature Generation',
backlogPlanningModel: 'Backlog Planning',
projectAnalysisModel: 'Project Analysis',
suggestionsModel: 'AI Suggestions',
ideationModel: 'Ideation',
memoryExtractionModel: 'Memory Extraction',
};

View File

@@ -67,9 +67,9 @@ const GENERATION_TASKS: PhaseConfig[] = [
description: 'Analyzes project structure for suggestions',
},
{
key: 'suggestionsModel',
label: 'AI Suggestions',
description: 'Model for feature, refactoring, security, and performance suggestions',
key: 'ideationModel',
label: 'Ideation',
description: 'Model for ideation view (generating AI suggestions)',
},
];

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@@ -8,7 +8,8 @@ import { useMutation, useQueryClient } from '@tanstack/react-query';
import { getElectronAPI } from '@/lib/electron';
import { queryKeys } from '@/lib/query-keys';
import { toast } from 'sonner';
import type { IdeaCategory, IdeaSuggestion } from '@automaker/types';
import type { IdeaCategory, AnalysisSuggestion } from '@automaker/types';
import { useIdeationStore } from '@/store/ideation-store';
/**
* Input for generating ideation suggestions
@@ -16,15 +17,23 @@ import type { IdeaCategory, IdeaSuggestion } from '@automaker/types';
interface GenerateSuggestionsInput {
promptId: string;
category: IdeaCategory;
/** Job ID for tracking generation progress - used to update job status on completion */
jobId: string;
/** Prompt title for toast notifications */
promptTitle: string;
}
/**
* Result from generating suggestions
*/
interface GenerateSuggestionsResult {
suggestions: IdeaSuggestion[];
suggestions: AnalysisSuggestion[];
promptId: string;
category: IdeaCategory;
/** Job ID passed through for onSuccess handler */
jobId: string;
/** Prompt title passed through for toast notifications */
promptTitle: string;
}
/**
@@ -52,7 +61,7 @@ export function useGenerateIdeationSuggestions(projectPath: string) {
return useMutation({
mutationFn: async (input: GenerateSuggestionsInput): Promise<GenerateSuggestionsResult> => {
const { promptId, category } = input;
const { promptId, category, jobId, promptTitle } = input;
const api = getElectronAPI();
if (!api.ideation?.generateSuggestions) {
@@ -69,14 +78,33 @@ export function useGenerateIdeationSuggestions(projectPath: string) {
suggestions: result.suggestions ?? [],
promptId,
category,
jobId,
promptTitle,
};
},
onSuccess: () => {
onSuccess: (data) => {
// Update job status in Zustand store - this runs even if the component unmounts
// Using getState() to access store directly without hooks (safe in callbacks)
const updateJobStatus = useIdeationStore.getState().updateJobStatus;
updateJobStatus(data.jobId, 'ready', data.suggestions);
// Show success toast
toast.success(`Generated ${data.suggestions.length} ideas for "${data.promptTitle}"`, {
duration: 10000,
});
// Invalidate ideation ideas cache
queryClient.invalidateQueries({
queryKey: queryKeys.ideation.ideas(projectPath),
});
},
// Toast notifications are handled by the component since it has access to prompt title
onError: (error, variables) => {
// Update job status to error - this runs even if the component unmounts
const updateJobStatus = useIdeationStore.getState().updateJobStatus;
updateJobStatus(variables.jobId, 'error', undefined, error.message);
// Show error toast
toast.error(`Failed to generate ideas: ${error.message}`);
},
});
}

View File

@@ -596,7 +596,7 @@ export async function refreshSettingsFromServer(): Promise<boolean> {
projectAnalysisModel: migratePhaseModelEntry(
serverSettings.phaseModels.projectAnalysisModel
),
suggestionsModel: migratePhaseModelEntry(serverSettings.phaseModels.suggestionsModel),
ideationModel: migratePhaseModelEntry(serverSettings.phaseModels.ideationModel),
memoryExtractionModel: migratePhaseModelEntry(
serverSettings.phaseModels.memoryExtractionModel
),

View File

@@ -370,40 +370,6 @@ export interface GitHubAPI {
}>;
}
// Feature Suggestions types
export interface FeatureSuggestion {
id: string;
category: string;
description: string;
priority: number;
reasoning: string;
}
export interface SuggestionsEvent {
type: 'suggestions_progress' | 'suggestions_tool' | 'suggestions_complete' | 'suggestions_error';
content?: string;
tool?: string;
input?: unknown;
suggestions?: FeatureSuggestion[];
error?: string;
}
export type SuggestionType = 'features' | 'refactoring' | 'security' | 'performance';
export interface SuggestionsAPI {
generate: (
projectPath: string,
suggestionType?: SuggestionType
) => Promise<{ success: boolean; error?: string }>;
stop: () => Promise<{ success: boolean; error?: string }>;
status: () => Promise<{
success: boolean;
isRunning?: boolean;
error?: string;
}>;
onEvent: (callback: (event: SuggestionsEvent) => void) => () => void;
}
// Spec Regeneration types
export type SpecRegenerationEvent =
| { type: 'spec_regeneration_progress'; content: string; projectPath: string }
@@ -702,7 +668,6 @@ export interface ElectronAPI {
};
worktree?: WorktreeAPI;
git?: GitAPI;
suggestions?: SuggestionsAPI;
specRegeneration?: SpecRegenerationAPI;
autoMode?: AutoModeAPI;
features?: FeaturesAPI;
@@ -1333,9 +1298,6 @@ const getMockElectronAPI = (): ElectronAPI => {
// Mock Git API (for non-worktree operations)
git: createMockGitAPI(),
// Mock Suggestions API
suggestions: createMockSuggestionsAPI(),
// Mock Spec Regeneration API
specRegeneration: createMockSpecRegenerationAPI(),
@@ -2605,226 +2567,6 @@ function delay(ms: number, featureId: string): Promise<void> {
});
}
// Mock Suggestions state and implementation
let mockSuggestionsRunning = false;
let mockSuggestionsCallbacks: ((event: SuggestionsEvent) => void)[] = [];
let mockSuggestionsTimeout: NodeJS.Timeout | null = null;
function createMockSuggestionsAPI(): SuggestionsAPI {
return {
generate: async (projectPath: string, suggestionType: SuggestionType = 'features') => {
if (mockSuggestionsRunning) {
return {
success: false,
error: 'Suggestions generation is already running',
};
}
mockSuggestionsRunning = true;
console.log(`[Mock] Generating ${suggestionType} suggestions for: ${projectPath}`);
// Simulate async suggestion generation
simulateSuggestionsGeneration(suggestionType);
return { success: true };
},
stop: async () => {
mockSuggestionsRunning = false;
if (mockSuggestionsTimeout) {
clearTimeout(mockSuggestionsTimeout);
mockSuggestionsTimeout = null;
}
return { success: true };
},
status: async () => {
return {
success: true,
isRunning: mockSuggestionsRunning,
};
},
onEvent: (callback: (event: SuggestionsEvent) => void) => {
mockSuggestionsCallbacks.push(callback);
return () => {
mockSuggestionsCallbacks = mockSuggestionsCallbacks.filter((cb) => cb !== callback);
};
},
};
}
function emitSuggestionsEvent(event: SuggestionsEvent) {
mockSuggestionsCallbacks.forEach((cb) => cb(event));
}
async function simulateSuggestionsGeneration(suggestionType: SuggestionType = 'features') {
const typeLabels: Record<SuggestionType, string> = {
features: 'feature suggestions',
refactoring: 'refactoring opportunities',
security: 'security vulnerabilities',
performance: 'performance issues',
};
// Emit progress events
emitSuggestionsEvent({
type: 'suggestions_progress',
content: `Starting project analysis for ${typeLabels[suggestionType]}...\n`,
});
await new Promise((resolve) => {
mockSuggestionsTimeout = setTimeout(resolve, 500);
});
if (!mockSuggestionsRunning) return;
emitSuggestionsEvent({
type: 'suggestions_tool',
tool: 'Glob',
input: { pattern: '**/*.{ts,tsx,js,jsx}' },
});
await new Promise((resolve) => {
mockSuggestionsTimeout = setTimeout(resolve, 500);
});
if (!mockSuggestionsRunning) return;
emitSuggestionsEvent({
type: 'suggestions_progress',
content: 'Analyzing codebase structure...\n',
});
await new Promise((resolve) => {
mockSuggestionsTimeout = setTimeout(resolve, 500);
});
if (!mockSuggestionsRunning) return;
emitSuggestionsEvent({
type: 'suggestions_progress',
content: `Identifying ${typeLabels[suggestionType]}...\n`,
});
await new Promise((resolve) => {
mockSuggestionsTimeout = setTimeout(resolve, 500);
});
if (!mockSuggestionsRunning) return;
// Generate mock suggestions based on type
let mockSuggestions: FeatureSuggestion[];
switch (suggestionType) {
case 'refactoring':
mockSuggestions = [
{
id: `suggestion-${Date.now()}-0`,
category: 'Code Smell',
description: 'Extract duplicate validation logic into reusable utility',
priority: 1,
reasoning: 'Reduces code duplication and improves maintainability',
},
{
id: `suggestion-${Date.now()}-1`,
category: 'Complexity',
description: 'Break down large handleSubmit function into smaller functions',
priority: 2,
reasoning: 'Function is too long and handles multiple responsibilities',
},
{
id: `suggestion-${Date.now()}-2`,
category: 'Architecture',
description: 'Move business logic out of React components into hooks',
priority: 3,
reasoning: 'Improves separation of concerns and testability',
},
];
break;
case 'security':
mockSuggestions = [
{
id: `suggestion-${Date.now()}-0`,
category: 'High',
description: 'Sanitize user input before rendering to prevent XSS',
priority: 1,
reasoning: 'User input is rendered without proper sanitization',
},
{
id: `suggestion-${Date.now()}-1`,
category: 'Medium',
description: 'Add rate limiting to authentication endpoints',
priority: 2,
reasoning: 'Prevents brute force attacks on authentication',
},
{
id: `suggestion-${Date.now()}-2`,
category: 'Low',
description: 'Remove sensitive information from error messages',
priority: 3,
reasoning: 'Error messages may leak implementation details',
},
];
break;
case 'performance':
mockSuggestions = [
{
id: `suggestion-${Date.now()}-0`,
category: 'Rendering',
description: 'Add React.memo to prevent unnecessary re-renders',
priority: 1,
reasoning: "Components re-render even when props haven't changed",
},
{
id: `suggestion-${Date.now()}-1`,
category: 'Bundle Size',
description: 'Implement code splitting for route components',
priority: 2,
reasoning: 'Initial bundle is larger than necessary',
},
{
id: `suggestion-${Date.now()}-2`,
category: 'Caching',
description: 'Add memoization for expensive computations',
priority: 3,
reasoning: 'Expensive computations run on every render',
},
];
break;
default: // "features"
mockSuggestions = [
{
id: `suggestion-${Date.now()}-0`,
category: 'User Experience',
description: 'Add dark mode toggle with system preference detection',
priority: 1,
reasoning: 'Dark mode is a standard feature that improves accessibility and user comfort',
},
{
id: `suggestion-${Date.now()}-1`,
category: 'Performance',
description: 'Implement lazy loading for heavy components',
priority: 2,
reasoning: 'Improves initial load time and reduces bundle size',
},
{
id: `suggestion-${Date.now()}-2`,
category: 'Accessibility',
description: 'Add keyboard navigation support throughout the app',
priority: 3,
reasoning: 'Improves accessibility for users who rely on keyboard navigation',
},
];
}
emitSuggestionsEvent({
type: 'suggestions_complete',
suggestions: mockSuggestions,
});
mockSuggestionsRunning = false;
mockSuggestionsTimeout = null;
}
// Mock Spec Regeneration state and implementation
let mockSpecRegenerationRunning = false;
let mockSpecRegenerationPhase = '';

View File

@@ -16,12 +16,9 @@ import type {
SaveImageResult,
AutoModeAPI,
FeaturesAPI,
SuggestionsAPI,
SpecRegenerationAPI,
AutoModeEvent,
SuggestionsEvent,
SpecRegenerationEvent,
SuggestionType,
GitHubAPI,
IssueValidationInput,
IssueValidationEvent,
@@ -550,7 +547,6 @@ export const checkSandboxEnvironment = async (): Promise<{
type EventType =
| 'agent:stream'
| 'auto-mode:event'
| 'suggestions:event'
| 'spec-regeneration:event'
| 'issue-validation:event'
| 'backlog-plan:event'
@@ -1983,22 +1979,6 @@ export class HttpApiClient implements ElectronAPI {
this.post('/api/git/file-diff', { projectPath, filePath }),
};
// Suggestions API
suggestions: SuggestionsAPI = {
generate: (
projectPath: string,
suggestionType?: SuggestionType,
model?: string,
thinkingLevel?: string
) =>
this.post('/api/suggestions/generate', { projectPath, suggestionType, model, thinkingLevel }),
stop: () => this.post('/api/suggestions/stop'),
status: () => this.get('/api/suggestions/status'),
onEvent: (callback: (event: SuggestionsEvent) => void) => {
return this.subscribeToEvent('suggestions:event', callback as EventCallback);
},
};
// Spec Regeneration API
specRegeneration: SpecRegenerationAPI = {
create: (