mirror of
https://github.com/AutoMaker-Org/automaker.git
synced 2026-02-03 21:03:08 +00:00
Merge main into massive-terminal-upgrade
Resolves merge conflicts: - apps/server/src/routes/terminal/common.ts: Keep randomBytes import, use @automaker/utils for createLogger - apps/ui/eslint.config.mjs: Use main's explicit globals list with XMLHttpRequest and MediaQueryListEvent additions - apps/ui/src/components/views/terminal-view.tsx: Keep our terminal improvements (killAllSessions, beforeunload, better error handling) - apps/ui/src/config/terminal-themes.ts: Keep our search highlight colors for all themes - apps/ui/src/store/app-store.ts: Keep our terminal settings persistence improvements (merge function) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
SuperComboGamer
@@ -2,43 +2,43 @@
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* Business logic for generating suggestions
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*/
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import { query } from "@anthropic-ai/claude-agent-sdk";
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import type { EventEmitter } from "../../lib/events.js";
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import { createLogger } from "../../lib/logger.js";
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import { createSuggestionsOptions } from "../../lib/sdk-options.js";
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import { query } from '@anthropic-ai/claude-agent-sdk';
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import type { EventEmitter } from '../../lib/events.js';
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import { createLogger } from '@automaker/utils';
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import { createSuggestionsOptions } from '../../lib/sdk-options.js';
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const logger = createLogger("Suggestions");
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const logger = createLogger('Suggestions');
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/**
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* JSON Schema for suggestions output
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*/
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const suggestionsSchema = {
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type: "object",
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type: 'object',
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properties: {
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suggestions: {
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type: "array",
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type: 'array',
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items: {
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type: "object",
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type: 'object',
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properties: {
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id: { type: "string" },
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category: { type: "string" },
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description: { type: "string" },
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id: { type: 'string' },
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category: { type: 'string' },
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description: { type: 'string' },
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steps: {
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type: "array",
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items: { type: "string" },
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type: 'array',
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items: { type: 'string' },
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},
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priority: {
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type: "number",
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priority: {
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type: 'number',
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minimum: 1,
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maximum: 3,
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},
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reasoning: { type: "string" },
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reasoning: { type: 'string' },
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},
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required: ["category", "description", "steps", "priority", "reasoning"],
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required: ['category', 'description', 'steps', 'priority', 'reasoning'],
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},
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},
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},
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required: ["suggestions"],
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required: ['suggestions'],
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additionalProperties: false,
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};
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@@ -49,13 +49,10 @@ export async function generateSuggestions(
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abortController: AbortController
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): Promise<void> {
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const typePrompts: Record<string, string> = {
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features:
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"Analyze this project and suggest new features that would add value.",
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refactoring: "Analyze this project and identify refactoring opportunities.",
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security:
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"Analyze this project for security vulnerabilities and suggest fixes.",
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performance:
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"Analyze this project for performance issues and suggest optimizations.",
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features: 'Analyze this project and suggest new features that would add value.',
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refactoring: 'Analyze this project and identify refactoring opportunities.',
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security: 'Analyze this project for security vulnerabilities and suggest fixes.',
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performance: 'Analyze this project for performance issues and suggest optimizations.',
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};
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const prompt = `${typePrompts[suggestionType] || typePrompts.features}
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@@ -71,8 +68,8 @@ For each suggestion, provide:
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The response will be automatically formatted as structured JSON.`;
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events.emit("suggestions:event", {
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type: "suggestions_progress",
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events.emit('suggestions:event', {
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type: 'suggestions_progress',
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content: `Starting ${suggestionType} analysis...\n`,
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});
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@@ -80,48 +77,48 @@ The response will be automatically formatted as structured JSON.`;
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cwd: projectPath,
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abortController,
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outputFormat: {
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type: "json_schema",
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type: 'json_schema',
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schema: suggestionsSchema,
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},
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});
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const stream = query({ prompt, options });
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let responseText = "";
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let responseText = '';
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let structuredOutput: { suggestions: Array<Record<string, unknown>> } | null = null;
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for await (const msg of stream) {
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if (msg.type === "assistant" && msg.message.content) {
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if (msg.type === 'assistant' && msg.message.content) {
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for (const block of msg.message.content) {
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if (block.type === "text") {
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if (block.type === 'text') {
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responseText += block.text;
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events.emit("suggestions:event", {
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type: "suggestions_progress",
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events.emit('suggestions:event', {
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type: 'suggestions_progress',
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content: block.text,
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});
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} else if (block.type === "tool_use") {
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events.emit("suggestions:event", {
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type: "suggestions_tool",
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} else if (block.type === 'tool_use') {
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events.emit('suggestions:event', {
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type: 'suggestions_tool',
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tool: block.name,
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input: block.input,
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});
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}
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}
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} else if (msg.type === "result" && msg.subtype === "success") {
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} else if (msg.type === 'result' && msg.subtype === 'success') {
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// Check for structured output
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const resultMsg = msg as any;
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if (resultMsg.structured_output) {
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structuredOutput = resultMsg.structured_output as {
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suggestions: Array<Record<string, unknown>>;
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};
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logger.debug("Received structured output:", structuredOutput);
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logger.debug('Received structured output:', structuredOutput);
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}
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} else if (msg.type === "result") {
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} else if (msg.type === 'result') {
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const resultMsg = msg as any;
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if (resultMsg.subtype === "error_max_structured_output_retries") {
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logger.error("Failed to produce valid structured output after retries");
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throw new Error("Could not produce valid suggestions output");
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} else if (resultMsg.subtype === "error_max_turns") {
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logger.error("Hit max turns limit before completing suggestions generation");
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if (resultMsg.subtype === 'error_max_structured_output_retries') {
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logger.error('Failed to produce valid structured output after retries');
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throw new Error('Could not produce valid suggestions output');
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} else if (resultMsg.subtype === 'error_max_turns') {
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logger.error('Hit max turns limit before completing suggestions generation');
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logger.warn(`Response text length: ${responseText.length} chars`);
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// Still try to parse what we have
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}
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@@ -132,49 +129,44 @@ The response will be automatically formatted as structured JSON.`;
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try {
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if (structuredOutput && structuredOutput.suggestions) {
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// Use structured output directly
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events.emit("suggestions:event", {
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type: "suggestions_complete",
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suggestions: structuredOutput.suggestions.map(
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(s: Record<string, unknown>, i: number) => ({
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...s,
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id: s.id || `suggestion-${Date.now()}-${i}`,
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})
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),
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events.emit('suggestions:event', {
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type: 'suggestions_complete',
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suggestions: structuredOutput.suggestions.map((s: Record<string, unknown>, i: number) => ({
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...s,
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id: s.id || `suggestion-${Date.now()}-${i}`,
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})),
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});
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} else {
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// Fallback: try to parse from text (for backwards compatibility)
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logger.warn("No structured output received, attempting to parse from text");
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logger.warn('No structured output received, attempting to parse from text');
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const jsonMatch = responseText.match(/\{[\s\S]*"suggestions"[\s\S]*\}/);
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if (jsonMatch) {
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const parsed = JSON.parse(jsonMatch[0]);
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events.emit("suggestions:event", {
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type: "suggestions_complete",
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suggestions: parsed.suggestions.map(
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(s: Record<string, unknown>, i: number) => ({
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...s,
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id: s.id || `suggestion-${Date.now()}-${i}`,
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})
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),
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events.emit('suggestions:event', {
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type: 'suggestions_complete',
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suggestions: parsed.suggestions.map((s: Record<string, unknown>, i: number) => ({
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...s,
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id: s.id || `suggestion-${Date.now()}-${i}`,
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})),
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});
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} else {
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throw new Error("No valid JSON found in response");
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throw new Error('No valid JSON found in response');
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}
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}
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} catch (error) {
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// Log the parsing error for debugging
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logger.error("Failed to parse suggestions JSON from AI response:", error);
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logger.error('Failed to parse suggestions JSON from AI response:', error);
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// Return generic suggestions if parsing fails
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events.emit("suggestions:event", {
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type: "suggestions_complete",
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events.emit('suggestions:event', {
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type: 'suggestions_complete',
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suggestions: [
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{
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id: `suggestion-${Date.now()}-0`,
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category: "Analysis",
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description: "Review the AI analysis output for insights",
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steps: ["Review the generated analysis"],
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category: 'Analysis',
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description: 'Review the AI analysis output for insights',
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steps: ['Review the generated analysis'],
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priority: 1,
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reasoning:
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"The AI provided analysis but suggestions need manual review",
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reasoning: 'The AI provided analysis but suggestions need manual review',
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},
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],
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});
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