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Complete overhaul for app spec system. Created logic to auto generate kanban stories after the fact as well as added logging logic and visual aids to tell what stage of the process the app spec creation is in. May need refinement for state-based updates as the menu doesnt update as dynamicly as id like

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This commit is contained in:
trueheads
2025-12-11 03:01:45 -06:00
parent acae5526b7
commit c198c10244
11 changed files with 1508 additions and 137 deletions
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82
app/electron/services/feature-loader.js
View File

@@ -170,14 +170,53 @@ class FeatureLoader {
const featureJsonPath = this.getFeatureJsonPath(projectPath, featureId);
try {
// Check if feature.json exists before trying to read it
try {
await fs.access(featureJsonPath);
} catch (accessError) {
// File doesn't exist - this is expected for incomplete feature directories
// Skip silently or log at debug level only
if (accessError.code !== "ENOENT") {
console.warn(
`[FeatureLoader] Cannot access feature.json for ${featureId}:`,
accessError.message
);
}
// Skip this directory - it doesn't have a valid feature.json
continue;
}
const content = await fs.readFile(featureJsonPath, "utf-8");
const feature = JSON.parse(content);
// Validate that the feature has required fields
if (!feature.id) {
console.warn(
`[FeatureLoader] Feature ${featureId} missing required 'id' field, skipping`
);
continue;
}
features.push(feature);
} catch (error) {
console.error(
`[FeatureLoader] Failed to load feature ${featureId}:`,
error
);
// Handle different error types appropriately
if (error.code === "ENOENT") {
// File was deleted between access check and read - skip silently
console.debug(
`[FeatureLoader] Feature ${featureId} was removed, skipping`
);
} else if (error instanceof SyntaxError) {
// JSON parse error - log as warning since file exists but is malformed
console.warn(
`[FeatureLoader] Failed to parse feature.json for ${featureId}: ${error.message}`
);
} else {
// Other errors - log as error
console.error(
`[FeatureLoader] Failed to load feature ${featureId}:`,
error.message || error
);
}
// Continue loading other features
}
}
@@ -339,6 +378,7 @@ class FeatureLoader {
/**
* Update feature status (legacy API)
* Features are stored in .automaker/features/{id}/feature.json
* Creates the feature if it doesn't exist.
* @param {string} featureId - The ID of the feature to update
* @param {string} status - The new status
* @param {string} projectPath - Path to the project
@@ -346,16 +386,46 @@ class FeatureLoader {
* @param {string} [error] - Optional error message if feature errored
*/
async updateFeatureStatus(featureId, status, projectPath, summary, error) {
// Check if feature exists
const existingFeature = await this.get(projectPath, featureId);
if (!existingFeature) {
// Feature doesn't exist - create it
console.log(`[FeatureLoader] Feature ${featureId} not found - creating new feature`);
const newFeature = {
id: featureId,
title: featureId.split('-').map(word => word.charAt(0).toUpperCase() + word.slice(1)).join(' '),
description: summary || '', // Use summary as description for display
status: status,
summary: summary || '',
createdAt: new Date().toISOString(),
};
if (error !== undefined) {
newFeature.error = error;
}
await this.create(projectPath, newFeature);
console.log(
`[FeatureLoader] Created feature ${featureId}: status=${status}${
summary ? `, summary="${summary}"` : ""
}`
);
return;
}
// Feature exists - update it
const updates = { status };
if (summary !== undefined) {
updates.summary = summary;
// Also update description if it's empty or not set
if (!existingFeature.description) {
updates.description = summary;
}
}
if (error !== undefined) {
updates.error = error;
} else {
// Clear error if not provided
const feature = await this.get(projectPath, featureId);
if (feature && feature.error) {
if (existingFeature.error) {
updates.error = undefined;
}
}

9
app/electron/services/mcp-server-factory.js
View File

@@ -28,18 +28,20 @@ class McpServerFactory {
async (args) => {
try {
console.log(`[McpServerFactory] UpdateFeatureStatus tool called: featureId=${args.featureId}, status=${args.status}, summary=${args.summary || "(none)"}`);
console.log(`[Feature Creation] Creating/updating feature "${args.featureId}" with status "${args.status}"`);
// Load the feature to check skipTests flag
const features = await featureLoader.loadFeatures(projectPath);
const feature = features.find((f) => f.id === args.featureId);
if (!feature) {
throw new Error(`Feature ${args.featureId} not found`);
console.log(`[Feature Creation] Feature ${args.featureId} not found - this might be a new feature being created`);
// This might be a new feature - try to proceed anyway
}
// If agent tries to mark as verified but feature has skipTests=true, convert to waiting_approval
let finalStatus = args.status;
if (args.status === "verified" && feature.skipTests === true) {
if (feature && args.status === "verified" && feature.skipTests === true) {
console.log(`[McpServerFactory] Feature ${args.featureId} has skipTests=true, converting verified -> waiting_approval`);
finalStatus = "waiting_approval";
}
@@ -51,6 +53,8 @@ class McpServerFactory {
? `Successfully updated feature ${args.featureId} to status "${finalStatus}" (converted from "${args.status}" because skipTests=true)${args.summary ? ` with summary: "${args.summary}"` : ""}`
: `Successfully updated feature ${args.featureId} to status "${finalStatus}"${args.summary ? ` with summary: "${args.summary}"` : ""}`;
console.log(`[Feature Creation] ✓ ${statusMessage}`);
return {
content: [{
type: "text",
@@ -59,6 +63,7 @@ class McpServerFactory {
};
} catch (error) {
console.error("[McpServerFactory] UpdateFeatureStatus tool error:", error);
console.error(`[Feature Creation] ✗ Failed to create/update feature ${args.featureId}: ${error.message}`);
return {
content: [{
type: "text",

592
app/electron/services/spec-regeneration-service.js
View File

@@ -1,6 +1,8 @@
const { query, AbortError } = require("@anthropic-ai/claude-agent-sdk");
const fs = require("fs/promises");
const path = require("path");
const mcpServerFactory = require("./mcp-server-factory");
const featureLoader = require("./feature-loader");
/**
* XML template for app_spec.txt
@@ -95,18 +97,60 @@ class SpecRegenerationService {
* @param {boolean} generateFeatures - Whether to generate feature entries in features folder
*/
async createInitialSpec(projectPath, projectOverview, sendToRenderer, execution, generateFeatures = true) {
console.log(`[SpecRegeneration] Creating initial spec for: ${projectPath}, generateFeatures: ${generateFeatures}`);
const startTime = Date.now();
console.log(`[SpecRegeneration] ===== Starting initial spec creation =====`);
console.log(`[SpecRegeneration] Project path: ${projectPath}`);
console.log(`[SpecRegeneration] Generate features: ${generateFeatures}`);
console.log(`[SpecRegeneration] Project overview length: ${projectOverview.length} characters`);
try {
const abortController = new AbortController();
execution.abortController = abortController;
// Phase tracking
let currentPhase = "initialization";
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: ${currentPhase}] Initializing spec generation process...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase}`);
// Create custom MCP server with UpdateFeatureStatus tool if generating features
let featureToolsServer = null;
if (generateFeatures) {
console.log("[SpecRegeneration] Setting up feature generation tools...");
try {
featureToolsServer = mcpServerFactory.createFeatureToolsServer(
featureLoader.updateFeatureStatus.bind(featureLoader),
projectPath
);
console.log("[SpecRegeneration] Feature tools server created successfully");
} catch (error) {
console.error("[SpecRegeneration] ERROR: Failed to create feature tools server:", error);
sendToRenderer({
type: "spec_regeneration_error",
error: `Failed to initialize feature generation tools: ${error.message}`,
});
throw error;
}
}
currentPhase = "setup";
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: ${currentPhase}] Configuring AI agent and tools...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase}`);
// Phase 1: Generate spec WITHOUT UpdateFeatureStatus tool
// This prevents features from being created before the spec is complete
const options = {
model: "claude-sonnet-4-20250514",
systemPrompt: this.getInitialCreationSystemPrompt(generateFeatures),
systemPrompt: this.getInitialCreationSystemPrompt(false), // Always false - no feature tools during spec gen
maxTurns: 50,
cwd: projectPath,
allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash"],
allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash"], // No UpdateFeatureStatus during spec gen
permissionMode: "acceptEdits",
sandbox: {
enabled: true,
@@ -115,54 +159,157 @@ class SpecRegenerationService {
abortController: abortController,
};
const prompt = this.buildInitialCreationPrompt(projectOverview, generateFeatures);
const prompt = this.buildInitialCreationPrompt(projectOverview); // No feature generation during spec creation
currentPhase = "analysis";
sendToRenderer({
type: "spec_regeneration_progress",
content: "Starting project analysis and spec creation...\n",
content: `[Phase: ${currentPhase}] Starting project analysis and spec creation...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase} - Starting AI agent query`);
if (generateFeatures) {
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: ${currentPhase}] Feature generation is enabled - features will be created after spec is complete.\n`,
});
console.log("[SpecRegeneration] Feature generation enabled - will create features after spec");
}
const currentQuery = query({ prompt, options });
execution.query = currentQuery;
let fullResponse = "";
for await (const msg of currentQuery) {
if (!execution.isActive()) break;
let toolCallCount = 0;
let messageCount = 0;
try {
for await (const msg of currentQuery) {
if (!execution.isActive()) {
console.log("[SpecRegeneration] Execution aborted by user");
break;
}
if (msg.type === "assistant" && msg.message?.content) {
for (const block of msg.message.content) {
if (block.type === "text") {
fullResponse += block.text;
sendToRenderer({
type: "spec_regeneration_progress",
content: block.text,
});
} else if (block.type === "tool_use") {
sendToRenderer({
type: "spec_regeneration_tool",
tool: block.name,
input: block.input,
});
if (msg.type === "assistant" && msg.message?.content) {
messageCount++;
for (const block of msg.message.content) {
if (block.type === "text") {
fullResponse += block.text;
const preview = block.text.substring(0, 100).replace(/\n/g, " ");
console.log(`[SpecRegeneration] Agent message #${messageCount}: ${preview}...`);
sendToRenderer({
type: "spec_regeneration_progress",
content: block.text,
});
} else if (block.type === "tool_use") {
toolCallCount++;
const toolName = block.name;
console.log(`[SpecRegeneration] Tool call #${toolCallCount}: ${toolName}`);
console.log(`[SpecRegeneration] Tool input: ${JSON.stringify(block.input).substring(0, 200)}...`);
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Tool] Using ${toolName}...\n`,
});
sendToRenderer({
type: "spec_regeneration_tool",
tool: toolName,
input: block.input,
});
}
}
} else if (msg.type === "tool_result") {
const toolName = msg.toolName || "unknown";
const result = msg.content?.[0]?.text || JSON.stringify(msg.content);
const resultPreview = result.substring(0, 200).replace(/\n/g, " ");
console.log(`[SpecRegeneration] Tool result (${toolName}): ${resultPreview}...`);
// During spec generation, UpdateFeatureStatus is not available
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Tool Result] ${toolName} completed successfully\n`,
});
} else if (msg.type === "error") {
const errorMsg = msg.error?.message || JSON.stringify(msg.error);
console.error(`[SpecRegeneration] ERROR in query stream: ${errorMsg}`);
sendToRenderer({
type: "spec_regeneration_error",
error: `Error during spec generation: ${errorMsg}`,
});
}
}
} catch (streamError) {
console.error("[SpecRegeneration] ERROR in query stream:", streamError);
sendToRenderer({
type: "spec_regeneration_error",
error: `Stream error: ${streamError.message || String(streamError)}`,
});
throw streamError;
}
console.log(`[SpecRegeneration] Query completed - ${messageCount} messages, ${toolCallCount} tool calls`);
execution.query = null;
execution.abortController = null;
const elapsedTime = ((Date.now() - startTime) / 1000).toFixed(1);
currentPhase = "spec_complete";
console.log(`[SpecRegeneration] Phase: ${currentPhase} - Spec creation completed in ${elapsedTime}s`);
sendToRenderer({
type: "spec_regeneration_complete",
message: "Initial spec creation complete!",
type: "spec_regeneration_progress",
content: `\n[Phase: ${currentPhase}] ✓ App specification created successfully! (${elapsedTime}s)\n`,
});
if (generateFeatures) {
// Phase 2: Generate features AFTER spec is complete
console.log(`[SpecRegeneration] Starting Phase 2: Feature generation from app_spec.txt`);
// Send intermediate completion event for spec creation
sendToRenderer({
type: "spec_regeneration_complete",
message: "Initial spec creation complete! Features are being generated...",
});
// Now start feature generation in a separate query
try {
await this.generateFeaturesFromSpec(projectPath, sendToRenderer, execution, startTime);
console.log(`[SpecRegeneration] Feature generation completed successfully`);
} catch (featureError) {
console.error(`[SpecRegeneration] Feature generation failed:`, featureError);
sendToRenderer({
type: "spec_regeneration_error",
error: `Feature generation failed: ${featureError.message || String(featureError)}`,
});
}
} else {
currentPhase = "complete";
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: ${currentPhase}] All tasks completed!\n`,
});
// Send final completion event
sendToRenderer({
type: "spec_regeneration_complete",
message: "Initial spec creation complete!",
});
}
console.log(`[SpecRegeneration] ===== Initial spec creation finished successfully =====`);
return {
success: true,
message: "Initial spec creation complete",
};
} catch (error) {
const elapsedTime = ((Date.now() - startTime) / 1000).toFixed(1);
if (error instanceof AbortError || error?.name === "AbortError") {
console.log("[SpecRegeneration] Creation aborted");
console.log(`[SpecRegeneration] Creation aborted after ${elapsedTime}s`);
sendToRenderer({
type: "spec_regeneration_error",
error: "Spec generation was aborted by user",
});
if (execution) {
execution.abortController = null;
execution.query = null;
@@ -173,7 +320,252 @@ class SpecRegenerationService {
};
}
console.error("[SpecRegeneration] Error creating initial spec:", error);
const errorMessage = error.message || String(error);
const errorStack = error.stack || "";
console.error(`[SpecRegeneration] ERROR creating initial spec after ${elapsedTime}s:`);
console.error(`[SpecRegeneration] Error message: ${errorMessage}`);
console.error(`[SpecRegeneration] Error stack: ${errorStack}`);
sendToRenderer({
type: "spec_regeneration_error",
error: `Failed to create spec: ${errorMessage}`,
});
if (execution) {
execution.abortController = null;
execution.query = null;
}
throw error;
}
}
/**
* Generate features from the implementation roadmap in app_spec.txt
* This is called AFTER the spec has been created
*/
async generateFeaturesFromSpec(projectPath, sendToRenderer, execution, startTime) {
const featureStartTime = Date.now();
let currentPhase = "feature_generation";
console.log(`[SpecRegeneration] ===== Starting Phase 2: Feature Generation =====`);
console.log(`[SpecRegeneration] Project path: ${projectPath}`);
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Phase: ${currentPhase}] Starting feature creation from implementation roadmap...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase} - Starting feature generation query`);
try {
// Create feature tools server
const featureToolsServer = mcpServerFactory.createFeatureToolsServer(
featureLoader.updateFeatureStatus.bind(featureLoader),
projectPath
);
const abortController = new AbortController();
execution.abortController = abortController;
const options = {
model: "claude-sonnet-4-20250514",
systemPrompt: `You are a feature management assistant. Your job is to read the app_spec.txt file and create feature entries based on the implementation_roadmap section.
**Your Task:**
1. Read the .automaker/app_spec.txt file
2. Parse the implementation_roadmap section (it contains phases with features listed)
3. For each feature listed in the roadmap, use the UpdateFeatureStatus tool to create a feature entry
4. Set the initial status to "todo" for all features
5. Extract a meaningful summary/description for each feature from the roadmap
**Feature Storage:**
Features are stored in .automaker/features/{id}/feature.json - each feature has its own folder.
Use the UpdateFeatureStatus tool to create features. The tool will handle creating the directory structure and feature.json file.
**Important:**
- Create features ONLY from the implementation_roadmap section
- Use the UpdateFeatureStatus tool for each feature
- Set status to "todo" initially
- Use a descriptive featureId based on the feature name (lowercase, hyphens for spaces)`,
maxTurns: 50,
cwd: projectPath,
mcpServers: {
"automaker-tools": featureToolsServer,
},
allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash", "mcp__automaker-tools__UpdateFeatureStatus"],
permissionMode: "acceptEdits",
sandbox: {
enabled: true,
autoAllowBashIfSandboxed: true,
},
abortController: abortController,
};
const prompt = `Please read the .automaker/app_spec.txt file and create feature entries for all features listed in the implementation_roadmap section.
For each feature in the roadmap:
1. Use the UpdateFeatureStatus tool to create the feature
2. Set status to "todo"
3. Provide a clear summary/description based on what's in the roadmap
4. Use a featureId that's descriptive and follows the pattern: lowercase with hyphens (e.g., "user-authentication", "payment-processing")
Start by reading the app_spec.txt file to see the implementation roadmap.`;
const currentQuery = query({ prompt, options });
execution.query = currentQuery;
let toolCallCount = 0;
let messageCount = 0;
try {
for await (const msg of currentQuery) {
if (!execution.isActive()) {
console.log("[SpecRegeneration] Feature generation aborted by user");
break;
}
if (msg.type === "assistant" && msg.message?.content) {
messageCount++;
for (const block of msg.message.content) {
if (block.type === "text") {
const preview = block.text.substring(0, 100).replace(/\n/g, " ");
console.log(`[SpecRegeneration] Feature gen message #${messageCount}: ${preview}...`);
sendToRenderer({
type: "spec_regeneration_progress",
content: block.text,
});
} else if (block.type === "tool_use") {
toolCallCount++;
const toolName = block.name;
const toolInput = block.input;
console.log(`[SpecRegeneration] Feature gen tool call #${toolCallCount}: ${toolName}`);
if (toolName === "mcp__automaker-tools__UpdateFeatureStatus" || toolName === "UpdateFeatureStatus") {
const featureId = toolInput?.featureId || "unknown";
const status = toolInput?.status || "unknown";
const summary = toolInput?.summary || "";
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Feature Creation] Creating feature "${featureId}" with status "${status}"${summary ? `\n Summary: ${summary}` : ""}\n`,
});
} else {
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Tool] Using ${toolName}...\n`,
});
}
sendToRenderer({
type: "spec_regeneration_tool",
tool: toolName,
input: toolInput,
});
}
}
} else if (msg.type === "tool_result") {
const toolName = msg.toolName || "unknown";
const result = msg.content?.[0]?.text || JSON.stringify(msg.content);
const resultPreview = result.substring(0, 200).replace(/\n/g, " ");
console.log(`[SpecRegeneration] Feature gen tool result (${toolName}): ${resultPreview}...`);
if (toolName === "mcp__automaker-tools__UpdateFeatureStatus" || toolName === "UpdateFeatureStatus") {
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Feature Creation] ${result}\n`,
});
} else {
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Tool Result] ${toolName} completed successfully\n`,
});
}
} else if (msg.type === "error") {
const errorMsg = msg.error?.message || JSON.stringify(msg.error);
console.error(`[SpecRegeneration] ERROR in feature generation stream: ${errorMsg}`);
sendToRenderer({
type: "spec_regeneration_error",
error: `Error during feature generation: ${errorMsg}`,
});
}
}
} catch (streamError) {
console.error("[SpecRegeneration] ERROR in feature generation stream:", streamError);
sendToRenderer({
type: "spec_regeneration_error",
error: `Feature generation stream error: ${streamError.message || String(streamError)}`,
});
throw streamError;
}
console.log(`[SpecRegeneration] Feature generation completed - ${messageCount} messages, ${toolCallCount} tool calls`);
execution.query = null;
execution.abortController = null;
currentPhase = "complete";
const featureElapsedTime = ((Date.now() - featureStartTime) / 1000).toFixed(1);
const totalElapsedTime = ((Date.now() - startTime) / 1000).toFixed(1);
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Phase: ${currentPhase}] ✓ All tasks completed! (${totalElapsedTime}s total, ${featureElapsedTime}s for features)\n`,
});
sendToRenderer({
type: "spec_regeneration_complete",
message: "All tasks completed!",
});
console.log(`[SpecRegeneration] All tasks completed including feature generation`);
} catch (error) {
const errorMessage = error.message || String(error);
console.error(`[SpecRegeneration] ERROR generating features: ${errorMessage}`);
sendToRenderer({
type: "spec_regeneration_error",
error: `Failed to generate features: ${errorMessage}`,
});
throw error;
}
}
/**
* Generate features from existing app_spec.txt
* This is a standalone method that can be called without generating a new spec
* Useful for retroactively generating features from an existing spec
*/
async generateFeaturesOnly(projectPath, sendToRenderer, execution) {
const startTime = Date.now();
console.log(`[SpecRegeneration] ===== Starting standalone feature generation =====`);
console.log(`[SpecRegeneration] Project path: ${projectPath}`);
try {
// Verify app_spec.txt exists
const specPath = path.join(projectPath, ".automaker", "app_spec.txt");
try {
await fs.access(specPath);
} catch {
sendToRenderer({
type: "spec_regeneration_error",
error: "No app_spec.txt found. Please create a spec first before generating features.",
});
throw new Error("No app_spec.txt found");
}
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: initialization] Starting feature generation from existing app_spec.txt...\n`,
});
// Use the existing feature generation method
await this.generateFeaturesFromSpec(projectPath, sendToRenderer, execution, startTime);
console.log(`[SpecRegeneration] ===== Standalone feature generation finished successfully =====`);
return {
success: true,
message: "Feature generation complete",
};
} catch (error) {
const elapsedTime = ((Date.now() - startTime) / 1000).toFixed(1);
const errorMessage = error.message || String(error);
console.error(`[SpecRegeneration] ERROR in standalone feature generation after ${elapsedTime}s: ${errorMessage}`);
if (execution) {
execution.abortController = null;
execution.query = null;
@@ -205,14 +597,12 @@ When analyzing, look at:
- Database configurations and schemas
- API structures and patterns
**Feature Storage:**
Features are stored in .automaker/features/{id}/feature.json - each feature has its own folder.
Do NOT manually create feature files. Use the UpdateFeatureStatus tool to manage features.
You CAN and SHOULD modify:
- .automaker/app_spec.txt (this is your primary target)
You have access to file reading, writing, and search tools. Use them to understand the codebase and write the new spec.`;
You have access to file reading, writing, and search tools. Use them to understand the codebase and write the new spec.
**IMPORTANT:** Focus ONLY on creating the app_spec.txt file. Do NOT create any feature files or use any feature management tools during this phase.`;
}
/**
@@ -266,12 +656,29 @@ Begin by exploring the project structure.`;
* Regenerate the app spec based on user's project definition
*/
async regenerateSpec(projectPath, projectDefinition, sendToRenderer, execution) {
console.log(`[SpecRegeneration] Regenerating spec for: ${projectPath}`);
const startTime = Date.now();
console.log(`[SpecRegeneration] ===== Starting spec regeneration =====`);
console.log(`[SpecRegeneration] Project path: ${projectPath}`);
console.log(`[SpecRegeneration] Project definition length: ${projectDefinition.length} characters`);
try {
let currentPhase = "initialization";
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: ${currentPhase}] Initializing spec regeneration process...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase}`);
const abortController = new AbortController();
execution.abortController = abortController;
currentPhase = "setup";
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Phase: ${currentPhase}] Configuring AI agent and tools...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase}`);
const options = {
model: "claude-sonnet-4-20250514",
systemPrompt: this.getSystemPrompt(),
@@ -288,52 +695,137 @@ Begin by exploring the project structure.`;
const prompt = this.buildRegenerationPrompt(projectDefinition);
currentPhase = "regeneration";
sendToRenderer({
type: "spec_regeneration_progress",
content: "Starting spec regeneration...\n",
content: `[Phase: ${currentPhase}] Starting spec regeneration...\n`,
});
console.log(`[SpecRegeneration] Phase: ${currentPhase} - Starting AI agent query`);
const currentQuery = query({ prompt, options });
execution.query = currentQuery;
let fullResponse = "";
for await (const msg of currentQuery) {
if (!execution.isActive()) break;
let toolCallCount = 0;
let messageCount = 0;
try {
for await (const msg of currentQuery) {
if (!execution.isActive()) {
console.log("[SpecRegeneration] Execution aborted by user");
break;
}
if (msg.type === "assistant" && msg.message?.content) {
for (const block of msg.message.content) {
if (block.type === "text") {
fullResponse += block.text;
if (msg.type === "assistant" && msg.message?.content) {
messageCount++;
for (const block of msg.message.content) {
if (block.type === "text") {
fullResponse += block.text;
const preview = block.text.substring(0, 100).replace(/\n/g, " ");
console.log(`[SpecRegeneration] Agent message #${messageCount}: ${preview}...`);
sendToRenderer({
type: "spec_regeneration_progress",
content: `[Agent] ${block.text}`,
});
} else if (block.type === "tool_use") {
toolCallCount++;
const toolName = block.name;
const toolInput = block.input;
console.log(`[SpecRegeneration] Tool call #${toolCallCount}: ${toolName}`);
console.log(`[SpecRegeneration] Tool input: ${JSON.stringify(toolInput).substring(0, 200)}...`);
// Special handling for UpdateFeatureStatus to show feature creation
if (toolName === "mcp__automaker-tools__UpdateFeatureStatus" || toolName === "UpdateFeatureStatus") {
const featureId = toolInput?.featureId || "unknown";
const status = toolInput?.status || "unknown";
const summary = toolInput?.summary || "";
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Feature Creation] Creating feature "${featureId}" with status "${status}"${summary ? `\n Summary: ${summary}` : ""}\n`,
});
} else {
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Tool] Using ${toolName}...\n`,
});
}
sendToRenderer({
type: "spec_regeneration_tool",
tool: toolName,
input: toolInput,
});
}
}
} else if (msg.type === "tool_result") {
// Log tool results for better visibility
const toolName = msg.toolName || "unknown";
const result = msg.content?.[0]?.text || JSON.stringify(msg.content);
const resultPreview = result.substring(0, 200).replace(/\n/g, " ");
console.log(`[SpecRegeneration] Tool result (${toolName}): ${resultPreview}...`);
// Special handling for UpdateFeatureStatus results
if (toolName === "mcp__automaker-tools__UpdateFeatureStatus" || toolName === "UpdateFeatureStatus") {
sendToRenderer({
type: "spec_regeneration_progress",
content: block.text,
content: `[Feature Creation] ${result}\n`,
});
} else if (block.type === "tool_use") {
} else {
sendToRenderer({
type: "spec_regeneration_tool",
tool: block.name,
input: block.input,
type: "spec_regeneration_progress",
content: `[Tool Result] ${toolName} completed successfully\n`,
});
}
} else if (msg.type === "error") {
const errorMsg = msg.error?.message || JSON.stringify(msg.error);
console.error(`[SpecRegeneration] ERROR in query stream: ${errorMsg}`);
sendToRenderer({
type: "spec_regeneration_error",
error: `Error during spec regeneration: ${errorMsg}`,
});
}
}
} catch (streamError) {
console.error("[SpecRegeneration] ERROR in query stream:", streamError);
sendToRenderer({
type: "spec_regeneration_error",
error: `Stream error: ${streamError.message || String(streamError)}`,
});
throw streamError;
}
console.log(`[SpecRegeneration] Query completed - ${messageCount} messages, ${toolCallCount} tool calls`);
execution.query = null;
execution.abortController = null;
const elapsedTime = ((Date.now() - startTime) / 1000).toFixed(1);
currentPhase = "complete";
console.log(`[SpecRegeneration] Phase: ${currentPhase} - Spec regeneration completed in ${elapsedTime}s`);
sendToRenderer({
type: "spec_regeneration_progress",
content: `\n[Phase: ${currentPhase}] ✓ Spec regeneration complete! (${elapsedTime}s)\n`,
});
sendToRenderer({
type: "spec_regeneration_complete",
message: "Spec regeneration complete!",
});
console.log(`[SpecRegeneration] ===== Spec regeneration finished successfully =====`);
return {
success: true,
message: "Spec regeneration complete",
};
} catch (error) {
const elapsedTime = ((Date.now() - startTime) / 1000).toFixed(1);
if (error instanceof AbortError || error?.name === "AbortError") {
console.log("[SpecRegeneration] Regeneration aborted");
console.log(`[SpecRegeneration] Regeneration aborted after ${elapsedTime}s`);
sendToRenderer({
type: "spec_regeneration_error",
error: "Spec regeneration was aborted by user",
});
if (execution) {
execution.abortController = null;
execution.query = null;
@@ -344,7 +836,17 @@ Begin by exploring the project structure.`;
};
}
console.error("[SpecRegeneration] Error regenerating spec:", error);
const errorMessage = error.message || String(error);
const errorStack = error.stack || "";
console.error(`[SpecRegeneration] ERROR regenerating spec after ${elapsedTime}s:`);
console.error(`[SpecRegeneration] Error message: ${errorMessage}`);
console.error(`[SpecRegeneration] Error stack: ${errorStack}`);
sendToRenderer({
type: "spec_regeneration_error",
error: `Failed to regenerate spec: ${errorMessage}`,
});
if (execution) {
execution.abortController = null;
execution.query = null;