diff --git a/app/.DS_Store b/app/.DS_Store new file mode 100644 index 0000000..6917ba1 Binary files /dev/null and b/app/.DS_Store differ diff --git a/app/configs.py b/app/configs.py index 6fc41be..e5d41a3 100644 --- a/app/configs.py +++ b/app/configs.py @@ -1,15 +1,115 @@ import os from pathlib import Path +from prompt_store import PromptStore +from dotenv import load_dotenv -ANTHROPIC_API_KEY = "" +load_dotenv() + +MONGO_URI = "mongodb+srv://lahiruprabhath099:qYVDTCA22Mds96KV@cluster1.diq5rte.mongodb.net/?retryWrites=true&w=majority&appName=Cluster1&tlsAllowInvalidCertificates=true" +ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY") WORKSPACE_DIR = Path(os.path.join(os.getcwd(), "workspace")) +TEMPLATE_DIR = os.path.join(os.getcwd(), "templates/workspace") PACKAGE_MANAGER = "npm" MIN_NODE = (18, 18, 0) +store = PromptStore(MONGO_URI, db_name="GameOnAI", collection_name="prompts") + +prompt_template = store.get_prompt("project_planner_prompt") + +INSTRUCTIONS= """ +**Game Logic & Features:** +- AI opponents with multiple difficulty levels (Easy, Medium, Hard) +- Single-player vs AI +- 2 players multiplayer option +- Single-Player vs AI feature should work without connecting to web Socket or not +- page.tsx should inside the app folder. +- Multiplayer game isn't not playing from the same device. +- Win/lose/draw condition detection with pixel-perfect accuracy +- Comprehensive error handling for all edge cases +- Player statistics and scoring system +- Eliminate lynting error and type defining errors + +## UI/UX PRIORITY SPECIFICATIONS: + +**Visual Design:** +- Modern, sleek interface with smooth micro-animations +- CRITICAL : Text colors, UI componenet allignments, spacing, utilizing the space as UX professionals. +- the playing areas should designed perfectly as match per the requested game. +- Space utilisation, deciding the size of each component, allignments, positioning should be world class +- No instructions and No dcumentaions. +- Eye catching Gradient backgrounds with dynamic color transitions +- Eye-catching color palettes with strategic color mixing +- Glassmorphism effects and card-based layouts +- Subtle shadows, borders, and depth effects +- Hover animations and interactive feedback +- Loading spinners, success states, and error notifications +- Minimal text, no guidelines or explanations +- Player turn indicators must be clear and immediate + +##CRITICAL for MULTIPLAYER IMPLEMENTATION: + +- Multiplayer game feature is only allowed to play via web soket implementaion in multiple devices. +- But must not create join room UI feature in multiplayer option. You can assume when game is opened it is created already. +- Understand that multiplayer game option is not playing in the same device. It is playing from two devices +- UI States are update through the websocket in two players screen accordingly. + +CRITICAL : UI/UX components positioning , color mixing ,player turns return should be world class +Use filled color game objects. Less Text , no guidelines or explanations in the UI +""" + +summarizer_prompt = """You are a game development requirements analyzer. Your task is to extract and summarize the core game concept and requirements from user queries, focusing only on gameplay mechanics, features, and user experience elements. + +INSTRUCTIONS: +1. Extract the main game concept and identify the specific game type +2. Summarize ONLY the gameplay requirements, features, and mechanics +3. Ignore all technical implementation details including: + - Database implementations + - WebSocket connections + - API specifications + - Server architecture + - Programming languages + - Framework choices + - Deployment details + - Technical stack mentions + +4. Focus on: + - Game mechanics and rules + - Player interactions + - Game objectives and win conditions + - UI/UX requirements + - Visual elements and themes + - Game modes or difficulty levels + - Player progression systems + - Core features and functionality + +5. Return your response in this exact JSON format: +{{ + "summarized_text": "Clear, concise summary of the game requirements focusing on gameplay mechanics, features, and user experience", + "game_name": "Identified game type or name (e.g., 'tic_tac_toe', 'snake_game', 'puzzle_game', 'platformer', etc.)" +}} + +EXAMPLES: + +Input: "I want to build a tic-tac-toe game with React and Node.js backend, using WebSocket for real-time multiplayer and MongoDB for storing game states" +Output: {{ + "summarized_text": "A classic tic-tac-toe game where two players take turns placing X's and O's on a 3x3 grid, with the goal of getting three marks in a row (horizontally, vertically, or diagonally). Features real-time multiplayer gameplay.", + "game_name": "tic_tac_toe" +}} + +Input: "Create a snake game using Python with pygame, store high scores in SQLite database and implement collision detection algorithms" +Output: {{ + "summarized_text": "A snake game where the player controls a growing snake to eat food while avoiding collisions with walls and the snake's own body. Features score tracking and high score system.", + "game_name": "snake_game" +}} + +Now analyze the following user query and return the JSON response: + +{user_query}""" + -prompt_template = """You are an expert Next.js developer. Create a detailed project plan and complete functional codes for the following user requirement. +sample_prompt = """You are an expert Next.js developer. continue a incomplete game development project following the guidelines. -**user_requirement:** {requirements} +**user_query:** {requirements} Return a JSON object with this exact structure. No string literal output. The files field should be a list not a string literal. Also the object inside the file list should not be string json text. It should be a JSON type object: @@ -17,10 +117,10 @@ {{ "description": "Brief project description", "development_plan": "Development plan overview", - "directories": ["src/components", "src/hooks", "src/types"], + "directories": ["app/components", "app/hooks", "app/types"], "files": [ {{ - "path": "src/file1.tsx", + "path": "app/file1.tsx", "description": "File description", "content": "complete functional code" }} @@ -34,121 +134,169 @@ }} ``` -## CORE REQUIREMENTS: +***Guidelines*** +***CRITICAL*** +Your goal is to continue from the avialble web socket connection. -**Framework & Architecture:** -- Next.js 15+ with App Router and TypeScript -- Modern, responsive UI with Tailwind CSS -- Clean component architecture with proper separation of concerns -- Custom React hooks for game logic and state management -- Proper error boundaries and loading states -- Mobile-first responsive design approach -- Project is pre-initialized with Tailwind and TypeScript - no setup required -- Install only necessary packages for functionality **Game Logic & Features:** -- Complete game implementation with robust logic +- continue game implementaion. creat components like, types and page.tsx, +- db connection already implemented. - AI opponents with multiple difficulty levels (Easy, Medium, Hard) -- Single-player vs AI and multiplayer modes -- When switching to multiplayer user no need o provide room data. load all data from db. -- no need to waiting assume users will be in the room -- because before player open the game create room has been called +- Single-Player vs AI and - Multi player options +- multiplayer option feature should work without connecting to web Socket +- Create seperate componenets, type defenitions +- componenets folder, types folder, hooks folder, page.tsx must be inside the app folder. +- Multiplayer game isn't not playing from the same device. It is playing from two devices - Win/lose/draw condition detection with pixel-perfect accuracy -- Game state persistence and history tracking -- Real-time multiplayer synchronization - Comprehensive error handling for all edge cases -- Game reset and restart functionality - Player statistics and scoring system +- Eliminate lynting error and type defining errors ## UI/UX PRIORITY SPECIFICATIONS: **Visual Design:** - Modern, sleek interface with smooth micro-animations -- CRITICAL : Text colors, UI componenet allignments, spacing, utilizing the space as UX professionals +- CRITICAL : Text colors, UI componenet allignments, spacing, utilizing the space as UX professionals. +- the playing areas should designed perfectly as match per the requested game. +- Space utilisation, deciding the size of each component, allignments, positioning should be world class - No instructions and No dcumentaions. -- Gradient backgrounds with dynamic color transitions +- Eye catching Gradient backgrounds with dynamic color transitions - Eye-catching color palettes with strategic color mixing - Glassmorphism effects and card-based layouts - Subtle shadows, borders, and depth effects - Hover animations and interactive feedback - Loading spinners, success states, and error notifications +- Minimal text, no guidelines or explanations +- Player turn indicators must be clear and immediate -## MULTIPLAYER IMPLEMENTATION: +##Important for MULTIPLAYER IMPLEMENTATION: +I'll provide an example codes how the multiplayer game is implemented. you want to use exact websocket and api related concept variables names as exactly as same. +see the example code below to handle states in each player device with multiplayer support. The example is to guioide to the multiplayer connection setup. the game play and componenet should design according the required game -**Room Management API:** -Create a POST API endpoint for external room creation (not called within the game UI): Only the Data populate from this -API will use to room management in the playing time. No need to add any information abiut this API in UI +{main_page} -**API Endpoint:** `{{base_url}}/api/create-room` -**Request Payload:** -```json + +## **CRITICAL FOR MULTIPLAYER OPTION - ** +- Multiplayer games ONLY via WebSocket on multiple devices (not same device) +- NO join room UI - assume game room already created when opened +- Use EXACTLY the same payload variables, state variables, API names, event names as reference example +- Handle all socket events in page.tsx according to requested game +- gameSessionUUID value must be parsed from params in page.tsx +- Define all type definitions in page.tsx +- Do NOT create additional APIs +- Player names should display by actual name and profile accordingly + +## PLAYER TURN DISPLAY +- When player turns change, display logically updates on each user's screen +- UI states update through WebSocket across both players' screens simultaneously + + +## IMPLEMENTATION +- Extract gameSessionUUID by parsing URL parameters in page.tsx +- Create game components in component folder +- Game logic and UI adapt to requested game while maintaining WebSocket structure +- Real-time state synchronization between separate devices +""" + + + +fixer_prompt = """You are a Next.js/TypeScript code fixer. You MUST generate fix actions. + +BUILD ERROR: {error} +ROOT CAUSE: {root_cause} +CURRENT CODE: {current_code} + +CRITICAL RULE: Since an error exists, you MUST provide at least one action. Empty actions = system failure. + +MANDATORY OUTPUT STRUCTURE: {{ - "Room": {{ - "room_name": "Room Display Name", - "gameSessionUuid": "unique_room_identifier_123" - }}, - "players": [ - {{ - "name": "Player One", - "uuid": "player_uuid_1", - "profile_image": "image_url_or_base64", - "ready": "true" - }}, - {{ - "name": "Player Two", - "uuid": "player_uuid_2", - "profile_image": "image_url_or_base64", - "ready": "true" - }} - ] + "summary": "Error type and fix method", + "actions": [REQUIRED - CANNOT BE EMPTY] }} -``` -**Response Payload:** -```json +FORCE ACTION GENERATION: +If you identify the fix but hesitate to provide actions, you MUST still provide them. +If you're unsure of exact content, provide your best attempt rather than empty actions. +If you can't determine the exact file, use the most likely file path from the error. + +COMMON ERROR → ACTION MAPPING: +- Type error → write_file with type fix +- Import error → write_file with correct imports +- Missing package → install_package +- Syntax error → write_file with syntax fix +- Any other error → write_file with attempted fix- +- Hardly skip warnings. No need to fix +- You have two task mainly + 1 - fix the error. + 2 - Must provide the rewrite content with fix in actions key + +EMERGENCY FALLBACK (if no specific fix identified): +Always include at least this action: +{{"tool": "write_file", "args": {{"path": "[most_likely_file_from_error]", "content": "[current_code_with_obvious_fix_attempt]"}} + +VALIDATION CHECK: +- Before responding, verify actions array is NOT empty +- If actions is empty, add a fallback write_file action +- Never explain why you can't fix - just provide your best fix attempt + +RESPONSE (JSON only): +{{ + "summary": "Brief fix description", + "actions": [{{"tool": "write_file", "args": {{"path": "file.ts", "content": "complete fixed file content"}}] +}}""" + + +improver_prompt = """ +You are an expert Next.js developer with 10+ years of experience building production-grade applications. You specialize in game development and have a track record of maintaining high-quality, stable codebases. + +## CONTEXT +- Initial Project: {instructions} +- Change Request: {requirement} +- Target Code: {codes} + +## YOUR MISSION +Analyze the provided code and implement the requested changes with surgical precision. This is a WORKING system that requires minimal, targeted modifications. + +## CRITICAL CONSTRAINTS +1. **Preserve Functionality**: The current code is stable and functional - make only necessary changes +2. **Minimal Impact**: Avoid refactoring or "improvements" beyond the specific requirement +3. **Precision Over Perfection**: Focus on the exact change requested, not code optimization +4. **Risk Assessment**: If the change could break existing functionality, explain the risks + +## ANALYSIS PROCESS +1. **Understand**: What specific functionality needs to change? +2. **Locate**: Which exact files/sections require modification? +3. **Isolate**: What's the minimal change that satisfies the requirement? +4. **Implement**: Apply changes while preserving existing code patterns +5. **Do not** change any route.ts file if provided in any case. They are provided to as helpers to change other required files + +## RESPONSE FORMAT +The √ name should return as it is provided in the Target code section. +You MUST respond with a valid JSON object in this exact format: + {{ - "status": true, - "message": "Room created successfully", - "payload": {{ - "gameSessionUuid": "unique_room_identifier_123", - "gameStateId": "mongodb_object_id", - "name": "Room Display Name", - "createDate": "2025-01-01T00:00:00.000Z", - "link1": "value_from_environment_variable" + "changes": [ + {{ + "file_path": "file_path_1", + "content": "complete_rewritten_file_content_with_changes_applied" + }}, + {{ + "file_path": "file_path", + "content": "complete_rewritten_file_content_with_changes_applied" }} + ], + "description": "Brief explanation of changes made or additional information needed" }} -``` -**Database Integration:** -- MongoDB database name: 'GameOnAI' -- Store room data, player information, and game states -- Handle concurrent room creation and player management -- Implement proper indexing for performance - -**Real-time Communication:** -- Socket.IO integration for multiplayer synchronization -- Real-time game state updates and player actions -- Connection handling, reconnection logic, and error recovery -- Room-based socket channels for isolated gameplay -- Player presence detection and status updates - -## TECHNICAL SPECIFICATIONS: - -**NEXTJS Implementation:** -- Use "use client" directive appropriately for client-side components -- Implement custom React hooks for game logic, socket connection, and state management -- Context API for global game state management -- Proper TypeScript interfaces and type definitions -- Component composition and reusability patterns - -CRITICAL : **Game Logic Accuracy:** -- Mathematically precise win/lose/draw detection algorithms -- Edge case handling for all possible game scenarios -- State validation and integrity checks -- Undo/redo functionality if applicable -- Fair AI difficulty progression and balanced gameplay - -Ensure all code is complete, functional, production-ready, and thoroughly tested for edge cases. The final implementation should provide an engaging, bug-free gaming experience with professional-grade UI/UX design.""" - +## SPECIAL CASES +If the change requested cannot be achieved by modifying the target code (it might require additional files, dependencies, or information not provided), respond with an empty changes list and use the description field to request the additional information needed to complete the task. + +Example for cases requiring additional information: +{{ + "changes": [], + "description": "Cannot complete the requested change. Additional information needed: [specify what's missing - e.g., missing component files, required dependencies, configuration files, etc.]" +}} +""" \ No newline at end of file diff --git a/app/main.py b/app/main.py index 684732c..fc534fb 100644 --- a/app/main.py +++ b/app/main.py @@ -1,51 +1,72 @@ from typing import Dict, Any -from pathlib import Path -import os -from flask import Flask, request, jsonify, Response -from src.agents.game_dev_agent.stream_graph import graph_stream -from src.data_models.schemas import BuildState -from langchain_core.messages import AIMessage - +from flask import Flask, request, jsonify +from langgraph.checkpoint.memory import MemorySaver +from src.agents.game_dev_agent.graph_builder import GraphBuilder +from langchain_core.messages import HumanMessage +from src.utils.deploy import push_workspace_to_github app = Flask(__name__) -@app.route("/build" , methods = ["POST"]) +checkpointer = MemorySaver() +graph_builder = GraphBuilder() +app_graph = graph_builder.build_app(checkpointer=checkpointer) + + +@app.route("/build", methods=["POST"]) def build_game(): try: - payload: Dict[str, Any] = request.get_json() + payload: Dict[str, Any] = request.get_json(force=True) except Exception: return jsonify({"ok": False, "error": "Invalid JSON body"}), 400 thread_id = payload.get("thread_id") requirements = payload.get("requirements") - enhanced = payload.get("enhanced") - - - init_state: BuildState = { - "requirements": requirements, - "description": "", - "development_plan": "", - "directories": [], - "files": [], - "packages": [], - "messages": [], - "last_tool_result": None, - "execution_success": None, - "build_ok" : None, - "build_output": "", - "fix_plan": {}, - "fix_actions_result": [], - "fix_attempts" : 0, - "enhanced" : enhanced, - "enhanced_attempt" : 0 -} - if not thread_id or not isinstance(thread_id, str): + + if not isinstance(thread_id, str) or not thread_id: return jsonify({"ok": False, "error": "`thread_id` (string) is required"}), 400 - - graph_stream(init_state=init_state, thread_id=thread_id) - return jsonify({"Success": True, "message": "built Successfully completed"}), 200 + if requirements is not None and not isinstance(requirements, str): + return jsonify({"ok": False, "error": "`requirements` must be a string"}), 400 + + config = {"configurable": {"thread_id": thread_id}} + + try: + snapshot = app_graph.get_state(config) + has_state = bool(getattr(snapshot, "values", None)) + except Exception: + has_state = False + snapshot = None + + + if not has_state: + + input_state = graph_builder.init_state(requirements=requirements) + else: + + input_state = { + "messages": HumanMessage(content=requirements), + } + + + for chunk in app_graph.stream(input=input_state, config=config): + print("---- CHUNK ----") + print("---------------") + + return jsonify({"Success": True, "message": "Build completed successfully"}), 200 + + +@app.route("/deploy" , methods = ["POST"]) +def deploy_to_github(): + try: + payload: Dict[str, Any] = request.get_json(force=True) + except Exception: + return jsonify({"ok": False, "error": "Invalid JSON body"}), 400 + + github_repo = payload.get("thread_id") + branch = payload.get("requirements") + commit_message = payload.get("commit_message") + push_workspace_to_github(branch_name=branch , repo_url=github_repo, commit_message=commit_message) -if __name__ == "__main__": - app.run(host="0.0.0.0", port=8000, debug=False) \ No newline at end of file +if __name__ == "__main__": + app.run(host="0.0.0.0", port=8000, debug=False) diff --git a/app/prompt_store.py b/app/prompt_store.py new file mode 100644 index 0000000..b488ccc --- /dev/null +++ b/app/prompt_store.py @@ -0,0 +1,30 @@ +from pymongo import MongoClient +from typing import Optional + +class PromptStore: + def __init__(self, mongo_uri: str, db_name: str = "GameOnAI", collection_name: str = "Prompts"): + self.client = MongoClient(mongo_uri) + self.db = self.client[db_name] + self.collection = self.db[collection_name] + + def save_prompt(self, name: str, content: str, metadata: Optional[dict] = None) -> str: + existing = self.collection.find_one({"name": name}) + if existing: + self.collection.update_one( + {"_id": existing["_id"]}, + {"$set": {"content": content, "metadata": metadata or {}}} + ) + return str(existing["_id"]) + result = self.collection.insert_one({ + "name": name, + "content": content, + "metadata": metadata or {} + }) + return str(result.inserted_id) + + def get_prompt(self, name: str) -> Optional[str]: + result = self.collection.find_one({"name": name}) + return result["content"] if result else None + + def list_prompts(self): + return [doc["name"] for doc in self.collection.find({}, {"name": 1})] diff --git a/app/save_prompt.ipynb b/app/save_prompt.ipynb new file mode 100644 index 0000000..309d68d --- /dev/null +++ b/app/save_prompt.ipynb @@ -0,0 +1,112 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "id": "5d41180b", + "metadata": {}, + "outputs": [], + "source": [ + "from prompt_store import PromptStore" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "935776be", + "metadata": {}, + "outputs": [], + "source": [ + "store = PromptStore(\"\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c3d9d309", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'689ee14ff7d7978754a21122'" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Your current prompt\n", + "prompt_template = \"\"\"You are a senior Next.js/TypeScript developer and code reviewer. Given npm build error logs, analyze the provided code files and generate a precise fix plan.\n", + "\n", + "BUILD ERROR: {error}\n", + "ROOT CAUSE: {root_cause}\n", + "CURRENT CODE: {current_code}\n", + "\n", + "ANALYSIS REQUIREMENTS:\n", + "1. Identify the exact TypeScript/Next.js compilation error\n", + "2. Locate the specific line(s) causing the build failure\n", + "3. Determine the minimal code changes needed to resolve the error\n", + "4. Ensure compatibility with Next.js App Router, TypeScript, and Tailwind CSS\n", + "\n", + "FIX CONSTRAINTS:\n", + "- Target: Next.js App Router + TypeScript + Tailwind CSS\n", + "- Focus ONLY on build-breaking errors (ignore warnings)\n", + "- Provide complete file contents for any modified files\n", + "- Ensure TypeScript type safety and Next.js routing compatibility\n", + "- Verify Tailwind CSS classes are valid and properly applied\n", + "- Use only: \"write_file\", \"install_package\", \"remove_file\"\n", + "\n", + "OUTPUT FORMAT - Return ONLY valid JSON:\n", + "{{\n", + "\"summary\": \"Brief description of the build error and fix\",\n", + "\"actions\": [\n", + " {{\"tool\": \"write_file\", \"args\": {{\"path\": \"file/path\", \"content\": \"COMPLETE rewritten file content with fix\"}}}},\n", + " {{\"tool\": \"install_package\", \"args\": {{\"name\": \"package-name\", \"dev\": boolean}}}},\n", + " {{\"tool\": \"remove_file\", \"args\": {{\"path\": \"file/path\"}}}}\n", + "]\n", + "}}\n", + "\n", + "CRITICAL: \n", + "- Include FULL file content in \"content\" field\n", + "- Fix must resolve the specific build error\n", + "- Maintain existing functionality while fixing the error\n", + "- No explanations outside the JSON structure\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d070e381", + "metadata": {}, + "outputs": [], + "source": [ + "# Save prompt\n", + "store.save_prompt(\"code_fixer_prompt\", prompt_template)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/app/src/agents/game_dev_agent/codeEmbedding.py b/app/src/agents/game_dev_agent/codeEmbedding.py new file mode 100644 index 0000000..39ed39a --- /dev/null +++ b/app/src/agents/game_dev_agent/codeEmbedding.py @@ -0,0 +1,274 @@ +import os +from pathlib import Path +from itertools import groupby +from typing import List, Dict +from sklearn.metrics.pairwise import cosine_similarity +import numpy as np + +from langchain.schema import Document +from langchain_community.vectorstores import FAISS +from langchain_community.embeddings import HuggingFaceEmbeddings +from langchain.text_splitter import RecursiveCharacterTextSplitter +from configs import WORKSPACE_DIR, MIN_NODE, PACKAGE_MANAGER +from prompt_store import PromptStore +from src.utils.command_utils import CommandUtils + +print(f"workspace_inside_nodes : {WORKSPACE_DIR}") + +command_utils = CommandUtils(workspace=WORKSPACE_DIR, min_node=MIN_NODE, package_manager=PACKAGE_MANAGER) + + +class CodeEmbeddings: + def __init__(self): + # Use state-of-the-art embedding model + self.embeddings = HuggingFaceEmbeddings( + model_name="sentence-transformers/all-MiniLM-L6-v2", + model_kwargs={'device': 'cpu'} + ) + self.vectorstore = None + + def populate_workspace(self, workspace_path: str): + """Create semantic vector space from code files""" + print(f"🔍 Creating semantic vector space: {workspace_path}") + + files = self._find_files(workspace_path) + print(f"all files : {files}") + documents = [] + + for file_path in files: + chunks = self._semantic_chunk_file(file_path) + documents.extend(chunks) + + if documents: + self.vectorstore = FAISS.from_documents(documents, self.embeddings) + print(f"✅ Created vector space with {len(documents)} semantic chunks") + + return len(documents) + + def _find_files(self, workspace_path: str) -> List[str]: + """Find exactly the files you specified""" + root = Path(workspace_path) + files = [] + + for file_path in root.rglob('*'): + if not file_path.is_file(): + continue + + if any(skip in file_path.parts for skip in ['node_modules', '.git', '.next', 'dist', 'build']): + continue + + relative_path = file_path.relative_to(root) + + if (file_path.name == 'route.ts' and + 'app' in file_path.parts and 'api' in file_path.parts): + files.append(str(relative_path)) + + elif ('pages' in file_path.parts and 'api' in file_path.parts and + file_path.suffix == '.ts'): + files.append(str(relative_path)) + + elif ('app' in file_path.parts and 'components' in file_path.parts and + file_path.suffix in ['.tsx', '.css']): + files.append(str(relative_path)) + + elif ('app' in file_path.parts and 'hooks' in file_path.parts and + file_path.suffix == '.ts'): + files.append(str(relative_path)) + + elif ('app' in file_path.parts and 'types' in file_path.parts and + file_path.suffix == '.ts'): + files.append(str(relative_path)) + + elif file_path.name == 'page.tsx': + files.append(str(relative_path)) + + elif file_path.name in ['global.css', 'globals.css']: + files.append(str(relative_path)) + + print(f"Found {len(files)} target files") + print(f"Included files : {files}") + return files + def _semantic_chunk_file(self, file_path: str) -> List[Document]: + """Use semantic chunking for better code understanding""" + try: + content = command_utils.read_file(file_path) + + if file_path.endswith('.css'): + return self._chunk_css(content, file_path) + else: + return self._semantic_chunk_code(content, file_path) + + except Exception as e: + print(f"❌ Error: {file_path}: {e}") + return [] + + def _semantic_chunk_code(self, content: str, file_path: str) -> List[Document]: + """Semantic chunking for TypeScript files""" + + logical_chunks = self._extract_logical_units(content) + + if not logical_chunks: + + return self._recursive_chunk(content, file_path) + + return self._group_by_semantics(logical_chunks, file_path) + + def _extract_logical_units(self, content: str) -> List[str]: + """Extract logical code units (functions, classes, exports)""" + import re + + # Find function/class/interface boundaries + patterns = [ + # Functions + r'((?:export\s+)?(?:async\s+)?function\s+\w+[^{]*\{(?:[^{}]*\{[^{}]*\})*[^{}]*\})', + # Arrow functions + r'((?:export\s+)?const\s+\w+\s*=\s*(?:async\s+)?\([^)]*\)\s*=>\s*\{(?:[^{}]*\{[^{}]*\})*[^{}]*\})', + # Classes + r'((?:export\s+)?class\s+\w+[^{]*\{(?:[^{}]*\{[^{}]*\})*[^{}]*\})', + # Interfaces/Types + r'((?:export\s+)?(?:interface|type)\s+\w+[^;{]*(?:\{[^{}]*\}|[^;]*;))', + # Default exports + r'(export\s+default\s+[^;]+;?)', + ] + + chunks = [] + for pattern in patterns: + matches = re.findall(pattern, content, re.DOTALL | re.MULTILINE) + chunks.extend(matches) + + # Remove duplicates and filter valid chunks + unique_chunks = [] + seen = set() + for chunk in chunks: + chunk_clean = chunk.strip() + if len(chunk_clean) > 50 and chunk_clean not in seen: # Minimum size filter + unique_chunks.append(chunk_clean) + seen.add(chunk_clean) + + return unique_chunks + + def _group_by_semantics(self, chunks: List[str], file_path: str) -> List[Document]: + """Group chunks by semantic similarity""" + if len(chunks) <= 1: + return [Document( + page_content=chunks[0] if chunks else "", + metadata={'file_path': file_path, 'filename': Path(file_path).name} + )] + + # Generate embeddings for each chunk + chunk_embeddings = self.embeddings.embed_documents(chunks) + + # Calculate similarity matrix + similarity_matrix = cosine_similarity(chunk_embeddings) + + # Group similar chunks (threshold-based) + threshold = 0.7 # Adjust based on your needs + groups = self._cluster_by_similarity(similarity_matrix, threshold) + + # Create documents from groups + documents = [] + for i, group in enumerate(groups): + # Combine chunks in the same group + combined_content = '\n\n'.join([chunks[idx] for idx in group]) + + doc = Document( + page_content=combined_content, + metadata={ + 'file_path': file_path, + 'filename': Path(file_path).name, + 'chunk_group': i, + 'chunk_count': len(group) + } + ) + documents.append(doc) + + return documents + + def _cluster_by_similarity(self, similarity_matrix: np.ndarray, threshold: float) -> List[List[int]]: + """Simple clustering based on similarity threshold""" + n = similarity_matrix.shape[0] + visited = [False] * n + groups = [] + + for i in range(n): + if visited[i]: + continue + + # Start new group + group = [i] + visited[i] = True + + # Find similar chunks + for j in range(i + 1, n): + if not visited[j] and similarity_matrix[i][j] > threshold: + group.append(j) + visited[j] = True + + groups.append(group) + + return groups + + def _recursive_chunk(self, content: str, file_path: str) -> List[Document]: + """Fallback recursive chunking""" + splitter = RecursiveCharacterTextSplitter( + chunk_size=1000, + chunk_overlap=200, + separators=["\n\n", "\n", " ", ""] + ) + + chunks = splitter.split_text(content) + return [ + Document( + page_content=chunk, + metadata={ + 'file_path': file_path, + 'filename': Path(file_path).name, + 'chunk_index': i + } + ) + for i, chunk in enumerate(chunks) + ] + + def _chunk_css(self, content: str, file_path: str) -> List[Document]: + """Simple CSS chunking""" + return [Document( + page_content=content, + metadata={ + 'file_path': file_path, + 'filename': Path(file_path).name, + 'file_type': 'css' + } + )] + + def search(self, query: str, k: int = 10) -> List[Dict]: + """Semantic search""" + if not self.vectorstore: + raise ValueError("Vector store not created") + + docs_and_scores = self.vectorstore.similarity_search_with_score(query, k=k) + + results = [] + for doc, distance in docs_and_scores: + + relevance_score = max(0.0, 1.0 - (distance / 2.0)) + + results.append({ + 'file_path': doc.metadata['file_path'], + 'filename': doc.metadata['filename'], + 'score': relevance_score, + 'metadata': doc.metadata + }) + return results + + def save(self, path: str): + if self.vectorstore: + self.vectorstore.save_local(path) + + def load(self, path: str): + self.vectorstore = FAISS.load_local(path, self.embeddings) + + def get_uniques(self, results): + + return [max(group, key=lambda x: x['score']) + for _, group in groupby(sorted(results, key=lambda x: x['file_path']), + key=lambda x: x['file_path'])] diff --git a/app/src/agents/game_dev_agent/graph_builder.py b/app/src/agents/game_dev_agent/graph_builder.py index 7defc19..712814f 100644 --- a/app/src/agents/game_dev_agent/graph_builder.py +++ b/app/src/agents/game_dev_agent/graph_builder.py @@ -1,15 +1,17 @@ +from typing import Dict from langgraph.graph import StateGraph, START, END from src.data_models.schemas import BuildState -from src.agents.game_dev_agent.nodes import plan_node,project_tools_node,build_tool_node,fixer_node,apply_fix_actions_node, enhancement_node, error_analyzer +from langchain_core.messages import HumanMessage, AIMessage +from src.agents.game_dev_agent.nodes import plan_node,project_tools_node,build_tool_node,fixer_node,apply_fix_actions_node, enhancement_node, error_analyzer, code_retriever, summarizer class GraphBuilder(): def _start_router(self, state: BuildState)-> str: - if state.get("execution_success") and state.get("build_ok"): - return "enhancer" + if state.get("n_rounds") > 0 : + return "retriever" else: - return "plan" + return "summarizer" def _route_after_tools(self, state: BuildState) -> str: return "build" if state.get("execution_success") else "end" @@ -18,7 +20,7 @@ def _route_after_build(self, state: BuildState) -> str: if state.get("build_ok"): return "end" - if (state.get("fix_attempts")) >= 5: + if (state.get("fix_attempts")) >= 7: return "end" return "error_analyzer" @@ -29,10 +31,37 @@ def _route_after_analyzer(self, state: BuildState): return "end" def _route_after_apply(self, state: BuildState) -> str: return "build" + + def init_state(self, requirements : str): + return { + "n_rounds": 0, + "requirements": requirements, + "summary" : "", + "game_name" : "" , + "description": "", + "development_plan": "", + "directories": [], + "files": [], + "packages": [], + "messages": [], + "last_tool_result": None, + "execution_success": None, + "build_ok": None, + "build_output": "", + "is_error" : None , + "error_files" : [], + "root_cause" : "", + "fix_plan": {}, + "fix_actions_result": [], + "fix_attempts": 0, + "retrieved_files" : [] - def build_app(self): - graph = StateGraph(BuildState) + } + def build_app(self, checkpointer=None): + graph = StateGraph(BuildState) + graph.add_node("summarizer" , summarizer) + graph.add_node("retriever",code_retriever) graph.add_node("enhancer" , enhancement_node) graph.add_node("plan", plan_node) graph.add_node("tools", project_tools_node) @@ -41,12 +70,14 @@ def build_app(self): graph.add_node("fixer", fixer_node) graph.add_node('apply_fixes',apply_fix_actions_node) + graph.add_conditional_edges( START, self._start_router, - {"enhancer": "enhancer", "plan": "plan"}, + {"retriever": "retriever", "summarizer": "summarizer"}, ) - + graph.add_edge("summarizer","plan") + graph.add_edge("retriever", "enhancer") graph.add_edge('plan','tools' ) graph.add_conditional_edges( "tools", @@ -72,4 +103,4 @@ def build_app(self): {"build": "build"}, ) - return graph.compile() + return graph.compile(checkpointer=checkpointer) diff --git a/app/src/agents/game_dev_agent/nodes.py b/app/src/agents/game_dev_agent/nodes.py index aee54f8..a9e1050 100644 --- a/app/src/agents/game_dev_agent/nodes.py +++ b/app/src/agents/game_dev_agent/nodes.py @@ -1,6 +1,7 @@ import os import re import json +import shutil from pathlib import Path from typing import List, TypedDict, Annotated, Dict, Optional, Any from langchain_anthropic import ChatAnthropic @@ -11,17 +12,24 @@ from langchain.tools import tool from configs import ANTHROPIC_API_KEY -from src.data_models.schemas import ProjectPlan, FixPlan, BuildState +from src.data_models.schemas import ProjectPlan, FixPlan, BuildState, Summarize from src.agents.game_dev_agent.tools import read_file_tool, execute_project_plan_tool from src.utils.command_utils import CommandUtils from src.agents.game_dev_agent.tool_helpers import execute_plan -from src.data_models.schemas import ProjectPlan, ErrorFiles -from configs import WORKSPACE_DIR, MIN_NODE, PACKAGE_MANAGER, prompt_template +from src.data_models.schemas import ProjectPlan, ErrorFiles, UpdatedCode +from configs import WORKSPACE_DIR, TEMPLATE_DIR, MIN_NODE, PACKAGE_MANAGER, prompt_template, sample_prompt, fixer_prompt, improver_prompt, INSTRUCTIONS, summarizer_prompt +from prompt_store import PromptStore +from src.agents.game_dev_agent.codeEmbedding import CodeEmbeddings + +MONGO_URI = "mongodb+srv://lahiruprabhath099:qYVDTCA22Mds96KV@cluster1.diq5rte.mongodb.net/?retryWrites=true&w=majority&appName=Cluster1&tlsAllowInvalidCertificates=true" +store = PromptStore(MONGO_URI, db_name="GameOnAI", collection_name="prompts") + print(f"workspace_inside_nodes : {WORKSPACE_DIR}") command_utils = CommandUtils(workspace=WORKSPACE_DIR, min_node=MIN_NODE, package_manager=PACKAGE_MANAGER) + @tool("execute_project_plan") def execute_project_plan_tool(plan: Dict) -> Dict: """ @@ -79,15 +87,39 @@ def run_script_tool(script: str) -> Dict: print(f"Build failed because of python Error : {e}") raise +def summarizer(state : BuildState): + print("Graph running started" ) + llm = ChatAnthropic(model="claude-sonnet-4-20250514", temperature=0.1, api_key=ANTHROPIC_API_KEY, max_tokens_to_sample=32000) + structured_llm = llm.with_structured_output(Summarize) + formatted_prompt = summarizer_prompt.format(user_query = state.get("requirements")) + response : Summarize = structured_llm.invoke([HumanMessage(content=formatted_prompt)]) + response = response.model_dump() + print(response) + return { + "game_name" : response["game_name"], + "summary" : response["summarized_text"] + } def get_project_plan(requirements: str): """Get a project plan from LLM.""" print("🤖 Getting project plan from LLM...") try: + sub_comm_utils = CommandUtils(workspace=Path(os.path.join(os.getcwd(), "templates/workspace")), min_node=MIN_NODE, package_manager=PACKAGE_MANAGER) + + if os.path.exists(os.path.join(os.getcwd(), 'workspace')): + shutil.rmtree(os.path.join(os.getcwd(), 'workspace')) + + print("Removing workspace !") + + main_page = sub_comm_utils.read_file('app/page.tsx') + command_utils.move_file(TEMPLATE_DIR, os.path.join(os.getcwd() , 'workspace')) + + command_utils.remove_file(path = "app/page.tsx") + llm = ChatAnthropic(model="claude-sonnet-4-20250514", temperature=0.1, api_key=ANTHROPIC_API_KEY, max_tokens_to_sample=32000) structured_llm = llm.with_structured_output(ProjectPlan) - formatted_prompt = prompt_template.format(requirements=requirements) + formatted_prompt = sample_prompt.format(requirements=requirements, main_page=main_page) response = llm.invoke([HumanMessage(content=formatted_prompt)]) raw = response.content # from llm.invoke(...) parsed_json = extract_json_object(raw) @@ -120,8 +152,8 @@ def extract_json_object(text: str) -> dict: def plan_node(state: BuildState): """Call LLM once, fill state with the plan, and enqueue a tool call.""" - - plan_obj = get_project_plan(state["requirements"]) + print(f"round {state["n_rounds"]}") + plan_obj = get_project_plan(state["summary"]) if plan_obj is None: @@ -218,44 +250,31 @@ def build_tool_node(state: BuildState): def error_analyzer(state: BuildState): - prompt = """You are a senior Next.js/TypeScript game devoper and a code reviewer. You are provided npm build output error log. - Your goal is to find out the root cause and find the list of files cause to the error. - - error log : {error} - - you are provided the folder structure as additional context. This is just to refer, Do not rely on this. Most important thing is the files mention in the error log - - folder structure: {files} - - Important : Use your code error investigation ability to select only the files which are cause to the build error. It may be a type defenition error, import error, etc - do not consider any warnings as errors. skip them. - - provide the file path exact correctly. the root folder name is "workspace". Your path should be relative part to workspace folder - - example: if the error log mention the error is in the "../workspace/src/app/page.tsx" your path should be "scr/app/page.tsx" - - Return a JSON object with this exact structure. - {{"is_error" : "boolean or " - "root_cause" : Explained reason for the build error. also suggest some fixes", - "files" : ["list ,of , files , cause , to , the , error"]}} - - Note : if no errors and there are only warnings, return is_error as false. no need to pass root cause and files, in that kind of scenario - returns only the files cause to the build error.""" + prompt = store.get_prompt("error_analyzer_prompt") llm = ChatAnthropic(model="claude-3-5-sonnet-20241022", temperature=0.1, api_key=ANTHROPIC_API_KEY, max_tokens_to_sample=8192) structured_llm = llm.with_structured_output(ErrorFiles) print(f" Build output : {state.get("build_output")}") formatted_prompt = prompt.format(error=state.get("build_output"), files = state.get("files")) - response = structured_llm.invoke([HumanMessage(content=formatted_prompt)]) + response : ErrorFiles = structured_llm.invoke([HumanMessage(content=formatted_prompt)]) response = response.model_dump() + if not response["is_error"] : + state["n_rounds"] += 1 + state["build_ok"] = True + state["fix_attempts"] = 0 + + print(f"Build is completed successfully") + print(state["messages"]) + return { "is_error" : response["is_error"], "error_files" : response["files"], - "root_cause" : response["root_cause"] + "root_cause" : response["root_cause"], + "n_rounds" : state["n_rounds"], + "fix_attempts" : state["fix_attempts"] } - def code_fixer(state: BuildState): """ @@ -268,48 +287,13 @@ def code_fixer(state: BuildState): "fix_plan": None, "messages": state.get("messages", []) + [AIMessage(content="No build output to diagnose.")], } - prompt_template = """YYou are a senior Next.js/TypeScript developer and code reviewer. Given npm build error logs, analyze the provided code files and generate a precise fix plan. - - BUILD ERROR: {error} - ROOT CAUSE: {root_cause} - CURRENT CODE: {current_code} - - ANALYSIS REQUIREMENTS: - 1. Identify the exact TypeScript/Next.js compilation error - 2. Locate the specific line(s) causing the build failure - 3. Determine the minimal code changes needed to resolve the error - 4. Ensure compatibility with Next.js App Router, TypeScript, and Tailwind CSS - - FIX CONSTRAINTS: - - Target: Next.js App Router + TypeScript + Tailwind CSS - - Focus ONLY on build-breaking errors (ignore warnings) - - Provide complete file contents for any modified files - - Ensure TypeScript type safety and Next.js routing compatibility - - Verify Tailwind CSS classes are valid and properly applied - - Use only: "write_file", "install_package", "remove_file" - - OUTPUT FORMAT - Return ONLY valid JSON: - {{ - "summary": "Brief description of the build error and fix", - "actions": [ - {{"tool": "write_file", "args": {{"path": "file/path", "content": "COMPLETE rewritten file content with fix"}}}}, - {{"tool": "install_package", "args": {{"name": "package-name", "dev": boolean}}}}, - {{"tool": "remove_file", "args": {{"path": "file/path"}}}} - ] - }} - - CRITICAL: - - Include FULL file content in "content" field - - Fix must resolve the specific build error - - Maintain existing functionality while fixing the error - - No explanations outside the JSON structure - """ + prompt_template = store.get_prompt("code_fixer_prompt") try: llm = ChatAnthropic( model="claude-sonnet-4-20250514", temperature=0.1, api_key=ANTHROPIC_API_KEY, - max_tokens_to_sample=8192, + max_tokens_to_sample=24000, ) structured_llm = llm.with_structured_output(FixPlan) @@ -324,7 +308,7 @@ def code_fixer(state: BuildState): errro_codes = "\n\n".join(code_list) - formatted_prompt = prompt_template.format(error=state.get("build_output",""), root_cause = state.get("root_cause"), current_code=errro_codes) + formatted_prompt = fixer_prompt.format(error=state.get("build_output",""), root_cause = state.get("root_cause"), current_code=errro_codes) fixer_response : FixPlan = structured_llm.invoke([HumanMessage(content=formatted_prompt)]) print(f"fixing plan : {fixer_response}") return fixer_response @@ -385,8 +369,105 @@ def apply_fix_actions_node(state: BuildState): "fix_attempts" : state.get("fix_attempts") + 1 } + +def code_retriever(state: BuildState, score_threshold=0.3): + + embedder = CodeEmbeddings() + chunk_count = embedder.populate_workspace(WORKSPACE_DIR) + print(f"Working on changes !") + + retrieved_files = [] + for message in reversed(state["messages"]): + + if isinstance(message, HumanMessage): + + results = embedder.search(query=message.content) + print(f"files before filter : {results}") + + unique_files = embedder.get_uniques(results) + + for i, result in enumerate(unique_files): + print(f"files_after_filtered : \n{result}") + if result["score"] > score_threshold: + + file = result['file_path'] + score = result['score'] + data = command_utils.read_file(file_path=file) + + chunk = {"file_path" : file, + "score" : score, + "content" : data + } + + retrieved_files.append(chunk) + print(f"retrieved_files : {retrieved_files}") + return {"retrieved_files": retrieved_files} + + + return {"messages" : AIMessage( + content="No human message found.") + } + + def enhancement_node(state: BuildState): - print("enhancing the code") - return {"enhanced": True, - "enhanced_attempt" : state.get("")} + print("calling enhancement node !") + for message in reversed(state["messages"]): + if isinstance(message, HumanMessage): + change_request = message.content + if not change_request : + raise "No human messages found !" + retrieved_files = state.get("retrieved_files") + target_codes = " " + for chunk in retrieved_files: + + code = f'\n\n{chunk["file_path"]}' + f"\n{chunk["content"]}" + target_codes = target_codes + code + + try: + llm = ChatAnthropic( + model="claude-sonnet-4-20250514", + temperature=0.1, + api_key=ANTHROPIC_API_KEY, + max_tokens_to_sample=24000, + ) + + structured_llm = llm.with_structured_output(UpdatedCode) + + + formatted_prompt = improver_prompt.format(instructions=INSTRUCTIONS, requirement = change_request, codes = target_codes) + changed_response : UpdatedCode = structured_llm.invoke([HumanMessage(content=formatted_prompt)]) + response = changed_response.model_dump() + msg = apply_changes(response) + print(msg) + return { + "messages": AIMessage( + content=f"re-building the project.", + tool_calls=[{ + "name": "run_script", + "args": {"script" : "build"}, + "id": "call-1", + }], + ), + } + + except Exception as e: + print(f"❌ Error updating code: {str(e)}") + import traceback + traceback.print_exc() + return None + + +def apply_changes(response :Dict ): + try : + + print(f"Changes : {response}") + for change in response["changes"]: + file_path = change["file_path"] + content = change["content"] + command_utils.create_file(path=file_path , content=content) + return "Successfully updated the codes" + except Exception as e: + import traceback + traceback.print_exc() + return f"❌ Error writing to workspace: {str(e)}" diff --git a/app/src/agents/game_dev_agent/tool_helpers.py b/app/src/agents/game_dev_agent/tool_helpers.py index 904bbb8..e0ae0d2 100644 --- a/app/src/agents/game_dev_agent/tool_helpers.py +++ b/app/src/agents/game_dev_agent/tool_helpers.py @@ -21,8 +21,8 @@ def execute_plan(plan: ProjectPlan): print("🎯 Executing project plan...") try: - if not command_utils.initialize_nextjs_project(): - return False + # if not command_utils.initialize_nextjs_project(): + # return False print("\n📁 Creating directories...") for directory in plan.directories: command_utils.create_directory(directory) @@ -36,10 +36,7 @@ def execute_plan(plan: ProjectPlan): for file_info in plan.files: command_utils.create_file(file_info.path, file_info.content) - env_example_path = WORKSPACE_DIR / '.env.example' - if env_example_path.exists(): - post_processing() - print("\n✅ Created .env file successfully!") + print("\n✅ Project plan executed successfully!") return True diff --git a/app/src/data_models/schemas.py b/app/src/data_models/schemas.py index 6dd7a3b..b649d48 100644 --- a/app/src/data_models/schemas.py +++ b/app/src/data_models/schemas.py @@ -31,7 +31,6 @@ class FixAction(BaseModel): class FixPlan(BaseModel): summary: str - files: List[str] = Field(default_factory=list) actions: List[FixAction] = Field(default_factory=list) class ErrorFiles(BaseModel): @@ -39,11 +38,29 @@ class ErrorFiles(BaseModel): root_cause : str = Field(default = "", description="root cause for the error" ) files : list[str] = Field(default = [], description="files supposed to be fixed") +class CodeChunks(BaseModel) : + file_name : str = Field(description="retrieved file name") + score : float = Field(description="similarity score") + content : str = Field(description="File Content") + +class ChangedContent(BaseModel) : + file_path : str + content : str + +class UpdatedCode(BaseModel) : + changes : List[ChangedContent] + description : str + +class Summarize(BaseModel): + summarized_text : str + game_name : str class BuildState(TypedDict): - + + n_rounds : str requirements: str - + summary : str + game_name : str description: str development_plan: str directories: List[str] @@ -63,8 +80,8 @@ class BuildState(TypedDict): fix_actions_result: Optional[List[Dict[str, Any]]] fix_attempts: Optional[int] - enhanced : Optional[bool] - enhanced_attempt : Optional[int] + retrieved_files : Optional[List[CodeChunks]] + diff --git a/app/src/utils/command_utils.py b/app/src/utils/command_utils.py index a79da84..a51a885 100644 --- a/app/src/utils/command_utils.py +++ b/app/src/utils/command_utils.py @@ -38,64 +38,20 @@ def run_command(self, cmd, cwd=None): return result.stdout, result.stderr except subprocess.CalledProcessError as e: return e.stdout, e.stderr + + def move_file(self, source_path, destination_path): + try: + shutil.copytree(source_path, destination_path) + print(f"Successfully copied workspace folder from {source_path} to {destination_path}") + except FileExistsError: + print("Destination folder already exists. Use shutil.copytree with dirs_exist_ok=True to overwrite:") + shutil.copytree(source_path, destination_path, dirs_exist_ok=True) + print("Folder copied with overwrite") + except FileNotFoundError: + print(f"Source folder not found at {source_path}") + except Exception as e: + print(f"An error occurred: {e}") - def setup_tailwind_config(self): - """Setup Tailwind config with proper content paths.""" - config_content = '''/** @type {import('tailwindcss').Config} */ - module.exports = { - content: [ - './src/pages/**/*.{js,ts,jsx,tsx,mdx}', - './src/components/**/*.{js,ts,jsx,tsx,mdx}', - './src/app/**/*.{js,ts,jsx,tsx,mdx}', - ], - theme: { - extend: { - colors: { - background: "var(--background)", - foreground: "var(--foreground)", - }, - }, - }, - plugins: [], - }''' - - - self.create_file("tailwind.config.js", content=config_content) - print("📝 Created tailwind.config.js") - - def setup_globals_css(self): - """Setup globals.css with Tailwind directives.""" - css_content = '''@tailwind base; - @tailwind components; - @tailwind utilities; - - :root { - --background: #ffffff; - --foreground: #171717; - } - - @media (prefers-color-scheme: dark) { - :root { - --background: #0a0a0a; - --foreground: #ededed; - } - } - - body { - color: var(--foreground); - background: var(--background); - font-family: Arial, Helvetica, sans-serif; - } - - @layer utilities { - .text-balance { - text-wrap: balance; - } - }''' - - css_path = "app/globals.css" - self.create_file(css_path,css_content) - print("📝 Updated app/globals.css with Tailwind directives") def initialize_nextjs_project(self): """Initialize a clean Next.js project with TypeScript and Tailwind CSS v3 (stable).""" print("🔧 Initializing Next.js project...") @@ -123,7 +79,7 @@ def initialize_nextjs_project(self): "npx", "create-next-app@latest", ".", "--typescript", "--eslint", "--app", "--import-alias", "@/*", - pm_flag, "--yes" + pm_flag ,"--yes", ] print("🚀 Running create-next-app...") @@ -141,11 +97,7 @@ def initialize_nextjs_project(self): print("⚙️ Initializing Tailwind configuration...") self.run_command(["npx", "tailwindcss", "init", "-p"], cwd=str(self.workspace)) - - self.setup_tailwind_config() - - - self.setup_globals_css() + print("✅ Next.js + Tailwind CSS v3 initialized successfully!") print("📝 Tailwind CSS is configured with:") @@ -209,6 +161,7 @@ def read_file(self, file_path: str) -> str: """Read and return the content of a file inside the workspace.""" print(f"📖 Reading file: {file_path}") full_path = self.workspace / file_path + print("full path : {}") if not full_path.exists(): raise FileNotFoundError(f"File not found: {file_path}") with open(full_path, 'r', encoding='utf-8') as f: diff --git a/app/src/utils/deploy.py b/app/src/utils/deploy.py new file mode 100644 index 0000000..524ab8a --- /dev/null +++ b/app/src/utils/deploy.py @@ -0,0 +1,65 @@ +import os +from src.utils.command_utils import CommandUtils +from configs import WORKSPACE_DIR, MIN_NODE, PACKAGE_MANAGER + +command_utils = CommandUtils(workspace=WORKSPACE_DIR, min_node=MIN_NODE, package_manager=PACKAGE_MANAGER) +def push_workspace_to_github(branch_name, repo_url=None, commit_message="Add workspace files"): + """ + Push workspace folder to GitHub on a new branch + + Args: + branch_name: Name of the branch to create + repo_url: GitHub repository URL (optional if already configured) + commit_message: Commit message for the changes + """ + workspace_path = os.path.join(os.getcwd(), "workspace") + + if not os.path.exists(workspace_path): + print("Error: workspace folder not found") + return False + + try: + # Change to workspace directory + os.chdir(workspace_path) + + # Initialize git if not already initialized + stdout, stderr = command_utils.run_command(["git", "status"], cwd=workspace_path) + if "not a git repository" in stderr: + print("Initializing git repository...") + command_utils.run_command(["git", "init"], cwd=workspace_path) + + # Add remote if repo_url is provided + if repo_url: + command_utils.run_command(["git", "remote", "add", "origin", repo_url], cwd=workspace_path) + + # Create and checkout new branch + print(f"Creating and switching to branch: {branch_name}") + command_utils.run_command(["git", "checkout", "-b", branch_name], cwd=workspace_path) + + # Add all files + print("Adding all files...") + command_utils.run_command(["git", "add", "."], cwd=workspace_path) + + # Commit changes + print("Committing changes...") + command_utils.run_command(["git", "commit", "-m", commit_message], cwd=workspace_path) + + # Push to GitHub + print(f"Pushing to GitHub on branch {branch_name}...") + stdout, stderr = command_utils.run_command(["git", "push", "-u", "origin", branch_name], cwd=workspace_path) + + if stderr and "error" in stderr.lower(): + print(f"Push failed: {stderr}") + return False + else: + print(f"Successfully pushed workspace to GitHub on branch {branch_name}") + return True + + except Exception as e: + print(f"Error: {e}") + return False + finally: + # Go back to original directory + os.chdir(os.path.dirname(workspace_path)) + + diff --git a/app/templates/.DS_Store b/app/templates/.DS_Store new file mode 100644 index 0000000..265fa1a Binary files /dev/null and b/app/templates/.DS_Store differ diff --git a/app/templates/workspace/.gitignore b/app/templates/workspace/.gitignore new file mode 100644 index 0000000..5ef6a52 --- /dev/null +++ b/app/templates/workspace/.gitignore @@ -0,0 +1,41 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/app/templates/workspace/README.md b/app/templates/workspace/README.md new file mode 100644 index 0000000..e215bc4 --- /dev/null +++ b/app/templates/workspace/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/app/templates/workspace/app/api/createRoom/route.ts b/app/templates/workspace/app/api/createRoom/route.ts new file mode 100644 index 0000000..0ce3a67 --- /dev/null +++ b/app/templates/workspace/app/api/createRoom/route.ts @@ -0,0 +1,68 @@ +import { type NextRequest, NextResponse } from "next/server" +import dbConnect from "@/lib/mongodb" +import Room from "@/lib/models/Room" + +interface Player { + name: string; + uuid: string; + profileImage: string; +} + +interface CreateRoomRequest { + room: { + gameSessionUuid: string; + }; + players: Player[]; +} + +export async function POST(request: NextRequest) { + try { + await dbConnect() + + const body: CreateRoomRequest = await request.json() + const { room, players } = body + + const gameStateId = Math.random().toString(36).substring(2, 15) + Math.random().toString(36).substring(2, 15) + + const newRoom = new Room({ + gameSessionUuid: room.gameSessionUuid, + players: players.map((player: Player) => ({ + name: player.name, + uuid: player.uuid, + profileImage: player.profileImage, + ready: false, + winState: "DEFEATED", + })), + currentTurn: players[0].uuid, + }) + + await newRoom.save() + + const baseUrl = process.env.NODE_ENV === "production" ? "https://your-domain.com" : "http://localhost:3000" + + const link1 = `${baseUrl}/?gameSessionUuid=${room.gameSessionUuid}&gameStateId=${gameStateId}&uuid=${players[0].uuid}` + const link2 = `${baseUrl}/?gameSessionUuid=${room.gameSessionUuid}&gameStateId=${gameStateId}&uuid=${players[1].uuid}` + + return NextResponse.json({ + status: true, + message: "success", + payload: { + gameSessionUuid: room.gameSessionUuid, + gameStateId: gameStateId, + createDate: newRoom.createdDate.toISOString(), + link1: link1, + link2: link2, + }, + }) + } catch (error) { + console.error("Error creating room:", error) + return NextResponse.json( + { + status: false, + message: "Error creating room", + error: error instanceof Error ? error.message : "Unknown error", + }, + { status: 500 }, + ) + } +} \ No newline at end of file diff --git a/app/templates/workspace/app/api/get-room/route.ts b/app/templates/workspace/app/api/get-room/route.ts new file mode 100644 index 0000000..89711e0 --- /dev/null +++ b/app/templates/workspace/app/api/get-room/route.ts @@ -0,0 +1,50 @@ +import { type NextRequest, NextResponse } from "next/server" +import dbConnect from "@/lib/mongodb" +import Room from "@/lib/models/Room" + +export async function GET(request: NextRequest) { + try { + await dbConnect() + + const { searchParams } = new URL(request.url) + const gameSessionUuid = searchParams.get("gameSessionUuid") + + if (!gameSessionUuid) { + return NextResponse.json( + { + status: false, + message: "gameSessionUuid is required", + }, + { status: 400 }, + ) + } + + const room = await Room.findOne({ gameSessionUuid }) + + if (!room) { + return NextResponse.json( + { + status: false, + message: "Room not found", + }, + { status: 404 }, + ) + } + + return NextResponse.json({ + status: true, + message: "success", + payload: room, + }) + } catch (error) { + console.error("Error fetching room:", error) + return NextResponse.json( + { + status: false, + message: "Error fetching room", + error: error instanceof Error ? error.message : "Unknown error", + }, + { status: 500 }, + ) + } +} diff --git a/app/templates/workspace/app/api/getRoom/route.ts b/app/templates/workspace/app/api/getRoom/route.ts new file mode 100644 index 0000000..89711e0 --- /dev/null +++ b/app/templates/workspace/app/api/getRoom/route.ts @@ -0,0 +1,50 @@ +import { type NextRequest, NextResponse } from "next/server" +import dbConnect from "@/lib/mongodb" +import Room from "@/lib/models/Room" + +export async function GET(request: NextRequest) { + try { + await dbConnect() + + const { searchParams } = new URL(request.url) + const gameSessionUuid = searchParams.get("gameSessionUuid") + + if (!gameSessionUuid) { + return NextResponse.json( + { + status: false, + message: "gameSessionUuid is required", + }, + { status: 400 }, + ) + } + + const room = await Room.findOne({ gameSessionUuid }) + + if (!room) { + return NextResponse.json( + { + status: false, + message: "Room not found", + }, + { status: 404 }, + ) + } + + return NextResponse.json({ + status: true, + message: "success", + payload: room, + }) + } catch (error) { + console.error("Error fetching room:", error) + return NextResponse.json( + { + status: false, + message: "Error fetching room", + error: error instanceof Error ? error.message : "Unknown error", + }, + { status: 500 }, + ) + } +} diff --git a/app/templates/workspace/app/api/send-winner/route.ts b/app/templates/workspace/app/api/send-winner/route.ts new file mode 100644 index 0000000..10f4b47 --- /dev/null +++ b/app/templates/workspace/app/api/send-winner/route.ts @@ -0,0 +1,96 @@ +import { type NextRequest, NextResponse } from "next/server" +import dbConnect from "@/lib/mongodb" +import Room from "@/lib/models/Room" + +const GAMEON_BACKEND_URL = process.env.GAMEON_BACKEND_URL || "https://your-backend-url.com" + +interface Player { + uuid: string; + name: string; + profileImage: string; + ready: boolean; + winState: string; +} + +interface SendWinnerRequest { + gameSessionUuid: string; + winner: string; +} + +export async function POST(request: NextRequest) { + try { + await dbConnect() + + const body: SendWinnerRequest = await request.json() + const { gameSessionUuid, winner } = body + + const room = await Room.findOne({ gameSessionUuid }) + + if (!room) { + return NextResponse.json( + { + status: false, + message: "Room not found", + }, + { status: 404 }, + ) + } + + room.gameStatus = "FINISHED" + room.winner = winner + room.players = room.players.map((player: Player) => ({ + ...player, + winState: player.uuid === winner ? "WON" : "DEFEATED", + })) + + await room.save() + + const payload = { + gameSessionUuid, + gameStatus: room.gameStatus, + players: room.players.map((player: Player) => ({ + uuid: player.uuid, + points: player.uuid === winner ? 100 : 0, + userGameSessionStatus: player.winState, + })), + } + + try { + const response = await fetch(`${GAMEON_BACKEND_URL}/api/external_game/v1/game_session_finish`, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify(payload), + }) + + const result = await response.json() + + return NextResponse.json({ + status: true, + message: "Winner data sent successfully", + externalResponse: result, + }) + } catch (externalError) { + console.error("Error sending to external API:", externalError) + return NextResponse.json( + { + status: false, + message: "Error sending winner data to external API", + error: externalError instanceof Error ? externalError.message : "Unknown error", + }, + { status: 500 }, + ) + } + } catch (error) { + console.error("Error processing winner:", error) + return NextResponse.json( + { + status: false, + message: "Error processing winner", + error: error instanceof Error ? error.message : "Unknown error", + }, + { status: 500 }, + ) + } +} \ No newline at end of file diff --git a/app/templates/workspace/app/favicon.ico b/app/templates/workspace/app/favicon.ico new file mode 100644 index 0000000..718d6fe Binary files /dev/null and b/app/templates/workspace/app/favicon.ico differ diff --git a/app/templates/workspace/app/globals.css b/app/templates/workspace/app/globals.css new file mode 100644 index 0000000..1508dd8 --- /dev/null +++ b/app/templates/workspace/app/globals.css @@ -0,0 +1,13 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +/* Minimal, safe base styles (no custom tokens needed) */ +@layer base { + html, body { + height: 100%; + } + body { + @apply bg-white text-gray-900 antialiased; + } +} diff --git a/app/templates/workspace/app/layout.tsx b/app/templates/workspace/app/layout.tsx new file mode 100644 index 0000000..42fc323 --- /dev/null +++ b/app/templates/workspace/app/layout.tsx @@ -0,0 +1,32 @@ +import type { Metadata } from "next"; +import { Geist, Geist_Mono } from "next/font/google"; +import "./globals.css"; + +const geistSans = Geist({ + variable: "--font-geist-sans", + subsets: ["latin"], +}); + +const geistMono = Geist_Mono({ + variable: "--font-geist-mono", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Create Next App", + description: "Generated by create next app", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + {children} + + + ); +} diff --git a/app/templates/workspace/app/page.module.css b/app/templates/workspace/app/page.module.css new file mode 100644 index 0000000..58c71af --- /dev/null +++ b/app/templates/workspace/app/page.module.css @@ -0,0 +1,167 @@ +.page { + --gray-rgb: 0, 0, 0; + --gray-alpha-200: rgba(var(--gray-rgb), 0.08); + --gray-alpha-100: rgba(var(--gray-rgb), 0.05); + + --button-primary-hover: #383838; + --button-secondary-hover: #f2f2f2; + + display: grid; + grid-template-rows: 20px 1fr 20px; + align-items: center; + justify-items: center; + min-height: 100svh; + padding: 80px; + gap: 64px; + font-family: var(--font-geist-sans); +} + +@media (prefers-color-scheme: dark) { + .page { + --gray-rgb: 255, 255, 255; + --gray-alpha-200: rgba(var(--gray-rgb), 0.145); + --gray-alpha-100: rgba(var(--gray-rgb), 0.06); + + --button-primary-hover: #ccc; + --button-secondary-hover: #1a1a1a; + } +} + +.main { + display: flex; + flex-direction: column; + gap: 32px; + grid-row-start: 2; +} + +.main ol { + font-family: var(--font-geist-mono); + padding-left: 0; + margin: 0; + font-size: 14px; + line-height: 24px; + letter-spacing: -0.01em; + list-style-position: inside; +} + +.main li:not(:last-of-type) { + margin-bottom: 8px; +} + +.main code { + font-family: inherit; + background: var(--gray-alpha-100); + padding: 2px 4px; + border-radius: 4px; + font-weight: 600; +} + +.ctas { + display: flex; + gap: 16px; +} + +.ctas a { + appearance: none; + border-radius: 128px; + height: 48px; + padding: 0 20px; + border: 1px solid transparent; + transition: + background 0.2s, + color 0.2s, + border-color 0.2s; + cursor: pointer; + display: flex; + align-items: center; + justify-content: center; + font-size: 16px; + line-height: 20px; + font-weight: 500; +} + +a.primary { + background: var(--foreground); + color: var(--background); + gap: 8px; +} + +a.secondary { + border-color: var(--gray-alpha-200); + min-width: 158px; +} + +.footer { + grid-row-start: 3; + display: flex; + gap: 24px; +} + +.footer a { + display: flex; + align-items: center; + gap: 8px; +} + +.footer img { + flex-shrink: 0; +} + +/* Enable hover only on non-touch devices */ +@media (hover: hover) and (pointer: fine) { + a.primary:hover { + background: var(--button-primary-hover); + border-color: transparent; + } + + a.secondary:hover { + background: var(--button-secondary-hover); + border-color: transparent; + } + + .footer a:hover { + text-decoration: underline; + text-underline-offset: 4px; + } +} + +@media (max-width: 600px) { + .page { + padding: 32px; + padding-bottom: 80px; + } + + .main { + align-items: center; + } + + .main ol { + text-align: center; + } + + .ctas { + flex-direction: column; + } + + .ctas a { + font-size: 14px; + height: 40px; + padding: 0 16px; + } + + a.secondary { + min-width: auto; + } + + .footer { + flex-wrap: wrap; + align-items: center; + justify-content: center; + } +} + +@media (prefers-color-scheme: dark) { + .logo { + filter: invert(); + } +} diff --git a/app/templates/workspace/app/page.tsx b/app/templates/workspace/app/page.tsx new file mode 100644 index 0000000..7ab1d82 --- /dev/null +++ b/app/templates/workspace/app/page.tsx @@ -0,0 +1,350 @@ +"use client" + +import { useState, useEffect, useRef } from "react" +import { useSearchParams } from "next/navigation" +import { io, Socket } from "socket.io-client" + +export default function Game() { + const searchParams = useSearchParams() + const [board, setBoard] = useState<(string | null)[]>(Array(9).fill(null)) + const [currentTurn, setCurrentTurn] = useState("") + const [winner, setWinner] = useState(null) + const [room, setRoom] = useState(null) + const [currentPlayer, setCurrentPlayer] = useState(null) + const [opponent, setOpponent] = useState(null) + const [loading, setLoading] = useState(true) + const [gameOver, setGameOver] = useState(false) + const [connectionStatus, setConnectionStatus] = useState("Connecting...") + const socketRef = useRef(null) + + const gameSessionUuid = searchParams?.get("gameSessionUuid") + const playerUuid = searchParams?.get("uuid") + + useEffect(() => { + if (gameSessionUuid && playerUuid) { + initializeGame() + } + }, [gameSessionUuid, playerUuid]) + + useEffect(() => { + if (gameSessionUuid && playerUuid) { + const socket = io({ + path: "/api/socket", + }) + socketRef.current = socket + + socket.on("connect", () => { + setConnectionStatus("Connected") + socket.emit("join-game", { gameSessionUuid, playerUuid }) + }) + + socket.on("player-joined", ({ playerUuid: joinedPlayerUuid }) => { + console.log(`Player joined: ${joinedPlayerUuid}`) + if (!opponent) { + initializeGame() + } + }) + + socket.on("move-made", ({ playerUuid: movePlayer, position, gameBoard, currentTurn }) => { + setBoard(gameBoard) + setCurrentTurn(currentTurn) + const calculatedWinner = calculateWinner(gameBoard) + if (calculatedWinner) { + setWinner(calculatedWinner) + setGameOver(true) + } else if (gameBoard.every((square: string | null) => square !== null)) { + setGameOver(true) + } + }) + + socket.on("game-ended", ({ winner }) => { + setWinner(winner) + setGameOver(true) + }) + + socket.on("disconnect", () => { + setConnectionStatus("Disconnected") + }) + + socket.on("connect_error", () => { + setConnectionStatus("Connection Error") + }) + + return () => { + socket.disconnect() + socketRef.current = null + } + } + }, [gameSessionUuid, playerUuid]) // Removed opponent from deps to prevent reconnections + + const initializeGame = async () => { + try { + const response = await fetch(`/api/get-room?gameSessionUuid=${gameSessionUuid}`) + const data = await response.json() + + if (data.status && data.payload) { + setRoom(data.payload) + setBoard(data.payload.gameBoard || Array(9).fill(null)) + setCurrentTurn(data.payload.currentTurn) + setWinner(data.payload.winner) + + const current = data.payload.players.find((p: any) => p.uuid === playerUuid) + const opp = data.payload.players.find((p: any) => p.uuid !== playerUuid) + + setCurrentPlayer(current || null) + setOpponent(opp || null) + + if (data.payload.winner || data.payload.gameBoard?.every((square: string | null) => square !== null)) { + setGameOver(true) + } + } + setLoading(false) + } catch (error) { + console.error("Error fetching room data:", error) + setLoading(false) + setConnectionStatus("Connection Error") + } + } + + const calculateWinner = (squares: (string | null)[]) => { + const lines = [ + [0, 1, 2], + [3, 4, 5], + [6, 7, 8], + [0, 3, 6], + [1, 4, 7], + [2, 5, 8], + [0, 4, 8], + [2, 4, 6], + ] + + for (let i = 0; i < lines.length; i++) { + const [a, b, c] = lines[i] + if (squares[a] && squares[a] === squares[b] && squares[a] === squares[c]) { + return squares[a] + } + } + return null + } + + const handleClick = (i: number) => { + if (calculateWinner(board) || board[i] || gameOver || currentTurn !== playerUuid || !socketRef.current?.connected) { + return + } + + const symbol = room.players[0].uuid === playerUuid ? "X" : "O" + const newBoard = [...board] + newBoard[i] = symbol + const newCurrentTurn = opponent.uuid // Switch to opponent + + setBoard(newBoard) + setCurrentTurn(newCurrentTurn) + + socketRef.current?.emit("make-move", { + gameSessionUuid, + playerUuid, + position: i, + gameBoard: newBoard, + currentTurn: newCurrentTurn, + }) + + const gameWinner = calculateWinner(newBoard) + if (gameWinner) { + const winnerPlayer = gameWinner === "X" ? room.players[0] : room.players[1] + setWinner(gameWinner) + setGameOver(true) + + sendWinnerData(winnerPlayer.uuid) + + socketRef.current?.emit("game-won", { gameSessionUuid, winner: gameWinner }) + } else if (newBoard.every((square: string | null) => square !== null)) { + setGameOver(true) + socketRef.current?.emit("game-won", { gameSessionUuid, winner: null }) + } + } + + const sendWinnerData = async (winnerUuid: string) => { + try { + const response = await fetch("/api/send-winner", { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify({ + gameSessionUuid, + winner: winnerUuid, + }), + }) + + const result = await response.json() + console.log("Winner data sent:", result) + } catch (error) { + console.error("Error sending winner data:", error) + } + } + + if (loading) { + return ( +
+
+
Loading game...
+
{connectionStatus}
+
+
+ ) + } + + if (!room || !currentPlayer || !opponent) { + return ( +
+
Error: Could not load game data
+
+ ) + } + + const gameWinner = calculateWinner(board) + const isDraw = !gameWinner && board.every((square) => square !== null) + const isMyTurn = currentTurn === playerUuid + + let status + if (gameWinner) { + const winnerPlayer = gameWinner === "X" ? room.players[0] : room.players[1] + status = `🎉 Winner: ${winnerPlayer.name}!` + } else if (isDraw) { + status = "🤝 Game Draw!" + } else { + const currentPlayerName = room.players.find((p: any) => p.uuid === currentTurn)?.name + status = isMyTurn ? "🎯 Your Turn!" : `⏳ Waiting for ${currentPlayerName}...` + } + + return ( +
+
+

🎮 Multiplayer Tic-Tac-Toe

+ + {/* Connection Status */} +
+
+ {connectionStatus} +
+
+ + {/* Players Info */} +
+
+
+ {room.players[0].name} + {currentTurn === room.players[0].uuid && !gameOver && ( +
+ )} +
+
+

{room.players[0].name}

+

Player X

+ {playerUuid === room.players[0].uuid &&

👤 You

} +
+
+ +
+
VS
+
Room: {gameSessionUuid?.slice(-6)}
+
+ +
+
+

{room.players[1].name}

+

Player O

+ {playerUuid === room.players[1].uuid &&

👤 You

} +
+
+ {room.players[1].name} + {currentTurn === room.players[1].uuid && !gameOver && ( +
+ )} +
+
+
+ + {/* Game Status */} +
+
{status}
+ {!gameOver && ( +
+ {isMyTurn ? "🎯 Make your move!" : "⏳ Wait for opponent..."} +
+ )} +
+ + {/* Game Board */} +
+
+
+ {[0, 1, 2, 3, 4, 5, 6, 7, 8].map((i) => ( + + ))} +
+
+
+ + {/* Game Over Actions */} + {gameOver && ( +
+
+
+ {winner ? ( + + 🎉{" "} + { + room.players.find((p: any) => (winner === "X" ? p === room.players[0] : p === room.players[1])) + ?.name + }{" "} + Wins! + + ) : ( + 🤝 It's a Draw! + )} +
+ +
+
+ )} +
+
+ ) +} \ No newline at end of file diff --git a/app/templates/workspace/eslint.config.mjs b/app/templates/workspace/eslint.config.mjs new file mode 100644 index 0000000..c85fb67 --- /dev/null +++ b/app/templates/workspace/eslint.config.mjs @@ -0,0 +1,16 @@ +import { dirname } from "path"; +import { fileURLToPath } from "url"; +import { FlatCompat } from "@eslint/eslintrc"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = dirname(__filename); + +const compat = new FlatCompat({ + baseDirectory: __dirname, +}); + +const eslintConfig = [ + ...compat.extends("next/core-web-vitals", "next/typescript"), +]; + +export default eslintConfig; diff --git a/app/templates/workspace/next.config.ts b/app/templates/workspace/next.config.ts new file mode 100644 index 0000000..e9ffa30 --- /dev/null +++ b/app/templates/workspace/next.config.ts @@ -0,0 +1,7 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + /* config options here */ +}; + +export default nextConfig; diff --git a/app/templates/workspace/package-lock.json b/app/templates/workspace/package-lock.json new file mode 100644 index 0000000..7104abd --- /dev/null +++ b/app/templates/workspace/package-lock.json @@ -0,0 +1,6988 @@ +{ + "name": "workspace", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "workspace", + "version": "0.1.0", + "dependencies": { + "mongoose": "^8.17.1", + "next": "15.4.6", + "react": "19.1.0", + "react-dom": "19.1.0", + "socket.io": "^4.8.1" + }, + "devDependencies": { + "@eslint/eslintrc": "^3", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "autoprefixer": "^10.4.21", + "eslint": "^9", + "eslint-config-next": "15.4.6", + "postcss": "^8.5.6", + "tailwindcss": "^3.4.17", + "typescript": "^5" + } + }, + "node_modules/@alloc/quick-lru": { + "version": "5.2.0", + "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", + "integrity": 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@@ +{ + "name": "workspace", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "mongoose": "^8.17.1", + "next": "15.4.6", + "react": "19.1.0", + "react-dom": "19.1.0", + "socket.io": "^4.8.1" + }, + "devDependencies": { + "@eslint/eslintrc": "^3", + "@types/node": "^20", + "@types/react": "^19", + "@types/react-dom": "^19", + "autoprefixer": "^10.4.21", + "eslint": "^9", + "eslint-config-next": "15.4.6", + "postcss": "^8.5.6", + "tailwindcss": "^3.4.17", + "typescript": "^5" + } +} diff --git a/app/templates/workspace/pages/api/socket.ts b/app/templates/workspace/pages/api/socket.ts new file mode 100644 index 0000000..7e5e231 --- /dev/null +++ b/app/templates/workspace/pages/api/socket.ts @@ -0,0 +1,53 @@ +// pages/api/socket.ts +import type { NextApiRequest, NextApiResponse } from "next"; +import type { Server as NetServer } from "http"; +import { Server as SocketIOServer } from "socket.io"; + +type Res = NextApiResponse & { + socket: NextApiResponse["socket"] & { + server: NetServer & { io?: SocketIOServer }; + }; +}; + +const gameRooms = new Map>(); + +export default function handler(req: NextApiRequest, res: Res) { + if (!res.socket.server.io) { + console.log("Setting up Socket.IO server..."); + + const io = new SocketIOServer(res.socket.server, { + path: "/api/socket", + addTrailingSlash: false, + cors: { origin: "*", methods: ["GET", "POST"] }, + }); + + io.on("connection", (socket) => { + console.log("User connected:", socket.id); + + socket.on("join-game", ({ gameSessionUuid, playerUuid }) => { + socket.join(gameSessionUuid); + if (!gameRooms.has(gameSessionUuid)) gameRooms.set(gameSessionUuid, new Set()); + gameRooms.get(gameSessionUuid)!.add(socket.id); + socket.to(gameSessionUuid).emit("player-joined", { playerUuid }); + }); + + socket.on("make-move", ({ gameSessionUuid, playerUuid, position, gameBoard, currentTurn }) => { + socket.to(gameSessionUuid).emit("move-made", { playerUuid, position, gameBoard, currentTurn }); + }); + + socket.on("game-won", ({ gameSessionUuid, winner }) => { + socket.to(gameSessionUuid).emit("game-ended", { winner }); + }); + + socket.on("disconnect", () => { + for (const [room, ids] of gameRooms.entries()) { + if (ids.delete(socket.id) && ids.size === 0) gameRooms.delete(room); + } + }); + }); + + res.socket.server.io = io; + } + + res.end("Socket.IO server is running"); +} \ No newline at end of file diff --git a/app/templates/workspace/postcss.config.js b/app/templates/workspace/postcss.config.js new file mode 100644 index 0000000..12a703d --- /dev/null +++ b/app/templates/workspace/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/app/templates/workspace/public/file.svg b/app/templates/workspace/public/file.svg new file mode 100644 index 0000000..004145c --- /dev/null +++ b/app/templates/workspace/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/app/templates/workspace/public/globe.svg b/app/templates/workspace/public/globe.svg new file mode 100644 index 0000000..567f17b --- /dev/null +++ b/app/templates/workspace/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/app/templates/workspace/public/next.svg b/app/templates/workspace/public/next.svg new file mode 100644 index 0000000..5174b28 --- /dev/null +++ b/app/templates/workspace/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/app/templates/workspace/public/vercel.svg b/app/templates/workspace/public/vercel.svg new file mode 100644 index 0000000..7705396 --- /dev/null +++ b/app/templates/workspace/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/app/templates/workspace/public/window.svg b/app/templates/workspace/public/window.svg new file mode 100644 index 0000000..b2b2a44 --- /dev/null +++ b/app/templates/workspace/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/app/templates/workspace/tailwind.config.ts b/app/templates/workspace/tailwind.config.ts new file mode 100644 index 0000000..0d2eeca --- /dev/null +++ b/app/templates/workspace/tailwind.config.ts @@ -0,0 +1,14 @@ +import type { Config } from "tailwindcss"; + +export default { + darkMode: "class", + content: [ + "./app/**/*.{js,ts,jsx,tsx,mdx}", + "./components/**/*.{js,ts,jsx,tsx,mdx}", + "./pages/**/*.{js,ts,jsx,tsx,mdx}", // keep if you also use /pages + ], + theme: { + extend: {}, + }, + plugins: [], +} satisfies Config; diff --git a/app/templates/workspace/tsconfig.json b/app/templates/workspace/tsconfig.json new file mode 100644 index 0000000..d8b9323 --- /dev/null +++ b/app/templates/workspace/tsconfig.json @@ -0,0 +1,27 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} diff --git a/app/templates/workspace/types/global.d.ts b/app/templates/workspace/types/global.d.ts new file mode 100644 index 0000000..fa0051b --- /dev/null +++ b/app/templates/workspace/types/global.d.ts @@ -0,0 +1,8 @@ +declare global { + var mongoose: { + conn: any + promise: any + } +} + +export {} diff --git a/app/test.py b/app/test.py new file mode 100644 index 0000000..ee096eb --- /dev/null +++ b/app/test.py @@ -0,0 +1,311 @@ +""" +Modern Code Vector Space - Best Practices 2024 +Uses semantic chunking and late chunking techniques with minimal code +""" + +import os +from pathlib import Path +from itertools import groupby +from typing import List, Dict +from sklearn.metrics.pairwise import cosine_similarity +import numpy as np + +from langchain.schema import Document +from langchain_community.vectorstores import FAISS +from langchain_community.embeddings import HuggingFaceEmbeddings +from langchain.text_splitter import RecursiveCharacterTextSplitter + + +class CodeEmbeddings: + def __init__(self): + # Use state-of-the-art embedding model + self.embeddings = HuggingFaceEmbeddings( + model_name="sentence-transformers/all-MiniLM-L6-v2", + model_kwargs={'device': 'cpu'} + ) + self.vectorstore = None + + def populate_workspace(self, workspace_path: str): + """Create semantic vector space from code files""" + print(f"🔍 Creating semantic vector space: {workspace_path}") + + files = self._find_files(workspace_path) + print(f"all files : {files}") + documents = [] + + for file_path in files: + chunks = self._semantic_chunk_file(file_path) + documents.extend(chunks) + + if documents: + self.vectorstore = FAISS.from_documents(documents, self.embeddings) + print(f"✅ Created vector space with {len(documents)} semantic chunks") + + return len(documents) + + def _find_files(self, workspace_path: str) -> List[str]: + """Find exactly the files you specified""" + root = Path(workspace_path) + files = [] + + for file_path in root.rglob('*'): + if not file_path.is_file(): + continue + + if any(skip in file_path.parts for skip in ['node_modules', '.git', '.next', 'dist', 'build']): + continue + + relative_path = file_path.relative_to(root) + + if (file_path.name == 'route.ts' and + 'app' in file_path.parts and 'api' in file_path.parts): + files.append(str(relative_path)) + + elif ('pages' in file_path.parts and 'api' in file_path.parts and + file_path.suffix == '.ts'): + files.append(str(relative_path)) + + elif ('app' in file_path.parts and 'components' in file_path.parts and + file_path.suffix in ['.tsx', '.css']): + files.append(str(relative_path)) + + elif ('app' in file_path.parts and 'hooks' in file_path.parts and + file_path.suffix == '.ts'): + files.append(str(relative_path)) + + elif ('app' in file_path.parts and 'types' in file_path.parts and + file_path.suffix == '.ts'): + files.append(str(relative_path)) + + elif file_path.name == 'page.tsx': + files.append(str(relative_path)) + + elif file_path.name in ['global.css', 'globals.css']: + files.append(str(relative_path)) + + print(f"Found {len(files)} target files") + print(f"Included files : {files}") + return files + def _semantic_chunk_file(self, file_path: str) -> List[Document]: + """Use semantic chunking for better code understanding""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + content = f.read() + + if file_path.endswith('.css'): + return self._chunk_css(content, file_path) + else: + return self._semantic_chunk_code(content, file_path) + + except Exception as e: + print(f"❌ Error: {file_path}: {e}") + return [] + + def _semantic_chunk_code(self, content: str, file_path: str) -> List[Document]: + """Semantic chunking for TypeScript files""" + + logical_chunks = self._extract_logical_units(content) + + if not logical_chunks: + + return self._recursive_chunk(content, file_path) + + return self._group_by_semantics(logical_chunks, file_path) + + def _extract_logical_units(self, content: str) -> List[str]: + """Extract logical code units (functions, classes, exports)""" + import re + + # Find function/class/interface boundaries + patterns = [ + # Functions + r'((?:export\s+)?(?:async\s+)?function\s+\w+[^{]*\{(?:[^{}]*\{[^{}]*\})*[^{}]*\})', + # Arrow functions + r'((?:export\s+)?const\s+\w+\s*=\s*(?:async\s+)?\([^)]*\)\s*=>\s*\{(?:[^{}]*\{[^{}]*\})*[^{}]*\})', + # Classes + r'((?:export\s+)?class\s+\w+[^{]*\{(?:[^{}]*\{[^{}]*\})*[^{}]*\})', + # Interfaces/Types + r'((?:export\s+)?(?:interface|type)\s+\w+[^;{]*(?:\{[^{}]*\}|[^;]*;))', + # Default exports + r'(export\s+default\s+[^;]+;?)', + ] + + chunks = [] + for pattern in patterns: + matches = re.findall(pattern, content, re.DOTALL | re.MULTILINE) + chunks.extend(matches) + + # Remove duplicates and filter valid chunks + unique_chunks = [] + seen = set() + for chunk in chunks: + chunk_clean = chunk.strip() + if len(chunk_clean) > 50 and chunk_clean not in seen: # Minimum size filter + unique_chunks.append(chunk_clean) + seen.add(chunk_clean) + + return unique_chunks + + def _group_by_semantics(self, chunks: List[str], file_path: str) -> List[Document]: + """Group chunks by semantic similarity""" + if len(chunks) <= 1: + return [Document( + page_content=chunks[0] if chunks else "", + metadata={'file_path': file_path, 'filename': Path(file_path).name} + )] + + # Generate embeddings for each chunk + chunk_embeddings = self.embeddings.embed_documents(chunks) + + # Calculate similarity matrix + similarity_matrix = cosine_similarity(chunk_embeddings) + + # Group similar chunks (threshold-based) + threshold = 0.7 # Adjust based on your needs + groups = self._cluster_by_similarity(similarity_matrix, threshold) + + # Create documents from groups + documents = [] + for i, group in enumerate(groups): + # Combine chunks in the same group + combined_content = '\n\n'.join([chunks[idx] for idx in group]) + + doc = Document( + page_content=combined_content, + metadata={ + 'file_path': file_path, + 'filename': Path(file_path).name, + 'chunk_group': i, + 'chunk_count': len(group) + } + ) + documents.append(doc) + + return documents + + def _cluster_by_similarity(self, similarity_matrix: np.ndarray, threshold: float) -> List[List[int]]: + """Simple clustering based on similarity threshold""" + n = similarity_matrix.shape[0] + visited = [False] * n + groups = [] + + for i in range(n): + if visited[i]: + continue + + # Start new group + group = [i] + visited[i] = True + + # Find similar chunks + for j in range(i + 1, n): + if not visited[j] and similarity_matrix[i][j] > threshold: + group.append(j) + visited[j] = True + + groups.append(group) + + return groups + + def _recursive_chunk(self, content: str, file_path: str) -> List[Document]: + """Fallback recursive chunking""" + splitter = RecursiveCharacterTextSplitter( + chunk_size=1000, + chunk_overlap=200, + separators=["\n\n", "\n", " ", ""] + ) + + chunks = splitter.split_text(content) + return [ + Document( + page_content=chunk, + metadata={ + 'file_path': file_path, + 'filename': Path(file_path).name, + 'chunk_index': i + } + ) + for i, chunk in enumerate(chunks) + ] + + def _chunk_css(self, content: str, file_path: str) -> List[Document]: + """Simple CSS chunking""" + return [Document( + page_content=content, + metadata={ + 'file_path': file_path, + 'filename': Path(file_path).name, + 'file_type': 'css' + } + )] + + def search(self, query: str, k: int = 10) -> List[Dict]: + """Semantic search""" + if not self.vectorstore: + raise ValueError("Vector store not created") + + docs_and_scores = self.vectorstore.similarity_search_with_score(query, k=k) + + results = [] + for doc, distance in docs_and_scores: + + relevance_score = max(0.0, 1.0 - (distance / 2.0)) + + results.append({ + 'file_path': doc.metadata['file_path'], + 'filename': doc.metadata['filename'], + 'score': relevance_score, + 'content': doc.page_content, + 'metadata': doc.metadata + }) + return results + + def save(self, path: str): + if self.vectorstore: + self.vectorstore.save_local(path) + + def load(self, path: str): + self.vectorstore = FAISS.load_local(path, self.embeddings) + + def get_uniques(self, results): + + return [max(group, key=lambda x: x['score']) + for _, group in groupby(sorted(results, key=lambda x: x['file_path']), + key=lambda x: x['file_path'])] + + + +def main(): + embedder = CodeEmbeddings() + + workspace_path = Path(os.path.join(os.getcwd(), "workspace")) + + + chunk_count = embedder.populate_workspace(workspace_path) + + if chunk_count > 0: + query = "the websocket is not connecting between two players" + + + + + + print("\n🔍 Semantic search results:") + print("=" * 50) + + + print(f"\nQuery: '{query}'") + results = embedder.search(query, k=7) + for i, result in enumerate(results, 1): + print(f" {i}. {result['filename']} - Score: {result['score']:.3f}") + print(f" {result['file_path']}") + if 'chunk_group' in result['metadata']: + print(f" Semantic group: {result['metadata']['chunk_group']}") + + + + + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..720c9fc --- /dev/null +++ b/requirements.txt @@ -0,0 +1,14 @@ +faiss-cpu==1.12.0 +huggingface-hub==0.34. +Flask==3.1.1 +langgraph==0.6.3 +langchain==0.3.27 +langchain-anthropic==0.3.18 +langchain-community==0.3.27 +langchain-core==0.3.72 +langchain-openai==0.3.28 +langchain-xai==0.2.5 +scikit-learn==1.7.1 +numpy==2.3.2 +pymongo==4.14.0 +python-dotenv==1.1.1