From eee247a17f9fe2291f237218fb3a83b878310e20 Mon Sep 17 00:00:00 2001 From: Shunsuke KITADA Date: Fri, 30 Jan 2026 02:38:47 +0000 Subject: [PATCH 1/5] feat: test edit evaluation --- .env.example | 1 + pyproject.toml | 2 ++ src/design_bench/evaluator/main.py | 1 - src/design_bench/evaluator/metric.py | 7 ++----- uv.lock | 10 ++++++++++ 5 files changed, 15 insertions(+), 6 deletions(-) create mode 100644 .env.example diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..e570b8b --- /dev/null +++ b/.env.example @@ -0,0 +1 @@ +OPENAI_API_KEY= diff --git a/pyproject.toml b/pyproject.toml index 65f2901..92a24b9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,8 +8,10 @@ authors = [ ] requires-python = ">=3.12" dependencies = [ + "clip>=0.2.0", "openai>=2.16.0", "python-dotenv>=1.2.1", + "tqdm>=4.67.1", ] [build-system] diff --git a/src/design_bench/evaluator/main.py b/src/design_bench/evaluator/main.py index 1b9ad26..56157f9 100644 --- a/src/design_bench/evaluator/main.py +++ b/src/design_bench/evaluator/main.py @@ -1,7 +1,6 @@ import os from PIL import Image -from tqdm import tqdm from tqdm.auto import tqdm from .config import Framework, Task, folder_dic, format_dic diff --git a/src/design_bench/evaluator/metric.py b/src/design_bench/evaluator/metric.py index 2ef6095..66493ee 100644 --- a/src/design_bench/evaluator/metric.py +++ b/src/design_bench/evaluator/metric.py @@ -292,9 +292,6 @@ def llm_repair_judge(original_image, repaired_image, reference_image, issues): return response -with open(key_path, "r") as fs: - keys = json.loads(fs.read()) - EDIT_JUDGE_SYSTEM_PROMPT = """ ## Task Description You are evaluating whether an edited UI screenshot properly implements a user's instructions for modifications. The user provides you with: @@ -356,7 +353,7 @@ def llm_repair_judge(original_image, repaired_image, reference_image, issues): @retry.retry(tries=3, delay=2) def gpt_edit_judge(model_name, original_image, edited_image, prompt): - openai_client = OpenAI(api_key=keys["gpt"], base_url="https://openkey.cloud/v1") + openai_client = OpenAI() response = openai_client.chat.completions.create( model=model_name, @@ -482,7 +479,7 @@ def gpt_edit_judge(model_name, original_image, edited_image, prompt): def gpt_repair_judge( model_name, original_image, repaired_image, reference_image, prompt ): - openai_client = OpenAI(api_key=keys["gpt"], base_url="https://openkey.cloud/v1") + openai_client = OpenAI() response = openai_client.chat.completions.create( model=model_name, diff --git a/uv.lock b/uv.lock index c957b52..4f2c466 100644 --- a/uv.lock +++ b/uv.lock @@ -33,6 +33,12 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e6/ad/3cc14f097111b4de0040c83a525973216457bbeeb63739ef1ed275c1c021/certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c", size = 152900, upload-time = "2026-01-04T02:42:40.15Z" }, ] +[[package]] +name = "clip" +version = "0.2.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/58/dc/12bf8888635ade4de57565dca75909a809d1da6ec341eacd546028a73ab9/clip-0.2.0.tar.gz", hash = "sha256:c0913fbb1a0eac8a20da4a5c890d454b081305f64429c0aa5b652164450253b8", size = 5453, upload-time = "2013-01-20T00:55:37.748Z" } + [[package]] name = "colorama" version = "0.4.6" @@ -47,8 +53,10 @@ name = "design-bench" version = "0.1.0" source = { editable = "." } dependencies = [ + { name = "clip" }, { name = "openai" }, { name = "python-dotenv" }, + { name = "tqdm" }, ] [package.dev-dependencies] @@ -60,8 +68,10 @@ dev = [ [package.metadata] requires-dist = [ + { name = "clip", specifier = ">=0.2.0" }, { name = "openai", specifier = ">=2.16.0" }, { name = "python-dotenv", specifier = ">=1.2.1" }, + { name = "tqdm", specifier = ">=4.67.1" }, ] [package.metadata.requires-dev] From c14bffb41f64be64805b7105904cd05899fece84 Mon Sep 17 00:00:00 2001 From: Shunsuke KITADA Date: Fri, 30 Jan 2026 16:15:50 +0000 Subject: [PATCH 2/5] Refactor evaluator configuration and metrics - Updated Framework, Task, and Mode enums to use StrEnum for better string handling. - Adjusted folder and deployment link dictionaries to reflect new enum values. - Enhanced the metric calculations in metric.py and metric_ast.py for improved readability and performance. - Added OpenAI API key handling in gpt_edit_judge function. - Improved image resizing method in process_imgs function. - Refactored WebDriver class to utilize GeckoDriverManager for driver installation. - Cleaned up imports and ensured consistent formatting across files. --- ...it_task_evaluation.py => run_edit_task.py} | 0 package-lock.json | 189 ++ package.json | 8 + pyproject.toml | 13 +- src/design_bench/evaluator/compile.py | 10 +- src/design_bench/evaluator/config.py | 70 +- src/design_bench/evaluator/main.py | 16 +- src/design_bench/evaluator/metric.py | 18 +- src/design_bench/evaluator/metric_ast.py | 536 ++-- src/design_bench/evaluator/metric_utils.py | 23 +- uv.lock | 2265 ++++++++++++++++- 11 files changed, 2756 insertions(+), 392 deletions(-) rename evaluation/{run_edit_task_evaluation.py => run_edit_task.py} (100%) create mode 100644 package-lock.json create mode 100644 package.json diff --git a/evaluation/run_edit_task_evaluation.py b/evaluation/run_edit_task.py similarity index 100% rename from evaluation/run_edit_task_evaluation.py rename to evaluation/run_edit_task.py diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..179dae3 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,189 @@ +{ + "name": "DesignBench", + "lockfileVersion": 3, 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"optional": true + } + } + } + } +} diff --git a/package.json b/package.json new file mode 100644 index 0000000..597a5d8 --- /dev/null +++ b/package.json @@ -0,0 +1,8 @@ +{ + "dependencies": { + "@babel/parser": "^7.28.6", + "@vue/compiler-dom": "^3.5.27", + "parse5": "^8.0.0", + "single-file-cli": "^2.0.83" + } +} diff --git a/pyproject.toml b/pyproject.toml index 92a24b9..ed3a9f6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,10 +8,18 @@ authors = [ ] requires-python = ">=3.12" dependencies = [ - "clip>=0.2.0", + "clip", + "datasets>=4.5.0", "openai>=2.16.0", + "opencv-python>=4.13.0.90", "python-dotenv>=1.2.1", + "retry>=0.9.2", + "scikit-image>=0.26.0", + "selenium>=4.40.0", + "torch>=2.10.0", + "torchvision>=0.25.0", "tqdm>=4.67.1", + "webdriver-manager>=4.0.2", ] [build-system] @@ -20,3 +28,6 @@ build-backend = "uv_build" [dependency-groups] dev = ["pytest>=6.0.0", "ruff>=0.1.5", "ty>=0.0.10"] + +[tool.uv.sources] +clip = { git = "https://github.com/openai/CLIP" } diff --git a/src/design_bench/evaluator/compile.py b/src/design_bench/evaluator/compile.py index 3e42c9b..5a9cb04 100644 --- a/src/design_bench/evaluator/compile.py +++ b/src/design_bench/evaluator/compile.py @@ -1,10 +1,12 @@ -import re -import os import json +import os +import re + +import numpy as np import tqdm from PIL import Image -import numpy as np -from config import * + +from .config import DesignBench_Path, Task def is_pure_white_image(image_path): diff --git a/src/design_bench/evaluator/config.py b/src/design_bench/evaluator/config.py index 79a7dae..52ebb38 100644 --- a/src/design_bench/evaluator/config.py +++ b/src/design_bench/evaluator/config.py @@ -1,50 +1,50 @@ -from enum import Enum +from enum import StrEnum, auto +from typing import Dict, Final +DesignBench_Path = "" -DesignBench_Path = "/Home/User/DesignBench/" +class Framework(StrEnum): + vanilla = auto() + react = auto() + vue = auto() + angular = auto() -class Framework(str, Enum): - VANILLA = "vanilla" - REACT = "react" - VUE = "vue" - ANGULAR = "angular" +class Task(StrEnum): + repair = auto() + generation = auto() + edit = auto() + compile = auto() -class Task(str, Enum): - REPAIR = "repair" - GENERATION = "generation" - EDIT = "edit" - COMPILE = "compile" - -class Mode(str, Enum): - CODE = "code" - IMAGE = "image" - BOTH = "both" - MARK = "mark" +class Mode(StrEnum): + code = auto() + image = auto() + both = auto() + mark = auto() key_path = DesignBench_Path + "code/prompting/key.json" firefox_path = DesignBench_Path + "code/evaluator/geckodriver" -folder_dic = { - Task.GENERATION: DesignBench_Path + "data/DesignGeneration/", - Task.EDIT: DesignBench_Path + "data/DesignEdit/", - Task.REPAIR: DesignBench_Path + "data/DesignRepair/", +folder_dic: Final[Dict[Task, str]] = { + Task.generation: DesignBench_Path + "data/generation/", + Task.edit: DesignBench_Path + "data/edit/", + Task.repair: DesignBench_Path + "data/repair/", } -deploy_link_dic = { - Framework.VUE: "http://localhost:5173/", # npm run dev - Framework.REACT: "http://localhost:3000/", # npm run dev - Framework.ANGULAR: "http://localhost:4200/", # ng serve +deploy_link_dic: Final[Dict[Framework, str]] = { + Framework.vue: "http://localhost:5173/", # npm run dev + Framework.react: "http://localhost:3000/", # npm run dev + Framework.angular: "http://localhost:4200/", # ng serve } -project_code_path_dic = { - Framework.VUE: DesignBench_Path + "web/my-vue-app/src/components/HelloWorld.vue", - Framework.REACT: DesignBench_Path + "web/my-react-app/app/page.tsx", - Framework.ANGULAR: DesignBench_Path +project_code_path_dic: Final[Dict[Framework, str]] = { + Framework.vue: DesignBench_Path + "web/my-vue-app/src/components/HelloWorld.vue", + Framework.react: DesignBench_Path + "web/my-react-app/app/page.tsx", + Framework.angular: DesignBench_Path + "web/my-angular-app/src/app/new.component.html", # "angular": { # "html": DesignBench_Path + "web/my-angular-app/app/new.component.html", @@ -52,9 +52,9 @@ class Mode(str, Enum): # } } -format_dic = { - Framework.VUE: "vue", - Framework.REACT: "jsx", - Framework.VANILLA: "html", - Framework.ANGULAR: "angular", +format_dic: Final[Dict[Framework, str]] = { + Framework.vue: "vue", + Framework.react: "jsx", + Framework.value: "html", + Framework.angular: "angular", } diff --git a/src/design_bench/evaluator/main.py b/src/design_bench/evaluator/main.py index 56157f9..7e3d5bc 100644 --- a/src/design_bench/evaluator/main.py +++ b/src/design_bench/evaluator/main.py @@ -1,12 +1,22 @@ +import json import os from PIL import Image from tqdm.auto import tqdm from .config import Framework, Task, folder_dic, format_dic -from .metric import clip_similarity, mae_score, ssim_similarity +from .metric import ( + clip_similarity, + code_similarity, + llm_edit_judge, + llm_repair_judge, + mae_score, + ssim_similarity, +) from .metric_ast import ast_code_similarity -from .metric_utils import render_ui +from .metric_utils import remove_comments, render_ui, validate_issue + +re_calculate = False # FIXME def get_begin_end(framework: Framework, task: Task) -> range: @@ -570,8 +580,6 @@ def evaluate_generation(models, frame_works, implemented_frameworks): if __name__ == "__main__": - re_calculate = False - models = [ "claude-3-7-sonnet-20250219", "gpt-4o-2024-11-20", diff --git a/src/design_bench/evaluator/metric.py b/src/design_bench/evaluator/metric.py index 66493ee..244be7f 100644 --- a/src/design_bench/evaluator/metric.py +++ b/src/design_bench/evaluator/metric.py @@ -1,5 +1,6 @@ import base64 import difflib +import os import clip import cv2 @@ -11,8 +12,6 @@ from skimage.metrics import structural_similarity as ssim from torch.nn.functional import cosine_similarity -from .metric_utils import * - device = "cuda" if torch.cuda.is_available() else "cpu" model, preprocess = clip.load("ViT-B/32", device=device) @@ -192,8 +191,8 @@ def pad_image(image, new_width, new_height): new_size = (int(new_width * aspect_ratio), int(new_height * aspect_ratio)) # Resize the padded images to the specified max size - resized_image1 = padded_image1.resize(new_size, Image.LANCZOS) - resized_image2 = padded_image2.resize(new_size, Image.LANCZOS) + resized_image1 = padded_image1.resize(new_size, Image.Resampling.LANCZOS) + resized_image2 = padded_image2.resize(new_size, Image.Resampling.LANCZOS) # resized_image1.show() # resized_image2.show() @@ -353,7 +352,16 @@ def llm_repair_judge(original_image, repaired_image, reference_image, issues): @retry.retry(tries=3, delay=2) def gpt_edit_judge(model_name, original_image, edited_image, prompt): - openai_client = OpenAI() + openai_client = OpenAI( + api_key=os.environ.get("OPENAI_API_KEY"), + base_url=os.environ.get("OPENAI_API_BASE_URL"), + default_headers={ + "Content-Type": "application/json", + "Authorization": f"Bearer {os.environ.get('OPENAI_API_KEY')}", + # "X-User-Id": "{employee_id}", # 社員IDなどをproxyに送る時用、必須ではない + # "X-Title": "{your application name, etc}", # 社内アプリの識別子用、必須ではない + }, + ) response = openai_client.chat.completions.create( model=model_name, diff --git a/src/design_bench/evaluator/metric_ast.py b/src/design_bench/evaluator/metric_ast.py index 05e177d..aa968a8 100644 --- a/src/design_bench/evaluator/metric_ast.py +++ b/src/design_bench/evaluator/metric_ast.py @@ -3,24 +3,24 @@ Supports: React (.jsx), Angular (.angular), HTML (.html), Vue (.vue) """ -import subprocess +import difflib import json -import tempfile +import math import os -from pathlib import Path -from typing import Dict, List, Tuple, Any -from dataclasses import dataclass -import difflib +import subprocess +import tempfile from collections import Counter -import math +from dataclasses import dataclass +from typing import Any, Dict, List, Tuple @dataclass class ASTNode: """Simplified AST node representation""" + type: str value: Any - children: List['ASTNode'] + children: List["ASTNode"] attributes: Dict[str, Any] def __hash__(self): @@ -31,7 +31,9 @@ class CodeBLEUCalculator: """Calculate BLEU and CodeBLEU scores for code similarity""" @staticmethod - def compute_bleu(reference: str, hypothesis: str, max_n: int = 4) -> Dict[str, float]: + def compute_bleu( + reference: str, hypothesis: str, max_n: int = 4 + ) -> Dict[str, float]: """ Compute BLEU score (n-gram based) @@ -83,21 +85,21 @@ def compute_bleu(reference: str, hypothesis: str, max_n: int = 4) -> Dict[str, f bleu = bp * geo_mean return { - 'bleu': round(bleu, 4), - 'bleu-1': round(precisions[0], 4), - 'bleu-2': round(precisions[1] if len(precisions) > 1 else 0.0, 4), - 'bleu-3': round(precisions[2] if len(precisions) > 2 else 0.0, 4), - 'bleu-4': round(precisions[3] if len(precisions) > 3 else 0.0, 4), - 'bp': round(bp, 4) + "bleu": round(bleu, 4), + "bleu-1": round(precisions[0], 4), + "bleu-2": round(precisions[1] if len(precisions) > 1 else 0.0, 4), + "bleu-3": round(precisions[2] if len(precisions) > 2 else 0.0, 4), + "bleu-4": round(precisions[3] if len(precisions) > 3 else 0.0, 4), + "bp": round(bp, 4), } @staticmethod def compute_codebleu( - reference: str, - hypothesis: str, - reference_ast: Dict = None, - hypothesis_ast: Dict = None, - weights: Tuple[float, float, float, float] = (0.25, 0.25, 0.25, 0.25) + reference: str, + hypothesis: str, + reference_ast: Dict = None, + hypothesis_ast: Dict = None, + weights: Tuple[float, float, float, float] = (0.25, 0.25, 0.25, 0.25), ) -> Dict[str, float]: """ Compute CodeBLEU score @@ -114,14 +116,16 @@ def compute_codebleu( """ # 1. N-gram match (BLEU) bleu_scores = CodeBLEUCalculator.compute_bleu(reference, hypothesis) - ngram_match = bleu_scores['bleu'] + ngram_match = bleu_scores["bleu"] # 2. Weighted n-gram match (considering keywords) weighted_ngram = CodeBLEUCalculator._weighted_ngram_match(reference, hypothesis) # 3. Syntax match (AST-based) if reference_ast and hypothesis_ast: - syntax_match = CodeBLEUCalculator._syntax_match(reference_ast, hypothesis_ast) + syntax_match = CodeBLEUCalculator._syntax_match( + reference_ast, hypothesis_ast + ) else: syntax_match = 0.0 @@ -130,26 +134,27 @@ def compute_codebleu( # Combined CodeBLEU score codebleu = ( - weights[0] * ngram_match + - weights[1] * weighted_ngram + - weights[2] * syntax_match + - weights[3] * dataflow_match + weights[0] * ngram_match + + weights[1] * weighted_ngram + + weights[2] * syntax_match + + weights[3] * dataflow_match ) return { - 'codebleu': round(codebleu, 4), - 'ngram_match': round(ngram_match, 4), - 'weighted_ngram_match': round(weighted_ngram, 4), - 'syntax_match': round(syntax_match, 4), - 'dataflow_match': round(dataflow_match, 4) + "codebleu": round(codebleu, 4), + "ngram_match": round(ngram_match, 4), + "weighted_ngram_match": round(weighted_ngram, 4), + "syntax_match": round(syntax_match, 4), + "dataflow_match": round(dataflow_match, 4), } @staticmethod def _tokenize_code(code: str) -> List[str]: """Tokenize code into tokens""" import re + # Simple tokenization: split by whitespace and punctuation - tokens = re.findall(r'\w+|[^\w\s]', code) + tokens = re.findall(r"\w+|[^\w\s]", code) return [t for t in tokens if t.strip()] @staticmethod @@ -157,7 +162,7 @@ def _get_ngrams(tokens: List[str], n: int) -> Counter: """Get n-grams from token list""" ngrams = Counter() for i in range(len(tokens) - n + 1): - ngram = tuple(tokens[i:i + n]) + ngram = tuple(tokens[i : i + n]) ngrams[ngram] += 1 return ngrams @@ -167,9 +172,24 @@ def _weighted_ngram_match(reference: str, hypothesis: str) -> float: Weighted n-gram match giving higher weight to keywords """ keywords = { - 'function', 'const', 'let', 'var', 'return', 'if', 'else', - 'className', 'onClick', 'useState', 'useEffect', 'import', 'export', - 'class', 'extends', 'render', 'props', 'state' + "function", + "const", + "let", + "var", + "return", + "if", + "else", + "className", + "onClick", + "useState", + "useEffect", + "import", + "export", + "class", + "extends", + "render", + "props", + "state", } ref_tokens = CodeBLEUCalculator._tokenize_code(reference) @@ -207,8 +227,8 @@ def get_node_types(ast, types=None): if types is None: types = [] if isinstance(ast, dict): - if 'type' in ast: - types.append(ast['type']) + if "type" in ast: + types.append(ast["type"]) for value in ast.values(): get_node_types(value, types) elif isinstance(ast, list): @@ -241,11 +261,11 @@ def _dataflow_match(reference: str, hypothesis: str) -> float: # Extract variable declarations and usages def extract_dataflow(code): # Find variable declarations - declarations = set(re.findall(r'(?:const|let|var)\s+(\w+)', code)) + declarations = set(re.findall(r"(?:const|let|var)\s+(\w+)", code)) # Find function calls - function_calls = set(re.findall(r'(\w+)\s*\(', code)) + function_calls = set(re.findall(r"(\w+)\s*\(", code)) # Find property accesses - properties = set(re.findall(r'\.(\w+)', code)) + properties = set(re.findall(r"\.(\w+)", code)) return declarations, function_calls, properties @@ -332,14 +352,14 @@ def parse(self, code: str, file_type: str) -> Dict: AST dictionary """ # Create temporary files - tmpdir = tempfile.mkdtemp(dir='./tmp') - code_file = os.path.join(tmpdir, f'code.{file_type}') - parser_file = os.path.join(tmpdir, 'parser.js') + tmpdir = tempfile.mkdtemp(dir="./tmp") + code_file = os.path.join(tmpdir, f"code.{file_type}") + parser_file = os.path.join(tmpdir, "parser.js") # Write files - with open(code_file, 'w', encoding='utf-8') as f: + with open(code_file, "w", encoding="utf-8") as f: f.write(code) - with open(parser_file, 'w', encoding='utf-8') as f: + with open(parser_file, "w", encoding="utf-8") as f: f.write(self.parser_script) # Install dependencies (if needed) @@ -348,10 +368,10 @@ def parse(self, code: str, file_type: str) -> Dict: # Run parser try: result = subprocess.run( - ['/Users/whalexiao/.nvm/versions/node/v18.19.0/bin/node', parser_file, code_file, file_type], + ["node", parser_file, code_file, file_type], capture_output=True, text=True, - timeout=10 + timeout=10, ) if result.returncode != 0: @@ -369,12 +389,12 @@ def _ensure_dependencies(self, tmpdir: str): "dependencies": { "@babel/parser": "^7.23.0", "@vue/compiler-dom": "^3.3.0", - "parse5": "^7.1.2" + "parse5": "^7.1.2", } } - package_file = os.path.join(tmpdir, 'package.json') - with open(package_file, 'w') as f: + package_file = os.path.join(tmpdir, "package.json") + with open(package_file, "w") as f: json.dump(package_json, f) # Check if already installed globally or locally @@ -396,7 +416,8 @@ def calculate(tree1: ASTNode, tree2: ASTNode) -> int: # Simplified implementation - in production use zss library # pip install zss try: - from zss import simple_distance, Node as ZSSNode + from zss import Node as ZSSNode + from zss import simple_distance def ast_to_zss(node: ASTNode) -> ZSSNode: label = f"{node.type}:{node.value}" @@ -411,8 +432,10 @@ def ast_to_zss(node: ASTNode) -> ZSSNode: return simple_distance(zss_tree1, zss_tree2) except ImportError: # Fallback: simple node count difference - return abs(TreeEditDistance._count_nodes(tree1) - - TreeEditDistance._count_nodes(tree2)) + return abs( + TreeEditDistance._count_nodes(tree1) + - TreeEditDistance._count_nodes(tree2) + ) @staticmethod def _count_nodes(node: ASTNode) -> int: @@ -454,38 +477,48 @@ def _diff_nodes(node1: Any, node2: Any, ops: List, path: List): return if node1 is None: - ops.append({'type': 'insert', 'path': path.copy(), 'node': str(node2)[:100]}) + ops.append( + {"type": "insert", "path": path.copy(), "node": str(node2)[:100]} + ) return if node2 is None: - ops.append({'type': 'delete', 'path': path.copy(), 'node': str(node1)[:100]}) + ops.append( + {"type": "delete", "path": path.copy(), "node": str(node1)[:100]} + ) return # Handle dict nodes if isinstance(node1, dict) and isinstance(node2, dict): - if node1.get('type') != node2.get('type'): - ops.append({'type': 'update', 'path': path.copy(), - 'from': node1.get('type'), 'to': node2.get('type')}) + if node1.get("type") != node2.get("type"): + ops.append( + { + "type": "update", + "path": path.copy(), + "from": node1.get("type"), + "to": node2.get("type"), + } + ) # Check attributes keys = set(node1.keys()) | set(node2.keys()) for key in keys: - if key in ['loc', 'start', 'end', 'range', 'tokens', 'comments']: + if key in ["loc", "start", "end", "range", "tokens", "comments"]: continue # Skip position info and metadata - ASTDiffer._diff_nodes( - node1.get(key), - node2.get(key), - ops, - path + [key] - ) + ASTDiffer._diff_nodes(node1.get(key), node2.get(key), ops, path + [key]) # Handle list nodes elif isinstance(node1, list) and isinstance(node2, list): # Check if all elements are hashable (simple types) try: - all_hashable = (len(node1) == 0 or all(ASTDiffer._is_hashable(item) for item in node1)) and \ - (len(node2) == 0 or all(ASTDiffer._is_hashable(item) for item in node2)) + all_hashable = ( + len(node1) == 0 + or all(ASTDiffer._is_hashable(item) for item in node1) + ) and ( + len(node2) == 0 + or all(ASTDiffer._is_hashable(item) for item in node2) + ) except: all_hashable = False @@ -494,17 +527,29 @@ def _diff_nodes(node1: Any, node2: Any, ops: List, path: List): try: matcher = difflib.SequenceMatcher(None, node1, node2) for tag, i1, i2, j1, j2 in matcher.get_opcodes(): - if tag == 'delete': + if tag == "delete": for i in range(i1, i2): - ops.append({'type': 'delete', 'path': path + [i], - 'node': str(node1[i])[:100]}) - elif tag == 'insert': + ops.append( + { + "type": "delete", + "path": path + [i], + "node": str(node1[i])[:100], + } + ) + elif tag == "insert": for j in range(j1, j2): - ops.append({'type': 'insert', 'path': path + [j], - 'node': str(node2[j])[:100]}) - elif tag == 'replace': + ops.append( + { + "type": "insert", + "path": path + [j], + "node": str(node2[j])[:100], + } + ) + elif tag == "replace": for i, j in zip(range(i1, i2), range(j1, j2)): - ASTDiffer._diff_nodes(node1[i], node2[j], ops, path + [i]) + ASTDiffer._diff_nodes( + node1[i], node2[j], ops, path + [i] + ) except TypeError: # Fallback if SequenceMatcher still fails all_hashable = False @@ -515,20 +560,36 @@ def _diff_nodes(node1: Any, node2: Any, ops: List, path: List): for i in range(max_len): if i >= len(node1): # Insert operation - ops.append({'type': 'insert', 'path': path + [i], - 'node': str(node2[i])[:100]}) + ops.append( + { + "type": "insert", + "path": path + [i], + "node": str(node2[i])[:100], + } + ) elif i >= len(node2): # Delete operation - ops.append({'type': 'delete', 'path': path + [i], - 'node': str(node1[i])[:100]}) + ops.append( + { + "type": "delete", + "path": path + [i], + "node": str(node1[i])[:100], + } + ) else: # Recursively compare elements at same index ASTDiffer._diff_nodes(node1[i], node2[i], ops, path + [i]) # Handle primitive type differences elif node1 != node2: - ops.append({'type': 'update', 'path': path.copy(), - 'from': str(node1)[:50], 'to': str(node2)[:50]}) + ops.append( + { + "type": "update", + "path": path.copy(), + "from": str(node1)[:50], + "to": str(node2)[:50], + } + ) class ASTEditSimilarity: @@ -544,11 +605,7 @@ def __init__(self, use_lightweight_parser: bool = True): self.parser = ASTParser() def calculate( - self, - before_code: str, - gt_code: str, - pred_code: str, - file_type: str + self, before_code: str, gt_code: str, pred_code: str, file_type: str ) -> Dict[str, float]: """ Calculate AST Edit Similarity @@ -573,36 +630,35 @@ def calculate( return self._lightweight_similarity(before_code, gt_code, pred_code) else: # Full AST parsing - return self._full_ast_similarity(before_code, gt_code, pred_code, file_type) + return self._full_ast_similarity( + before_code, gt_code, pred_code, file_type + ) except Exception as e: print(f"Error calculating AST similarity: {e}") import traceback + traceback.print_exc() # Fallback to simple line diff # return self._lightweight_similarity(before_code, gt_code, pred_code) return { - 'ast_ted': 0, - 'ast_op': 0, - 'matched_ops': 0, - 'total_gt_ops': 0, - 'total_pred_ops': 0, - 'bleu': 0, - 'bleu-4':0, - 'codebleu': 0, - 'ngram_match': 0, - 'syntax_match': 0, - 'dataflow_match': 0, - 'ast_mcs': 0, - 'ast_es':0 + "ast_ted": 0, + "ast_op": 0, + "matched_ops": 0, + "total_gt_ops": 0, + "total_pred_ops": 0, + "bleu": 0, + "bleu-4": 0, + "codebleu": 0, + "ngram_match": 0, + "syntax_match": 0, + "dataflow_match": 0, + "ast_mcs": 0, + "ast_es": 0, } def _full_ast_similarity( - self, - before_code: str, - gt_code: str, - pred_code: str, - file_type: str + self, before_code: str, gt_code: str, pred_code: str, file_type: str ) -> Dict[str, float]: """Full AST-based similarity (requires Node.js)""" # Parse all versions @@ -628,11 +684,19 @@ def _full_ast_similarity( print(f"Matched {len(matched_pairs)} operation pairs") # Calculate operation similarity (where the edits are) - ast_op = len(matched_pairs) / max(len(gt_ops), len(pred_ops)) if (gt_ops or pred_ops) else 1.0 + ast_op = ( + len(matched_pairs) / max(len(gt_ops), len(pred_ops)) + if (gt_ops or pred_ops) + else 1.0 + ) # Extract code content from MATCHED operations only - gt_matched_content = ' '.join([self._extract_op_content(op1) for op1, _ in matched_pairs]) - pred_matched_content = ' '.join([self._extract_op_content(op2) for _, op2 in matched_pairs]) + gt_matched_content = " ".join( + [self._extract_op_content(op1) for op1, _ in matched_pairs] + ) + pred_matched_content = " ".join( + [self._extract_op_content(op2) for _, op2 in matched_pairs] + ) print(f"GT matched content length: {len(gt_matched_content)}") print(f"Pred matched content length: {len(pred_matched_content)}") @@ -640,36 +704,51 @@ def _full_ast_similarity( # Calculate BLEU score on matched content only if gt_matched_content and pred_matched_content: print("Calculating BLEU on matched operations...") - bleu_results = CodeBLEUCalculator.compute_bleu(gt_matched_content, pred_matched_content) + bleu_results = CodeBLEUCalculator.compute_bleu( + gt_matched_content, pred_matched_content + ) print("Calculating CodeBLEU on matched operations...") codebleu_results = CodeBLEUCalculator.compute_codebleu( - gt_matched_content, pred_matched_content, - gt_ast, pred_ast + gt_matched_content, pred_matched_content, gt_ast, pred_ast ) else: print("No matched content found, using fallback scores") if len(pred_ops) == 0 and len(gt_ops) == 0: - bleu_results = {'bleu': 1.0, 'bleu-1': 1.0, 'bleu-2': 1.0, 'bleu-3': 1.0, 'bleu-4': 1.0, 'bp': 1.0} + bleu_results = { + "bleu": 1.0, + "bleu-1": 1.0, + "bleu-2": 1.0, + "bleu-3": 1.0, + "bleu-4": 1.0, + "bp": 1.0, + } codebleu_results = { - 'codebleu': 1.0, - 'ngram_match': 1.0, - 'weighted_ngram_match': 1.0, - 'syntax_match': 1.0, - 'dataflow_match': 1.0 + "codebleu": 1.0, + "ngram_match": 1.0, + "weighted_ngram_match": 1.0, + "syntax_match": 1.0, + "dataflow_match": 1.0, } else: - bleu_results = {'bleu': 0.0, 'bleu-1': 0.0, 'bleu-2': 0.0, 'bleu-3': 0.0, 'bleu-4': 0.0, 'bp': 0.0} + bleu_results = { + "bleu": 0.0, + "bleu-1": 0.0, + "bleu-2": 0.0, + "bleu-3": 0.0, + "bleu-4": 0.0, + "bp": 0.0, + } codebleu_results = { - 'codebleu': 0.0, - 'ngram_match': 0.0, - 'weighted_ngram_match': 0.0, - 'syntax_match': 0.0, - 'dataflow_match': 0.0 + "codebleu": 0.0, + "ngram_match": 0.0, + "weighted_ngram_match": 0.0, + "syntax_match": 0.0, + "dataflow_match": 0.0, } # Use CodeBLEU on matched content as modified content similarity - ast_mcs = codebleu_results['codebleu'] + ast_mcs = codebleu_results["codebleu"] # Calculate tree edit distance similarity ast_ted = self._ted_similarity(gt_ast, pred_ast) @@ -678,50 +757,47 @@ def _full_ast_similarity( ast_es = 0.35 * ast_ted + 0.30 * ast_op + 0.35 * ast_mcs return { - 'ast_ted': round(ast_ted, 4), - 'ast_op': round(ast_op, 4), - 'ast_mcs': round(ast_mcs, 4), - 'matched_ops': len(matched_pairs), - 'total_gt_ops': len(gt_ops), - 'total_pred_ops': len(pred_ops), - 'bleu': bleu_results['bleu'], - 'bleu-4': bleu_results['bleu-4'], - 'codebleu': codebleu_results['codebleu'], - 'ngram_match': codebleu_results['ngram_match'], - 'syntax_match': codebleu_results['syntax_match'], - 'dataflow_match': codebleu_results['dataflow_match'], - 'ast_es': round(ast_es, 4) + "ast_ted": round(ast_ted, 4), + "ast_op": round(ast_op, 4), + "ast_mcs": round(ast_mcs, 4), + "matched_ops": len(matched_pairs), + "total_gt_ops": len(gt_ops), + "total_pred_ops": len(pred_ops), + "bleu": bleu_results["bleu"], + "bleu-4": bleu_results["bleu-4"], + "codebleu": codebleu_results["codebleu"], + "ngram_match": codebleu_results["ngram_match"], + "syntax_match": codebleu_results["syntax_match"], + "dataflow_match": codebleu_results["dataflow_match"], + "ast_es": round(ast_es, 4), } def _extract_modified_code(self, before: str, after: str) -> str: """ Extract only the modified parts of code for BLEU calculation """ - before_lines = before.strip().split('\n') - after_lines = after.strip().split('\n') + before_lines = before.strip().split("\n") + after_lines = after.strip().split("\n") differ = difflib.Differ() diff = list(differ.compare(before_lines, after_lines)) modified_parts = [] for line in diff: - if line.startswith('+ '): + if line.startswith("+ "): # Added line modified_parts.append(line[2:]) - elif line.startswith('- '): + elif line.startswith("- "): # Removed line (include for context) modified_parts.append(line[2:]) - elif line.startswith('? '): + elif line.startswith("? "): # Line showing differences (skip) continue - return '\n'.join(modified_parts) if modified_parts else after + return "\n".join(modified_parts) if modified_parts else after def _lightweight_similarity( - self, - before_code: str, - gt_code: str, - pred_code: str + self, before_code: str, gt_code: str, pred_code: str ) -> Dict[str, float]: """ Lightweight similarity based on token/line diffing @@ -736,9 +812,7 @@ def _lightweight_similarity( # Calculate CodeBLEU (without AST since we're in lightweight mode) codebleu_results = CodeBLEUCalculator.compute_codebleu( - gt_modified, pred_modified, - reference_ast=None, - hypothesis_ast=None + gt_modified, pred_modified, reference_ast=None, hypothesis_ast=None ) # Tokenize code @@ -746,21 +820,25 @@ def _lightweight_similarity( pred_tokens = self._tokenize(before_code, pred_code) # Calculate token-level edit operations - gt_ops_set = set(gt_tokens['added'] + gt_tokens['removed'] + gt_tokens['modified']) - pred_ops_set = set(pred_tokens['added'] + pred_tokens['removed'] + pred_tokens['modified']) + gt_ops_set = set( + gt_tokens["added"] + gt_tokens["removed"] + gt_tokens["modified"] + ) + pred_ops_set = set( + pred_tokens["added"] + pred_tokens["removed"] + pred_tokens["modified"] + ) if not gt_ops_set and not pred_ops_set: return { - 'ast_ted': 1.0, - 'ast_op': 1.0, - 'ast_mcs': 1.0, - 'bleu': 1.0, - 'bleu-4': 1.0, - 'codebleu': 1.0, - 'ngram_match': 1.0, - 'syntax_match': 1.0, - 'dataflow_match': 1.0, - 'ast_es': 1.0 + "ast_ted": 1.0, + "ast_op": 1.0, + "ast_mcs": 1.0, + "bleu": 1.0, + "bleu-4": 1.0, + "codebleu": 1.0, + "ngram_match": 1.0, + "syntax_match": 1.0, + "dataflow_match": 1.0, + "ast_es": 1.0, } # Operation similarity (Jaccard) - where the changes are @@ -769,11 +847,11 @@ def _lightweight_similarity( ast_op = intersection / union if union > 0 else 0.0 # Use CodeBLEU as modified content similarity - ast_mcs = codebleu_results['codebleu'] + ast_mcs = codebleu_results["codebleu"] # Structure similarity (sequence matching) - gt_lines = gt_code.strip().split('\n') - pred_lines = pred_code.strip().split('\n') + gt_lines = gt_code.strip().split("\n") + pred_lines = pred_code.strip().split("\n") matcher = difflib.SequenceMatcher(None, gt_lines, pred_lines) ast_ted = matcher.ratio() @@ -781,26 +859,32 @@ def _lightweight_similarity( ast_es = 0.35 * ast_ted + 0.30 * ast_op + 0.35 * ast_mcs return { - 'ast_ted': round(ast_ted, 4), - 'ast_op': round(ast_op, 4), - 'ast_mcs': round(ast_mcs, 4), - 'bleu': bleu_results['bleu'], - 'bleu-4': bleu_results['bleu-4'], - 'codebleu': codebleu_results['codebleu'], - 'ngram_match': codebleu_results['ngram_match'], - 'syntax_match': codebleu_results['syntax_match'], - 'dataflow_match': codebleu_results['dataflow_match'], - 'ast_es': round(ast_es, 4) + "ast_ted": round(ast_ted, 4), + "ast_op": round(ast_op, 4), + "ast_mcs": round(ast_mcs, 4), + "bleu": bleu_results["bleu"], + "bleu-4": bleu_results["bleu-4"], + "codebleu": codebleu_results["codebleu"], + "ngram_match": codebleu_results["ngram_match"], + "syntax_match": codebleu_results["syntax_match"], + "dataflow_match": codebleu_results["dataflow_match"], + "ast_es": round(ast_es, 4), } - def _lightweight_content_similarity(self, gt_tokens: Dict, pred_tokens: Dict) -> float: + def _lightweight_content_similarity( + self, gt_tokens: Dict, pred_tokens: Dict + ) -> float: """ Calculate content similarity for lightweight mode Compares the actual content of added/modified lines """ # Extract actual changed content - gt_content = set(gt_tokens['added'] + [m.split(' -> ')[1] for m in gt_tokens['modified']]) - pred_content = set(pred_tokens['added'] + [m.split(' -> ')[1] for m in pred_tokens['modified']]) + gt_content = set( + gt_tokens["added"] + [m.split(" -> ")[1] for m in gt_tokens["modified"]] + ) + pred_content = set( + pred_tokens["added"] + [m.split(" -> ")[1] for m in pred_tokens["modified"]] + ) # Token-level comparison gt_all_tokens = set() @@ -821,27 +905,27 @@ def _lightweight_content_similarity(self, gt_tokens: Dict, pred_tokens: Dict) -> def _tokenize(self, before: str, after: str) -> Dict[str, List[str]]: """Extract added/removed/modified tokens""" - before_lines = before.strip().split('\n') - after_lines = after.strip().split('\n') + before_lines = before.strip().split("\n") + after_lines = after.strip().split("\n") differ = difflib.Differ() diff = list(differ.compare(before_lines, after_lines)) - added = [line[2:] for line in diff if line.startswith('+ ')] - removed = [line[2:] for line in diff if line.startswith('- ')] + added = [line[2:] for line in diff if line.startswith("+ ")] + removed = [line[2:] for line in diff if line.startswith("- ")] modified = [] # Detect modifications (removed + added pairs) i = 0 while i < len(diff): if i < len(diff) - 1: - if diff[i].startswith('- ') and diff[i + 1].startswith('+ '): + if diff[i].startswith("- ") and diff[i + 1].startswith("+ "): modified.append(f"{diff[i][2:]} -> {diff[i + 1][2:]}") i += 2 continue i += 1 - return {'added': added, 'removed': removed, 'modified': modified} + return {"added": added, "removed": removed, "modified": modified} def _operation_similarity(self, ops1: List[Dict], ops2: List[Dict]) -> float: """Calculate similarity between two operation lists""" @@ -857,7 +941,9 @@ def _operation_similarity(self, ops1: List[Dict], ops2: List[Dict]) -> float: return intersection / union if union > 0 else 0.0 - def _match_operations(self, ops1: List[Dict], ops2: List[Dict]) -> Tuple[List[Dict], List[Dict]]: + def _match_operations( + self, ops1: List[Dict], ops2: List[Dict] + ) -> Tuple[List[Dict], List[Dict]]: """ Find matching operations between two operation lists Returns matched operation pairs @@ -867,10 +953,10 @@ def _match_operations(self, ops1: List[Dict], ops2: List[Dict]) -> Tuple[List[Di # Create operation signature for matching def op_signature(op): """Create a signature for matching operations""" - op_type = op.get('type') - path = op.get('path', []) + op_type = op.get("type") + path = op.get("path", []) # Use first 3 levels of path for matching (more flexible) - path_key = '.'.join(map(str, path[:3])) + path_key = ".".join(map(str, path[:3])) return f"{op_type}:{path_key}" # Build index for ops2 @@ -928,15 +1014,15 @@ def _modified_content_similarity(self, ops1: List[Dict], ops2: List[Dict]) -> fl return 1.0 # Join content for comparison - gt_code = ' '.join(gt_content) - pred_code = ' '.join(pred_content) + gt_code = " ".join(gt_content) + pred_code = " ".join(pred_content) # Method 1: Token-level similarity token_sim = self._token_similarity(gt_content, pred_content) # Method 2: BLEU score on matched content bleu_result = CodeBLEUCalculator.compute_bleu(gt_code, pred_code) - bleu_sim = bleu_result['bleu'] + bleu_sim = bleu_result["bleu"] # Method 3: Semantic similarity (operation types and values) semantic_sim = self._semantic_operation_similarity_matched(matched_pairs) @@ -948,18 +1034,20 @@ def _modified_content_similarity(self, ops1: List[Dict], ops2: List[Dict]) -> fl def _extract_op_content(self, op: Dict) -> str: """Extract content text from an operation""" - op_type = op.get('type') + op_type = op.get("type") - if op_type == 'insert': - return str(op.get('node', '')) - elif op_type == 'update': + if op_type == "insert": + return str(op.get("node", "")) + elif op_type == "update": return f"{op.get('from', '')} {op.get('to', '')}" - elif op_type == 'delete': - return str(op.get('node', '')) + elif op_type == "delete": + return str(op.get("node", "")) - return '' + return "" - def _semantic_operation_similarity_matched(self, matched_pairs: List[Tuple[Dict, Dict]]) -> float: + def _semantic_operation_similarity_matched( + self, matched_pairs: List[Tuple[Dict, Dict]] + ) -> float: """ Calculate semantic similarity for matched operation pairs """ @@ -996,12 +1084,12 @@ def _extract_operation_content(self, ops: List[Dict]) -> List[str]: """Extract actual content changes from operations""" content = [] for op in ops: - op_type = op.get('type') - if op_type == 'insert': - content.append(str(op.get('node', ''))) - elif op_type == 'update': + op_type = op.get("type") + if op_type == "insert": + content.append(str(op.get("node", ""))) + elif op_type == "update": content.append(f"{op.get('from', '')}->{op.get('to', '')}") - elif op_type == 'delete': + elif op_type == "delete": content.append(f"DEL:{op.get('node', '')}") return content @@ -1011,8 +1099,8 @@ def _token_similarity(self, content1: List[str], content2: List[str]) -> float: return 1.0 # Flatten and tokenize - tokens1 = set(' '.join(content1).split()) - tokens2 = set(' '.join(content2).split()) + tokens1 = set(" ".join(content1).split()) + tokens2 = set(" ".join(content2).split()) if not tokens1 and not tokens2: return 1.0 @@ -1022,7 +1110,9 @@ def _token_similarity(self, content1: List[str], content2: List[str]) -> float: return intersection / union if union > 0 else 0.0 - def _semantic_operation_similarity(self, ops1: List[Dict], ops2: List[Dict]) -> float: + def _semantic_operation_similarity( + self, ops1: List[Dict], ops2: List[Dict] + ) -> float: """ Calculate semantic similarity of operations Considers operation type, target attributes, and value changes @@ -1062,7 +1152,9 @@ def group_ops(ops): return matching_score / len(all_keys) if all_keys else 0.0 - def _structural_operation_similarity(self, ops1: List[Dict], ops2: List[Dict]) -> float: + def _structural_operation_similarity( + self, ops1: List[Dict], ops2: List[Dict] + ) -> float: """ Calculate structural similarity considering operation depth and order """ @@ -1073,7 +1165,7 @@ def _structural_operation_similarity(self, ops1: List[Dict], ops2: List[Dict]) - def get_patterns(ops): patterns = [] for op in ops: - path = op.get('path', []) + path = op.get("path", []) depth = len(path) patterns.append(f"{op['type']}@{depth}") return patterns @@ -1107,7 +1199,7 @@ def _count_node_types(self, ast: Any, counts: Dict = None) -> Dict[str, int]: counts = {} if isinstance(ast, dict): - node_type = ast.get('type', 'unknown') + node_type = ast.get("type", "unknown") counts[node_type] = counts.get(node_type, 0) + 1 for value in ast.values(): @@ -1146,10 +1238,7 @@ def example_usage(): calculator = ASTEditSimilarity(use_lightweight_parser=False) results = calculator.calculate( - before_code=before_code, - gt_code=gt_code, - pred_code=pred_code, - file_type='jsx' + before_code=before_code, gt_code=gt_code, pred_code=pred_code, file_type="jsx" ) print("AST Edit Similarity Results:") @@ -1180,15 +1269,14 @@ def ast_code_similarity(src_code, reference_code, generated_code, framework): "vue": "vue", "react": "jsx", "vanilla": "html", - "angular": "angular" - + "angular": "angular", } results = calculator.calculate( before_code=src_code, gt_code=reference_code, pred_code=generated_code, - file_type=framework_filetype_dic[framework] + file_type=framework_filetype_dic[framework], ) print("\n" + "=" * 70) @@ -1215,8 +1303,7 @@ def ast_code_similarity(src_code, reference_code, generated_code, framework): print("=" * 70 + "\n") # return results - return results['ast_op'], results['ast_mcs'] - + return results["ast_op"], results["ast_mcs"] def compute_edit_bleu(src_code, reference_code, generated_code): @@ -1273,13 +1360,12 @@ def compute_edit_codebleu(src_code, reference_code, generated_code): pred_modified = calculator._extract_modified_code(src_code, generated_code) # Parse ASTs - gt_ast = calculator.parser.parse(reference_code, 'jsx') - pred_ast = calculator.parser.parse(generated_code, 'jsx') + gt_ast = calculator.parser.parse(reference_code, "jsx") + pred_ast = calculator.parser.parse(generated_code, "jsx") # Calculate CodeBLEU codebleu_results = CodeBLEUCalculator.compute_codebleu( - gt_modified, pred_modified, - gt_ast, pred_ast + gt_modified, pred_modified, gt_ast, pred_ast ) print("\n" + "=" * 60) @@ -1337,4 +1423,4 @@ def compute_edit_codebleu(src_code, reference_code, generated_code): # print("Example 4: Complete Analysis") # print("=" * 60) # -# full_results = ast_code_similarity(before, gt, pred) \ No newline at end of file +# full_results = ast_code_similarity(before, gt, pred) diff --git a/src/design_bench/evaluator/metric_utils.py b/src/design_bench/evaluator/metric_utils.py index 92fee8a..7637cee 100644 --- a/src/design_bench/evaluator/metric_utils.py +++ b/src/design_bench/evaluator/metric_utils.py @@ -1,14 +1,21 @@ -import subprocess -import re -from selenium.webdriver.firefox.service import Service import base64 -from selenium import webdriver -import time +import json import os +import re +import subprocess +import time + +from selenium import webdriver from selenium.webdriver.firefox.options import Options -import json +from selenium.webdriver.firefox.service import Service from selenium.webdriver.support.wait import WebDriverWait -from config import * +from webdriver_manager.firefox import GeckoDriverManager + +from .config import ( + DesignBench_Path, + deploy_link_dic, + project_code_path_dic, +) class WebDriver: @@ -26,7 +33,7 @@ def __init__( def create_driver(self): # service = Service() - service = Service(executable_path=firefox_path) + service = Service(GeckoDriverManager().install()) options = Options() if self.headless: options.add_argument("-headless") diff --git a/uv.lock b/uv.lock index 4f2c466..ad4d592 100644 --- a/uv.lock +++ b/uv.lock @@ -1,6 +1,121 @@ version = 1 revision = 3 requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] + +[[package]] +name = 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uv.lock | 24 +++++ 6 files changed, 113 insertions(+), 77 deletions(-) diff --git a/evaluation/run_edit_task.py b/evaluation/run_edit_task.py index f6e1e12..77238df 100644 --- a/evaluation/run_edit_task.py +++ b/evaluation/run_edit_task.py @@ -1,4 +1,6 @@ from dotenv import load_dotenv +from loguru import logger +from tqdm import tqdm from design_bench.evaluator.compile import collect_compile_information from design_bench.evaluator.config import Task @@ -8,6 +10,9 @@ def main(): + logger.remove() + logger.add(lambda msg: tqdm.write(msg, end="")) + models = [ # "claude-3-7-sonnet-20250219", "gpt-4o-2024-11-20", diff --git a/pyproject.toml b/pyproject.toml index ed3a9f6..cd039ea 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,6 +10,7 @@ requires-python = ">=3.12" dependencies = [ "clip", "datasets>=4.5.0", + "loguru>=0.7.3", "openai>=2.16.0", "opencv-python>=4.13.0.90", "python-dotenv>=1.2.1", diff --git a/src/design_bench/evaluator/config.py b/src/design_bench/evaluator/config.py index 52ebb38..3653700 100644 --- a/src/design_bench/evaluator/config.py +++ b/src/design_bench/evaluator/config.py @@ -1,7 +1,7 @@ from enum import StrEnum, auto from typing import Dict, Final -DesignBench_Path = "" +DesignBench_Path = "/root/ghq/github.com/creative-graphic-design/DesignBench/" class Framework(StrEnum): @@ -55,6 +55,6 @@ class Mode(StrEnum): format_dic: Final[Dict[Framework, str]] = { Framework.vue: "vue", Framework.react: "jsx", - Framework.value: "html", + Framework.vanilla: "html", Framework.angular: "angular", } diff --git a/src/design_bench/evaluator/main.py b/src/design_bench/evaluator/main.py index 7e3d5bc..e54f040 100644 --- a/src/design_bench/evaluator/main.py +++ b/src/design_bench/evaluator/main.py @@ -1,6 +1,7 @@ import json import os +from loguru import logger from PIL import Image from tqdm.auto import tqdm @@ -22,22 +23,22 @@ def get_begin_end(framework: Framework, task: Task) -> range: # (framework, task): (begin, end) task_ranges = { - (Framework.VANILLA, Task.GENERATION): (1, 120), - (Framework.REACT, Task.GENERATION): (1, 109), - (Framework.VUE, Task.GENERATION): (1, 118), - (Framework.ANGULAR, Task.GENERATION): (1, 83), - (Framework.VANILLA, Task.EDIT): (1, 80), - (Framework.REACT, Task.EDIT): (1, 108), - (Framework.VUE, Task.EDIT): (1, 105), - (Framework.ANGULAR, Task.EDIT): (1, 66), - (Framework.VANILLA, Task.REPAIR): (1, 28), - (Framework.REACT, Task.REPAIR): (1, 28), - (Framework.VUE, Task.REPAIR): (1, 27), - (Framework.ANGULAR, Task.REPAIR): (1, 28), - (Framework.VANILLA, Task.COMPILE): (1, 10), - (Framework.REACT, Task.COMPILE): (1, 10), - (Framework.VUE, Task.COMPILE): (1, 10), - (Framework.ANGULAR, Task.COMPILE): (1, 10), + (Framework.vanilla, Task.generation): (1, 120), + (Framework.react, Task.generation): (1, 109), + (Framework.vue, Task.generation): (1, 118), + (Framework.angular, Task.generation): (1, 83), + (Framework.vanilla, Task.edit): (1, 80), + (Framework.react, Task.edit): (1, 108), + (Framework.vue, Task.edit): (1, 105), + (Framework.angular, Task.edit): (1, 66), + (Framework.vanilla, Task.repair): (1, 28), + (Framework.react, Task.repair): (1, 28), + (Framework.vue, Task.repair): (1, 27), + (Framework.angular, Task.repair): (1, 28), + (Framework.vanilla, Task.compile): (1, 10), + (Framework.react, Task.compile): (1, 10), + (Framework.vue, Task.compile): (1, 10), + (Framework.angular, Task.compile): (1, 10), } try: @@ -49,7 +50,7 @@ def get_begin_end(framework: Framework, task: Task) -> range: def get_generation_metric(web_name, model_name, frame_work, implement_framework): - prediction_path = folder_dic[Task.GENERATION] + prediction_path = folder_dic[Task.generation] reference_img_path = ( prediction_path + f"{frame_work}/" + f"{web_name}/{web_name}.png" ) @@ -98,7 +99,7 @@ def get_generation_metric(web_name, model_name, frame_work, implement_framework) def get_repair_metric(web_name, model_name, framework, mode, llm_judge_flag): - prediction_path = folder_dic[Task.REPAIR] + prediction_path = folder_dic[Task.repair] generated_code_path = ( prediction_path + f"RepairResults/{framework}-{framework}/{model_name}/{framework}_{web_name}_{model_name}_{framework}_{mode}.{format_dic[framework]}" @@ -285,7 +286,7 @@ def get_repair_metric(web_name, model_name, framework, mode, llm_judge_flag): def get_edit_metric(web_name, model_name, framework, mode, llm_judge_flag): - prediction_path = folder_dic[Task.EDIT] + prediction_path = folder_dic[Task.edit] generated_code_path = ( prediction_path + f"EditResults/{framework}-{framework}/{model_name}/{framework}_{web_name}_{model_name}_{framework}_{mode}.{format_dic[framework]}" @@ -373,7 +374,7 @@ def get_edit_metric(web_name, model_name, framework, mode, llm_judge_flag): ) ) - print("angular score:", angular_code_score) + logger.info(f"angular score: {angular_code_score}") src_ts_code = src_code["ts"] reference_ts_code = reference_code["ts"] @@ -397,7 +398,7 @@ def get_edit_metric(web_name, model_name, framework, mode, llm_judge_flag): framework=framework, ) - print("ts score:", ts_code_score) + logger.info(f"ts score: {ts_code_score}") code_score = 0.5 * angular_code_score + 0.5 * ts_code_score ast_code_op_score = ( 0.5 * ts_ast_code_op_score + 0.5 * angular_ast_code_op_score @@ -441,7 +442,7 @@ def get_edit_metric(web_name, model_name, framework, mode, llm_judge_flag): def evaluate_repair(models, frame_works, modes, llm_judge_flag): for frame_work in frame_works: - iterate_range = get_begin_end(framework=frame_work, task=Task.REPAIR) + iterate_range = get_begin_end(framework=frame_work, task=Task.repair) for model_name in models: for mode in modes: res_path = f"./res/DesignRepair/{frame_work}_{mode}.json" @@ -492,7 +493,7 @@ def evaluate_repair(models, frame_works, modes, llm_judge_flag): def evaluate_edit(models, frame_works, modes, llm_judge_flag): for frame_work in frame_works: - iterate_range = get_begin_end(framework=frame_work, task=Task.EDIT) + iterate_range = get_begin_end(framework=frame_work, task=Task.edit) for model_name in models: for mode in modes: res_path = f"./res/DesignEdit/{frame_work}_{mode}.json" @@ -543,7 +544,7 @@ def evaluate_edit(models, frame_works, modes, llm_judge_flag): def evaluate_generation(models, frame_works, implemented_frameworks): for frame_work in frame_works: - iterate_range = get_begin_end(framework=frame_work, task=Task.GENERATION) + iterate_range = get_begin_end(framework=frame_work, task=Task.generation) for implement_framework in implemented_frameworks: res_path = f"./res/DesignGeneration/{frame_work}_{implement_framework}.json" diff --git a/src/design_bench/evaluator/metric_ast.py b/src/design_bench/evaluator/metric_ast.py index aa968a8..4edbbf3 100644 --- a/src/design_bench/evaluator/metric_ast.py +++ b/src/design_bench/evaluator/metric_ast.py @@ -13,6 +13,8 @@ from dataclasses import dataclass from typing import Any, Dict, List, Tuple +from loguru import logger + @dataclass class ASTNode: @@ -634,7 +636,7 @@ def calculate( before_code, gt_code, pred_code, file_type ) except Exception as e: - print(f"Error calculating AST similarity: {e}") + logger.warning(f"Error calculating AST similarity: {e}") import traceback traceback.print_exc() @@ -662,26 +664,26 @@ def _full_ast_similarity( ) -> Dict[str, float]: """Full AST-based similarity (requires Node.js)""" # Parse all versions - print("Parsing before_code...") + logger.info("Parsing before_code...") before_ast = self.parser.parse(before_code, file_type) - print("Parsing gt_code...") + logger.info("Parsing gt_code...") gt_ast = self.parser.parse(gt_code, file_type) - print("Parsing pred_code...") + logger.info("Parsing pred_code...") pred_ast = self.parser.parse(pred_code, file_type) # Extract operations - print("Extracting GT operations...") + logger.info("Extracting GT operations...") gt_ops = ASTDiffer.extract_operations(before_ast, gt_ast) - print(f"Found {len(gt_ops)} GT operations") + logger.info(f"Found {len(gt_ops)} GT operations") - print("Extracting pred operations...") + logger.info("Extracting pred operations...") pred_ops = ASTDiffer.extract_operations(before_ast, pred_ast) - print(f"Found {len(pred_ops)} pred operations") + logger.info(f"Found {len(pred_ops)} pred operations") # Match operations (find common edit locations) - print("Matching operations...") + logger.info("Matching operations...") matched_pairs = self._match_operations(gt_ops, pred_ops) - print(f"Matched {len(matched_pairs)} operation pairs") + logger.info(f"Matched {len(matched_pairs)} operation pairs") # Calculate operation similarity (where the edits are) ast_op = ( @@ -698,22 +700,22 @@ def _full_ast_similarity( [self._extract_op_content(op2) for _, op2 in matched_pairs] ) - print(f"GT matched content length: {len(gt_matched_content)}") - print(f"Pred matched content length: {len(pred_matched_content)}") + logger.info(f"GT matched content length: {len(gt_matched_content)}") + logger.info(f"Pred matched content length: {len(pred_matched_content)}") # Calculate BLEU score on matched content only if gt_matched_content and pred_matched_content: - print("Calculating BLEU on matched operations...") + logger.info("Calculating BLEU on matched operations...") bleu_results = CodeBLEUCalculator.compute_bleu( gt_matched_content, pred_matched_content ) - print("Calculating CodeBLEU on matched operations...") + logger.info("Calculating CodeBLEU on matched operations...") codebleu_results = CodeBLEUCalculator.compute_codebleu( gt_matched_content, pred_matched_content, gt_ast, pred_ast ) else: - print("No matched content found, using fallback scores") + logger.info("No matched content found, using fallback scores") if len(pred_ops) == 0 and len(gt_ops) == 0: bleu_results = { "bleu": 1.0, @@ -1241,10 +1243,10 @@ def example_usage(): before_code=before_code, gt_code=gt_code, pred_code=pred_code, file_type="jsx" ) - print("AST Edit Similarity Results:") - print(f" AST-TED (Tree Edit Distance): {results['ast_ted']:.4f}") - print(f" AST-OP (Operation Matching): {results['ast_op']:.4f}") - print(f" AST-ES (Combined): {results['ast_es']:.4f}") + logger.info("AST Edit Similarity Results:") + logger.info(f" AST-TED (Tree Edit Distance): {results['ast_ted']:.4f}") + logger.info(f" AST-OP (Operation Matching): {results['ast_op']:.4f}") + logger.info(f" AST-ES (Combined): {results['ast_es']:.4f}") return results @@ -1279,28 +1281,30 @@ def ast_code_similarity(src_code, reference_code, generated_code, framework): file_type=framework_filetype_dic[framework], ) - print("\n" + "=" * 70) - print("AST Edit Similarity Results (CodeBLEU on Matched Operations)") - print("=" * 70) - print(f" AST-TED (Tree Edit Distance): {results['ast_ted']:.4f}") - print(f" AST-OP (Operation Matching): {results['ast_op']:.4f}") - print(f" - Matched operations: {results['matched_ops']}") - print(f" - Total GT operations: {results['total_gt_ops']}") - print(f" - Total Pred operations: {results['total_pred_ops']}") - print("-" * 70) - print("BLEU Scores (on matched operations only):") - print(f" BLEU: {results['bleu']:.4f}") - print(f" BLEU-4: {results['bleu-4']:.4f}") - print("-" * 70) - print("CodeBLEU Components (on matched operations only):") - print(f" CodeBLEU: {results['codebleu']:.4f}") - print(f" N-gram Match: {results['ngram_match']:.4f}") - print(f" Syntax Match: {results['syntax_match']:.4f}") - print(f" Dataflow Match: {results['dataflow_match']:.4f}") - print("-" * 70) - print(f" AST-MCS (Modified Content): {results['ast_mcs']:.4f}") - print(f" AST-ES (Combined Score): {results['ast_es']:.4f}") - print("=" * 70 + "\n") + logger.info("") + logger.info("=" * 70) + logger.info("AST Edit Similarity Results (CodeBLEU on Matched Operations)") + logger.info("=" * 70) + logger.info(f" AST-TED (Tree Edit Distance): {results['ast_ted']:.4f}") + logger.info(f" AST-OP (Operation Matching): {results['ast_op']:.4f}") + logger.info(f" - Matched operations: {results['matched_ops']}") + logger.info(f" - Total GT operations: {results['total_gt_ops']}") + logger.info(f" - Total Pred operations: {results['total_pred_ops']}") + logger.info("-" * 70) + logger.info("BLEU Scores (on matched operations only):") + logger.info(f" BLEU: {results['bleu']:.4f}") + logger.info(f" BLEU-4: {results['bleu-4']:.4f}") + logger.info("-" * 70) + logger.info("CodeBLEU Components (on matched operations only):") + logger.info(f" CodeBLEU: {results['codebleu']:.4f}") + logger.info(f" N-gram Match: {results['ngram_match']:.4f}") + logger.info(f" Syntax Match: {results['syntax_match']:.4f}") + logger.info(f" Dataflow Match: {results['dataflow_match']:.4f}") + logger.info("-" * 70) + logger.info(f" AST-MCS (Modified Content): {results['ast_mcs']:.4f}") + logger.info(f" AST-ES (Combined Score): {results['ast_es']:.4f}") + logger.info("=" * 70) + logger.info("") # return results return results["ast_op"], results["ast_mcs"] @@ -1327,16 +1331,17 @@ def compute_edit_bleu(src_code, reference_code, generated_code): # Calculate BLEU bleu_results = CodeBLEUCalculator.compute_bleu(gt_modified, pred_modified) - print("\n" + "=" * 60) - print("BLEU Scores on Modified Code:") - print("=" * 60) - print(f" BLEU: {bleu_results['bleu']:.4f}") - print(f" BLEU-1: {bleu_results['bleu-1']:.4f}") - print(f" BLEU-2: {bleu_results['bleu-2']:.4f}") - print(f" BLEU-3: {bleu_results['bleu-3']:.4f}") - print(f" BLEU-4: {bleu_results['bleu-4']:.4f}") - print(f" BP: {bleu_results['bp']:.4f}") - print("=" * 60 + "\n") + logger.info("") + logger.info("=" * 60) + logger.info("BLEU Scores on Modified Code:") + logger.info("=" * 60) + logger.info(f" BLEU: {bleu_results['bleu']:.4f}") + logger.info(f" BLEU-1: {bleu_results['bleu-1']:.4f}") + logger.info(f" BLEU-2: {bleu_results['bleu-2']:.4f}") + logger.info(f" BLEU-3: {bleu_results['bleu-3']:.4f}") + logger.info(f" BLEU-4: {bleu_results['bleu-4']:.4f}") + logger.info(f" BP: {bleu_results['bp']:.4f}") + logger.info("=" * 60 + "\n") return bleu_results diff --git a/uv.lock b/uv.lock index ad4d592..84c0c28 100644 --- a/uv.lock +++ b/uv.lock @@ -344,6 +344,7 @@ source = { editable = "." } dependencies = [ { name = "clip" }, { name = "datasets" }, + { name = "loguru" }, { name = "openai" }, { name = "opencv-python" }, { name = "python-dotenv" }, @@ -367,6 +368,7 @@ dev = [ requires-dist = [ { name = "clip", git = "https://github.com/openai/CLIP" }, { name = "datasets", specifier = ">=4.5.0" }, + { name = "loguru", specifier = ">=0.7.3" }, { name = "openai", specifier = ">=2.16.0" }, { name = "opencv-python", specifier = ">=4.13.0.90" }, { name = "python-dotenv", specifier = ">=1.2.1" }, @@ -750,6 +752,19 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/83/60/d497a310bde3f01cb805196ac61b7ad6dc5dcf8dce66634dc34364b20b4f/lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc", size = 12097, upload-time = 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}, +] + [[package]] name = "wsproto" version = "1.3.2" From 0543b44ee3d7b97f20f19428f69c9c1a3d7b8399 Mon Sep 17 00:00:00 2001 From: Shunsuke KITADA Date: Fri, 30 Jan 2026 17:15:23 +0000 Subject: [PATCH 4/5] fix: standardize task names and improve logging in evaluation functions --- evaluation/run_edit_task.py | 2 +- mise.toml | 1 + src/design_bench/evaluator/compile.py | 22 ++++++++++--------- src/design_bench/evaluator/main.py | 25 +++++++++++++++------- src/design_bench/evaluator/metric_utils.py | 5 +++-- 5 files changed, 34 insertions(+), 21 deletions(-) diff --git a/evaluation/run_edit_task.py b/evaluation/run_edit_task.py index 77238df..21f7243 100644 --- a/evaluation/run_edit_task.py +++ b/evaluation/run_edit_task.py @@ -47,7 +47,7 @@ def main(): continue for mode in modes: collect_compile_information( - task_name=Task.EDIT, + task_name=Task.edit, frame_work=frame_work, implemented_framework_or_mode=mode, ) diff --git a/mise.toml b/mise.toml index d5b79a8..e7f3646 100644 --- a/mise.toml +++ b/mise.toml @@ -1,3 +1,4 @@ [tools] node = "20.19" npm = "latest" +"npm:@angular/cli" = "latest" diff --git a/src/design_bench/evaluator/compile.py b/src/design_bench/evaluator/compile.py index 5a9cb04..5134b35 100644 --- a/src/design_bench/evaluator/compile.py +++ b/src/design_bench/evaluator/compile.py @@ -117,30 +117,32 @@ def collect_compile_information(task_name, frame_work, implemented_framework_or_ json_path = "" base_folder = "" - if task_name == Task.GENERATION: + if task_name == Task.generation: json_path = ( - f"./res/DesignGeneration/{frame_work}_{implemented_framework_or_mode}.json" + DesignBench_Path + + f"res/DesignGeneration/{frame_work}_{implemented_framework_or_mode}.json" ) base_folder = ( DesignBench_Path - + f"data/DesignGeneration/GenerationResults/{frame_work}-{implemented_framework_or_mode}" + + f"data/generation/GenerationResults/{frame_work}-{implemented_framework_or_mode}" ) - if task_name == Task.EDIT: + if task_name == Task.edit: json_path = ( - f"./res/DesignEdit/{frame_work}_{implemented_framework_or_mode}.json" + DesignBench_Path + + f"res/DesignEdit/{frame_work}_{implemented_framework_or_mode}.json" ) base_folder = ( - DesignBench_Path + f"data/DesignEdit/EditResults/{frame_work}-{frame_work}" + DesignBench_Path + f"data/edit/EditResults/{frame_work}-{frame_work}" ) - if task_name == Task.REPAIR: + if task_name == Task.repair: json_path = ( - f"./res/DesignRepair/{frame_work}_{implemented_framework_or_mode}.json" + DesignBench_Path + + f"res/DesignRepair/{frame_work}_{implemented_framework_or_mode}.json" ) base_folder = ( - DesignBench_Path - + f"data/DesignRepair/RepairResults/{frame_work}-{frame_work}" + DesignBench_Path + f"data/repair/RepairResults/{frame_work}-{frame_work}" ) # if not os.path.isfile(json_path): diff --git a/src/design_bench/evaluator/main.py b/src/design_bench/evaluator/main.py index e54f040..f6d0b5c 100644 --- a/src/design_bench/evaluator/main.py +++ b/src/design_bench/evaluator/main.py @@ -5,7 +5,7 @@ from PIL import Image from tqdm.auto import tqdm -from .config import Framework, Task, folder_dic, format_dic +from .config import DesignBench_Path, Framework, Task, folder_dic, format_dic from .metric import ( clip_similarity, code_similarity, @@ -199,7 +199,7 @@ def get_repair_metric(web_name, model_name, framework, mode, llm_judge_flag): ) ) - print("angular score:", angular_code_score) + logger.info(f"angular score: {angular_code_score}") src_ts_code = src_code["ts"] # reference_ts_code = reference_code["ts"] @@ -227,7 +227,7 @@ def get_repair_metric(web_name, model_name, framework, mode, llm_judge_flag): generated_code=generated_code, ) - print("ts score:", ts_code_score) + logger.info(f"ts score: {ts_code_score}") code_score = 0.5 * angular_code_score + 0.5 * ts_code_score ast_code_op_score = ( 0.5 * ts_ast_code_op_score + 0.5 * angular_ast_code_op_score @@ -445,7 +445,9 @@ def evaluate_repair(models, frame_works, modes, llm_judge_flag): iterate_range = get_begin_end(framework=frame_work, task=Task.repair) for model_name in models: for mode in modes: - res_path = f"./res/DesignRepair/{frame_work}_{mode}.json" + res_path = ( + DesignBench_Path + f"res/DesignRepair/{frame_work}_{mode}.json" + ) if os.path.exists(res_path): with open(res_path, "r") as fs: results = json.loads(fs.read()) @@ -496,7 +498,7 @@ def evaluate_edit(models, frame_works, modes, llm_judge_flag): iterate_range = get_begin_end(framework=frame_work, task=Task.edit) for model_name in models: for mode in modes: - res_path = f"./res/DesignEdit/{frame_work}_{mode}.json" + res_path = DesignBench_Path + f"res/DesignEdit/{frame_work}_{mode}.json" if os.path.exists(res_path): with open(res_path, "r") as fs: results = json.loads(fs.read()) @@ -519,7 +521,7 @@ def evaluate_edit(models, frame_works, modes, llm_judge_flag): llm_judge_flag=False, ) results[model_name][str(web_name)] = metric - print(metric) + logger.info(metric) else: try: if "llm score" in results[model_name][str(web_name)]: @@ -547,7 +549,10 @@ def evaluate_generation(models, frame_works, implemented_frameworks): iterate_range = get_begin_end(framework=frame_work, task=Task.generation) for implement_framework in implemented_frameworks: - res_path = f"./res/DesignGeneration/{frame_work}_{implement_framework}.json" + res_path = ( + DesignBench_Path + + f"res/DesignGeneration/{frame_work}_{implement_framework}.json" + ) if os.path.exists(res_path): with open(res_path, "r") as fs: results = json.loads(fs.read()) @@ -574,8 +579,12 @@ def evaluate_generation(models, frame_works, implemented_frameworks): ) results[model_name][web_name] = metrics + from .config import DesignBench_Path + with open( - f"res/DesignGeneration/{frame_work}_{implement_framework}.json", "w" + DesignBench_Path + + f"res/DesignGeneration/{frame_work}_{implement_framework}.json", + "w", ) as fs: fs.write(json.dumps(results, indent=4)) diff --git a/src/design_bench/evaluator/metric_utils.py b/src/design_bench/evaluator/metric_utils.py index 7637cee..f0826bf 100644 --- a/src/design_bench/evaluator/metric_utils.py +++ b/src/design_bench/evaluator/metric_utils.py @@ -5,6 +5,7 @@ import subprocess import time +from loguru import logger from selenium import webdriver from selenium.webdriver.firefox.options import Options from selenium.webdriver.firefox.service import Service @@ -184,7 +185,7 @@ def render_ui(code_path, save_path, frame_work): # ToDo: input the generated code file path (e.g., /DesignEdit/1/result/1-gemini.html), # save the screenshot of the image (e.g., /DesignEdit/1/result/1-gemini.png) - print(code_path) + logger.info(code_path) if frame_work == "vanilla": print("render vanilla") try: @@ -294,7 +295,7 @@ def run_angular_app( if "ERROR" in line: compilation_success = False - print("ERROR") + logger.warning("ERROR") if "Watch mode enabled" in line: if not compilation_success: From 033cb70be60de3df5fdc02236b2e44080b449d45 Mon Sep 17 00:00:00 2001 From: Shunsuke KITADA Date: Mon, 2 Feb 2026 10:47:36 +0000 Subject: [PATCH 5/5] feat: update --- src/design_bench/evaluator/main.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/design_bench/evaluator/main.py b/src/design_bench/evaluator/main.py index f6d0b5c..2d528bb 100644 --- a/src/design_bench/evaluator/main.py +++ b/src/design_bench/evaluator/main.py @@ -487,7 +487,7 @@ def evaluate_repair(models, frame_works, modes, llm_judge_flag): "llm score" ] except Exception as e: - print(f"error for {web_name}", e) + logger.warning(f"error for {web_name} {e}") with open(res_path, "w") as fs: fs.write(json.dumps(results, indent=4)) @@ -538,7 +538,7 @@ def evaluate_edit(models, frame_works, modes, llm_judge_flag): "llm score" ] except Exception as e: - print(f"error for {web_name}", e) + logger.warning(f"error for {web_name} {e}") with open(res_path, "w") as fs: fs.write(json.dumps(results, indent=4))