From cb3dd19ee8fd4cea2558936d9f82deb969767f1f Mon Sep 17 00:00:00 2001 From: thkim7 Date: Thu, 11 Sep 2025 17:41:56 +0900 Subject: [PATCH 1/7] =?UTF-8?q?feat:=20=EC=9C=A0=EC=82=AC=EB=8F=84=20torch?= =?UTF-8?q?=20=EC=82=AD=EC=A0=9C=20=ED=9B=84=20onnx=20=EC=B6=94=EA=B0=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .github/workflows/ci-python.yml | 2 + .../app/service/similarity_service.py | 4 +- .../app/utils/similarity_analyzer.py | 105 +++++-------- apps/pre-processing-service/poetry.lock | 141 +++++++++++++++++- apps/pre-processing-service/pyproject.toml | 10 +- 5 files changed, 178 insertions(+), 84 deletions(-) diff --git a/.github/workflows/ci-python.yml b/.github/workflows/ci-python.yml index ad50c51b..54d1ab1a 100644 --- a/.github/workflows/ci-python.yml +++ b/.github/workflows/ci-python.yml @@ -2,6 +2,8 @@ name: CI (Python/FastAPI) on: push: + branches: + - feature/onnx tags: - 'pre-processing-v*' pull_request: diff --git a/apps/pre-processing-service/app/service/similarity_service.py b/apps/pre-processing-service/app/service/similarity_service.py index 0ccb6b2c..dbd2b762 100644 --- a/apps/pre-processing-service/app/service/similarity_service.py +++ b/apps/pre-processing-service/app/service/similarity_service.py @@ -1,4 +1,4 @@ -from app.utils.similarity_analyzer import SimilarityAnalyzer +from app.utils.similarity_analyzer import SimilarityAnalyzerONNX from app.errors.CustomException import InvalidItemDataException from ..model.schemas import RequestSadaguSimilarity from loguru import logger @@ -43,7 +43,7 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict analysis_mode = "matched_products" try: - analyzer = SimilarityAnalyzer() + analyzer = SimilarityAnalyzerONNX() logger.info( f"키워드 '{keyword}'와 {len(candidates)}개 상품의 유사도 분석 시작... (모드: {analysis_mode})" diff --git a/apps/pre-processing-service/app/utils/similarity_analyzer.py b/apps/pre-processing-service/app/utils/similarity_analyzer.py index f1c3104e..aec6d48b 100644 --- a/apps/pre-processing-service/app/utils/similarity_analyzer.py +++ b/apps/pre-processing-service/app/utils/similarity_analyzer.py @@ -1,42 +1,37 @@ -import torch import numpy as np from sklearn.metrics.pairwise import cosine_similarity -from transformers import AutoTokenizer, AutoModel from loguru import logger +import onnxruntime as ort +from transformers import AutoTokenizer +class SimilarityAnalyzerONNX: + """ONNX 기반 텍스트 유사도 분석기""" -class SimilarityAnalyzer: - """텍스트 유사도 분석기""" - - def __init__(self): + def __init__(self, model_path: str = "klue_bert.onnx"): try: - logger.info("KLUE BERT 모델 로딩 시도 중...") + logger.info("토크나이저 로딩 중: klue/bert-base") self.tokenizer = AutoTokenizer.from_pretrained("klue/bert-base") - self.model = AutoModel.from_pretrained("klue/bert-base") - logger.success("KLUE BERT 모델 로딩 성공") + logger.info(f"ONNX 모델 로딩 중: {model_path}") + self.ort_session = ort.InferenceSession(model_path) + logger.success("ONNX 모델 로딩 성공") except Exception as e: - logger.warning(f"KLUE BERT 로딩 실패, 다국어 BERT로 대체: {e}") - try: - logger.info("다국어 BERT 모델 로딩 시도 중...") - self.tokenizer = AutoTokenizer.from_pretrained( - "bert-base-multilingual-cased" - ) - self.model = AutoModel.from_pretrained("bert-base-multilingual-cased") - logger.success("다국어 BERT 모델 로딩 성공") - except Exception as e2: - logger.error(f"모든 BERT 모델 로딩 실패: {e2}") - raise e2 + logger.error(f"모델 로딩 실패: {e}") + raise e def get_embedding(self, text: str) -> np.ndarray: - """텍스트 임베딩 생성""" + """텍스트 임베딩 생성 (ONNX)""" try: logger.debug(f"임베딩 생성 시작: text='{text[:50]}'") + # 토큰화 inputs = self.tokenizer( - text, return_tensors="pt", padding=True, truncation=True, max_length=128 + text, return_tensors="np", padding=True, truncation=True, max_length=128 ) - with torch.no_grad(): - outputs = self.model(**inputs) - embedding = outputs.last_hidden_state[:, 0, :].numpy() + ort_inputs = { + "input_ids": inputs["input_ids"].astype(np.int64), + "attention_mask": inputs["attention_mask"].astype(np.int64) + } + ort_outs = self.ort_session.run(None, ort_inputs) + embedding = ort_outs[0][:, 0, :] # [CLS] 토큰 임베딩 logger.debug(f"임베딩 생성 완료: shape={embedding.shape}") return embedding except Exception as e: @@ -46,65 +41,35 @@ def get_embedding(self, text: str) -> np.ndarray: def calculate_similarity(self, text1: str, text2: str) -> float: """두 텍스트 간 유사도 계산""" try: - logger.debug( - f"유사도 계산 시작: text1='{text1[:30]}', text2='{text2[:30]}'" - ) - embedding1 = self.get_embedding(text1) - embedding2 = self.get_embedding(text2) - similarity = cosine_similarity(embedding1, embedding2)[0][0] + logger.debug(f"유사도 계산 시작: text1='{text1[:30]}', text2='{text2[:30]}'") + emb1 = self.get_embedding(text1) + emb2 = self.get_embedding(text2) + similarity = cosine_similarity(emb1, emb2)[0][0] logger.debug(f"유사도 계산 완료: similarity={similarity:.4f}") return similarity except Exception as e: - logger.error( - f"유사도 계산 오류: text1='{text1[:30]}', text2='{text2[:30]}', error='{e}'" - ) + logger.error(f"유사도 계산 오류: {e}") raise - def analyze_similarity_batch( - self, keyword: str, product_titles: list[str] - ) -> list[dict]: - """배치로 유사도 분석""" - logger.info( - f"배치 유사도 분석 시작: keyword='{keyword}', titles_count={len(product_titles)}" - ) - + def analyze_similarity_batch(self, keyword: str, product_titles: list[str]) -> list[dict]: + """배치 유사도 분석""" + logger.info(f"배치 유사도 분석 시작: keyword='{keyword}', titles_count={len(product_titles)}") try: - keyword_embedding = self.get_embedding(keyword) + keyword_emb = self.get_embedding(keyword) results = [] for i, title in enumerate(product_titles): try: - logger.debug( - f"유사도 계산 중 ({i + 1}/{len(product_titles)}): title='{title[:30]}'" - ) - title_embedding = self.get_embedding(title) - similarity = cosine_similarity(keyword_embedding, title_embedding)[ - 0 - ][0] - - results.append( - { - "index": i, - "title": title, - "similarity": float(similarity), - "score": float(similarity), - } - ) - logger.debug( - f"유사도 계산 완료 ({i + 1}/{len(product_titles)}): similarity={similarity:.4f}" - ) + title_emb = self.get_embedding(title) + sim = cosine_similarity(keyword_emb, title_emb)[0][0] + results.append({"index": i, "title": title, "similarity": float(sim), "score": float(sim)}) except Exception as e: logger.error(f"유사도 계산 오류 (제목: {title[:30]}): {e}") - results.append( - {"index": i, "title": title, "similarity": 0.0, "score": 0.0} - ) + results.append({"index": i, "title": title, "similarity": 0.0, "score": 0.0}) - # 유사도 기준 내림차순 정렬 results.sort(key=lambda x: x["similarity"], reverse=True) - logger.info( - f"배치 유사도 분석 완료: 총 {len(results)}개, 최고 유사도={results[0]['similarity']:.4f}" - ) + logger.info(f"배치 유사도 분석 완료: 총 {len(results)}개, 최고 유사도={results[0]['similarity']:.4f}") return results except Exception as e: - logger.error(f"배치 유사도 분석 실패: keyword='{keyword}', error='{e}'") + logger.error(f"배치 유사도 분석 실패: {e}") raise diff --git a/apps/pre-processing-service/poetry.lock b/apps/pre-processing-service/poetry.lock index 2a535f3d..d34b3215 100644 --- a/apps/pre-processing-service/poetry.lock +++ b/apps/pre-processing-service/poetry.lock @@ -438,6 +438,24 @@ files = [ {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +[[package]] +name = "coloredlogs" +version = "15.0.1" +description = "Colored terminal output for Python's logging module" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["main"] +files = [ + {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"}, + {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"}, +] + +[package.dependencies] +humanfriendly = 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hash = "sha256:b7de0142ddc81bfc5c7507eea19da920b92252b548b96186caf94a5e2527d310"}, ] +[[package]] +name = "pyreadline3" +version = "3.5.4" +description = "A python implementation of GNU readline." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "sys_platform == \"win32\"" +files = [ + {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6"}, + {file = "pyreadline3-3.5.4.tar.gz", hash = "sha256:8d57d53039a1c75adba8e50dd3d992b28143480816187ea5efbd5c78e6c885b7"}, +] + +[package.extras] +dev = ["build", "flake8", "mypy", "pytest", "twine"] + [[package]] name = "pysocks" version = "1.7.1" @@ -2180,6 +2295,24 @@ typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\"" [package.extras] full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"] +[[package]] +name = "sympy" +version = "1.14.0" +description = "Computer algebra system (CAS) in Python" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5"}, + {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"}, +] + +[package.dependencies] +mpmath = ">=1.1.0,<1.4" + +[package.extras] +dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"] + [[package]] name = "threadpoolctl" version = "3.6.0" @@ -2489,4 +2622,4 @@ h11 = ">=0.9.0,<1" [metadata] lock-version = "2.1" python-versions = ">=3.11,<3.14" -content-hash = "1c4515b957a639ee4f2aecf7e2a9b856228870ff4cdfeccd320dc5376fc3605b" +content-hash = "dfe0ec278c21033d4d35335403a808503862685899dfd5dd6173841fbc18a931" diff --git a/apps/pre-processing-service/pyproject.toml b/apps/pre-processing-service/pyproject.toml index 34ece3ae..38c5b029 100644 --- a/apps/pre-processing-service/pyproject.toml +++ b/apps/pre-processing-service/pyproject.toml @@ -5,15 +5,9 @@ description = "" authors = [ {name = "skip"} ] -readme = "README.md" +# readme = "README.md" requires-python = ">=3.11,<3.14" - -[[tool.poetry.source]] -name = "pytorch" -url = "https://download.pytorch.org/whl/cpu" -priority = "explicit" - [tool.poetry.dependencies] python = ">=3.11,<3.14" fastapi = ">=0.116.1,<0.117.0" @@ -28,7 +22,6 @@ bs4 = ">=0.0.2,<0.0.3" selenium = ">=4.35.0,<5.0.0" transformers = ">=4.56.0,<5.0.0" numpy = ">=2.3.2,<3.0.0" -#torch = ">=2.8.0,<3.0.0" scikit-learn = ">=1.7.1,<2.0.0" python-dotenv = ">=1.1.1,<2.0.0" mecab-python3 = ">=1.0.10,<2.0.0" @@ -41,6 +34,7 @@ google-auth-oauthlib = "^1.2.2" google-api-python-client = "^2.181.0" poetry-core=">=2.1.3,<3.0.0" dbutils=">=3.1.2,<4.0.0" +onnxruntime = "^1.22.1" [build-system] requires = ["poetry-core>=2.0.0,<3.0.0"] From 72002de6a273c0f9445b1b6a047145ebcdcd1e03 Mon Sep 17 00:00:00 2001 From: thkim7 Date: Thu, 11 Sep 2025 17:44:19 +0900 Subject: [PATCH 2/7] =?UTF-8?q?feat:=20=EC=9C=A0=EC=82=AC=EB=8F=84=20torch?= =?UTF-8?q?=20=EC=82=AD=EC=A0=9C=20=ED=9B=84=20onnx=20=EC=B6=94=EA=B0=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../app/utils/similarity_analyzer.py | 32 +++++++++++++++---- 1 file changed, 25 insertions(+), 7 deletions(-) diff --git a/apps/pre-processing-service/app/utils/similarity_analyzer.py b/apps/pre-processing-service/app/utils/similarity_analyzer.py index aec6d48b..d4e7c0c5 100644 --- a/apps/pre-processing-service/app/utils/similarity_analyzer.py +++ b/apps/pre-processing-service/app/utils/similarity_analyzer.py @@ -4,6 +4,7 @@ import onnxruntime as ort from transformers import AutoTokenizer + class SimilarityAnalyzerONNX: """ONNX 기반 텍스트 유사도 분석기""" @@ -28,7 +29,7 @@ def get_embedding(self, text: str) -> np.ndarray: ) ort_inputs = { "input_ids": inputs["input_ids"].astype(np.int64), - "attention_mask": inputs["attention_mask"].astype(np.int64) + "attention_mask": inputs["attention_mask"].astype(np.int64), } ort_outs = self.ort_session.run(None, ort_inputs) embedding = ort_outs[0][:, 0, :] # [CLS] 토큰 임베딩 @@ -41,7 +42,9 @@ def get_embedding(self, text: str) -> np.ndarray: def calculate_similarity(self, text1: str, text2: str) -> float: """두 텍스트 간 유사도 계산""" try: - logger.debug(f"유사도 계산 시작: text1='{text1[:30]}', text2='{text2[:30]}'") + logger.debug( + f"유사도 계산 시작: text1='{text1[:30]}', text2='{text2[:30]}'" + ) emb1 = self.get_embedding(text1) emb2 = self.get_embedding(text2) similarity = cosine_similarity(emb1, emb2)[0][0] @@ -51,9 +54,13 @@ def calculate_similarity(self, text1: str, text2: str) -> float: logger.error(f"유사도 계산 오류: {e}") raise - def analyze_similarity_batch(self, keyword: str, product_titles: list[str]) -> list[dict]: + def analyze_similarity_batch( + self, keyword: str, product_titles: list[str] + ) -> list[dict]: """배치 유사도 분석""" - logger.info(f"배치 유사도 분석 시작: keyword='{keyword}', titles_count={len(product_titles)}") + logger.info( + f"배치 유사도 분석 시작: keyword='{keyword}', titles_count={len(product_titles)}" + ) try: keyword_emb = self.get_embedding(keyword) results = [] @@ -62,13 +69,24 @@ def analyze_similarity_batch(self, keyword: str, product_titles: list[str]) -> l try: title_emb = self.get_embedding(title) sim = cosine_similarity(keyword_emb, title_emb)[0][0] - results.append({"index": i, "title": title, "similarity": float(sim), "score": float(sim)}) + results.append( + { + "index": i, + "title": title, + "similarity": float(sim), + "score": float(sim), + } + ) except Exception as e: logger.error(f"유사도 계산 오류 (제목: {title[:30]}): {e}") - results.append({"index": i, "title": title, "similarity": 0.0, "score": 0.0}) + results.append( + {"index": i, "title": title, "similarity": 0.0, "score": 0.0} + ) results.sort(key=lambda x: x["similarity"], reverse=True) - logger.info(f"배치 유사도 분석 완료: 총 {len(results)}개, 최고 유사도={results[0]['similarity']:.4f}") + logger.info( + f"배치 유사도 분석 완료: 총 {len(results)}개, 최고 유사도={results[0]['similarity']:.4f}" + ) return results except Exception as e: logger.error(f"배치 유사도 분석 실패: {e}") From 99e2f99e506a643ca5005de2c6eb7adbcd70c907 Mon Sep 17 00:00:00 2001 From: thkim7 Date: Thu, 11 Sep 2025 19:27:24 +0900 Subject: [PATCH 3/7] =?UTF-8?q?chore:=20onnx=20=EB=AA=A8=EB=8D=B8=20?= =?UTF-8?q?=EC=A0=80=EC=9E=A5=EC=9A=A9=20=EB=B3=BC=EB=A5=A8=20docker-compo?= =?UTF-8?q?ser=EC=97=90=20=EC=B6=94=EA=B0=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- docker/production/docker-compose.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/docker/production/docker-compose.yml b/docker/production/docker-compose.yml index fa3ca0cc..7ff93250 100644 --- a/docker/production/docker-compose.yml +++ b/docker/production/docker-compose.yml @@ -22,6 +22,12 @@ services: - app-network env_file: - .env.prod + volumes: + - onnx_models:/app/models # ONNX 모델 저장용 볼륨 -> 서버에 만들어야함 + +volumes: + onnx_models: + driver: local networks: app-network: From cab225b2298fe9c6f3f45c438f0ffe6b78b323d1 Mon Sep 17 00:00:00 2001 From: thkim7 Date: Fri, 12 Sep 2025 09:44:19 +0900 Subject: [PATCH 4/7] =?UTF-8?q?chore:=20poetry.lock=20=EC=B6=94=EA=B0=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- poetry.lock | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 poetry.lock diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 00000000..3557bc5a --- /dev/null +++ b/poetry.lock @@ -0,0 +1,7 @@ +# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. +package = [] + +[metadata] +lock-version = "2.1" +python-versions = ">=3.11" +content-hash = "f5666f5625d676c506924a57dc0520a1f3ed2b2c774baed3dc85353594f8473d" From c5ac0ab92de78c7e4ccb17b0261e037991ac6796 Mon Sep 17 00:00:00 2001 From: thkim7 Date: Fri, 12 Sep 2025 10:02:12 +0900 Subject: [PATCH 5/7] =?UTF-8?q?chore:=20poetry.lock=20=EC=B6=94=EA=B0=80?= MIME-Version: 1.0 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6/7] =?UTF-8?q?chore:=20poetry=20run=20black=20&=20ci-pyth?= =?UTF-8?q?on=20=EC=9B=90=EC=83=81=20=EB=B3=B5=EA=B5=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .github/workflows/ci-python.yml | 2 -- apps/pre-processing-service/app/service/similarity_service.py | 2 +- apps/pre-processing-service/app/utils/similarity_analyzer.py | 2 +- 3 files changed, 2 insertions(+), 4 deletions(-) diff --git a/.github/workflows/ci-python.yml b/.github/workflows/ci-python.yml index 54d1ab1a..ad50c51b 100644 --- a/.github/workflows/ci-python.yml +++ b/.github/workflows/ci-python.yml @@ -2,8 +2,6 @@ name: CI (Python/FastAPI) on: push: - branches: - - feature/onnx tags: - 'pre-processing-v*' pull_request: diff --git a/apps/pre-processing-service/app/service/similarity_service.py b/apps/pre-processing-service/app/service/similarity_service.py index 23c34742..dbd2b762 100644 --- a/apps/pre-processing-service/app/service/similarity_service.py +++ b/apps/pre-processing-service/app/service/similarity_service.py @@ -174,4 +174,4 @@ def select_product_by_similarity(self, request: RequestSadaguSimilarity) -> dict logger.error( f"유사도 분석 서비스 오류: job_id={request.job_id}, keyword='{keyword}', error='{e}'" ) - raise InvalidItemDataException() \ No newline at end of file + raise InvalidItemDataException() diff --git a/apps/pre-processing-service/app/utils/similarity_analyzer.py b/apps/pre-processing-service/app/utils/similarity_analyzer.py index b847a10f..d4e7c0c5 100644 --- a/apps/pre-processing-service/app/utils/similarity_analyzer.py +++ b/apps/pre-processing-service/app/utils/similarity_analyzer.py @@ -90,4 +90,4 @@ def analyze_similarity_batch( return results except Exception as e: logger.error(f"배치 유사도 분석 실패: {e}") - raise \ No newline at end of file + raise From 78c43d8261f26d3f74df0b35a610501093caf62e Mon Sep 17 00:00:00 2001 From: thkim7 Date: Fri, 12 Sep 2025 10:06:17 +0900 Subject: [PATCH 7/7] 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