From 1e0674c54d4b9fb47f9c6e88f7424106ea2c64ad Mon Sep 17 00:00:00 2001 From: Fangyin Cheng Date: Wed, 26 Feb 2025 23:51:25 +0800 Subject: [PATCH] fix(model): Fix local embedding error (#2371) --- .dockerignore | 1 - configs/dbgpt-local-llama-cpp-server.toml | 39 +++++ configs/dbgpt-local-qwen.toml | 38 +++++ configs/dbgpt-proxy-deepseek.toml | 41 +++++ packages/dbgpt-accelerator/pyproject.toml | 22 +-- .../src/dbgpt/rag/embedding/embeddings.py | 11 ++ uv.lock | 147 +++++++++--------- 7 files changed, 211 insertions(+), 88 deletions(-) create mode 100644 configs/dbgpt-local-llama-cpp-server.toml create mode 100644 configs/dbgpt-local-qwen.toml create mode 100644 configs/dbgpt-proxy-deepseek.toml diff --git a/.dockerignore b/.dockerignore index 02f15ab61..6be4f972f 100644 --- a/.dockerignore +++ b/.dockerignore @@ -5,7 +5,6 @@ models/ plugins/ pilot/data pilot/message -pilot/meta_data logs/ venv/ .venv/ diff --git a/configs/dbgpt-local-llama-cpp-server.toml b/configs/dbgpt-local-llama-cpp-server.toml new file mode 100644 index 000000000..8a354cdf7 --- /dev/null +++ b/configs/dbgpt-local-llama-cpp-server.toml @@ -0,0 +1,39 @@ +[system] +# Load language from environment variable(It is set by the hook) +language = "${env:DBGPT_LANG:-zh}" +api_keys = [] +encrypt_key = "your_secret_key" + +# Server Configurations +[service.web] +host = "0.0.0.0" +port = 5670 + +[service.web.database] +type = "sqlite" +path = "pilot/meta_data/dbgpt.db" + +[rag.storage] +[rag.storage.vector] +type = "Chroma" +persist_path = "pilot/data" + +# Model Configurations +[models] +[[models.llms]] +name = "Qwen2.5-Coder-0.5B-Instruct" +# Please make sure install DB-GPT with '--extra llama_cpp_server' extra +provider = "llama.cpp.server" +# If not provided, the model will be downloaded from the Hugging Face model hub +# uncomment the following line to specify the model path in the local file system +# path = "the-model-path-in-the-local-file-system" +path = "/data/models/qwen2.5-coder-0.5b-instruct-q4_k_m.gguf" + +[[models.embeddings]] +name = "BAAI/bge-large-zh-v1.5" +provider = "hf" +# If not provided, the model will be downloaded from the Hugging Face model hub +# uncomment the following line to specify the model path in the local file system +# path = "the-model-path-in-the-local-file-system" +path = "/data/models/bge-large-zh-v1.5" + diff --git a/configs/dbgpt-local-qwen.toml b/configs/dbgpt-local-qwen.toml new file mode 100644 index 000000000..86b0698e0 --- /dev/null +++ b/configs/dbgpt-local-qwen.toml @@ -0,0 +1,38 @@ +[system] +# Load language from environment variable(It is set by the hook) +language = "${env:DBGPT_LANG:-zh}" +api_keys = [] +encrypt_key = "your_secret_key" + +# Server Configurations +[service.web] +host = "0.0.0.0" +port = 5670 + +[service.web.database] +type = "sqlite" +path = "pilot/meta_data/dbgpt.db" + +[rag.storage] +[rag.storage.vector] +type = "Chroma" +persist_path = "pilot/data" + +# Model Configurations +[models] +[[models.llms]] +name = "Qwen2.5-Coder-0.5B-Instruct" +provider = "hf" +# If not provided, the model will be downloaded from the Hugging Face model hub +# uncomment the following line to specify the model path in the local file system +# path = "the-model-path-in-the-local-file-system" +path = "/data/models/Qwen2.5-Coder-0.5B-Instruct" + +[[models.embeddings]] +name = "BAAI/bge-large-zh-v1.5" +provider = "hf" +# If not provided, the model will be downloaded from the Hugging Face model hub +# uncomment the following line to specify the model path in the local file system +# path = "the-model-path-in-the-local-file-system" +path = "/data/models/bge-large-zh-v1.5" + diff --git a/configs/dbgpt-proxy-deepseek.toml b/configs/dbgpt-proxy-deepseek.toml new file mode 100644 index 000000000..4eb2fdfed --- /dev/null +++ b/configs/dbgpt-proxy-deepseek.toml @@ -0,0 +1,41 @@ +[system] +# Load language from environment variable(It is set by the hook) +language = "${env:DBGPT_LANG:-zh}" +api_keys = [] +encrypt_key = "your_secret_key" + +# Server Configurations +[service.web] +host = "0.0.0.0" +port = 5670 + +[service.web.database] +type = "sqlite" +path = "pilot/meta_data/dbgpt.db" +[service.model.worker] +host = "127.0.0.1" + +[rag.storage] +[rag.storage.vector] +type = "Chroma" +persist_path = "pilot/data" + +# Model Configurations +[models] +[[models.llms]] +name = "deepseek-reasoner" +provider = "proxy/deepseek" +api_key = "${env:DEEPSEEK_API_KEY}" + +[[models.llms]] +name = "deepseek-chat" +provider = "proxy/deepseek" +api_key = "${env:DEEPSEEK_API_KEY}" + +[[models.embeddings]] +name = "BAAI/bge-large-zh-v1.5" +provider = "hf" +# If not provided, the model will be downloaded from the Hugging Face model hub +# uncomment the following line to specify the model path in the local file system +# path = "the-model-path-in-the-local-file-system" +path = "/data/models/bge-large-zh-v1.5" diff --git a/packages/dbgpt-accelerator/pyproject.toml b/packages/dbgpt-accelerator/pyproject.toml index 3b5a1ffbe..bdd059fd5 100644 --- a/packages/dbgpt-accelerator/pyproject.toml +++ b/packages/dbgpt-accelerator/pyproject.toml @@ -79,10 +79,10 @@ vllm = [ # Just support GPU version on Linux "vllm>=0.7.0; sys_platform == 'linux'" ] -vllm_pascal = [ - # https://github.com/sasha0552/pascal-pkgs-ci - "vllm-pascal==0.7.2; sys_platform == 'linux'" -] +#vllm_pascal = [ +# # https://github.com/sasha0552/pascal-pkgs-ci +# "vllm-pascal==0.7.2; sys_platform == 'linux'" +#] quant_bnb = [ "bitsandbytes>=0.39.0; sys_platform == 'win32' or sys_platform == 'linux'", "accelerate" @@ -157,10 +157,10 @@ name = "pytorch-rocm60" url = "https://download.pytorch.org/whl/rocm6.0" explicit = true -[[tool.uv.index]] -name = "vllm-pascal" -url = "https://sasha0552.github.io/pascal-pkgs-ci/" -explicit = true +#[[tool.uv.index]] +#name = "vllm-pascal" +#url = "https://sasha0552.github.io/pascal-pkgs-ci/" +#explicit = true [tool.uv.sources] torch = [ @@ -203,9 +203,9 @@ torchaudio = [ { index = "pytorch-cu124", marker = "platform_system == 'Linux'", extra = "cuda124" }, # { index = "pytorch-rocm60", marker = "platform_system == 'Linux'", extra = "rocm60" }, ] -vllm-pascal = [ - { index = "vllm-pascal", marker = "platform_system == 'Linux'", extra = "vllm_pascal" }, -] +#vllm-pascal = [ +# { index = "vllm-pascal", marker = "platform_system == 'Linux'", extra = "vllm_pascal" }, +#] [tool.uv.build-isolation] # Disable build isolation for gptqmodel diff --git a/packages/dbgpt-core/src/dbgpt/rag/embedding/embeddings.py b/packages/dbgpt-core/src/dbgpt/rag/embedding/embeddings.py index 658bfe35c..050d8a12a 100644 --- a/packages/dbgpt-core/src/dbgpt/rag/embedding/embeddings.py +++ b/packages/dbgpt-core/src/dbgpt/rag/embedding/embeddings.py @@ -30,6 +30,17 @@ DEFAULT_QUERY_BGE_INSTRUCTION_EN = ( ) DEFAULT_QUERY_BGE_INSTRUCTION_ZH = "为这个句子生成表示以用于检索相关文章：" +try: + import transformers + + if not hasattr(transformers, "is_torch_npu_available"): + # Fix https://github.com/UKPLab/sentence-transformers/issues/2895 + from transformers.utils import is_torch_npu_available + + transformers.is_torch_npu_available = is_torch_npu_available +except ImportError: + pass + @dataclass class HFEmbeddingDeployModelParameters(EmbeddingDeployModelParameters): diff --git a/uv.lock b/uv.lock index dc336356e..7d840c56a 100644 --- a/uv.lock +++ b/uv.lock @@ -171,6 +171,18 @@ wheels = [ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/f3/ba/df6e8e1045aebc4778d19b8a3a9bc1808adb1619ba94ca354d9ba17d86c3/aiolimiter-1.2.1-py3-none-any.whl", hash = "sha256:d3f249e9059a20badcb56b61601a83556133655c11d1eb3dd3e04ff069e5f3c7", size = 6711 }, ] +[[package]] +name = "aiomysql" +version = "0.2.0" +source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" } +dependencies = [ + { name = "pymysql" }, +] +sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/67/76/2c5b55e4406a1957ffdfd933a94c2517455291c97d2b81cec6813754791a/aiomysql-0.2.0.tar.gz", hash = "sha256:558b9c26d580d08b8c5fd1be23c5231ce3aeff2dadad989540fee740253deb67", size = 114706 } +wheels = [ + { url = "https://pypi.tuna.tsinghua.edu.cn/packages/42/87/c982ee8b333c85b8ae16306387d703a1fcdfc81a2f3f15a24820ab1a512d/aiomysql-0.2.0-py3-none-any.whl", hash = "sha256:b7c26da0daf23a5ec5e0b133c03d20657276e4eae9b73e040b72787f6f6ade0a", size = 44215 }, +] + [[package]] name = "aiosignal" version = "1.3.2" @@ -1646,9 +1658,6 @@ quant-gptqmodel = [ vllm = [ { name = "vllm", marker = "sys_platform == 'linux' or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cpu') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda118') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda118') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cuda118' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-cuda118' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cuda121' and extra == 'extra-17-dbgpt-accelerator-cuda124')" }, ] -vllm-pascal = [ - { name = "vllm-pascal", marker = "sys_platform == 'linux' or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cpu') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda118') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda118') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cuda118' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-cuda118' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cuda121' and extra == 'extra-17-dbgpt-accelerator-cuda124')" }, -] [package.dev-dependencies] auto = [ @@ -1732,7 +1741,6 @@ requires-dist = [ { name = "torchvision", marker = "sys_platform == 'win32' and extra == 'cuda121'", specifier = ">=0.17.1", index = "https://download.pytorch.org/whl/cu121", conflict = { package = "dbgpt-accelerator", extra = "cuda121" } }, { name = "torchvision", marker = "sys_platform == 'win32' and extra == 'cuda124'", specifier = ">=0.17.1", index = "https://download.pytorch.org/whl/cu124", conflict = { package = "dbgpt-accelerator", extra = "cuda124" } }, { name = "vllm", marker = "sys_platform == 'linux' and extra == 'vllm'", specifier = ">=0.7.0" }, - { name = "vllm-pascal", marker = "sys_platform == 'linux' and extra == 'vllm-pascal'", specifier = "==0.7.2", index = "https://sasha0552.github.io/pascal-pkgs-ci/", conflict = { package = "dbgpt-accelerator", extra = "vllm-pascal" } }, ] [package.metadata.requires-dev] @@ -1877,9 +1885,15 @@ rag = [ storage-chromadb = [ { name = "chromadb" }, ] +storage-elasticsearch = [ + { name = "elasticsearch" }, +] storage-milvus = [ { name = "pymilvus" }, ] +storage-obvector = [ + { name = "pyobvector" }, +] storage-weaviate = [ { name = "weaviate-client" }, ] @@ -1898,6 +1912,7 @@ requires-dist = [ { name = "dbgpt-tugraph-plugins", marker = "extra == 'graph-rag'", specifier = ">=0.1.1" }, { name = "duckdb", marker = "extra == 'datasource-duckdb'" }, { name = "duckdb-engine", marker = "extra == 'datasource-duckdb'", specifier = "==0.9.1" }, + { name = "elasticsearch", marker = "extra == 'storage-elasticsearch'" }, { name = "markdown", marker = "extra == 'rag'" }, { name = "mysqlclient", marker = "extra == 'datasource-mysql'", specifier = "==2.1.0" }, { name = "neo4j", marker = "extra == 'graph-rag'" }, @@ -1908,6 +1923,7 @@ requires-dist = [ { name = "pymilvus", marker = "extra == 'storage-milvus'" }, { name = "pymssql", marker = "extra == 'datasource-mssql'" }, { name = "pymysql" }, + { name = "pyobvector", marker = "extra == 'storage-obvector'" }, { name = "pypdf", marker = "extra == 'rag'" }, { name = "pyspark", marker = "extra == 'datasource-spark'" }, { name = "python-docx", marker = "extra == 'rag'" }, @@ -2230,6 +2246,31 @@ wheels = [ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/87/62/9773de14fe6c45c23649e98b83231fffd7b9892b6cf863251dc2afa73643/einops-0.8.1-py3-none-any.whl", hash = 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"https://pypi.tuna.tsinghua.edu.cn/simple" } +dependencies = [ + { name = "aiomysql" }, + { name = "numpy" }, + { name = "pydantic" }, + { name = "pymysql" }, + { name = "sqlalchemy" }, + { name = "sqlglot" }, +] +sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/7b/ea/231230984f2b3ef1f01b64c542d42d6e67cc86cba1b4b2fe27c813171ca0/pyobvector-0.1.19.tar.gz", hash = "sha256:c4f40dd26f7ff9519d6278fe65317c546ec521ebe6194f42a3a986af1103fd5b", size = 35911 } +wheels = [ + { url = "https://pypi.tuna.tsinghua.edu.cn/packages/a8/11/f3238f9ebeb65958016b13ceda8f9a8b5deab4517b4a529a1bfdfafce690/pyobvector-0.1.19-py3-none-any.whl", hash = "sha256:b4b0776fbf43d9a913ea6bbf75db5f598b73163adf2a04e5c356502b66dcd45f", size = 46072 }, +] + [[package]] name = "pyparsing" version = "3.2.1" @@ -8093,6 +8151,15 @@ wheels = [ { url = "https://pypi.tuna.tsinghua.edu.cn/packages/b2/a4/9d9666859613a72b2ad793783309aa7cf4e76d79728875397010f2166248/SQLAlchemy-2.0.28-py3-none-any.whl", hash = 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"sha256:51fcb7d60149f75ec85d457fab6ccd88a2b1a6344c28aad46b0f8776b29e9d47", size = 264277381 }, ] -[[package]] -name = "vllm-pascal" -version = "0.7.2" -source = { registry = "https://sasha0552.github.io/pascal-pkgs-ci/" } -dependencies = [ - { name = "aiohttp", marker = "sys_platform != 'darwin' or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cpu') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda118') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-auto' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda118') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda121') or (extra == 'extra-17-dbgpt-accelerator-cpu' and extra == 'extra-17-dbgpt-accelerator-cuda124') or (extra == 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