From ba23443a70d323cd4f9a242b33fd9dce1bacd2db Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Mon, 23 Oct 2023 15:54:12 +0900 Subject: [PATCH 001/188] fix: typo in README.md (#1091) componentes -> components --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 00f6e39..dfdc040 100644 --- a/README.md +++ b/README.md @@ -87,7 +87,7 @@ primitives. The design of PrivateGPT allows to easily extend and adapt both the API and the RAG implementation. Some key architectural decisions are: -* Dependency Injection, decoupling the different componentes and layers. +* Dependency Injection, decoupling the different components and layers. * Usage of LlamaIndex abstractions such as `LLM`, `BaseEmbedding` or `VectorStore`, making it immediate to change the actual implementations of those abstractions. * Simplicity, adding as few layers and new abstractions as possible. From 769a047b54f675d45819392c37e4e2e2e63cd405 Mon Sep 17 00:00:00 2001 From: Federico Grandi Date: Mon, 23 Oct 2023 10:49:02 +0200 Subject: [PATCH 002/188] chore: add GitHub metadata (#1085) * chore: add citation file * chore: add LICENSE * chore: update email Co-authored-by: Daniel Gallego * chore: update email in citation file Co-authored-by: Pablo Orgaz * chore: add ORCIDs to citation file * docs: update README with citation info --------- Co-authored-by: Daniel Gallego Co-authored-by: Pablo Orgaz --- CITATION.cff | 25 +++++++ LICENSE | 201 +++++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 22 ++++-- 3 files changed, 242 insertions(+), 6 deletions(-) create mode 100644 CITATION.cff create mode 100644 LICENSE diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 0000000..73a213d --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,25 @@ +# This CITATION.cff file was generated with cffinit. +# Visit https://bit.ly/cffinit to generate yours today! + +cff-version: 1.2.0 +title: PrivateGPT +message: >- + If you use this software, please cite it using the + metadata from this file. +type: software +authors: + - given-names: Iván + family-names: Martínez Toro + email: ivanmartit@gmail.com + orcid: 'https://orcid.org/0009-0004-5065-2311' + - family-names: Gallego Vico + given-names: Daniel + email: danielgallegovico@gmail.com + orcid: 'https://orcid.org/0009-0006-8582-4384' + - given-names: Pablo + family-names: Orgaz + email: pabloogc+gh@gmail.com + orcid: 'https://orcid.org/0009-0008-0080-1437' +repository-code: 'https://github.com/imartinez/privateGPT' +license: Apache-2.0 +date-released: '2023-05-02' diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md index dfdc040..bad7195 100644 --- a/README.md +++ b/README.md @@ -149,14 +149,24 @@ Join the conversation around PrivateGPT on our: - [Discord](https://discord.gg/bK6mRVpErU) ## 📖 Citation -Reference to cite if you use PrivateGPT in a paper: +If you use PrivateGPT in a paper, check out the [Citation file](CITATION.cff) for the correct citation. +You can also use the "Cite this repository" button in this repo to get the citation in different formats. -``` -@software{PrivateGPT_2023, -authors = {Martinez, I., Gallego, D. Orgaz, P.}, -month = {5}, -title = {PrivateGPT}, +Here are a couple of examples: + +#### BibTeX +```bibtex +@software{Martinez_Toro_PrivateGPT_2023, +author = {Martínez Toro, Iván and Gallego Vico, Daniel and Orgaz, Pablo}, +license = {Apache-2.0}, +month = may, +title = {{PrivateGPT}}, url = {https://github.com/imartinez/privateGPT}, year = {2023} } ``` + +#### APA +``` +Martínez Toro, I., Gallego Vico, D., & Orgaz, P. (2023). PrivateGPT [Computer software]. https://github.com/imartinez/privateGPT +``` From 78546524d0af18b26ddf6d3ac0cb2760ba4fa5e0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Iv=C3=A1n=20Mart=C3=ADnez?= Date: Mon, 23 Oct 2023 10:50:42 +0200 Subject: [PATCH 003/188] Use OpenAI for embeddings when openai mode is selected (#1096) --- .../components/embedding/embedding_component.py | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 41b4e1f..61fe6fa 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -13,14 +13,19 @@ class EmbeddingComponent: @inject def __init__(self) -> None: match settings.llm.mode: - case "mock": - # Not a random number, is the dimensionality used by - # the default embedding model - self.embedding_model = MockEmbedding(384) - case _: + case "local": from llama_index.embeddings import HuggingFaceEmbedding self.embedding_model = HuggingFaceEmbedding( model_name=settings.local.embedding_hf_model_name, cache_folder=str(models_cache_path), ) + case "openai": + from llama_index import OpenAIEmbedding + + openai_settings = settings.openai.api_key + self.embedding_model = OpenAIEmbedding(api_key=openai_settings) + case "mock": + # Not a random number, is the dimensionality used by + # the default embedding model + self.embedding_model = MockEmbedding(384) From 768e5ff50529caf2032ddabb4c6beb66891e1f12 Mon Sep 17 00:00:00 2001 From: Shivam Singh <103785990+Shivam250702@users.noreply.github.com> Date: Tue, 24 Oct 2023 16:13:41 +0530 Subject: [PATCH 004/188] chore: Update README.md (#1102) Removed Grammatical errors --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index bad7195..9fd9a7c 100644 --- a/README.md +++ b/README.md @@ -6,12 +6,12 @@ demo -PrivateGPT is a production-ready AI project that allows you to ask questions to your documents using the power -of Large Language Models (LLMs), even in scenarios without Internet connection. 100% private, no data leaves your +PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power +of Large Language Models (LLMs), even in scenarios without an Internet connection. 100% private, no data leaves your execution environment at any point. The project provides an API offering all the primitives required to build private, context-aware AI applications. -It follows and extends [OpenAI API standard](https://openai.com/blog/openai-api), +It follows and extends the [OpenAI API standard](https://openai.com/blog/openai-api), and supports both normal and streaming responses. The API is divided into two logical blocks: @@ -40,14 +40,14 @@ DISCLAIMER: This README is not updated as frequently as the [documentation](http Please check it out for the latest updates! ### Motivation behind PrivateGPT -Generative AI is a game changer for our society, but adoption in companies of all size and data-sensitive +Generative AI is a game changer for our society, but adoption in companies of all sizes and data-sensitive domains like healthcare or legal is limited by a clear concern: **privacy**. Not being able to ensure that your data is fully under your control when using third-party AI tools is a risk those industries cannot take. ### Primordial version The first version of PrivateGPT was launched in May 2023 as a novel approach to address the privacy -concern by using LLMs in a complete offline way. +concerns by using LLMs in a complete offline way. This was done by leveraging existing technologies developed by the thriving Open Source AI community: [LangChain](https://github.com/hwchase17/langchain), [LlamaIndex](https://www.llamaindex.ai/), [GPT4All](https://github.com/nomic-ai/gpt4all), @@ -69,10 +69,10 @@ PrivateGPT if you come from the previous, primordial version. ### Present and Future of PrivateGPT PrivateGPT is now evolving towards becoming a gateway to generative AI models and primitives, including completions, document ingestion, RAG pipelines and other low-level building blocks. -We want to make easier for any developer to build AI applications and experiences, as well as providing +We want to make it easier for any developer to build AI applications and experiences, as well as provide a suitable extensive architecture for the community to keep contributing. -Stay tuned to our [releases](https://github.com/imartinez/privateGPT/releases) to check all the new features and changes included. +Stay tuned to our [releases](https://github.com/imartinez/privateGPT/releases) to check out all the new features and changes included. ## 📄 Documentation Full documentation on installation, dependencies, configuration, running the server, deployment options, From 895588b82a06c2bc71a9e22fb840c7f6442a3b5b Mon Sep 17 00:00:00 2001 From: Pablo Orgaz Date: Fri, 27 Oct 2023 13:29:29 +0200 Subject: [PATCH 005/188] fix: Docker and sagemaker setup (#1118) * fix: docker copying extra files * feat: allow configuring mode through env vars * feat: Attempt to build and tag a docker image * fix: run docker on release * fix: typing in prompt transformation * chore: remove tutorial comments --- .dockerignore | 3 ++ .github/workflows/docker.yml | 47 +++++++++++++++++++ Dockerfile | 11 ++--- .../embedding/embedding_component.py | 2 +- .../components/llm/custom/sagemaker.py | 6 +-- private_gpt/components/llm/llm_component.py | 2 + settings-docker.yaml | 11 +++-- 7 files changed, 67 insertions(+), 15 deletions(-) create mode 100644 .github/workflows/docker.yml diff --git a/.dockerignore b/.dockerignore index 35b2f4c..c156a9b 100644 --- a/.dockerignore +++ b/.dockerignore @@ -3,6 +3,9 @@ models .github .vscode .DS_Store +.mypy_cache +.ruff_cache +local_data terraform tests Dockerfile diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml new file mode 100644 index 0000000..a0a0ec1 --- /dev/null +++ b/.github/workflows/docker.yml @@ -0,0 +1,47 @@ +name: Create and publish a Docker image + +on: + release: + types: [ published ] + push: + branches: + - main + pull_request: + +env: + REGISTRY: ghcr.io + IMAGE_NAME: ${{ github.repository }} + +jobs: + build-and-push-image: + runs-on: ubuntu-latest + permissions: + contents: read + packages: write + steps: + - name: Checkout repository + uses: actions/checkout@v4 + - name: Log in to the Container registry + uses: docker/login-action@v3 + with: + registry: ${{ env.REGISTRY }} + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + - name: Extract metadata (tags, labels) for Docker + id: meta + uses: docker/metadata-action@v5 + with: + images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} + tags: | + type=ref,event=branch + type=ref,event=pr + type=semver,pattern={{version}} + type=semver,pattern={{major}}.{{minor}} + type=sha + - name: Build and push Docker image + uses: docker/build-push-action@v5 + with: + context: . + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} \ No newline at end of file diff --git a/Dockerfile b/Dockerfile index 170531a..309c2a1 100644 --- a/Dockerfile +++ b/Dockerfile @@ -23,10 +23,7 @@ FROM base as dependencies WORKDIR /home/worker/app COPY pyproject.toml poetry.lock ./ -RUN poetry install --with local RUN poetry install --with ui -RUN CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS"\ - poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python FROM base as app @@ -39,9 +36,11 @@ EXPOSE 8080 RUN adduser --system worker WORKDIR /home/worker/app -# Copy everything, including the virtual environment -COPY --chown=worker --from=dependencies /home/worker/app . -COPY --chown=worker . . +RUN mkdir "local_data"; chown worker local_data +COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv +COPY --chown=worker private_gpt/ private_gpt +COPY --chown=worker docs/ docs +COPY --chown=worker *.yaml *.md ./ USER worker ENTRYPOINT .venv/bin/python -m private_gpt \ No newline at end of file diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 61fe6fa..079e72b 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -13,7 +13,7 @@ class EmbeddingComponent: @inject def __init__(self) -> None: match settings.llm.mode: - case "local": + case "local" | "sagemaker": from llama_index.embeddings import HuggingFaceEmbedding self.embedding_model = HuggingFaceEmbedding( diff --git a/private_gpt/components/llm/custom/sagemaker.py b/private_gpt/components/llm/custom/sagemaker.py index 9286de6..08f56a9 100644 --- a/private_gpt/components/llm/custom/sagemaker.py +++ b/private_gpt/components/llm/custom/sagemaker.py @@ -21,8 +21,6 @@ from llama_index.llms.llama_utils import ( ) if TYPE_CHECKING: - from collections.abc import Callable - from llama_index.callbacks import CallbackManager from llama_index.llms import ( CompletionResponseGen, @@ -113,10 +111,10 @@ class SagemakerLLM(CustomLLM): context_window: int = Field( description="The maximum number of context tokens for the model." ) - messages_to_prompt: Callable[..., str] = Field( + messages_to_prompt: Any = Field( description="The function to convert messages to a prompt.", exclude=True ) - completion_to_prompt: Callable[..., str] = Field( + completion_to_prompt: Any = Field( description="The function to convert a completion to a prompt.", exclude=True ) generate_kwargs: dict[str, Any] = Field( diff --git a/private_gpt/components/llm/llm_component.py b/private_gpt/components/llm/llm_component.py index 2c32897..cbd71ce 100644 --- a/private_gpt/components/llm/llm_component.py +++ b/private_gpt/components/llm/llm_component.py @@ -37,6 +37,8 @@ class LLMComponent: self.llm = SagemakerLLM( endpoint_name=settings.sagemaker.endpoint_name, + messages_to_prompt=messages_to_prompt, + completion_to_prompt=completion_to_prompt, ) case "openai": from llama_index.llms import OpenAI diff --git a/settings-docker.yaml b/settings-docker.yaml index 73255da..12fea9f 100644 --- a/settings-docker.yaml +++ b/settings-docker.yaml @@ -3,12 +3,15 @@ server: port: ${PORT:8080} llm: - mode: local + mode: ${PGPT_MODE:mock} local: - llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.1-GGUF - llm_hf_model_file: mistral-7b-instruct-v0.1.Q4_K_M.gguf - embedding_hf_model_name: BAAI/bge-small-en-v1.5 + llm_hf_repo_id: ${PGPT_HF_REPO_ID:TheBloke/Mistral-7B-Instruct-v0.1-GGUF} + llm_hf_model_file: ${PGPT_HF_MODEL_FILE:mistral-7b-instruct-v0.1.Q4_K_M.gguf} + embedding_hf_model_name: ${PGPT_EMBEDDING_HF_MODEL_NAME:BAAI/bge-small-en-v1.5} + +sagemaker: + endpoint_name: ${PGPT_SAGEMAKER_ENDPOINT_NAME:} ui: enabled: true From 24cfddd60f74aadd2dade4c63f6012a2489938a1 Mon Sep 17 00:00:00 2001 From: Pablo Orgaz Date: Fri, 27 Oct 2023 20:27:40 +0200 Subject: [PATCH 006/188] fix: fix pytorch version to avoid wheel bug (#1123) * fix: fix pytorch version * fix: settings env var regex and split * fix: add models folder for docker user --- Dockerfile | 3 +- poetry.lock | 1608 +++++++++++++++++------- private_gpt/settings/yaml.py | 4 +- pyproject.toml | 3 +- tests/settings/test_settings_loader.py | 12 +- 5 files changed, 1150 insertions(+), 480 deletions(-) diff --git a/Dockerfile b/Dockerfile index 309c2a1..e9ebd15 100644 --- a/Dockerfile +++ b/Dockerfile @@ -36,7 +36,8 @@ EXPOSE 8080 RUN adduser --system worker WORKDIR /home/worker/app -RUN mkdir "local_data"; chown worker local_data +RUN mkdir local_data; chown worker local_data +RUN mkdir models; chown worker models COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv COPY --chown=worker private_gpt/ private_gpt COPY --chown=worker docs/ docs diff --git a/poetry.lock b/poetry.lock index f1e3ac2..4b36f6f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -296,17 +296,17 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "boto3" -version = "1.28.63" +version = "1.28.72" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.7" files = [ - {file = "boto3-1.28.63-py3-none-any.whl", hash = "sha256:65d052ec13197460586ee385aa2d6bba0e7378d2d2c7f3e93c044c43ae1ca782"}, - {file = "boto3-1.28.63.tar.gz", hash = "sha256:94218aba2feb5b404b665b8d76c172dc654f79b4c5fa0e9e92459c098da87bf4"}, + {file = "boto3-1.28.72-py3-none-any.whl", hash = "sha256:73e2b56dcbe1b856274185c908dcb5973b007d62c74b646e6bd2ac09a303983a"}, + {file = "boto3-1.28.72.tar.gz", hash = "sha256:cc7d939cdbb4ad3980274c96c589e95f028f740ac49a3547c8f4aaec6a7a6409"}, ] [package.dependencies] -botocore = ">=1.31.63,<1.32.0" +botocore = ">=1.31.72,<1.32.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.7.0,<0.8.0" @@ -315,13 +315,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.31.63" +version = "1.31.72" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">= 3.7" files = [ - {file = "botocore-1.31.63-py3-none-any.whl", hash = "sha256:cb9db5db5af865b1fc2e1405b967db5d78dd0f4d84e5dc1974e082733c1034b7"}, - {file = "botocore-1.31.63.tar.gz", hash = "sha256:6e582c811ea74f25bdb490ac372b2645de4a60286b42ddd8c69f3b6df82b6b12"}, + {file = "botocore-1.31.72-py3-none-any.whl", hash = "sha256:1a0f5063a9a5e1ef40907c67778625cf14a8c47c8e09cd2b3f9dc53a8adb52cf"}, + {file = "botocore-1.31.72.tar.gz", hash = "sha256:37763f40c2fcc48114015fe43bbd75ec1aabef48b418e1a5e28cb1c350967260"}, ] [package.dependencies] @@ -332,6 +332,17 @@ urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""} [package.extras] crt = ["awscrt (==0.16.26)"] +[[package]] +name = "cachetools" +version = "5.3.2" +description = "Extensible memoizing collections and decorators" +optional = false +python-versions = ">=3.7" +files = [ + {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"}, + {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"}, +] + [[package]] name = "certifi" version = "2023.7.22" @@ -356,101 +367,101 @@ files = [ [[package]] name = "charset-normalizer" -version = "3.3.0" +version = "3.3.1" description = "The Real First Universal Charset Detector. 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= re.compile(r"\$\{(\w|_)+(:(\w|_)*)?}") +_env_replace_matcher = re.compile(r"\$\{(\w|_)+:?.*}") @typing.no_type_check # pyaml does not have good hints, everything is Any @@ -22,7 +22,7 @@ def load_yaml_with_envvars( def load_env_var(_, node) -> str: """Extract the matched value, expand env variable, and replace the match.""" value = str(node.value).removeprefix("${").removesuffix("}") - split = value.split(":") + split = value.split(":", 1) env_var = split[0] value = environ.get(env_var) default = None if len(split) == 1 else split[1] diff --git a/pyproject.toml b/pyproject.toml index 05dab2f..7ac7330 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,8 @@ llama-index = "0.8.47" chromadb = "^0.4.13" watchdog = "^3.0.0" transformers = "^4.34.0" -torch = "^2.1.0" +# https://stackoverflow.com/questions/76327419/valueerror-libcublas-so-0-9-not-found-in-the-system-path +torch = ">=2.0.0, !=2.0.1, !=2.1.0" [tool.poetry.group.dev.dependencies] black = "^22" diff --git a/tests/settings/test_settings_loader.py b/tests/settings/test_settings_loader.py index af29bc6..8183c4e 100644 --- a/tests/settings/test_settings_loader.py +++ b/tests/settings/test_settings_loader.py @@ -18,10 +18,18 @@ def test_environment_variables_are_loaded() -> None: def test_environment_defaults_variables_are_loaded() -> None: sample_yaml = """ - replaced: ${TEST_REPLACE_ME:default} + replaced: ${PGPT_EMBEDDING_HF_MODEL_NAME:BAAI/bge-small-en-v1.5} """ loaded = load_yaml_with_envvars(io.StringIO(sample_yaml), {}) - assert loaded["replaced"] == "default" + assert loaded["replaced"] == "BAAI/bge-small-en-v1.5" + + +def test_environment_defaults_variables_are_loaded_with_duplicated_delimiters() -> None: + sample_yaml = """ + replaced: ${PGPT_EMBEDDING_HF_MODEL_NAME::duped::} + """ + loaded = load_yaml_with_envvars(io.StringIO(sample_yaml), {}) + assert loaded["replaced"] == ":duped::" def test_environment_without_defaults_fails() -> None: From 64c5ae214a9520151c9c2d52ece535867d799367 Mon Sep 17 00:00:00 2001 From: lopagela Date: Sun, 29 Oct 2023 19:11:02 +0100 Subject: [PATCH 007/188] feat: Drop loguru and use builtin `logging` (#1133) * Configure simple builtin logging Changed the 2 existing `print` in the `private_gpt` code base into actual python logging, stop using loguru (dependency will be dropped in a later commit). Try to use the `key=value` logging convention in logs (to indicate what dynamic values represents, and what is dynamic vs not). Using `%s` log style, so that the string formatting is pushed inside the logger, giving the ability to the logger to determine if the string need to be formatted or not (i.e. strings from debug logs might not be formatted if the log level is not debug) The (basic) builtin log configuration have been placed in `private_gpt/__init__.py` in order to initialize the logging system even before we start to launch any python code in `private_gpt` package (ensuring we get any initialization log formatted as we want to) Disabled `uvicorn` custom logging format, resulting in having uvicorn logs being outputted in our formatted. Some more concise format could be used if we want to, especially: ``` COMPACT_LOG_FORMAT = '%(asctime)s.%(msecs)03d [%(levelname)s] %(name)s - %(message)s' ``` Python documentation and cookbook on logging for reference: * https://docs.python.org/3/library/logging.html * https://docs.python.org/3/howto/logging.html * Removing loguru from the dependencies Result of `poetry remove loguru` * PR feedback: using `logger` variable name instead of `log` --------- Co-authored-by: Louis Melchior --- poetry.lock | 34 +------------------ private_gpt/__init__.py | 10 ++++++ private_gpt/__main__.py | 5 ++- .../components/llm/custom/sagemaker.py | 5 ++- private_gpt/main.py | 17 ---------- private_gpt/settings/settings_loader.py | 5 ++- pyproject.toml | 1 - 7 files changed, 23 insertions(+), 54 deletions(-) diff --git a/poetry.lock b/poetry.lock index 4b36f6f..6739a3a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1916,24 +1916,6 @@ typing-extensions = ">=4.5.0" typing-inspect = ">=0.8.0" urllib3 = "<2" -[[package]] -name = "loguru" -version = "0.7.2" -description = "Python logging made (stupidly) simple" -optional = false -python-versions = ">=3.5" -files = [ - {file = "loguru-0.7.2-py3-none-any.whl", hash = "sha256:003d71e3d3ed35f0f8984898359d65b79e5b21943f78af86aa5491210429b8eb"}, - {file = "loguru-0.7.2.tar.gz", hash = "sha256:e671a53522515f34fd406340ee968cb9ecafbc4b36c679da03c18fd8d0bd51ac"}, -] - -[package.dependencies] -colorama = {version = ">=0.3.4", markers = "sys_platform == \"win32\""} -win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""} - -[package.extras] -dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptiongroup (==1.1.3)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v1.4.1)", "mypy (==v1.5.1)", "pre-commit (==3.4.0)", "pytest (==6.1.2)", "pytest (==7.4.0)", "pytest-cov (==2.12.1)", "pytest-cov (==4.1.0)", "pytest-mypy-plugins (==1.9.3)", "pytest-mypy-plugins (==3.0.0)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.3.0)", "tox (==3.27.1)", "tox (==4.11.0)"] - [[package]] name = "markupsafe" version = "2.1.3" @@ -5154,20 +5136,6 @@ files = [ [package.extras] test = ["pytest (>=6.0.0)", "setuptools (>=65)"] -[[package]] -name = "win32-setctime" -version = "1.1.0" -description = "A small Python utility to set file creation time on Windows" -optional = false -python-versions = ">=3.5" -files = [ - {file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"}, - {file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"}, -] - -[package.extras] -dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"] - [[package]] name = "wrapt" version = "1.15.0" @@ -5357,4 +5325,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "02ab2873e2074cbed0b415f5fa8addce0fd945487d12944f4c8043d4fc617de9" +content-hash = "28fe3510739b539671c6cf447706c17934c31094f1a860e9e95452d9e63f5a46" diff --git a/private_gpt/__init__.py b/private_gpt/__init__.py index dd7fcef..1f40983 100644 --- a/private_gpt/__init__.py +++ b/private_gpt/__init__.py @@ -1 +1,11 @@ """private-gpt.""" +import logging + +# Set to 'DEBUG' to have extensive logging turned on, even for libraries +ROOT_LOG_LEVEL = "INFO" + +PRETTY_LOG_FORMAT = ( + "%(asctime)s.%(msecs)03d [%(levelname)-8s] %(name)+25s - %(message)s" +) +logging.basicConfig(level=ROOT_LOG_LEVEL, format=PRETTY_LOG_FORMAT, datefmt="%H:%M:%S") +logging.captureWarnings(True) diff --git a/private_gpt/__main__.py b/private_gpt/__main__.py index 100dfdc..6bf2f15 100644 --- a/private_gpt/__main__.py +++ b/private_gpt/__main__.py @@ -5,4 +5,7 @@ import uvicorn from private_gpt.main import app from private_gpt.settings.settings import settings -uvicorn.run(app, host="0.0.0.0", port=settings.server.port) +# Set log_config=None to do not use the uvicorn logging configuration, and +# use ours instead. For reference, see below: +# https://github.com/tiangolo/fastapi/discussions/7457#discussioncomment-5141108 +uvicorn.run(app, host="0.0.0.0", port=settings.server.port, log_config=None) diff --git a/private_gpt/components/llm/custom/sagemaker.py b/private_gpt/components/llm/custom/sagemaker.py index 08f56a9..070f8ed 100644 --- a/private_gpt/components/llm/custom/sagemaker.py +++ b/private_gpt/components/llm/custom/sagemaker.py @@ -3,6 +3,7 @@ from __future__ import annotations import io import json +import logging from typing import TYPE_CHECKING, Any import boto3 # type: ignore @@ -26,6 +27,8 @@ if TYPE_CHECKING: CompletionResponseGen, ) +logger = logging.getLogger(__name__) + class LineIterator: r"""A helper class for parsing the byte stream input from TGI container. @@ -81,7 +84,7 @@ class LineIterator: continue raise if "PayloadPart" not in chunk: - print("Unknown event type:" + chunk) + logger.warning("Unknown event type=%s", chunk) continue self.buffer.seek(0, io.SEEK_END) self.buffer.write(chunk["PayloadPart"]["Bytes"]) diff --git a/private_gpt/main.py b/private_gpt/main.py index 7a6dc66..f5f193e 100644 --- a/private_gpt/main.py +++ b/private_gpt/main.py @@ -1,11 +1,9 @@ """FastAPI app creation, logger configuration and main API routes.""" -import sys from typing import Any import llama_index from fastapi import FastAPI from fastapi.openapi.utils import get_openapi -from loguru import logger from private_gpt.paths import docs_path from private_gpt.server.chat.chat_router import chat_router @@ -16,21 +14,6 @@ from private_gpt.server.health.health_router import health_router from private_gpt.server.ingest.ingest_router import ingest_router from private_gpt.settings.settings import settings -# Remove pre-configured logging handler -logger.remove(0) -# Create a new logging handler same as the pre-configured one but with the extra -# attribute `request_id` -logger.add( - sys.stdout, - level="INFO", - format=( - "{time:YYYY-MM-DD HH:mm:ss.SSS} | " - "{level: <8} | " - "{name}:{function}:{line} | " - "ID: {extra[request_id]} - {message}" - ), -) - # Add LlamaIndex simple observability llama_index.set_global_handler("simple") diff --git a/private_gpt/settings/settings_loader.py b/private_gpt/settings/settings_loader.py index d4b3d55..99c2ca4 100644 --- a/private_gpt/settings/settings_loader.py +++ b/private_gpt/settings/settings_loader.py @@ -1,4 +1,5 @@ import functools +import logging import os import sys from pathlib import Path @@ -9,6 +10,8 @@ from pydantic.v1.utils import deep_update, unique_list from private_gpt.constants import PROJECT_ROOT_PATH from private_gpt.settings.yaml import load_yaml_with_envvars +logger = logging.getLogger(__name__) + _settings_folder = os.environ.get("PGPT_SETTINGS_FOLDER", PROJECT_ROOT_PATH) # if running in unittest, use the test profile @@ -41,7 +44,7 @@ def load_profile(profile: str) -> dict[str, Any]: def load_active_profiles() -> dict[str, Any]: """Load active profiles and merge them.""" - print(f"Starting application with profiles: {active_profiles}") + logger.info("Starting application with profiles=%s", active_profiles) loaded_profiles = [load_profile(profile) for profile in active_profiles] merged: dict[str, Any] = functools.reduce(deep_update, loaded_profiles, {}) return merged diff --git a/pyproject.toml b/pyproject.toml index 7ac7330..bc1d075 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,6 @@ authors = ["Zylon "] [tool.poetry.dependencies] python = ">=3.11,<3.12" fastapi = { extras = ["all"], version = "^0.103.1" } -loguru = "^0.7.2" boto3 = "^1.28.56" injector = "^0.21.0" pyyaml = "^6.0.1" From 5d1be6e94c0de136f6138b86ef2c67b990679649 Mon Sep 17 00:00:00 2001 From: Pablo Orgaz Date: Sun, 29 Oct 2023 21:48:16 +0100 Subject: [PATCH 008/188] chore: only generate docker images on demand (#1134) * chore: only generate docker images on demand * chore: consistent naming --- .github/workflows/docker.yml | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index a0a0ec1..803075f 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -1,12 +1,9 @@ -name: Create and publish a Docker image +name: docker on: release: types: [ published ] - push: - branches: - - main - pull_request: + workflow_dispatch: env: REGISTRY: ghcr.io @@ -44,4 +41,4 @@ jobs: context: . push: true tags: ${{ steps.meta.outputs.tags }} - labels: ${{ steps.meta.outputs.labels }} \ No newline at end of file + labels: ${{ steps.meta.outputs.labels }} From b0e258265f3b3403b6ab98b34f325157fdfe369e Mon Sep 17 00:00:00 2001 From: NetroScript Date: Mon, 30 Oct 2023 21:54:09 +0100 Subject: [PATCH 009/188] Improve logging and error handling when ingesting an entire folder (#1132) --- docs/description.md | 6 +++++ scripts/ingest_folder.py | 54 +++++++++++++++++++++++++++++++++++----- 2 files changed, 54 insertions(+), 6 deletions(-) diff --git a/docs/description.md b/docs/description.md index 56c1fd4..c558fb5 100644 --- a/docs/description.md +++ b/docs/description.md @@ -416,6 +416,12 @@ and optionally watch changes on it with the command: make ingest /path/to/folder -- --watch ``` +To log the processed and failed files to an additional file, use: + +```bash +make ingest /path/to/folder -- --watch --log-file /path/to/log/file.log +``` + After ingestion is complete, you should be able to chat with your documents by navigating to http://localhost:8001 and using the option `Query documents`, or using the completions / chat API. diff --git a/scripts/ingest_folder.py b/scripts/ingest_folder.py index 8936d91..b59d70e 100644 --- a/scripts/ingest_folder.py +++ b/scripts/ingest_folder.py @@ -1,13 +1,14 @@ import argparse -import sys +import logging from pathlib import Path from private_gpt.di import root_injector from private_gpt.server.ingest.ingest_service import IngestService from private_gpt.server.ingest.ingest_watcher import IngestWatcher -ingest_service = root_injector.get(IngestService) +logger = logging.getLogger(__name__) +ingest_service = root_injector.get(IngestService) parser = argparse.ArgumentParser(prog="ingest_folder.py") parser.add_argument("folder", help="Folder to ingest") @@ -17,29 +18,70 @@ parser.add_argument( action=argparse.BooleanOptionalAction, default=False, ) +parser.add_argument( + "--log-file", + help="Optional path to a log file. If provided, logs will be written to this file.", + type=str, + default=None, +) args = parser.parse_args() +# Set up logging to a file if a path is provided +if args.log_file: + file_handler = logging.FileHandler(args.log_file, mode="a") + file_handler.setFormatter( + logging.Formatter( + "[%(asctime)s.%(msecs)03d] [%(levelname)s] %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + ) + ) + logger.addHandler(file_handler) + + +total_documents = 0 +current_document_count = 0 + + +def count_documents(folder_path: Path) -> None: + global total_documents + for file_path in folder_path.iterdir(): + if file_path.is_file(): + total_documents += 1 + elif file_path.is_dir(): + count_documents(file_path) + def _recursive_ingest_folder(folder_path: Path) -> None: + global current_document_count, total_documents for file_path in folder_path.iterdir(): if file_path.is_file(): + current_document_count += 1 + progress_msg = f"Document {current_document_count} of {total_documents} ({(current_document_count / total_documents) * 100:.2f}%)" + logger.info(progress_msg) _do_ingest(file_path) elif file_path.is_dir(): _recursive_ingest_folder(file_path) def _do_ingest(changed_path: Path) -> None: - if changed_path.exists(): - print(f"\nIngesting {changed_path}") - ingest_service.ingest(changed_path.name, changed_path) + try: + if changed_path.exists(): + logger.info(f"Started ingesting {changed_path}") + ingest_service.ingest(changed_path.name, changed_path) + logger.info(f"Completed ingesting {changed_path}") + except Exception as e: + logger.error(f"Failed to ingest document: {changed_path}. Error: {e}") path = Path(args.folder) if not path.exists(): raise ValueError(f"Path {args.folder} does not exist") +# Count total documents before ingestion +count_documents(path) + _recursive_ingest_folder(path) if args.watch: - print(f"Watching {args.folder} for changes, press Ctrl+C to stop...") + logger.info(f"Watching {args.folder} for changes, press Ctrl+C to stop...") watcher = IngestWatcher(args.folder, _do_ingest) watcher.start() From a517a588c4927aa5c5c2a93e4f82a58f0599d251 Mon Sep 17 00:00:00 2001 From: Pablo Orgaz Date: Mon, 30 Oct 2023 21:54:41 +0100 Subject: [PATCH 010/188] fix: sagemaker config and chat methods (#1142) --- .../components/llm/custom/sagemaker.py | 31 +++++++++++++++++-- private_gpt/components/llm/llm_component.py | 2 -- 2 files changed, 29 insertions(+), 4 deletions(-) diff --git a/private_gpt/components/llm/custom/sagemaker.py b/private_gpt/components/llm/custom/sagemaker.py index 070f8ed..284ee2c 100644 --- a/private_gpt/components/llm/custom/sagemaker.py +++ b/private_gpt/components/llm/custom/sagemaker.py @@ -4,7 +4,7 @@ from __future__ import annotations import io import json import logging -from typing import TYPE_CHECKING, Any +from typing import TYPE_CHECKING import boto3 # type: ignore from llama_index.bridge.pydantic import Field @@ -13,7 +13,14 @@ from llama_index.llms import ( CustomLLM, LLMMetadata, ) -from llama_index.llms.base import llm_completion_callback +from llama_index.llms.base import ( + llm_chat_callback, + llm_completion_callback, +) +from llama_index.llms.generic_utils import ( + completion_response_to_chat_response, + stream_completion_response_to_chat_response, +) from llama_index.llms.llama_utils import ( completion_to_prompt as generic_completion_to_prompt, ) @@ -22,8 +29,14 @@ from llama_index.llms.llama_utils import ( ) if TYPE_CHECKING: + from collections.abc import Sequence + from typing import Any + from llama_index.callbacks import CallbackManager from llama_index.llms import ( + ChatMessage, + ChatResponse, + ChatResponseGen, CompletionResponseGen, ) @@ -247,3 +260,17 @@ class SagemakerLLM(CustomLLM): yield CompletionResponse(delta=delta, text=text, raw=data) return get_stream() + + @llm_chat_callback() + def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + prompt = self.messages_to_prompt(messages) + completion_response = self.complete(prompt, formatted=True, **kwargs) + return completion_response_to_chat_response(completion_response) + + @llm_chat_callback() + def stream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseGen: + prompt = self.messages_to_prompt(messages) + completion_response = self.stream_complete(prompt, formatted=True, **kwargs) + return stream_completion_response_to_chat_response(completion_response) diff --git a/private_gpt/components/llm/llm_component.py b/private_gpt/components/llm/llm_component.py index cbd71ce..2c32897 100644 --- a/private_gpt/components/llm/llm_component.py +++ b/private_gpt/components/llm/llm_component.py @@ -37,8 +37,6 @@ class LLMComponent: self.llm = SagemakerLLM( endpoint_name=settings.sagemaker.endpoint_name, - messages_to_prompt=messages_to_prompt, - completion_to_prompt=completion_to_prompt, ) case "openai": from llama_index.llms import OpenAI From f29df84301ff2894e26f520c488310750c5b4f7c Mon Sep 17 00:00:00 2001 From: Pierre Marais Date: Thu, 2 Nov 2023 12:45:48 +0100 Subject: [PATCH 011/188] Disable chromaDB anonymous information collection (#1144) See https://docs.trychroma.com/telemetry --- .../components/vector_store/vector_store_component.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/private_gpt/components/vector_store/vector_store_component.py b/private_gpt/components/vector_store/vector_store_component.py index 5d173fb..ce7010b 100644 --- a/private_gpt/components/vector_store/vector_store_component.py +++ b/private_gpt/components/vector_store/vector_store_component.py @@ -1,6 +1,7 @@ import typing import chromadb +from chromadb.config import Settings from injector import inject, singleton from llama_index import VectorStoreIndex from llama_index.indices.vector_store import VectorIndexRetriever @@ -36,8 +37,10 @@ class VectorStoreComponent: @inject def __init__(self) -> None: + chroma_settings = Settings(anonymized_telemetry=False) chroma_client = chromadb.PersistentClient( - path=str((local_data_path / "chroma_db").absolute()) + path=str((local_data_path / "chroma_db").absolute()), + settings=chroma_settings, ) chroma_collection = chroma_client.get_or_create_collection( "make_this_parameterizable_per_api_call" From ad512e3c4222c26d57656a3735edc8ef4087c634 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Iv=C3=A1n=20Mart=C3=ADnez?= Date: Sun, 5 Nov 2023 16:16:49 +0100 Subject: [PATCH 012/188] Feature/sagemaker embedding (#1161) * Sagemaker deployed embedding model support --------- Co-authored-by: Pablo Orgaz --- .../components/embedding/custom/__init__.py | 0 .../components/embedding/custom/sagemaker.py | 82 +++++++++++++++++++ .../embedding/embedding_component.py | 11 ++- .../components/llm/custom/sagemaker.py | 3 +- private_gpt/components/llm/llm_component.py | 2 +- private_gpt/settings/settings.py | 3 +- settings-docker.yaml | 3 +- settings-sagemaker.yaml | 14 ++++ settings.yaml | 3 +- 9 files changed, 114 insertions(+), 7 deletions(-) create mode 100644 private_gpt/components/embedding/custom/__init__.py create mode 100644 private_gpt/components/embedding/custom/sagemaker.py create mode 100644 settings-sagemaker.yaml diff --git a/private_gpt/components/embedding/custom/__init__.py b/private_gpt/components/embedding/custom/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/private_gpt/components/embedding/custom/sagemaker.py b/private_gpt/components/embedding/custom/sagemaker.py new file mode 100644 index 0000000..a1dddd0 --- /dev/null +++ b/private_gpt/components/embedding/custom/sagemaker.py @@ -0,0 +1,82 @@ +# mypy: ignore-errors +import json +from typing import Any + +import boto3 +from llama_index.embeddings.base import BaseEmbedding +from pydantic import Field, PrivateAttr + + +class SagemakerEmbedding(BaseEmbedding): + """Sagemaker Embedding Endpoint. + + To use, you must supply the endpoint name from your deployed + Sagemaker embedding model & the region where it is deployed. + + To authenticate, the AWS client uses the following methods to + automatically load credentials: + https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html + + If a specific credential profile should be used, you must pass + the name of the profile from the ~/.aws/credentials file that is to be used. + + Make sure the credentials / roles used have the required policies to + access the Sagemaker endpoint. + See: https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html + """ + + endpoint_name: str = Field(description="") + + _boto_client: Any = boto3.client( + "sagemaker-runtime", + ) # TODO make it an optional field + + _async_not_implemented_warned: bool = PrivateAttr(default=False) + + @classmethod + def class_name(cls) -> str: + return "SagemakerEmbedding" + + def _async_not_implemented_warn_once(self) -> None: + if not self._async_not_implemented_warned: + print("Async embedding not available, falling back to sync method.") + self._async_not_implemented_warned = True + + def _embed(self, sentences: list[str]) -> list[list[float]]: + request_params = { + "inputs": sentences, + } + + resp = self._boto_client.invoke_endpoint( + EndpointName=self.endpoint_name, + Body=json.dumps(request_params), + ContentType="application/json", + ) + + response_body = resp["Body"] + response_str = response_body.read().decode("utf-8") + response_json = json.loads(response_str) + + return response_json["vectors"] + + def _get_query_embedding(self, query: str) -> list[float]: + """Get query embedding.""" + return self._embed([query])[0] + + async def _aget_query_embedding(self, query: str) -> list[float]: + # Warn the user that sync is being used + self._async_not_implemented_warn_once() + return self._get_query_embedding(query) + + async def _aget_text_embedding(self, text: str) -> list[float]: + # Warn the user that sync is being used + self._async_not_implemented_warn_once() + return self._get_text_embedding(text) + + def _get_text_embedding(self, text: str) -> list[float]: + """Get text embedding.""" + return self._embed([text])[0] + + def _get_text_embeddings(self, texts: list[str]) -> list[list[float]]: + """Get text embeddings.""" + return self._embed(texts) diff --git a/private_gpt/components/embedding/embedding_component.py b/private_gpt/components/embedding/embedding_component.py index 079e72b..f71be0a 100644 --- a/private_gpt/components/embedding/embedding_component.py +++ b/private_gpt/components/embedding/embedding_component.py @@ -13,13 +13,22 @@ class EmbeddingComponent: @inject def __init__(self) -> None: match settings.llm.mode: - case "local" | "sagemaker": + case "local": from llama_index.embeddings import HuggingFaceEmbedding self.embedding_model = HuggingFaceEmbedding( model_name=settings.local.embedding_hf_model_name, cache_folder=str(models_cache_path), ) + case "sagemaker": + + from private_gpt.components.embedding.custom.sagemaker import ( + SagemakerEmbedding, + ) + + self.embedding_model = SagemakerEmbedding( + endpoint_name=settings.sagemaker.embedding_endpoint_name, + ) case "openai": from llama_index import OpenAIEmbedding diff --git a/private_gpt/components/llm/custom/sagemaker.py b/private_gpt/components/llm/custom/sagemaker.py index 284ee2c..2eedb1d 100644 --- a/private_gpt/components/llm/custom/sagemaker.py +++ b/private_gpt/components/llm/custom/sagemaker.py @@ -4,7 +4,7 @@ from __future__ import annotations import io import json import logging -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Any import boto3 # type: ignore from llama_index.bridge.pydantic import Field @@ -30,7 +30,6 @@ from llama_index.llms.llama_utils import ( if TYPE_CHECKING: from collections.abc import Sequence - from typing import Any from llama_index.callbacks import CallbackManager from llama_index.llms import ( diff --git a/private_gpt/components/llm/llm_component.py b/private_gpt/components/llm/llm_component.py index 2c32897..cad6ed6 100644 --- a/private_gpt/components/llm/llm_component.py +++ b/private_gpt/components/llm/llm_component.py @@ -36,7 +36,7 @@ class LLMComponent: from private_gpt.components.llm.custom.sagemaker import SagemakerLLM self.llm = SagemakerLLM( - endpoint_name=settings.sagemaker.endpoint_name, + endpoint_name=settings.sagemaker.llm_endpoint_name, ) case "openai": from llama_index.llms import OpenAI diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py index 73e5c92..16b1d4b 100644 --- a/private_gpt/settings/settings.py +++ b/private_gpt/settings/settings.py @@ -28,7 +28,8 @@ class LocalSettings(BaseModel): class SagemakerSettings(BaseModel): - endpoint_name: str + llm_endpoint_name: str + embedding_endpoint_name: str class OpenAISettings(BaseModel): diff --git a/settings-docker.yaml b/settings-docker.yaml index 12fea9f..49b3961 100644 --- a/settings-docker.yaml +++ b/settings-docker.yaml @@ -11,7 +11,8 @@ local: embedding_hf_model_name: ${PGPT_EMBEDDING_HF_MODEL_NAME:BAAI/bge-small-en-v1.5} sagemaker: - endpoint_name: ${PGPT_SAGEMAKER_ENDPOINT_NAME:} + llm_endpoint_name: ${PGPT_SAGEMAKER_LLM_ENDPOINT_NAME:} + embedding_endpoint_name: ${PGPT_SAGEMAKER_EMBEDDING_ENDPOINT_NAME:} ui: enabled: true diff --git a/settings-sagemaker.yaml b/settings-sagemaker.yaml new file mode 100644 index 0000000..774b8cb --- /dev/null +++ b/settings-sagemaker.yaml @@ -0,0 +1,14 @@ +server: + env_name: ${APP_ENV:prod} + port: ${PORT:8001} + +ui: + enabled: true + path: / + +llm: + mode: sagemaker + +sagemaker: + llm_endpoint_name: huggingface-pytorch-tgi-inference-2023-09-25-19-53-32-140 + embedding_endpoint_name: huggingface-pytorch-inference-2023-11-03-07-41-36-479 \ No newline at end of file diff --git a/settings.yaml b/settings.yaml index 5cdb556..fba278d 100644 --- a/settings.yaml +++ b/settings.yaml @@ -18,7 +18,8 @@ local: embedding_hf_model_name: BAAI/bge-small-en-v1.5 sagemaker: - endpoint_name: huggingface-pytorch-tgi-inference-2023-09-25-19-53-32-140 + llm_endpoint_name: huggingface-pytorch-tgi-inference-2023-09-25-19-53-32-140 + embedding_endpoint_name: huggingface-pytorch-inference-2023-11-03-07-41-36-479 openai: api_key: ${OPENAI_API_KEY:} From 0d677e10b970aec222ec04837d0f08f1631b6d4a Mon Sep 17 00:00:00 2001 From: Pablo Orgaz Date: Mon, 6 Nov 2023 14:24:16 +0100 Subject: [PATCH 013/188] feat: move torch and transformers to local group (#1172) --- .github/workflows/docker.yml | 1 + Dockerfile.external | 36 ++ Dockerfile => Dockerfile.local | 4 +- poetry.lock | 1075 ++++++++++++++++---------------- pyproject.toml | 10 +- 5 files changed, 566 insertions(+), 560 deletions(-) create mode 100644 Dockerfile.external rename Dockerfile => Dockerfile.local (90%) diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 803075f..259cf5d 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -39,6 +39,7 @@ jobs: uses: docker/build-push-action@v5 with: context: . + file: Dockerfile.external push: true tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} diff --git a/Dockerfile.external b/Dockerfile.external new file mode 100644 index 0000000..292eb38 --- /dev/null +++ b/Dockerfile.external @@ -0,0 +1,36 @@ +FROM python:3.11.6-slim-bookworm as base + +# Install poetry +RUN pip install pipx +RUN python3 -m pipx ensurepath +RUN pipx install poetry +ENV PATH="/root/.local/bin:$PATH" + +# https://python-poetry.org/docs/configuration/#virtualenvsin-project +ENV POETRY_VIRTUALENVS_IN_PROJECT=true + +FROM base as dependencies +WORKDIR /home/worker/app +COPY pyproject.toml poetry.lock ./ + +RUN poetry install --with ui + +FROM base as app + +ENV PYTHONUNBUFFERED=1 +ENV PORT=8080 +EXPOSE 8080 + +# Prepare a non-root user +RUN adduser --system worker +WORKDIR /home/worker/app + +RUN mkdir local_data; chown worker local_data +RUN mkdir models; chown worker models +COPY --chown=worker --from=dependencies /home/worker/app/.venv/ .venv +COPY --chown=worker private_gpt/ private_gpt +COPY --chown=worker docs/ docs +COPY --chown=worker *.yaml *.md ./ + +USER worker +ENTRYPOINT .venv/bin/python -m private_gpt \ No newline at end of file diff --git a/Dockerfile b/Dockerfile.local similarity index 90% rename from Dockerfile rename to Dockerfile.local index e9ebd15..86f717c 100644 --- a/Dockerfile +++ b/Dockerfile.local @@ -8,7 +8,7 @@ RUN python3 -m pipx ensurepath RUN pipx install poetry ENV PATH="/root/.local/bin:$PATH" -# Dependencies to build llama-cpp and wget +# Dependencies to build llama-cpp RUN apt update && apt install -y \ libopenblas-dev\ ninja-build\ @@ -23,13 +23,13 @@ FROM base as dependencies WORKDIR /home/worker/app COPY pyproject.toml poetry.lock ./ +RUN poetry install --with local RUN poetry install --with ui FROM base as app ENV PYTHONUNBUFFERED=1 ENV PORT=8080 -ENV PGPT_PROFILES=docker EXPOSE 8080 # Prepare a non-root user diff --git a/poetry.lock b/poetry.lock index 6739a3a..1c10aec 100644 --- a/poetry.lock +++ b/poetry.lock @@ -296,17 +296,17 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "boto3" -version = "1.28.72" +version = "1.28.78" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.7" files = [ - {file = "boto3-1.28.72-py3-none-any.whl", hash = "sha256:73e2b56dcbe1b856274185c908dcb5973b007d62c74b646e6bd2ac09a303983a"}, - {file = "boto3-1.28.72.tar.gz", hash = "sha256:cc7d939cdbb4ad3980274c96c589e95f028f740ac49a3547c8f4aaec6a7a6409"}, + {file = "boto3-1.28.78-py3-none-any.whl", hash = "sha256:ff8df4bb5aeb69acc64959a74b31042bfc52d64ca77dbe845a72c8062c48d179"}, + {file = "boto3-1.28.78.tar.gz", hash = "sha256:aa970b1571321846543a6e615848352fe7621f1cb96b4454e919421924af95f7"}, ] [package.dependencies] -botocore = ">=1.31.72,<1.32.0" +botocore = ">=1.31.78,<1.32.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.7.0,<0.8.0" @@ -315,13 +315,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.31.72" +version = "1.31.78" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">= 3.7" files = [ - {file = "botocore-1.31.72-py3-none-any.whl", hash = "sha256:1a0f5063a9a5e1ef40907c67778625cf14a8c47c8e09cd2b3f9dc53a8adb52cf"}, - 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(<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.15)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"] docs-specific = ["hf-doc-builder"] -fairscale = ["fairscale (>0.3)"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] @@ -4607,7 +4576,7 @@ serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"] tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -4814,13 +4783,13 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] [[package]] name = "uvicorn" -version = "0.23.2" +version = "0.24.0.post1" description = "The lightning-fast ASGI server." optional = false python-versions = ">=3.8" files = [ - {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"}, - {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"}, + {file = "uvicorn-0.24.0.post1-py3-none-any.whl", hash = "sha256:7c84fea70c619d4a710153482c0d230929af7bcf76c7bfa6de151f0a3a80121e"}, + {file = "uvicorn-0.24.0.post1.tar.gz", hash = "sha256:09c8e5a79dc466bdf28dead50093957db184de356fcdc48697bad3bde4c2588e"}, ] [package.dependencies] @@ -5124,13 +5093,13 @@ files = [ [[package]] name = "wheel" -version = "0.41.2" +version = "0.41.3" description = "A built-package format for Python" optional = false python-versions = ">=3.7" files = [ - {file = "wheel-0.41.2-py3-none-any.whl", hash = "sha256:75909db2664838d015e3d9139004ee16711748a52c8f336b52882266540215d8"}, - {file = "wheel-0.41.2.tar.gz", hash = "sha256:0c5ac5ff2afb79ac23ab82bab027a0be7b5dbcf2e54dc50efe4bf507de1f7985"}, + {file = "wheel-0.41.3-py3-none-any.whl", hash = "sha256:488609bc63a29322326e05560731bf7bfea8e48ad646e1f5e40d366607de0942"}, + {file = "wheel-0.41.3.tar.gz", hash = "sha256:4d4987ce51a49370ea65c0bfd2234e8ce80a12780820d9dc462597a6e60d0841"}, ] [package.extras] @@ -5325,4 +5294,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.12" -content-hash = "28fe3510739b539671c6cf447706c17934c31094f1a860e9e95452d9e63f5a46" +content-hash = "2e11477e0b1a37de6711a1962d37b04f57760ab892815b46d089ae9e63cfd6d7" diff --git a/pyproject.toml b/pyproject.toml index bc1d075..371783d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,9 +15,6 @@ pypdf = "^3.16.2" llama-index = "0.8.47" chromadb = "^0.4.13" watchdog = "^3.0.0" -transformers = "^4.34.0" -# https://stackoverflow.com/questions/76327419/valueerror-libcublas-so-0-9-not-found-in-the-system-path -torch = ">=2.0.0, !=2.0.1, !=2.1.0" [tool.poetry.group.dev.dependencies] black = "^22" @@ -38,9 +35,12 @@ gradio = "^3.45.2" [tool.poetry.group.local] optional = true [tool.poetry.group.local.dependencies] -sentence-transformers = "^2.2.2" -numpy = "1.26.0" llama-cpp-python = "^0.2.11" +numpy = "1.26.0" +sentence-transformers = "^2.2.2" +# https://stackoverflow.com/questions/76327419/valueerror-libcublas-so-0-9-not-found-in-the-system-path +torch = ">=2.0.0, !=2.0.1, !=2.1.0" +transformers = "^4.34.0" [build-system] requires = ["poetry-core>=1.0.0"] From 6583dc84c082773443fc3973b1cdf8095fa3fec3 Mon Sep 17 00:00:00 2001 From: lopagela Date: Mon, 6 Nov 2023 14:31:26 +0100 Subject: [PATCH 014/188] feat: Disable Gradio Analytics (#1165) * Disable Gradio Analytics Gradio analytics can be disabled by either using the kwargs `enable_analytics` on `gr.Blocks`, or by setting the env variable `GRADIO_ANALYTICS_ENABLED` to something different from `True`. Since that Gradio does not seem to respect their code contract (around `enable_analytics`), and that they are performing other operations only based on the value of `GRADIO_ANALYTICS_ENABLED` (c.f. `gradio.strings` https://github.com/gradio-app/gradio/blob/main/gradio/strings.py#L39), we are disabling gradio analytics by setting the required env variable to `False`. Note: Setting an environment variables using `os.environ['foo'] = 'bar'` on system that are not based on unix might not work. c.f. https://docs.python.org/3/library/os.html#os.environ for details on how `os.environ` works and all its caveats * Update private_gpt/__init__.py --- private_gpt/__init__.py | 12 ++++++++++++ private_gpt/ui/ui.py | 2 +- 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/private_gpt/__init__.py b/private_gpt/__init__.py index 1f40983..995365c 100644 --- a/private_gpt/__init__.py +++ b/private_gpt/__init__.py @@ -1,5 +1,6 @@ """private-gpt.""" import logging +import os # Set to 'DEBUG' to have extensive logging turned on, even for libraries ROOT_LOG_LEVEL = "INFO" @@ -9,3 +10,14 @@ PRETTY_LOG_FORMAT = ( ) logging.basicConfig(level=ROOT_LOG_LEVEL, format=PRETTY_LOG_FORMAT, datefmt="%H:%M:%S") logging.captureWarnings(True) + +# Disable gradio analytics +# This is done this way because gradio does not solely rely on what values are +# passed to gr.Blocks(enable_analytics=...) but also on the environment +# variable GRADIO_ANALYTICS_ENABLED. `gradio.strings` actually reads this env +# directly, so to fully disable gradio analytics we need to set this env var. +os.environ["GRADIO_ANALYTICS_ENABLED"] = "False" + +# Disable chromaDB telemetry +# It is already disabled, see PR#1144 +# os.environ["ANONYMIZED_TELEMETRY"] = "False" diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py index 9a276e6..a5a6ff6 100644 --- a/private_gpt/ui/ui.py +++ b/private_gpt/ui/ui.py @@ -111,7 +111,7 @@ with gr.Blocks( "}" ".logo img { height: 25% }", ) as blocks: - with gr.Blocks(), gr.Row(): + with gr.Row(): gr.HTML(f"