From 20098706401c92f5327c18c9844b97b6ae4302ba Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Georges=20Lorr=C3=A9?= <35808396+GeorgesLorre@users.noreply.github.com> Date: Mon, 3 Jul 2023 21:32:57 +0200 Subject: [PATCH 01/18] Add getting started documentation (#250) --- README.md | 5 + .../fondant_component.yaml | 6 +- .../image_resolution_extraction/src/main.py | 5 +- docs/getting_started.md | 310 ++++++++++++++++++ mkdocs.yml | 1 + 5 files changed, 322 insertions(+), 5 deletions(-) create mode 100644 docs/getting_started.md diff --git a/README.md b/README.md index 303701546..8349ab6f3 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,10 @@ And create high quality datasets to fine-tune your own foundation models.

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+## 💨 Getting Started + +Anxious to get started? Here's is a [step by step guide](https://fondant.readthedocs.io/en/latest/getting-started) to get your first pipeline up and running. + ## 🪄 Example pipelines Curious to see what Fondant can do? Have a look at our example pipelines: @@ -90,6 +94,7 @@ point to create datasets for training code assistants.

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+ ## 🧩 Reusable components Fondant comes with a library of reusable components, which can jumpstart your pipeline. diff --git a/components/image_resolution_extraction/fondant_component.yaml b/components/image_resolution_extraction/fondant_component.yaml index 3ded47331..cc917bad2 100644 --- a/components/image_resolution_extraction/fondant_component.yaml +++ b/components/image_resolution_extraction/fondant_component.yaml @@ -11,9 +11,9 @@ consumes: produces: images: fields: + data: + type: binary width: type: int16 height: - type: int16 - data: - type: binary \ No newline at end of file + type: int16 \ No newline at end of file diff --git a/components/image_resolution_extraction/src/main.py b/components/image_resolution_extraction/src/main.py index 8b0f03314..e1be245c2 100644 --- a/components/image_resolution_extraction/src/main.py +++ b/components/image_resolution_extraction/src/main.py @@ -39,8 +39,9 @@ def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame: """ logger.info("Filtering dataset...") - dataframe[[("images", "width"), ("images", "height")]] = \ - dataframe[[("images", "data")]].map(extract_dimensions) + dataframe[[("images", "width"), ("images", "height")]] = dataframe[ + [("images", "data")] + ].apply(lambda x: extract_dimensions(x.images.data), axis=1) return dataframe diff --git a/docs/getting_started.md b/docs/getting_started.md new file mode 100644 index 000000000..5ada9c2b2 --- /dev/null +++ b/docs/getting_started.md @@ -0,0 +1,310 @@ + + +## Setting up the environment + +### Installing fondant + +We suggest that you use a [virtual environment](https://docs.python.org/3/library/venv.html) for your project. Fondant supports Python >=3.8. + +Fondant can be installed using pip: + +```bash +pip install fondant[pipelines] +``` + +You can validate the installation of fondant by running its root CLI command: +```bash +fondant --help +``` + +## Your first pipeline + +Create a `pipeline.py` file in the root of your project and add the following code: + +```Python +from fondant.pipeline import Pipeline, ComponentOp + +my_pipeline = Pipeline( + pipeline_name='my_pipeline', + base_path='/home/username/my_pipeline', # TODO: update this + pipeline_description='This is my pipeline', +) +``` + +This is all you need to initialize a fondant pipeline: + +- **pipeline_name**: A name to reference your pipeline. +- **base_path**: The base path that fondant should use to store artifacts and data. This base_path can be a local path or a cloud storage path (e.g. s3://my_bucket/artifacts, or gs://my_bucket/artifacts). +- **pipeline_description**: A description of your pipeline. + +## Adding components + +Now that we have a pipeline, we can add components to it. Components are the building blocks of your pipeline. They are the individual steps that will be executed in your pipeline. There are 2 main types of components: + +- **reusable components**: These are components that are already created by the community and can be easily used in your pipeline. You can find a list of reusable components [here](https://github.com/ml6team/fondant/tree/main/components). They often have arguments that you can set to configure them for your use case. + +- **custom components**: These are the components you create to solve your use case. A custom component can be easily created by adding a `fondant_component.yaml`, `dockerfile` and `main.py` file to your component subdirectory. The `fondant_component.yaml` file contains the specification of your component. You can find more information about it [here](https://github.com/ml6team/fondant/blob/main/docs/component_spec.md) + +Let's add a reusable component to our pipeline. We will use the `load_from_hf_hub` component to read data from huggingface. Add the following code to your `pipeline.py` file: + +```Python +load_from_hf_hub = ComponentOp.from_registry( + name='load_from_hf_hub', + component_spec_path='components/load_from_hf_hub/fondant_component.yml', + arguments={ + 'dataset_name': 'huggan/pokemon', + 'n_rows_to_load': 100, + 'column_name_mapping': { + 'image': 'images_data', + }, + "image_column_names": ["image"], + + } +) + +my_pipeline.add_op(load_from_hf_hub, dependencies=[]) +``` + +Two things are happening here: +1. We created a ComponentOp from the registry. This is a reusable component, we pass it arguments needed to configure it + +- **dataset_name**: The name of the dataset on huggingface hub, here we load a [dataset with pokemon images](https://huggingface.co/datasets/huggan/pokemon) +- **n_rows_to_load**: The number of rows to load from the dataset. This is useful for testing your pipeline on a small scale. +- **column_name_mapping**: A mapping of the columns in the dataset to the columns in fondant. Here we map the `image` column in the dataset to the `images_raw` subset_column in fondant. +- **image_column_names**: A list of the original image column names in the dataset. This is used to format the image from the huggingface hub format to a byte string. + + +2. We add our created componentOp to the pipeline using the `add_op` method. This component has no dependencies since it is the first component in our pipeline. + + +Next create a file `load_from_hf_hub/fondant_component.yml` with the following content: + +```yaml +name: Load from hub +description: Component that loads a dataset from the hub +image: ghcr.io/ml6team/load_from_hf_hub:latest + +produces: + images: # subset name + fields: + data: # field name + type: binary # field type + + +args: + dataset_name: + description: Name of dataset on the hub + type: str + column_name_mapping: + description: Mapping of the consumed hub dataset to fondant column names + type: dict + image_column_names: + description: Optional argument, a list containing the original image column names in case the + dataset on the hub contains them. Used to format the image from HF hub format to a byte string. + type: list + default: None + n_rows_to_load: + description: Optional argument that defines the number of rows to load. Useful for testing pipeline runs on a small scale + type: int + default: None +``` + +This is the component spec of the component we have just added to our pipelines, the only thing we have altered is the `produces` section. We have defined what subsets, fields and types this component produces. + +Your project should look like this now: +``` +. +├── components +│ └── load_from_hf_hub +│ └── fondant_component.yml +└── pipeline.py +``` + +We now have a fully functional Fondant pipeline, it does not have much functionality yet, but it is a good starting point to build upon. We can already try running this limited example in order to validate our setup. + +## Running your pipeline + +A Fondant pipeline needs to be compiled before it can be ran. This means translating the user friendly Fondant pipeline definition into something that can be executed by a runner. + +There are currently 2 runners available: +- Local runner: This runner runs the pipeline locally on your machine. This is useful for testing your pipeline. We leverage Docker Compose to compile and run the pipeline locally. +- Kubeflow runner: This runner runs the pipeline on a Kubeflow cluster. This is useful for running your pipeline in production on full data. + +Fondant has a feature rich CLI that helps you with these steps, let's start by runnin our pipeline with the local runner: + +```bash +fondant run pipeline:my_pipeline --local +``` + +We call the fondant CLI to compile and run our pipeline, we pass a reference to our pipeline using the import_string syntax `:`. We also pass the `--local` flag to indicate we want to compile our pipeline for the local runner. +Running this command will create a `docker-compose.yml` file with the compiled pipeline definition. Feel free to inspect this file but changing it is not needed. + +Note that if you use a local `base_path` in your pipeline declaration that this path will be mounted in the docker containers. This means that the data will be stored locally on your machine. If you use a cloud storage path, the data will be stored in the cloud. + +You should see the image used by the component being pulled and a container being created that downloads the dataset from huggingface hub. This container will be removed after the pipeline has finished running. But the data should be stored as parquet files in the `base_path` you defined when creating the pipeline. + + +## Adding a custom component + +Let's expand our pipeline by adding a custom component that will add the height and width of the images as extra columns. + + +First we create a new folder under `/components` for our new custom component: + +```bash +mkdir components/extract_resolution +``` + +We need to create a couple of things for our custom component: + +1. A `fondant_component.yml` file that contains the metadata of our component, this defines the data the component needs (`consumes`) and what data the component produces (`produces`). + +```yaml +name: Image resolution extraction +description: Component that extracts image resolution data from the images +image: . + +consumes: + images: + fields: + data: + type: binary + +produces: + images: + fields: + data: + type: binary + width: + type: int16 + height: + type: int16 +``` +In our case this component will consume the data field of the images subset and produce the width and height of the images as extra columns. + + +Now let's create some code (in `extract_resolution/src/main.py`) that will extract the width and height of the images: + +```python +"""This component filters images of the dataset based on image size (minimum height and width).""" +import io +import logging +import typing as t + +import imagesize +import numpy as np +import pandas as pd + +from fondant.component import PandasTransformComponent + +logger = logging.getLogger(__name__) + + +def extract_dimensions(images: bytes) -> t.Tuple[np.int16, np.int16]: + """Extract the width and height of an image. + + Args: + images: input dataframe with images_data column + + Returns: + np.int16: width of the image + np.int16: height of the image + """ + width, height = imagesize.get(io.BytesIO(images)) + + return np.int16(width), np.int16(height) + + +class ImageResolutionExtractionComponent(PandasTransformComponent): + """Component that extracts image dimensions.""" + + def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame: + """ + Args: + dataframe: Dask dataframe + Returns: + dataset. + """ + logger.info("Filtering dataset...") + + dataframe[[("images", "width"), ("images", "height")]] = \ + dataframe[[("images", "data")]].apply(lambda x:extract_dimensions(x.images.data), axis=1) + + return dataframe + + +if __name__ == "__main__": + component = ImageResolutionExtractionComponent.from_args() + component.run() + +``` +This component is rather simple it will take the images as input and extract the width and height of the images. It will then add these columns to the images subset and return the dataframe. We subclass the `PandasTransformComponent` where the user only needs to define the `transform` method. This method will be called with a pandas dataframe as input and should return a pandas dataframe as output. + +The last thing we need for our component is a `Dockerfile` that specifies the steps needed to build the image our component needs: + +```dockerfile +FROM --platform=linux/amd64 python:3.8-slim + +## System dependencies +RUN apt-get update && \ + apt-get upgrade -y && \ + apt-get install git -y + +# install requirements +COPY requirements.txt / +RUN pip3 install --no-cache-dir -r requirements.txt + +# Set the working directory to the component folder +WORKDIR /component/src + +# Copy over src-files +COPY src/ . + +ENTRYPOINT ["python", "main.py"] +``` +There is nothing special about this Dockerfile, it installs the python dependencies and copies over the source code of our component. + +And a `requirements.txt` file that specifies the python dependencies of our component: + +``` +fondant==0.2.0 +pyarrow>=7.0 +imagesize==1.4.1 +``` + +With our component complete we can now add it to our pipeline definition (`pipeline.py`): + +```python +extract_resolution = ComponentOp( + component_spec_path='components/extract_resolution/fondant_component.yml', +) + +my_pipeline.add_op(load_from_hf_hub) # this line was already there +my_pipeline.add_op(extract_resolution, dependencies=load_from_hf_hub) +``` + +We add the component to our pipeline definition and specify that it depends on the `load_from_hf_hub` component. This means that the `load_from_hf_hub` component will be executed first and the output of that component will be passed to the `extract_resolution` component. + +We can now easily run or new pipeline: + +```bash +fondant run pipeline:my_pipeline --local +``` + +You will see that the components runs sequentially and that each has its own logs. + +Note that with custom components that the image will be built as part of running the pipeline by leveraging a `build` spec in the docker-compose file. This means that you can change the code of your component and run the pipeline again without having to rebuild the image manually. + + +We now have a simple pipeline that downloads a dataset from huggingface hub and extracts the width and height of the images. A possible next step is to create a component that [filters the data based on the aspect ratio](https://github.com/ml6team/fondant/tree/main/components/filter_image_resolution) ? Or run a [clip model on the images to get captions](https://github.com/ml6team/fondant/tree/main/components/image_embedding)? + +## Explore the data + + +Fondant includes a data explorer tools that lets you inspect the intermediate data of your pipeline. You can start the data explorer by running: + +```bash +fondant explore --data-directory "path/to/your/data" +``` + +Note that if you use a remote path (S3, GCS) you can also pass credentials using the `--credentials` flag. For all the options of the data explorer run `fondant explore --help`. \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 8c009a223..80adad635 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -28,6 +28,7 @@ theme: - navigation.tracking nav: - Home: index.md + - Getting Started: getting_started.md - Building a pipeline: pipeline.md - Creating custom components: custom_component.md - Read / write components: generic_component.md From 5943b9439fe5bb42809e37d41323ae554f3e8235 Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Tue, 4 Jul 2023 09:51:44 +0200 Subject: [PATCH 02/18] Promote package from test.PyPI to PyPI without rebuilding (#258) Fixes #255 We were rebuilding the fondant package when publishing to PyPI, which doesn't follow the "build once" mantra, and we were already suffering the consequences. Our `build_components.sh` script updates the image version in the component spec of the reusable components, which are included in the fondant python package. However this script only runs in the pipeline pushing to test.PyPI, not in the actual release pipeline pushing to PyPI. This PR now downloads the package from test.PyPI and pushes it to PyPI instead of rebuilding, which should fix this issue. Since the pipelines diverged further, I split them into separate files and removed the conditionals. --- .github/workflows/prep-release.yaml | 48 +++++++++++++++++++++++++++++ .github/workflows/release.yaml | 45 ++++----------------------- 2 files changed, 54 insertions(+), 39 deletions(-) create mode 100644 .github/workflows/prep-release.yaml diff --git a/.github/workflows/prep-release.yaml b/.github/workflows/prep-release.yaml new file mode 100644 index 000000000..8f57a7552 --- /dev/null +++ b/.github/workflows/prep-release.yaml @@ -0,0 +1,48 @@ +name: Build Python 🐍 distributions 📦 and publish to TestPyPI +on: + push: + tags: + - '[0-9]+.[0-9]+.[0-9]+*' +jobs: + build-n-publish: + name: Build Python 🐍 distributions 📦 and publish to TestPyPI + runs-on: ubuntu-latest + permissions: + id-token: write + packages: write + steps: + - uses: actions/checkout@master + + - name: Set up Python 3.9 + uses: actions/setup-python@v1 + with: + python-version: 3.9 + + - name: Login to GitHub Container Registry + uses: docker/login-action@v2 + with: + registry: ghcr.io + username: ${{ github.actor }} + password: ${{ secrets.GITHUB_TOKEN }} + + - name: Build components + run: ./scripts/build_components.sh -t $GITHUB_REF_NAME + + - name: Build data explorer + run: ./scripts/build_explorer.sh -t $GITHUB_REF_NAME + + - name: Update version in pyproject.toml with tag version + run: sed -i "s/^version = .*/version = '${{github.ref_name}}'/" pyproject.toml + + - name: Build a binary wheel and a source tarball + run: | + pip install poetry + ./scripts/pre-build.sh + poetry build + + - name: Publish distribution 📦 to Test PyPI + uses: pypa/gh-action-pypi-publish@v1.8.6 + with: + name: testpypi + repository_url: https://test.pypi.org/legacy/ + url: https://test.pypi.org/p/fondant diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 262f6b91d..2d4d3a4c6 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -1,26 +1,16 @@ -name: Publish Python 🐍 distributions 📦 to PyPI and TestPyPI +name: Publish Python 🐍 distributions 📦 to PyPI on: - push: - tags: - - '[0-9]+.[0-9]+.[0-9]+*' release: types: - published jobs: build-n-publish: - name: Build and publish Python 🐍 distributions 📦 to PyPI and TestPyPI + name: Publish Python 🐍 distributions 📦 to PyPI runs-on: ubuntu-latest permissions: id-token: write packages: write steps: - - uses: actions/checkout@master - - - name: Set up Python 3.9 - uses: actions/setup-python@v1 - with: - python-version: 3.9 - - name: Login to GitHub Container Registry uses: docker/login-action@v2 with: @@ -28,42 +18,19 @@ jobs: username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - - name: Build components - if: github.event_name == 'push' - run: ./scripts/build_components.sh -t $GITHUB_REF_NAME - - name: Tag components - if: github.event_name == 'release' run: ./scripts/tag_components.sh -o $GITHUB_REF_NAME -n latest - - name: Build data explorer - if: github.event_name == 'push' - run: ./scripts/build_explorer.sh -t $GITHUB_REF_NAME - - name: Tag data explorer - if: github.event_name == 'release' run: ./scripts/tag_explorer.sh -o $GITHUB_REF_NAME -n latest - - name: Update version in pyproject.toml with tag version - run: sed -i "s/^version = .*/version = '${{github.ref_name}}'/" pyproject.toml - - - name: Build a binary wheel and a source tarball + - name: Download distributions from test.PyPI run: | - pip install poetry - ./scripts/pre-build.sh - poetry build - - - name: Publish distribution 📦 to Test PyPI - if: github.event_name == 'push' - uses: pypa/gh-action-pypi-publish@v1.8.6 - with: - name: testpypi - repository_url: https://test.pypi.org/legacy/ - url: https://test.pypi.org/p/fondant + curl -LO https://test.pypi.org/fondant/fondant-$GITHUB_REF_NAME.tar.gz --output-dir dist --create-dirs + curl -LO https://test.pypi.org/fondant/fondant-$GITHUB_REF_NAME-py3-none-any.whl --output-dir dist --create-dirs - name: Publish distribution 📦 to PyPI if triggered by release - if: github.event_name == 'release' uses: pypa/gh-action-pypi-publish@v1.8.6 with: name: pypi - url: https://pypi.org/p/fondant \ No newline at end of file + url: https://pypi.org/p/fondant From cb798cb4d068111044095d39a4560e339eeda2cf Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Tue, 4 Jul 2023 14:20:26 +0200 Subject: [PATCH 03/18] Redefine empty images array each loop (#262) The array of images was not reset in between loops, leading to the same image being set in each component specification. --- .github/workflows/build.yaml | 2 +- scripts/build_components.sh | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index 390603bb6..201a82e30 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -3,7 +3,7 @@ name: Build dev images on: push: branches: - - main + - "bugfix/build-dev" jobs: docker: diff --git a/scripts/build_components.sh b/scripts/build_components.sh index f09c72613..19d885b7f 100755 --- a/scripts/build_components.sh +++ b/scripts/build_components.sh @@ -40,6 +40,7 @@ for dir in "$component_dir"/*/; do BASENAME=${dir%/} BASENAME=${BASENAME##*/} + full_image_names=() echo "Tagging image with following tags:" for tag in "${tags[@]}"; do full_image_name=ghcr.io/${namespace}/${BASENAME}:${tag} @@ -62,8 +63,8 @@ for dir in "$component_dir"/*/; do # Add cache arguments if caching is enabled if [ "$caching" = true ] ; then - echo "Caching from/to ${cache_name}" cache_name=ghcr.io/${namespace}/${BASENAME}:build-cache + echo "Caching from/to ${cache_name}" args+=(--cache-to "type=registry,ref=${cache_name}") args+=(--cache-from "type=registry,ref=${cache_name}") fi From 6af1181a91c399bd42b0860591502dc610a9cf4f Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Tue, 4 Jul 2023 14:20:51 +0200 Subject: [PATCH 04/18] Install buildx in prep-release pipeline (#263) [The prep-release pipeline failed](https://github.com/ml6team/fondant/actions/runs/5452193633) because the new build script requires buildx. --- .github/workflows/build.yaml | 6 +++--- .github/workflows/prep-release.yaml | 6 ++++++ 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index 201a82e30..c80e8d8eb 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -15,6 +15,9 @@ jobs: - name: Set up Docker Buildx uses: docker/setup-buildx-action@v2 + - name: Set buildx alias + run: docker buildx install + - name: Login to GitHub Container Registry uses: docker/login-action@v2 with: @@ -22,8 +25,5 @@ jobs: username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - - name: Set buildx alias - run: docker buildx install - - name: Build components run: ./scripts/build_components.sh --cache -t $GITHUB_SHA -t dev diff --git a/.github/workflows/prep-release.yaml b/.github/workflows/prep-release.yaml index 8f57a7552..e9b84416a 100644 --- a/.github/workflows/prep-release.yaml +++ b/.github/workflows/prep-release.yaml @@ -18,6 +18,12 @@ jobs: with: python-version: 3.9 + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + + - name: Set buildx alias + run: docker buildx install + - name: Login to GitHub Container Registry uses: docker/login-action@v2 with: From b450d1fc2e047bb3aa6e8b7cca784c5054317c22 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Georges=20Lorr=C3=A9?= <35808396+GeorgesLorre@users.noreply.github.com> Date: Tue, 4 Jul 2023 14:58:41 +0200 Subject: [PATCH 05/18] Revert target branch to main (#264) --- .github/workflows/build.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index c80e8d8eb..54fa75a1b 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -3,7 +3,7 @@ name: Build dev images on: push: branches: - - "bugfix/build-dev" + - main jobs: docker: From 05701178a383df98d33e1423244a3e48dab6513e Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Wed, 5 Jul 2023 09:37:36 +0200 Subject: [PATCH 06/18] Update build_explorer.sh to use buildx (#266) `buildx` doesn't save the manifest locally when building, so we need to push it in the same command. --- scripts/build_explorer.sh | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/scripts/build_explorer.sh b/scripts/build_explorer.sh index 08492535e..1a1af24c7 100755 --- a/scripts/build_explorer.sh +++ b/scripts/build_explorer.sh @@ -45,11 +45,8 @@ echo "building $full_image_name" # Update the fondant requirement to the version being built sed -i "s|fondant@main|fondant@$tag|" requirements.txt -docker build -t "$full_image_name" \ +docker build --push -t "$full_image_name" \ --label org.opencontainers.image.source=https://github.com/${namespace}/${repo} \ . -echo "Pushing image to $full_image_name" -docker push "$full_image_name" - popd \ No newline at end of file From fa235986185e4a85f09472bd6bf8a8a06815a590 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Georges=20Lorr=C3=A9?= <35808396+GeorgesLorre@users.noreply.github.com> Date: Wed, 5 Jul 2023 10:08:13 +0200 Subject: [PATCH 07/18] Fix link to getting-started docs (#267) --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8349ab6f3..132c5408d 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,7 @@ And create high quality datasets to fine-tune your own foundation models. ## 💨 Getting Started -Anxious to get started? Here's is a [step by step guide](https://fondant.readthedocs.io/en/latest/getting-started) to get your first pipeline up and running. +Anxious to get started? Here's is a [step by step guide](https://fondant.readthedocs.io/en/latest/getting_started) to get your first pipeline up and running. ## 🪄 Example pipelines From c534e9d1a295f6fb24802b121450dbdb71c9f96f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Georges=20Lorr=C3=A9?= <35808396+GeorgesLorre@users.noreply.github.com> Date: Wed, 5 Jul 2023 13:17:30 +0200 Subject: [PATCH 08/18] Add checkout to release pipeline (#271) --- .github/workflows/release.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 2d4d3a4c6..2cfa6c411 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -11,6 +11,8 @@ jobs: id-token: write packages: write steps: + - uses: actions/checkout@master + - name: Login to GitHub Container Registry uses: docker/login-action@v2 with: From cbd69e93671fbb1836c057f4be2c02255d5fc050 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Georges=20Lorr=C3=A9?= <35808396+GeorgesLorre@users.noreply.github.com> Date: Wed, 5 Jul 2023 16:08:19 +0200 Subject: [PATCH 09/18] Update tag script to tag without pulling (#272) --- .github/workflows/release.yaml | 6 ++++++ scripts/tag_components.sh | 5 ++--- scripts/tag_explorer.sh | 7 +++---- 3 files changed, 11 insertions(+), 7 deletions(-) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 2cfa6c411..dcc259510 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -13,6 +13,12 @@ jobs: steps: - uses: actions/checkout@master + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + + - name: Set buildx alias + run: docker buildx install + - name: Login to GitHub Container Registry uses: docker/login-action@v2 with: diff --git a/scripts/tag_components.sh b/scripts/tag_components.sh index 4b184ac70..1a3af9144 100755 --- a/scripts/tag_components.sh +++ b/scripts/tag_components.sh @@ -43,9 +43,8 @@ for dir in "$component_dir"/*/; do echo "$old_image_name" echo "$new_image_name" - docker pull "$old_image_name" - docker tag "$old_image_name" "$new_image_name" - docker push "$new_image_name" + # apply new tag + docker buildx imagetools create "$old_image_name" --tag "$new_image_name" popd done diff --git a/scripts/tag_explorer.sh b/scripts/tag_explorer.sh index e8aece6a9..a706383fb 100755 --- a/scripts/tag_explorer.sh +++ b/scripts/tag_explorer.sh @@ -42,8 +42,7 @@ new_image_name=ghcr.io/${namespace}/${BASENAME}:${new_tag} echo "$old_image_name" echo "$new_image_name" -docker pull "$old_image_name" -docker tag "$old_image_name" "$new_image_name" -docker push "$new_image_name" +# apply new tag +docker buildx imagetools create "$old_image_name" --tag "$new_image_name" -popd +popd \ No newline at end of file From ab1e6de9088ebb0edfbec917216c32fb43b43600 Mon Sep 17 00:00:00 2001 From: Sharon Date: Wed, 5 Jul 2023 16:44:43 +0200 Subject: [PATCH 10/18] [Commoncrawl pipeline] Add load from commoncrawl component (#269) This component is the first part of the commoncrawl pipeline. Given an index, this component loads the corresponding index file from the AWS Public Data Sets (S3 bucket) and returns a list of its WARC segment file paths as a dataframe. --- .../load_from_commoncrawl/Dockerfile | 18 ++++ .../fondant_component.yaml | 18 ++++ .../load_from_commoncrawl/requirements.txt | 2 + .../load_from_commoncrawl/src/main.py | 89 +++++++++++++++++++ 4 files changed, 127 insertions(+) create mode 100644 examples/pipelines/commoncrawl/components/load_from_commoncrawl/Dockerfile create mode 100644 examples/pipelines/commoncrawl/components/load_from_commoncrawl/fondant_component.yaml create mode 100644 examples/pipelines/commoncrawl/components/load_from_commoncrawl/requirements.txt create mode 100644 examples/pipelines/commoncrawl/components/load_from_commoncrawl/src/main.py diff --git a/examples/pipelines/commoncrawl/components/load_from_commoncrawl/Dockerfile b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/Dockerfile new file mode 100644 index 000000000..605adc7e9 --- /dev/null +++ b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/Dockerfile @@ -0,0 +1,18 @@ +FROM --platform=linux/amd64 python:3.8-slim + +## System dependencies +RUN apt-get update && \ + apt-get upgrade -y && \ + apt-get install git -y + +# install requirements +COPY requirements.txt / +RUN pip3 install --no-cache-dir -r requirements.txt + +# Set the working directory to the component folder +WORKDIR /component/src + +# Copy over src-files +COPY src/ . + +ENTRYPOINT ["python", "main.py"] \ No newline at end of file diff --git a/examples/pipelines/commoncrawl/components/load_from_commoncrawl/fondant_component.yaml b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/fondant_component.yaml new file mode 100644 index 000000000..4037b77fa --- /dev/null +++ b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/fondant_component.yaml @@ -0,0 +1,18 @@ +name: Load index file from commoncrawl +description: Component that loads a given index file from commoncrawl +image: ghcr.io/ml6team/load_from_commoncrawl:latest + +produces: + segment: + fields: + path: + type: string + +args: + index_name: + description: Name of index file on commoncrawl + type: str + n_segments_to_load: + description: Number of segments to load from the commoncrawl index file + type: int + default: None \ No newline at end of file diff --git a/examples/pipelines/commoncrawl/components/load_from_commoncrawl/requirements.txt b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/requirements.txt new file mode 100644 index 000000000..3814fd014 --- /dev/null +++ b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/requirements.txt @@ -0,0 +1,2 @@ +boto3==1.26.158 +git+https://github.com/ml6team/fondant@main \ No newline at end of file diff --git a/examples/pipelines/commoncrawl/components/load_from_commoncrawl/src/main.py b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/src/main.py new file mode 100644 index 000000000..99755f1fa --- /dev/null +++ b/examples/pipelines/commoncrawl/components/load_from_commoncrawl/src/main.py @@ -0,0 +1,89 @@ +"""This component loads a dataset from CommonCrawl based on a given index.""" +import logging +import typing as t + +import io +import boto3 +import gzip + +import dask.dataframe as dd +import pandas as pd + +from fondant.component import LoadComponent + +logger = logging.getLogger(__name__) + +S3_COMMONCRAWL_BUCKET = "commoncrawl" + + +def fetch_warc_file_from_s3(s3_bucket: str, s3_key: str) -> bytes: + """Fetches a WARC file from S3 and returns its content as a Dask DataFrame. + Args: + s3_bucket: The name of the S3 bucket. + s3_key: The key of the S3 object to be downloaded. + Returns: + File object containing the WARC file content. + """ + logger.info(f"Fetching WARC file from S3: {s3_bucket}/{s3_key}...") + + s3 = boto3.client("s3") + file_obj = io.BytesIO() + s3.download_fileobj(s3_bucket, s3_key, file_obj) + file_obj.seek(0) + + return file_obj + + +def read_warc_paths_file( + warc_file: bytes, n_segments_to_load: t.Optional[int] = None +) -> dd.DataFrame: + """Reads a WARC file containing a list of segment file paths and returns a Dask DataFrame. + Args: + warc_file: The WARC file to read. + n_segments_to_load: The number of segments to load from the WARC file. + Returns: + A Dask DataFrame containing the segment file paths. + """ + logger.info(f"Reading WARC file...") + warc_paths = [] + with gzip.open(warc_file, mode="rt") as f: + warc_paths = [line.strip() for line in f] + + df = pd.DataFrame(warc_paths, columns=["warc_paths"]) + dask_df = dd.from_pandas(df, npartitions=1) + dask_df = dask_df.rename(columns={"warc_paths": "segment_path"}) + + if n_segments_to_load: + dask_df = dask_df.head(n_segments_to_load) + dask_df = dd.from_pandas(dask_df, npartitions=1) + + return dask_df + + +class LoadFromCommonCrawl(LoadComponent): + def load( + self, index_name: str, n_segments_to_load: t.Optional[int] = None + ) -> dd.DataFrame: + """Loads a dataset of segment file paths from CommonCrawl based on a given index. + Args: + index_name: The name of the CommonCrawl index to load. + n_segments_to_load: The number of segments to load from the index. + Returns: + A Dask DataFrame containing the segment file paths. + """ + logger.info(f"Loading CommonCrawl index {index_name}...") + warc_paths_file_key = f"crawl-data/{index_name}/warc.paths.gz" + warc_paths_file_content = fetch_warc_file_from_s3( + S3_COMMONCRAWL_BUCKET, warc_paths_file_key + ) + + warc_paths_df = read_warc_paths_file( + warc_paths_file_content, n_segments_to_load + ) + + return warc_paths_df + + +if __name__ == "__main__": + component = LoadFromCommonCrawl.from_args() + component.run() From b544cd4a77f52caafc491dce3ab67461cac156ba Mon Sep 17 00:00:00 2001 From: Matthias Richter Date: Wed, 5 Jul 2023 18:24:52 +0200 Subject: [PATCH 11/18] [LLM pipeline] Add normalize text component (#246) Component which applies different text normalization (nfc, lowercasing and regex pattern replacements) This component is needed for the LLM dataset creation pipeline. --- components/text_normalization/Dockerfile | 18 +++++ .../text_normalization/fondant_component.yaml | 20 ++++++ .../text_normalization/requirements.txt | 3 + components/text_normalization/src/main.py | 65 +++++++++++++++++++ 4 files changed, 106 insertions(+) create mode 100644 components/text_normalization/Dockerfile create mode 100644 components/text_normalization/fondant_component.yaml create mode 100644 components/text_normalization/requirements.txt create mode 100644 components/text_normalization/src/main.py diff --git a/components/text_normalization/Dockerfile b/components/text_normalization/Dockerfile new file mode 100644 index 000000000..605adc7e9 --- /dev/null +++ b/components/text_normalization/Dockerfile @@ -0,0 +1,18 @@ +FROM --platform=linux/amd64 python:3.8-slim + +## System dependencies +RUN apt-get update && \ + apt-get upgrade -y && \ + apt-get install git -y + +# install requirements +COPY requirements.txt / +RUN pip3 install --no-cache-dir -r requirements.txt + +# Set the working directory to the component folder +WORKDIR /component/src + +# Copy over src-files +COPY src/ . + +ENTRYPOINT ["python", "main.py"] \ No newline at end of file diff --git a/components/text_normalization/fondant_component.yaml b/components/text_normalization/fondant_component.yaml new file mode 100644 index 000000000..6119e914d --- /dev/null +++ b/components/text_normalization/fondant_component.yaml @@ -0,0 +1,20 @@ +name: Normalize text. +description: A component that normalizes text. +image: ghcr.io/ml6team/text_normalization:latest + +consumes: + text: + fields: + data: + type: string + +args: + apply_nfc: + description: If true apply nfc normalization + type: bool + do_lowercase: + description: If true apply lowercasing + type: bool + characters_to_remove: + description: List of characters which will be removed, e.g. [?,.!,@#%] + type: list \ No newline at end of file diff --git a/components/text_normalization/requirements.txt b/components/text_normalization/requirements.txt new file mode 100644 index 000000000..4806d9bcf --- /dev/null +++ b/components/text_normalization/requirements.txt @@ -0,0 +1,3 @@ +git+https://github.com/ml6team/fondant.git@main +pyarrow>=7.0 +gcsfs==2023.4.00 \ No newline at end of file diff --git a/components/text_normalization/src/main.py b/components/text_normalization/src/main.py new file mode 100644 index 000000000..8959944ae --- /dev/null +++ b/components/text_normalization/src/main.py @@ -0,0 +1,65 @@ +"""A component that normalizes text.""" +import logging +import re +import unicodedata +from typing import List + +import pandas as pd + +from fondant.component import PandasTransformComponent + +logger = logging.getLogger(__name__) + + +class TextNormalizationComponent(PandasTransformComponent): + """Component that normalizes text.""" + + def setup(self, *, apply_nfc: bool, do_lowercase: bool, characters_to_remove: List[str]): + self.apply_nfc = apply_nfc + self.do_lowercase = do_lowercase + self.characters_to_remove = characters_to_remove + + @staticmethod + def _do_nfc_normalization(text: str): + """Apply nfc normalization to the text of the dataframe.""" + return unicodedata.normalize("NFC", text) + + @staticmethod + def _remove_patterns(regex_patterns: List[str], text: str): + """Remove each regex pattern in the provided string.""" + for pattern in regex_patterns: + text = re.sub(pattern, "", text) + return text + + def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame: + """ + Apply normalization transformations. The component is capable of: + - NFC normalization + - Lowercasing + - Removing of regex patterns. + + Args: + dataframe: Pandas dataframe. + + Returns: + Pandas dataframe + """ + if self.apply_nfc: + dataframe["text"]["data"].apply(lambda x: self._do_nfc_normalization(x)) + + if self.do_lowercase: + dataframe["text"]["data"].apply(lambda x: x.lower()) + + if len(self.characters_to_remove) > 0: + dataframe["text"]["data"].apply( + lambda x: self._remove_patterns( + self.characters_to_remove, x, + ), + ) + + return dataframe + + +if __name__ == "__main__": + component = TextNormalizationComponent.from_args() + component.run() From d06b9e08d545730c9f5fcefd58e8339227360c19 Mon Sep 17 00:00:00 2001 From: Matthias Richter Date: Wed, 5 Jul 2023 18:25:52 +0200 Subject: [PATCH 12/18] [LLM pipeline] Language filter component (#232) This PR adds the first component for the LLM dataset creation pipeline. The component is a language filter which filters out rows in a provided dataframe that are not matching the provided language. FastText is used for the language detection. Changes - add component - add unit test to test the filter logic inside of the component Note: Did not create a pipeline that uses this component yet. --------- Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Robbe Sneyders --- components/language_filter/Dockerfile | 18 +++++ components/language_filter/README.md | 7 ++ .../language_filter/fondant_component.yaml | 14 ++++ components/language_filter/requirements.txt | 4 + components/language_filter/src/lid.176.ftz | Bin 0 -> 938013 bytes components/language_filter/src/main.py | 72 ++++++++++++++++++ .../tests/language_filter_component_test.py | 54 +++++++++++++ 7 files changed, 169 insertions(+) create mode 100644 components/language_filter/Dockerfile create mode 100644 components/language_filter/README.md create mode 100644 components/language_filter/fondant_component.yaml create mode 100644 components/language_filter/requirements.txt create mode 100644 components/language_filter/src/lid.176.ftz create mode 100644 components/language_filter/src/main.py create mode 100644 components/language_filter/tests/language_filter_component_test.py diff --git a/components/language_filter/Dockerfile b/components/language_filter/Dockerfile new file mode 100644 index 000000000..605adc7e9 --- /dev/null +++ b/components/language_filter/Dockerfile @@ -0,0 +1,18 @@ +FROM --platform=linux/amd64 python:3.8-slim + +## System dependencies +RUN apt-get update && \ + apt-get upgrade -y && \ + apt-get install git -y + +# install requirements +COPY requirements.txt / +RUN pip3 install --no-cache-dir -r requirements.txt + +# Set the working directory to the component folder +WORKDIR /component/src + +# Copy over src-files +COPY src/ . + +ENTRYPOINT ["python", "main.py"] \ No newline at end of file diff --git a/components/language_filter/README.md b/components/language_filter/README.md new file mode 100644 index 000000000..ba9bd4636 --- /dev/null +++ b/components/language_filter/README.md @@ -0,0 +1,7 @@ +# Language filter + +## Description +This component is based on the `TransformComponent` and is used to filter a dataframe based on language. +It allows you to remove rows that do not match the provided language, thus providing a way to focus +on specific languages within your data. + diff --git a/components/language_filter/fondant_component.yaml b/components/language_filter/fondant_component.yaml new file mode 100644 index 000000000..82d321fda --- /dev/null +++ b/components/language_filter/fondant_component.yaml @@ -0,0 +1,14 @@ +name: Filter languages +description: A component that filters text based on the language. +image: ghcr.io/ml6team/filter_language:latest + +consumes: + text: + fields: + data: + type: string + +args: + language: + description: A valid language code or identifier (e.g., "en", "fr", "de"). + type: str \ No newline at end of file diff --git a/components/language_filter/requirements.txt b/components/language_filter/requirements.txt new file mode 100644 index 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rS}aLkY&CQU@j&(DOM}FaQtA@cMT`r5IiB|N_#gXx{GW~Y{|^5JY)liS literal 0 HcmV?d00001 diff --git a/components/language_filter/src/main.py b/components/language_filter/src/main.py new file mode 100644 index 000000000..5e52def65 --- /dev/null +++ b/components/language_filter/src/main.py @@ -0,0 +1,72 @@ +"""A component that filters text based on the language.""" +import logging + +import fasttext +import pandas as pd + +from fondant.component import PandasTransformComponent + +logger = logging.getLogger(__name__) + + +class LanguageIdentification: + """A class for language detection using FastText.""" + + def __init__(self, language, model_path: str = "lid.176.ftz"): + """ + Initializes the LanguageDetect class. + + Args: + language (str): language to filter on + model_path (str): The path to the FastText language identification model. + """ + pretrained_lang_model_weight_path = model_path + self.language = language + self.model = fasttext.load_model(pretrained_lang_model_weight_path) + + def predict_lang(self, text: str): + """ + Detects the language of a text sequence. + + Args: + text (str): The text for language detection. + + Returns: + str: The predicted language label. + """ + predictions = self.model.predict(text, k=1) + return predictions[0][0] + + def is_language(self, row): + """Predict if text of a row is written in the defined language.""" + return self.language in self.predict_lang(row["text"]) + + +class LanguageFilterComponent(PandasTransformComponent): + """Component that filter columns based on provided language.""" + + def setup(self, *, language): + """Setup language filter component. + + Args: + language: Only keep text passages which are in the provided language. + """ + self.lang_detector = LanguageIdentification(language) + + + def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame: + """ + Args: + dataframe: Pandas dataframe. + + Returns: + Pandas dataframe + """ + mask = dataframe.apply(self.lang_detector.is_language, axis=1) + + return dataframe[mask] + + +if __name__ == "__main__": + component = LanguageFilterComponent.from_args() + component.run() diff --git a/components/language_filter/tests/language_filter_component_test.py b/components/language_filter/tests/language_filter_component_test.py new file mode 100644 index 000000000..633b3ecee --- /dev/null +++ b/components/language_filter/tests/language_filter_component_test.py @@ -0,0 +1,54 @@ +"""Unit test for language filter component.""" +import pandas as pd + +from components.language_filter.src.main import LanguageFilterComponent +from fondant.component_spec import ComponentSpec + + +def test_run_component_test(): + """Test language filter component.""" + # Given: Dataframe with text in different languages + data = [{"text": "Das hier ist ein Satz in deutscher Sprache"}, + {"text": "This is a sentence in English"}, + {"text": "Dit is een zin in het Nederlands"}] + dataframe = pd.DataFrame(data) + + # When: The language filter component proceed the dataframe + # and filter out all entries which are not written in german + spec = ComponentSpec.from_file("../fondant_component.yaml") + + component = LanguageFilterComponent(spec, input_manifest_path="./dummy_input_manifest.json", + output_manifest_path="./dummy_input_manifest.json", + metadata={}, + user_arguments={"language": "de"}, + ) + component.setup(language="de") + dataframe = component.transform(dataframe=dataframe) + + # Then: dataframe only contains one german row + assert len(dataframe) == 1 + assert dataframe.loc[0]["text"] == "Das hier ist ein Satz in deutscher Sprache" + + +def test_run_component_test_filter_out_all(): + """Test language filter component.""" + # Given: Dataframe with text in different languages + data = [{"text": "Das hier ist ein Satz in deutscher Sprache"}, + {"text": "This is a sentence in English"}, + {"text": "Dit is een zin in het Nederlands"}] + dataframe = pd.DataFrame(data) + + # When: The language filter component proceed the dataframe + # and filter out all entries which are not written in french + spec = ComponentSpec.from_file("../fondant_component.yaml") + + component = LanguageFilterComponent(spec, input_manifest_path="./dummy_input_manifest.json", + output_manifest_path="./dummy_input_manifest.json", + metadata={}, + user_arguments={"language": "fr"}, + ) + component.setup() + dataframe = component.transform(dataframe=dataframe) + + # Then: dataframe should contain no rows anymore + assert len(dataframe) == 0 From 412d409241df2bde819d3eaf2b016689137737ee Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Wed, 5 Jul 2023 22:34:25 +0200 Subject: [PATCH 13/18] Use pip to download distributions from test pypi (#274) --- .github/workflows/release.yaml | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index dcc259510..bf98b7214 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -13,6 +13,11 @@ jobs: steps: - uses: actions/checkout@master + - name: Set up Python 3.9 + uses: actions/setup-python@v1 + with: + python-version: 3.9 + - name: Set up Docker Buildx uses: docker/setup-buildx-action@v2 @@ -34,8 +39,9 @@ jobs: - name: Download distributions from test.PyPI run: | - curl -LO https://test.pypi.org/fondant/fondant-$GITHUB_REF_NAME.tar.gz --output-dir dist --create-dirs - curl -LO https://test.pypi.org/fondant/fondant-$GITHUB_REF_NAME-py3-none-any.whl --output-dir dist --create-dirs + pip install --upgrade pip + pip download fondant==$GITHUB_REF_NAME -d dist --index_url https://test.pypi.org/simple/ --no-deps --only-binary fondant + pip download fondant==$GITHUB_REF_NAME -d dist --index_url https://test.pypi.org/simple/ --no-deps --no-binary fondant - name: Publish distribution 📦 to PyPI if triggered by release uses: pypa/gh-action-pypi-publish@v1.8.6 From 1b3df68b39cc2ed97a4aebca43525ee5ae5497d2 Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Thu, 6 Jul 2023 01:02:32 +0200 Subject: [PATCH 14/18] Fix pip --index-url param (#277) --- .github/workflows/release.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index bf98b7214..a9b6552e8 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -40,8 +40,8 @@ jobs: - name: Download distributions from test.PyPI run: | pip install --upgrade pip - pip download fondant==$GITHUB_REF_NAME -d dist --index_url https://test.pypi.org/simple/ --no-deps --only-binary fondant - pip download fondant==$GITHUB_REF_NAME -d dist --index_url https://test.pypi.org/simple/ --no-deps --no-binary fondant + pip download fondant==$GITHUB_REF_NAME -d dist --index-url https://test.pypi.org/simple/ --no-deps --only-binary fondant + pip download fondant==$GITHUB_REF_NAME -d dist --index-url https://test.pypi.org/simple/ --no-deps --no-binary fondant - name: Publish distribution 📦 to PyPI if triggered by release uses: pypa/gh-action-pypi-publish@v1.8.6 From b9e63972550e5b1f50adb02bfec646d53686dec2 Mon Sep 17 00:00:00 2001 From: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Date: Thu, 6 Jul 2023 09:47:44 +0200 Subject: [PATCH 15/18] [DataComp] Add cluster component (#239) This PR adds a cluster component to the DataComp pipeline. It leverages sklearn's [mini batch k-means](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html). However I'm not sure this scales to billions of images, as for that you need a GPU. So I guess we can also have a separate component that leverages [faiss-gpu](https://github.com/facebookresearch/faiss/wiki/Faiss-on-the-GPU) for those who have the resources. Edit; switched to subsampled k-means. To do: - [ ] I see that when adding a column to a subset, all existing fields currently need to be included in the `fondant_component.yaml` file as they otherwise aren't included anymore. - [ ] Currently I have an "image" subset with an "embedding" column. However other components consider embeddings to be a separate subset. --------- Co-authored-by: Niels Rogge --- examples/pipelines/datacomp/build_images.sh | 3 +- .../cluster_image_embeddings/Dockerfile | 23 ++++++++ .../fondant_component.yaml | 57 +++++++++++++++++++ .../cluster_image_embeddings/requirements.txt | 3 + .../cluster_image_embeddings/src/main.py | 48 ++++++++++++++++ .../load_from_hf_hub/fondant_component.yaml | 8 ++- examples/pipelines/datacomp/pipeline.py | 16 +++++- 7 files changed, 152 insertions(+), 6 deletions(-) create mode 100644 examples/pipelines/datacomp/components/cluster_image_embeddings/Dockerfile create mode 100644 examples/pipelines/datacomp/components/cluster_image_embeddings/fondant_component.yaml create mode 100644 examples/pipelines/datacomp/components/cluster_image_embeddings/requirements.txt create mode 100644 examples/pipelines/datacomp/components/cluster_image_embeddings/src/main.py diff --git a/examples/pipelines/datacomp/build_images.sh b/examples/pipelines/datacomp/build_images.sh index 0eec71398..3d0950687 100644 --- a/examples/pipelines/datacomp/build_images.sh +++ b/examples/pipelines/datacomp/build_images.sh @@ -49,7 +49,8 @@ for dir in $component_dir/*/; do --build-arg GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) \ --build-arg BUILD_TIMESTAMP=$(date '+%F_%H:%M:%S') \ --label org.opencontainers.image.source=https://github.com/${namespace}/${repo} \ - --platform=linux/arm64 \ + --platform=linux/amd64 \ + --no-cache \ . docker push "$full_image_name" fi diff --git a/examples/pipelines/datacomp/components/cluster_image_embeddings/Dockerfile b/examples/pipelines/datacomp/components/cluster_image_embeddings/Dockerfile new file mode 100644 index 000000000..25af02440 --- /dev/null +++ b/examples/pipelines/datacomp/components/cluster_image_embeddings/Dockerfile @@ -0,0 +1,23 @@ +FROM --platform=linux/amd64 python:3.8-slim + +# System dependencies +RUN apt-get update && \ + apt-get upgrade -y && \ + apt-get install git -y + +# Install requirements +COPY requirements.txt / +RUN pip3 install --no-cache-dir -r requirements.txt + +# Install Fondant +# This is split from other requirements to leverage caching +ARG FONDANT_VERSION=main +RUN pip3 install git+https://github.com/ml6team/fondant@${FONDANT_VERSION} + +# Set the working directory to the component folder +WORKDIR /component/src + +# Copy over src-files +COPY src/ . + +ENTRYPOINT ["python", "main.py"] \ No newline at end of file diff --git a/examples/pipelines/datacomp/components/cluster_image_embeddings/fondant_component.yaml b/examples/pipelines/datacomp/components/cluster_image_embeddings/fondant_component.yaml new file mode 100644 index 000000000..7ea5ca294 --- /dev/null +++ b/examples/pipelines/datacomp/components/cluster_image_embeddings/fondant_component.yaml @@ -0,0 +1,57 @@ +name: Cluster embeddings +description: Component that applies k-means clustering on subsampled image embeddings +image: ghcr.io/ml6team/cluster_image_embeddings:latest + +consumes: + image: + fields: + url: + type: string + width: + type: int16 + height: + type: int16 + face_bboxes: + type: array + items: + type: array + items: + type: float32 + sha256: + type: utf8 + embedding: + type: array + items: + type: float32 + +produces: + image: + fields: + url: + type: string + width: + type: int16 + height: + type: int16 + face_bboxes: + type: array + items: + type: array + items: + type: float32 + sha256: + type: utf8 + embedding: + type: array + items: + type: float32 + cluster_label: + type: int16 + +args: + sample_ratio: + description: The ratio of samples to use in clustering (e.g. 0.3). + type: float + num_clusters: + description: Number of clusters. + type: int \ No newline at end of file diff --git a/examples/pipelines/datacomp/components/cluster_image_embeddings/requirements.txt b/examples/pipelines/datacomp/components/cluster_image_embeddings/requirements.txt new file mode 100644 index 000000000..288deaffd --- /dev/null +++ b/examples/pipelines/datacomp/components/cluster_image_embeddings/requirements.txt @@ -0,0 +1,3 @@ +pyarrow>=7.0 +gcsfs==2023.4.0 +scikit-learn==1.2.2 \ No newline at end of file diff --git a/examples/pipelines/datacomp/components/cluster_image_embeddings/src/main.py b/examples/pipelines/datacomp/components/cluster_image_embeddings/src/main.py new file mode 100644 index 000000000..d84320108 --- /dev/null +++ b/examples/pipelines/datacomp/components/cluster_image_embeddings/src/main.py @@ -0,0 +1,48 @@ +"""This component applies k-means clustering on image embeddings. +""" +import logging + +import pandas as pd +import dask.dataframe as dd +import numpy as np +from sklearn.cluster import KMeans + +from fondant.component import DaskTransformComponent + +logger = logging.getLogger(__name__) + + +class ClusterImageEmbeddingsComponent(DaskTransformComponent): + """Component that clusters images based on embeddings.""" + + def transform( + self, dataframe: dd.DataFrame, sample_ratio: float, num_clusters: int + ) -> dd.DataFrame: + """ + Args: + dataframe: Dask dataframe + + Returns: + Dask dataframe + """ + embeddings = dataframe["image_embedding"].sample( + frac=sample_ratio, random_state=1 + ) + embeddings = np.vstack(list(embeddings)) + + kmeans = KMeans(n_clusters=num_clusters, random_state=0, n_init="auto") + kmeans = kmeans.fit(embeddings) + + # call predict per row + # # TODO call per partition? + dataframe["image_cluster_label"] = dataframe["image_embedding"].apply( + lambda example: kmeans.predict(example.reshape(1, -1))[0], + meta=pd.Series(dtype="int"), + ) + + return dataframe + + +if __name__ == "__main__": + component = ClusterImageEmbeddingsComponent.from_args() + component.run() diff --git a/examples/pipelines/datacomp/components/load_from_hf_hub/fondant_component.yaml b/examples/pipelines/datacomp/components/load_from_hf_hub/fondant_component.yaml index 621083dc1..b89a10324 100644 --- a/examples/pipelines/datacomp/components/load_from_hf_hub/fondant_component.yaml +++ b/examples/pipelines/datacomp/components/load_from_hf_hub/fondant_component.yaml @@ -1,6 +1,6 @@ name: Load from hub -description: Component that loads the DataComp dataset from the hub -image: ghcr.io/ml6team/load_from_hf_hub:latest +description: Component that loads a dataset from the hub +image: ghcr.io/ml6team/load_from_hf_hub:dev produces: image: @@ -19,6 +19,10 @@ produces: type: float32 sha256: type: utf8 + embedding: + type: array + items: + type: float32 text: fields: diff --git a/examples/pipelines/datacomp/pipeline.py b/examples/pipelines/datacomp/pipeline.py index 2573f3d4f..b67482ea8 100644 --- a/examples/pipelines/datacomp/pipeline.py +++ b/examples/pipelines/datacomp/pipeline.py @@ -28,6 +28,7 @@ "original_height": "image_height", "face_bboxes": "image_face_bboxes", "sha256": "image_sha256", + "clip_l14_embedding": "image_embedding", "text": "text_data", "clip_b32_similarity_score": "image_text_clip_b32_similarity_score", "clip_l14_similarity_score": "image_text_clip_l14_similarity_score", @@ -37,13 +38,13 @@ name="load_from_hf_hub", component_spec_path="components/load_from_hf_hub/fondant_component.yaml", arguments={ - "dataset_name": "mlfoundations/datacomp_small", + "dataset_name": "nielsr/datacomp-small-with-embeddings", "column_name_mapping": load_component_column_mapping, "n_rows_to_load": 100, }, ) -filter_image_resolution_op = ComponentOp( - "components/filter_image_resolution/fondant_component.yaml", +filter_image_resolution_op = ComponentOp.from_registry( + name="filter_image_resolution", arguments={"min_image_dim": 200, "max_aspect_ratio": 3}, ) filter_complexity_op = ComponentOp( @@ -55,11 +56,20 @@ "min_num_actions": 1, }, ) +cluster_image_embeddings_op = ComponentOp.from_registry( + name="cluster_image_embeddings", + component_spec_path="components/cluster_image_embeddings/fondant_component.yaml", + arguments={ + "sample_ratio": 0.3, + "num_clusters": 3, + }, +) # add ops to pipeline pipeline.add_op(load_from_hub_op) pipeline.add_op(filter_image_resolution_op, dependencies=load_from_hub_op) pipeline.add_op(filter_complexity_op, dependencies=filter_image_resolution_op) +pipeline.add_op(cluster_image_embeddings_op, dependencies=filter_complexity_op) # TODO add more ops # compile From bc5b7ce69c471d4a93f1aefdfb0f86c8f8f16fc0 Mon Sep 17 00:00:00 2001 From: Philippe Moussalli Date: Thu, 6 Jul 2023 09:51:35 +0200 Subject: [PATCH 16/18] Enable building specified components (#265) PR that enables specifying components during the build and tagging process, this makes it easier to build and push specific components during remote development. --- .../build_images.sh | 57 ------------------ examples/pipelines/datacomp/build_images.sh | 58 ------------------- .../finetune_stable_diffusion/build_images.sh | 57 ------------------ examples/pipelines/starcoder/build_images.sh | 56 ------------------ scripts/build_components.sh | 49 ++++++++++++---- 5 files changed, 37 insertions(+), 240 deletions(-) delete mode 100644 examples/pipelines/controlnet-interior-design/build_images.sh delete mode 100644 examples/pipelines/finetune_stable_diffusion/build_images.sh delete mode 100644 examples/pipelines/starcoder/build_images.sh diff --git a/examples/pipelines/controlnet-interior-design/build_images.sh b/examples/pipelines/controlnet-interior-design/build_images.sh deleted file mode 100644 index 0eec71398..000000000 --- a/examples/pipelines/controlnet-interior-design/build_images.sh +++ /dev/null @@ -1,57 +0,0 @@ -#!/bin/bash - -function usage { - echo "Usage: $0 [options]" - echo "Options:" - echo " -c, --component Set the component name. Pass the component folder name to build a certain components or 'all' to build all components in the current directory (required)" - echo " -n, --namespace Set the namespace (default: ml6team)" - echo " -r, --repo Set the repo (default: fondant)" - echo " -t, --tag Set the tag (default: latest)" - echo " -h, --help Display this help message" -} - -# Parse the arguments -while [[ "$#" -gt 0 ]]; do case $1 in - -n|--namespace) namespace="$2"; shift;; - -r|--repo) repo="$2"; shift;; - -t|--tag) tag="$2"; shift;; - -c|--component) component="$2"; shift;; - -h|--help) usage; exit;; - *) echo "Unknown parameter passed: $1"; exit 1;; -esac; shift; done - -# Check for required argument -if [ -z "${component}" ]; then - echo "Error: component parameter is required" - usage - exit 1 -fi - -# Set default values for optional arguments if not passed -[ -n "${namespace-}" ] || namespace="ml6team" -[ -n "${repo-}" ] || repo="fondant" -[ -n "${tag-}" ] || tag="latest" - -# Get the component directory -component_dir=$(pwd)/"components" - -# Loop through all subdirectories -for dir in $component_dir/*/; do - cd "$dir" - BASENAME=${dir%/} - BASENAME=${BASENAME##*/} - # Build all images or one image depending on the passed argument - if [[ "$BASENAME" == "${component}" ]] || [[ "${component}" == "all" ]]; then - full_image_name=ghcr.io/${namespace}/${BASENAME}:${tag} - echo $full_image_name - docker build -t "$full_image_name" \ - --build-arg COMMIT_SHA=$(git rev-parse HEAD) \ - --build-arg GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) \ - --build-arg BUILD_TIMESTAMP=$(date '+%F_%H:%M:%S') \ - --label org.opencontainers.image.source=https://github.com/${namespace}/${repo} \ - --platform=linux/arm64 \ - . - docker push "$full_image_name" - fi - cd "$component_dir" -done \ No newline at end of file diff --git a/examples/pipelines/datacomp/build_images.sh b/examples/pipelines/datacomp/build_images.sh index 3d0950687..e69de29bb 100644 --- a/examples/pipelines/datacomp/build_images.sh +++ b/examples/pipelines/datacomp/build_images.sh @@ -1,58 +0,0 @@ -#!/bin/bash - -function usage { - echo "Usage: $0 [options]" - echo "Options:" - echo " -c, --component Set the component name. Pass the component folder name to build a certain components or 'all' to build all components in the current directory (required)" - echo " -n, --namespace Set the namespace (default: ml6team)" - echo " -r, --repo Set the repo (default: fondant)" - echo " -t, --tag Set the tag (default: latest)" - echo " -h, --help Display this help message" -} - -# Parse the arguments -while [[ "$#" -gt 0 ]]; do case $1 in - -n|--namespace) namespace="$2"; shift;; - -r|--repo) repo="$2"; shift;; - -t|--tag) tag="$2"; shift;; - -c|--component) component="$2"; shift;; - -h|--help) usage; exit;; - *) echo "Unknown parameter passed: $1"; exit 1;; -esac; shift; done - -# Check for required argument -if [ -z "${component}" ]; then - echo "Error: component parameter is required" - usage - exit 1 -fi - -# Set default values for optional arguments if not passed -[ -n "${namespace-}" ] || namespace="ml6team" -[ -n "${repo-}" ] || repo="fondant" -[ -n "${tag-}" ] || tag="latest" - -# Get the component directory -component_dir=$(pwd)/"components" - -# Loop through all subdirectories -for dir in $component_dir/*/; do - cd "$dir" - BASENAME=${dir%/} - BASENAME=${BASENAME##*/} - # Build all images or one image depending on the passed argument - if [[ "$BASENAME" == "${component}" ]] || [[ "${component}" == "all" ]]; then - full_image_name=ghcr.io/${namespace}/${BASENAME}:${tag} - echo $full_image_name - docker build -t "$full_image_name" \ - --build-arg COMMIT_SHA=$(git rev-parse HEAD) \ - --build-arg GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) \ - --build-arg BUILD_TIMESTAMP=$(date '+%F_%H:%M:%S') \ - --label org.opencontainers.image.source=https://github.com/${namespace}/${repo} \ - --platform=linux/amd64 \ - --no-cache \ - . - docker push "$full_image_name" - fi - cd "$component_dir" -done \ No newline at end of file diff --git a/examples/pipelines/finetune_stable_diffusion/build_images.sh b/examples/pipelines/finetune_stable_diffusion/build_images.sh deleted file mode 100644 index 0eec71398..000000000 --- a/examples/pipelines/finetune_stable_diffusion/build_images.sh +++ /dev/null @@ -1,57 +0,0 @@ -#!/bin/bash - -function usage { - echo "Usage: $0 [options]" - echo "Options:" - echo " -c, --component Set the component name. Pass the component folder name to build a certain components or 'all' to build all components in the current directory (required)" - echo " -n, --namespace Set the namespace (default: ml6team)" - echo " -r, --repo Set the repo (default: fondant)" - echo " -t, --tag Set the tag (default: latest)" - echo " -h, --help Display this help message" -} - -# Parse the arguments -while [[ "$#" -gt 0 ]]; do case $1 in - -n|--namespace) namespace="$2"; shift;; - -r|--repo) repo="$2"; shift;; - -t|--tag) tag="$2"; shift;; - -c|--component) component="$2"; shift;; - -h|--help) usage; exit;; - *) echo "Unknown parameter passed: $1"; exit 1;; -esac; shift; done - -# Check for required argument -if [ -z "${component}" ]; then - echo "Error: component parameter is required" - usage - exit 1 -fi - -# Set default values for optional arguments if not passed -[ -n "${namespace-}" ] || namespace="ml6team" -[ -n "${repo-}" ] || repo="fondant" -[ -n "${tag-}" ] || tag="latest" - -# Get the component directory -component_dir=$(pwd)/"components" - -# Loop through all subdirectories -for dir in $component_dir/*/; do - cd "$dir" - BASENAME=${dir%/} - BASENAME=${BASENAME##*/} - # Build all images or one image depending on the passed argument - if [[ "$BASENAME" == "${component}" ]] || [[ "${component}" == "all" ]]; then - full_image_name=ghcr.io/${namespace}/${BASENAME}:${tag} - echo $full_image_name - docker build -t "$full_image_name" \ - --build-arg COMMIT_SHA=$(git rev-parse HEAD) \ - --build-arg GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) \ - --build-arg BUILD_TIMESTAMP=$(date '+%F_%H:%M:%S') \ - --label org.opencontainers.image.source=https://github.com/${namespace}/${repo} \ - --platform=linux/arm64 \ - . - docker push "$full_image_name" - fi - cd "$component_dir" -done \ No newline at end of file diff --git a/examples/pipelines/starcoder/build_images.sh b/examples/pipelines/starcoder/build_images.sh deleted file mode 100644 index db90722e5..000000000 --- a/examples/pipelines/starcoder/build_images.sh +++ /dev/null @@ -1,56 +0,0 @@ -#!/bin/bash - -function usage { - echo "Usage: $0 [options]" - echo "Options:" - echo " -c, --component Set the component name. Pass the component folder name to build a certain components or 'all' to build all components in the current directory (required)" - echo " -n, --namespace Set the namespace (default: ml6team)" - echo " -r, --repo Set the repo (default: fondant)" - echo " -t, --tag Set the tag (default: latest)" - echo " -h, --help Display this help message" -} - -# Parse the arguments -while [[ "$#" -gt 0 ]]; do case $1 in - -n|--namespace) namespace="$2"; shift;; - -r|--repo) repo="$2"; shift;; - -t|--tag) tag="$2"; shift;; - -c|--component) component="$2"; shift;; - -h|--help) usage; exit;; - *) echo "Unknown parameter passed: $1"; exit 1;; -esac; shift; done - -# Check for required argument -if [ -z "${component}" ]; then - echo "Error: component parameter is required" - usage - exit 1 -fi - -# Set default values for optional arguments if not passed -[ -n "${namespace-}" ] || namespace="ml6team" -[ -n "${repo-}" ] || repo="fondant" -[ -n "${tag-}" ] || tag="latest" - -# Get the component directory -component_dir=$(pwd)/"components" - -# Loop through all subdirectories -for dir in $component_dir/*/; do - cd "$dir" - BASENAME=${dir%/} - BASENAME=${BASENAME##*/} - # Build all images or one image depending on the passed argument - if [[ "$BASENAME" == "${component}" ]] || [[ "${component}" == "all" ]]; then - full_image_name=ghcr.io/${namespace}/${BASENAME}:${tag} - echo $full_image_name - docker build -t "$full_image_name" \ - --build-arg COMMIT_SHA=$(git rev-parse HEAD) \ - --build-arg GIT_BRANCH=$(git rev-parse --abbrev-ref HEAD) \ - --build-arg BUILD_TIMESTAMP=$(date '+%F_%H:%M:%S') \ - --label org.opencontainers.image.source=https://github.com/${namespace}/${repo} \ - --platform=linux/arm64 \ - . - docker push "$full_image_name" - fi - cd "$component_dir" \ No newline at end of file diff --git a/scripts/build_components.sh b/scripts/build_components.sh index 19d885b7f..1bdb6c8d0 100755 --- a/scripts/build_components.sh +++ b/scripts/build_components.sh @@ -4,16 +4,28 @@ set -e function usage { echo "Usage: $0 [options]" echo "Options:" - echo " -t, --tag= Tag to add to image, repeatable - The first tag is set in the component specifications" - echo " -h, --help Display this help message" + echo " -t, --tag Tag to add to image, repeatable + The first tag is set in the component specifications" + echo " -c, --cache Use registry caching when building the components (default:false)" + echo " -d, --component-dirs Directory containing components to build as subdirectories. + The path should be relative to the root directory (default:components)" + echo " -n, --namespace The namespace for the built images, should match the github organization (default: ml6team)" + echo " -co, --component Specific component to build. Pass the component subdirectory name(s) to build + certain component(s) or 'all' to build all components in the components + directory (default: all)" + echo " -r, --repo Set the repo (default: fondant)" + echo " -h, --help Display this help message" } # Parse the arguments while [[ "$#" -gt 0 ]]; do case $1 in - -t|--tag) tags+=("$2"); shift;; - -c|--cache) caching=true;; - -h|--help) usage; exit;; + -n |--namespace) namespace="$2"; shift;; + -d |--components-dir ) components_dir="$2"; shift;; + -r |--repo) repo="$2"; shift;; + -t |--tag) tags+=("$2"); shift;; + -co|--component) components+=("$2"); shift;; + -c |--cache) caching=true;; + -h |--help) usage; exit;; *) echo "Unknown parameter passed: $1"; exit 1;; esac; shift; done @@ -24,19 +36,29 @@ if [ -z "${tags}" ]; then exit 1 fi -# Set github repo information -namespace="ml6team" -repo="fondant" +# Set default values for optional arguments if not passed +component="${components:-all}" +components_dir="${components_dir:-components}" +namespace="${namespace:-ml6team}" +repo="${repo:-fondant}" # Get the component directory scripts_dir=$( cd "$(dirname "${BASH_SOURCE[0]}")" ; pwd -P ) root_dir=$(dirname "$scripts_dir") -component_dir=$root_dir/"components" +components_dir=$root_dir/${components_dir} + +# Determine the components to build +if [[ "${component}" == "all" ]]; then + components_to_build=("$components_dir"/*/); +else + for component in "${components[@]}"; do + components_to_build+=("$components_dir/${component}/") + done +fi # Loop through all subdirectories -for dir in "$component_dir"/*/; do +for dir in "${components_to_build[@]}"; do pushd "$dir" - BASENAME=${dir%/} BASENAME=${BASENAME##*/} @@ -47,6 +69,7 @@ for dir in "$component_dir"/*/; do echo "$full_image_name" full_image_names+=("$full_image_name") done + # Prevent this from mistakenly being used below unset full_image_name @@ -63,6 +86,7 @@ for dir in "$component_dir"/*/; do # Add cache arguments if caching is enabled if [ "$caching" = true ] ; then + cache_name=ghcr.io/${namespace}/${BASENAME}:build-cache echo "Caching from/to ${cache_name}" args+=(--cache-to "type=registry,ref=${cache_name}") @@ -76,4 +100,5 @@ for dir in "$component_dir"/*/; do . popd + done From 936480201d51870dbd74e9b30cef21ddabe74532 Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Thu, 6 Jul 2023 11:45:22 +0200 Subject: [PATCH 17/18] Order output columns in PandasTransformComponent (#276) Fixes #275 --- fondant/component.py | 64 +++++++++++++++++++++++------------ tests/test_component.py | 75 +++++++++++++++++++++++++++++++++++++++++ 2 files changed, 118 insertions(+), 21 deletions(-) diff --git a/fondant/component.py b/fondant/component.py index b8fffeaf1..325393db8 100644 --- a/fondant/component.py +++ b/fondant/component.py @@ -264,27 +264,47 @@ def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame: dataframe: A Pandas dataframe containing a partition of the data """ - def wrapped_transform(self, dataframe: pd.DataFrame) -> pd.DataFrame: - """Method wrapping the transform method to switch between hierarchical and flattened - columns. + @staticmethod + def wrap_transform(transform: t.Callable, *, spec: ComponentSpec) -> t.Callable: + """Factory that creates a function to wrap the component transform function. The wrapper: + - Converts the columns to hierarchical format before passing the dataframe to the + transform function + - Removes extra columns from the returned dataframe which are not defined in the component + spec `produces` section + - Sorts the columns from the returned dataframe according to the order in the component + spec `produces` section to match the order in the `meta` argument passed to Dask's + `map_partitions`. + - Flattens the returned dataframe columns. + + Args: + transform: Transform method to wrap + spec: Component specification to base behavior on """ - dataframe.columns = pd.MultiIndex.from_tuples( - tuple(column.split("_")) for column in dataframe.columns - ) - dataframe = self.transform(dataframe) - # Drop columns not in the produces section of the component spec - dataframe = dataframe.drop( - columns=[ - (subset, field) - for (subset, field) in dataframe.columns - if subset not in self.spec.produces - or field not in self.spec.produces[subset].fields - ], - ) - dataframe.columns = [ - "_".join(column) for column in dataframe.columns.to_flat_index() - ] - return dataframe + + def wrapped_transform(dataframe: pd.DataFrame) -> pd.DataFrame: + # Switch to hierarchical columns + dataframe.columns = pd.MultiIndex.from_tuples( + tuple(column.split("_")) for column in dataframe.columns + ) + + # Call transform method + dataframe = transform(dataframe) + + # Drop columns not in specification + columns = [ + (subset_name, field) + for subset_name, subset in spec.produces.items() + for field in subset.fields + ] + dataframe = dataframe[columns] + + # Switch to flattened columns + dataframe.columns = [ + "_".join(column) for column in dataframe.columns.to_flat_index() + ] + return dataframe + + return wrapped_transform def _process_dataset(self, manifest: Manifest) -> dd.DataFrame: """ @@ -309,9 +329,11 @@ def _process_dataset(self, manifest: Manifest) -> dd.DataFrame: ) meta_df = pd.DataFrame(meta_dict).set_index("id") + wrapped_transform = self.wrap_transform(self.transform, spec=self.spec) + # Call the component transform method for each partition dataframe = dataframe.map_partitions( - self.wrapped_transform, + wrapped_transform, meta=meta_df, ) diff --git a/tests/test_component.py b/tests/test_component.py index 3407f040c..fc1f75da3 100644 --- a/tests/test_component.py +++ b/tests/test_component.py @@ -16,6 +16,7 @@ PandasTransformComponent, WriteComponent, ) +from fondant.component_spec import ComponentSpec from fondant.data_io import DaskDataLoader, DaskDataWriter from fondant.manifest import Manifest @@ -215,6 +216,80 @@ def transform(self, dataframe): assert transform.call_count == N_PARTITIONS +def test_wrap_transform(): + """ + Test wrapped transform for: + - Converting between hierarchical and flat columns + - Trimming columns not specified in `produces` + - Ordering columns according to specification (so `map_partitions` does not fail). + """ + spec = ComponentSpec( + { + "name": "Test component", + "description": "Component for testing", + "image": "component:test", + "consumes": { + "image": { + "fields": { + "height": { + "type": "int16", + }, + "width": { + "type": "int16", + }, + }, + }, + "caption": { + "fields": { + "text": { + "type": "string", + }, + }, + }, + }, + "produces": { + "caption": { + "fields": { + "text": { + "type": "string", + }, + }, + }, + "image": { + "fields": { + "height": { + "type": "int16", + }, + }, + }, + }, + }, + ) + + input_df = pd.DataFrame.from_dict( + { + "image_height": [0, 1, 2], + "image_width": [3, 4, 5], + "caption_text": ["one", "two", "three"], + }, + ) + + def transform(dataframe: pd.DataFrame) -> pd.DataFrame: + # Check hierarchical columns + assert dataframe.columns.tolist() == [ + ("image", "height"), + ("image", "width"), + ("caption", "text"), + ] + return dataframe + + wrapped_transform = PandasTransformComponent.wrap_transform(transform, spec=spec) + output_df = wrapped_transform(input_df) + + # Check column flattening, trimming, and ordering + assert output_df.columns.tolist() == ["caption_text", "image_height"] + + @pytest.mark.usefixtures("_patched_data_loading") def test_write_component(): # Mock CLI arguments From c1806869180cecf10311eaaeb1b84831608c6bb3 Mon Sep 17 00:00:00 2001 From: Robbe Sneyders Date: Thu, 6 Jul 2023 14:48:38 +0200 Subject: [PATCH 18/18] Always pull images in local runner (#279) Fixes #259 This PR: - Instructs the local runner to always pull images. This makes sure that moving tags like `dev` or `latest` are up to date before running the pipeline. As far as I can tell from my testing, this doesn't cause a noticeable delay when the image was not updated. - Adds the pipeline name to the docker compose yaml and removes orphan containers. Containers are namespaced by the pipeline name, which defaults to the cwd if not specified. So I set the name explicitly so we don't accidentally remove containers from another pipeline. --- fondant/compiler.py | 6 +++++- fondant/pipeline.py | 11 ++++++++++- fondant/runner.py | 12 +++++++++++- .../example_1/docker-compose.yml | 1 + .../example_2/docker-compose.yml | 1 + tests/test_cli.py | 15 ++++++++++++++- tests/test_pipeline.py | 6 ++++++ tests/test_runner.py | 12 +++++++++++- 8 files changed, 59 insertions(+), 5 deletions(-) diff --git a/fondant/compiler.py b/fondant/compiler.py index 574788644..9c7b622cc 100644 --- a/fondant/compiler.py +++ b/fondant/compiler.py @@ -178,4 +178,8 @@ def _generate_spec(self, pipeline: Pipeline, extra_volumes: list) -> dict: services[safe_component_name][ "image" ] = component_op.component_spec.image - return {"version": "3.8", "services": services} + return { + "name": pipeline.name, + "version": "3.8", + "services": services, + } diff --git a/fondant/pipeline.py b/fondant/pipeline.py index 96d1dd532..b565f89b0 100644 --- a/fondant/pipeline.py +++ b/fondant/pipeline.py @@ -1,6 +1,7 @@ """This module defines classes to represent a Fondant Pipeline.""" import json import logging +import re import typing as t from collections import OrderedDict from pathlib import Path @@ -145,7 +146,7 @@ def __init__( pipeline_description: Optional description of the pipeline. """ self.base_path = base_path - self.name = pipeline_name + self.name = self._validate_pipeline_name(pipeline_name) self.description = pipeline_description self.package_path = f"{pipeline_name}.tgz" self._graph: t.OrderedDict[str, t.Any] = OrderedDict() @@ -218,6 +219,14 @@ def depth_first_traversal(node: str): self._graph = OrderedDict((node, self._graph[node]) for node in sorted_graph) + @staticmethod + def _validate_pipeline_name(pipeline_name: str) -> str: + pattern = r"^[a-z0-9][a-z0-9_-]*$" + if not re.match(pattern, pipeline_name): + msg = f"The pipeline name violates the pattern {pattern}" + raise InvalidPipelineDefinition(msg) + return pipeline_name + def _validate_pipeline_definition(self, run_id: str): """ Validates the pipeline definition by ensuring that the consumed and produced subsets and diff --git a/fondant/runner.py b/fondant/runner.py index 3a8cf3a8f..265beaf74 100644 --- a/fondant/runner.py +++ b/fondant/runner.py @@ -13,6 +13,16 @@ def run(self, *args, **kwargs): class DockerRunner(Runner): def run(cls, input_spec: str, *args, **kwargs): """Run a docker-compose spec.""" - cmd = ["docker", "compose", "-f", input_spec, "up", "--build"] + cmd = [ + "docker", + "compose", + "-f", + input_spec, + "up", + "--build", + "--pull", + "always", + "--remove-orphans", + ] subprocess.call(cmd) # nosec diff --git a/tests/example_pipelines/compiled_pipeline/example_1/docker-compose.yml b/tests/example_pipelines/compiled_pipeline/example_1/docker-compose.yml index e29dd5590..c9bf9b1a5 100644 --- a/tests/example_pipelines/compiled_pipeline/example_1/docker-compose.yml +++ b/tests/example_pipelines/compiled_pipeline/example_1/docker-compose.yml @@ -1,3 +1,4 @@ +name: test_pipeline services: first_component: build: ./tests/example_pipelines/valid_pipeline/example_1 diff --git a/tests/example_pipelines/compiled_pipeline/example_2/docker-compose.yml b/tests/example_pipelines/compiled_pipeline/example_2/docker-compose.yml index c94e28402..c6ce8d047 100644 --- a/tests/example_pipelines/compiled_pipeline/example_2/docker-compose.yml +++ b/tests/example_pipelines/compiled_pipeline/example_2/docker-compose.yml @@ -1,3 +1,4 @@ +name: test_pipeline services: first_component: build: ./tests/example_pipelines/valid_pipeline/example_1 diff --git a/tests/test_cli.py b/tests/test_cli.py index 385a4aaf6..f121bd353 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -68,7 +68,17 @@ def test_run_logic(tmp_path_factory): with patch("subprocess.call") as mock_call: run(args) mock_call.assert_called_once_with( - ["docker", "compose", "-f", "some/path", "up", "--build"], + [ + "docker", + "compose", + "-f", + "some/path", + "up", + "--build", + "--pull", + "always", + "--remove-orphans", + ], ) with patch("subprocess.call") as mock_call, tmp_path_factory.mktemp("temp") as fn: @@ -87,6 +97,9 @@ def test_run_logic(tmp_path_factory): str(fn / "docker-compose.yml"), "up", "--build", + "--pull", + "always", + "--remove-orphans", ], ) args2 = argparse.Namespace(kubeflow=True, local=False, ref="some/path") diff --git a/tests/test_pipeline.py b/tests/test_pipeline.py index 01e7b6541..221616372 100644 --- a/tests/test_pipeline.py +++ b/tests/test_pipeline.py @@ -238,3 +238,9 @@ def test_defining_reusable_component_op_with_custom_spec(): assert load_from_hub_op_default_op.component_spec == load_from_hub_op_default_spec assert load_from_hub_op_default_op.component_spec != load_from_hub_op_custom_spec assert load_from_hub_op_custom_op.component_spec != load_from_hub_op_default_spec + + +def test_pipeline_name(): + Pipeline(pipeline_name="valid-name", base_path="base_path") + with pytest.raises(InvalidPipelineDefinition, match="The pipeline name violates"): + Pipeline(pipeline_name="invalid name", base_path="base_path") diff --git a/tests/test_runner.py b/tests/test_runner.py index c768fc2ba..145c5f16e 100644 --- a/tests/test_runner.py +++ b/tests/test_runner.py @@ -8,5 +8,15 @@ def test_docker_runner(): with patch("subprocess.call") as mock_call: DockerRunner().run("some/path") mock_call.assert_called_once_with( - ["docker", "compose", "-f", "some/path", "up", "--build"], + [ + "docker", + "compose", + "-f", + "some/path", + "up", + "--build", + "--pull", + "always", + "--remove-orphans", + ], )