From cb3a2ebef0b7b2acfc0f51155aa732d1819a682b Mon Sep 17 00:00:00 2001 From: fabiocat93 Date: Mon, 6 May 2024 17:08:46 -0400 Subject: [PATCH] switching to senselab and pydra --- .github/ISSUE_TEMPLATE/bug_report.yaml | 2 +- .github/ISSUE_TEMPLATE/development_task.yaml | 2 +- .github/ISSUE_TEMPLATE/general.yaml | 2 +- .github/ISSUE_TEMPLATE/support_request.yaml | 2 +- CHANGELOG.md | 6 +- CONTRIBUTING.md | 4 +- README.md | 28 +- .../output_dataset/data-00000-of-00001.arrow | Bin 648 -> 0 bytes .../output_dataset/dataset_info.json | 16 - data_for_testing/output_dataset/state.json | 13 - poetry.lock | 2134 +++++++++-------- pyproject.toml | 20 +- scripts/experiment1.py | 66 + src/pipepal/audio/__init__.py | 1 - src/pipepal/audio/tasks/__init__.py | 4 - .../audio/tasks/example_task/__init__.py | 3 - .../tasks/example_task/abstract_service.py | 41 - .../audio/tasks/example_task/interface.py | 117 - .../tasks/example_task/schemas/run/input.json | 25 - .../example_task/schemas/run/output.json | 13 - .../tasks/example_task/services/__init__.py | 3 - .../services/example_service/__init__.py | 3 - .../services/example_service/config.json | 1 - .../services/example_service/service.py | 109 - .../audio/tasks/input_output/__init__.py | 3 - .../tasks/input_output/abstract_service.py | 84 - .../audio/tasks/input_output/interface.py | 131 - .../read_HF_dataset_from_HF_hub/input.json | 7 - .../read_HF_dataset_from_HF_hub/output.json | 7 - .../schemas/read_audios_from_disk/input.json | 36 - .../schemas/read_audios_from_disk/output.json | 7 - .../schemas/read_local_HF_dataset/input.json | 7 - .../schemas/read_local_HF_dataset/output.json | 7 - .../save_HF_dataset_to_disk/input.json | 7 - .../save_HF_dataset_to_disk/output.json | 7 - .../input.json | 7 - .../output.json | 7 - .../tasks/input_output/services/__init__.py | 3 - .../services/datasets/__init__.py | 3 - .../services/datasets/config.json | 1 - .../input_output/services/datasets/service.py | 137 -- src/pipepal/utils/__init__.py | 3 - src/pipepal/utils/abstract_component.py | 116 - src/pipepal/utils/functions.py | 1 - src/pipepal/video/__init__.py | 1 - src/pipepal/video/pipes/.gitkeep | 0 src/pipepal/video/tasks/__init__.py | 4 - .../video/tasks/example_task/__init__.py | 3 - .../tasks/example_task/abstract_service.py | 41 - .../video/tasks/example_task/interface.py | 117 - .../tasks/example_task/schemas/run/input.json | 25 - .../example_task/schemas/run/output.json | 13 - .../tasks/example_task/services/__init__.py | 3 - .../services/example_service/__init__.py | 3 - .../services/example_service/config.json | 1 - .../services/example_service/service.py | 109 - .../video/tasks/input_output/__init__.py | 3 - .../tasks/input_output/abstract_service.py | 39 - .../video/tasks/input_output/interface.py | 59 - .../extract_audios_from_videos/input.json | 53 - .../extract_audios_from_videos/output.json | 14 - .../tasks/input_output/services/__init__.py | 3 - .../input_output/services/ffmpeg/__init__.py | 3 - .../input_output/services/ffmpeg/config.json | 1 - .../input_output/services/ffmpeg/service.py | 170 -- src/{pipepal => senselab}/__init__.py | 0 src/{pipepal => senselab}/app.py | 13 +- src/{pipepal => senselab}/audio-cli/.gitkeep | 0 src/senselab/audio/tasks/speech_to_text.py | 65 + .../audio/tasks/speech_to_text_pydra.py | 6 + src/{pipepal => senselab}/cli.py | 2 +- src/senselab/utils/config.json | 10 + src/senselab/utils/config.py | 16 + src/senselab/utils/decorators.py | 26 + src/senselab/utils/file.py | 40 + src/senselab/utils/functions.py | 17 + src/senselab/utils/hf.py | 33 + src/senselab/utils/tasks/input_output.py | 144 ++ .../utils/tasks/input_output_pydra.py | 10 + .../audio/pipes => senselab/video}/.gitkeep | 0 src/tests/test_app.py | 11 +- .../test_audio_exampletask_exampleservice.py | 75 - src/tests/test_audio_iotask_datasets.py | 205 -- .../test_video_exampletask_exampleservice.py | 75 - src/tests/test_video_iotask_datasets.py | 94 - tutorials/tutorial.ipynb | 230 -- 86 files changed, 1664 insertions(+), 3269 deletions(-) delete mode 100644 data_for_testing/output_dataset/data-00000-of-00001.arrow delete mode 100644 data_for_testing/output_dataset/dataset_info.json delete mode 100644 data_for_testing/output_dataset/state.json create mode 100644 scripts/experiment1.py delete mode 100644 src/pipepal/audio/__init__.py delete mode 100644 src/pipepal/audio/tasks/__init__.py delete mode 100644 src/pipepal/audio/tasks/example_task/__init__.py delete mode 100644 src/pipepal/audio/tasks/example_task/abstract_service.py delete mode 100644 src/pipepal/audio/tasks/example_task/interface.py delete mode 100644 src/pipepal/audio/tasks/example_task/schemas/run/input.json delete mode 100644 src/pipepal/audio/tasks/example_task/schemas/run/output.json delete mode 100644 src/pipepal/audio/tasks/example_task/services/__init__.py delete mode 100644 src/pipepal/audio/tasks/example_task/services/example_service/__init__.py delete mode 100644 src/pipepal/audio/tasks/example_task/services/example_service/config.json delete mode 100644 src/pipepal/audio/tasks/example_task/services/example_service/service.py delete mode 100644 src/pipepal/audio/tasks/input_output/__init__.py delete mode 100644 src/pipepal/audio/tasks/input_output/abstract_service.py delete mode 100644 src/pipepal/audio/tasks/input_output/interface.py delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/input.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/output.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/input.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/output.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/input.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/output.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/input.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/output.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/input.json delete mode 100644 src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/output.json delete mode 100644 src/pipepal/audio/tasks/input_output/services/__init__.py delete mode 100644 src/pipepal/audio/tasks/input_output/services/datasets/__init__.py delete mode 100644 src/pipepal/audio/tasks/input_output/services/datasets/config.json delete mode 100644 src/pipepal/audio/tasks/input_output/services/datasets/service.py delete mode 100644 src/pipepal/utils/__init__.py delete mode 100644 src/pipepal/utils/abstract_component.py delete mode 100644 src/pipepal/utils/functions.py delete mode 100644 src/pipepal/video/__init__.py delete mode 100644 src/pipepal/video/pipes/.gitkeep delete mode 100644 src/pipepal/video/tasks/__init__.py delete mode 100644 src/pipepal/video/tasks/example_task/__init__.py delete mode 100644 src/pipepal/video/tasks/example_task/abstract_service.py delete mode 100644 src/pipepal/video/tasks/example_task/interface.py delete mode 100644 src/pipepal/video/tasks/example_task/schemas/run/input.json delete mode 100644 src/pipepal/video/tasks/example_task/schemas/run/output.json delete mode 100644 src/pipepal/video/tasks/example_task/services/__init__.py delete mode 100644 src/pipepal/video/tasks/example_task/services/example_service/__init__.py delete mode 100644 src/pipepal/video/tasks/example_task/services/example_service/config.json delete mode 100644 src/pipepal/video/tasks/example_task/services/example_service/service.py delete mode 100644 src/pipepal/video/tasks/input_output/__init__.py delete mode 100644 src/pipepal/video/tasks/input_output/abstract_service.py delete mode 100644 src/pipepal/video/tasks/input_output/interface.py delete mode 100644 src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/input.json delete mode 100644 src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/output.json delete mode 100644 src/pipepal/video/tasks/input_output/services/__init__.py delete mode 100644 src/pipepal/video/tasks/input_output/services/ffmpeg/__init__.py delete mode 100644 src/pipepal/video/tasks/input_output/services/ffmpeg/config.json delete mode 100644 src/pipepal/video/tasks/input_output/services/ffmpeg/service.py rename src/{pipepal => senselab}/__init__.py (100%) rename src/{pipepal => senselab}/app.py (50%) rename src/{pipepal => senselab}/audio-cli/.gitkeep (100%) create mode 100644 src/senselab/audio/tasks/speech_to_text.py create mode 100644 src/senselab/audio/tasks/speech_to_text_pydra.py rename src/{pipepal => senselab}/cli.py (81%) create mode 100644 src/senselab/utils/config.json create mode 100644 src/senselab/utils/config.py create mode 100644 src/senselab/utils/decorators.py create mode 100644 src/senselab/utils/file.py create mode 100644 src/senselab/utils/functions.py create mode 100644 src/senselab/utils/hf.py create mode 100644 src/senselab/utils/tasks/input_output.py create mode 100644 src/senselab/utils/tasks/input_output_pydra.py rename src/{pipepal/audio/pipes => senselab/video}/.gitkeep (100%) delete mode 100644 src/tests/test_audio_exampletask_exampleservice.py delete mode 100644 src/tests/test_audio_iotask_datasets.py delete mode 100644 src/tests/test_video_exampletask_exampleservice.py delete mode 100644 src/tests/test_video_iotask_datasets.py delete mode 100644 tutorials/tutorial.ipynb diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml index 8722b696..369381ef 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yaml +++ b/.github/ISSUE_TEMPLATE/bug_report.yaml @@ -3,7 +3,7 @@ description: This is a template for reporting a bug. # If you want to enable automatic linking to projects, # uncomment the following line and replace the project ID # with the ID of your project. -# projects: ["pipepal"] +# projects: ["senselab"] title: 'Bug: ' labels: [bug] body: diff --git a/.github/ISSUE_TEMPLATE/development_task.yaml b/.github/ISSUE_TEMPLATE/development_task.yaml index 5881a3d4..b7518607 100644 --- a/.github/ISSUE_TEMPLATE/development_task.yaml +++ b/.github/ISSUE_TEMPLATE/development_task.yaml @@ -3,7 +3,7 @@ description: This is a template for a development task # If you want to enable automatic linking to projects, # uncomment the following line and replace the project ID # with the ID of your project. -# projects: ["pipepal"] +# projects: ["senselab"] title: 'Task: ' labels: [task] body: diff --git a/.github/ISSUE_TEMPLATE/general.yaml b/.github/ISSUE_TEMPLATE/general.yaml index 2ee53e9c..46b426fb 100644 --- a/.github/ISSUE_TEMPLATE/general.yaml +++ b/.github/ISSUE_TEMPLATE/general.yaml @@ -3,7 +3,7 @@ description: This is a template for reporting a general issue. # If you want to enable automatic linking to projects, # uncomment the following line and replace the project ID # with the ID of your project. -# projects: ["pipepal"] +# projects: ["senselab"] title: '' labels: [other] body: diff --git a/.github/ISSUE_TEMPLATE/support_request.yaml b/.github/ISSUE_TEMPLATE/support_request.yaml index 743fd4b8..18494367 100644 --- a/.github/ISSUE_TEMPLATE/support_request.yaml +++ b/.github/ISSUE_TEMPLATE/support_request.yaml @@ -3,7 +3,7 @@ description: This is a template for submitting a support request. # If you want to enable automatic linking to projects, # uncomment the following line and replace the project ID # with the ID of your project. -# projects: ["pipepal"] +# projects: ["senselab"] title: 'Support: ' labels: [question] body: diff --git a/CHANGELOG.md b/CHANGELOG.md index d69d7323..f88f9528 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,7 +2,7 @@ #### 🐛 Bug Fix -- fixing pdoc hierarchy [#3](https://github.com/sensein/pipepal/pull/3) ([@fabiocat93](https://github.com/fabiocat93)) +- fixing pdoc hierarchy [#3](https://github.com/sensein/senselab/pull/3) ([@fabiocat93](https://github.com/fabiocat93)) #### Authors: 1 @@ -14,7 +14,7 @@ #### 🐛 Bug Fix -- Structuring the architecture with services and interfaces [#2](https://github.com/sensein/pipepal/pull/2) ([@fabiocat93](https://github.com/fabiocat93)) +- Structuring the architecture with services and interfaces [#2](https://github.com/sensein/senselab/pull/2) ([@fabiocat93](https://github.com/fabiocat93)) #### Authors: 1 @@ -26,7 +26,7 @@ #### 🐛 Bug Fix -- This is a simple pull request to test CI [#1](https://github.com/sensein/pipepal/pull/1) ([@fabiocat93](https://github.com/fabiocat93)) +- This is a simple pull request to test CI [#1](https://github.com/sensein/senselab/pull/1) ([@fabiocat93](https://github.com/fabiocat93)) #### ⚠️ Pushed to `main` diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 3cf01f7b..8e485fd5 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,6 +1,6 @@ -# pipepal pull request guidelines +# senselab pull request guidelines -Pull requests are always welcome, and we appreciate any help you give. Note that a code of conduct applies to all spaces managed by the pipepal project, including issues and pull requests. Please see the [Code of Conduct](CODE_OF_CONDUCT.md) for details. +Pull requests are always welcome, and we appreciate any help you give. Note that a code of conduct applies to all spaces managed by the senselab project, including issues and pull requests. Please see the [Code of Conduct](CODE_OF_CONDUCT.md) for details. When submitting a pull request, we ask you to check the following: diff --git a/README.md b/README.md index 5ccb13cc..be9f34eb 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,16 @@ -# The ```pipepal``` repo +# The ```senselab``` repo -[![Build](https://github.com/sensein/pipepal/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/sensein/pipepal/actions/workflows/test.yaml?query=branch%3Amain) -[![codecov](https://codecov.io/gh/sensein/pipepal/branch/main/graph/badge.svg?token=MFU1LM80ET)](https://codecov.io/gh/sensein/pipepal) +[![Build](https://github.com/sensein/senselab/actions/workflows/test.yaml/badge.svg?branch=main)](https://github.com/sensein/senselab/actions/workflows/test.yaml?query=branch%3Amain) +[![codecov](https://codecov.io/gh/sensein/senselab/branch/main/graph/badge.svg?token=MFU1LM80ET)](https://codecov.io/gh/sensein/senselab) [![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) -[![PyPI](https://img.shields.io/pypi/v/pipepal.svg)](https://pypi.org/project/pipepal/) -[![Python Version](https://img.shields.io/pypi/pyversions/pipepal)](https://pypi.org/project/pipepal) -[![License](https://img.shields.io/pypi/l/pipepal)](https://opensource.org/licenses/Apache-2.0) +[![PyPI](https://img.shields.io/pypi/v/senselab.svg)](https://pypi.org/project/senselab/) +[![Python Version](https://img.shields.io/pypi/pyversions/senselab)](https://pypi.org/project/senselab) +[![License](https://img.shields.io/pypi/l/senselab)](https://opensource.org/licenses/Apache-2.0) -[![pages](https://img.shields.io/badge/api-docs-blue)](https://sensein.github.io/pipepal) +[![pages](https://img.shields.io/badge/api-docs-blue)](https://sensein.github.io/senselab) -Welcome to the ```pipepal``` repo! This is a Python package for streamlining the processing and analysis of behavioral data, such as voice and speech patterns, with robust and reproducible methodologies. +Welcome to the ```senselab``` repo! This is a Python package for streamlining the processing and analysis of behavioral data, such as voice and speech patterns, with robust and reproducible methodologies. **Caution:**: this package is still under development and may change rapidly over the next few weeks. @@ -21,7 +21,7 @@ Welcome to the ```pipepal``` repo! This is a Python package for streamlining the - **Reproducibility**: Ensures consistent outputs through the use of fixed seeds and version-controlled processing steps, making your results verifiable and easily comparable. -- **Easy integration**: Designed to fit into existing workflows with minimal configuration, `pipepal` can be used alongside other data analysis tools and frameworks seamlessly. +- **Easy integration**: Designed to fit into existing workflows with minimal configuration, `senselab` can be used alongside other data analysis tools and frameworks seamlessly. - **Extensible**: Open to modifications and contributions, the package can be expanded with custom transformations and pipelines to meet specific research needs. Do you want to contribute? Please, reach out! @@ -29,27 +29,27 @@ Welcome to the ```pipepal``` repo! This is a Python package for streamlining the - **Performance Optimized**: Efficiently processes large datasets with optimized code and algorithms, ensuring quick turnaround times even for complex analyses. -- **Interactive Examples**: Includes Jupyter notebooks that provide practical examples of how `pipepal` can be implemented to derive insights from real-world data sets. +- **Interactive Examples**: Includes Jupyter notebooks that provide practical examples of how `senselab` can be implemented to derive insights from real-world data sets. -Whether you're researching speech disorders, analyzing customer service calls, or studying communication patterns, `pipepal` provides the tools and flexibility needed to extract meaningful conclusions from your data. +Whether you're researching speech disorders, analyzing customer service calls, or studying communication patterns, `senselab` provides the tools and flexibility needed to extract meaningful conclusions from your data. ## Installation Install this package via: ```sh -pip install pipepal +pip install senselab ``` Or get the newest development version via: ```sh -pip install git+https://github.com/sensein/pipepal.git +pip install git+https://github.com/sensein/senselab.git ``` ## Quick start ```Python -from pipepal.app import hello_world +from senselab.app import hello_world hello_world() ``` diff --git a/data_for_testing/output_dataset/data-00000-of-00001.arrow b/data_for_testing/output_dataset/data-00000-of-00001.arrow deleted file mode 100644 index c2ff86f3d8ef8ee6eec7fa3b5f030ca7e16b2d40..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 648 zcma)3u};J=4D~^KSB?txq!VIbIAvns0}vAEL>aNn>4>HjQvw8;MBjW0H}d?4!wADNpWx(J0{re{Ti8yN zb>4`}RVQ*KTdS3E&Zc=%&rR*{L%ZE5AYocv)`d7fW-jj)?ZLl-M$jE*#_eOC`NVTDF21}z<2w>9MwiaK z4JP;@|H22{dwa}1fA(eix6j-GH1t{9YAubl+Pv6Ox0PEWCqZIps9$Jl%&Tmbb|JSX FMqfQuR_6c! diff --git a/data_for_testing/output_dataset/dataset_info.json b/data_for_testing/output_dataset/dataset_info.json deleted file mode 100644 index b63f23ee..00000000 --- a/data_for_testing/output_dataset/dataset_info.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "citation": "", - "description": "", - "features": { - "pokemon": { - "dtype": "string", - "_type": "Value" - }, - "type": { - "dtype": "string", - "_type": "Value" - } - }, - "homepage": "", - "license": "" -} \ No newline at end of file diff --git a/data_for_testing/output_dataset/state.json b/data_for_testing/output_dataset/state.json deleted file mode 100644 index 1844d528..00000000 --- a/data_for_testing/output_dataset/state.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "_data_files": [ - { - "filename": "data-00000-of-00001.arrow" - } - ], - "_fingerprint": "57821607a631abce", - "_format_columns": null, - "_format_kwargs": {}, - "_format_type": null, - "_output_all_columns": false, - "_split": null -} \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 2413e9c1..fdbabd9a 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-content-hash = "86f88ae39d0a14a9241af53ec88b829968dbd059f46ddedd7ce23af8f090718a" +content-hash = "fc10f45c19a1851a51670059a69b2059a33a5c602be8242b203238b50d7f200c" diff --git a/pyproject.toml b/pyproject.toml index 3df7383d..0aa7f43a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,18 +1,20 @@ [tool.poetry] -name = "pipepal" +name = "senselab" version = "0.0.1" -description = "PipePal is a Python package that simplifies building pipelines for speech and voice analysis." +description = "Senselab is a Python package that simplifies building pipelines for speech and voice analysis." authors = [ "Fabio Catania ", + "Satra Ghosh ", ] maintainers = [ "Fabio Catania ", + "Satra Ghosh ", ] license = "Apache-2.0" readme = "README.md" -homepage = "https://github.com/sensein/pipepal" -repository = "https://github.com/sensein/pipepal" -documentation = "https://sensein.github.io/pipepal" +homepage = "https://github.com/sensein/senselab" +repository = "https://github.com/sensein/senselab" +documentation = "https://sensein.github.io/senselab" keywords = ["voice", "speech", "audio"] classifiers = [ "Development Status :: 3 - Alpha", @@ -20,7 +22,7 @@ classifiers = [ "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent" ] -packages = [{include = "pipepal", from = "src"}] +packages = [{include = "senselab", from = "src"}] [tool.poetry.dependencies] python = "^3.10" @@ -35,6 +37,10 @@ librosa = "^0.10.1" soundfile = "^0.12.1" ffmpeg-python = "^0.2.0" ipykernel = "^6.29.4" +pydra = "^0.23" +pydantic = "^2.7.1" +accelerate = "^0.29.3" +huggingface-hub = "^0.23.0" [tool.poetry.group.dev] optional = true @@ -108,7 +114,7 @@ convention = "google" "src/tests/**/*.py" = [] [tool.poetry.scripts] -pipepal-cli = "pipepal.cli:main" +senselab-cli = "senselab.cli:main" [tool.ruff.format] quote-style = "double" diff --git a/scripts/experiment1.py b/scripts/experiment1.py new file mode 100644 index 00000000..b3840da3 --- /dev/null +++ b/scripts/experiment1.py @@ -0,0 +1,66 @@ +"""This script is used to test the audio tasks.""" + +from typing import Any, Dict + +import pydra + +from senselab.audio.tasks.speech_to_text import transcribe_dataset +from senselab.audio.tasks.speech_to_text_pydra import transcribe_dataset_pt +from senselab.utils.decorators import get_response_time +from senselab.utils.tasks.input_output import push_dataset_to_hub, read_files_from_disk +from senselab.utils.tasks.input_output_pydra import push_dataset_to_hub_pt, read_files_from_disk_pt + + +@get_response_time +def workflow(data: Dict[str, Any]) -> None: + """This function reads audio files from disk, and transcribes them using Whisper.""" + print("Starting to read files from disk...") + dataset = read_files_from_disk(data["files"]) + print(f"Dataset loaded with {len(dataset)} records.") + + print("Pushing dataset to the hub...") + push_dataset_to_hub(dataset, remote_repository="fabiocat/test", split="train") + print("Dataset pushed to the hub successfully.") + + print("Transcribing dataset...") + transcript_dataset = transcribe_dataset(dataset, "openai/whisper-tiny") + print("Transcribed dataset.") + + print("Pushing dataset to the hub...") + push_dataset_to_hub(transcript_dataset, remote_repository="fabiocat/transcript") + print("Dataset pushed to the hub successfully.") + +@get_response_time +def pydra_workflow(data: Dict[str, Any]) -> None: + """This function reads audio files from disk, and transcribes them using Whisper.""" + wf0 = pydra.Workflow(name='wf0', input_spec=['x'], x=data['files']) + wf0.add(read_files_from_disk_pt(name='read_files_from_disk_name', files=wf0.lzin.x)) + wf0.add(push_dataset_to_hub_pt(name='push_audio_dataset_to_hub_name', dataset=wf0.read_files_from_disk_name.lzout.out, remote_repository="fabiocat/test", split="train")) + + wf0.add(transcribe_dataset_pt(name='transcribe_dataset_name', dataset=wf0.read_files_from_disk_name.lzout.out, model_id="openai/whisper-tiny")) + wf0.add(push_dataset_to_hub_pt(name='push_transcript_dataset_to_hub_name', dataset=wf0.transcribe_dataset_name.lzout.out, remote_repository="fabiocat/transcript")) + + wf0.set_output([('out', wf0.read_files_from_disk_name.lzout.out)]) + + # PYDRA RUN + with pydra.Submitter(plugin='serial') as sub: + sub(wf0) + + _ = wf0.result() + + +data = {"files": ["/Users/fabiocat/Documents/git/pp/senselab/src/tests/data_for_testing/audio_48khz_mono_16bits.wav"], "type": "audio"} + +workflow(data) +pydra_workflow(data) + + +# TODO: +# CHANGE NAME TO THE PACKAGE +# PUBLISH THE NEW PACKAGE + +# CHECK INPUTS AND OUTPUTS!! +# TODO: SPEECH TO TEXT ON MULTIPLE FILES + +# CHECK BETTER LOGIN WITH HF +# SETUP CACHE WITH HF \ No newline at end of file diff --git a/src/pipepal/audio/__init__.py b/src/pipepal/audio/__init__.py deleted file mode 100644 index 74094bb4..00000000 --- a/src/pipepal/audio/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""This module provides the implementation of pipepal audio.""" diff --git a/src/pipepal/audio/tasks/__init__.py b/src/pipepal/audio/tasks/__init__.py deleted file mode 100644 index a8b20956..00000000 --- a/src/pipepal/audio/tasks/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -"""This module provides the implementation of pipepal tasks for audio.""" - -from .example_task import Interface as ExampleTask # noqa: F401 -from .input_output import Interface as IOTask # noqa: F401 diff --git a/src/pipepal/audio/tasks/example_task/__init__.py b/src/pipepal/audio/tasks/example_task/__init__.py deleted file mode 100644 index 6a6efc25..00000000 --- a/src/pipepal/audio/tasks/example_task/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleTask.""" - -from .interface import Interface # noqa: F401 diff --git a/src/pipepal/audio/tasks/example_task/abstract_service.py b/src/pipepal/audio/tasks/example_task/abstract_service.py deleted file mode 100644 index d8683235..00000000 --- a/src/pipepal/audio/tasks/example_task/abstract_service.py +++ /dev/null @@ -1,41 +0,0 @@ -"""This module defines an abstract service for the task.""" - -from abc import ABC, abstractmethod -from typing import Any, Dict - - -class AbstractService(ABC): - """Abstract base class for services. - - This class provides a template for services with preprocess, process, - and postprocess methods. - """ - def preprocess(self, data: Any) -> Any: # noqa: ANN401 - """Preprocess input data. - - Args: - data: The input data to preprocess. - - Returns: - The preprocessed data. - """ - return data - - @abstractmethod - def process(self, data: Any) -> Dict[str, Any]: # noqa: ANN401 - """Process input data. - - Args: - data: The input data to process. - - Returns: - A dictionary with the processed output. - """ - - def postprocess(self, data: Any) -> Dict[str, Any]: # noqa: ANN401 - """Postprocess the processed data. - - :param data: The data to postprocess. - :return: The postprocessed data. - """ - return data \ No newline at end of file diff --git a/src/pipepal/audio/tasks/example_task/interface.py b/src/pipepal/audio/tasks/example_task/interface.py deleted file mode 100644 index e2be79e4..00000000 --- a/src/pipepal/audio/tasks/example_task/interface.py +++ /dev/null @@ -1,117 +0,0 @@ -"""This module defines an API for managing services related to the example task.""" - -import os -from typing import Any, Dict - -from pipepal.utils.abstract_component import AbstractComponent - -from .services import ExampleService - - -class Interface(AbstractComponent): - """A factory class for creating and managing instances of services related to the example task. - - This class facilitates the retrieval and singleton management of service instances based on - a unique identifier derived from the service data. The main functionality is provided through - the `run` method which processes input through a comprehensive workflow including - preprocessing, processing, and postprocessing phases, using the specified service instance. - - Attributes: - _instances (Dict[str, Any]): A class-level dictionary that caches service instances - to ensure they are singleton per type, indexed by a unique key. - - Examples: - >>> exampleTask = Interface() - >>> example_response = exampleTask.run({ - ... "service": { - ... "service_name": "ExampleService", - ... "model_checkpoint": "model.ckpt", - ... "model_version": "1.0", - ... }, - ... "data": { - ... "hello": "world" - ... } - ... }) - >>> print(example_response) - The output from the ExampleService after processing the input data. - """ - - _instances: Dict[str, Any] = {} # Cache to store unique service instances - - def __init__(self) -> None: - """Initialize the Interface class with the path to the directory where this file is located.""" # noqa: E501 - super().__init__(os.path.dirname(__file__)) - - @classmethod - def get_service(cls, service_data: Dict[str, Any]) -> Any: # noqa: ANN401 - """Retrieves or creates a service instance based on the provided service data. - - This method ensures that each service type, identified by a composite key - (including the service name, model checkpoint, and version), has only one instance. - - Parameters: - service_data (Dict[str, Any]): A dictionary containing the service configuration, - which must include 'service_name', and may include 'model_checkpoint' and 'model_version' - for specific service setups. - - Returns: - Any: An instance of the requested service. - - Raises: - ValueError: If the 'service_name' in service_data is unsupported or not recognized. - - Examples: - >>> service_data = { - ... "service_name": "ExampleService", - ... "model_checkpoint": "model.ckpt", - ... "model_version": "1.0" - ... } - >>> service = Interface.get_service(service_data) - >>> print(service) - Instance of ExampleService configured with model checkpoint 'model.ckpt' and version 1.0 - """ - key: str = f"{service_data.get('service_name')}|{service_data.get('model_checkpoint')}|{service_data.get('model_version')}" # noqa: E501 - - if key not in cls._instances: - if service_data["service_name"] == ExampleService.NAME: - cls._instances[key] = ExampleService(service_data) - else: - raise ValueError(f"Unsupported service: {service_data['service_name']}") - return cls._instances[key] - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def run(self, input_obj: Dict[str, Any]) -> Any: # noqa: ANN401 - """Processes input through a workflow of preprocessing, processing, and postprocessing. - - This method uses a service instance, which is fetched based on the service details provided - in 'input', to run the given data through the service's workflow. This includes preprocessing - the data, processing it according to the service's logic, and then postprocessing results. - - Parameters: - input_obj (Dict[str, Any]): A dictionary containing: - - 'service': A dictionary with the service configuration. - - 'data': The data to be processed by the service. - - Returns: - Any: The output of the service after the workflow has been applied to the input. - - Examples: - >>> input_data = { - ... "service": { - ... "service_name": "ExampleService", - ... "model_checkpoint": "model.ckpt", - ... "model_version": "1.0" - ... }, - ... "data": {"hello": "world"} - ... } - >>> exampleTask = Interface() - >>> output = exampleTask.run(input_data) - >>> print(output) - The processed data. - """ - service = self.get_service(input_obj["service"]) - preprocessing_output = service.preprocess(input_obj["data"]) - processing_output = service.process(preprocessing_output) - postprocessing_output = service.postprocess(processing_output) - return postprocessing_output \ No newline at end of file diff --git a/src/pipepal/audio/tasks/example_task/schemas/run/input.json b/src/pipepal/audio/tasks/example_task/schemas/run/input.json deleted file mode 100644 index 3ecf013d..00000000 --- a/src/pipepal/audio/tasks/example_task/schemas/run/input.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "ServiceConfiguration", - "description": "A JSON Schema for service configuration including additional properties.", - "type": "object", - "properties": { - "service": { - "type": "object", - "properties": { - "service_name": { - "type": "string" - }, - "model_checkpoint": { - "type": "string" - }, - "model_version": { - "type": "string" - } - }, - "required": ["service_name", "model_checkpoint", "model_version"], - "additionalProperties": true - } - }, - "additionalProperties": true -} diff --git a/src/pipepal/audio/tasks/example_task/schemas/run/output.json b/src/pipepal/audio/tasks/example_task/schemas/run/output.json deleted file mode 100644 index 23d695a7..00000000 --- a/src/pipepal/audio/tasks/example_task/schemas/run/output.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "type": "object", - "properties": { - "output": { - "type": "string", - "description": "The output from the ExampleService", - "pattern": "^ExampleService output$" - } - }, - "required": ["output"], - "additionalProperties": true - } diff --git a/src/pipepal/audio/tasks/example_task/services/__init__.py b/src/pipepal/audio/tasks/example_task/services/__init__.py deleted file mode 100644 index 685f392e..00000000 --- a/src/pipepal/audio/tasks/example_task/services/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleTask.""" - -from .example_service import Service as ExampleService # noqa: F401 diff --git a/src/pipepal/audio/tasks/example_task/services/example_service/__init__.py b/src/pipepal/audio/tasks/example_task/services/example_service/__init__.py deleted file mode 100644 index 3b38d481..00000000 --- a/src/pipepal/audio/tasks/example_task/services/example_service/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleService for ExampleTask.""" - -from .service import Service # noqa: F401 diff --git a/src/pipepal/audio/tasks/example_task/services/example_service/config.json b/src/pipepal/audio/tasks/example_task/services/example_service/config.json deleted file mode 100644 index 9e26dfee..00000000 --- a/src/pipepal/audio/tasks/example_task/services/example_service/config.json +++ /dev/null @@ -1 +0,0 @@ -{} \ No newline at end of file diff --git a/src/pipepal/audio/tasks/example_task/services/example_service/service.py b/src/pipepal/audio/tasks/example_task/services/example_service/service.py deleted file mode 100644 index 6627c4dc..00000000 --- a/src/pipepal/audio/tasks/example_task/services/example_service/service.py +++ /dev/null @@ -1,109 +0,0 @@ -"""This module implements an example service class which extends the AbstractService. - -The service is designed to demonstrate a typical implementation setup where -preprocessing, processing, and postprocessing steps are defined to handle data -in a manner specific to the service's requirements. - -Example: - Demonstrate how to use the ExampleService: - - >>> from path.to.this.module import Service - >>> input_obj = { - "data": { - "hello": "world" - }, - "service": { - "service_name": "ExampleService", - "model_checkpoint": "model.ckpt", - "model_version": "1.0", - } - } - >>> service = Service() - >>> preprocessing_output = service.preprocess(input_obj["data"]) - >>> processing_output = service.process(preprocessing_output) - >>> postprocessing_output = service.postprocess(processing_output) - >>> print(postprocessing_output) - {'output': 'ExampleService output'} - -Attributes: - NAME (str): A class attribute which gives the service a name, used internally. -""" - -from typing import Any, Dict - -from ...abstract_service import AbstractService - - -class Service(AbstractService): - """Example service that extends AbstractService to demonstrate custom processing steps. - - This service class exemplifies a basic structure of a service in a system designed - for processing data through computational steps: preprocess, process, and postprocess. - - Attributes: - NAME (str): The public name of the service, intended for identification in registries. - """ - - NAME: str = "ExampleService" - - def __init__(self, configs: Dict[str, Any]) -> None: - """Initialize the service class with the path to the base directory. - - The initialization involves setting up the base directory and potentially other - configurations necessary for the service's operations. - - Args: - configs (Dict[str, Any]): The configs dictionary for the service. - """ - super().__init__() - - def preprocess(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Preprocess the input data to fit the requirements of this service's processing step. - - Args: - data (Dict[str, Any]): The input data to preprocess, expected to be in dictionary format. - - Returns: - Dict[str, Any]: The preprocessed data, adjusted according to the service's needs. This - implementation simply passes the data through without modification. - - Example: - >>> service.preprocess({"hello": "world"}) - {'hello': 'world'} - """ - return data - - def process(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Process the input data to produce a service-specific output. - - This method is the core of the service where the main data manipulation happens. The current - implementation outputs a placeholder dictionary for demonstration purposes. - - Args: - data (Dict[str, Any]): The preprocessed data ready for processing. - - Returns: - Dict[str, Any]: A dictionary containing 'output' key with a string value representing - the result of data processing. - - Example: - >>> service.process({"hello": "preprocessed world"}) - {'output': 'ExampleService output'} - """ - return {"output": "ExampleService output"} - - def postprocess(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Postprocess the processed data to format the output as required by downstream services or storage solutions. - - Args: - data (Dict[str, Any]): The data to postprocess after it has been processed. Typically involves - final adjustments before sending the data to the next step or storing it. - - Returns: - Dict[str, Any]: The postprocessed data, which in this case is the same as the input data. - - Example: - >>> service.postprocess({'output': 'ExampleService output'}) - {'output': 'ExampleService output'} - """ - return data diff --git a/src/pipepal/audio/tasks/input_output/__init__.py b/src/pipepal/audio/tasks/input_output/__init__.py deleted file mode 100644 index 5467c6b9..00000000 --- a/src/pipepal/audio/tasks/input_output/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of IO for videos.""" - -from .interface import Interface # noqa: F401 diff --git a/src/pipepal/audio/tasks/input_output/abstract_service.py b/src/pipepal/audio/tasks/input_output/abstract_service.py deleted file mode 100644 index 3b34377e..00000000 --- a/src/pipepal/audio/tasks/input_output/abstract_service.py +++ /dev/null @@ -1,84 +0,0 @@ -"""This module defines an abstract service for the audio IO task.""" - -from abc import ABC, abstractmethod -from typing import Any, Dict - - -class AbstractService(ABC): - """Abstract base class for audio IO services. - - This class provides a template for services that handle audio input/output operations, - ensuring that all essential methods such as reading audio from disk, saving datasets to disk, - and uploading datasets to the Hugging Face Hub are implemented. - """ - - @abstractmethod - def read_audios_from_disk(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Reads audio files from disk and creates a dataset. - - Args: - data (Dict[str, Any]): A dictionary with a key 'files' which is a list of file paths to audio files. - - Returns: - Dict[str, Any]: A dictionary with a single key 'output', containing the dataset created from the audio files. - - Raises: - ValueError: If the 'files' key is not in the input dictionary. - FileNotFoundError: If any audio files listed in the 'files' key do not exist. - """ - pass - - @abstractmethod - def save_HF_dataset_to_disk(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Saves a Hugging Face `Dataset` object to disk. - - Args: - input_obj (Dict[str, Any]): A dictionary containing: - - 'dataset': A `Dataset` object to save. - - 'output_path': A string representing the path to save the dataset to. - - Returns: - Dict[str, Any]: A dictionary confirming the output status. - """ - pass - - @abstractmethod - def upload_HF_dataset_to_HF_hub(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Uploads a Hugging Face `Dataset` object to the Hugging Face Hub. - - Args: - input_obj (Dict[str, Any]): A dictionary containing: - - 'dataset': A `Dataset` object to upload. - - 'output_uri': A string representing the URI to the remote directory where the dataset will be uploaded. - - Returns: - Dict[str, Any]: A dictionary confirming the upload status. - """ - pass - - - @abstractmethod - def read_local_HF_dataset(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Loads a Hugging Face `Dataset` object from a local directory. - - Args: - input_obj (Dict[str, Any]): A dictionary containing: - - path (str): The file path to the local directory containing the dataset. - - Returns: - Dict[str, Any]: A dictionary with a key 'output', containing the loaded `Dataset` object. - """ - pass - - @abstractmethod - def read_HF_dataset_from_HF_hub(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Loads a Hugging Face `Dataset` object from the Hugging Face Hub. - - Args: - input_obj (Dict[str, Any]): A dictionary containing: - - uri (str): The URI to the dataset on the Hugging Face Hub. - - Returns: - Dict[str, Any]: A dictionary with a key 'output', containing the loaded `Dataset` object. - """ - pass \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/interface.py b/src/pipepal/audio/tasks/input_output/interface.py deleted file mode 100644 index b19c2617..00000000 --- a/src/pipepal/audio/tasks/input_output/interface.py +++ /dev/null @@ -1,131 +0,0 @@ -"""This module defines an API for the task.""" - -import os -from typing import Any, Dict - -from pipepal.utils.abstract_component import AbstractComponent - -from .services import DatasetsService - - -class Interface(AbstractComponent): - """A factory class for creating and managing service instances. - - It ensures a single instance per service type based on a unique key. - """ - - _instances: Dict[str, Any] = {} # Class attribute for shared instance cache - - def __init__(self) -> None: - """Initialize the Interface class with the path to the base directory.""" - super().__init__(os.path.dirname(__file__)) - - @classmethod - def get_service(cls, service_data: Dict[str, Any]) -> Any: # noqa: ANN401 - """Retrieves or creates a service instance based on the provided service data. - - Parameters: - service_data (Dict[str, Any]): Data required to identify or create the service instance. - - Returns: - Any: An instance of the requested service. - - Raises: - ValueError: If the service name is unsupported. - """ - # Use a composite key to uniquely identify instances - key: str = str(cls.get_data_uuid(service_data)) - - if key not in cls._instances: - if service_data["service_name"] == DatasetsService.NAME: - cls._instances[key] = DatasetsService(service_data) - else: - raise ValueError(f"Unsupported service: {service_data['service_name']}") - return cls._instances[key] - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def read_audios_from_disk(self, input: Dict[str, Any]) -> Dict[str, Any]: - """Processes input through a workflow. - - Parameters: - input (Dict[str, Any]): Input data containing service information and data to process. - - Returns: - Any: The postprocessed output from the service. - """ - service = self.get_service(input["service"]) - output = service.read_audios_from_disk(input["data"]) - return output - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def save_HF_dataset_to_disk(self, input: Dict[str, Any]) -> Dict[str, Any]: - """Saves HF dataset to disk. - - Parameters: - input (Dict[str, Any]): Input data containing service information and data to process. - - Returns: - Any: The postprocessed output from the service. - - Todo: - - This method is not audio specific and may be moved out of this class. - """ - service = self.get_service(input["service"]) - output = service.save_HF_dataset_to_disk(input["data"]) - return output - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def upload_HF_dataset_to_HF_hub(self, input: Dict[str, Any]) -> Dict[str, Any]: - """Uploads HF dataset to HF hub. - - Parameters: - input (Dict[str, Any]): Input data containing service information and data to process. - - Returns: - Any: The postprocessed output from the service. - - Todo: - - This method is not audio specific and may be moved out of this class. - """ - service = self.get_service(input["service"]) - output = service.upload_HF_dataset_to_HF_hub(input["data"]) - return output - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def read_local_HF_dataset(self, input: Dict[str, Any]) -> Dict[str, Any]: - """Reads HF dataset from disk. - - Parameters: - input (Dict[str, Any]): Input data containing service information and data to process. - - Returns: - Any: The postprocessed output from the service. - - Todo: - - This method is not audio specific and may be moved out of this class. - """ - service = self.get_service(input["service"]) - output = service.read_local_HF_dataset(input["data"]) - return output - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def read_HF_dataset_from_HF_hub(self, input: Dict[str, Any]) -> Dict[str, Any]: - """Reads HF dataset from HF hub. - - Parameters: - input (Dict[str, Any]): Input data containing service information and data to process. - - Returns: - Any: The postprocessed output from the service. - - Todo: - - This method is not audio specific and may be moved out of this class. - """ - service = self.get_service(input["service"]) - output = service.read_HF_dataset_from_HF_hub(input["data"]) - return output \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/input.json b/src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/input.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/input.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/output.json b/src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/output.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/read_HF_dataset_from_HF_hub/output.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/input.json b/src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/input.json deleted file mode 100644 index d32850c2..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/input.json +++ /dev/null @@ -1,36 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "description": "Schema for validating input JSON structure for audio file processing services.", - "type": "object", - "properties": { - "data": { - "type": "object", - "description": "Contains all data necessary for processing, specifically a list of audio files.", - "properties": { - "files": { - "type": "array", - "description": "An array of file paths, each with a supported audio format.", - "items": { - "type": "string", - "description": "A file path ending with a valid audio format extension.", - "pattern": ".*\\.(wav|mp3|aac|ogg|flac|mka)$" - } - } - }, - "required": ["files"] - }, - "service": { - "type": "object", - "description": "Contains information about the service handling the files.", - "properties": { - "service_name": { - "type": "string", - "description": "The name of the service processing the audio files." - } - }, - "required": ["service_name"] - } - }, - "required": ["data", "service"], - "additionalProperties": false -} diff --git a/src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/output.json b/src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/output.json deleted file mode 100644 index 893b995b..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/read_audios_from_disk/output.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "AcceptEverything", - "description": "A JSON Schema that accepts everything.", - "type": "object", - "additionalProperties": true -} \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/input.json b/src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/input.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/input.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/output.json b/src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/output.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/read_local_HF_dataset/output.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/input.json b/src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/input.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/input.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/output.json b/src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/output.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/save_HF_dataset_to_disk/output.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/input.json b/src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/input.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/input.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/output.json b/src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/output.json deleted file mode 100644 index f5aad854..00000000 --- a/src/pipepal/audio/tasks/input_output/schemas/upload_HF_dataset_to_HF_hub copy 2/output.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "Schema that accepts everything", - "description": "This schema will validate anything you throw at it.", - "type": ["object", "array", "string", "number", "boolean", "null"] - } - \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/services/__init__.py b/src/pipepal/audio/tasks/input_output/services/__init__.py deleted file mode 100644 index 9ece29d8..00000000 --- a/src/pipepal/audio/tasks/input_output/services/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of IO for videos.""" - -from .datasets import Service as DatasetsService # noqa: F401 diff --git a/src/pipepal/audio/tasks/input_output/services/datasets/__init__.py b/src/pipepal/audio/tasks/input_output/services/datasets/__init__.py deleted file mode 100644 index 23619f23..00000000 --- a/src/pipepal/audio/tasks/input_output/services/datasets/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleService for IO task.""" - -from .service import Service # noqa: F401 diff --git a/src/pipepal/audio/tasks/input_output/services/datasets/config.json b/src/pipepal/audio/tasks/input_output/services/datasets/config.json deleted file mode 100644 index 9e26dfee..00000000 --- a/src/pipepal/audio/tasks/input_output/services/datasets/config.json +++ /dev/null @@ -1 +0,0 @@ -{} \ No newline at end of file diff --git a/src/pipepal/audio/tasks/input_output/services/datasets/service.py b/src/pipepal/audio/tasks/input_output/services/datasets/service.py deleted file mode 100644 index 1f5e7d5c..00000000 --- a/src/pipepal/audio/tasks/input_output/services/datasets/service.py +++ /dev/null @@ -1,137 +0,0 @@ -"""This module implements an example service for the task.""" - -import os -from typing import Any, Dict - -from datasets import Audio, Dataset, load_dataset - -from ...abstract_service import AbstractService - - -class Service(AbstractService): - """Datasets service that extends AbstractService.""" - - NAME: str = "Datasets" - - def __init__(self, configs: Dict[str, Any]) -> None: # noqa: ANN401 - """Initialize the service with given configurations. - - Args: - configs: A dictionary of configurations for the service. - """ - super().__init__() - - def read_audios_from_disk(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Reads audio files from disk and creates a Hugging Face `Dataset` object. - - This function checks if all audio files listed under the 'files' key in the input dictionary exist on disk. - If all files are found, it creates a Dataset object where each file is handled as an audio file. The resulting - dataset is then returned inside a dictionary under the key 'output'. - - Parameters: - data (Dict[str, Any]): A dictionary with a key 'files' which is a list of strings. Each string should be - the file path to an audio file. - - Returns: - Dict[str, Any]: A dictionary with a single key 'output', which contains the `Dataset` object. The 'audio' - column of this dataset is of type `datasets.Audio`. - - Raises: - ValueError: If the 'files' key is not in the input dictionary. - FileNotFoundError: If any of the audio files listed in the 'files' key do not exist. - - Example: - >>> data = {"files": ["path/to/audio1.wav", "path/to/audio2.wav"]} - >>> output_dataset = self.read_audios_from_disk(data) - >>> print(type(output_dataset["output"])) - - >>> print(output_dataset["output"].column_names) - ['audio'] - """ - # Check if 'files' key exists in the data dictionary - if "files" not in data: - raise ValueError("Input data must contain 'files' key with a list of audio file paths.") - - # Controlling that the input files exist - missing_files = [file for file in data["files"] if not os.path.exists(file)] - if missing_files: - raise FileNotFoundError(f"The following files were not found: {missing_files}") - - # Creating the Dataset object - audio_dataset = Dataset.from_dict({"audio": data["files"]}) - - # Specifying the column type as Audio - audio_dataset = audio_dataset.cast_column("audio", Audio(mono=False)) - - # Wrapping the Dataset object in a dictionary - return {"output": audio_dataset} - - def save_HF_dataset_to_disk(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Saves a Hugging Face `Dataset` object to disk. - - Parameters: - input_obj (Dict[str, Any]): A dictionary with - - a key 'dataset' which is a `Dataset` object, - - a key 'output_path' which is a string representing the path to the output directory. - - Returns: - None - - Todo: - - Add error handling - - Add output format as an optional parameter - """ - # Use os.makedirs to create the output directory, ignore error if it already exists - os.makedirs(input_obj['output_path'], exist_ok=True) - - # Saving the Dataset object to disk - input_obj["dataset"].save_to_disk(input_obj["output_path"]) - - return { "output": None } - - def upload_HF_dataset_to_HF_hub(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Uploads a Hugging Face `Dataset` object to the Hugging Face Hub. - - Parameters: - input_obj (Dict[str, Any]): A dictionary with - - a key 'dataset' which is a `Dataset` object, - - a key 'output_uri' which is a string representing the URI to the remote directory. - - Returns: - None - - Todo: - - Add error handling - - Add output format as an optional parameter - - Add token handling for private HF repositories - """ - # Uploading the Dataset object to the Hugging Face Hub - input_obj["dataset"].push_to_hub(input_obj["output_uri"]) - - return { "output": None } - - def read_local_HF_dataset(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Loads a Hugging Face `Dataset` object from a local directory. - - Args: - input_obj (Dict[str, Any]): A dictionary containing: - - path (str): The file path to the local directory containing the dataset. - - Returns: - Dict[str, Any]: A dictionary with a key 'output', containing the loaded `Dataset` object. - """ - dataset = Dataset.load_from_disk(input_obj["path"]) - return {"output": dataset} - - def read_HF_dataset_from_HF_hub(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Loads a Hugging Face `Dataset` object from the Hugging Face Hub. - - Args: - input_obj (Dict[str, Any]): A dictionary containing: - - uri (str): The URI to the dataset on the Hugging Face Hub. - - Returns: - Dict[str, Any]: A dictionary with a key 'output', containing the loaded `Dataset` object. - """ - dataset = load_dataset(input_obj["uri"]) - return {"output": dataset} \ No newline at end of file diff --git a/src/pipepal/utils/__init__.py b/src/pipepal/utils/__init__.py deleted file mode 100644 index b20a2b3f..00000000 --- a/src/pipepal/utils/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of pipepal utilities.""" - -from .abstract_component import AbstractComponent # noqa: F401 \ No newline at end of file diff --git a/src/pipepal/utils/abstract_component.py b/src/pipepal/utils/abstract_component.py deleted file mode 100644 index 3be8bf55..00000000 --- a/src/pipepal/utils/abstract_component.py +++ /dev/null @@ -1,116 +0,0 @@ -"""This module defines an abstract base component for schema validation. - -It enforces input and output validation against specified JSON schemas for deriving classes. -Utilities for schema validation, UUID generation based on data, and execution time measurement -for methods are included. The purpose is to provide a structured approach to implementing components -with validated inputs and outputs according to predefined schemas. -""" - -import hashlib -import json -import os -import time -import uuid -from abc import ABC -from datetime import datetime -from functools import wraps -from typing import Any, Callable, Dict, Optional - -from jsonschema import ValidationError, validate - - -class AbstractComponent(ABC): - """Abstract base class for components with JSON schema validation. - - This class provides mechanisms for validating inputs and outputs against specified JSON schemas. - It includes methods for reading schemas, validating data, generating UUIDs from data, and - measuring method execution times. - """ - - def __init__( - self, - base_dir: str, - input_schema_file: str = "schemas/__FUNCTION_NAME_PLACEHOLDER__/input.json", - output_schema_file: str = "schemas/__FUNCTION_NAME_PLACEHOLDER__/output.json", - ) -> None: - """Initializes the component with paths to input and output JSON schemas.""" - self.base_dir = base_dir - self.base_input_schema = input_schema_file - self.base_output_schema = output_schema_file - - @staticmethod - def schema_validator(func: Callable) -> Callable: - """Decorator to validate input and output against schemas.""" - @wraps(func) - def wrapper(self: "AbstractComponent", *args: Any, **kwargs: Any) -> Any: # noqa: ANN401 - input_schema = self.read_json_schema(os.path.join(self.base_dir, self.base_input_schema.replace("__FUNCTION_NAME_PLACEHOLDER__", func.__name__))) - output_schema = self.read_json_schema(os.path.join(self.base_dir, self.base_output_schema.replace("__FUNCTION_NAME_PLACEHOLDER__", func.__name__))) - - # Validate input - input_data = kwargs.get("input_data") or (args[0] if args else {}) - if input_schema is not None: - try: - validate(instance=input_data, schema=input_schema) - except ValidationError as e: - raise ValueError(f"Input validation error: {e}") from e - - # Execute the function - result = func(self, *args, **kwargs) - - # Validate output - if output_schema is not None: - try: - validate(instance=result, schema=output_schema) - except ValidationError as e: - raise ValueError(f"Output validation error: {e}") from e - - result["input"] = input_data - return result - - return wrapper - - @staticmethod - def read_json_schema(file_path: str) -> Optional[Dict[str, Any]]: - """Reads and returns a JSON schema from a file.""" - try: - with open(file_path, "r", encoding="utf-8") as file: - return json.load(file) - except FileNotFoundError: - print(f"File not found: {file_path}") - except PermissionError: - print(f"Permission denied: {file_path}") - except json.JSONDecodeError: - print(f"Invalid JSON format in file: {file_path}") - except Exception as e: # pylint: disable=broad-except - # Catch-all for any other unexpected exceptions, to be used sparingly - print(f"An unexpected error occurred while reading {file_path}: {e}") - return None - - @staticmethod - def get_data_uuid(data: Dict[str, Any]) -> uuid.UUID: - """Generates a UUID for a given data based on its SHA-256 hash.""" - data_str = json.dumps(data, sort_keys=True) - hash_obj = hashlib.sha256(data_str.encode()) - hash_bytes = hash_obj.digest()[:16] - return uuid.UUID(bytes=hash_bytes) - - @staticmethod - def get_response_time(func: Callable) -> Callable: - """Decorator to measure and append response time information to a method's result.""" - - @wraps(func) - def wrapper(*args: Any, **kwargs: Any) -> Any: # noqa: ANN401 - start_time = time.time() - result = func(*args, **kwargs) - end_time = time.time() - duration = end_time - start_time - - start_str = datetime.fromtimestamp(start_time).strftime("%Y-%m-%d %H:%M:%S.%f") - end_str = datetime.fromtimestamp(end_time).strftime("%Y-%m-%d %H:%M:%S.%f") - - if isinstance(result, dict): # Ensure result is a dict before adding time data. - result["time"] = {"start": start_str, "end": end_str, "duration": f"{duration:.6f}s"} - - return result - - return wrapper diff --git a/src/pipepal/utils/functions.py b/src/pipepal/utils/functions.py deleted file mode 100644 index 5b6d55cd..00000000 --- a/src/pipepal/utils/functions.py +++ /dev/null @@ -1 +0,0 @@ -"""This module is for utility functions.""" \ No newline at end of file diff --git a/src/pipepal/video/__init__.py b/src/pipepal/video/__init__.py deleted file mode 100644 index 43542b7d..00000000 --- a/src/pipepal/video/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""This module provides the implementation of pipepal video.""" diff --git a/src/pipepal/video/pipes/.gitkeep b/src/pipepal/video/pipes/.gitkeep deleted file mode 100644 index e69de29b..00000000 diff --git a/src/pipepal/video/tasks/__init__.py b/src/pipepal/video/tasks/__init__.py deleted file mode 100644 index a8b20956..00000000 --- a/src/pipepal/video/tasks/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -"""This module provides the implementation of pipepal tasks for audio.""" - -from .example_task import Interface as ExampleTask # noqa: F401 -from .input_output import Interface as IOTask # noqa: F401 diff --git a/src/pipepal/video/tasks/example_task/__init__.py b/src/pipepal/video/tasks/example_task/__init__.py deleted file mode 100644 index 6a6efc25..00000000 --- a/src/pipepal/video/tasks/example_task/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleTask.""" - -from .interface import Interface # noqa: F401 diff --git a/src/pipepal/video/tasks/example_task/abstract_service.py b/src/pipepal/video/tasks/example_task/abstract_service.py deleted file mode 100644 index d8683235..00000000 --- a/src/pipepal/video/tasks/example_task/abstract_service.py +++ /dev/null @@ -1,41 +0,0 @@ -"""This module defines an abstract service for the task.""" - -from abc import ABC, abstractmethod -from typing import Any, Dict - - -class AbstractService(ABC): - """Abstract base class for services. - - This class provides a template for services with preprocess, process, - and postprocess methods. - """ - def preprocess(self, data: Any) -> Any: # noqa: ANN401 - """Preprocess input data. - - Args: - data: The input data to preprocess. - - Returns: - The preprocessed data. - """ - return data - - @abstractmethod - def process(self, data: Any) -> Dict[str, Any]: # noqa: ANN401 - """Process input data. - - Args: - data: The input data to process. - - Returns: - A dictionary with the processed output. - """ - - def postprocess(self, data: Any) -> Dict[str, Any]: # noqa: ANN401 - """Postprocess the processed data. - - :param data: The data to postprocess. - :return: The postprocessed data. - """ - return data \ No newline at end of file diff --git a/src/pipepal/video/tasks/example_task/interface.py b/src/pipepal/video/tasks/example_task/interface.py deleted file mode 100644 index e2be79e4..00000000 --- a/src/pipepal/video/tasks/example_task/interface.py +++ /dev/null @@ -1,117 +0,0 @@ -"""This module defines an API for managing services related to the example task.""" - -import os -from typing import Any, Dict - -from pipepal.utils.abstract_component import AbstractComponent - -from .services import ExampleService - - -class Interface(AbstractComponent): - """A factory class for creating and managing instances of services related to the example task. - - This class facilitates the retrieval and singleton management of service instances based on - a unique identifier derived from the service data. The main functionality is provided through - the `run` method which processes input through a comprehensive workflow including - preprocessing, processing, and postprocessing phases, using the specified service instance. - - Attributes: - _instances (Dict[str, Any]): A class-level dictionary that caches service instances - to ensure they are singleton per type, indexed by a unique key. - - Examples: - >>> exampleTask = Interface() - >>> example_response = exampleTask.run({ - ... "service": { - ... "service_name": "ExampleService", - ... "model_checkpoint": "model.ckpt", - ... "model_version": "1.0", - ... }, - ... "data": { - ... "hello": "world" - ... } - ... }) - >>> print(example_response) - The output from the ExampleService after processing the input data. - """ - - _instances: Dict[str, Any] = {} # Cache to store unique service instances - - def __init__(self) -> None: - """Initialize the Interface class with the path to the directory where this file is located.""" # noqa: E501 - super().__init__(os.path.dirname(__file__)) - - @classmethod - def get_service(cls, service_data: Dict[str, Any]) -> Any: # noqa: ANN401 - """Retrieves or creates a service instance based on the provided service data. - - This method ensures that each service type, identified by a composite key - (including the service name, model checkpoint, and version), has only one instance. - - Parameters: - service_data (Dict[str, Any]): A dictionary containing the service configuration, - which must include 'service_name', and may include 'model_checkpoint' and 'model_version' - for specific service setups. - - Returns: - Any: An instance of the requested service. - - Raises: - ValueError: If the 'service_name' in service_data is unsupported or not recognized. - - Examples: - >>> service_data = { - ... "service_name": "ExampleService", - ... "model_checkpoint": "model.ckpt", - ... "model_version": "1.0" - ... } - >>> service = Interface.get_service(service_data) - >>> print(service) - Instance of ExampleService configured with model checkpoint 'model.ckpt' and version 1.0 - """ - key: str = f"{service_data.get('service_name')}|{service_data.get('model_checkpoint')}|{service_data.get('model_version')}" # noqa: E501 - - if key not in cls._instances: - if service_data["service_name"] == ExampleService.NAME: - cls._instances[key] = ExampleService(service_data) - else: - raise ValueError(f"Unsupported service: {service_data['service_name']}") - return cls._instances[key] - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def run(self, input_obj: Dict[str, Any]) -> Any: # noqa: ANN401 - """Processes input through a workflow of preprocessing, processing, and postprocessing. - - This method uses a service instance, which is fetched based on the service details provided - in 'input', to run the given data through the service's workflow. This includes preprocessing - the data, processing it according to the service's logic, and then postprocessing results. - - Parameters: - input_obj (Dict[str, Any]): A dictionary containing: - - 'service': A dictionary with the service configuration. - - 'data': The data to be processed by the service. - - Returns: - Any: The output of the service after the workflow has been applied to the input. - - Examples: - >>> input_data = { - ... "service": { - ... "service_name": "ExampleService", - ... "model_checkpoint": "model.ckpt", - ... "model_version": "1.0" - ... }, - ... "data": {"hello": "world"} - ... } - >>> exampleTask = Interface() - >>> output = exampleTask.run(input_data) - >>> print(output) - The processed data. - """ - service = self.get_service(input_obj["service"]) - preprocessing_output = service.preprocess(input_obj["data"]) - processing_output = service.process(preprocessing_output) - postprocessing_output = service.postprocess(processing_output) - return postprocessing_output \ No newline at end of file diff --git a/src/pipepal/video/tasks/example_task/schemas/run/input.json b/src/pipepal/video/tasks/example_task/schemas/run/input.json deleted file mode 100644 index 3ecf013d..00000000 --- a/src/pipepal/video/tasks/example_task/schemas/run/input.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "ServiceConfiguration", - "description": "A JSON Schema for service configuration including additional properties.", - "type": "object", - "properties": { - "service": { - "type": "object", - "properties": { - "service_name": { - "type": "string" - }, - "model_checkpoint": { - "type": "string" - }, - "model_version": { - "type": "string" - } - }, - "required": ["service_name", "model_checkpoint", "model_version"], - "additionalProperties": true - } - }, - "additionalProperties": true -} diff --git a/src/pipepal/video/tasks/example_task/schemas/run/output.json b/src/pipepal/video/tasks/example_task/schemas/run/output.json deleted file mode 100644 index 23d695a7..00000000 --- a/src/pipepal/video/tasks/example_task/schemas/run/output.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "type": "object", - "properties": { - "output": { - "type": "string", - "description": "The output from the ExampleService", - "pattern": "^ExampleService output$" - } - }, - "required": ["output"], - "additionalProperties": true - } diff --git a/src/pipepal/video/tasks/example_task/services/__init__.py b/src/pipepal/video/tasks/example_task/services/__init__.py deleted file mode 100644 index ee1761ef..00000000 --- a/src/pipepal/video/tasks/example_task/services/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleTask.""" - -from .example_service import Service as ExampleService # noqa: F401 \ No newline at end of file diff --git a/src/pipepal/video/tasks/example_task/services/example_service/__init__.py b/src/pipepal/video/tasks/example_task/services/example_service/__init__.py deleted file mode 100644 index 3b38d481..00000000 --- a/src/pipepal/video/tasks/example_task/services/example_service/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ExampleService for ExampleTask.""" - -from .service import Service # noqa: F401 diff --git a/src/pipepal/video/tasks/example_task/services/example_service/config.json b/src/pipepal/video/tasks/example_task/services/example_service/config.json deleted file mode 100644 index 9e26dfee..00000000 --- a/src/pipepal/video/tasks/example_task/services/example_service/config.json +++ /dev/null @@ -1 +0,0 @@ -{} \ No newline at end of file diff --git a/src/pipepal/video/tasks/example_task/services/example_service/service.py b/src/pipepal/video/tasks/example_task/services/example_service/service.py deleted file mode 100644 index 6627c4dc..00000000 --- a/src/pipepal/video/tasks/example_task/services/example_service/service.py +++ /dev/null @@ -1,109 +0,0 @@ -"""This module implements an example service class which extends the AbstractService. - -The service is designed to demonstrate a typical implementation setup where -preprocessing, processing, and postprocessing steps are defined to handle data -in a manner specific to the service's requirements. - -Example: - Demonstrate how to use the ExampleService: - - >>> from path.to.this.module import Service - >>> input_obj = { - "data": { - "hello": "world" - }, - "service": { - "service_name": "ExampleService", - "model_checkpoint": "model.ckpt", - "model_version": "1.0", - } - } - >>> service = Service() - >>> preprocessing_output = service.preprocess(input_obj["data"]) - >>> processing_output = service.process(preprocessing_output) - >>> postprocessing_output = service.postprocess(processing_output) - >>> print(postprocessing_output) - {'output': 'ExampleService output'} - -Attributes: - NAME (str): A class attribute which gives the service a name, used internally. -""" - -from typing import Any, Dict - -from ...abstract_service import AbstractService - - -class Service(AbstractService): - """Example service that extends AbstractService to demonstrate custom processing steps. - - This service class exemplifies a basic structure of a service in a system designed - for processing data through computational steps: preprocess, process, and postprocess. - - Attributes: - NAME (str): The public name of the service, intended for identification in registries. - """ - - NAME: str = "ExampleService" - - def __init__(self, configs: Dict[str, Any]) -> None: - """Initialize the service class with the path to the base directory. - - The initialization involves setting up the base directory and potentially other - configurations necessary for the service's operations. - - Args: - configs (Dict[str, Any]): The configs dictionary for the service. - """ - super().__init__() - - def preprocess(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Preprocess the input data to fit the requirements of this service's processing step. - - Args: - data (Dict[str, Any]): The input data to preprocess, expected to be in dictionary format. - - Returns: - Dict[str, Any]: The preprocessed data, adjusted according to the service's needs. This - implementation simply passes the data through without modification. - - Example: - >>> service.preprocess({"hello": "world"}) - {'hello': 'world'} - """ - return data - - def process(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Process the input data to produce a service-specific output. - - This method is the core of the service where the main data manipulation happens. The current - implementation outputs a placeholder dictionary for demonstration purposes. - - Args: - data (Dict[str, Any]): The preprocessed data ready for processing. - - Returns: - Dict[str, Any]: A dictionary containing 'output' key with a string value representing - the result of data processing. - - Example: - >>> service.process({"hello": "preprocessed world"}) - {'output': 'ExampleService output'} - """ - return {"output": "ExampleService output"} - - def postprocess(self, data: Dict[str, Any]) -> Dict[str, Any]: - """Postprocess the processed data to format the output as required by downstream services or storage solutions. - - Args: - data (Dict[str, Any]): The data to postprocess after it has been processed. Typically involves - final adjustments before sending the data to the next step or storing it. - - Returns: - Dict[str, Any]: The postprocessed data, which in this case is the same as the input data. - - Example: - >>> service.postprocess({'output': 'ExampleService output'}) - {'output': 'ExampleService output'} - """ - return data diff --git a/src/pipepal/video/tasks/input_output/__init__.py b/src/pipepal/video/tasks/input_output/__init__.py deleted file mode 100644 index 77b31105..00000000 --- a/src/pipepal/video/tasks/input_output/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of IO for videos.""" - -from .interface import Interface # noqa: F401 \ No newline at end of file diff --git a/src/pipepal/video/tasks/input_output/abstract_service.py b/src/pipepal/video/tasks/input_output/abstract_service.py deleted file mode 100644 index d6c3e2f8..00000000 --- a/src/pipepal/video/tasks/input_output/abstract_service.py +++ /dev/null @@ -1,39 +0,0 @@ -"""This module defines an abstract service for the video IO task.""" - -from abc import ABC, abstractmethod -from typing import Any, Dict - - -class AbstractService(ABC): - """Abstract base class for video I/O services. - - This class serves as a template for defining services that handle - the input/output operations related to video files, specifically - focusing on extracting audio components from video data. - - Methods defined here outline the expected interface for such services, - including the extraction of audio from video. Implementations should - provide specific logic to handle various video formats and ensure the - integrity and quality of the extracted audio. - - """ - - @abstractmethod - def extract_audios_from_videos(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Extracts the audio track from the video data provided in the input object. - - This method should be implemented by subclasses to extract audio data from - a video file encapsulated within `input_obj`. The specifics of `input_obj` - (such as format and contents) should be clearly defined in subclass implementations. - - Parameters: - input_obj (Dict[str, Any]): A dictionary containing the list of video files - and metadata necessary for the extraction process. The expected format - of this dictionary needs to be defined by the concrete subclass. - - Returns: - Dict[str, Any]: A dictionary containing the list of extracted audio data and - potentially additional metadata pertaining to the audio track. - - """ - pass # implementation of this method is required by subclasses diff --git a/src/pipepal/video/tasks/input_output/interface.py b/src/pipepal/video/tasks/input_output/interface.py deleted file mode 100644 index 7a37a096..00000000 --- a/src/pipepal/video/tasks/input_output/interface.py +++ /dev/null @@ -1,59 +0,0 @@ -"""This module defines an API for the task.""" - -import os -from typing import Any, Dict - -from pipepal.utils.abstract_component import AbstractComponent - -from .services import FfmpegService - - -class Interface(AbstractComponent): - """A factory class for creating and managing service instances. - - It ensures a single instance per service type based on a unique key. - """ - - _instances: Dict[str, Any] = {} # Class attribute for shared instance cache - - def __init__(self) -> None: - """Initialize the Interface class with the path to the base directory.""" - super().__init__(os.path.dirname(__file__)) - - @classmethod - def get_service(cls, service_data: Dict[str, Any]) -> Any: # noqa: ANN401 - """Retrieves or creates a service instance based on the provided service data. - - Parameters: - service_data (Dict[str, Any]): Data required to identify or create the service instance. - - Returns: - Any: An instance of the requested service. - - Raises: - ValueError: If the service name is unsupported. - """ - # Use a composite key to uniquely identify instances - key: str = str(cls.get_data_uuid(service_data)) - - if key not in cls._instances: - if service_data["service_name"] == FfmpegService.NAME: - cls._instances[key] = FfmpegService(service_data) - else: - raise ValueError(f"Unsupported service: {service_data['service_name']}") - return cls._instances[key] - - @AbstractComponent.get_response_time - @AbstractComponent.schema_validator - def extract_audios_from_videos(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Extracts audios from videos using the specified service and input data. - - Args: - input_obj (Dict[str, Any]): The input object containing the service and data. - - Returns: - Dict[str, Any]: The output from the service after extracting audios from videos. - """ - service = self.get_service(input_obj["service"]) - output = service.extract_audios_from_videos(input_obj["data"]) - return output \ No newline at end of file diff --git a/src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/input.json b/src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/input.json deleted file mode 100644 index a3fdcc55..00000000 --- a/src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/input.json +++ /dev/null @@ -1,53 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "title": "AudioExtractionServiceConfiguration", - "description": "A JSON Schema for configuring a service to extract audio from video files.", - "type": "object", - "properties": { - "data": { - "type": "object", - "properties": { - "files": { - "type": "array", - "items": { - "type": "string", - "pattern": ".*\\.(mp4|mov|wmv|webm|mkv|m4v|flv|avi)$" - }, - "description": "List of paths to video files with extensions .mp4, .mov, .wmv, .webm, .mkv, .m4v, .flv, or .avi. [TODO] In the future we may want to guarantee support more extensions." - }, - "audio_format": { - "type": "string", - "enum": ["wav", "mp3", "aac", "ogg", "flac", "mka"], - "description": "The format of the extracted audio file" - }, - "audio_codec": { - "type": "string", - "enum": ["pcm_s16le", "libmp3lame", "aac", "libvorbis", "flac", "copy"], - "description": "The codec used to encode the extracted audio" - }, - "output_folder": { - "type": "string", - "pattern": "^(\\/|\\w:\\\\|\\.\\.\\/|\\.\\/).+", - "description": "The output folder where the extracted audio files will be saved" - } - }, - "required": ["files", "audio_format", "audio_codec", "output_folder"], - "additionalProperties": false - }, - "service": { - "type": "object", - "properties": { - "service_name": { - "type": "string", - "default": "ffmpeg", - "description": "The name of the service used for extracting audio" - } - }, - "required": ["service_name"], - "additionalProperties": false - } - }, - "required": ["data", "service"], - "additionalProperties": false - } - \ No newline at end of file diff --git a/src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/output.json b/src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/output.json deleted file mode 100644 index fe283998..00000000 --- a/src/pipepal/video/tasks/input_output/schemas/extract_audios_from_videos/output.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "$schema": "http://json-schema.org/draft-07/schema#", - "type": "object", - "properties": { - "output": { - "type": "array", - "items": { - "type": "string" - } - } - }, - "required": ["output"], - "additionalProperties": false -} diff --git a/src/pipepal/video/tasks/input_output/services/__init__.py b/src/pipepal/video/tasks/input_output/services/__init__.py deleted file mode 100644 index f2138625..00000000 --- a/src/pipepal/video/tasks/input_output/services/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of IO for videos.""" - -from .ffmpeg import Service as FfmpegService # noqa: F401 \ No newline at end of file diff --git a/src/pipepal/video/tasks/input_output/services/ffmpeg/__init__.py b/src/pipepal/video/tasks/input_output/services/ffmpeg/__init__.py deleted file mode 100644 index dc747f03..00000000 --- a/src/pipepal/video/tasks/input_output/services/ffmpeg/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -"""This module provides the implementation of ffmpeg for IO task.""" - -from .service import Service # noqa: F401 \ No newline at end of file diff --git a/src/pipepal/video/tasks/input_output/services/ffmpeg/config.json b/src/pipepal/video/tasks/input_output/services/ffmpeg/config.json deleted file mode 100644 index 9e26dfee..00000000 --- a/src/pipepal/video/tasks/input_output/services/ffmpeg/config.json +++ /dev/null @@ -1 +0,0 @@ -{} \ No newline at end of file diff --git a/src/pipepal/video/tasks/input_output/services/ffmpeg/service.py b/src/pipepal/video/tasks/input_output/services/ffmpeg/service.py deleted file mode 100644 index 046142b5..00000000 --- a/src/pipepal/video/tasks/input_output/services/ffmpeg/service.py +++ /dev/null @@ -1,170 +0,0 @@ -"""This module implements an example service for the task.""" - -import os -from typing import Any, Dict, List - -import ffmpeg - -from ...abstract_service import AbstractService - - -class Service(AbstractService): - """Example service that extends AbstractService.""" - - NAME: str = "ffmpeg" - - def __init__(self, configs: Dict[str, Any]) -> None: # noqa: ANN401 - """Initialize the service with given configurations. - - Args: - configs: A dictionary of configurations for the service. - """ - super().__init__() - - def extract_audios_from_videos(self, input_obj: Dict[str, Any]) -> Dict[str, Any]: - """Extracts audio files from the video files provided in the input dictionary. - - This function processes a list of video files, extracting the audio from each file and saving it - in a specified format and directory. Each audio file's name is derived from its corresponding - video file, preserving the original hierarchy in the output directory. - - Parameters: - input_obj (Dict[str, Any]): A dictionary containing the necessary inputs with the following keys: - - 'files' (List[str]): A list of paths to the video files. - - 'output_folder' (str): The directory where the extracted audio files will be saved. - - 'audio_format' (str): The file extension for the output audio files (e.g., '.mp3', '.wav'). - - 'audio_codec' (str): The codec to use for encoding the audio files (e.g., 'mp3', 'aac'). - - Returns: - Dict[str, Any]: A dictionary containing one key: - - 'audio_files' (List[str]): A list of paths to the extracted audio files. - - Example: - >>> input_obj = { - 'files': ['/path/to/video1.mp4', '/path/to/video2.avi'], - 'output_folder': '/path/to/output', - 'audio_format': '.wav', - 'audio_codec': 'pcm_s16le' - } - >>> output = extract_audios_from_videos(input_obj) - >>> output['audio_files'] - ['/path/to/output/video1.wav', '/path/to/output/video2.wav'] - - Note: - The function assumes that all video files reside under a common root directory. - - Todo: - - Optimize the code for efficiency. - """ - audio_files = [] - - # Use os.makedirs to create the directory, ignore error if it already exists - os.makedirs(input_obj['output_folder'], exist_ok=True) - - # Get the common root directory for all files - common_path = get_common_directory(input_obj['files']) - - # Extract audio from each video - for file_path in input_obj['files']: - base_file_name = os.path.splitext(file_path.replace(common_path, ''))[0] - output_audio_path = os.path.join(input_obj['output_folder'], base_file_name) + f".{input_obj['audio_format']}" - extract_audio_from_video(video_path=file_path, - output_audio_path=output_audio_path, - format=input_obj['audio_format'], - acodec=input_obj['audio_codec']) - audio_files.append(output_audio_path) - - return { - 'output': audio_files - } - - -def get_common_directory(files: List[str]) -> str: - """A function to get the common directory from a list of file paths. - - Parameters: - - files: a list of file paths - - Returns: - - the common directory among the file paths - """ - if len(files) == 1: - # Ensure the single path's directory ends with a separator - common_path = os.path.dirname(files[0]) - else: - # Use commonpath to find the common directory for multiple files - common_path = os.path.commonpath(files) - - # Check if the path ends with the os separator, add if not - if not common_path.endswith(os.sep): - common_path += os.sep - - return common_path - -def extract_audio_from_video(video_path: str, output_audio_path: str, format: str = 'wav', acodec: str = 'pcm_s16le') -> None: - """Extracts all audio channels from a video file and saves it in the specified format and codec. - - This function utilizes the ffmpeg library to extract audio without re-encoding if the specified - codec matches the source's codec. The output is in a format that can be specified (e.g., WAV, MP3), - using the desired codec (e.g., PCM_S16LE for WAV, libmp3lame for MP3). - - Parameters: - video_path (str): Path to the input video file. This should be the complete path to the video - file or a path that the script's context can resolve. - output_audio_path (str): Path where the output audio file will be saved. This should include the - filename and the appropriate file extension based on the format. - format (str): The format of the output audio file (default is 'wav'). Common formats include - 'wav', 'mp3', 'aac', etc. - acodec (str): The audio codec to use for the output file (default is 'pcm_s16le'). Common codecs - include 'pcm_s16le' (for WAV), 'libmp3lame' (for MP3), 'aac' (for AAC), etc. - - Returns: - None: This function does not return any values but will raise an error if the extraction fails. - - Raises: - ValueError: If the video path does not exist, or the specified format/codec is not supported. - ffmpeg.Error: An error occurred during the ffmpeg processing, such as an issue with the input file - or codec compatibility. - - Examples: - # Example 1: Extract audio in WAV format with default codec (PCM_S16LE) - extract_audio_from_video("example.mp4", "output_audio.wav") - - # Example 2: Extract audio in MP3 format using the libmp3lame codec - extract_audio_from_video("example.mp4", "output_audio.mp3", format="mp3", acodec="libmp3lame") - - # Example 3: Extract audio in AAC format with native AAC codec - extract_audio_from_video("example.mp4", "output_audio.aac", format="aac", acodec="aac") - - Todo: - - Dinamically check the supported formats and codecs - """ - # Check if the video file exists - if not os.path.exists(video_path): - raise FileNotFoundError(f"The video file {video_path} does not exist.") - - # Validate format and codec - valid_formats = ['wav', 'mp3', 'aac', 'flac', 'ogg', 'mka'] - valid_codecs = ['pcm_s16le', 'libmp3lame', 'aac', 'flac', 'libvorbis', 'copy'] - - if format not in valid_formats: - raise ValueError(f"Unsupported format: {format}. Supported formats: {valid_formats}") - if acodec not in valid_codecs: - raise ValueError(f"Unsupported codec: {acodec}. Supported codecs: {valid_codecs}") - - try: - # Input stream configuration - input_stream = ffmpeg.input(video_path) - - # Audio extraction configuration - audio_stream = input_stream.audio.output( - output_audio_path, - format=format, - acodec=acodec - ) - - # Execute ffmpeg command - ffmpeg.run(audio_stream, overwrite_output=True) - - except ffmpeg.Error as e: - print("An error occurred while extracting audio:", str(e)) \ No newline at end of file diff --git a/src/pipepal/__init__.py b/src/senselab/__init__.py similarity index 100% rename from src/pipepal/__init__.py rename to src/senselab/__init__.py diff --git a/src/pipepal/app.py b/src/senselab/app.py similarity index 50% rename from src/pipepal/app.py rename to src/senselab/app.py index b457dc5c..66e221ce 100644 --- a/src/pipepal/app.py +++ b/src/senselab/app.py @@ -3,9 +3,16 @@ It then calls this function if the script is run as the main program. """ -def hello_world() -> None: +from typing import Any, Dict + +from senselab.utils.decorators import get_response_time + + +@get_response_time +def hello_world() -> Dict[str, Any]: """Prints hello world.""" - print("Hello World!") + return {"output": "Hello World!"} if __name__ == "__main__": - hello_world() \ No newline at end of file + a = hello_world() + print(a) \ No newline at end of file diff --git a/src/pipepal/audio-cli/.gitkeep b/src/senselab/audio-cli/.gitkeep similarity index 100% rename from src/pipepal/audio-cli/.gitkeep rename to src/senselab/audio-cli/.gitkeep diff --git a/src/senselab/audio/tasks/speech_to_text.py b/src/senselab/audio/tasks/speech_to_text.py new file mode 100644 index 00000000..160ef20d --- /dev/null +++ b/src/senselab/audio/tasks/speech_to_text.py @@ -0,0 +1,65 @@ +"""This module implements some utilities for the speech-to-text task.""" +from typing import Any, Dict + +from datasets import Dataset +from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline + +from senselab.utils.functions import _select_device_and_dtype +from senselab.utils.hf import HFModel +from senselab.utils.tasks.input_output import _from_dict_to_hf_dataset, _from_hf_dataset_to_dict + + +def transcribe_dataset(dataset: Dict, model_id: str, audio_column: str = 'audio') -> Dict[str, Any]: + """Transcribes all audio samples in the dataset.""" + _ = HFModel(model_id=model_id) # check HF model is valid + hf_dataset = _from_dict_to_hf_dataset(dataset) + transcript_dataset = _transcribe_dataset_with_hf(dataset=hf_dataset, model_id=model_id, audio_column=audio_column) + return _from_hf_dataset_to_dict(transcript_dataset) + +def _transcribe_dataset_with_hf( + dataset: Dataset, + model_id: str, + low_cpu_mem_usage: bool = True, + use_safetensors: bool = True, + max_new_tokens: int = 128, + chunk_length_s: int = 30, + batch_size: int = 16, + return_timestamps: bool = True, + audio_column: str = 'audio' +) -> Dict[str, Any]: + """Transcribes all audio samples in the dataset and adds the transcriptions as a new column. + + # TODO: optmizing the function replacing the loop with pydra wf + """ + _ = HFModel(model_id=model_id) # check HF model is valid + + # Using batched map function to transcribe audio in batches for efficiency + device, torch_dtype = _select_device_and_dtype(device_options=['cuda', 'cpu']) + model = AutoModelForSpeechSeq2Seq.from_pretrained(model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=low_cpu_mem_usage, use_safetensors=use_safetensors).to(device) + processor = AutoProcessor.from_pretrained(model_id) + + pipe = pipeline( + "automatic-speech-recognition", + model=model, + tokenizer=processor.tokenizer, + feature_extractor=processor.feature_extractor, + max_new_tokens=max_new_tokens, + chunk_length_s=chunk_length_s, + batch_size=batch_size, + return_timestamps=return_timestamps, + torch_dtype=torch_dtype, + device=device, + ) + + def _transcribe_row_with_hf(dataset_row: Dataset, pipe: pipeline, audio_column_name: str ="audio") -> Dict[str, Any]: + """Transcribes a batch of audio samples and retains the original batch data.""" + # Perform transcription + transcriptions = pipe(dataset_row[audio_column_name]) + return transcriptions + + transcripts = [] + for row in dataset: + result = _transcribe_row_with_hf(row, pipe, audio_column_name=audio_column) + transcripts.append(result) + transcript_dataset = Dataset.from_dict({"asr": transcripts}) + return _from_hf_dataset_to_dict(transcript_dataset) diff --git a/src/senselab/audio/tasks/speech_to_text_pydra.py b/src/senselab/audio/tasks/speech_to_text_pydra.py new file mode 100644 index 00000000..9f3f4d67 --- /dev/null +++ b/src/senselab/audio/tasks/speech_to_text_pydra.py @@ -0,0 +1,6 @@ +"""This module defines a pydra API for the speech to text task.""" +import pydra + +from senselab.audio.tasks.speech_to_text import transcribe_dataset + +transcribe_dataset_pt = pydra.mark.task(transcribe_dataset) \ No newline at end of file diff --git a/src/pipepal/cli.py b/src/senselab/cli.py similarity index 81% rename from src/pipepal/cli.py rename to src/senselab/cli.py index 8f2dae3b..201fc5a1 100644 --- a/src/pipepal/cli.py +++ b/src/senselab/cli.py @@ -1,4 +1,4 @@ -"""This module defines CLI commands for the PipePal application.""" +"""This module defines CLI commands for the Senselab application.""" import click diff --git a/src/senselab/utils/config.json b/src/senselab/utils/config.json new file mode 100644 index 00000000..8f3b87c2 --- /dev/null +++ b/src/senselab/utils/config.json @@ -0,0 +1,10 @@ +{ + "files": { + "audio": { + "extensions": [".wav", ".mp3"] + }, + "video": { + "extensions": [".mp4", ".avi"] + } + } +} \ No newline at end of file diff --git a/src/senselab/utils/config.py b/src/senselab/utils/config.py new file mode 100644 index 00000000..c51023f4 --- /dev/null +++ b/src/senselab/utils/config.py @@ -0,0 +1,16 @@ +"""This module provides the implementation of config utilities.""" +import json +import os +from typing import Any, Dict + + +def get_config() -> Dict[str, Any]: + """Reads and returns the contents of the config file.""" + # Get the directory of the current script + script_dir = os.path.dirname(__file__) + # Build the path to the config file + config_file_path = os.path.join(script_dir, 'config.json') + # Load the config file + with open(config_file_path, 'r', encoding='utf-8') as file: + config = json.load(file) + return config \ No newline at end of file diff --git a/src/senselab/utils/decorators.py b/src/senselab/utils/decorators.py new file mode 100644 index 00000000..4fdb74fb --- /dev/null +++ b/src/senselab/utils/decorators.py @@ -0,0 +1,26 @@ +"""This module is for decorator functions.""" + +import time +from datetime import datetime +from functools import wraps +from typing import Any, Callable + + +def get_response_time(func: Callable) -> Callable: + """Decorator to measure and print response time information.""" + @wraps(func) + def wrapper(*args: Any, **kwargs: Any) -> Any: # noqa: ANN401 + print(f"Hello from {func.__name__}!") + start_time = time.time() + result = func(*args, **kwargs) + end_time = time.time() + duration = end_time - start_time + + start_str = datetime.fromtimestamp(start_time).strftime("%Y-%m-%d %H:%M:%S.%f") + end_str = datetime.fromtimestamp(end_time).strftime("%Y-%m-%d %H:%M:%S.%f") + + print("start_str: ", start_str, "end_str: ", end_str, "duration: ", duration) + + return result + + return wrapper diff --git a/src/senselab/utils/file.py b/src/senselab/utils/file.py new file mode 100644 index 00000000..7ce482ba --- /dev/null +++ b/src/senselab/utils/file.py @@ -0,0 +1,40 @@ +"""This module provides the implementation of file utilities.""" +import os +from pathlib import Path +from typing import List + +from pydantic import BaseModel, FilePath, field_validator + +from senselab.utils.config import get_config + + +class File(BaseModel): + """This class represents a file.""" + filepath: FilePath + + @property + def type(self) -> str: + """Determine the type of the file based on its extension.""" + extension = os.path.splitext(self.filepath)[1].lower() + for type_name, type_info in get_config()['files'].items(): + if extension in type_info['extensions']: + return type_name + raise ValueError("File type could not be determined from extension.") + + @field_validator('filepath') + def validate_filepath(cls, v: FilePath) -> FilePath: + """Validate the filepath.""" + if not os.path.exists(v): + raise ValueError(f'File {v} does not exist') + + file_extension = os.path.splitext(v)[1].lower() + valid_extensions = [ext for types in get_config()['files'].values() for ext in types['extensions']] + + if file_extension not in valid_extensions: + raise ValueError(f'Unsupported file extension: {file_extension}. Supported extensions: {valid_extensions}') + + return v + +def from_strings_to_files(list_of_files: List[str]) -> List[File]: + """Create a list of `File` objects from a list of strings.""" + return [File(filepath=Path(file)) for file in list_of_files] diff --git a/src/senselab/utils/functions.py b/src/senselab/utils/functions.py new file mode 100644 index 00000000..e45af119 --- /dev/null +++ b/src/senselab/utils/functions.py @@ -0,0 +1,17 @@ +"""Utility functions for senselab.""" +import torch + + +def _select_device_and_dtype(device_options: list[str] = ['cuda', 'mps', 'cpu']) -> tuple[str, torch.dtype]: + """Determines the device and data type for PyTorch operations.""" + # TODO: maybe move this function as a generic utility function? + if torch.cuda.is_available() and "cuda" in device_options: + device = "cuda" + torch_dtype = torch.float16 # Using half precision for CUDA + elif torch.backends.mps.is_available() and "mps" in device_options: + device = "mps" + torch_dtype = torch.float16 # Using half precision for MPS if suitable + else: + device = "cpu" + torch_dtype = torch.float32 # Default to float32 on CPU for better precision + return device, torch_dtype \ No newline at end of file diff --git a/src/senselab/utils/hf.py b/src/senselab/utils/hf.py new file mode 100644 index 00000000..e6ed05a5 --- /dev/null +++ b/src/senselab/utils/hf.py @@ -0,0 +1,33 @@ +"""This module provides the implementation of Hugging Face utilities.""" + +import os +from typing import Optional + +from huggingface_hub import HfApi +from pydantic import BaseModel, field_validator + + +class HFModel(BaseModel): + """Hugging Face model.""" + model_id: str + revision: str = "main" + + @field_validator('model_id') + def validate_model_id(cls, value: str) -> str: + """Validate the model_id.""" + if not value: + raise ValueError("model_id cannot be empty") + if not os.path.isfile(value) and not _check_hf_repo_exists(value, "model", None): + raise ValueError("model_id is not a valid Hugging Face model") + return value + +def _check_hf_repo_exists(repo_id: str, repo_type: str, token: Optional[str] = None) -> bool: + """Private function to check if a Hugging Face repository exists.""" + api = HfApi() + try: + repo_refs = api.list_repo_refs(repo_id=repo_id, repo_type=repo_type, token=token) + if repo_refs.branches: + return True + except Exception as e: + raise RuntimeError(f"An error occurred: {e}") + return False \ No newline at end of file diff --git a/src/senselab/utils/tasks/input_output.py b/src/senselab/utils/tasks/input_output.py new file mode 100644 index 00000000..4960099e --- /dev/null +++ b/src/senselab/utils/tasks/input_output.py @@ -0,0 +1,144 @@ +"""This module implements the IOTask class.""" + +import os +from typing import Any, Dict, List, Optional + +from datasets import Audio, Dataset, Image, load_dataset + +from senselab.utils.file import File, from_strings_to_files +from senselab.utils.hf import _check_hf_repo_exists + + +def read_files_from_disk(files: List[str]) -> Dict[str, Any]: + """Read files from disk and create a Hugging Face `Dataset` object.""" + formatted_files = from_strings_to_files(files) + + def _from_files_to_dataset(files: List[File]) -> Dataset: + """Reading files from disk and create a Hugging Face `Dataset` object.""" + # Checking if all files are of the same type + if not all(file.type == files[0].type for file in files): + raise ValueError("All files must be of the same type.") + + # Loading file paths + file_data = [str(file.filepath) for file in files] + + # Creating the Dataset object + dict_obj = {files[0].type: file_data} # Using the type of the first file as the key + + return Dataset.from_dict(dict_obj) + + dataset = _from_files_to_dataset(formatted_files) + return _from_hf_dataset_to_dict(dataset) + +def read_dataset_from_disk(input_path: str, split: str, streaming: bool = False) -> Dict[str, Any]: + """Loads a Hugging Face `Dataset` object from disk, determining the format based on the file extension or directory.""" + # Determine the input format based on the file extension or if it is a directory + if os.path.isdir(input_path): + input_format = 'arrow' + else: + input_format = os.path.splitext(input_path)[1].strip('.') + + # Load the dataset + try: + dataset = load_dataset(input_format, split=split, data_files=input_path, streaming=streaming) + return _from_hf_dataset_to_dict(dataset) + except Exception as e: + # Generic error handling, e.g., network issues, data loading issues + raise RuntimeError(f"An error occurred while loading the dataset: {str(e)}") + +def read_dataset_from_hub(remote_repository: str, revision: str = "main", split: str = "all", hf_token: Optional[str] = None) -> Dict[str, Any]: + """Loads a Hugging Face `Dataset` object from the Hugging Face Hub, including support for private repositories.""" + if not _check_hf_repo_exists(remote_repository, "dataset", hf_token): + raise RuntimeError(f"The repository {remote_repository} - {revision} - {split} does not exist or could not be accessed.") + + # Load the dataset + try: + dataset = load_dataset(path=remote_repository, revision=revision, split=split, token=hf_token) + except Exception as e: + # Generic error handling, e.g., network issues, data loading issues + raise RuntimeError(f"An error occurred while loading the dataset: {str(e)}") + + return _from_hf_dataset_to_dict(dataset) + +def push_dataset_to_hub(dataset: Dict[str, Any], remote_repository: str, revision: str = "main", split: str = "all", hf_token: Optional[str] = None) -> None: + """Uploads a Hugging Face `Dataset` object to the Hugging Face Hub.""" + hf_dataset = _from_dict_to_hf_dataset(dataset) + + try: + # Upload the dataset to the Hugging Face Hub + if hf_token: + hf_dataset.push_to_hub(repo_id=remote_repository, revision=revision, split=split, private=True, token=hf_token) + else: + hf_dataset.push_to_hub(repo_id=remote_repository, revision=revision, split=split) + except Exception as e: + raise RuntimeError(f"Failed to push dataset to the hub: {str(e)}") + return + +def save_dataset_to_disk(dataset: Dict[str, Any], output_directory: str, output_name: str, output_format: str = "parquet") -> None: + """Saves a Hugging Face `Dataset` object to disk.""" + # TODO: optimize saving process (e.g., playing with batch size and num of processors) + hf_dataset = _from_dict_to_hf_dataset(dataset) + + # Prepare the output path differently if the format is Arrow + if output_format == "arrow": + output_path = os.path.join(output_directory, output_name) # No extension for Arrow, it's a directory + else: + output_path = os.path.join(output_directory, f"{output_name}.{output_format}") + + # Use os.makedirs to create the output directory, ignore error if it already exists + os.makedirs(output_directory, exist_ok=True) + + if output_format == "parquet": + def _save_hf_dataset_as_parquet(dataset: Dataset, output_path: str) -> None: + """Saves a Hugging Face `Dataset` object to parquet format.""" + dataset.to_parquet(output_path) + + _save_hf_dataset_as_parquet(hf_dataset, output_path) + elif output_format == "json": + def _save_hf_dataset_as_json(dataset: Dataset, output_path: str) -> None: + """Saves a Hugging Face `Dataset` object to json format.""" + dataset.to_json(output_path) + + _save_hf_dataset_as_json(hf_dataset, output_path) + elif output_format == "csv": + def _save_hf_dataset_as_csv(dataset: Dataset, output_path: str) -> None: + """Saves a Hugging Face `Dataset` object to csv format.""" + dataset.to_csv(output_path) + + _save_hf_dataset_as_csv(hf_dataset, output_path) + elif output_format == "sql": + def _save_hf_dataset_as_sql(dataset: Dataset, output_path: str) -> None: + """Saves a Hugging Face `Dataset` object to sql format.""" + dataset.to_sql(output_path) + + _save_hf_dataset_as_sql(hf_dataset, output_path) + elif output_format == "arrow": + def _save_hf_dataset_as_arrow(dataset: Dataset, output_path: str) -> None: + """Saves a Hugging Face `Dataset` object in Apache Arrow format.""" + dataset.save_to_disk(output_path) + + _save_hf_dataset_as_arrow(hf_dataset, output_path) + else: + raise ValueError(f"Unsupported output format: {output_format}") + return + +def _from_hf_dataset_to_dict(dataset: Dataset) -> Dict[str, Any]: + """Converts a Hugging Face `Dataset` object to a dictionary.""" + return dataset.to_dict() + +def _from_dict_to_hf_dataset(data: Dict[str, Any], image_columns: list[str] = ['image'], audio_columns: list[str] = ['audio']) -> Dataset: + """Converts a dictionary to a Hugging Face `Dataset` object with casting for image and audio columns.""" + dataset = Dataset.from_dict(data) + + # Cast image columns + for column in image_columns: + if column in dataset.column_names: + dataset = dataset.cast_column(column, Image()) + + # Cast audio columns + for column in audio_columns: + if column in dataset.column_names: + dataset = dataset.cast_column(column, Audio(mono=False)) + + return dataset + diff --git a/src/senselab/utils/tasks/input_output_pydra.py b/src/senselab/utils/tasks/input_output_pydra.py new file mode 100644 index 00000000..5ceb3805 --- /dev/null +++ b/src/senselab/utils/tasks/input_output_pydra.py @@ -0,0 +1,10 @@ +"""This module defines a pydra API for the input output tasks.""" +import pydra + +from senselab.utils.tasks.input_output import push_dataset_to_hub, read_dataset_from_disk, read_dataset_from_hub, read_files_from_disk, save_dataset_to_disk + +read_files_from_disk_pt = pydra.mark.task(read_files_from_disk) +read_dataset_from_disk_pt = pydra.mark.task(read_dataset_from_disk) +read_dataset_from_hub_pt = pydra.mark.task(read_dataset_from_hub) +push_dataset_to_hub_pt = pydra.mark.task(push_dataset_to_hub) +save_dataset_to_disk_pt = pydra.mark.task(save_dataset_to_disk) \ No newline at end of file diff --git a/src/pipepal/audio/pipes/.gitkeep b/src/senselab/video/.gitkeep similarity index 100% rename from src/pipepal/audio/pipes/.gitkeep rename to src/senselab/video/.gitkeep diff --git a/src/tests/test_app.py b/src/tests/test_app.py index 4a4ba818..01aeeab3 100644 --- a/src/tests/test_app.py +++ b/src/tests/test_app.py @@ -1,14 +1,11 @@ """Tests for the app hello_world function.""" -from _pytest.capture import CaptureFixture +from senselab.app import hello_world -from pipepal.app import hello_world - -def test_hello_world(capsys: CaptureFixture) -> None: +def test_hello_world() -> None: """A test function for hello_world. This function uses the capsys fixture to capture stdout and stderr. """ - hello_world() - captured = capsys.readouterr() # Captures the output of hello_world() - assert "Hello World!\n" == captured.out \ No newline at end of file + result = hello_world() + assert "Hello World!" == result['output'] \ No newline at end of file diff --git a/src/tests/test_audio_exampletask_exampleservice.py b/src/tests/test_audio_exampletask_exampleservice.py deleted file mode 100644 index 5c471839..00000000 --- a/src/tests/test_audio_exampletask_exampleservice.py +++ /dev/null @@ -1,75 +0,0 @@ -"""Tests for the run method of the ExampleService in the audio's ExampleTask.""" - -import pytest - -from pipepal.audio.tasks import ExampleTask - - -def test_exampletask_run() -> None: - """Test the run method of ExampleTask. - - This test verifies: - 1. The output type is a dictionary. - 2. The output's 'output' key correctly returns the expected string. - """ - # Instantiate your class - exampleTask = ExampleTask() - - # Call the method you wish to test - output = exampleTask.run({ - "data": { - "hello": "world" - }, - "service": { - "service_name": "ExampleService", - "model_checkpoint": "model.ckpt", - "model_version": "1.0", - } - }) - - # Assert conditions about the output - assert type(output) == dict, "Output should be a dictionary" # noqa: E721 - expected_output_output = "ExampleService output" - assert output['output'] == expected_output_output, "The output of the run method does not match the expected output" - -def test_exampletask_run_missing_service_fields() -> None: - """Test the run method of ExampleTask. - - This test checks for its handling of missing required service fields. - This test iteratively removes each required service field (service_name, model_checkpoint, - model_version) from the input and checks if a ValueError is raised with the appropriate - error message indicating the missing field. - - The test ensures that: - 1. A ValueError is thrown for missing service fields. - 2. The exception message contains the name of the missing field. - """ - # Instantiate your class - example_task = ExampleTask() - - # Define a list of required service fields - required_service_fields = ["service_name", "model_checkpoint", "model_version"] - - # Iterate over each required field and test by removing each one by one - for missing_field in required_service_fields: - # Create a payload with all necessary fields - payload_with_all_fields = { - "data": { - "hello": "world" - }, - "service": { - "service_name": "my_service", - "model_checkpoint": "model.ckpt", - "model_version": "1.0", - } - } - - # Remove the field being tested - del payload_with_all_fields["service"][missing_field] - - # Use pytest.raises to assert that a ValueError is raised due to the missing field - with pytest.raises(ValueError) as excinfo: - example_task.run(payload_with_all_fields) - - # Assert that the error message contains the name of the missing field - assert missing_field in str(excinfo.value), f"Expected ValueError due to missing '{missing_field}' field" diff --git a/src/tests/test_audio_iotask_datasets.py b/src/tests/test_audio_iotask_datasets.py deleted file mode 100644 index 1cf334cb..00000000 --- a/src/tests/test_audio_iotask_datasets.py +++ /dev/null @@ -1,205 +0,0 @@ -"""This module tests the audio's IOTask class.""" - - -import os -from typing import Any, Dict, List - -import pytest -from datasets import Dataset - -from pipepal.audio.tasks import IOTask as AudioIOTask - - -def test_read_audios_from_disk_input_errors() -> None: - """Test the read_audios_from_disk method. - - This test checks if the read_audios_from_disk method raises appropriate errors for invalid inputs. - This tests: - 1. Missing 'service' or 'data' keys in the input dictionary. - 2. Invalid file paths in the 'files' list (non-existent files). - """ - with pytest.raises(ValueError): - # Missing 'service' key - AudioIOTask().read_audios_from_disk({ - "data": { - "files": ["/path/to/audio/file1.wav"] - } - }) - - with pytest.raises(ValueError): - # Missing 'data' key - AudioIOTask().read_audios_from_disk({ - "service": { - "service_name": "Datasets" - } - }) - - with pytest.raises(FileNotFoundError): - # Non-existent file path - AudioIOTask().read_audios_from_disk({ - "data": { - "files": ["/non/existent/path/file1.wav"] - }, - "service": { - "service_name": "Datasets" - } - }) - -def test_read_audios_from_disk_output_type() -> None: - """Test the read_audios_from_disk method to check if the output is of type HF datasets.""" - test_input = { - "data": { - "files": [f"{os.path.dirname(__file__)}/data_for_testing/audio_48khz_mono_16bits.wav", f"{os.path.dirname(__file__)}/data_for_testing/audio_48khz_stereo_16bits.wav"] - }, - "service": { - "service_name": "Datasets" - } - } - response = AudioIOTask().read_audios_from_disk(test_input) - assert isinstance(response["output"], Dataset), "The output should be an instance of HF_datasets." - -def test_read_audios_from_disk_output_dimensions() -> None: - """Test the read_audios_from_disk method. - - This test checks if the dimensions of the output HF datasets object match the input list of audio files. - Uses mocker to patch the DatasetsService to avoid actual file I/O and simulate reading files. - """ - test_input: Dict[str, Any] = { - "data": { - "files": [f"{os.path.dirname(__file__)}/data_for_testing/audio_48khz_mono_16bits.wav", f"{os.path.dirname(__file__)}/data_for_testing/audio_48khz_stereo_16bits.wav"] - }, - "service": { - "service_name": "Datasets" - } - } - response: Dict[str, List[str]] = AudioIOTask().read_audios_from_disk(test_input) - assert len(response["output"]) == len(test_input["data"]["files"]), "The number of items in the output should match the number of input files." - - -def test_save_HF_dataset_to_disk() -> None: - """Test the `save_HF_dataset_to_disk` method for successful execution with valid inputs. - - This test ensures that when given a correctly formatted input dictionary that includes - a valid 'service' and 'data' key, the `save_HF_dataset_to_disk` method completes - without throwing any errors. The test assumes that the input 'service' corresponds - to a service that exists and can process the 'data' provided. It is designed to - validate the method's ability to handle expected inputs correctly. - - Assumptions: - - 'service' is a placeholder for an actual service name expected by the application. - - 'valid_dataset_identifier_or_path' is a placeholder for an actual dataset identifier - or path that the method can process. - - The test will fail if the method throws any exceptions, indicating issues with the - method's error handling or functionality with assumed valid inputs. - """ - # Set up the input dictionary as expected by the method - input_data = { - "service": { - "service_name": "Datasets" - }, - "data": { - "dataset": Dataset.from_dict({"pokemon": ["bulbasaur", "squirtle"], "type": ["grass", "water"]}), - "output_path": f"{os.path.dirname(__file__)}/data_for_testing/output_dataset" - } - } - - # Test if the function runs without errors with valid inputs - try: - AudioIOTask().save_HF_dataset_to_disk(input_data) - except Exception as e: - pytest.fail(f"Function raised an exception with valid input: {e}") - - # shutil.rmtree(f"{os.path.dirname(__file__)}/data_for_testing/output_dataset") - - -def test_upload_HF_dataset_to_HF_hub() -> None: - """Test the `upload_HF_dataset_to_HF_hub` method for successful execution with valid inputs. - - This test checks that the `upload_HF_dataset_to_HF_hub` method does not produce any - errors when executed with an input dictionary containing correct 'service' and 'data' keys. - This verifies the method's capacity to operate as expected under normal conditions. The - 'service' should be a real service name within the application's context, capable of - processing the provided 'data' (dataset identifier or path). - - Assumptions: - - 'valid_service' should be replaced with a real service name known to the system. - - 'valid_dataset_identifier_or_path' should be an actual path or identifier that the - service can handle. - - If the method throws exceptions with these inputs, the test will fail, highlighting - potential problems in the method's implementation or issues with handling inputs - that are presumed to be correct. - - Todo: - - We may want to set up a lab HF account - """ - # Set up the input dictionary as expected by the method - input_data = { - "service": { - "service_name": "Datasets" - }, - "data": { - "dataset": Dataset.from_dict({"pokemon": ["bulbasaur", "squirtle"], "type": ["grass", "water"]}), - "output_uri": "fabiocat/test" - } - } - - # Test if the function runs without errors with valid inputs - try: - AudioIOTask().upload_HF_dataset_to_HF_hub(input_data) - except Exception as e: - pytest.fail(f"Function raised an exception with valid input: {e}") - - -def test_read_local_HF_dataset() -> None: - """Test the `read_local_HF_dataset` method for successful loading with valid local path input. - - This test ensures that the `read_local_HF_dataset` method can correctly load a dataset from - a specified local path without throwing any exceptions when provided with a valid path. - If the method throws exceptions with these inputs, the test will fail, which would indicate issues - with the method's implementation or the provided path. - """ - # Set up the input dictionary as expected by the method - input_data = { - "service": { - "service_name": "Datasets" - }, - "data": { - "path": f'{os.path.dirname(__file__)}/data_for_testing/output_dataset' - } - } - - # Test if the function runs without errors with valid inputs - try: - response = AudioIOTask().read_local_HF_dataset(input_data) - assert "output" in response, "The key 'output' was not found in the result dictionary." - assert isinstance(response["output"], Dataset), "The result is not a Dataset object as expected." - except Exception as e: - pytest.fail(f"Function raised an exception with valid input: {e}") - -def test_read_HF_dataset_from_HF_hub() -> None: - """Test the `read_HF_dataset_from_HF_hub` method for successful loading with valid URI input. - - This test checks that the `read_HF_dataset_from_HF_hub` method can correctly load a dataset from - the Hugging Face Hub using a provided URI without errors, assuming the URI points to an accessible dataset. - If the method throws exceptions with these inputs, the test will fail, which would indicate problems - either in the method's implementation or in the accessibility of the dataset at the specified URI. - """ - # Set up the input dictionary as expected by the method - input_data = { - "service": { - "service_name": "Datasets" - }, - "data": { - "uri": "fabiocat/test" # Assuming a valid URI that is accessible - } - } - - # Test if the function runs without errors with valid inputs - try: - response = AudioIOTask().read_HF_dataset_from_HF_hub(input_data) - assert "output" in response, "The key 'output' was not found in the result dictionary." - assert isinstance(response["output"]["train"], Dataset), "The result is not a Dataset object as expected." - except Exception as e: - pytest.fail(f"Function raised an exception with valid input: {e}") \ No newline at end of file diff --git a/src/tests/test_video_exampletask_exampleservice.py b/src/tests/test_video_exampletask_exampleservice.py deleted file mode 100644 index ff9b0e29..00000000 --- a/src/tests/test_video_exampletask_exampleservice.py +++ /dev/null @@ -1,75 +0,0 @@ -"""Tests for the run method of the ExampleService in the video's ExampleTask.""" - -import pytest - -from pipepal.video.tasks import ExampleTask - - -def test_exampletask_run() -> None: - """Test the run method of ExampleTask. - - This test verifies: - 1. The output type is a dictionary. - 2. The output's 'output' key correctly returns the expected string. - """ - # Instantiate your class - exampleTask = ExampleTask() - - # Call the method you wish to test - output = exampleTask.run({ - "data": { - "hello": "world" - }, - "service": { - "service_name": "ExampleService", - "model_checkpoint": "model.ckpt", - "model_version": "1.0", - } - }) - - # Assert conditions about the output - assert type(output) == dict, "Output should be a dictionary" # noqa: E721 - expected_output_output = "ExampleService output" - assert output['output'] == expected_output_output, "The output of the run method does not match the expected output" - -def test_exampletask_run_missing_service_fields() -> None: - """Test the run method of ExampleTask. - - This test checks for its handling of missing required service fields. - This test iteratively removes each required service field (service_name, model_checkpoint, - model_version) from the input and checks if a ValueError is raised with the appropriate - error message indicating the missing field. - - The test ensures that: - 1. A ValueError is thrown for missing service fields. - 2. The exception message contains the name of the missing field. - """ - # Instantiate your class - example_task = ExampleTask() - - # Define a list of required service fields - required_service_fields = ["service_name", "model_checkpoint", "model_version"] - - # Iterate over each required field and test by removing each one by one - for missing_field in required_service_fields: - # Create a payload with all necessary fields - payload_with_all_fields = { - "data": { - "hello": "world" - }, - "service": { - "service_name": "my_service", - "model_checkpoint": "model.ckpt", - "model_version": "1.0", - } - } - - # Remove the field being tested - del payload_with_all_fields["service"][missing_field] - - # Use pytest.raises to assert that a ValueError is raised due to the missing field - with pytest.raises(ValueError) as excinfo: - example_task.run(payload_with_all_fields) - - # Assert that the error message contains the name of the missing field - assert missing_field in str(excinfo.value), f"Expected ValueError due to missing '{missing_field}' field" diff --git a/src/tests/test_video_iotask_datasets.py b/src/tests/test_video_iotask_datasets.py deleted file mode 100644 index 59ef2c00..00000000 --- a/src/tests/test_video_iotask_datasets.py +++ /dev/null @@ -1,94 +0,0 @@ -"""This module tests the video's IOTask class.""" - -import os -from typing import Any, Dict, List - -import pytest - -from pipepal.video.tasks import IOTask as VideoIOTask - - -def test_extract_audios_from_videos_input_errors() -> None: - """Test the extract_audios_from_videos method. - - This test checks if the extract_audios_from_videos method raises appropriate errors for invalid inputs. - This tests: - 1. Missing 'service' or 'data' keys in the input dictionary. - 2. Invalid file paths in the 'files' list (non-existent files). - """ - with pytest.raises(ValueError): - # Missing 'service' key - VideoIOTask().extract_audios_from_videos({ - "data": { - "files": ["/path/to/audio/file1.mp4"], - "output_folder": "/path/to/output/audios", - "audio_format": "wav", - "audio_codec": "pcm_s16le" - } - }) - - with pytest.raises(ValueError): - # Missing 'data' key - VideoIOTask().extract_audios_from_videos({ - "service": { - "service_name": "ffmpeg" - } - }) - - with pytest.raises(FileNotFoundError): - # Non-existent file path - VideoIOTask().extract_audios_from_videos({ - "data": { - "files": ["/non/existent/path/file1.mp4"], - "output_folder": f"{os.path.dirname(__file__)}/data_for_testing", - "audio_format": "wav", - "audio_codec": "pcm_s16le" - }, - "service": { - "service_name": "ffmpeg" - } - }) - -def test_extract_audios_from_videos_output_type() -> None: - """Test the extract_audios_from_videos method to check if the output is of type list of strings.""" - test_input = { - "data": { - "files": [f"{os.path.dirname(__file__)}/data_for_testing/video_48khz_stereo_16bits.mp4"], - "output_folder": f"{os.path.dirname(__file__)}/data_for_testing", - "audio_format": "wav", - "audio_codec": "pcm_s16le" - }, - "service": { - "service_name": "ffmpeg" - } - } - response = VideoIOTask().extract_audios_from_videos(test_input) - assert isinstance(response["output"], list), "Output should be a list" - assert all(isinstance(item, str) for item in response["output"]), "All items in output list should be strings" - - # Clean up - for audio_file in response["output"]: - os.remove(audio_file) - -def test_read_audios_from_disk_output_dimensions() -> None: - """Test the read_audios_from_disk method. - - This test checks if the dimensions of the output list of audio files match the input list of video files. - """ - test_input: Dict[str, Any] = { - "data": { - "files": [f"{os.path.dirname(__file__)}/data_for_testing/video_48khz_stereo_16bits.mp4"], - "output_folder": f"{os.path.dirname(__file__)}/data_for_testing", - "audio_format": "wav", - "audio_codec": "pcm_s16le" - }, - "service": { - "service_name": "ffmpeg" - } - } - response: Dict[str, List[str]] = VideoIOTask().extract_audios_from_videos(test_input) - assert len(response["output"]) == len(test_input["data"]["files"]), "The number of items in the output should match the number of input files." - - # Clean up - for audio_file in response["output"]: - os.remove(audio_file) diff --git a/tutorials/tutorial.ipynb b/tutorials/tutorial.ipynb deleted file mode 100644 index 5c8bfcae..00000000 --- a/tutorials/tutorial.ipynb +++ /dev/null @@ -1,230 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Tutorial" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This notebook will show various snippets of code for varios tasks using the audio and video functionalities provided by the `pipepal` package. \n", - "\n", - "Please note that all file paths and configurations used here are placeholders and should be replaced with actual user-specific paths and settings." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Importing necessary classes from the pipepal package\n", - "from pipepal.audio.tasks import ExampleTask, IOTask as AudioIOTask\n", - "from pipepal.video.tasks import IOTask as VideoIOTask" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Audio Task" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Example Task\n", - "# ------------\n", - "# This section demonstrates the usage of the ExampleTask which is a basic template task.\n", - "\n", - "# Creating an instance of ExampleTask\n", - "example_task = ExampleTask()\n", - "\n", - "# Running the example task with sample data and service configurations\n", - "example_response = example_task.run({\n", - " \"data\": {\n", - " \"hello\": \"world\"\n", - " },\n", - " \"service\": {\n", - " \"service_name\": \"ExampleService\",\n", - " \"model_checkpoint\": \"model.ckpt\",\n", - " \"model_version\": \"1.0\",\n", - " }\n", - "})\n", - "\n", - "# Output the response from the example task\n", - "print(\"Example Task Response:\", example_response)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Video IO Task" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Video IO Task\n", - "# -------------\n", - "# This section illustrates how to extract audio tracks from video files using VideoIOTask.\n", - "\n", - "# Creating an instance of VideoIOTask\n", - "video_io_task = VideoIOTask()\n", - "\n", - "# Extracting audio from video\n", - "video_io_response = video_io_task.extract_audios_from_videos({\n", - " \"data\": {\n", - " \"files\": [\"/path/to/your/video_file.mp4\"],\n", - " \"audio_format\": \"wav\",\n", - " \"audio_codec\": \"pcm_s16le\",\n", - " \"output_folder\": \"/path/to/output/audios\"\n", - " },\n", - " \"service\": {\n", - " \"service_name\": \"ffmpeg\"\n", - " }\n", - "})\n", - "\n", - "# Output the response from the video IO task\n", - "print(\"Video IO Task Response:\", video_io_response)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Audio IO Task" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Audio IO Task\n", - "# -------------\n", - "# This section shows how to read audio files from disk using AudioIOTask.\n", - "\n", - "# Creating an instance of AudioIOTask\n", - "audio_io_task = AudioIOTask()\n", - "\n", - "# Reading audios from disk\n", - "audio_io_response = audio_io_task.read_audios_from_disk({\n", - " \"data\": {\n", - " \"files\": [\n", - " \"/path/to/audio/file1.wav\",\n", - " \"/path/to/audio/file2.wav\",\n", - " \"/path/to/audio/file3.wav\"\n", - " ]\n", - " },\n", - " \"service\": {\n", - " \"service_name\": \"Datasets\"\n", - " }\n", - "})\n", - "\n", - "# Accessing the output from the response which is a list of audio data\n", - "audio_dataset = audio_io_response['output']\n", - "\n", - "# Displaying information about the first and last audio files in the dataset\n", - "print(\"First audio shape:\", audio_dataset[0]['audio']['array'].shape)\n", - "print(\"First audio array:\", audio_dataset[0]['audio']['array'])\n", - "print(\"Last audio shape:\", audio_dataset[-1]['audio']['array'].shape)\n", - "print(\"Last audio array:\", audio_dataset[-1]['audio']['array'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Raw Signal Processing Task" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\"\"\" # Not working #\n", - "# Raw Signal Processing Task\n", - "# --------------------------\n", - "# This section demonstrates the use of RawSignalProcessingTask to perform operations like channel selection and resampling.\n", - "\n", - "from pipepal.audio.tasks import RawSignalProcessingTask\n", - "\n", - "# Instantiate your class\n", - "raw_signal_processing_task = RawSignalProcessingTask()\n", - "\n", - "# Running the raw signal processing task with the previously created audio dataset\n", - "asp_response = raw_signal_processing_task.run({\n", - " \"data\": {\n", - " \"dataset\": audio_dataset,\n", - " \"channeling\": {\n", - " \"method\": \"selection\", # alternative is \"average\"\n", - " \"channels_to_keep\": [0]\n", - " },\n", - " \"resampling\": {\n", - " \"rate\": 16000,\n", - " }\n", - " },\n", - " \"service\": {\n", - " \"service_name\": \"torchaudio\"\n", - " }\n", - "})\n", - "\n", - "# Accessing the new audio dataset from the response\n", - "new_audio_dataset = asp_response['output']\n", - "\n", - "# Printing details about the processed audio dataset\n", - "print(\"Processed audio dataset:\", new_audio_dataset)\n", - "print(\"Shape of last audio array in processed dataset:\", new_audio_dataset[-1]['audio']['array'].shape)\n", - "print(\"Last audio array in processed dataset:\", new_audio_dataset[-1]['audio']['array'])\n", - "\n", - "# Optionally, pushing the new audio dataset to a hub\n", - "# Uncomment the following line to perform this action\n", - "# new_audio_dataset.push_to_hub(\"your_hub_repository_name\")\n", - "\"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "pipepal-dH98wMGu-py3.10", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}