From 87fd29f172135d3d9253491d871871127331b988 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Marcin=20W=C4=85troba?= <markowanga@gmail.com>
Date: Wed, 11 Jan 2023 17:59:11 +0100
Subject: [PATCH] Add changes
---
.dockerignore | 120 ++
Dockerfile | 20 +
asr_responses_cache/google_asr.py | 62 +
asr_responses_cache/google_cloud_processor.py | 95 ++
.../google_cloud_processor_fleur.py | 92 ++
.../google_cloud_processor_minds.py | 95 ++
build_push_docker.sh | 5 +
.../import_from_google_responses.py | 30 +
cache_asr_scripts/process_data.py | 23 +
docker-compose.yaml | 37 +
docs/Makefile | 20 -
docs/authors.rst | 1 -
docs/conf.py | 154 ---
docs/contributing.rst | 1 -
docs/history.rst | 1 -
docs/index.rst | 20 -
docs/installation.rst | 51 -
docs/make.bat | 36 -
docs/readme.rst | 1 -
docs/usage.rst | 7 -
example.py | 7 -
new_datasets/__init__.py | 0
new_datasets/add_asr_to_queue.py | 57 +
new_datasets/import_datasets/__init__.py | 0
new_datasets/import_datasets/upload_audio.py | 100 ++
new_datasets/import_gold_trnascrpt_mls.py | 30 +
new_datasets/whisper_asr_runner.py | 79 ++
new_datasets/whisper_processor.py | 24 +
new_experiment/__init__.py | 0
new_experiment/pipeline/__init__.py | 0
new_experiment/utils/__init__.py | 0
new_experiment/utils/property_helper.py | 53 +
poetry.lock | 1028 ++++++++++-------
pyproject.toml | 9 +-
sziszapangma/integration/asr_processor.py | 2 -
...mongo_experiment_repository.cpython-38.pyc | Bin 2958 -> 2957 bytes
.../fsspec_experiment_repository.py | 92 ++
37 files changed, 1604 insertions(+), 748 deletions(-)
create mode 100644 .dockerignore
create mode 100644 Dockerfile
create mode 100644 asr_responses_cache/google_asr.py
create mode 100644 asr_responses_cache/google_cloud_processor.py
create mode 100644 asr_responses_cache/google_cloud_processor_fleur.py
create mode 100644 asr_responses_cache/google_cloud_processor_minds.py
create mode 100755 build_push_docker.sh
create mode 100644 cache_asr_scripts/import_from_google_responses.py
create mode 100644 cache_asr_scripts/process_data.py
create mode 100644 docker-compose.yaml
delete mode 100644 docs/Makefile
delete mode 100644 docs/authors.rst
delete mode 100644 docs/conf.py
delete mode 100644 docs/contributing.rst
delete mode 100644 docs/history.rst
delete mode 100644 docs/index.rst
delete mode 100644 docs/installation.rst
delete mode 100644 docs/make.bat
delete mode 100644 docs/readme.rst
delete mode 100644 docs/usage.rst
delete mode 100644 example.py
create mode 100644 new_datasets/__init__.py
create mode 100644 new_datasets/add_asr_to_queue.py
create mode 100644 new_datasets/import_datasets/__init__.py
create mode 100644 new_datasets/import_datasets/upload_audio.py
create mode 100644 new_datasets/import_gold_trnascrpt_mls.py
create mode 100644 new_datasets/whisper_asr_runner.py
create mode 100644 new_datasets/whisper_processor.py
create mode 100644 new_experiment/__init__.py
create mode 100644 new_experiment/pipeline/__init__.py
create mode 100644 new_experiment/utils/__init__.py
create mode 100644 new_experiment/utils/property_helper.py
create mode 100644 sziszapangma/integration/repository/fsspec_experiment_repository.py
diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..596197e
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,120 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# dotenv
+.env
+
+# virtualenv
+.venv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+# IDE settings
+.vscode/
+
+# macOS
+.DS_Store
+
+debug_run/
+publish_to_theliver.sh
+
+.idea
+
+experiment_data
+cache_asr_scripts
+
+docker/embedding_models/
+docker/wav2vec2for_ctc_models/
+.dvc
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..0bcb59c
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,20 @@
+FROM nvidia/cuda:11.1.1-devel-ubuntu20.04
+WORKDIR /app
+
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y tzdata \
+ && apt-get install -y software-properties-common curl
+RUN add-apt-repository ppa:deadsnakes/ppa && apt-get update && apt-get install -y python3.8 python3-pip ffmpeg
+RUN alias python='python3' && alias pip='pip3' && pip install poetry
+
+ADD poetry.lock ./
+ADD pyproject.toml ./
+ADD README.rst ./
+ADD sziszapangma/ sziszapangma/
+ADD experiment/ experiment/
+ADD new_datasets/ new_datasets/
+
+RUN ls -l
+
+RUN poetry config virtualenvs.create false --local
+
+RUN poetry install
diff --git a/asr_responses_cache/google_asr.py b/asr_responses_cache/google_asr.py
new file mode 100644
index 0000000..7043a8b
--- /dev/null
+++ b/asr_responses_cache/google_asr.py
@@ -0,0 +1,62 @@
+import json
+import uuid
+from pathlib import Path
+from typing import Any
+from google.protobuf.json_format import MessageToJson
+
+from google.cloud.storage import Blob
+import os
+from google.cloud import speech
+from google.cloud import storage
+
+
+class GoogleCloudAsrProcessor:
+ bucket_name: str
+ storage_client: storage.Client
+ speech_client: speech.SpeechClient
+ language_code: str
+
+ def __init__(
+ self,
+ bucket_name: str,
+ storage_client: storage.Client,
+ speech_client: speech.SpeechClient,
+ language_code: str
+ ):
+ self.speech_client = speech_client
+ self.storage_client = storage_client
+ self.bucket_name = bucket_name
+ self.language_code = language_code
+
+ def save_file_in_gcs(self, file_path: str) -> Blob:
+ bucket = self.storage_client.get_bucket(self.bucket_name)
+ blob = bucket.blob(f'{uuid.uuid4()}__{Path(file_path).name}')
+ blob.upload_from_filename(file_path)
+ return blob
+
+ def process_file(self, file_path: str) -> Any:
+ blob = self.save_file_in_gcs(file_path)
+ uri = f'gs://{self.bucket_name}/{blob.name}'
+ long_audi_wav = speech.RecognitionAudio(uri=uri)
+ config_wav_enhanced = speech.RecognitionConfig(
+ enable_automatic_punctuation=True,
+ language_code=self.language_code,
+ use_enhanced=True,
+ enable_word_time_offsets=True
+ )
+
+ operation = self.speech_client.long_running_recognize(
+ config=config_wav_enhanced,
+ audio=long_audi_wav
+ )
+ response = operation.result(timeout=300)
+ blob.delete()
+ return MessageToJson(response._pb)
+
+
+if __name__ == '__main__':
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ media_file_name_wav = 'experiment_data/dataset/voicelab_cbiz_testset_20220322/bankowe/cbiz_tc_2.agnt.wav'
+ processor = GoogleCloudAsrProcessor('asr-benchmarks-data', storage.Client(), speech.SpeechClient(), 'pl-PL')
+ processor.process_file(media_file_name_wav)
+
diff --git a/asr_responses_cache/google_cloud_processor.py b/asr_responses_cache/google_cloud_processor.py
new file mode 100644
index 0000000..dea2aee
--- /dev/null
+++ b/asr_responses_cache/google_cloud_processor.py
@@ -0,0 +1,95 @@
+import datetime
+import os.path
+
+from datasets import load_dataset
+from google.cloud.speech_v1p1beta1 import RecognitionConfig
+from joblib import Parallel, delayed
+
+import json
+import uuid
+from pathlib import Path
+from typing import Any
+from google.protobuf.json_format import MessageToJson
+
+from google.cloud.storage import Blob
+import os
+from google.cloud import speech
+from google.cloud import storage
+from scipy.io.wavfile import write
+from experiment.luna.pipeline.dependency_provider import get_record_provider
+
+ACCESS_TOKEN = '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'
+
+
+class GoogleCloudAsrProcessor:
+ bucket_name: str
+ storage_client: storage.Client
+ speech_client: speech.SpeechClient
+ language_code: str
+
+ def __init__(
+ self,
+ bucket_name: str,
+ storage_client: storage.Client,
+ speech_client: speech.SpeechClient,
+ language_code: str
+ ):
+ self.speech_client = speech_client
+ self.storage_client = storage_client
+ self.bucket_name = bucket_name
+ self.language_code = language_code
+
+ def save_file_in_gcs(self, file_path: str) -> Blob:
+ bucket = self.storage_client.get_bucket(self.bucket_name)
+ blob = bucket.blob(f'{uuid.uuid4()}__{Path(file_path).name}')
+ blob.upload_from_filename(file_path)
+ return blob
+
+ def process_file(self, file_path: str) -> str:
+ blob = self.save_file_in_gcs(file_path)
+ uri = f'gs://{self.bucket_name}/{blob.name}'
+ long_audi_wav = speech.RecognitionAudio(uri=uri)
+ config_wav_enhanced = speech.RecognitionConfig(
+ enable_automatic_punctuation=True,
+ language_code=self.language_code,
+ use_enhanced=True,
+ enable_word_time_offsets=True,
+ encoding=RecognitionConfig.AudioEncoding.MP3,
+ sample_rate_hertz=48000
+ )
+
+ operation = self.speech_client.long_running_recognize(
+ config=config_wav_enhanced,
+ audio=long_audi_wav
+ )
+ response = operation.result()
+ blob.delete()
+ return MessageToJson(response._pb)
+
+
+def process_single(record: Any):
+ print(record)
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ processor = GoogleCloudAsrProcessor('asr-benchmarks-data', storage.Client(), speech.SpeechClient(), 'pl-PL')
+ # file_path_temp = f'wav_tmp/{uuid.uuid4()}.wav'
+ # write(file_path_temp, record['audio']['sampling_rate'], record['audio']['array'])
+ # record_path = file_path_temp
+ record_path = record['path']
+ record_id = record_path.split('/')[-1]
+ result_path = f'{root_result_path}/{record_id}.json'
+ if not os.path.exists(result_path):
+ result = processor.process_file(record_path)
+ with open(result_path, 'w') as f:
+ f.write(result)
+ print(result)
+
+
+if __name__ == '__main__':
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ root_result_path = f'common_voice_9_0_google_asr'
+ if not os.path.exists(root_result_path):
+ os.mkdir(root_result_path)
+ dataset = load_dataset("mozilla-foundation/common_voice_9_0", "pl", use_auth_token=ACCESS_TOKEN)['test']
+ # dataset = load_dataset("google/fleurs", "pl_pl")
+ print(dataset)
+ Parallel(n_jobs=32)(delayed(process_single)(i) for i in dataset)
diff --git a/asr_responses_cache/google_cloud_processor_fleur.py b/asr_responses_cache/google_cloud_processor_fleur.py
new file mode 100644
index 0000000..de3f7cf
--- /dev/null
+++ b/asr_responses_cache/google_cloud_processor_fleur.py
@@ -0,0 +1,92 @@
+import datetime
+import os.path
+
+from datasets import load_dataset
+from google.cloud.speech_v1p1beta1 import RecognitionConfig
+from joblib import Parallel, delayed
+
+import json
+import uuid
+from pathlib import Path
+from typing import Any
+from google.protobuf.json_format import MessageToJson
+
+from google.cloud.storage import Blob
+import os
+from google.cloud import speech
+from google.cloud import storage
+from scipy.io.wavfile import write
+from experiment.luna.pipeline.dependency_provider import get_record_provider
+
+ACCESS_TOKEN = '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'
+
+
+class GoogleCloudAsrProcessor:
+ bucket_name: str
+ storage_client: storage.Client
+ speech_client: speech.SpeechClient
+ language_code: str
+
+ def __init__(
+ self,
+ bucket_name: str,
+ storage_client: storage.Client,
+ speech_client: speech.SpeechClient,
+ language_code: str
+ ):
+ self.speech_client = speech_client
+ self.storage_client = storage_client
+ self.bucket_name = bucket_name
+ self.language_code = language_code
+
+ def save_file_in_gcs(self, file_path: str) -> Blob:
+ bucket = self.storage_client.get_bucket(self.bucket_name)
+ blob = bucket.blob(f'{uuid.uuid4()}__{Path(file_path).name}')
+ blob.upload_from_filename(file_path)
+ return blob
+
+ def process_file(self, file_path: str) -> str:
+ blob = self.save_file_in_gcs(file_path)
+ uri = f'gs://{self.bucket_name}/{blob.name}'
+ long_audi_wav = speech.RecognitionAudio(uri=uri)
+ config_wav_enhanced = speech.RecognitionConfig(
+ enable_automatic_punctuation=True,
+ language_code=self.language_code,
+ use_enhanced=True,
+ enable_word_time_offsets=True,
+ # encoding=RecognitionConfig.AudioEncoding.,
+ # sample_rate_hertz=48000
+ )
+
+ operation = self.speech_client.long_running_recognize(
+ config=config_wav_enhanced,
+ audio=long_audi_wav
+ )
+ response = operation.result()
+ blob.delete()
+ return MessageToJson(response._pb)
+
+
+def process_single(path: Any):
+ print(path)
+ record_id = path.split('/')[-1]
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ processor = GoogleCloudAsrProcessor('asr-benchmarks-data', storage.Client(), speech.SpeechClient(), 'pl-PL')
+ record_path = path
+ result_path = f'{root_result_path}/{record_id}.json'
+ if not os.path.exists(result_path):
+ result = processor.process_file(record_path)
+ with open(result_path, 'w') as f:
+ f.write(result)
+ print(result)
+
+
+if __name__ == '__main__':
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ root_result_path = f'fleurs_google_asr'
+ if not os.path.exists(root_result_path):
+ os.mkdir(root_result_path)
+ # dataset = load_dataset("mozilla-foundation/common_voice_9_0", "pl", use_auth_token=ACCESS_TOKEN)['test']
+ # dataset = load_dataset("PolyAI/minds14", "pl-PL")['train']
+ Parallel(n_jobs=32)(delayed(process_single)(f'experiment_data/audio/fleurs_audio/{i}')
+ for i in os.listdir('experiment_data/audio/fleurs_audio'))
diff --git a/asr_responses_cache/google_cloud_processor_minds.py b/asr_responses_cache/google_cloud_processor_minds.py
new file mode 100644
index 0000000..63e9235
--- /dev/null
+++ b/asr_responses_cache/google_cloud_processor_minds.py
@@ -0,0 +1,95 @@
+import datetime
+import os.path
+
+from datasets import load_dataset
+from google.cloud.speech_v1p1beta1 import RecognitionConfig
+from joblib import Parallel, delayed
+
+import json
+import uuid
+from pathlib import Path
+from typing import Any
+from google.protobuf.json_format import MessageToJson
+
+from google.cloud.storage import Blob
+import os
+from google.cloud import speech
+from google.cloud import storage
+from scipy.io.wavfile import write
+from experiment.luna.pipeline.dependency_provider import get_record_provider
+
+ACCESS_TOKEN = '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'
+
+
+class GoogleCloudAsrProcessor:
+ bucket_name: str
+ storage_client: storage.Client
+ speech_client: speech.SpeechClient
+ language_code: str
+
+ def __init__(
+ self,
+ bucket_name: str,
+ storage_client: storage.Client,
+ speech_client: speech.SpeechClient,
+ language_code: str
+ ):
+ self.speech_client = speech_client
+ self.storage_client = storage_client
+ self.bucket_name = bucket_name
+ self.language_code = language_code
+
+ def save_file_in_gcs(self, file_path: str) -> Blob:
+ bucket = self.storage_client.get_bucket(self.bucket_name)
+ blob = bucket.blob(f'{uuid.uuid4()}__{Path(file_path).name}')
+ blob.upload_from_filename(file_path)
+ return blob
+
+ def process_file(self, file_path: str) -> str:
+ blob = self.save_file_in_gcs(file_path)
+ uri = f'gs://{self.bucket_name}/{blob.name}'
+ long_audi_wav = speech.RecognitionAudio(uri=uri)
+ config_wav_enhanced = speech.RecognitionConfig(
+ enable_automatic_punctuation=True,
+ language_code=self.language_code,
+ use_enhanced=True,
+ enable_word_time_offsets=True,
+ # encoding=RecognitionConfig.AudioEncoding.,
+ # sample_rate_hertz=48000
+ )
+
+ operation = self.speech_client.long_running_recognize(
+ config=config_wav_enhanced,
+ audio=long_audi_wav
+ )
+ response = operation.result()
+ blob.delete()
+ return MessageToJson(response._pb)
+
+
+def process_single(record: Any):
+ print(record)
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ processor = GoogleCloudAsrProcessor('asr-benchmarks-data', storage.Client(), speech.SpeechClient(), 'pl-PL')
+ # file_path_temp = f'wav_tmp/{uuid.uuid4()}.wav'
+ # write(file_path_temp, record['audio']['sampling_rate'], record['audio']['array'])
+ # record_path = file_path_temp
+ record_path = record['path']
+ record_id = '__'.join(record_path.split('/')[-2:])
+ result_path = f'{root_result_path}/{record_id}.json'
+ if not os.path.exists(result_path):
+ result = processor.process_file(record_path)
+ with open(result_path, 'w') as f:
+ f.write(result)
+ print(result)
+
+
+if __name__ == '__main__':
+ os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/home/marcinwatroba/PWR_ASR/asr-benchmarks/secret_key.json'
+ root_result_path = f'minds_google_asr'
+ if not os.path.exists(root_result_path):
+ os.mkdir(root_result_path)
+ # dataset = load_dataset("mozilla-foundation/common_voice_9_0", "pl", use_auth_token=ACCESS_TOKEN)['test']
+ dataset = load_dataset("PolyAI/minds14", "pl-PL")['train']
+ print(dataset)
+ Parallel(n_jobs=32)(delayed(process_single)(i) for i in dataset)
diff --git a/build_push_docker.sh b/build_push_docker.sh
new file mode 100755
index 0000000..512052a
--- /dev/null
+++ b/build_push_docker.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+docker build -t whisper-worker .
+docker tag whisper-worker gitlab.clarin-pl.eu:5050/markowanga/asr-benchmarks/whisper-worker:latest
+docker push gitlab.clarin-pl.eu:5050/markowanga/asr-benchmarks/whisper-worker:latest
diff --git a/cache_asr_scripts/import_from_google_responses.py b/cache_asr_scripts/import_from_google_responses.py
new file mode 100644
index 0000000..a6ef0c3
--- /dev/null
+++ b/cache_asr_scripts/import_from_google_responses.py
@@ -0,0 +1,30 @@
+import json
+import os
+from dataclasses import asdict
+from pprint import pprint
+
+from sziszapangma.integration.service_core.asr.asr_result import AsrResult
+
+RESPONSE_DIR = 'asr_responses_cache/common_voice_wav2vec2'
+RESULT_DIR = 'experiment_data/cached_asr/common_voice_wav2vec2'
+
+if __name__ == '__main__':
+ for file_name in os.listdir(RESPONSE_DIR):
+ print(file_name)
+ d = json.load(open(f'{RESPONSE_DIR}/{file_name}', 'r'))
+ if True:
+ # all_text = ' '.join([result['alternatives'][0]['transcript'] for result in d['results']
+ # if 'transcript' in result['alternatives'][0]])
+ # all_words = []
+ # for result in d['results']:
+ # if 'transcript' in result['alternatives'][0]:
+ # all_words.extend([it['word'] for it in result['alternatives'][0]['words']])
+ # r = {
+ # 'words_time_alignment': None,
+ # 'transcription': all_words,
+ # 'full_text': all_text
+ # }
+ json.dump(d, open(f'{RESULT_DIR}/{file_name}', 'w'))
+ else:
+ print(d)
+ print('err')
diff --git a/cache_asr_scripts/process_data.py b/cache_asr_scripts/process_data.py
new file mode 100644
index 0000000..bab15a3
--- /dev/null
+++ b/cache_asr_scripts/process_data.py
@@ -0,0 +1,23 @@
+import json
+from pathlib import Path
+
+
+def process_path(file: Path):
+ try:
+ data = json.load(open(file, 'r'))
+ data['transcription'] = [it['text'] for it in data['transcription']]
+ json.dump(data, open(file, 'w'))
+ except Exception as e:
+ print(e)
+
+
+def main():
+ root_path = Path('/home/marcinwatroba/PWR_ASR/asr-benchmarks'
+ '/experiment_data/cached_asr/pl_voicelab_cbiz/whisper_tiny__result')
+ paths = sorted(list(root_path.iterdir()))
+ for it in paths:
+ process_path(it)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/docker-compose.yaml b/docker-compose.yaml
new file mode 100644
index 0000000..07e9072
--- /dev/null
+++ b/docker-compose.yaml
@@ -0,0 +1,37 @@
+services:
+
+ whisper_worker_1:
+ image: gitlab.clarin-pl.eu:5050/markowanga/asr-benchmarks/whisper-worker:latest
+ command: poetry run python new_datasets/whisper_asr_runner.py
+ environment:
+ WHISPER_MODEL: 'base'
+ deploy:
+ resources:
+ reservations:
+ devices:
+ - driver: nvidia
+ capabilities: [ gpu ]
+
+ whisper_worker_2:
+ image: gitlab.clarin-pl.eu:5050/markowanga/asr-benchmarks/whisper-worker:latest
+ command: poetry run python new_datasets/whisper_asr_runner.py
+ environment:
+ WHISPER_MODEL: 'small'
+ deploy:
+ resources:
+ reservations:
+ devices:
+ - driver: nvidia
+ capabilities: [ gpu ]
+
+ whisper_worker_3:
+ image: gitlab.clarin-pl.eu:5050/markowanga/asr-benchmarks/whisper-worker:latest
+ command: poetry run python new_datasets/whisper_asr_runner.py
+ environment:
+ WHISPER_MODEL: 'tiny'
+ deploy:
+ resources:
+ reservations:
+ devices:
+ - driver: nvidia
+ capabilities: [ gpu ]
diff --git a/docs/Makefile b/docs/Makefile
deleted file mode 100644
index 21df5f5..0000000
--- a/docs/Makefile
+++ /dev/null
@@ -1,20 +0,0 @@
-# Minimal makefile for Sphinx documentation
-#
-
-# You can set these variables from the command line.
-SPHINXOPTS =
-SPHINXBUILD = python -msphinx
-SPHINXPROJ = sziszapangma
-SOURCEDIR = .
-BUILDDIR = _build
-
-# Put it first so that "make" without argument is like "make help".
-help:
- @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
-.PHONY: help Makefile
-
-# Catch-all target: route all unknown targets to Sphinx using the new
-# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
-%: Makefile
- @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/docs/authors.rst b/docs/authors.rst
deleted file mode 100644
index e122f91..0000000
--- a/docs/authors.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../AUTHORS.rst
diff --git a/docs/conf.py b/docs/conf.py
deleted file mode 100644
index b16dce0..0000000
--- a/docs/conf.py
+++ /dev/null
@@ -1,154 +0,0 @@
-#!/usr/bin/env python
-#
-# sziszapangma documentation build configuration file, created by
-# sphinx-quickstart on Fri Jun 9 13:47:02 2017.
-#
-# This file is execfile()d with the current directory set to its
-# containing dir.
-#
-# Note that not all possible configuration values are present in this
-# autogenerated file.
-#
-# All configuration values have a default; values that are commented out
-# serve to show the default.
-
-# If extensions (or modules to document with autodoc) are in another
-# directory, add these directories to sys.path here. If the directory is
-# relative to the documentation root, use os.path.abspath to make it
-# absolute, like shown here.
-#
-import os
-import sys
-
-sys.path.insert(0, os.path.abspath(".."))
-
-import sziszapangma
-
-# -- General configuration ---------------------------------------------
-
-# If your documentation needs a minimal Sphinx version, state it here.
-#
-# needs_sphinx = '1.0'
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ["sphinx.ext.autodoc", "sphinx.ext.viewcode"]
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ["_templates"]
-
-# The suffix(es) of source filenames.
-# You can specify multiple suffix as a list of string:
-#
-# source_suffix = ['.rst', '.md']
-source_suffix = ".rst"
-
-# The master toctree document.
-master_doc = "index"
-
-# General information about the project.
-project = "sziszapangma"
-copyright = "2021, Piotr Szymański"
-author = "Piotr Szymański"
-
-# The version info for the project you're documenting, acts as replacement
-# for |version| and |release|, also used in various other places throughout
-# the built documents.
-#
-# The short X.Y version.
-version = sziszapangma.__version__
-# The full version, including alpha/beta/rc tags.
-release = sziszapangma.__version__
-
-# The language for content autogenerated by Sphinx. Refer to documentation
-# for a list of supported languages.
-#
-# This is also used if you do content translation via gettext catalogs.
-# Usually you set "language" from the command line for these cases.
-language = None
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-# This patterns also effect to html_static_path and html_extra_path
-exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
-
-# The name of the Pygments (syntax highlighting) style to use.
-pygments_style = "sphinx"
-
-# If true, `todo` and `todoList` produce output, else they produce nothing.
-todo_include_todos = False
-
-
-# -- Options for HTML output -------------------------------------------
-
-# The theme to use for HTML and HTML Help pages. See the documentation for
-# a list of builtin themes.
-#
-html_theme = "alabaster"
-
-# Theme options are theme-specific and customize the look and feel of a
-# theme further. For a list of options available for each theme, see the
-# documentation.
-#
-# html_theme_options = {}
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ["_static"]
-
-
-# -- Options for HTMLHelp output ---------------------------------------
-
-# Output file base name for HTML help builder.
-htmlhelp_basename = "sziszapangmadoc"
-
-
-# -- Options for LaTeX output ------------------------------------------
-
-latex_elements = {
- # The paper size ('letterpaper' or 'a4paper').
- #
- # 'papersize': 'letterpaper',
- # The font size ('10pt', '11pt' or '12pt').
- #
- # 'pointsize': '10pt',
- # Additional stuff for the LaTeX preamble.
- #
- # 'preamble': '',
- # Latex figure (float) alignment
- #
- # 'figure_align': 'htbp',
-}
-
-# Grouping the document tree into LaTeX files. List of tuples
-# (source start file, target name, title, author, documentclass
-# [howto, manual, or own class]).
-latex_documents = [
- (master_doc, "sziszapangma.tex", "sziszapangma Documentation", "Piotr Szymański", "manual"),
-]
-
-
-# -- Options for manual page output ------------------------------------
-
-# One entry per manual page. List of tuples
-# (source start file, name, description, authors, manual section).
-man_pages = [(master_doc, "sziszapangma", "sziszapangma Documentation", [author], 1)]
-
-
-# -- Options for Texinfo output ----------------------------------------
-
-# Grouping the document tree into Texinfo files. List of tuples
-# (source start file, target name, title, author,
-# dir menu entry, description, category)
-texinfo_documents = [
- (
- master_doc,
- "sziszapangma",
- "sziszapangma Documentation",
- author,
- "sziszapangma",
- "One line description of project.",
- "Miscellaneous",
- ),
-]
diff --git a/docs/contributing.rst b/docs/contributing.rst
deleted file mode 100644
index e582053..0000000
--- a/docs/contributing.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../CONTRIBUTING.rst
diff --git a/docs/history.rst b/docs/history.rst
deleted file mode 100644
index 2506499..0000000
--- a/docs/history.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../HISTORY.rst
diff --git a/docs/index.rst b/docs/index.rst
deleted file mode 100644
index 87a2544..0000000
--- a/docs/index.rst
+++ /dev/null
@@ -1,20 +0,0 @@
-Welcome to sziszapangma's documentation!
-======================================
-
-.. toctree::
- :maxdepth: 2
- :caption: Contents:
-
- readme
- installation
- usage
- modules
- contributing
- authors
- history
-
-Indices and tables
-==================
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
diff --git a/docs/installation.rst b/docs/installation.rst
deleted file mode 100644
index c950816..0000000
--- a/docs/installation.rst
+++ /dev/null
@@ -1,51 +0,0 @@
-.. highlight:: shell
-
-============
-Installation
-============
-
-
-Stable release
---------------
-
-To install sziszapangma, run this command in your terminal:
-
-.. code-block:: console
-
- $ pip install sziszapangma
-
-This is the preferred method to install sziszapangma, as it will always install the most recent stable release.
-
-If you don't have `pip`_ installed, this `Python installation guide`_ can guide
-you through the process.
-
-.. _pip: https://pip.pypa.io
-.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/
-
-
-From sources
-------------
-
-The sources for sziszapangma can be downloaded from the `Github repo`_.
-
-You can either clone the public repository:
-
-.. code-block:: console
-
- $ git clone git://github.com/niedakh/sziszapangma
-
-Or download the `tarball`_:
-
-.. code-block:: console
-
- $ curl -OJL https://github.com/niedakh/sziszapangma/tarball/master
-
-Once you have a copy of the source, you can install it with:
-
-.. code-block:: console
-
- $ python setup.py install
-
-
-.. _Github repo: https://github.com/niedakh/sziszapangma
-.. _tarball: https://github.com/niedakh/sziszapangma/tarball/master
diff --git a/docs/make.bat b/docs/make.bat
deleted file mode 100644
index f55a107..0000000
--- a/docs/make.bat
+++ /dev/null
@@ -1,36 +0,0 @@
-@ECHO OFF
-
-pushd %~dp0
-
-REM Command file for Sphinx documentation
-
-if "%SPHINXBUILD%" == "" (
- set SPHINXBUILD=python -msphinx
-)
-set SOURCEDIR=.
-set BUILDDIR=_build
-set SPHINXPROJ=sziszapangma
-
-if "%1" == "" goto help
-
-%SPHINXBUILD% >NUL 2>NUL
-if errorlevel 9009 (
- echo.
- echo.The Sphinx module was not found. Make sure you have Sphinx installed,
- echo.then set the SPHINXBUILD environment variable to point to the full
- echo.path of the 'sphinx-build' executable. Alternatively you may add the
- echo.Sphinx directory to PATH.
- echo.
- echo.If you don't have Sphinx installed, grab it from
- echo.http://sphinx-doc.org/
- exit /b 1
-)
-
-%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
-goto end
-
-:help
-%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
-
-:end
-popd
diff --git a/docs/readme.rst b/docs/readme.rst
deleted file mode 100644
index 72a3355..0000000
--- a/docs/readme.rst
+++ /dev/null
@@ -1 +0,0 @@
-.. include:: ../README.rst
diff --git a/docs/usage.rst b/docs/usage.rst
deleted file mode 100644
index 99f0fff..0000000
--- a/docs/usage.rst
+++ /dev/null
@@ -1,7 +0,0 @@
-=====
-Usage
-=====
-
-To use sziszapangma in a project::
-
- import sziszapangma
diff --git a/example.py b/example.py
deleted file mode 100644
index a7c474a..0000000
--- a/example.py
+++ /dev/null
@@ -1,7 +0,0 @@
-import argparse
-
-if __name__ == '__main__':
- parser = argparse.ArgumentParser()
- parser.add_argument("--echo", help="echo the string you use here")
- args = parser.parse_args()
- print(args.echo)
diff --git a/new_datasets/__init__.py b/new_datasets/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/new_datasets/add_asr_to_queue.py b/new_datasets/add_asr_to_queue.py
new file mode 100644
index 0000000..ab67863
--- /dev/null
+++ b/new_datasets/add_asr_to_queue.py
@@ -0,0 +1,57 @@
+import datetime
+import json
+from typing import List
+
+import pika
+from minio import Minio
+from pika.adapters.blocking_connection import BlockingChannel
+
+
+def get_all_datasets() -> List[str]:
+ return [it.object_name[:-1] for it in get_minio_client().list_objects('dataset-audio', '')]
+
+
+def get_dataset_items_id(dataset_name: str) -> List[str]:
+ return [it.object_name.split('/')[-1].split('.')[0] for it in
+ get_minio_client().list_objects('dataset-audio', f'{dataset_name}/')]
+
+
+def get_minio_client() -> Minio:
+ return Minio('minio-asr-benchmarks.theliver.pl', 'minio_user', 'eUxzEQbyYPdzrLxuvvethSbk18kB2s7G')
+
+
+def add_to_queue(dataset: str, asr_name: str, item_id: str, channel: BlockingChannel):
+ queue_name = f'asr__{asr_name}'
+ message_dict = {'dataset': dataset, 'item_id': item_id}
+ print(datetime.datetime.now().isoformat(), f'{queue_name} {message_dict}')
+ message_bytes = json.dumps(message_dict).encode('utf-8')
+ channel.queue_declare(queue=queue_name, durable=True)
+ channel.basic_publish(exchange='', routing_key=queue_name, body=message_bytes, properties=pika.BasicProperties(
+ delivery_mode=pika.spec.PERSISTENT_DELIVERY_MODE
+ ))
+
+
+def add_whisper(channel: BlockingChannel):
+ whisper_asr_variant_list = [
+ # 'tiny',
+ # 'base',
+ 'small', 'medium', 'large-v2'
+ ]
+ for whisper_variant in whisper_asr_variant_list:
+ asr_name = f'whisper_{whisper_variant}'
+ for dataset in get_all_datasets():
+ for item_id in get_dataset_items_id(dataset):
+ add_to_queue(dataset, asr_name, item_id, channel)
+
+
+def main():
+ parameters = pika.URLParameters(
+ 'amqps://rabbit_user:kz6m4972OUHFmtUcPOHx4kF3Lj6yw7lo@rabbit-asr-benchmarks.theliver.pl:5671/')
+ connection = pika.BlockingConnection(parameters=parameters)
+ channel = connection.channel()
+ add_whisper(channel)
+ connection.close()
+
+
+if __name__ == '__main__':
+ main()
diff --git a/new_datasets/import_datasets/__init__.py b/new_datasets/import_datasets/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/new_datasets/import_datasets/upload_audio.py b/new_datasets/import_datasets/upload_audio.py
new file mode 100644
index 0000000..3eb99bc
--- /dev/null
+++ b/new_datasets/import_datasets/upload_audio.py
@@ -0,0 +1,100 @@
+import datetime
+
+import numpy as np
+import scipy
+from datasets import load_dataset
+from minio import Minio
+from hashlib import sha1
+
+_TEMP_WAV_FILE = '_temp_file.wav'
+
+def process_numpy_array_to_md5_hash(array: np.ndarray) -> str:
+ return sha1(array).hexdigest()
+
+
+def save_arr(data: np.ndarray):
+ scipy.io.wavfile.write(_TEMP_WAV_FILE, 48000, data)
+
+
+def get_minio_client() -> Minio:
+ return Minio('minio-asr-benchmarks.theliver.pl', 'minio_user', 'eUxzEQbyYPdzrLxuvvethSbk18kB2s7G')
+
+
+def upload_single_commonvoice(lang: str, dataset_app_name: str):
+ ds = load_dataset("mozilla-foundation/common_voice_11_0", lang)
+ ds = ds['test']
+ minio = get_minio_client()
+ index = 1
+ print(ds[0])
+ for it in ds:
+ save_arr(it['audio']['array'])
+ item_id = process_numpy_array_to_md5_hash(it['audio']['array'])
+ print(datetime.datetime.now().isoformat(), f'{index} / {len(ds)} {item_id}')
+ minio.put_object('dataset-audio', f'{dataset_app_name}/{item_id}.wav', open(_TEMP_WAV_FILE, 'rb'),
+ len(open(_TEMP_WAV_FILE, 'rb').read()))
+ index += 1
+
+
+def upload_fleurs_dataset(hf_name: str, hf_lang: str, app_name: str):
+ fleurs_asr = load_dataset(hf_name, hf_lang)
+ ds = fleurs_asr['test']
+ minio = get_minio_client()
+ index = 1
+ print(ds[0])
+ for it in ds:
+ item_id = it["id"]
+ print(datetime.datetime.now().isoformat(), f'{index} / {len(ds)} {item_id}')
+ data = open(it['path'], 'rb').read()
+ minio.put_object('dataset-audio', f'{app_name}/{it["id"]}.wav', open(it['path'], 'rb'), len(data))
+ index += 1
+
+
+def upload_minds_dataset(hf_lang: str, app_name: str):
+ minds = load_dataset('PolyAI/minds14', hf_lang)
+ ds = minds['train']
+ minio = get_minio_client()
+ index = 1
+ print(minds)
+ print(ds[0])
+ for it in ds:
+ data = open(it['path'], 'rb').read()
+ item_id = process_numpy_array_to_md5_hash(it['audio']['array'])
+ print(datetime.datetime.now().isoformat(), f'{index} / {len(ds)} {item_id}')
+ minio.put_object('dataset-audio', f'{app_name}/{item_id}.wav', open(it['path'], 'rb'), len(data))
+ index += 1
+
+
+# def upload_fleurs():
+# upload_fleurs_dataset('google/fleurs', 'nl_nl', 'nl_google_fleurs')
+# upload_fleurs_dataset('google/fleurs', 'fr_fr', 'fr_google_fleurs')
+# upload_fleurs_dataset('google/fleurs', 'de_de', 'de_google_fleurs')
+# upload_fleurs_dataset('google/fleurs', 'it_it', 'it_google_fleurs')
+# upload_fleurs_dataset('google/fleurs', 'pl_pl', 'pl_google_fleurs')
+# upload_fleurs_dataset('google/fleurs', 'es_419', 'es_google_fleurs')
+# upload_fleurs_dataset('google/fleurs', 'en_us', 'en_google_fleurs')
+
+
+def upload_minds():
+ # upload_minds_dataset('nl-NL', 'nl_minds14')
+ # upload_minds_dataset('fr-FR', 'fr_minds14')
+ # upload_minds_dataset('de-DE', 'de_minds14')
+ # upload_minds_dataset('it-IT', 'it_minds14')
+ # upload_minds_dataset('pl-PL', 'pl_minds14')
+ upload_minds_dataset('es-ES', 'es_minds14')
+ upload_minds_dataset('en-US', 'en_minds14')
+
+
+def upload_common_voice():
+ upload_single_commonvoice('nl', 'nl_common_voice')
+ upload_single_commonvoice('fr', 'fr_common_voice')
+ upload_single_commonvoice('de', 'de_common_voice')
+ upload_single_commonvoice('it', 'it_common_voice')
+ upload_single_commonvoice('pl', 'pl_common_voice')
+ upload_single_commonvoice('es', 'es_common_voice')
+ upload_single_commonvoice('en', 'en_common_voice')
+
+
+if __name__ == '__main__':
+ # upload_fleurs()
+ upload_minds()
+ # upload_common_voice()
diff --git a/new_datasets/import_gold_trnascrpt_mls.py b/new_datasets/import_gold_trnascrpt_mls.py
new file mode 100644
index 0000000..344022a
--- /dev/null
+++ b/new_datasets/import_gold_trnascrpt_mls.py
@@ -0,0 +1,30 @@
+import json
+from pprint import pprint
+from typing import List
+
+from nltk.tokenize import RegexpTokenizer
+
+from sziszapangma.model.model import Word
+from sziszapangma.model.model_creators import create_new_word
+
+
+def remove_interpunction(text: str) -> List[str]:
+ tokenizer = RegexpTokenizer(r'\w+')
+ return tokenizer.tokenize(text)
+
+
+def import_mls():
+
+ for it in ['de', 'en', 'es', 'fr', 'nl', 'pl']:
+ with open(f'mls/cache_items_{it}_voxpopuli.jsonl', 'r') as f:
+ for line in f.read().splitlines(keepends=False):
+ it_dict = json.loads(line)
+ text = it_dict['normalized_text']
+ tokens = remove_interpunction(text)
+ words = [create_new_word(it) for it in tokens]
+ pprint(it_dict)
+ print(words)
+
+
+if __name__ == '__main__':
+ import_mls()
diff --git a/new_datasets/whisper_asr_runner.py b/new_datasets/whisper_asr_runner.py
new file mode 100644
index 0000000..9f3bd14
--- /dev/null
+++ b/new_datasets/whisper_asr_runner.py
@@ -0,0 +1,79 @@
+import json
+import os
+import uuid
+
+import pika
+from minio import Minio
+from pymongo import MongoClient
+from urllib3 import HTTPResponse
+
+from new_datasets.whisper_processor import WhisperAsrProcessor
+from sziszapangma.integration.repository.mongo_experiment_repository import MongoExperimentRepository
+
+
+def get_param(name: str, default: str) -> str:
+ return os.environ[name] if name in os.environ else default
+
+
+_MINIO_HOST = get_param('MINIO_HOST', 'minio-asr-benchmarks.theliver.pl')
+_MINIO_USER = get_param('MINIO_USER', 'minio_user')
+_MINIO_PASSWORD = get_param('MINIO_PASSWORD', 'eUxzEQbyYPdzrLxuvvethSbk18kB2s7G')
+_MONGO_URL = get_param('MONGO_URL', 'mongodb://root:example@mongo-asr-benchmarks.theliver.pl:27021/')
+_RABBIT_URL = get_param('RABBIT_URL',
+ 'amqps://rabbit_user:kz6m4972OUHFmtUcPOHx4kF3Lj6yw7lo@rabbit-asr-benchmarks.theliver.pl:5671/')
+_WHISPER_MODEL = get_param('WHISPER_MODEL', 'small')
+_TEMP_WAV = f'{uuid.uuid4()}_temp.wav'
+
+
+def get_minio_client() -> Minio:
+ return Minio(_MINIO_HOST, _MINIO_USER, _MINIO_PASSWORD)
+
+
+def download_file(dataset_name: str, item_id: str):
+ response: HTTPResponse = get_minio_client().get_object('dataset-audio', f'{dataset_name}/{item_id}.wav')
+ with open(_TEMP_WAV, 'wb') as f:
+ f.write(response.data)
+
+
+def get_experiment_repo(dataset_name: str) -> MongoExperimentRepository:
+ mongo = MongoClient(_MONGO_URL, ssl=True)
+ return MongoExperimentRepository(mongo_client=mongo, database_name=dataset_name)
+
+
+def main():
+ parameters = pika.URLParameters(_RABBIT_URL)
+ connection = pika.BlockingConnection(parameters=parameters)
+ channel = connection.channel()
+ channel.basic_qos(prefetch_count=1)
+
+ queue_name = f'asr__whisper_{_WHISPER_MODEL}'
+ whisper_processor = WhisperAsrProcessor(_WHISPER_MODEL)
+ for method_frame, properties, body in channel.consume(queue_name):
+ print(method_frame, properties, body)
+ message_dict = json.loads(body.decode('utf-8'))
+ print(message_dict)
+ experiment_repository = get_experiment_repo(message_dict['dataset'])
+ record_id = message_dict['item_id']
+ dataset = message_dict['dataset']
+ exp_property = f'whisper_{_WHISPER_MODEL}__result'
+ if not experiment_repository.property_exists(record_id, exp_property):
+ download_file(dataset_name=dataset, item_id=record_id)
+ asr_result = whisper_processor.call_recognise(_TEMP_WAV)
+ print(asr_result)
+ print(asr_result['full_text'])
+ exp_property = f'whisper_{_WHISPER_MODEL}__result'
+ experiment_repository.update_property_for_key(record_id=record_id,
+ property_name=exp_property,
+ property_value=asr_result)
+ else:
+ print('skip', experiment_repository.get_property_for_key(record_id, exp_property))
+ channel.basic_ack(method_frame.delivery_tag)
+ print('\n########################################################\n')
+
+ requeued_messages = channel.cancel()
+ print('Requeued %i messages' % requeued_messages)
+ connection.close()
+
+
+if __name__ == '__main__':
+ main()
diff --git a/new_datasets/whisper_processor.py b/new_datasets/whisper_processor.py
new file mode 100644
index 0000000..3c9835d
--- /dev/null
+++ b/new_datasets/whisper_processor.py
@@ -0,0 +1,24 @@
+from typing import Dict, Any
+
+import whisper
+from whisper import Whisper
+
+from sziszapangma.model.model_creators import create_new_word
+
+
+class WhisperAsrProcessor:
+ _whisper: Whisper
+
+ def __init__(self, model_name: str):
+ self._whisper = whisper.load_model(model_name, in_memory=True)
+ print(self._whisper.device)
+
+ def call_recognise(self, file_path: str) -> Dict[str, Any]:
+ result = self._whisper.transcribe(file_path)
+ return {
+ "transcription": [create_new_word(it) for it in result['text'].split()],
+ "full_text": result['text'],
+ "words_time_alignment": None,
+ "language": result['language'],
+ "segments": result['segments']
+ }
diff --git a/new_experiment/__init__.py b/new_experiment/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/new_experiment/pipeline/__init__.py b/new_experiment/pipeline/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/new_experiment/utils/__init__.py b/new_experiment/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/new_experiment/utils/property_helper.py b/new_experiment/utils/property_helper.py
new file mode 100644
index 0000000..7cff60d
--- /dev/null
+++ b/new_experiment/utils/property_helper.py
@@ -0,0 +1,53 @@
+class PropertyHelper:
+
+ @staticmethod
+ def get_gold_transcript() -> str:
+ return 'gold_transcript'
+
+ @staticmethod
+ def get_gold_transcript_raw() -> str:
+ return 'gold_transcript_raw'
+
+ @staticmethod
+ def asr_result(asr_name: str) -> str:
+ return f'{asr_name}__result'
+
+ @staticmethod
+ def pos_alignment(asr_name: str, model_name: str) -> str:
+ return f'{asr_name}__{model_name}_pos_alignment'
+
+ @staticmethod
+ def pos_metrics(asr_name: str, model_name: str) -> str:
+ return f'{asr_name}__{model_name}_pos_metrics'
+
+ @staticmethod
+ def dep_tag_alignment(asr_name: str, model_name: str) -> str:
+ return f'{asr_name}__{model_name}_dep_tag_alignment'
+
+ @staticmethod
+ def dep_tag_metrics(asr_name: str, model_name: str) -> str:
+ return f'{asr_name}__{model_name}_dep_tag_metrics'
+
+ @staticmethod
+ def ner_alignment(asr_name: str, model_name: str) -> str:
+ return f'{asr_name}__{model_name}_ner_alignment'
+
+ @staticmethod
+ def ner_metrics(asr_name: str, model_name: str) -> str:
+ return f'{asr_name}__{model_name}_ner_metrics'
+
+ @staticmethod
+ def word_wer_classic_alignment(asr_name: str) -> str:
+ return f'{asr_name}__word_wer_classic_alignment'
+
+ @staticmethod
+ def word_wer_classic_metrics(asr_name: str) -> str:
+ return f'{asr_name}__word_wer_classic_metrics'
+
+ @staticmethod
+ def word_wer_embeddings_alignment(asr_name: str) -> str:
+ return f'{asr_name}__word_wer_embeddings_alignment'
+
+ @staticmethod
+ def word_wer_embeddings_metrics(asr_name: str) -> str:
+ return f'{asr_name}__word_wer_embeddings_metrics'
diff --git a/poetry.lock b/poetry.lock
index 49ce58c..bd253e1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,14 +2,14 @@
[[package]]
name = "aiobotocore"
-version = "2.4.1"
+version = "2.4.2"
description = "Async client for aws services using botocore and aiohttp"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
- {file = "aiobotocore-2.4.1-py3-none-any.whl", hash = "sha256:26e0d55d5901f487c3467616c028abb85036ca33a0f88e279770adae6b865c69"},
- {file = "aiobotocore-2.4.1.tar.gz", hash = "sha256:5c8ee79d1f14273e3f8f3af5c893db889ef163227b178ecacb5aea4547d3b9a7"},
+ {file = "aiobotocore-2.4.2-py3-none-any.whl", hash = "sha256:4acd1ebe2e44be4b100aa553910bda899f6dc090b3da2bc1cf3d5de2146ed208"},
+ {file = "aiobotocore-2.4.2.tar.gz", hash = "sha256:0603b74a582dffa7511ce7548d07dc9b10ec87bc5fb657eb0b34f9bd490958bf"},
]
[package.dependencies]
@@ -229,14 +229,14 @@ files = [
[[package]]
name = "asyncssh"
-version = "2.12.0"
+version = "2.13.0"
description = "AsyncSSH: Asynchronous SSHv2 client and server library"
category = "main"
optional = false
python-versions = ">= 3.6"
files = [
- {file = "asyncssh-2.12.0-py3-none-any.whl", hash = "sha256:6841c4242c606fd51188c974ec2f4887efeec67ecdfa5b84140711dacd985ab3"},
- {file = "asyncssh-2.12.0.tar.gz", hash = "sha256:274101322c4b941823aeed8e1ab6e7be5191686c6db2d2bd35afeba30505e780"},
+ {file = "asyncssh-2.13.0-py3-none-any.whl", hash = "sha256:d81955bd6c54862926baed3bc2ed8b525cc533855c552c7cc2655423a9ba742d"},
+ {file = "asyncssh-2.13.0.tar.gz", hash = "sha256:be7e1cb47225dc9899e56472fdc4daac03584a6843675329c0ce67179cb20e29"},
]
[package.dependencies]
@@ -869,47 +869,44 @@ test-no-codebase = ["Pillow", "matplotlib", "pytest"]
[[package]]
name = "cryptography"
-version = "38.0.4"
+version = "39.0.0"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
category = "main"
optional = false
python-versions = ">=3.6"
files = [
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]
[package.dependencies]
cffi = ">=1.12"
[package.extras]
-docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"]
+docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1,!=5.2.0,!=5.2.0.post0)", "sphinx-rtd-theme"]
docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
-pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"]
+pep8test = ["black", "ruff"]
sdist = ["setuptools-rust (>=0.11.4)"]
ssh = ["bcrypt (>=3.1.5)"]
test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"]
@@ -1210,14 +1207,14 @@ pgp = ["gpg"]
[[package]]
name = "dvc"
-version = "2.38.1"
+version = "2.39.0"
description = "Git for data scientists - manage your code and data together"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-2.38.1-py3-none-any.whl", hash = "sha256:f14f0080d5e312eef27863cc2fe082e365bf34e1d1757195c3ca808e8f74fe66"},
- {file = "dvc-2.38.1.tar.gz", hash = "sha256:88dffe61d4d376d28d5dbd2cb1193782ad640d610fae5169871927b54d828af5"},
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+ {file = "dvc-2.39.0.tar.gz", hash = "sha256:efb00f96b296446c951107d4d82a2fb0b5be4c457d3c9f2d285fbcbf1f7be266"},
]
[package.dependencies]
@@ -1226,11 +1223,12 @@ colorama = ">=0.3.9"
configobj = ">=5.0.6"
distro = ">=1.3.0"
dpath = ">=2.0.2,<3"
-dvc-data = "0.28.4"
-dvc-http = "2.27.2"
-dvc-render = "0.0.15"
+dvc-data = "0.28.5"
+dvc-http = "*"
+dvc-render = "0.0.17"
dvc-s3 = {version = "2.21.0", optional = true, markers = "extra == \"s3\""}
-dvc-task = "0.1.8"
+dvc-studio-client = ">=0.1.1"
+dvc-task = "0.1.9"
dvclive = ">=1.2.2"
flatten-dict = ">=0.4.1,<1"
"flufl.lock" = ">=5"
@@ -1249,7 +1247,7 @@ pyparsing = ">=2.4.7"
requests = ">=2.22.0"
rich = ">=10.13.0"
"ruamel.yaml" = ">=0.17.11"
-scmrepo = "0.1.4"
+scmrepo = "0.1.5"
shortuuid = ">=0.5.0"
shtab = ">=1.3.4,<2"
tabulate = ">=0.8.7"
@@ -1272,21 +1270,21 @@ ssh = ["dvc-ssh (==2.20.0)"]
ssh-gssapi = ["dvc-ssh[gssapi] (==2.20.0)"]
terraform = ["tpi[ssh] (>=2.1.0)"]
testing = ["pytest-test-utils (==0.0.8)"]
-tests = ["beautifulsoup4 (==4.11.1)", "dvc-ssh (==2.20.0)", "filelock (==3.8.2)", "flaky (==3.7.0)", "mypy (==0.990)", "pylint (==2.15.8)", "pylint-plugin-utils (==0.7)", "pylint-pytest (==1.1.2)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-docker (==0.11.0)", "pytest-lazy-fixture (==0.6.3)", "pytest-mock (==3.10.0)", "pytest-test-utils (==0.0.8)", "pytest-timeout (==2.1.0)", "pytest-xdist (==3.1.0)", "pywin32 (>=225)", "tpi[ssh] (>=2.1.0)", "types-requests", "types-tabulate", "types-toml"]
+tests = ["beautifulsoup4 (==4.11.1)", "dvc-ssh (==2.20.0)", "filelock (==3.9.0)", "flaky (==3.7.0)", "mypy (==0.991)", "pylint (==2.15.9)", "pylint-plugin-utils (==0.7)", "pylint-pytest (==1.1.2)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-docker (==0.11.0)", "pytest-lazy-fixture (==0.6.3)", "pytest-mock (==3.10.0)", "pytest-test-utils (==0.0.8)", "pytest-timeout (==2.1.0)", "pytest-xdist (==3.1.0)", "pywin32 (>=225)", "tpi[ssh] (>=2.1.0)", "types-requests", "types-tabulate", "types-toml"]
webdav = ["dvc-webdav (==2.19.0)"]
webhdfs = ["dvc-webhdfs (==2.19.0)"]
webhdfs-kerberos = ["dvc-webhdfs[kerberos] (==2.19.0)"]
[[package]]
name = "dvc-data"
-version = "0.28.4"
+version = "0.28.5"
description = "dvc data"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-data-0.28.4.tar.gz", hash = "sha256:81a508af473c0a407ef56e1c99caf3a7c37badb2d3d2396fa5b6d004b1208a35"},
- {file = "dvc_data-0.28.4-py3-none-any.whl", hash = "sha256:ea4f6f5417bac7ba339c43e1abbee6fbd5bc799add457db959ffe5c69c7a339d"},
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]
[package.dependencies]
@@ -1307,14 +1305,14 @@ tests = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-benc
[[package]]
name = "dvc-http"
-version = "2.27.2"
+version = "2.30.0"
description = "http plugin for dvc"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-http-2.27.2.tar.gz", hash = "sha256:242bed287ba1055b7a59eb7931023f2b617b8e670330fbee52312d7b31eb4b44"},
- {file = "dvc_http-2.27.2-py3-none-any.whl", hash = "sha256:58da8d1877bdc6db559d3c64f3ce304c30518dc85e5df29814fe7e56a7e72d5f"},
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]
[package.dependencies]
@@ -1323,7 +1321,7 @@ dvc = "*"
fsspec = {version = "*", extras = ["http"]}
[package.extras]
-tests = ["Pygments (==2.10.0)", "collective.checkdocs (==0.2)", "crc32c (==2.2.post0)", "dvc[testing]", "filelock (==3.3.2)", "flaky (==3.7.0)", "mock (==4.0.3)", "mypy (==0.910)", "pydocstyle (==6.1.1)", "pylint (==2.11.1)", "pylint-plugin-utils (==0.6)", "pylint-pytest (==1.1.2)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)", "pytest-docker (==0.10.3)", "pytest-lazy-fixture (==0.6.3)", "pytest-mock (==3.6.1)", "pytest-xdist (==2.4.0)", "pywin32 (>=225)", "rangehttpserver (==1.2.0)", "types-requests (==2.25.11)", "types-tabulate (==0.8.3)", "types-toml (==0.10.1)", "wget (==3.2)", "wheel (==0.37.0)", "wsgidav (==3.1.1)", "xmltodict (==0.12.0)"]
+tests = ["dvc[testing]", "flaky (==3.7.0)", "mypy (==0.910)", "pylint (==2.15.9)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)", "pytest-mock (==3.6.1)", "pytest-xdist (==2.4.0)", "rangehttpserver (==1.2.0)", "types-requests (==2.25.11)"]
[[package]]
name = "dvc-objects"
@@ -1350,14 +1348,14 @@ tests = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov
[[package]]
name = "dvc-render"
-version = "0.0.15"
+version = "0.0.17"
description = "DVC render"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
- {file = "dvc-render-0.0.15.tar.gz", hash = "sha256:bc1a02a2690c9641113be6fb59fb78fea485c7203a9c75d57220ca1e60e99b60"},
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]
[package.dependencies]
@@ -1391,16 +1389,38 @@ s3fs = ">=2022.02.0"
[package.extras]
tests = ["Pygments (==2.10.0)", "collective.checkdocs (==0.2)", "dvc[testing]", "filelock (==3.3.2)", "flaky (==3.7.0)", "mock (==4.0.3)", "mypy (==0.910)", "pydocstyle (==6.1.1)", "pylint (==2.11.1)", "pylint-plugin-utils (==0.6)", "pylint-pytest (==1.1.2)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)", "pytest-docker (==0.10.3)", "pytest-lazy-fixture (==0.6.3)", "pytest-mock (==3.6.1)", "pytest-xdist (==2.4.0)", "pywin32 (>=225)", "types-requests (==2.25.11)", "types-tabulate (==0.8.3)", "types-toml (==0.10.1)", "wget (==3.2)", "wheel (==0.37.0)", "xmltodict (==0.12.0)"]
+[[package]]
+name = "dvc-studio-client"
+version = "0.3.0"
+description = "Small library to post data from DVC/DVCLive to Iterative Studio"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+gitpython = "*"
+requests = "*"
+voluptuous = "*"
+
+[package.extras]
+dev = ["mkdocs (==1.3.1)", "mkdocs-gen-files (==0.3.5)", "mkdocs-material (==8.4.1)", "mkdocs-section-index (==0.3.4)", "mkdocstrings-python (==0.7.1)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)"]
+docs = ["mkdocs (==1.3.1)", "mkdocs-gen-files (==0.3.5)", "mkdocs-material (==8.4.1)", "mkdocs-section-index (==0.3.4)", "mkdocstrings-python (==0.7.1)"]
+tests = ["pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)"]
+
[[package]]
name = "dvc-task"
-version = "0.1.8"
+version = "0.1.9"
description = "Extensible task queue used in DVC."
category = "main"
optional = false
python-versions = ">=3.8"
files = [
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@@ -1417,46 +1437,49 @@ tests = ["celery-types (>=0.11.0)", "flaky (==3.7.0)", "mypy (==0.971)", "pylint
[[package]]
name = "dvclive"
-version = "1.2.2"
+version = "1.3.2"
description = "Metric logger for ML projects."
category = "main"
optional = false
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
dvc-render = {version = ">=0.0.12", extras = ["table"]}
+dvc-studio-client = ">=0.3.0"
"ruamel.yaml" = ">=0.17.11"
[package.extras]
-all = ["catalyst (>22)", "datasets", "dvc (>=2.0.0)", "fastai", "lightgbm", "mmcv", "pandas (>=1.3.1)", "pillow", "pytorch-lightning (>=1.7)", "scikit-learn", "tensorflow", "torch (<1.13)", "transformers", "xgboost"]
+all = ["catalyst (>22)", "datasets", "dvc (>=2.38.1)", "fastai", "lightgbm", "matplotlib", "mmcv", "numpy", "pillow", "pytorch-lightning (>=1.7)", "scikit-learn", "tensorflow", "torch (<1.13)", "transformers", "xgboost"]
catalyst = ["catalyst (>22)"]
-dev = ["catalyst (>22)", "datasets", "dvc (>=2.0.0)", "fastai", "lightgbm", "mmcv", "mypy (==0.981)", "pandas (>=1.3.1)", "pillow", "pylint (==2.15.0)", "pylint-plugin-utils (>=0.6)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "pytorch-lightning (>=1.7)", "scikit-learn", "tensorflow", "torch (<1.13)", "transformers", "xgboost"]
+dev = ["catalyst (>22)", "datasets", "dvc (>=2.38.1)", "fastai", "lightgbm", "matplotlib", "mmcv", "mypy (==0.981)", "numpy", "pillow", "pylint (==2.15.0)", "pylint-plugin-utils (>=0.6)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "pytorch-lightning (>=1.7)", "scikit-learn", "tensorflow", "torch (<1.13)", "transformers", "xgboost"]
+dvc = ["dvc (>=2.38.1)"]
fastai = ["fastai"]
huggingface = ["datasets", "transformers"]
-image = ["pillow"]
+image = ["numpy", "pillow"]
lgbm = ["lightgbm"]
+markdown = ["matplotlib"]
mmcv = ["mmcv"]
plots = ["scikit-learn"]
pytorch-lightning = ["pytorch-lightning (>=1.7)", "torch (<1.13)"]
sklearn = ["scikit-learn"]
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+tests = ["dvc (>=2.38.1)", "matplotlib", "mypy (==0.981)", "numpy", "pillow", "pylint (==2.15.0)", "pylint-plugin-utils (>=0.6)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "scikit-learn"]
tf = ["tensorflow"]
xgb = ["xgboost"]
[[package]]
name = "exceptiongroup"
-version = "1.0.4"
+version = "1.1.0"
description = "Backport of PEP 654 (exception groups)"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
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[package.extras]
@@ -1595,19 +1618,19 @@ dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4
[[package]]
name = "filelock"
-version = "3.8.2"
+version = "3.9.0"
description = "A platform independent file lock."
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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-testing = ["covdefaults (>=2.2.2)", "coverage (>=6.5)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2022.12.7)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
+testing = ["covdefaults (>=2.2.2)", "coverage (>=7.0.1)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"]
[[package]]
name = "flair"
@@ -2013,14 +2036,14 @@ smmap = ">=3.0.1,<6"
[[package]]
name = "gitpython"
-version = "3.1.29"
+version = "3.1.30"
description = "GitPython is a python library used to interact with Git repositories"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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[package.dependencies]
@@ -2156,33 +2179,33 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pep517",
[[package]]
name = "importlib-resources"
-version = "5.10.1"
+version = "5.10.2"
description = "Read resources from Python packages"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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[package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
[[package]]
name = "iniconfig"
-version = "1.1.1"
-description = "iniconfig: brain-dead simple config-ini parsing"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.7"
files = [
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[[package]]
@@ -2494,28 +2517,40 @@ tests = ["contextlib2", "matplotlib (>=3.3.0)", "pytest", "pytest-cov", "pytest-
[[package]]
name = "llvmlite"
-version = "0.34.0"
+version = "0.39.1"
description = "lightweight wrapper around basic LLVM functionality"
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
files = [
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[[package]]
@@ -5604,5 +5742,5 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
[metadata]
lock-version = "2.0"
-python-versions = "^3.8"
-content-hash = "57f1b7932a46bdb274a30ef3869e8b1fd75d42e4d4539b367e906990a48c588c"
+python-versions = ">=3.8,<3.12"
+content-hash = "f9395ce887a062d947d791eb65f853915b6cf335baa4f5eaced43d0482b0834e"
diff --git a/pyproject.toml b/pyproject.toml
index 8518ea1..e7b17bc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ readme = "README.rst"
packages = [{include = "sziszapangma"}]
[tool.poetry.dependencies]
-python = "^3.8"
+python = ">=3.8,<3.12"
dvc = {extras = ["s3"], version = "^2.38.1"}
numpy = "1.23.5"
requests = "^2.28.1"
@@ -27,7 +27,12 @@ ffmpeg-python = "^0.2.0"
pydub = "^0.25.1"
librosa = "^0.9.2"
soundfile = "^0.11.0"
-
+fsspec = "^2022.11.0"
+s3fs = "^2022.11.0"
+scipy = "^1.10.0"
+pika = "^1.3.1"
+pyopenssl = "^23.0.0"
+nltk = "^3.8.1"
[tool.poetry.group.dev.dependencies]
pytest = "^7.2.0"
diff --git a/sziszapangma/integration/asr_processor.py b/sziszapangma/integration/asr_processor.py
index cb46548..6fb8b21 100644
--- a/sziszapangma/integration/asr_processor.py
+++ b/sziszapangma/integration/asr_processor.py
@@ -34,8 +34,6 @@ class AsrWebClient(AsrProcessor):
if file_path.endswith('.mp3'):
AudioSegment.from_mp3(file_path).export("temp.wav", format="wav")
correct_file_path = "temp.wav"
- # 1 46:39
- # 19 48:25
files = {"file": open(correct_file_path, "rb")}
headers = (
dict({"Authorization": f"Bearer {self._auth_token}"})
diff --git a/sziszapangma/integration/repository/__pycache__/mongo_experiment_repository.cpython-38.pyc b/sziszapangma/integration/repository/__pycache__/mongo_experiment_repository.cpython-38.pyc
index 8d4fa80ffa121e22f40d31c19a0a38dad8cde621..d51bab921e6a8d49fbb4645c3098ef9b76417a66 100644
GIT binary patch
delta 55
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delta 56
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diff --git a/sziszapangma/integration/repository/fsspec_experiment_repository.py b/sziszapangma/integration/repository/fsspec_experiment_repository.py
new file mode 100644
index 0000000..f205e13
--- /dev/null
+++ b/sziszapangma/integration/repository/fsspec_experiment_repository.py
@@ -0,0 +1,92 @@
+import json
+from typing import Any, Optional, Set
+import datetime
+import fsspec
+import s3fs
+from fsspec import AbstractFileSystem
+from fsspec.implementations.local import LocalFileSystem
+from pymongo import MongoClient
+
+from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
+from sziszapangma.integration.repository.mongo_experiment_repository import MongoExperimentRepository
+from sziszapangma.integration.repository.multi_files_experiment_repository import MultiFilesExperimentRepository
+
+
+class FsspecExperimentRepository(ExperimentRepository):
+ _fsspec: AbstractFileSystem
+ _dataset_name: str
+ _pretty_format: bool
+
+ def __init__(self, file_system: AbstractFileSystem, dataset_name: str, pretty_format: bool = False):
+ super().__init__()
+ self._fsspec = file_system
+ self._dataset_name = dataset_name
+ self._pretty_format = pretty_format
+
+ def initialise(self) -> None:
+ return
+
+ def property_exists(self, record_id: str, property_name: str) -> bool:
+ path = self._get_path_for(record_id, property_name)
+ return self._fsspec.exists(path)
+
+ def update_property_for_key(self, record_id: str, property_name: str, property_value: Any):
+ path = self._get_path_for(record_id, property_name)
+ json.dump(property_value, self._fsspec.open(path, 'w'))
+
+ def delete_property_for_key(self, record_id: str, property_name: str):
+ path = self._get_path_for(record_id, property_name)
+ self._fsspec.delete(path)
+
+ def get_property_for_key(self, record_id: str, property_name: str) -> Optional[Any]:
+ path = self._get_path_for(record_id, property_name)
+ if self._fsspec.exists(path):
+ return json.load(self._fsspec.open(path, 'r'))
+
+ def get_all_record_ids(self) -> Set[str]:
+ all_records_set = set()
+ for property_name in self.get_all_properties():
+ all_records_set.update(self.get_all_records_for_property(property_name))
+ return all_records_set
+
+ def get_all_records_for_property(self, property_name: str) -> Set[str]:
+ path = self._get_property_path(property_name)
+ return set([it.split('/')[-1][:-5] for it in self._fsspec.ls(path)])
+
+ def get_all_properties(self) -> Set[str]:
+ path = self._get_dataset_path()
+ return set([it.split('/')[-1] for it in self._fsspec.ls(path)])
+
+ def _get_path_for(self, record_id: str, property_name: str) -> str:
+ return f'{self._get_property_path(property_name)}/{record_id}.json'
+
+ def _get_dataset_path(self) -> str:
+ return f'/pipeline/{self._dataset_name}'
+
+ def _get_property_path(self, property_name: str) -> str:
+ return f'{self._get_dataset_path()}/{property_name}'
+
+
+def copy_repos(from_repo: ExperimentRepository, to_repo: ExperimentRepository, dataset_name: str):
+ all_ids = list(from_repo.get_all_record_ids())
+ for prop in sorted(list(from_repo.get_all_properties())):
+ print(datetime.datetime.now().__str__(), f'{dataset_name} -> {prop}')
+ for record_index in range(len(all_ids)):
+ record = all_ids[record_index]
+ if from_repo.property_exists(record, prop):
+ to_repo.update_property_for_key(record, prop, from_repo.get_property_for_key(record, prop))
+
+
+def run_migration_for_repo(dataset_name: str):
+ mongo = MongoClient('mongodb://root:example@mongo-asr-benchmarks.theliver.pl:27021/', ssl=True)
+ mongo_repo = MongoExperimentRepository(mongo_client=mongo, database_name=dataset_name)
+ repo_local = MultiFilesExperimentRepository('/home/marcinwatroba/PWR_ASR/asr-benchmarks/experiment_data/pipeline',
+ dataset_name)
+ copy_repos(repo_local, mongo_repo, dataset_name)
+
+
+# if __name__ == '__main__':
+# print(MongoClient('mongodb://root:example@mongo-asr-benchmarks.theliver.pl:27021/', ssl=True))
+# datasets = ['pl_google_fleurs', 'pl_luna', 'pl_minds14', 'pl_voicelab_cbiz', 'pl_common_voice']
+# for it in datasets:
+# run_migration_for_repo(it)
--
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