ci: add coverage and ruff (#1383)
* add coverage calculation and push Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * new codecov version and usage of token Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * enable ruff formatter instead of black and isort Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * apply ruff lint fixes Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * apply ruff unsafe fixes Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * add removed imports Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * runs 1 on linter issues Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * finalize linter fixes Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> * Update pyproject.toml Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com> Signed-off-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com> --------- Signed-off-by: Michele Dolfi <dol@zurich.ibm.com> Signed-off-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com> Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
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@@ -1,8 +1,9 @@
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import logging
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import warnings
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import zipfile
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from collections.abc import Iterable
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from pathlib import Path
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from typing import Iterable, List, Optional, Type
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from typing import List, Optional, Type
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import numpy
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from docling_core.types.doc import BoundingBox, CoordOrigin
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@@ -58,12 +59,10 @@ class EasyOcrModel(BaseOcrModel):
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device = decide_device(accelerator_options.device)
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# Enable easyocr GPU if running on CUDA, MPS
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use_gpu = any(
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[
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device.startswith(x)
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for x in [
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AcceleratorDevice.CUDA.value,
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AcceleratorDevice.MPS.value,
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]
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device.startswith(x)
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for x in [
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AcceleratorDevice.CUDA.value,
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AcceleratorDevice.MPS.value,
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]
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)
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else:
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@@ -98,8 +97,10 @@ class EasyOcrModel(BaseOcrModel):
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progress: bool = False,
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) -> Path:
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# Models are located in https://github.com/JaidedAI/EasyOCR/blob/master/easyocr/config.py
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from easyocr.config import detection_models as det_models_dict
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from easyocr.config import recognition_models as rec_models_dict
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from easyocr.config import (
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detection_models as det_models_dict,
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recognition_models as rec_models_dict,
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)
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if local_dir is None:
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local_dir = settings.cache_dir / "models" / EasyOcrModel._model_repo_folder
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@@ -126,13 +127,11 @@ class EasyOcrModel(BaseOcrModel):
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def __call__(
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self, conv_res: ConversionResult, page_batch: Iterable[Page]
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) -> Iterable[Page]:
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if not self.enabled:
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yield from page_batch
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return
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for page in page_batch:
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assert page._backend is not None
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if not page._backend.is_valid():
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yield page
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