Best Python code snippet using tempest_python
utils.py
Source: utils.py
...51 global cleanup_counter52 if cleanup_counter < 50:53 cleanup_counter += 154 else:55 _cleanup_images(os.path.dirname(item.path))56 cleanup_counter = 057 rimg_dir = os.path.join(os.path.dirname(item.path), img_dir)58 rimg_path = os.path.join(rimg_dir, item.name)59 rimg_url = os.path.join(os.path.dirname(item.url), img_dir, item.name)60 item.resized_img_url = rimg_url61 item.resized_img_path = rimg_path62 if os.path.exists(rimg_path):63 return64 ext = os.path.splitext(item.name)[1]65 if ext.lower()[1:] not in ['jpg', 'jpeg', 'gif', 'png']:66 item.resized_img_url = item.url67 item.resized_img_path = item.path68 return69 if not os.path.exists(rimg_dir):70 try:71 os.mkdir(rimg_dir)72 except:73 item.resized_img_url = item.url74 item.resized_img_path = item.path75 try:76 with Image.open(item.path) as im:77 im.thumbnail([rwidth, rheight], Image.ANTIALIAS)78 im.save(rimg_path)79 except:80 item.resized_img_url = item.url81 item.resized_img_path = item.path82def _list_dir(path):83 items = []84 if not os.path.exists(path):85 return items86 for item in os.listdir(path):87 item_path = os.path.join(path, item)88 if os.path.isfile(item_path):89 items.append(item)90 return items91def _cleanup_images(path):92 images = _list_dir(path)93 thumbs = _list_dir(os.path.join(path, img_thumbs))94 display = _list_dir(os.path.join(path, img_display))95 for image in images:96 if image in thumbs:97 del thumbs[thumbs.index(image)]98 if image in display:99 del display[display.index(image)]100 for t in thumbs:101 tpath = os.path.join(path, img_thumbs, t)102 if os.path.exists(tpath):103 os.remove(tpath)104 for d in display:105 dpath = os.path.join(path, img_display, d)...
image_serve.py
Source: image_serve.py
...5from PIL import Image6import os7import pandas as pd8import numpy as np9def _cleanup_images():10 files = os.listdir('.')11 for file in files:12 if file.endswith('.png'):13 os.remove(file)14def model_fn(model_dir):15 """loads model from previously saved artifact"""16 model = ImagePredictor.load(model_dir)17 return model18def transform_fn(model, request_body, input_content_type, output_content_type="application/json"):19 if input_content_type == "application/x-npy":20 buf = BytesIO(request_body)21 data = np.load(buf, allow_pickle=True)22 image_paths = []23 for i, image in enumerate(data):24 im = Image.fromarray(image)25 im_name = f'{i}.png'26 im.save(im_name)27 image_paths.append(im_name)28 elif input_content_type == "application/x-image":29 buf = BytesIO(request_body)30 im = Image.open(buf)31 image_paths = []32 im_name = 'test.png'33 im.save(im_name)34 image_paths.append(im_name)35 else:36 raise ValueError(37 f'{input_content_type} input content type not supported.'38 )39 if model._problem_type != REGRESSION:40 pred_proba = model.predict_proba(image_paths, as_pandas=True)41 pred = get_pred_from_proba_df(pred_proba, problem_type=model._problem_type)42 pred_proba.columns = [str(c) + '_proba' for c in pred_proba.columns]43 pred.name = str(pred.name) + '_pred' if pred.name is not None else 'pred'44 prediction = pd.concat([pred, pred_proba], axis=1)45 else:46 prediction = model.predict(image_paths, as_pandas=True)47 if isinstance(prediction, pd.Series):48 prediction = prediction.to_frame()49 if output_content_type == "application/json":50 output = prediction.to_json()51 elif output_content_type == "application/x-parquet":52 prediction.columns = prediction.columns.astype(str)53 output = prediction.to_parquet()54 elif output_content_type == "text/csv":55 output = prediction.to_csv(index=None)56 else:57 raise ValueError(f"{output_content_type} content type not supported")58 _cleanup_images()...
cleanup_media_files.py
Source: cleanup_media_files.py
...5class CleanupMediaFilesService(ICleanupMediaFilesService):6 """Cleanup media files service."""7 def cleanup_media_files(self, instance: models.Model) -> None:8 """Cleanup media files."""9 self._cleanup_images(instance)10 def _cleanup_images(self, instance: models.Model) -> None:11 for image_field in self._get_media_fields(instance, Image):12 media_instance = getattr(instance, image_field.name)13 if media_instance:14 self._delete_image(media_instance)15 def _delete_file(self, file_instance: models.Model) -> None:16 self._delete_media_from_storage(file_instance.storage_file)17 file_instance.delete()18 def _delete_image(self, image_instance: models.Model) -> None:19 self._delete_media_from_storage(image_instance.storage_image)20 image_instance.delete()21 def _delete_media_from_storage(22 self,23 media_field: models.FileField,24 ) -> None:...
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