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How to use get_root_folder method in lisa

Best Python code snippet using lisa_python

read_utilities.py

Source:read_utilities.py

...20        return scipy_arff.loadarff(filepath)21    elif mode == "arff":22        return arff.load(open(filepath, "r"))23    return None24def get_root_folder() -> str:25    """26    Get root folder27    Return:28        os.path: root folder29    """30    return os.path.dirname(os.path.dirname(__file__))31def get_dataset_info(name: str):32    """33    Get information regarding particular {name} dataset34    Args:35        name: str36    Return:37        dict or None: specified dict by name from dataset_info.json38    """39    data = load_dataset_info()40    if name in data:41        return data[name]42    else:43        print(44            f"Dataset {name} not present in the local catalogue. To update catalogue, run update_local_info()"45        )46        return None47def load_catalogue_info(root_folder: str = None) -> dict:48    """49    Loading content of catalogue_info.json.50    Contains information regarding datasets paths and configs51    Args:52        root_folder:str - root folder53    Return:54        dict: catalogue_info.json content55    """56    if not root_folder:57        root_folder = get_root_folder()58    return json.load(open(f"{root_folder}/jsons/catalogue_info.json"))59def load_dataset_info(root_folder: str = None) -> dict:60    """61    Loading content of dataset_info.json.62    Contains information regarding datasets paths and configs63    Args:64        root_folder:str - root folder65    Return:66        dict: dataset_info.json content67    """68    if not root_folder:69        root_folder = get_root_folder()70    return json.load(open(f"{root_folder}/jsons/dataset_info.json"))71def load_description(name: str, path: str = "") -> str or None:72    """73    Loading dataset decsription by name74    Args:75        name : str - dataset name76    Return:77        description: str or None - cluster dataset in pandas Dataframe.78        None if file isn't found in dataset folder.79    Errors:80        NotImplementedError - if some functionality isn't implemented in scipy.io arff method81        FileNotFoundError - dataset file isn't present82    """83    if not path:84        root_folder = get_root_folder()85        dataset_info = get_dataset_info(name)86        path = f'{root_folder}/{dataset_info["local_filepath"]}'87    try:88        data = read_arff(f"{path}")89        description = pd.DataFrame(data[1])90    except NotImplementedError:91        data = read_arff(f"{path}", mode="arff")92        description = pd.DataFrame(data["description"])93    except FileNotFoundError:94        print(95            f"Dataset {name} not present in the local catalogue. To update catalogue, run update_local_info()"96        )97        return None98    return description99def load(name: str, path: str = "") -> pd.DataFrame or None:100    """101    Loading dataset by name102    Args:103        name : str - dataset name104    Return:105        df: pd.DataFrame or None - cluster dataset in pandas Dataframe.106        None if file isn't found in dataset folder.107    Errors:108        NotImplementedError - if some functionality isn't implemented in scipy.io arff method109        FileNotFoundError - dataset file isn't present110    """111    if not path:112        root_folder = get_root_folder()113        dataset_info = get_dataset_info(name)114        path = f'{root_folder}/{dataset_info["local_filepath"]}'115    try:116        data = read_arff(f"{path}")117        df = pd.DataFrame(data[0])118        df.columns = df.columns.str.lower()119    except NotImplementedError:120        data = read_arff(f"{path}", mode="arff")121        df = pd.DataFrame(122            data["data"], columns=[x[0].lower() for x in data["attributes"]]123        )124    except FileNotFoundError:125        print(126            f"Dataset {name} not present in the local catalogue. To update catalogue, run update_local_info()"127        )128        return None129    df = preprocessing_utilities.preprocessing(df)130    return df131def download(datasets: str or List[str], overwrite: bool = False):132    """133    Download dataset from github repo.134    Args:135        datasets: str or List[str] - one or single dataset names136        overwrite: bool - overwrite if dataset is present137    """138    if isinstance(datasets, str):139        datasets = [datasets]140    status_datasets = {141        "Dataset_not_found_in_catalogue": [],142        "Download_success": [],143        "Filepath_not_valid": [],144    }145    root_folder = get_root_folder()146    dataset_info = load_dataset_info(root_folder)147    for dataset in datasets:148        if dataset not in dataset_info:149            status_datasets["Dataset_not_found_in_catalogue"].append(dataset)150        else:151            github_path = dataset_info[dataset]["github_filepath"]152            r = requests.get(github_path, allow_redirects=True)153            if r.status_code != 200:154                status_datasets["Filepath_not_valid"].append(dataset)155            open(156                f'{root_folder}/datasets/{dataset_info[dataset]["name"]}.{dataset_info[dataset]["filetype"]}',157                "w",158            ).write(r.text)159            status_datasets["Download_success"].append(dataset)160    for status in status_datasets:161        if status_datasets[status]:162            print(f"{status}: {status_datasets[status]}")163def list_local_datasets() -> List:164    """165    Listing all available datasets locally.166    Return:167        filename: List - list of all locally avaliable datasets168    """169    root_folder = get_root_folder()170    catalogue_info = load_catalogue_info(root_folder)171    dataset_info = load_dataset_info(root_folder)172    local_filepath_dict = {173        dataset_info[filename]["local_filepath"]: filename for filename in dataset_info174    }175    filenames = [176        local_filepath_dict[f'{catalogue_info["PATH_TO_LOCAL"]}/{x}']177        if f'{catalogue_info["PATH_TO_LOCAL"]}/{x}' in local_filepath_dict178        else x179        for x in os.listdir(f'{root_folder}/{catalogue_info["PATH_TO_LOCAL"]}')180    ]181    return filenames182def update_local_jsons():183    root_folder = get_root_folder()184    catalogue_info = load_catalogue_info()185    github_path = catalogue_info["PATH_TO_GITHUB"]186    for file in ["catalogue_info.json", "dataset_info.json"]:187        r = requests.get(f"{github_path}/{file}", allow_redirects=True)188        if r.status_code == 200:189            with open(f"{root_folder}/jsons/{file}", "w") as outfile:190                json.dump(r.json(), outfile)191            print(f"{file} successfully updated")192        else:193            print(f"{file} wasn't updated")194if __name__ == "__main__":...

constants.py

Source:constants.py

2from typing import Union, Dict, List3from .folders import get_root_folder4CONSTANTS: Dict[str, Union[int, str, Dict, List]] = {5    'FOLDERS': {6        'CSV_BASE_FILEPATH': os.path.join(get_root_folder(), "data"),7        'EXTERNAL_CSV_BASE_FILEPATH': os.path.join(get_root_folder(), "data", "external"),8        'INTERIM_CSV_BASE_FILEPATH': os.path.join(get_root_folder(), "data", "interim"),9        'PROCESSED_CSV_BASE_FILEPATH': os.path.join(get_root_folder(), "data", "processed"),10        'RAW_CSV_BASE_FILEPATH': os.path.join(get_root_folder(), "data", "raw"),11    },12    'SCRAPING': {13        'LAST_YEAR': 2022,14        'N_PREVIOUS_YEARS': 32,15        'SEASON_SUMMARY_URL': "https://www.basketball-reference.com/leagues/NBA_{}.html",16        'FOLDER_TO_ID_HASH':  {17            'per_game_stats': 'per_game-team',18            'per_100_possesions_stats': 'per_poss-team',19            'season_total_stats': 'totals-team',20            'advanced_stats': 'advanced-team'21        },22    }23}24def get_scraping_constants():...

paths.py

Source:paths.py

1from pathlib import Path2def get_root_folder():3    # print("ROOT FOLDER in paths.py:", Path(__file__).parent.parent)4    return Path(__file__).parent.parent5def get_visualization_folder():6    # print("Visualization FOLDER in paths.py:, ", get_root_folder() / "visualization")7    return get_root_folder() / "visualization"8def get_data_folder():...

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