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Download server/src/utils/main_utils.py from VashuTheGreat2/ML-Learner: direct link, hf CLI and curl.
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https://huggingface.co/spaces/VashuTheGreat2/ML-Learner/resolve/main/server/src/utils/main_utils.py
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hf download hf://spaces/VashuTheGreat2/ML-Learner/server/src/utils/main_utils.py
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curl -L -o main_utils.py https://huggingface.co/spaces/VashuTheGreat2/ML-Learner/resolve/main/server/src/utils/main_utils.py
6.78 kB
| from exception import MyException | |
| import sys | |
| import os | |
| async def write_file(file_path, content): | |
| try: | |
| with open(file_path, "w", encoding="utf-8") as f: | |
| f.write(content) | |
| except Exception as e: | |
| raise MyException(e, sys) | |
| async def read_file(file_path): | |
| try: | |
| with open(file_path, "r", encoding="utf-8") as f: | |
| return f.read() | |
| except Exception as e: | |
| raise MyException(e, sys) | |
| async def delete_file(file_path): | |
| try: | |
| if os.path.exists(file_path): | |
| os.remove(file_path) | |
| else: | |
| import logging | |
| logging.debug(f"File {file_path} not found, skipping deletion") | |
| except Exception as e: | |
| raise MyException(e, sys) | |
| from exception import MyException | |
| import logging | |
| import sys | |
| import yaml | |
| import dill | |
| from dataclasses import asdict | |
| import numpy as np | |
| import os | |
| async def read_yaml_file(file_path:str)->dict: | |
| try: | |
| with open(file_path,"rb") as f: | |
| return yaml.safe_load(f) | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| def read_yaml_file_sync(file_path:str)->dict: | |
| try: | |
| with open(file_path,"rb") as f: | |
| return yaml.safe_load(f) | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| async def write_yaml_file(file_path:str,content:object,replace:bool=False)->None: | |
| try: | |
| if replace: | |
| if os.path.exists(file_path): | |
| os.remove(file_path) | |
| os.makedirs(os.path.dirname(file_path),exist_ok=True) | |
| if hasattr(content,"__dataclass_fields__"): | |
| content=asdict(content) | |
| if hasattr(content,"__dict__"): | |
| content=content.__dict__ | |
| with open(file_path,"w") as file: | |
| yaml.dump(content,file) | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| async def save_object(file_path:str,obj:object)->None: | |
| logging.info("Entered the save_object method of utils") | |
| try: | |
| os.makedirs(os.path.dirname(file_path),exist_ok=True) | |
| with open(file_path,"wb") as file_obj: | |
| dill.dump(obj,file_obj) | |
| logging.info("Exited the save_object method of utils") | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| async def load_numpy_array_data(file_path: str) -> np.array: | |
| try: | |
| with open(file_path, 'rb') as file_obj: | |
| return np.load(file_obj) | |
| except Exception as e: | |
| raise MyException(e, sys) from e | |
| async def save_numpy_array_data(file_path: str, array: np.array): | |
| try: | |
| dir_path = os.path.dirname(file_path) | |
| os.makedirs(dir_path, exist_ok=True) | |
| with open(file_path, 'wb') as file_obj: | |
| np.save(file_obj, array) | |
| except Exception as e: | |
| raise MyException(e, sys) from e | |
| async def load_object(file_path: str) -> object: | |
| try: | |
| with open(file_path, "rb") as file_obj: | |
| obj = dill.load(file_obj) | |
| return obj | |
| except Exception as e: | |
| raise MyException(e, sys) from e | |
| from exception import MyException | |
| import logging | |
| import sys | |
| import yaml | |
| import dill | |
| from dataclasses import asdict | |
| import numpy as np | |
| import os | |
| async def read_yaml_file(file_path:str)->dict: | |
| try: | |
| with open(file_path,"rb") as f: | |
| return yaml.safe_load(f) | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| def read_yaml_file_sync(file_path:str)->dict: | |
| try: | |
| with open(file_path,"rb") as f: | |
| return yaml.safe_load(f) | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| async def write_yaml_file(file_path:str,content:object,replace:bool=False)->None: | |
| try: | |
| if replace: | |
| if os.path.exists(file_path): | |
| os.remove(file_path) | |
| os.makedirs(os.path.dirname(file_path),exist_ok=True) | |
| if hasattr(content,"__dataclass_fields__"): | |
| content=asdict(content) | |
| if hasattr(content,"__dict__"): | |
| content=content.__dict__ | |
| with open(file_path,"w") as file: | |
| yaml.dump(content,file) | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| async def save_object(file_path:str,obj:object)->None: | |
| logging.info("Entered the save_object method of utils") | |
| try: | |
| os.makedirs(os.path.dirname(file_path),exist_ok=True) | |
| with open(file_path,"wb") as file_obj: | |
| dill.dump(obj,file_obj) | |
| logging.info("Exited the save_object method of utils") | |
| except Exception as e: | |
| raise MyException(e,sys) | |
| async def load_numpy_array_data(file_path: str) -> np.array: | |
| try: | |
| with open(file_path, 'rb') as file_obj: | |
| return np.load(file_obj) | |
| except Exception as e: | |
| raise MyException(e, sys) from e | |
| async def save_numpy_array_data(file_path: str, array: np.array): | |
| try: | |
| dir_path = os.path.dirname(file_path) | |
| os.makedirs(dir_path, exist_ok=True) | |
| with open(file_path, 'wb') as file_obj: | |
| np.save(file_obj, array) | |
| except Exception as e: | |
| raise MyException(e, sys) from e | |
| async def load_object(file_path: str) -> object: | |
| try: | |
| with open(file_path, "rb") as file_obj: | |
| obj = dill.load(file_obj) | |
| return obj | |
| except Exception as e: | |
| raise MyException(e, sys) from e | |
| async def write_file(file_path, content): | |
| try: | |
| with open(file_path, "w", encoding="utf-8") as f: | |
| f.write(content) | |
| except Exception as e: | |
| raise MyException(e, sys) | |
| async def delete_file(file_path): | |
| try: | |
| if os.path.exists(file_path): | |
| os.remove(file_path) | |
| except Exception as e: | |
| raise MyException(e, sys) | |
| import yaml | |
| import os | |
| def load_yaml(file_path: str): | |
| if not os.path.exists(file_path): | |
| return {} | |
| with open(file_path, "r") as f: | |
| return yaml.safe_load(f) or {} | |
| def write_yaml(file_path: str, data: dict, mode: str = "w"): | |
| if mode == "a": | |
| existing_data = load_yaml(file_path) | |
| if isinstance(existing_data, dict) and isinstance(data, dict): | |
| # If we are appending to a specific list within the dict | |
| for key, value in data.items(): | |
| if key in existing_data and isinstance(existing_data[key], list) and isinstance(value, list): | |
| existing_data[key].extend(value) | |
| else: | |
| existing_data[key] = value | |
| data = existing_data | |
| elif isinstance(existing_data, list) and isinstance(data, list): | |
| existing_data.extend(data) | |
| data = existing_data | |
| with open(file_path, "w") as f: | |
| yaml.dump(data, f) | |