Source code for flip.core.base

# Copyright (c) 2026 Guy's and St Thomas' NHS Foundation Trust & King's College London
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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"""
FLIP Base Classes.

This module contains the abstract base class for all FLIP implementations.
"""

import logging
from abc import ABC, abstractmethod
from pathlib import Path
from typing import List, Union

import pandas as pd

from flip.constants.flip_constants import ModelStatus, ResourceType


[docs] class FLIPBase(ABC): """ Abstract base class for FLIP functionality across all job types. This class defines the interface that all FLIP implementations must follow. Concrete implementations handle the differences between development and production environments, as well as job-type-specific behavior. """ def __init__(self): self._name = self.__class__.__name__
[docs] self.logger = logging.getLogger(self._name)
self.logger.setLevel(logging.INFO) self.logger.propagate = False # so logs don't get filtered by root if not self.logger.hasHandlers(): handler = logging.StreamHandler() formatter = logging.Formatter("%(asctime)s - FLIP - %(levelname)s - %(message)s") handler.setFormatter(formatter) self.logger.addHandler(handler) # ====================================================== # Abstract Methods - Must be implemented by subclasses # ====================================================== @abstractmethod
[docs] def get_dataframe(self, project_id: str, query: str) -> pd.DataFrame: """ Returns a dataframe for the project/query. Args: project_id (str): The project identifier query (str): SQL query string Returns: pd.DataFrame: Dataframe containing the query results """
@abstractmethod
[docs] def get_by_accession_number( self, project_id: str, accession_id: str, resource_type: Union[ResourceType, List[ResourceType]] = ResourceType.NIFTI, ) -> Path: """ Returns the path to the data for the given accession number. Args: project_id (str): The project identifier accession_id (str): The accession ID of the imaging study resource_type (Union[ResourceType, List[ResourceType]]): Type(s) of resources to download Returns: Path: Path to the downloaded data """
@abstractmethod
[docs] def add_resource( self, project_id: str, accession_id: str, scan_id: str, resource_id: str, files: List[str], ) -> None: """ Adds specific image to XNAT for an accession ID. Args: project_id (str): The project identifier accession_id (str): The accession ID scan_id (str): The scan ID resource_id (str): The resource type ID files (List[str]): List of file paths to upload """
@abstractmethod
[docs] def update_status(self, model_id: str, new_model_status: ModelStatus) -> None: """ Updates training status in Central Hub. Args: model_id (str): The model UUID new_model_status (ModelStatus): The new status to set """
@abstractmethod
[docs] def send_metrics(self, client_name: str, model_id: str, label: str, value: float, round: int) -> None: """ Sends a metric value to the Central Hub. Args: client_name (str): The client name sending the metric model_id (str): The model UUID label (str): The label of the metric value (float): The value of the metric round (int): The local round number """
@abstractmethod
[docs] def send_handled_exception(self, formatted_exception: str, client_name: str, model_id: str) -> None: """ Sends a training-related exception to Central Hub. Args: formatted_exception (str): The formatted exception message client_name (str): The client name that raised the exception model_id (str): The model UUID """
@abstractmethod
[docs] def upload_results_to_s3(self, results_folder: Path, model_id: str) -> None: """ Uploads results to S3 bucket. Args: results_folder (Path): The folder containing results to upload model_id (str): The model UUID for which results are being uploaded """
@abstractmethod
[docs] def cleanup(self, path: Path) -> None: """ Cleans up local files. Args: path (Path): The path to the file or directory to clean up """
# ====================================================== # Concrete Validation Methods - Shared across all implementations # ======================================================
[docs] def check_query(self, query: str) -> None: """ Check whether the query is a string type. Args: query (str): The query to validate Raises: TypeError: If query is not a string """ if not isinstance(query, str): raise TypeError(f"expect query to be string, but got {type(query)}")
[docs] def check_project_id(self, project_id: str) -> None: """ Checks whether the project id is a string type. Args: project_id (str): The project ID to validate Raises: TypeError: If project_id is not a string """ if not isinstance(project_id, str): raise TypeError(f"expect project_id to be string, but got {type(project_id)}")
[docs] def check_accession_id(self, accession_id: str) -> None: """ Checks whether accession_id is a string type. Args: accession_id (str): The accession ID to validate Raises: TypeError: If accession_id is not a string """ if not isinstance(accession_id, str): raise TypeError(f"expect accession_id to be string, but got {type(accession_id)}")
[docs] def check_resource_type(self, resource_type: Union[ResourceType, List[ResourceType]]) -> List[ResourceType]: """ Check whether resource type is valid and returns them reformatted. Args: resource_type (Union[ResourceType, List[ResourceType]]): Single ResourceType or list of ResourceTypes Returns: List[ResourceType]: List of validated resource types Raises: TypeError: If resource_type is not valid """ if isinstance(resource_type, ResourceType): resources = [resource_type] elif isinstance(resource_type, list): if not all(isinstance(r, ResourceType) for r in resource_type): raise TypeError("Each item in resource_type list must be a ResourceType") resources = resource_type else: raise TypeError(f"resource_type must be ResourceType or list of ResourceType, got {type(resource_type)}") return resources