added m_labor

functions/m_labor.py

+import h5py as h5
+
+
+def logging_heater(path: str, uuid: str) -> dict[str, dict[str, float]]:
+    """Prompt the user to enter heating data and log it to an HDF5 file.
+
+    This function creates a new group in the HDF5 file for a specified UUID (heater's UUID)
+    and prompts the user to enter current, voltage, and heating time. It validates the
+    user's input and writes the data to the file under the created group. Each piece
+    of data is stored in a separate dataset with a corresponding unit attribute.
+
+    Args:
+        path (str): The file path to the HDF5 file where data should be logged.
+        uuid (str): The UUID to create a group for.
+
+    Returns:
+        dict[str, dict[str, float]]: A dictionary containing the entered data,
+                                     organized by UUID and measurement type.
+
+    """
+    # Define the HDF5 internal path for the heater data.
+    h5_path = "RawData/{}".format(uuid)
+
+    # Open the HDF5 file and create a new group for the heater using the UUID.
+    with h5.File(path, "a") as f:
+        # TODO: Create Group
+        # This line of code throws an exception. This is just to make sure you can see
+        # all the code you need to refine. If you already know how to implement the program
+        # or have done so, then you can safely delete the three lines of code below, as well
+        # as this comment.
+        raise NotImplementedError(
+            "Delete these 3 lines if you have finished the code or want to test it.".upper()
+        )
+
+        ## DONE ##
+
+    # Initialize a dictionary to store heater data.
+    data_dict = {
+        uuid: {
+            "Current in Ampere": None,
+            "Voltage in Volt": None,
+            "Heat time in Seconds": None,
+        }
+    }
+
+    # A flag to indicate if the loop for correct data entry is active.
+    is_wrong = True
+    # A flag to indicate if the user is entering the data or correcting it.
+    enter_data = True
+    # Loop until correct data is entered.
+    while is_wrong:
+        # If entering data, prompt the user for each value.
+        if enter_data:
+            for i in data_dict[uuid]:
+                try:
+                    # Attempt to convert the input to float and store it.
+                    data_dict[uuid][i] = float(input("{} = ".format(i)))
+                except ValueError:
+                    # If conversion fails, print an error message and set the value to None.
+                    print("Invalid input, try again after entering the remaining data.")
+                    data_dict[uuid][i] = None
+
+            # Print the current state of data_dict for review.
+            print(data_dict)
+        # Prompt the user to confirm if the entered data is correct.
+        user_input = input(
+            "Are the input data correct? [y] to store, [n] to re-enter: "
+        )
+        # Check the user's decision and set flags accordingly.
+        if user_input == "y" or user_input == "Y":
+            # If data is correct, exit the loop.
+            is_wrong = False
+        elif user_input == "n" or user_input == "N":
+            # If data is incorrect, prompt for re-entry.
+            enter_data = True
+        else:
+            # If input is invalid, inform the user and do not re-enter data.
+            print("Invalid input")
+            enter_data = False
+
+    # Open the HDF5 file to write the data into the corresponding group.
+    with h5.File(path, "r+") as f:
+        # TODO: Write the data into HDF5
+        # This line of code throws an exception. This is just to make sure you can see
+        # all the code you need to refine. If you already know how to implement the program
+        # or have done so, then you can safely delete the three lines of code below, as well
+        # as this comment.
+        raise NotImplementedError(
+            "Delete these 3 lines if you have finished the code or want to test it.".upper()
+        )
+        
+        ## DONE ##
+
+    # Return the dictionary containing the logged data.
+    return data_dict

main.py

@@ -13,6 +13,7 @@ Author:         Benjamin Hermann, M.Sc.
                 https://git.rwth-aachen.de/ning.xia
 Created:        24.04.2023
 Last Changes:   03.11.2023
+
 """
 from functions import m_json
 from functions import m_pck