Feat[Jungfrau]: Inject CCVs using RESTful API

Description

Inject CCVs without using calibration_client. This enables more control over injection and better error transparency.

These are the injected CCV report with the current MR: https://internal.xfel.eu/test_calibration/reports/2871

Below is a link to another report trying to reinject the same CCVs.

This MR is addressing this issue:https://git.xfel.eu/calibration/planning/-/issues/182

How Has This Been Tested?

Relevant Documents (optional)

No_caldbremote_jungfrau.pdf

Types of changes

Checklist:

Reviewers

@schmidtp @kluyvert

src/cal_tools/constants.py

 
 import binascii
 import time
-import warnings
 from hashlib import md5
 from pathlib import Path
 from shutil import copyfile
@@ -9,12 +8,10 @@ from struct import pack, unpack
 
 import h5py
 import numpy as np
-from calibration_client import CalibrationClient
 
 from cal_tools.calcat_interface2 import _get_default_caldb_root, CalCatAPIClient
-from cal_tools.restful_config import calibration_client
-from dataclasses import asdict, dataclass, field
-from typing import List, Optional, Tuple, Union
+from dataclasses import asdict, dataclass
+from typing import Tuple, Union
 from datetime import datetime, timezone
 
 @dataclass