read_batch raises a DataError with as_of a deleted version

[DrNickClarke]

Describe the bug

When reading a version number that has been deleted a low level data error is returned. Also a warning is logged

[arcticdb] [warning] Failed to find segment for key 'i:asof_slow_read:499:0x1f40d440a9ebd654@1709222092432355772[1704067200000000000,1704240000000000001]' : No response body.

The error exception_string is
arcticdb::storage::KeyNotFoundException: Composite: i:asof_slow_read:499:0x1f40d440a9ebd654@1709222092432355772[1704067200000000000,1704240000000000001],

Steps/Code to Reproduce

Steps/Code to Reproduce

import arcticdb as adb
import pandas as pd
import numpy as np
from datetime import datetime, timedelta

arctic = adb.Arctic()
lib = arctic.get_library('adb_bugs', create_if_missing=True)

N = 3
df = pd.DataFrame(
index=pd.date_range("20240101", periods=N),
data={'col': np.arange(0., N)}
)

write 500 versions

sym1 = 'asof_slow_read'
for i in range(500):
lib.write(sym1, df)

remove early versions

lib.delete(sym1)

add one more version

lib.write(sym1, df)

this gives the error

v = lib.read_batch([adb.ReadRequest(sym1, as_of=499)])
v[0].exception_string

Expected Results

Error should be

• Version not found
• The same as for lib.read()
• Not refer to low level storage issues

OS, Python Version and ArcticDB Version

Python 3.10
Linux Linux version 5.15.133.1-microsoft-standard-WSL2
arcticdb 4.3.1

Backend storage used

AWS S3

Additional Context

This is possibly related to this issue (failure to observe tombstone correctly). It may be easier to solve the two together

#1384