automatically assign IP and expected volume moved (#15597)

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# Overview

<!--
Added section to read a json file in the measurement folder containing
all robot IP's and expected volumes moved based on robot name.-->

# Test Plan

<!--
Tested steps 1, 2, and 3 with measurements. I do not believe more
testing is needed.
-->

# Changelog

<!--
- added json file reader for IP's and volumes
- added recovery if "Y" or "N" were not input after a measurement
-->

# Review requests

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N/A
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# Risk assessment

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This script is not relied on in any other script.
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abr-testing/abr_testing/tools/abr_scale.py

@@ -9,9 +9,12 @@
 import requests
 from typing import Any, Tuple
 import sys
+import json
 
 
-def get_protocol_step_as_int() -> Tuple[int, float, str]:
+def get_protocol_step_as_int(
+    storage_directory: str, robot: str
+) -> Tuple[int, float, str]:
     """Get user input as integer."""
     expected_liquid_moved = 0.0
     ip = ""
@@ -26,14 +29,25 @@ def get_protocol_step_as_int() -> Tuple[int, float, str]:
             print("Protocol step should be an integer value 1, 2, or 3.")
 
     if int(protocol_step) == 3:
-        ip = input("Robot IP: ")
-        while True:
-            try:
-                expected_liquid_moved = float(input("Expected volume moved: "))
-                if expected_liquid_moved >= 0 or expected_liquid_moved <= 0:
-                    break
-            except ValueError:
-                print("Expected liquid moved volume should be an float.")
+        # setup IP sheet
+        ip_json_file = os.path.join(storage_directory, "IP_N_VOLUMES.json")
+        # create an dict copying the contents of IP_N_Volumes
+        try:
+            ip_file = json.load(open(ip_json_file))
+        except FileNotFoundError:
+            print(
+                f"Please add json file with robot IPs and expected volumes to: {storage_directory}."
+            )
+            sys.exit()
+        # grab IP and volume from the dict
+        tot_info = ip_file["information"]
+        robot_info = tot_info[robot]
+        IP_add = robot_info["IP"]
+        exp_volume = robot_info["volume"]
+        # sets return variables equal to those grabbed from the sheet
+        ip = IP_add
+        expected_liquid_moved = float(exp_volume)
+
     return protocol_step, expected_liquid_moved, ip
 
 
@@ -170,8 +184,11 @@ def get_most_recent_run_and_record(
     )
     robot = input("Robot: ")
     labware = input("Labware: ")
-    protocol_step, expected_liquid_moved, ip = get_protocol_step_as_int()
-
+    protocol_step, expected_liquid_moved, ip = get_protocol_step_as_int(
+        storage_directory, robot
+    )
+    print(ip)
+    print(expected_liquid_moved)
     # Scale Loop
     grams, is_stable = scale.read_mass()
     grams, is_stable = scale.read_mass()
@@ -199,16 +216,23 @@ def get_most_recent_run_and_record(
                 get_most_recent_run_and_record(ip, storage_directory, labware, accuracy)
 
             is_stable = False
-            y_or_no = input("Do you want to weigh another sample? (Y/N): ")
-            if y_or_no == "Y":
-                # Uses same storage directory and file.
-                grams, is_stable = scale.read_mass()
-                is_stable = False
-                robot = input("Robot: ")
-                labware = input("Labware: ")
-                protocol_step, expected_liquid_moved, ip = get_protocol_step_as_int()
-                grams, is_stable = scale.read_mass()
-            elif y_or_no == "N":
-                break_all = True
+            while True:
+                y_or_no = input("Do you want to weigh another sample? (Y/N): ")
+                if y_or_no == "Y" or y_or_no == "y":
+                    # Uses same storage directory and file.
+                    grams, is_stable = scale.read_mass()
+                    is_stable = False
+                    robot = input("Robot: ")
+                    labware = input("Labware: ")
+                    protocol_step, expected_liquid_moved, ip = get_protocol_step_as_int(
+                        storage_directory, robot
+                    )
+                    grams, is_stable = scale.read_mass()
+                    break
+                elif y_or_no == "N" or y_or_no == "n":
+                    break_all = True
+                    break
+                else:
+                    print("Please Choose a Valid Option")
         if break_all:
             break