From 63ea53f39a38a77e7b92efa9852a2ed0502a3a89 Mon Sep 17 00:00:00 2001
From: Rhyann Clarke <146747548+rclarke0@users.noreply.github.com>
Date: Wed, 17 Jul 2024 14:50:16 -0400
Subject: [PATCH] fix(hardware-testing): fix ABR asair sensor time adjustment
 (#15658)

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# Overview

Change asair time adjustment from 5 hrs to 4 hrs to account for daylight
savings.

# Test Plan

<!--
Use this section to describe the steps that you took to test your Pull
Request.
If you did not perform any testing provide justification why.

OT-3 Developers: You should default to testing on actual physical
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Once again, if you did not perform testing against hardware, justify
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Example Test Plan (HTTP API Change)

- Verified that new optional argument `dance-party` causes the robot to
flash its lights, move the pipettes,
then home.
- Verified that when you omit the `dance-party` option the robot homes
normally
- Added protocol that uses `dance-party` argument to G-Code Testing
Suite
- Ran protocol that did not use `dance-party` argument and everything
was successful
- Added unit tests to validate that changes to pydantic model are
correct

-->

# Changelog

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List out the changes to the code in this PR. Please try your best to
categorize your changes and describe what has changed and why.

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- Fixed app crash when trying to calibrate an illegal pipette
- Added state to API to track pipette usage
- Updated API docs to mention only two pipettes are supported

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# Risk assessment

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---
 .../data_collection/abr_robot_error.py        |  24 +-
 hardware-testing/Pipfile                      |   1 +
 hardware-testing/Pipfile.lock                 | 351 +++++++++---------
 .../scripts/abr_asair_sensor.py               |  11 +-
 4 files changed, 189 insertions(+), 198 deletions(-)

diff --git a/abr-testing/abr_testing/data_collection/abr_robot_error.py b/abr-testing/abr_testing/data_collection/abr_robot_error.py
index b42a195f52a..a45e64cd86d 100644
--- a/abr-testing/abr_testing/data_collection/abr_robot_error.py
+++ b/abr-testing/abr_testing/data_collection/abr_robot_error.py
@@ -1,5 +1,5 @@
 """Create ticket for robot with error."""
-from typing import List, Tuple, Any, Dict
+from typing import List, Tuple, Any, Dict, Optional
 from abr_testing.data_collection import read_robot_logs, abr_google_drive, get_run_logs
 import requests
 import argparse
@@ -18,7 +18,7 @@
 def compare_current_trh_to_average(
     robot: str,
     start_time: Any,
-    end_time: Any,
+    end_time: Optional[Any],
     protocol_name: str,
     storage_directory: str,
 ) -> str:
@@ -38,27 +38,29 @@ def compare_current_trh_to_average(
     df_all_trh = pd.DataFrame(all_trh_data)
     # Convert timestamps to datetime objects
     df_all_trh["Timestamp"] = pd.to_datetime(
-        df_all_trh["Timestamp"], format="mixed"
+        df_all_trh["Timestamp"], format="mixed", utc=True
     ).dt.tz_localize(None)
     # Ensure start_time is timezone-naive
     start_time = start_time.replace(tzinfo=None)
-    end_time = end_time.replace(tzinfo=None)
     relevant_temp_rhs = df_all_trh[
-        (df_all_trh["Robot"] == robot)
-        & (df_all_trh["Timestamp"] >= start_time)
-        & (df_all_trh["Timestamp"] <= end_time)
+        (df_all_trh["Robot"] == robot) & (df_all_trh["Timestamp"] >= start_time)
     ]
     try:
         avg_temp = round(mean(relevant_temp_rhs["Temp (oC)"]), 2)
         avg_rh = round(mean(relevant_temp_rhs["Relative Humidity (%)"]), 2)
     except StatisticsError:
-        avg_temp = None
-        avg_rh = None
+        # If there is one value assign it as the average.
+        if len(relevant_temp_rhs["Temp (oC)"]) == 1:
+            avg_temp = relevant_temp_rhs["Temp (oC)"][0]
+            avg_rh = relevant_temp_rhs["Relative Humidity (%)"][0]
+        else:
+            avg_temp = None
+            avg_rh = None
     # Get AVG t/rh of runs w/ same robot & protocol newer than 3 wks old with no errors
     weeks_ago_3 = start_time - timedelta(weeks=3)
     df_all_run_data = pd.DataFrame(all_run_data)
     df_all_run_data["Start_Time"] = pd.to_datetime(
-        df_all_run_data["Start_Time"], format="mixed"
+        df_all_run_data["Start_Time"], format="mixed", utc=True
     ).dt.tz_localize(None)
     df_all_run_data["Errors"] = pd.to_numeric(df_all_run_data["Errors"])
     df_all_run_data["Average Temp (oC)"] = pd.to_numeric(
@@ -283,7 +285,9 @@ def get_robot_state(
     components = match_error_to_component("RABR", reported_string, components)
     print(components)
     end_time = datetime.now()
+    print(end_time)
     start_time = end_time - timedelta(hours=2)
+    print(start_time)
     # Get current temp/rh compared to historical data
     temp_rh_string = compare_current_trh_to_average(
         parent, start_time, end_time, "", storage_directory
diff --git a/hardware-testing/Pipfile b/hardware-testing/Pipfile
index 4f9d82e5964..1cbf12ae8b6 100644
--- a/hardware-testing/Pipfile
+++ b/hardware-testing/Pipfile
@@ -10,6 +10,7 @@ opentrons-hardware = {editable = true, path = "./../hardware", extras=['FLEX']}
 hardware-testing = { editable = true, path = "." }
 abr-testing = { editable = true, path = "./../abr-testing" }
 pyserial = "==3.5"
+types-pytz = "*"
 
 [dev-packages]
 atomicwrites = "==1.4.1"
diff --git a/hardware-testing/Pipfile.lock b/hardware-testing/Pipfile.lock
index 7b9381ef39e..026dae40f4b 100644
--- a/hardware-testing/Pipfile.lock
+++ b/hardware-testing/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "1e609e94df92fa225c1352401ecd3c21e2c7ec319754ae3f209155553712704f"
+            "sha256": "aa401ceace7aebaa4a5a7727066f35d36bb28179ae1850fbdffda93edf48e7b0"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -25,6 +25,7 @@
                 "sha256:25816a9eef030c774beaee22189a24e29bc43f81cebe574ef723851eaf89ddee",
                 "sha256:9651e1373873c75786101330e302e114f85b6e8b5ad70b491497c8b3609a8449"
             ],
+            "markers": "python_version >= '3.8'",
             "version": "==0.3.1"
         },
         "anyio": {
@@ -51,13 +52,21 @@
             "markers": "python_version >= '3.7'",
             "version": "==8.1.7"
         },
+        "colorama": {
+            "hashes": [
+                "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44",
+                "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"
+            ],
+            "markers": "platform_system == 'Windows'",
+            "version": "==0.4.6"
+        },
         "exceptiongroup": {
             "hashes": [
-                "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad",
-                "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"
+                "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b",
+                "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"
             ],
             "markers": "python_version < '3.11'",
-            "version": "==1.2.1"
+            "version": "==1.2.2"
         },
         "hardware-testing": {
             "editable": true,
@@ -79,68 +88,6 @@
             "markers": "python_version >= '3.7'",
             "version": "==4.17.3"
         },
-        "msgpack": {
-            "hashes": [
-                "sha256:00e073efcba9ea99db5acef3959efa45b52bc67b61b00823d2a1a6944bf45982",
-                "sha256:0726c282d188e204281ebd8de31724b7d749adebc086873a59efb8cf7ae27df3",
-                "sha256:0ceea77719d45c839fd73abcb190b8390412a890df2f83fb8cf49b2a4b5c2f40",
-                "sha256:114be227f5213ef8b215c22dde19532f5da9652e56e8ce969bf0a26d7c419fee",
-                "sha256:13577ec9e247f8741c84d06b9ece5f654920d8365a4b636ce0e44f15e07ec693",
-                "sha256:1876b0b653a808fcd50123b953af170c535027bf1d053b59790eebb0aeb38950",
-                "sha256:1ab0bbcd4d1f7b6991ee7c753655b481c50084294218de69365f8f1970d4c151",
-                "sha256:1cce488457370ffd1f953846f82323cb6b2ad2190987cd4d70b2713e17268d24",
-                "sha256:26ee97a8261e6e35885c2ecd2fd4a6d38252246f94a2aec23665a4e66d066305",
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-                "sha256:ef254a06bcea461e65ff0373d8a0dd1ed3aa004af48839f002a0c994a6f72d04",
-                "sha256:f3709997b228685fe53e8c433e2df9f0cdb5f4542bd5114ed17ac3c0129b0480",
-                "sha256:f51bab98d52739c50c56658cc303f190785f9a2cd97b823357e7aeae54c8f68a",
-                "sha256:f9904e24646570539a8950400602d66d2b2c492b9010ea7e965025cb71d0c86d",
-                "sha256:f9af38a89b6a5c04b7d18c492c8ccf2aee7048aff1ce8437c4683bb5a1df893d"
-            ],
-            "markers": "platform_system != 'Windows'",
-            "version": "==1.0.8"
-        },
         "numpy": {
             "hashes": [
                 "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b",
@@ -205,53 +152,60 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5",
-                "sha256:eb82c5e3e56209074766e6885bb04b8c38a0c015d0a30036ebe7ece34c9989e9"
+                "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002",
+                "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==24.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==24.1"
         },
         "pydantic": {
             "hashes": [
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@@ -304,15 +258,36 @@
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+            "markers": "platform_system == 'Windows' and platform_python_implementation == 'CPython'",
+            "version": "==306"
+        },
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-            "version": "==70.0.0"
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@@ -322,13 +297,22 @@
             "markers": "python_version >= '3.7'",
             "version": "==1.3.1"
         },
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@@ -455,11 +439,11 @@
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@@ -479,70 +463,69 @@
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+                "sha256:a8659fd33ee9e6ca03950cfdcdf271d645cf681609153f218826dd9805ab585c",
+                "sha256:a94925102c89247530ae1dab7dc02c690942566f22e189cbd53579b0693c0783",
+                "sha256:ad4567d6c334c46046d1c4c20024de2a1c3abc626817ae21ae3da600f5779b44",
+                "sha256:b2e16f4cd2bc4d88ba30ca2d3bbf2f21f00f382cf4e1ce3b1ddc96c634bc48ca",
+                "sha256:bbdf9a72403110a3bdae77948b8011f644571311c2fb35ee15f0f10a8fc082e8",
+                "sha256:beb08e8508e53a568811016e59f3234d29c2583f6b6e28572f0954a6b4f7e03d",
+                "sha256:c4cbe651f3904e28f3a55d6f371203049034b4ddbce65a54527a3f189ca3b390",
+                "sha256:c7b525ab52ce18c57ae232ba6f7010297a87ced82a2383b1afd238849c1ff933",
+                "sha256:ca5d79cfdae420a1d52bf177de4bc2289c321d6c961ae321503b2ca59c17ae67",
+                "sha256:cdab02a0a941af190df8782aafc591ef3ad08824f97850b015c8c6a8b3877b0b",
+                "sha256:d17c6a415d68cfe1091d3296ba5749d3d8696e42c37fca5d4860c5bf7b729f03",
+                "sha256:d39bd10f0ae453554798b125d2f39884290c480f56e8a02ba7a6ed552005243b",
+                "sha256:d4b3cd1ca7cd73d229487fa5caca9e4bc1f0bca96526b922d61053ea751fe791",
+                "sha256:d50a252b23b9b4dfeefc1f663c568a221092cbaded20a05a11665d0dbec9b8fb",
+                "sha256:da8549d17489cd52f85a9829d0e1d91059359b3c54a26f28bec2c5d369524807",
+                "sha256:dcd070b5b585b50e6617e8972f3fbbee786afca71b1936ac06257f7e178f00f6",
+                "sha256:ddaaa91bfc4477d2871442bbf30a125e8fe6b05da8a0015507bfbf4718228ab2",
+                "sha256:df423f351b162a702c053d5dddc0fc0ef9a9e27ea3f449781ace5f906b664428",
+                "sha256:dff044f661f59dace805eedb4a7404c573b6ff0cdba4a524141bc63d7be5c7fd",
+                "sha256:e7e128f85c0b419907d1f38e616c4f1e9f1d1b37a7949f44df9a73d5da5cd53c",
+                "sha256:ed8d1d1821ba5fc88d4a4f45387b65de52382fa3ef1f0115a4f7a20cdfab0e94",
+                "sha256:f2501d60d7497fd55e391f423f965bbe9e650e9ffc3c627d5f0ac516026000b8",
+                "sha256:f7db0b6ae1f96ae41afe626095149ecd1b212b424626175a6633c2999eaad45b"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==7.5.3"
+            "version": "==7.6.0"
         },
         "flake8": {
             "hashes": [
@@ -643,11 +626,11 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5",
-                "sha256:eb82c5e3e56209074766e6885bb04b8c38a0c015d0a30036ebe7ece34c9989e9"
+                "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002",
+                "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"
             ],
-            "markers": "python_version >= '3.7'",
-            "version": "==24.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==24.1"
         },
         "pathspec": {
             "hashes": [
@@ -766,19 +749,19 @@
         },
         "typing-extensions": {
             "hashes": [
-                "sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8",
-                "sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594"
+                "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d",
+                "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==4.12.0"
+            "version": "==4.12.2"
         },
         "urllib3": {
             "hashes": [
-                "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07",
-                "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"
+                "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3",
+                "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"
             ],
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
-            "version": "==1.26.18"
+            "version": "==1.26.19"
         }
     }
 }
diff --git a/hardware-testing/hardware_testing/scripts/abr_asair_sensor.py b/hardware-testing/hardware_testing/scripts/abr_asair_sensor.py
index 33195dacd5a..fc46fcd8df0 100644
--- a/hardware-testing/hardware_testing/scripts/abr_asair_sensor.py
+++ b/hardware-testing/hardware_testing/scripts/abr_asair_sensor.py
@@ -8,6 +8,7 @@
 from typing import List
 import os
 import argparse
+import pytz
 
 
 class _ABRAsairSensor:
@@ -49,12 +50,14 @@ def __init__(self, robot: str, duration: int, frequency: int) -> None:
                 "There are no google sheets credentials. Make sure credentials in jupyter notebook."
             )
         results_list = []  # type: List
-        start_time = datetime.datetime.now()
+        timezone = pytz.timezone("America/New_York")
+        start_time = datetime.datetime.now(timezone)
+        # start_time = datetime.datetime.now(tz=tzinfo.utcoffset(timezone))
         while True:
             env_data = sensor.get_reading()
-            timestamp = datetime.datetime.now()
+            timestamp = datetime.datetime.now(timezone)
             # Time adjustment for ABR robot timezone
-            new_timestamp = timestamp - datetime.timedelta(hours=5)
+            new_timestamp = timestamp
             date = new_timestamp.date()
             time = new_timestamp.time()
             temp = env_data.temperature
@@ -72,7 +75,7 @@ def __init__(self, robot: str, duration: int, frequency: int) -> None:
 
             results_list.append(row)
             # Check if duration elapsed
-            elapsed_time = datetime.datetime.now() - start_time
+            elapsed_time = datetime.datetime.now(timezone) - start_time
             if elapsed_time.total_seconds() >= duration * 60:
                 break
             # write to google sheet