From 17485f6d376e991f212435b9515f6f3ebd0957e4 Mon Sep 17 00:00:00 2001
From: Brad Macdonald <52762200+BWMac@users.noreply.github.com>
Date: Mon, 9 Dec 2024 07:56:35 -0700
Subject: [PATCH] [IBCDPE-983] Updates GX functionality to surface warnings
 (#161)

* bump synapseclient version

* updates logic to surface warnings

* updates GX unit tests

* updates documentation

* bring synapseclient version back to 4.5

* adds mostly to gene_info fields

* pre-commit fix

* remove allOf test

* revert notebook change

* updates docstring

* adds missing type hints

* fix typing

* add more specific messages to test

* adds gx runner docstring

* synapseclient 4.4.1
---
 CONTRIBUTING.md                               |    2 +
 Pipfile.lock                                  | 3936 +++++++++--------
 gx_suite_definitions/gene_info.ipynb          |    6 +-
 setup.cfg                                     |    2 +-
 .../gx/expectations/gene_info.json            |   31 +-
 src/agoradatatools/gx.py                      |   90 +-
 src/agoradatatools/process.py                 |    2 +
 src/agoradatatools/reporter.py                |    4 +
 .../gx/checkpoint_result_fail.json            |    2 +-
 .../gx/checkpoint_result_pass.json            |   16 +-
 tests/test_gx.py                              |  158 +-
 11 files changed, 2263 insertions(+), 1986 deletions(-)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 833463a4..e18f6047 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -186,6 +186,8 @@ This package uses [Great Expectations](https://greatexpectations.io/) to validat
    - You can prevent Great Expectations from running for a dataset by setting `gx_enabled: false` in the configuration for the dataset.
 1. Test data processing by running `adt test_config.yaml --upload` and ensure that HTML reports with all expectations are generated and uploaded to the proper folder in Synapse.
 
+**Note:** If you are adding a new expectation and you want to allow for "fuzzy validation" (e.g. you expect X% of the values in a column to match the expectation, but the remaining Y% are allowed to not match), you will need to make use of the `mostly` [parameter](https://docs.greatexpectations.io/docs/0.18/reference/learn/expectations/standard_arguments/#mostly). This package is set up to surface "warnings" for instances where the `mostly` parameter is used to show users which expectations have some failed values although the overall validation still passes.
+
 #### Custom Expectations
 
 This repository is currently home to three custom expectations that were created for use on `agora-data-tools` datasets:
diff --git a/Pipfile.lock b/Pipfile.lock
index fa9404a2..5c2e1713 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -38,11 +38,19 @@
         },
         "anyio": {
             "hashes": [
-                "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94",
-                "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"
+                "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48",
+                "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==4.4.0"
+            "markers": "python_version >= '3.9'",
+            "version": "==4.7.0"
+        },
+        "appnope": {
+            "hashes": [
+                "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee",
+                "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"
+            ],
+            "markers": "platform_system == 'Darwin'",
+            "version": "==0.1.4"
         },
         "argon2-cffi": {
             "hashes": [
@@ -89,10 +97,11 @@
         },
         "asttokens": {
             "hashes": [
-                "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24",
-                "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"
+                "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7",
+                "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"
             ],
-            "version": "==2.4.1"
+            "markers": "python_version >= '3.8'",
+            "version": "==3.0.0"
         },
         "async-lru": {
             "hashes": [
@@ -102,21 +111,29 @@
             "markers": "python_version >= '3.8'",
             "version": "==2.0.4"
         },
+        "asyncio-atexit": {
+            "hashes": [
+                "sha256:1d0c71544b8ee2c484d322844ee72c0875dde6f250c0ed5b6993592ab9f7d436",
+                "sha256:d93d5f7d5633a534abd521ce2896ed0fbe8de170bb1e65ec871d1c20eac9d376"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==1.0.1"
+        },
         "attrs": {
             "hashes": [
-                "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30",
-                "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"
+                "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346",
+                "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==23.2.0"
+            "version": "==24.2.0"
         },
         "babel": {
             "hashes": [
-                "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb",
-                "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"
+                "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b",
+                "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==2.15.0"
+            "version": "==2.16.0"
         },
         "backoff": {
             "hashes": [
@@ -136,188 +153,203 @@
         },
         "bleach": {
             "hashes": [
-                "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe",
-                "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"
+                "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e",
+                "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==6.1.0"
+            "markers": "python_version >= '3.9'",
+            "version": "==6.2.0"
         },
         "certifi": {
             "hashes": [
-                "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516",
-                "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"
+                "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8",
+                "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==2024.6.2"
+            "version": "==2024.8.30"
         },
         "cffi": {
             "hashes": [
-                "sha256:157cfe06e48356a7552e68cb73976a710f2620a5f9eb25a5fe7066cf71601b68",
-                "sha256:1c9f4df436f3780f2dbea2ff066cea0bb2f74425883bc5b098812768da2b34f7",
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@@ -443,26 +476,26 @@
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@@ -473,11 +506,11 @@
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@@ -497,27 +530,27 @@
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@@ -529,11 +562,11 @@
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@@ -545,11 +578,11 @@
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@@ -560,11 +593,11 @@
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@@ -576,11 +609,11 @@
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@@ -592,38 +625,35 @@
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@@ -651,11 +681,11 @@
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@@ -828,11 +859,11 @@
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@@ -1005,44 +1036,44 @@
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@@ -1447,108 +1522,112 @@
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@@ -1655,19 +1725,19 @@
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@@ -1679,11 +1749,11 @@
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@@ -1694,11 +1764,11 @@
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@@ -1710,52 +1780,82 @@
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@@ -2016,10 +2119,11 @@
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@@ -2389,18 +2517,18 @@
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@@ -2412,34 +2540,34 @@
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@@ -2450,11 +2578,11 @@
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@@ -2474,35 +2602,35 @@
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@@ -2522,11 +2650,11 @@
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@@ -2538,11 +2666,11 @@
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@@ -2553,11 +2681,11 @@
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@@ -2569,11 +2697,11 @@
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@@ -2585,38 +2713,35 @@
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@@ -2644,11 +2769,11 @@
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@@ -2660,11 +2785,11 @@
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@@ -2676,100 +2801,101 @@
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         },
         "referencing": {
             "hashes": [
@@ -3486,108 +3656,112 @@
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@@ -3694,19 +3859,19 @@
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@@ -3718,11 +3883,11 @@
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@@ -3733,11 +3898,11 @@
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@@ -3749,52 +3914,82 @@
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@@ -3814,27 +4009,27 @@
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@@ -3853,19 +4048,19 @@
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@@ -3876,10 +4071,10 @@
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-                "sha256:decbfa2f618fa8ed81c95ee18a387ff973143c656ef800c9f24fb7e9c16054e2",
-                "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020",
-                "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35",
-                "sha256:eb6e651000a19c96f452c85132811d25e9264d836951022d6e81df2fff38337d",
-                "sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3",
-                "sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537",
-                "sha256:f2058f813d4f2b5e3a9eb2eb3faf8f1d99b81c3e51aeda4b168406443e8ba809",
-                "sha256:f6b2d0c6703c988d334f297aa5df18c45e97b0af3679bb75059e0e0bd8b1069d",
-                "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a",
-                "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4"
+                "sha256:0229b247b0fc7dee0d36176cbb79dbaf2a9eb7ecc50ec3121f40ef443155fb1d",
+                "sha256:0698d3a86f68abc894d537887b9bbf84d29bcfbc759e23f4644be27acf6da301",
+                "sha256:0a0a1a1ec28b641f2a3a2c35cbe86c00051c04fffcfcc577ffcdd707df3f8635",
+                "sha256:0b48554952f0f387984da81ccfa73b62e52817a4386d070c75e4db7d43a28c4a",
+                "sha256:0f2a28eb35cf99d5f5bd12f5dd44a0f41d206db226535b37b0c60e9da162c3ed",
+                "sha256:140ea00c87fafc42739bd74a94a5a9003f8e72c27c47cd4f61d8e05e6dec8721",
+                "sha256:16187aa2317c731170a88ef35e8937ae0f533c402872c1ee5e6d079fcf320801",
+                "sha256:17fcf043d0b4724858f25b8826c36e08f9fb2e475410bece0ec44a22d533da9b",
+                "sha256:18b956061b8db634120b58f668592a772e87e2e78bc1f6a906cfcaa0cc7991c1",
+                "sha256:2399408ac33ffd5b200480ee858baa58d77dd30e0dd0cab6a8a9547135f30a88",
+                "sha256:2a0c23b8319848426f305f9cb0c98a6e32ee68a36264f45948ccf8e7d2b941f8",
+                "sha256:2dfb7cff84e72e7bf975b06b4989477873dcf160b2fd89959c629535df53d4e0",
+                "sha256:2f495b6754358979379f84534f8dd7a43ff8cff2558dcdea4a148a6e713a758f",
+                "sha256:33539c6f5b96cf0b1105a0ff4cf5db9332e773bb521cc804a90e58dc49b10578",
+                "sha256:3c34f6896a01b84bab196f7119770fd8466c8ae3dfa73c59c0bb281e7b588ce7",
+                "sha256:498fec8da10e3e62edd1e7368f4b24aa362ac0ad931e678332d1b209aec93045",
+                "sha256:4d63f4d446e10ad19ed01188d6c1e1bb134cde8c18b0aa2acfd973d41fcc5ada",
+                "sha256:4e4b4385363de9052dac1a67bfb535c376f3d19c238b5f36bddc95efae15e12d",
+                "sha256:4e547b447073fc0dbfcbff15154c1be8823d10dab4ad401bdb1575e3fdedff1b",
+                "sha256:4f643df3d4419ea3f856c5c3f40fec1d65ea2e89ec812c83f7767c8730f9827a",
+                "sha256:4f763a29ee6a20c529496a20a7bcb16a73de27f5da6a843249c7047daf135977",
+                "sha256:5ae271862b2142f4bc687bdbfcc942e2473a89999a54231aa1c2c676e28f29ea",
+                "sha256:5d8fd17635b262448ab8f99230fe4dac991af1dabdbb92f7a70a6afac8a7e346",
+                "sha256:69c40d4655e078ede067a7095544bcec5a963566e17503e75a3a3e0fe2803b13",
+                "sha256:69d093792dc34a9c4c8a70e4973a3361c7a7578e9cd86961b2bbf38ca71e4e22",
+                "sha256:6a9653131bda68a1f029c52157fd81e11f07d485df55410401f745007bd6d339",
+                "sha256:6ff02a91c4fc9b6a94e1c9c20f62ea06a7e375f42fe57587f004d1078ac86ca9",
+                "sha256:714c12485aa52efbc0fc0ade1e9ab3a70343db82627f90f2ecbc898fdf0bb181",
+                "sha256:7264cbb4a18dc4acfd73b63e4bcfec9c9802614572025bdd44d0721983fc1d9c",
+                "sha256:73a96fd11d2b2e77d623a7f26e004cc31f131a365add1ce1ce9a19e55a1eef90",
+                "sha256:74bf625b1b4caaa7bad51d9003f8b07a468a704e0644a700e936c357c17dd45a",
+                "sha256:81b1289e99cf4bad07c23393ab447e5e96db0ab50974a280f7954b071d41b489",
+                "sha256:8425cfce27b8b20c9b89d77fb50e368d8306a90bf2b6eef2cdf5cd5083adf83f",
+                "sha256:875d240fdbdbe9e11f9831901fb8719da0bd4e6131f83aa9f69b96d18fae7504",
+                "sha256:879591c2b5ab0a7184258274c42a126b74a2c3d5a329df16d69f9cee07bba6ea",
+                "sha256:89fc28495896097622c3fc238915c79365dd0ede02f9a82ce436b13bd0ab7569",
+                "sha256:8a5e7cc39a45fc430af1aefc4d77ee6bad72c5bcdb1322cfde852c15192b8bd4",
+                "sha256:8f8909cdb9f1b237786c09a810e24ee5e15ef17019f7cecb207ce205b9b5fcce",
+                "sha256:914f66f3b6fc7b915d46c1cc424bc2441841083de01b90f9e81109c9759e43ab",
+                "sha256:92a3d214d5e53cb1db8b015f30d544bc9d3f7179a05feb8f16df713cecc2620a",
+                "sha256:948a9bd0fb2c5120457b07e59c8d7210cbc8703243225dbd78f4dfc13c8d2d1f",
+                "sha256:9c900108df470060174108012de06d45f514aa4ec21a191e7ab42988ff42a86c",
+                "sha256:9f2939cd4a2a52ca32bc0b359015718472d7f6de870760342e7ba295be9ebaf9",
+                "sha256:a4192b45dff127c7d69b3bdfb4d3e47b64179a0b9900b6351859f3001397dabf",
+                "sha256:a8fc931382e56627ec4acb01e09ce66e5c03c384ca52606111cee50d931a342d",
+                "sha256:ad47b095f0bdc5585bced35bd088cbfe4177236c7df9984b3cc46b391cc60627",
+                "sha256:b1ca5f060e205f72bec57faae5bd817a1560fcfc4af03f414b08fa29106b7e2d",
+                "sha256:ba1739fb38441a27a676f4de4123d3e858e494fac05868b7a281c0a383c098f4",
+                "sha256:baa7ef4e0886a6f482e00d1d5bcd37c201b383f1d314643dfb0367169f94f04c",
+                "sha256:bb90765dd91aed05b53cd7a87bd7f5c188fcd95960914bae0d32c5e7f899719d",
+                "sha256:bc7f729a72b16ee21795a943f85c6244971724819819a41ddbaeb691b2dd85ad",
+                "sha256:bdf62d25234290db1837875d4dceb2151e4ea7f9fff2ed41c0fde23ed542eb5b",
+                "sha256:c30970bdee1cad6a8da2044febd824ef6dc4cc0b19e39af3085c763fdec7de33",
+                "sha256:d2c63b93548eda58abf5188e505ffed0229bf675f7c3090f8e36ad55b8cbc371",
+                "sha256:d751300b94e35b6016d4b1e7d0e7bbc3b5e1751e2405ef908316c2a9024008a1",
+                "sha256:da427d311782324a376cacb47c1a4adc43f99fd9d996ffc1b3e8529c4074d393",
+                "sha256:daba396199399ccabafbfc509037ac635a6bc18510ad1add8fd16d4739cdd106",
+                "sha256:e185ec6060e301a7e5f8461c86fb3640a7beb1a0f0208ffde7a65ec4074931df",
+                "sha256:e4a557d97f12813dc5e18dad9fa765ae44ddd56a672bb5de4825527c847d6379",
+                "sha256:e5ed16d95fd142e9c72b6c10b06514ad30e846a0d0917ab406186541fe68b451",
+                "sha256:e711fc1acc7468463bc084d1b68561e40d1eaa135d8c509a65dd534403d83d7b",
+                "sha256:f28b29dc158ca5d6ac396c8e0a2ef45c4e97bb7e65522bfc04c989e6fe814575",
+                "sha256:f335579a1b485c834849e9075191c9898e0731af45705c2ebf70e0cd5d58beed",
+                "sha256:fce6fee67c318fdfb7f285c29a82d84782ae2579c0e1b385b7f36c6e8074fffb",
+                "sha256:fd136bb85f4568fffca995bd3c8d52080b1e5b225dbf1c2b17b66b4c5fa02838"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==1.16.0"
+            "markers": "python_version >= '3.8'",
+            "version": "==1.17.0"
         },
         "zipp": {
             "hashes": [
-                "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19",
-                "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"
+                "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4",
+                "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==3.19.2"
+            "markers": "python_version >= '3.9'",
+            "version": "==3.21.0"
         }
     }
 }
diff --git a/gx_suite_definitions/gene_info.ipynb b/gx_suite_definitions/gene_info.ipynb
index 1def5a28..f8095045 100644
--- a/gx_suite_definitions/gene_info.ipynb
+++ b/gx_suite_definitions/gene_info.ipynb
@@ -236,7 +236,7 @@
     "validator.expect_column_values_to_be_of_type(\"median_expression\", \"str\")\n",
     "with open(\"../src/agoradatatools/great_expectations/gx/json_schemas/gene_info/median_expression.json\", \"r\") as file:\n",
     "    median_expression_schema = json.load(file)\n",
-    "validator.expect_column_values_to_match_json_schema(\"median_expression\", json_schema=median_expression_schema)"
+    "validator.expect_column_values_to_match_json_schema(\"median_expression\", json_schema=median_expression_schema, mostly=0.95)"
    ]
   },
   {
@@ -271,7 +271,7 @@
    "source": [
     "# biodomains\n",
     "validator.expect_column_values_to_be_of_type(\"biodomains\", \"list\")\n",
-    "validator.expect_column_values_to_have_list_members_of_type(column=\"biodomains\", member_type=\"str\")\n",
+    "validator.expect_column_values_to_have_list_members_of_type(column=\"biodomains\", member_type=\"str\", mostly=0.95)\n",
     "validator.expect_column_values_to_have_list_members(column=\"biodomains\", list_members={\n",
     "        'Apoptosis',\n",
     "        'Vasculature',\n",
@@ -350,7 +350,7 @@
    "outputs": [],
    "source": [
     "# uniprotkb_accessions\n",
-    "validator.expect_column_values_to_be_of_type(\"uniprotkb_accessions\", \"list\")\n",
+    "validator.expect_column_values_to_be_of_type(\"uniprotkb_accessions\", \"list\", mostly=0.95)\n",
     "validator.expect_column_values_to_have_list_members_of_type(column=\"uniprotkb_accessions\", member_type=\"str\")"
    ]
   },
diff --git a/setup.cfg b/setup.cfg
index 86a94bba..56e163cf 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -36,7 +36,7 @@ install_requires =
     pandas~=2.0.0
     numpy~=1.21
     setuptools~=70.0.0
-    synapseclient~=4.0.0
+    synapseclient==4.4.1
     PyYAML~=6.0
     pyarrow~=14.0.1
     typer~=0.7.0
diff --git a/src/agoradatatools/great_expectations/gx/expectations/gene_info.json b/src/agoradatatools/great_expectations/gx/expectations/gene_info.json
index 7c913cd9..9ca0d112 100644
--- a/src/agoradatatools/great_expectations/gx/expectations/gene_info.json
+++ b/src/agoradatatools/great_expectations/gx/expectations/gene_info.json
@@ -411,7 +411,8 @@
             "array",
             "null"
           ]
-        }
+        },
+        "mostly": 0.95
       },
       "meta": {}
     },
@@ -505,7 +506,8 @@
       "expectation_type": "expect_column_values_to_have_list_members_of_type",
       "kwargs": {
         "column": "biodomains",
-        "member_type": "str"
+        "member_type": "str",
+        "mostly": 0.95
       },
       "meta": {}
     },
@@ -514,25 +516,25 @@
       "kwargs": {
         "column": "biodomains",
         "list_members": [
-          "Apoptosis",
+          "Myelination",
           "Vasculature",
-          "Lipid Metabolism",
-          "Oxidative Stress",
-          "Mitochondrial Metabolism",
-          "APP Metabolism",
-          "Proteostasis",
-          "DNA Repair",
           "Synapse",
           "Immune Response",
-          "Tau Homeostasis",
+          "DNA Repair",
+          "Autophagy",
+          "Endolysosome",
+          "Proteostasis",
+          "Mitochondrial Metabolism",
           "Cell Cycle",
           "Epigenetic",
+          "Lipid Metabolism",
           "Metal Binding and Homeostasis",
-          "Endolysosome",
-          "Structural Stabilization",
-          "Myelination",
           "RNA Spliceosome",
-          "Autophagy"
+          "Tau Homeostasis",
+          "Apoptosis",
+          "Oxidative Stress",
+          "APP Metabolism",
+          "Structural Stabilization"
         ]
       },
       "meta": {}
@@ -640,6 +642,7 @@
       "expectation_type": "expect_column_values_to_be_of_type",
       "kwargs": {
         "column": "uniprotkb_accessions",
+        "mostly": 0.95,
         "type_": "list"
       },
       "meta": {}
diff --git a/src/agoradatatools/gx.py b/src/agoradatatools/gx.py
index 9f9ab6bc..1d4ae9ec 100644
--- a/src/agoradatatools/gx.py
+++ b/src/agoradatatools/gx.py
@@ -17,10 +17,22 @@
 
 
 class GreatExpectationsRunner:
-    """Class to run great expectations on a dataset and upload the HTML report to Synapse"""
+    """Class to run great expectations on a dataset and upload the HTML report to Synapse
+
+    Attributes:
+        failures (bool): Whether or not the GX run had any failed expectations.
+        failure_message (str): Message of the GX run if any expectations failed.
+        warnings (bool): Whether or not the GX run had any warnings.
+        warning_message (str): Summary message for the GX run if any expectations had warnings.
+        report_file (str): Synapse ID of the GX report file.
+        report_version (int): Version number of the GX report file.
+        report_link (str): URL of the specific version of the GX report file.
+    """
 
     failures: bool = False
     failure_message: Optional[str] = None
+    warnings: bool = False
+    warning_message: Optional[str] = None
     report_file: Optional[str] = None
     report_version: Optional[int] = None
     report_link: Optional[str] = None
@@ -67,7 +79,7 @@ def _get_data_context_location(self) -> str:
         gx_directory = os.path.join(script_dir, "great_expectations")
         return gx_directory
 
-    def _check_if_expectation_suite_exists(self) -> bool:
+    def check_if_expectation_suite_exists(self) -> bool:
         """Checks if the expectation suite exists in the great_expectations workspace"""
         exists = (
             self.expectation_suite_name in self.context.list_expectation_suite_names()
@@ -78,7 +90,7 @@ def _check_if_expectation_suite_exists(self) -> bool:
             )
         return exists
 
-    def _get_results_path(self, checkpoint_result: CheckpointResult) -> str:
+    def get_results_path(self, checkpoint_result: CheckpointResult) -> str:
         """Gets the path to the most recent HTML report for a checkpoint,
         copies it to a Synapse-API friendly name, and returns the new path
 
@@ -106,7 +118,7 @@ def _get_results_path(self, checkpoint_result: CheckpointResult) -> str:
         shutil.copy(original_results_path, new_results_path)
         return new_results_path
 
-    def _upload_results_file_to_synapse(self, results_path: str) -> None:
+    def upload_results_file_to_synapse(self, results_path: str) -> None:
         """Uploads a results file to Synapse. Assigns class attributes associated
         with the report file.
 
@@ -148,43 +160,61 @@ def convert_nested_columns_to_json(
             df[column] = df[column].apply(json.dumps)
         return df
 
-    def get_failed_expectations(self, checkpoint_result: CheckpointResult) -> str:
-        """Gets the failed expectations from a CheckpointResult and returns them as a formatted string
+    def set_warnings_and_failures(self, checkpoint_result: CheckpointResult) -> None:
+        """Sets class attributes for warnings and failures given a CheckpointResult
 
         Args:
             checkpoint_result (CheckpointResult): CheckpointResult object
-
-        Returns:
-            fail_message (str): String with information on which fields and expectations failed
         """
+        warning_dict = {self.expectation_suite_name: {}}
         fail_dict = {self.expectation_suite_name: {}}
         expectation_results = checkpoint_result.list_validation_results()[0]["results"]
+
         for result in expectation_results:
-            if not result["success"]:
-                column = result["expectation_config"]["kwargs"]["column"]
-                failed_expectation = result["expectation_config"]["expectation_type"]
-                if not fail_dict[self.expectation_suite_name].get(column, None):
-                    fail_dict[self.expectation_suite_name][column] = []
-                fail_dict[self.expectation_suite_name][column].append(
-                    failed_expectation
+            column = result["expectation_config"]["kwargs"].get(
+                "column",
+                "/".join(result["expectation_config"]["kwargs"].get("column_list", [])),
+            )
+            expectation = result["expectation_config"]["expectation_type"]
+            if result["success"]:
+                if result["result"].get("partial_unexpected_list", None):
+                    warning_dict[self.expectation_suite_name].setdefault(
+                        column, []
+                    ).append(expectation)
+            else:
+                fail_dict[self.expectation_suite_name].setdefault(column, []).append(
+                    expectation
                 )
+
+        self.warning_message, self.warnings = self._generate_message(
+            warning_dict, "warnings"
+        )
+        self.failure_message, self.failures = self._generate_message(
+            fail_dict, "failures"
+        )
+
+    def _generate_message(
+        self, result_dict: dict, message_type: str
+    ) -> typing.Tuple[str, bool]:
+        """Generate message and status for warnings or failures."""
         messages = []
-        for _, fields_dict in fail_dict.items():
-            for field, failed_expectations in fields_dict.items():
+        for suite_name, fields_dict in result_dict.items():
+            for field, expectations in fields_dict.items():
                 messages.append(
-                    f"{field} has failed expectations {', '.join(failed_expectations)}"
+                    f"In the {suite_name} dataset, '{field}' has failed values for expectations {', '.join(expectations)}"
                 )
-
-        fail_message = ("Great Expectations data validation has failed: ") + "; ".join(
-            messages
+        message = (
+            (f"Great Expectations data validation has the following {message_type}: ")
+            + "; ".join(messages)
+            if messages
+            else None
         )
-
-        return fail_message
+        return message, bool(message)
 
     def run(self) -> None:
         """Run great expectations on a dataset and upload the results to Synapse."""
 
-        if not self._check_if_expectation_suite_exists():
+        if not self.check_if_expectation_suite_exists():
             return
 
         logger.info(f"Running data validation on {self.expectation_suite_name}")
@@ -209,11 +239,9 @@ def run(self) -> None:
         logger.info(
             f"Data validation complete for {self.expectation_suite_name}. Uploading results to Synapse."
         )
-        latest_reults_path = self._get_results_path(checkpoint_result)
+        latest_reults_path = self.get_results_path(checkpoint_result)
 
-        if self.upload_folder:
-            self._upload_results_file_to_synapse(latest_reults_path)
+        self.set_warnings_and_failures(checkpoint_result)
 
-        if not checkpoint_result.success:
-            self.failures = True
-            self.failure_message = self.get_failed_expectations(checkpoint_result)
+        if self.upload_folder:
+            self.upload_results_file_to_synapse(latest_reults_path)
diff --git a/src/agoradatatools/process.py b/src/agoradatatools/process.py
index 39a60e9a..3fd7951a 100644
--- a/src/agoradatatools/process.py
+++ b/src/agoradatatools/process.py
@@ -160,6 +160,8 @@ def process_dataset(
             ),
             gx_failures=gx_runner.failures,
             gx_failure_message=gx_runner.failure_message,
+            gx_warnings=gx_runner.warnings,
+            gx_warning_message=gx_runner.warning_message,
         )
 
         if upload and not gx_runner.failures:
diff --git a/src/agoradatatools/reporter.py b/src/agoradatatools/reporter.py
index fd321650..bdea3602 100644
--- a/src/agoradatatools/reporter.py
+++ b/src/agoradatatools/reporter.py
@@ -22,6 +22,8 @@ class DatasetReport:
         gx_report_link: URL of the specific version of the GX report file.
         gx_failures: Whether or not the GX run had any failed expectations.
         gx_failure_message: Message of the GX run if any expectations failed.
+        gx_warnings: Whether or not the GX run had any warnings.
+        gx_warning_message: Summary message for the GX run if any expectations had warnings.
         adt_output_file: Synapse ID of the ADT output file.
         adt_output_version: Version number of the ADT output file.
         adt_output_link: URL of the specific version of the ADT output file.
@@ -39,6 +41,8 @@ class DatasetReport:
     gx_report_link: Optional[str] = field(default=None)
     gx_failures: Optional[bool] = field(default=False)
     gx_failure_message: Optional[str] = field(default=None)
+    gx_warnings: Optional[bool] = field(default=False)
+    gx_warning_message: Optional[str] = field(default=None)
     adt_output_file: Optional[str] = field(default=None)
     adt_output_version: Optional[int] = field(default=None)
     adt_output_link: Optional[str] = field(default=None)
diff --git a/tests/test_assets/gx/checkpoint_result_fail.json b/tests/test_assets/gx/checkpoint_result_fail.json
index 968ffb61..bde673b4 100644
--- a/tests/test_assets/gx/checkpoint_result_fail.json
+++ b/tests/test_assets/gx/checkpoint_result_fail.json
@@ -64,7 +64,7 @@
                         }
                     },
                     {
-                        "success": false,
+                        "success": true,
                         "expectation_config": {
                             "expectation_type": "expect_column_value_lengths_to_equal",
                             "kwargs": {
diff --git a/tests/test_assets/gx/checkpoint_result_pass.json b/tests/test_assets/gx/checkpoint_result_pass.json
index 0059b5ae..2666be77 100644
--- a/tests/test_assets/gx/checkpoint_result_pass.json
+++ b/tests/test_assets/gx/checkpoint_result_pass.json
@@ -76,11 +76,9 @@
                         },
                         "result": {
                             "element_count": 15991,
-                            "unexpected_count": 1,
-                            "unexpected_percent": 0.006253517603652055,
-                            "partial_unexpected_list": [
-                                "ENSG00"
-                            ],
+                            "unexpected_count": 0,
+                            "unexpected_percent": 0.0,
+                            "partial_unexpected_list": [],
                             "missing_count": 0,
                             "missing_percent": 0.0,
                             "unexpected_percent_total": 0.006253517603652055,
@@ -115,11 +113,9 @@
                         },
                         "result": {
                             "element_count": 15991,
-                            "unexpected_count": 1,
-                            "unexpected_percent": 0.006253517603652055,
-                            "partial_unexpected_list": [
-                                "ENSG00"
-                            ],
+                            "unexpected_count": 0,
+                            "unexpected_percent": 0.0,
+                            "partial_unexpected_list": [],
                             "missing_count": 0,
                             "missing_percent": 0.0,
                             "unexpected_percent_total": 0.006253517603652055,
diff --git a/tests/test_gx.py b/tests/test_gx.py
index ba2e335e..bf4bc290 100644
--- a/tests/test_gx.py
+++ b/tests/test_gx.py
@@ -47,6 +47,8 @@ def setup_method(self, syn):
     def test_that_an_initialized_runner_has_the_attributes_it_should(self, syn):
         assert self.good_runner.failures is False
         assert self.good_runner.failure_message is None
+        assert self.good_runner.warnings is False
+        assert self.good_runner.warning_message is None
         assert self.good_runner.report_file is None
         assert self.good_runner.report_version is None
         assert self.good_runner.report_link is None
@@ -79,12 +81,12 @@ def test_that_get_data_context_location_returns_the_path_to_the_gx_directory(
     def test_check_if_expectation_suite_exists_returns_false_when_the_expectation_suite_does_not_exist(
         self,
     ):
-        assert self.bad_runner._check_if_expectation_suite_exists() is False
+        assert self.bad_runner.check_if_expectation_suite_exists() is False
 
     def test_check_if_expectation_suite_exists_returns_true_when_the_expectation_suite_exists(
         self,
     ):
-        assert self.good_runner._check_if_expectation_suite_exists() is True
+        assert self.good_runner.check_if_expectation_suite_exists() is True
 
     def test_get_results_path(self):
         expected = (
@@ -109,7 +111,7 @@ def test_get_results_path(self):
         ) as patch_list_validation_result_identifiers, patch.object(
             shutil, "copy"
         ) as patch_copy:
-            result = self.good_runner._get_results_path(mocked_checkpoint_result)
+            result = self.good_runner.get_results_path(mocked_checkpoint_result)
             patch_list_validation_result_identifiers.assert_called_once()
             patch_copy.assert_called_once_with(
                 self.good_runner.validations_path + "/test/path/to/file.html",
@@ -124,7 +126,7 @@ def test_upload_results_file_to_synapse(self):
             "store",
             return_value=File(parent="syn456", id="syn123", versionNumber=1),
         ) as patch_syn_store:
-            self.good_runner._upload_results_file_to_synapse("test_path")
+            self.good_runner.upload_results_file_to_synapse("test_path")
             patch_syn_store.assert_called_once_with(
                 File(path="test_path", parent=self.good_runner.upload_folder),
                 activity=Activity(
@@ -153,22 +155,76 @@ def test_that_convert_nested_columns_to_json_does_nothing_if_no_nested_columns(
         result = self.good_runner.convert_nested_columns_to_json(df, [])
         pd.testing.assert_frame_equal(result, df)
 
-    def test_get_failed_expectations_with_failed_checkpoint_result(self):
-        expected = (
-            "Great Expectations data validation has failed: "
-            "ensembl_gene_id has failed expectations expect_column_value_lengths_to_equal, "
-            "expect_column_values_to_match_regex"
+    def test_generate_message_returns_formatted_strings_as_expected(self):
+        result_dict = {
+            "test_suite": {"test_column": ["expect_column_values_to_be_unique"]}
+        }
+        test_warn_message, test_warn_status = self.good_runner._generate_message(
+            result_dict, "warnings"
+        )
+        assert (
+            test_warn_message
+            == "Great Expectations data validation has the following warnings: "
+            "In the test_suite dataset, 'test_column' has failed values for "
+            "expectations expect_column_values_to_be_unique"
+        )
+        assert test_warn_status is True
+
+        test_fail_message, test_fail_status = self.good_runner._generate_message(
+            result_dict, "failures"
+        )
+        assert (
+            test_fail_message
+            == "Great Expectations data validation has the following failures: "
+            "In the test_suite dataset, 'test_column' has failed values for "
+            "expectations expect_column_values_to_be_unique"
+        )
+        assert test_fail_status is True
+
+    def test_generate_message_returns_none_if_no_messages(self):
+        result_dict = {}
+        test_warn_message, test_warn_status = self.good_runner._generate_message(
+            result_dict, "warnings"
         )
-        fail_message = self.good_runner.get_failed_expectations(
-            self.failed_checkpoint_result
+        assert test_warn_message is None
+        assert test_warn_status is False
+
+        test_fail_message, test_fail_status = self.good_runner._generate_message(
+            result_dict, "failures"
+        )
+        assert test_fail_message is None
+        assert test_fail_status is False
+
+    def test_set_warnings_and_failures_changes_no_attributes_if_everything_passes(self):
+        self.good_runner.set_warnings_and_failures(self.passed_checkpoint_result)
+        assert self.good_runner.warnings is False
+        assert self.good_runner.warning_message is None
+        assert self.good_runner.failures is False
+        assert self.good_runner.failure_message is None
+
+    def test_set_warnings_and_failures_changes_attributes_if_there_are_warnings_and_failures(
+        self,
+    ):
+        self.good_runner.set_warnings_and_failures(self.failed_checkpoint_result)
+        assert self.good_runner.warnings is True
+        assert (
+            self.good_runner.warning_message
+            == "Great Expectations data validation has the following warnings: "
+            "In the metabolomics dataset, 'ensembl_gene_id' has failed values for "
+            "expectations expect_column_value_lengths_to_equal"
+        )
+        assert self.good_runner.failures is True
+        assert self.good_runner.failure_message == (
+            "Great Expectations data validation has the following failures: "
+            "In the metabolomics dataset, 'ensembl_gene_id' has failed values for "
+            "expectations expect_column_values_to_match_regex"
         )
-        assert fail_message == expected
 
     def test_run_when_expectation_suite_exists_and_nested_columns(
         self,
     ):
         with patch.object(
-            self.good_runner, "_check_if_expectation_suite_exists", return_value=True
+            self.good_runner, "check_if_expectation_suite_exists", return_value=True
         ) as patch_check_if_expectation_suite_exists, patch.object(
             pd, "read_json", return_value=pd.DataFrame()
         ) as patch_read_json, patch.object(
@@ -176,16 +232,16 @@ def test_run_when_expectation_suite_exists_and_nested_columns(
             "convert_nested_columns_to_json",
             return_value=pd.DataFrame(),
         ) as patch_convert_nested_columns_to_json, patch.object(
-            self.good_runner, "_get_results_path", return_value="test_path"
+            self.good_runner, "get_results_path", return_value="test_path"
         ) as patch_get_results_path, patch.object(
-            self.good_runner, "_upload_results_file_to_synapse", return_value=None
+            self.good_runner, "upload_results_file_to_synapse", return_value=None
         ) as patch_upload_results_file_to_synapse, patch.object(
             Checkpoint,
             "run",
             return_value=self.passed_checkpoint_result,
         ) as patch_checkpoint_run, patch.object(
-            self.good_runner, "get_failed_expectations", return_value="test"
-        ) as patch_get_failed_expectations:
+            self.good_runner, "set_warnings_and_failures"
+        ) as patch_set_warnings_and_failures:
             self.good_runner.nested_columns = ["a"]
             self.good_runner.run()
             patch_check_if_expectation_suite_exists.assert_called_once()
@@ -196,15 +252,15 @@ def test_run_when_expectation_suite_exists_and_nested_columns(
             patch_checkpoint_run.assert_called_once()
             patch_get_results_path.assert_called_once()
             patch_upload_results_file_to_synapse.assert_called_once_with("test_path")
-            patch_get_failed_expectations.assert_not_called()
-            assert self.good_runner.failures is False
-            assert self.good_runner.failure_message is None
+            patch_set_warnings_and_failures.assert_called_once_with(
+                patch_checkpoint_run.return_value
+            )
 
     def test_run_when_expectation_suite_exists_and_no_nested_columns(
         self,
     ):
         with patch.object(
-            self.good_runner, "_check_if_expectation_suite_exists", return_value=True
+            self.good_runner, "check_if_expectation_suite_exists", return_value=True
         ) as patch_check_if_expectation_suite_exists, patch.object(
             pd, "read_json", return_value=pd.DataFrame()
         ) as patch_read_json, patch.object(
@@ -212,16 +268,16 @@ def test_run_when_expectation_suite_exists_and_no_nested_columns(
             "convert_nested_columns_to_json",
             return_value=pd.DataFrame(),
         ) as patch_convert_nested_columns_to_json, patch.object(
-            self.good_runner, "_get_results_path", return_value="test_path"
+            self.good_runner, "get_results_path", return_value="test_path"
         ) as patch_get_results_path, patch.object(
-            self.good_runner, "_upload_results_file_to_synapse", return_value=None
+            self.good_runner, "upload_results_file_to_synapse", return_value=None
         ) as patch_upload_results_file_to_synapse, patch.object(
             Checkpoint,
             "run",
             return_value=self.passed_checkpoint_result,
         ) as patch_checkpoint_run, patch.object(
-            self.good_runner, "get_failed_expectations", return_value="test"
-        ) as patch_get_failed_expectations:
+            self.good_runner, "set_warnings_and_failures"
+        ) as patch_set_warnings_and_failures:
             self.good_runner.run()
             patch_check_if_expectation_suite_exists.assert_called_once()
             patch_read_json.assert_called_once_with(
@@ -231,15 +287,15 @@ def test_run_when_expectation_suite_exists_and_no_nested_columns(
             patch_checkpoint_run.assert_called_once()
             patch_get_results_path.assert_called_once()
             patch_upload_results_file_to_synapse.assert_called_once_with("test_path")
-            patch_get_failed_expectations.assert_not_called()
-            assert self.good_runner.failures is False
-            assert self.good_runner.failure_message is None
+            patch_set_warnings_and_failures.assert_called_once_with(
+                self.passed_checkpoint_result
+            )
 
     def test_that_run_does_not_complete_when_check_if_expectation_suite_exists_is_false(
         self,
     ):
         with patch.object(
-            self.good_runner, "_check_if_expectation_suite_exists", return_value=False
+            self.good_runner, "check_if_expectation_suite_exists", return_value=False
         ) as patch_check_if_expectation_suite_exists, patch.object(
             pd, "read_json", return_value=pd.DataFrame()
         ) as patch_read_json, patch.object(
@@ -247,15 +303,15 @@ def test_that_run_does_not_complete_when_check_if_expectation_suite_exists_is_fa
             "convert_nested_columns_to_json",
             return_value=pd.DataFrame(),
         ) as patch_convert_nested_columns_to_json, patch.object(
-            self.good_runner, "_get_results_path", return_value="test_path"
+            self.good_runner, "get_results_path", return_value="test_path"
         ) as patch_get_results_path, patch.object(
-            self.good_runner, "_upload_results_file_to_synapse", return_value=None
+            self.good_runner, "upload_results_file_to_synapse", return_value=None
         ) as patch_upload_results_file_to_synapse, patch.object(
             Checkpoint,
             "run",
         ) as patch_checkpoint_run, patch.object(
-            self.good_runner, "get_failed_expectations", return_value="test"
-        ) as patch_get_failed_expectations:
+            self.good_runner, "set_warnings_and_failures"
+        ) as patch_set_warnings_and_failures:
             self.good_runner.run()
             patch_check_if_expectation_suite_exists.assert_called_once()
             patch_read_json.assert_not_called()
@@ -263,15 +319,13 @@ def test_that_run_does_not_complete_when_check_if_expectation_suite_exists_is_fa
             patch_checkpoint_run.assert_not_called()
             patch_get_results_path.assert_not_called()
             patch_upload_results_file_to_synapse.assert_not_called()
-            patch_get_failed_expectations.assert_not_called()
-            assert self.good_runner.failures is False
-            assert self.good_runner.failure_message is None
+            patch_set_warnings_and_failures.assert_not_called()
 
-    def test_run_when_validation_fails(
+    def test_run_when_validation_fails_and_has_warnings(
         self,
     ):
         with patch.object(
-            self.good_runner, "_check_if_expectation_suite_exists", return_value=True
+            self.good_runner, "check_if_expectation_suite_exists", return_value=True
         ) as patch_check_if_expectation_suite_exists, patch.object(
             pd, "read_json", return_value=pd.DataFrame()
         ) as patch_read_json, patch.object(
@@ -279,16 +333,16 @@ def test_run_when_validation_fails(
             "convert_nested_columns_to_json",
             return_value=pd.DataFrame(),
         ) as patch_convert_nested_columns_to_json, patch.object(
-            self.good_runner, "_get_results_path", return_value="test_path"
+            self.good_runner, "get_results_path", return_value="test_path"
         ) as patch_get_results_path, patch.object(
-            self.good_runner, "_upload_results_file_to_synapse", return_value=None
+            self.good_runner, "upload_results_file_to_synapse", return_value=None
         ) as patch_upload_results_file_to_synapse, patch.object(
             Checkpoint,
             "run",
             return_value=self.failed_checkpoint_result,
         ) as patch_checkpoint_run, patch.object(
-            self.good_runner, "get_failed_expectations", return_value="test"
-        ) as patch_get_failed_expectations:
+            self.good_runner, "set_warnings_and_failures"
+        ) as patch_set_warnings_and_failures:
             self.good_runner.run()
             patch_check_if_expectation_suite_exists.assert_called_once()
             patch_read_json.assert_called_once_with(self.good_runner.dataset_path)
@@ -296,17 +350,15 @@ def test_run_when_validation_fails(
             patch_checkpoint_run.assert_called_once()
             patch_get_results_path.assert_called_once()
             patch_upload_results_file_to_synapse.assert_called_once_with("test_path")
-            patch_get_failed_expectations.assert_called_once_with(
+            patch_set_warnings_and_failures.assert_called_once_with(
                 patch_checkpoint_run.return_value
             )
-            assert self.good_runner.failures is True
-            assert self.good_runner.failure_message == "test"
 
     def test_that_that_files_are_not_uploaded_when_upload_folder_is_none(
         self,
     ):
         with patch.object(
-            self.good_runner, "_check_if_expectation_suite_exists", return_value=True
+            self.good_runner, "check_if_expectation_suite_exists", return_value=True
         ) as patch_check_if_expectation_suite_exists, patch.object(
             pd, "read_json", return_value=pd.DataFrame()
         ) as patch_read_json, patch.object(
@@ -314,16 +366,16 @@ def test_that_that_files_are_not_uploaded_when_upload_folder_is_none(
             "convert_nested_columns_to_json",
             return_value=pd.DataFrame(),
         ) as patch_convert_nested_columns_to_json, patch.object(
-            self.good_runner, "_get_results_path", return_value="test_path"
+            self.good_runner, "get_results_path", return_value="test_path"
         ) as patch_get_results_path, patch.object(
-            self.good_runner, "_upload_results_file_to_synapse", return_value=None
+            self.good_runner, "upload_results_file_to_synapse", return_value=None
         ) as patch_upload_results_file_to_synapse, patch.object(
             Checkpoint,
             "run",
             return_value=self.passed_checkpoint_result,
         ) as patch_checkpoint_run, patch.object(
-            self.good_runner, "get_failed_expectations", return_value="test"
-        ) as patch_get_failed_expectations:
+            self.good_runner, "set_warnings_and_failures"
+        ) as patch_set_warnings_and_failures:
             self.good_runner.upload_folder = None
             self.good_runner.run()
             patch_check_if_expectation_suite_exists.assert_called_once()
@@ -332,6 +384,6 @@ def test_that_that_files_are_not_uploaded_when_upload_folder_is_none(
             patch_checkpoint_run.assert_called_once()
             patch_get_results_path.assert_called_once()
             patch_upload_results_file_to_synapse.assert_not_called()
-            patch_get_failed_expectations.assert_not_called()
-            assert self.good_runner.failures is False
-            assert self.good_runner.failure_message is None
+            patch_set_warnings_and_failures.assert_called_once_with(
+                self.passed_checkpoint_result
+            )