SNOW-1854327: fix test to exclude deleted nodes (#2769)

1. Which Jira issue is this PR addressing? Make sure that there is an
accompanying issue to your PR.

   Fixes SNOW-1854327

2. Fill out the following pre-review checklist:

- [ ] I am adding a new automated test(s) to verify correctness of my
new code
- [ ] If this test skips Local Testing mode, I'm requesting review from
@snowflakedb/local-testing
   - [ ] I am adding new logging messages
   - [ ] I am adding a new telemetry message
   - [ ] I am adding new credentials
   - [ ] I am adding a new dependency
- [ ] If this is a new feature/behavior, I'm adding the Local Testing
parity changes.
- [ ] I acknowledge that I have ensured my changes to be thread-safe.
Follow the link for more information: [Thread-safe Developer
Guidelines](https://github.com/snowflakedb/snowpark-python/blob/main/CONTRIBUTING.md#thread-safe-development)

3. Please describe how your code solves the related issue.

We have a new commit in snowflakedb
(snowflakedb/snowflake#230405) where we stop
showing deleted nodes. This test relies on old behavior where we do show
deleted nodes. The fix is to update the test to not expect deleted
nodes.

Author: sfc-gh-hojha

CHANGELOG.md

@@ -25,6 +25,7 @@
 
 #### Improvements
 - Improve performance of `DataFrame.map`, `Series.apply` and `Series.map` methods by mapping numpy functions to snowpark functions if possible.
+- Updated integration testing for `session.lineage.trace` to exclude deleted objects
 
 ## 1.26.0 (2024-12-05)
 

tests/integ/test_lineage.py

@@ -200,19 +200,10 @@ def test_lineage_trace(session):
     df = remove_created_on_field(df.to_pandas())
 
     expected_data = {
-        "SOURCE_OBJECT": [
-            {"domain": "VIEW", "name": f"{db}.{schema}.V2", "status": "ACTIVE"},
-            {"domain": "VIEW", "name": f"{db}.{schema}.V3", "status": "DELETED"},
-        ],
-        "TARGET_OBJECT": [
-            {"domain": "VIEW", "name": f"{db}.{schema}.V3", "status": "DELETED"},
-            {"domain": "VIEW", "name": f"{db}.{schema}.V4", "status": "ACTIVE"},
-        ],
-        "DIRECTION": [
-            "Downstream",
-            "Downstream",
-        ],
-        "DISTANCE": [1, 2],
+        "SOURCE_OBJECT": [],
+        "TARGET_OBJECT": [],
+        "DIRECTION": [],
+        "DISTANCE": [],
     }
 
     expected_df = pd.DataFrame(expected_data)