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Bugfix/match arrays lightning query #5047

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merged 1 commit into from
Nov 5, 2024

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benjaminpkane
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@benjaminpkane benjaminpkane commented Nov 5, 2024

What changes are proposed in this pull request?

Fixes null responses for min / max lightning queries

What areas of FiftyOne does this PR affect?

  • App: FiftyOne application changes
  • Build: Build and test infrastructure changes
  • Core: Core fiftyone Python library changes
  • Documentation: FiftyOne documentation changes
  • Other

Summary by CodeRabbit

  • New Features

    • Enhanced query capabilities for nested arrays in lightning queries.
    • Introduced a new function to match documents based on elements in nested arrays.
  • Bug Fixes

    • Improved the logic of existing functions to better handle complex queries involving lists.

@benjaminpkane benjaminpkane added the server Issues related to server features or changes label Nov 5, 2024
@benjaminpkane benjaminpkane self-assigned this Nov 5, 2024
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coderabbitai bot commented Nov 5, 2024

Walkthrough

The changes introduce a new function, _match_arrays, to the fiftyone/server/lightning.py file, which constructs a MongoDB aggregation pipeline for matching documents based on elements in nested arrays. The existing _first function has been modified to utilize _match_arrays, enhancing its query capabilities for fields containing lists. This update allows for more complex queries that account for nested array structures without altering the signatures of any public or exported entities.

Changes

File Path Change Summary
fiftyone/server/lightning.py - Added new function _match_arrays for constructing a MongoDB aggregation pipeline for nested arrays.
- Updated _first function to call _match_arrays when matched arrays are found.

Poem

In the server's heart, a new path we trace,
With arrays that dance in a nested embrace.
A match is now forged, queries grow bold,
In the world of data, new stories unfold.
Hopping through functions, we cheer and we play,
For each little change brings a brighter day! 🐇✨


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@benjaminpkane benjaminpkane enabled auto-merge (squash) November 5, 2024 21:44
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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)
fiftyone/server/lightning.py (1)

417-434: Add documentation and improve type hints.

While the implementation is correct, consider these improvements for better maintainability:

-def _match_arrays(dataset: fo.Dataset, path: str, is_frame_field: bool):
+def _match_arrays(
+    dataset: fo.Dataset,
+    path: str,
+    is_frame_field: bool,
+) -> t.List[t.Dict[str, t.Any]]:
+    """Build MongoDB pipeline stages for matching documents with array fields.
+
+    Args:
+        dataset: The FiftyOne dataset
+        path: The field path to match
+        is_frame_field: Whether this is a frame-level field
+
+    Returns:
+        A list of pipeline stages that match documents containing arrays
+    """
     keys = path.split(".")
     path = None
     pipeline = []
📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 31f2d7b and 9e00d00.

📒 Files selected for processing (1)
  • fiftyone/server/lightning.py (2 hunks)
🔇 Additional comments (1)
fiftyone/server/lightning.py (1)

366-369: LGTM! Verify array matching behavior.

The integration of _match_arrays into the pipeline looks correct and should fix the null responses for min/max queries on array fields.

Let's verify the fix works for nested arrays:

✅ Verification successful

Array matching implementation is consistent with codebase patterns

The verification shows that:

  • The $unwind operation is consistently used across the codebase for array handling
  • The new _match_arrays implementation follows similar patterns seen in other MongoDB pipeline builders
  • Array field handling is properly integrated with frame fields through is_frame_field checks
  • The implementation aligns with existing array operations in core modules like collections.py, view.py, and aggregations.py
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for similar array matching patterns in the codebase
# to ensure consistent handling across different query types

# Look for other MongoDB pipeline builders that might need similar array matching
rg -l 'append.*\$match.*\$exists' --type py

# Look for test files that verify array queries
rg -l 'test.*array.*query' --type py

Length of output: 113


Script:

#!/bin/bash
# Let's look for array-related test cases and MongoDB pipeline patterns more broadly

# Search for array-related test cases with different patterns
rg -l "test.*array" tests/
rg -l "array.*test" tests/

# Look for MongoDB pipeline patterns with array operations
rg -A 5 '\$unwind|\$match.*array' --type py

# Check the implementation of _match_arrays function
rg -A 10 '_match_arrays' fiftyone/server/lightning.py

# Look for similar array handling patterns
rg -A 5 'is_frame_field.*pipeline' --type py

Length of output: 10222

@benjaminpkane benjaminpkane merged commit 0f54b55 into develop Nov 5, 2024
12 checks passed
@benjaminpkane benjaminpkane deleted the bugfix/match-arrays-lightning-query branch November 5, 2024 21:49
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2 participants