feat: Add not contains filter operator in DataFrame Operations Component

[Cristhianzl]

This pull request adds support for a new "not contains" filter operator in the DataFrameOperationsComponent, allowing users to filter rows where a column does not contain a specified value. The change updates both the UI options and the filtering logic.

Enhancements to DataFrame filtering:

• Added "not contains" to the filter_operator dropdown options in the DataFrameOperationsComponent, expanding the available filter types for users.
• Implemented the "not contains" operator in the filter_rows_by_value method, enabling filtering of rows where the column value does not contain the specified filter value.

Summary by CodeRabbit

• New Features
  • Added a “Not contains” operator to DataFrame filters, letting you exclude rows where a selected column includes a given value. Works with text-like data and handles missing values gracefully. Integrates with existing operators (equals, not equals, contains, starts with, ends with, greater than, less than). Other DataFrame operations (e.g., replace values, drop duplicates) are unchanged.

[coderabbitai]

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Walkthrough

Added a new "not contains" filter operator to DataFrameOperationsComponent and implemented its logic in filter_rows_by_value by negating the string contains check. No other operators or public signatures were changed.

Changes

Cohort / File(s)	Summary of Changes
DataFrame filtering operators src/backend/base/langflow/components/processing/dataframe_operations.py	Introduced "not contains" option in operator dropdown; implemented negated contains mask in filter_rows_by_value. Existing operators and other operations unchanged.

Sequence Diagram(s)

sequenceDiagram
  participant User
  participant Component as DataFrameOperationsComponent
  participant Pandas as pandas.DataFrame

  User->>Component: Select operator ("not contains") and value
  Component->>Pandas: filter_rows_by_value(col.astype(str).str.contains(value, na=False))
  Note right of Component: Negate mask for "not contains"
  Component->>Pandas: Apply ~mask to DataFrame
  Pandas-->>Component: Filtered DataFrame
  Component-->>User: Return result

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Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Possibly related PRs

• feat: enhance DataFrame Operations component with contains filter and modern UI #8838: Extends filtering with "contains"; this PR complements it by adding "not contains" via negation.
• feat: add drop duplicates operation to DataFrameOperationsComponent #8665: Touches the same component and filtering logic while adding "Drop Duplicates" and related operation handling.

Suggested labels

enhancement, size:M, lgtm

Suggested reviewers

• rodrigosnader
• edwinjosechittilappilly
• erichare

✨ Finishing Touches

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• Commit unit tests in branch cz/not-contains-filter-df

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[coderabbitai]

Actionable comments posted: 0

🧹 Nitpick comments (2)

src/backend/base/langflow/components/processing/dataframe_operations.py (2)

257-258: Use regex=False to avoid unintended regex behavior and improve robustness

The implementation is correct and consistent with "contains". However, pandas treats the pattern as a regex by default. This can:

• Surprise users when filter_value has special regex chars (e.g., . * + ?)
• Raise errors for invalid patterns (e.g., unmatched brackets)
• Open the door to performance pitfalls with pathological patterns

Recommend using a literal substring match with regex=False. Apply to "not contains" (below) and, for consistency, also to the existing "contains" case above.

Diff for this block:

-        elif operator == "not contains":
-            mask = ~column.astype(str).str.contains(str(filter_value), na=False)
+        elif operator == "not contains":
+            mask = ~column.astype(str).str.contains(str(filter_value), na=False, regex=False)

Also update the "contains" branch for consistency (outside the selected lines):

elif operator == "contains":
    mask = column.astype(str).str.contains(str(filter_value), na=False, regex=False)

If existing users rely on regex semantics, consider an advanced toggle (e.g., filter_regex: bool) instead of changing defaults.

I can add a small test matrix covering contains/not contains with literals, regex metacharacters, and NaNs. Want me to draft it?

---

312-312: Gracefully handle empty column_name in Drop Duplicates

If column_name is missing/empty, this will raise a KeyError. Defaulting subset=None uses all columns, which is a safer fallback.

-        return DataFrame(df.drop_duplicates(subset=self.column_name))
+        subset = self.column_name if getattr(self, "column_name", None) else None
+        return DataFrame(df.drop_duplicates(subset=subset))

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📥 Commits

Reviewing files that changed from the base of the PR and between 226c71b and f3d0016.

📒 Files selected for processing (1)

• src/backend/base/langflow/components/processing/dataframe_operations.py (3 hunks)

🧰 Additional context used

📓 Path-based instructions (3)

src/backend/base/langflow/components/**/*.py

📄 CodeRabbit Inference Engine (.cursor/rules/backend_development.mdc)

src/backend/base/langflow/components/**/*.py: Add new backend components to the appropriate subdirectory under src/backend/base/langflow/components/
Implement async component methods using async def and await for asynchronous operations
Use asyncio.create_task for background work in async components and ensure proper cleanup on cancellation
Use asyncio.Queue for non-blocking queue operations in async components and handle timeouts appropriately

Files:

• src/backend/base/langflow/components/processing/dataframe_operations.py

{src/backend/**/*.py,tests/**/*.py,Makefile}

📄 CodeRabbit Inference Engine (.cursor/rules/backend_development.mdc)

{src/backend/**/*.py,tests/**/*.py,Makefile}: Run make format_backend to format Python code before linting or committing changes
Run make lint to perform linting checks on backend Python code

Files:

• src/backend/base/langflow/components/processing/dataframe_operations.py

src/backend/**/components/**/*.py

📄 CodeRabbit Inference Engine (.cursor/rules/icons.mdc)

In your Python component class, set the icon attribute to a string matching the frontend icon mapping exactly (case-sensitive).

Files:

• src/backend/base/langflow/components/processing/dataframe_operations.py

🔇 Additional comments (1)

src/backend/base/langflow/components/processing/dataframe_operations.py (1)

82-82: LGTM: "not contains" option added to the dropdown matches backend operator string

The UI option string exactly matches the backend check ("not contains"), so the wiring is correct.

[edwinjosechittilappilly]

LGTM
@jordanrfrazier we might need to add tests later for this PR.
can we add it in follow up PR post release.

[github-actions]

Frontend Unit Test Coverage Report

Coverage Summary

Lines	Statements	Branches	Functions
	6.47% (1680/25935)	3.51% (690/19625)	3.47% (194/5584)

Unit Test Results

Tests	Skipped	Failures	Errors	Time
682	0 💤	0 ❌	0 🔥	11.841s ⏱️

[codecov]

Codecov Report

❌ Patch coverage is 62.96296% with 10 lines in your changes missing coverage. Please review.
✅ Project coverage is 34.59%. Comparing base (2313435) to head (f6a0f2e).
⚠️ Report is 7 commits behind head on main.

Files with missing lines	Patch %	Lines
...e/langflow/components/knowledge_bases/retrieval.py	41.66%	7 Missing ⚠️
...e/langflow/components/knowledge_bases/ingestion.py	83.33%	2 Missing ⚠️
...flow/components/processing/dataframe_operations.py	50.00%	1 Missing ⚠️

❌ Your project status has failed because the head coverage (5.81%) is below the target coverage (10.00%). You can increase the head coverage or adjust the target coverage.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #9415      +/-   ##
==========================================
- Coverage   34.69%   34.59%   -0.11%     
==========================================
  Files        1209     1209              
  Lines       57115    57115              
  Branches     5419     5419              
==========================================
- Hits        19818    19757      -61     
- Misses      37153    37214      +61     
  Partials      144      144              

Flag	Coverage Δ
backend	56.02% <62.96%> (-0.19%)	⬇️
frontend	5.81% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
...gflow/base/knowledge_bases/knowledge_base_utils.py	90.76% <ø> (ø)
...c/backend/base/langflow/components/agents/agent.py	59.24% <100.00%> (ø)
src/frontend/src/utils/styleUtils.ts	49.09% <ø> (ø)
...flow/components/processing/dataframe_operations.py	71.42% <50.00%> (ø)
...e/langflow/components/knowledge_bases/ingestion.py	75.95% <83.33%> (ø)
...e/langflow/components/knowledge_bases/retrieval.py	73.98% <41.66%> (ø)

... and 3 files with indirect coverage changes

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[sonarqubecloud]

Quality Gate passed

Issues
15 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.4% Duplication on New Code

See analysis details on SonarQube Cloud