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@GomezGab GomezGab commented Jul 15, 2025

Summary by CodeRabbit

  • New Features

    • MSF now yields tree records as edges and nodes and accepts a compact config (nodeLabels, relationshipTypes, weightAttribute, objective).
  • Documentation

    • MSF docs rewritten with updated syntax, returns, examples, graph-creation guidance, and clarified weight/undirected semantics.
  • Chores

    • Added "MSF" to the project wordlist.

✏️ Tip: You can customize this high-level summary in your review settings.

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coderabbitai bot commented Jul 15, 2025

Walkthrough

Documentation for the Minimum Spanning Forest (MSF) algorithm (algorithms/msf.md) was restructured to use a compact config map and now yields edges and nodes; examples, Returns, and Best Practices were updated accordingly. The .wordlist.txt file gained a new token MSF.

Changes

Cohort / File(s) Change Summary
MSF documentation
algorithms/msf.md
Rewrote and reformatted MSF docs: updated YIELD signature from src, dest, weight, relationshipType to edges, nodes; replaced per-option configuration keys with a single config map (nodeLabels, relationshipTypes, weightAttribute, objective); reorganized Returns, Examples, graph-creation snippets, and Best Practices to use the new return fields and config keys.
Wordlist update
.wordlist.txt
Added the single token MSF to the wordlist (one new entry).

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

  • Verify algorithms/msf.md examples and Cypher snippets use the new config keys (weightAttribute, nodeLabels, relationshipTypes, objective) and the YIELD edges, nodes signature.
  • Check Returns table and example result shapes match the updated yield fields.
  • Confirm Best Practices text and examples correctly reflect weightAttribute semantics and undirected assumptions.
  • Ensure .wordlist.txt insertion preserves ordering and tooling expectations.

Poem

I nibble on docs where new maps grow,
Edges and nodes in tidy rows,
A carrot of config tucked in tight,
MSF hops forward with morning light,
Tiny pawprints marking lines of code. 🐇✨

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Title check ⚠️ Warning The pull request title 'MST' does not accurately describe the changes, which are about the MSF (Minimum Spanning Forest) algorithm, not MST (Minimum Spanning Tree). Change the title to 'Update MSF algorithm documentation' or similar to accurately reflect that the changes document the MSF algorithm, not MST.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
✨ Finishing touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch msf

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Actionable comments posted: 0

🧹 Nitpick comments (5)
algorithms/mst.md (5)

38-40: Fix typo and capitalize sentence in weightAttribute row
attribute is misspelled and the sentence should start with an uppercase letter.

-| `weightAttribute`   | string | Unweighted             | the atrribute to use as the tree weight.                                   |
+| `weightAttribute`   | string | Unweighted             | The attribute to use as the tree weight.                                   |

44-46: Correct acronym from “MSF” to “MST”
The table describes the Minimum Spanning Tree; “MSF” is a typo.

-| `edge`   | Edge   | An edge entity which is part of the MSF graph |
+| `edge`   | Edge   | An edge entity which is part of the MST graph |

49-49: Remove trailing colon in heading
Markdown-lint (MD026) flags trailing punctuation.

-## Examples:
+## Examples

79-79: Remove trailing colon in sub-heading
Same MD026 warning as above.

-### Example: Find cheapest road network:
+### Example: Find cheapest road network

84-92: Add blank lines around results table
MD058 requires a blank line before and after tables.

-#### Expected Results
-| Edge      | weight |
-|-----------|--------|
-| `[:ROAD]` | 0.7    |
-| `[:TRAM]` | 1.2    |
-| `[:TRAM]` | 1.5    |
-| `[:ROAD]` | 2.2    |
-| `[:ROAD]` | 2.3    |
-| `[:ROAD]` | 3.0    |
+#### Expected Results
+
+| Edge      | weight |
+|-----------|--------|
+| `[:ROAD]` | 0.7    |
+| `[:TRAM]` | 1.2    |
+| `[:TRAM]` | 1.5    |
+| `[:ROAD]` | 2.2    |
+| `[:ROAD]` | 2.3    |
+| `[:ROAD]` | 3.0    |
+
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⛔ Files ignored due to path filters (1)
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  • algorithms/mst.md (1 hunks)
🧰 Additional context used
🪛 markdownlint-cli2 (0.17.2)
algorithms/mst.md

49-49: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


79-79: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


85-85: Tables should be surrounded by blank lines

(MD058, blanks-around-tables)

🪛 GitHub Actions: spellcheck
algorithms/mst.md

[error] 1-1: Spelling errors detected: 'subgraph', 'atrribute', 'MSF'. Please correct the spelling mistakes.

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Actionable comments posted: 0

🧹 Nitpick comments (6)
algorithms/mst.md (6)

49-49: Remove trailing colon from the heading

Markdown-lint (MD026) flags punctuation at the end of a heading.
Suggested tweak:

-## Examples:
+## Examples

79-79: Same MD026 issue for this sub-heading

-### Example: Find cheapest road network:
+### Example – Find cheapest road network

84-85: Add a blank line before the table

Markdown-lint (MD058) requires tables to be surrounded by blank lines to render properly.

-#### Expected Results
-| Edge      | weight |
+#### Expected Results
+
+| Edge      | weight |

51-51: Apostrophe missing in “Let’s”

-Lets take this City as an example:
+Let's take this City as an example:

20-21: Clarify wording – use “minimum-weight edges”

“Minimum edges” could be misread as “fewest edges”. Re-phrase for precision.

-MST first assigns each node to its own component. It iteratively scans for the minimum edges linking nodes across different components
+MST first assigns each node to its own component. It iteratively scans for the minimum-weight edges linking nodes across different components

22-22: Minor verb agreement

-If no attribute is given, returns any spanning tree.
+If no attribute is given, the procedure returns an arbitrary spanning tree.
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algorithms/mst.md

49-49: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


79-79: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


85-85: Tables should be surrounded by blank lines

(MD058, blanks-around-tables)

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Actionable comments posted: 2

🧹 Nitpick comments (4)
algorithms/mst.md (4)

1-5: Front-matter duplication & missing SEO keywords
title and description repeat the same text, which dings search-ranking and looks sloppy. Consider adding a concise, keyword-rich sentence to description instead of mirroring the title.

-title: "Minimum Spanning Tree (MST)"
-description: "Minimum Spanning Tree (MST)"
+title: "Minimum Spanning Tree (MST)"
+description: "Finds the least-cost (or greatest-cost) spanning sub-graph across weakly connected components."

32-40: Table default for weightAttribute is unclear
“Unweighted” isn’t a real default value. Say None or leave empty so users know they can omit it.


52-74: Minor Cypher style nits in sample graph
Comma-terminated last line before RETURN *, and skipping rE in the edge sequence look untidy and distract readers. Consider:

  1. Drop the trailing comma after the final edge.
  2. Rename rFrE for consistent sequencing.

76-76: Remove trailing colon to silence markdownlint (MD026)
Headings shouldn’t end with punctuation.

-## Examples:
+## Examples
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[grammar] ~89-~89: Ensure spelling is correct
Context: ...## Expected Results The algorithm would yeild the following edge objects and their we...

(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)

🪛 markdownlint-cli2 (0.17.2)
algorithms/mst.md

76-76: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


88-88: Heading levels should only increment by one level at a time
Expected: h3; Actual: h4

(MD001, heading-increment)

🪛 GitHub Actions: spellcheck
algorithms/mst.md

[error] 1-1: Spelling errors detected: 'subgraph', 'yeild'. Please correct the spelling mistakes.

Comment on lines 88 to 90
#### Expected Results
The algorithm would yeild the following edge objects and their weights:

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⚠️ Potential issue

Heading level jump & spelling error break CI

  • #### Expected Results skips a level (MD001).
  • “yeild” → “yield” fails the spell-checker.
-#### Expected Results
-The algorithm would yeild the following edge objects and their weights:
+### Expected Results
+The algorithm would yield the following edge objects and their weights:
📝 Committable suggestion

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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
#### Expected Results
The algorithm would yeild the following edge objects and their weights:
### Expected Results
The algorithm would yield the following edge objects and their weights:
🧰 Tools
🪛 LanguageTool

[grammar] ~89-~89: Ensure spelling is correct
Context: ...## Expected Results The algorithm would yeild the following edge objects and their we...

(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)

🪛 markdownlint-cli2 (0.17.2)

88-88: Heading levels should only increment by one level at a time
Expected: h3; Actual: h4

(MD001, heading-increment)

🤖 Prompt for AI Agents
In algorithms/mst.md around lines 88 to 90, fix the heading level by changing
the heading from #### to ### or another appropriate level to avoid skipping
levels, and correct the spelling mistake by replacing "yeild" with "yield" to
pass the spell-checker.

Comment on lines 20 to 23
MST first assigns each node to its own component. It iteratively scans for the minimum edges linking nodes across different components and merges them, ignoring the direction of edges throughout the process. The algorithm terminates when no further merges occur, producing a collection of trees.

The procedure finds a minimum or maximum weight spanning tree based on the specified `objective` and optimizes for the given `weightAttribute`. If no attribute is given, MST returns any collection of spanning trees. If any specified edges do not have the given weight attribute, or the value of the attribute is non-numeric, then they are treated as if they had infinite weight. Such an edge would only be included in the minimum spanning tree if no other edges with a valid weight attribute bridge the components it connects.

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🛠️ Refactor suggestion

Infinite-weight rule is ambiguous for objective: "maximize"
Treating missing / non-numeric weights as “infinite” works for minimisation, but for maximisation you actually want them to behave as negative infinity so they never get selected. Spell this out (or state that they are excluded) to avoid user confusion & silent logic bugs.

-If any specified edges do not have the given weight attribute, or the value of the attribute is non-numeric, then they are treated as if they had infinite weight.
+If an edge lacks the attribute or the value is non-numeric, it is treated as:
+* `+∞` when `objective = "minimize"`  
+* `−∞` (effectively excluded) when `objective = "maximize"`.
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
MST first assigns each node to its own component. It iteratively scans for the minimum edges linking nodes across different components and merges them, ignoring the direction of edges throughout the process. The algorithm terminates when no further merges occur, producing a collection of trees.
The procedure finds a minimum or maximum weight spanning tree based on the specified `objective` and optimizes for the given `weightAttribute`. If no attribute is given, MST returns any collection of spanning trees. If any specified edges do not have the given weight attribute, or the value of the attribute is non-numeric, then they are treated as if they had infinite weight. Such an edge would only be included in the minimum spanning tree if no other edges with a valid weight attribute bridge the components it connects.
The procedure finds a minimum or maximum weight spanning tree based on the specified `objective` and optimizes for the given `weightAttribute`. If no attribute is given, MST returns any collection of spanning trees.
If an edge lacks the attribute or the value is non-numeric, it is treated as:
* `+∞` when `objective = "minimize"`
* `−∞` (effectively excluded) when `objective = "maximize"`.
Such an edge would only be included in the minimum spanning tree if no other edges with a valid weight attribute bridge the components it connects.
🤖 Prompt for AI Agents
In algorithms/mst.md around lines 20 to 23, clarify the handling of missing or
non-numeric weight attributes for the "maximize" objective. Update the text to
specify that for maximization, such edges should be treated as having negative
infinity weight or be excluded entirely, ensuring they are never selected. This
will prevent ambiguity and potential logic errors when maximizing the spanning
tree weight.

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Actionable comments posted: 0

🧹 Nitpick comments (4)
algorithms/msf.md (4)

76-76: Remove trailing colon in heading for Markdown-lint compliance

Heading ## Examples: ends with a colon, triggering MD026. Drop the colon to silence the linter and keep style consistent with other docs.

-## Examples:
+## Examples

88-88: Fix heading level jump (#######)

#### Expected Results skips a level after ## Examples. Use ### to increment by one, satisfying MD001.

-#### Expected Results
+### Expected Results

89-89: Correct typo “yeild” → “yield”

Simple spelling error in prose.

-The algorithm would yeild the following edge objects and their weights:
+The algorithm would yield the following edge objects and their weights:

55-74: Clarify relationship direction vs. algorithm semantics

The Cypher sample creates directed ROAD / TRAM relationships (-->). Because MSF treats edges as undirected, it may confuse readers why directions are specified. Consider adding a sentence before or after the block to clarify that the procedure ignores direction, or switch to -[:ROAD]- style.

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algorithms/msf.md

[grammar] ~89-~89: Ensure spelling is correct
Context: ...## Expected Results The algorithm would yeild the following edge objects and their we...

(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)

🪛 markdownlint-cli2 (0.17.2)
algorithms/msf.md

76-76: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


88-88: Heading levels should only increment by one level at a time
Expected: h3; Actual: h4

(MD001, heading-increment)

🔇 Additional comments (2)
algorithms/msf.md (2)

82-83: Verify image paths

../images/city_plan.png and ../images/city_msf.png may break if the docs site’s build moves the Markdown file. Confirm the relative path is valid in the final site hierarchy or use an absolute docs-relative path.


1-90: Overall: solid, well-structured doc

Content reads clearly, parameters & returns are explicit, and examples are practical. With the minor polish above, it’s good to merge.

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gkorland commented Aug 4, 2025

@GomezGab please see the spellchecker errors

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Actionable comments posted: 4

🧹 Nitpick comments (5)
algorithms/msf.md (5)

11-11: Minor wording: “bidirectional” and clarity

Prefer “bidirectional” and tighten the sentence.

-The Minimum Spanning Forest (MSF) finds the relationships with minimum weights such that any weakly connected component in the graph stays connected. It treats all edges as bi-directional and ensures that any pair of nodes that previously shared a path will still share a unique path in the MSF graph. 
+The Minimum Spanning Forest (MSF) selects lowest-weight relationships that keep each weakly connected component connected. It treats all edges as bidirectional and ensures that any pair of nodes that previously shared a path still share a unique path in the MSF graph.

20-21: Clarify “minimum edges” and end-condition

  • “minimum edges” → “minimum-weight edges”
  • Prefer “set of trees” for precision.
-MSF first assigns each node to its own component. It iteratively scans for the minimum edges linking nodes across different components and merges them, ignoring the direction of edges throughout the process. The algorithm terminates when no further merges occur, producing a collection of trees.
+MSF first assigns each node to its own component. It iteratively selects the minimum‑weight edges that link nodes across different components and merges them, ignoring edge direction throughout. The algorithm terminates when no further merges occur, producing a set of trees.

41-48: Minor table nit: article usage and phrasing

Tighten phrasing for tables.

-The procedure returns a stream of records corresponding to each tree in the forest with the following fields:
+The procedure returns a stream of records, one per tree in the forest, with the following fields:

73-73: Fix heading punctuation (MD026)

Remove trailing colon.

-## Examples:
+## Examples

85-86: Fix heading level increment (MD001) and style

Promote to h3 and use sentence case.

-#### Expected Results
+### Expected results
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algorithms/msf.md

[grammar] ~14-~14: There might be a mistake here.
Context: ... road network connecting several cities. - Power Grid / Utility cost optimization. ...

(QB_NEW_EN)


[grammar] ~15-~15: There might be a mistake here.
Context: ... Power Grid / Utility cost optimization. - Identifying redundancies in networks. #...

(QB_NEW_EN)


[grammar] ~41-~41: There might be a mistake here.
Context: ... | ### Return Values The procedure returns a stream of record...

(QB_NEW_EN)


[grammar] ~44-~44: There might be a mistake here.
Context: ...ype | Description | |---------|------|----------------------...

(QB_NEW_EN)


[grammar] ~45-~45: There might be a mistake here.
Context: ...----|----------------------------------| | edges | List | The edges that connec...

(QB_NEW_EN)


[grammar] ~46-~46: There might be a mistake here.
Context: ...ist | The edges that connect each tree | | nodes | List | The nodes in the tree...

(QB_NEW_EN)


[grammar] ~85-~85: There might be a mistake here.
Context: ... edge, weight ``` #### Expected Results The algorithm would yield a single tree ...

(QB_NEW_EN)

🪛 markdownlint-cli2 (0.17.2)
algorithms/msf.md

73-73: Trailing punctuation in heading
Punctuation: ':'

(MD026, no-trailing-punctuation)


85-85: Heading levels should only increment by one level at a time
Expected: h3; Actual: h4

(MD001, heading-increment)

🔇 Additional comments (2)
.wordlist.txt (1)

64-64: LGTM: add "MSF" to wordlist

Acronym addition looks correct and should resolve the spellchecker complaint for "MSF".

algorithms/msf.md (1)

79-88: Images found — no broken links in algorithms/msf.md

Both images referenced in algorithms/msf.md (lines 79–88) are present in the repo at:

  • images/city_plan.png
  • images/city_msf.png

Comment on lines 14 to 17
- Designing a cost-effective road network connecting several cities.
- Power Grid / Utility cost optimization.
- Identifying redundancies in networks.

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🛠️ Refactor suggestion

Fix bullet grammar/style to satisfy spellchecker and readability

  • Avoid "Power Grid / Utility" slash construction.
  • Use parallel structure and sentence casing.

Apply:

- MSF serves as a common algorithm in scenarios such as:
-- Designing a cost-effective road network connecting several cities.
-- Power Grid / Utility cost optimization.
-- Identifying redundancies in networks.
+ MSF is commonly used in scenarios such as:
+ - Designing a cost-effective road network connecting several cities
+ - Power grid and utility cost optimization
+ - Identifying redundancies in networks
📝 Committable suggestion

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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
- Designing a cost-effective road network connecting several cities.
- Power Grid / Utility cost optimization.
- Identifying redundancies in networks.
MSF is commonly used in scenarios such as:
- Designing a cost-effective road network connecting several cities
- Power grid and utility cost optimization
- Identifying redundancies in networks
🧰 Tools
🪛 LanguageTool

[grammar] ~14-~14: There might be a mistake here.
Context: ... road network connecting several cities. - Power Grid / Utility cost optimization. ...

(QB_NEW_EN)


[grammar] ~15-~15: There might be a mistake here.
Context: ... Power Grid / Utility cost optimization. - Identifying redundancies in networks. #...

(QB_NEW_EN)

🤖 Prompt for AI Agents
In algorithms/msf.md around lines 14 to 17, the three bullet items use
inconsistent casing and a slash ("Power Grid / Utility") and need parallel
sentence-case phrasing for spellchecker and readability; replace the bullets
with parallel, sentence-case phrases such as "Designing a cost-effective road
network connecting several cities.", "Power grid and utility cost
optimization.", and "Identifying redundancies in networks." ensuring each bullet
starts with a capital letter and uses consistent grammatical structure.

Comment on lines 34 to 40
| Name | Type | Default | Description |
|---------------------|--------|------------------------|----------------------------------------------------------------------------|
| `nodeLabels` | Array | All labels | Array of node labels to filter which nodes are included in the computation |
| `relationshipTypes` | Array | All relationship types | Array of relationship types to define which edges are traversed |
| `objective` | string | 'minimize' | 'minimize' or 'maximize' what to optimize in the spanning tree |
| `weightAttribute` | string | Unweighted | the attribute to use as the tree weight. |

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🛠️ Refactor suggestion

Parameter descriptions: precision and consistency

  • “spanning tree” → “spanning forest”
  • Clarify objective
  • Clarify weightAttribute applies to edges.
-| `objective`         | string | 'minimize'             | 'minimize' or 'maximize' what to optimize in the spanning tree             |
-| `weightAttribute`   | string | Unweighted             | the attribute to use as the tree weight.                                   |
+| `objective`         | string | 'minimize'             | Whether to minimize or maximize the total edge weight of the spanning forest |
+| `weightAttribute`   | string | Unweighted             | Edge property name to use as the weight                                    |
📝 Committable suggestion

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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
| Name | Type | Default | Description |
|---------------------|--------|------------------------|----------------------------------------------------------------------------|
| `nodeLabels` | Array | All labels | Array of node labels to filter which nodes are included in the computation |
| `relationshipTypes` | Array | All relationship types | Array of relationship types to define which edges are traversed |
| `objective` | string | 'minimize' | 'minimize' or 'maximize' what to optimize in the spanning tree |
| `weightAttribute` | string | Unweighted | the attribute to use as the tree weight. |
| Name | Type | Default | Description |
|---------------------|--------|------------------------|----------------------------------------------------------------------------|
| `nodeLabels` | Array | All labels | Array of node labels to filter which nodes are included in the computation |
| `relationshipTypes` | Array | All relationship types | Array of relationship types to define which edges are traversed |
| `objective` | string | 'minimize' | Whether to minimize or maximize the total edge weight of the spanning forest |
| `weightAttribute` | string | Unweighted | Edge property name to use as the weight |
🤖 Prompt for AI Agents
In algorithms/msf.md around lines 34 to 40, update the parameter table
descriptions for precision and consistency: replace occurrences of “spanning
tree” with “spanning forest”, change the `objective` description to explicitly
state it accepts 'minimize' or 'maximize' (e.g., "Objective to minimize or
maximize the total weight of the forest"), and clarify `weightAttribute` by
noting it applies to edges (e.g., "Edge attribute name to use as the weight;
omit for unweighted").

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Actionable comments posted: 3

♻️ Duplicate comments (2)
algorithms/msf.md (2)

39-44: Parameter table descriptions still mention “spanning tree” and are ambiguous about edge weights.
This is the same inconsistency previously flagged; update objective to “minimize/maximize total edge weight of the spanning forest” and clarify weightAttribute is an edge property name.


46-53: Return schema mismatch: docs say edges/nodes, example yields edge, weight.
This is the same inconsistency previously flagged; either update the example to YIELD edges, nodes (and show a RETURN) or change the Return Values table to match the real output.

Also applies to: 86-88

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  • algorithms/msf.md (3 hunks)
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  • .wordlist.txt
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🪛 markdownlint-cli2 (0.18.1)
algorithms/msf.md

90-90: Heading levels should only increment by one level at a time
Expected: h3; Actual: h4

(MD001, heading-increment)

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Actionable comments posted: 2

♻️ Duplicate comments (2)
algorithms/msf.md (2)

43-44: Parameter descriptions should reference spanning forest (not tree) and clarify scope.

Lines 43–44 refer to "spanning tree" instead of "spanning forest" (for consistency with the overall terminology) and lack clarity about whether attributes apply to edges or nodes.

-| `objective`         | string | 'minimize'             | 'minimize' or 'maximize' what to optimize in the spanning tree             |
-| `weightAttribute`   | string | Unweighted             | the attribute to use as the tree weight.                                   |
+| `objective`         | string | 'minimize'             | Whether to minimize or maximize the total edge weight of the spanning forest |
+| `weightAttribute`   | string | Unweighted             | Edge property name to use as the weight; omit for unweighted               |

46-52: CRITICAL: Return Values table documents incorrect fields and types.

The table lists edges (List) and nodes (List), but the official FalkorDB API actually returns:

  • src (Node)
  • dest (Node)
  • weight (Float)
  • relationshipType (String)

Update the table to reflect the actual procedure output.

 | Name    | Type | Description                      |
 |---------|------|----------------------------------|
-| `edges` | List | The edges that connect each tree |
-| `nodes` | List | The nodes in the tree            |
+| `src`              | Node   | Source node of the edge in the spanning forest    |
+| `dest`             | Node   | Destination node of the edge in the spanning forest |
+| `weight`           | Float  | Weight or cost of the edge                         |
+| `relationshipType` | String | Type of the relationship for the edge              |
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  • algorithms/msf.md (3 hunks)

Comment on lines 29 to +32
```cypher
CALL algo.MSF(
config: MAP
) YIELD src, dest, weight, relationshipType
) YIELD edges, nodes
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⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

🏁 Script executed:

# Search for MSF procedure definition or implementation
find . -type f \( -name "*.md" -o -name "*.cypher" -o -name "*.java" -o -name "*.js" -o -name "*.py" \) | head -20

Repository: FalkorDB/docs

Length of output: 586


🏁 Script executed:

# Search for MSF implementation or references
rg "algo\.MSF|CALL.*MSF" -i --type-list

Repository: FalkorDB/docs

Length of output: 446


🏁 Script executed:

# Look for the MSF algorithm implementation
rg "def.*MSF|class.*MSF|function.*MSF" -i --type-list

Repository: FalkorDB/docs

Length of output: 446


🏁 Script executed:

# Search for any test files or examples showing MSF YIELD output
rg "MSF.*YIELD|YIELD.*src.*dest|YIELD.*edges.*nodes" -i

Repository: FalkorDB/docs

Length of output: 173


🏁 Script executed:

# Check the specific lines in msf.md file
head -100 algorithms/msf.md | tail -80

Repository: FalkorDB/docs

Length of output: 3656


🏁 Script executed:

# Search for any reference to FalkorDB source or implementation
rg "github.com/falkordb|FalkorDB" --type md | head -10

Repository: FalkorDB/docs

Length of output: 1172


🏁 Script executed:

# Look for any references or links to official FalkorDB repository
rg "falkordb" -i --type md | grep -i "source\|repo\|github\|implementation" | head -10

Repository: FalkorDB/docs

Length of output: 1884


🌐 Web query:

FalkorDB algo.MSF YIELD signature official API documentation

💡 Result:

Signature (from official docs):

CALL algo.MSF(config: MAP) YIELD src, dest, weight, relationshipType. [1]

Where:

  • config: MAP — algorithm options (sourceNodes, relationshipTypes, relationshipWeightProperty, defaultValue).
  • Yields: src (Node), dest (Node), weight (Float), relationshipType (String). [1][2]

Sources: FalkorDB algorithm docs (MSF) and Procedures overview. [1] https://docs.falkordb.com/algorithms/msf.html [2] https://docs.falkordb.com/cypher/procedures.html


🌐 Web query:

FalkorDB Minimum Spanning Forest algorithm procedure yields fields

💡 Result:

FalkorDB's MSF procedure (CALL algo.MSF(...)) yields these fields: src, dest, weight, relationshipType. [1][2]

Sources:

  • FalkorDB MSF algorithm docs. [1]
  • FalkorDB Procedures reference (algo.MSF entry). [2]

CRITICAL: Procedure signature and examples do not match the official FalkorDB API.

The official FalkorDB MSF procedure yields src, dest, weight, relationshipType—not edges, nodes. This affects multiple sections:

  • Line 32 (Syntax): Shows YIELD edges, nodes (incorrect)
  • Lines 49–52 (Return Values table): Lists edges and nodes (incorrect)
  • Line 87 (Example): Shows YIELD edge, weight (also incorrect)

Update all three sections to reflect the actual API:

 ```cypher
 CALL algo.MSF(
     config: MAP
-) YIELD edges, nodes
+) YIELD src, dest, weight, relationshipType

Update the Return Values table to:

| Name | Type | Description |
|------|------|-------------|
| `src` | Node | Source node of the edge |
| `dest` | Node | Destination node of the edge |
| `weight` | Float | Weight of the edge |
| `relationshipType` | String | Type of the relationship |

Update the example at line 87 from `YIELD edge, weight` to `YIELD src, dest, weight, relationshipType`.

<details>
<summary>🤖 Prompt for AI Agents</summary>

In algorithms/msf.md around lines 29–32, 49–52 and 87, the MSF procedure
signature and examples use incorrect yield names; replace the incorrect "YIELD
edges, nodes" at lines 29–32 with "YIELD src, dest, weight, relationshipType",
update the Return Values table at lines 49–52 to list src (Node), dest (Node),
weight (Float), relationshipType (String) with the provided descriptions, and
change the example at line 87 from "YIELD edge, weight" to "YIELD src, dest,
weight, relationshipType".


</details>

<!-- fingerprinting:phantom:triton:mongoose -->

<!-- This is an auto-generated comment by CodeRabbit -->

Comment on lines 86 to 88
```cypher
MATCH (start:City) WHERE start.name IN ['A', 'B']
WITH collect(start) AS startNodes
CALL algo.MSF({
sourceNodes: startNodes,
relationshipWeightProperty: 'distance'
}) YIELD src, dest, weight
RETURN src.name AS from, dest.name AS to, weight
CALL algo.MSF({weightAttribute: 'cost'}) YIELD edge, weight
```
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⚠️ Potential issue | 🔴 Critical

CRITICAL: Example YIELD clause contradicts documented and actual API.

Line 87 shows YIELD edge, weight, which matches neither the documented schema (edges, nodes) nor the official FalkorDB API (src, dest, weight, relationshipType).

Update the example to match the actual API:

 ```cypher
-CALL algo.MSF({weightAttribute: 'cost'}) YIELD edge, weight
+CALL algo.MSF({weightAttribute: 'cost'}) YIELD src, dest, weight, relationshipType
+RETURN src, dest, weight, relationshipType

<details>
<summary>🤖 Prompt for AI Agents</summary>

In algorithms/msf.md around lines 86 to 88, the example YIELD clause is
incorrect; replace the existing "YIELD edge, weight" with "YIELD src, dest,
weight, relationshipType" and add a "RETURN src, dest, weight, relationshipType"
after the CALL so the example matches the actual FalkorDB API and the documented
schema.


</details>

<!-- fingerprinting:phantom:triton:mongoose -->

<!-- This is an auto-generated comment by CodeRabbit -->

Add front matter to MSF algorithm documentation
@gkorland gkorland requested a review from swilly22 December 14, 2025 13:43
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Actionable comments posted: 0

🧹 Nitpick comments (2)
algorithms/msf.md (2)

45-45: Terminology consistency: "tree weight" should be "forest weight".

Line 45 uses "tree weight" but the algorithm and all documentation refers to "spanning forest". Update for consistency.

-| `weightAttribute`   | string | Unweighted             | the attribute to use as the tree weight.                                   |
+| `weightAttribute`   | string | Unweighted             | the attribute to use as the spanning forest weight.                        |

50-53: Terminology consistency: "tree" should be "spanning forest" in Return Values descriptions.

Lines 52–53 use "tree" when the documented output represents the spanning forest structure. Update for consistency with the rest of the documentation.

 | Name    | Type | Description                      |
 |---------|------|----------------------------------|
-| `edges` | List | The edges that connect each tree |
-| `nodes` | List | The nodes in the tree            |
+| `edges` | List | The edges in the spanning forest |
+| `nodes` | List | The nodes in the spanning forest |
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🔇 Additional comments (3)
algorithms/msf.md (3)

10-19: Clear and well-structured introduction.

The definition and "What is a Minimum Spanning Forest?" section effectively explain the algorithm, clearly distinguish between connected and disconnected graph cases, and maintain consistent terminology.


21-26: Strong use cases with parallel structure.

The use cases section provides clear, practical examples with consistent formatting and parallel structure.


58-89: Graph creation, example query, and best practices are well-structured.

The CREATE statement, example scenario, query syntax, and best practices section are all properly formatted. The YIELD signature in the query correctly matches the documented API (YIELD edges, nodes), and the best practices list is properly numbered.

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