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Algorithms section & degree docs #117

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@swilly22 swilly22 commented Jan 16, 2025

Resolves: #118, #119

PR Type

Documentation


Description

  • Added comprehensive documentation for the Degree Procedure.

  • Included syntax, parameters, and output details.

  • Provided example graph setup and usage scenarios.

  • Added multiple examples with results for clarity.


Changes walkthrough 📝

Relevant files
Documentation
degree.md
Added Degree Procedure documentation with examples             

algorithms/degree.md

  • Introduced documentation for the Degree Procedure.
  • Detailed syntax, parameters, and output fields.
  • Included practical use cases and example graph setup.
  • Provided examples with expected results for various scenarios.
  • +149/-0 
    Additional files
    index.md [link]   

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  • Summary by CodeRabbit

    Summary by CodeRabbit

    • Documentation
      • Added comprehensive documentation for the Degree Procedure, including functionality, use cases, syntax, and examples.
      • Introduced a new documentation file titled "Graph Algorithms" for an overview of available algorithms.
      • Updated navigation order for several documentation files to improve accessibility.
      • Included a new entry in the wordlist: influencers.

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    Walkthrough

    The pull request introduces comprehensive documentation for the Degree Procedure in graph algorithms. This documentation details how to calculate node degrees in a graph, covering its purpose, syntax, use cases, and practical examples. It includes information about configuring the procedure with various parameters, demonstrating how to analyze node connectivity across different scenarios and domains. Additionally, a new entry, influencers, is added to a list of terms in a separate file. Furthermore, several documents have been updated to modify their navigation order within the documentation structure.

    Changes

    File Change Summary
    algorithms/degree.md Added new comprehensive documentation for Degree Procedure, including introduction, use cases, syntax, output description, graph setup, and multiple implementation examples.
    .wordlist.txt Added new entry: influencers to the list of terms.
    algorithms/index.md Added new documentation file titled "Graph Algorithms" with an overview of graph algorithms.
    bolt_support.md Updated navigation order: nav_order: 10nav_order: 11.
    clients.md Updated navigation order: nav_order: 4nav_order: 5.
    cypher/index.md Updated navigation order: nav_order: 7nav_order: 9.
    datatypes.md Updated navigation order: nav_order: 5nav_order: 6.
    docker-examples/README.md Updated navigation order: nav_order: 6nav_order: 8.
    integration/index.md Updated navigation order: nav_order: 5nav_order: 7.
    llm_support.md Updated navigation order: nav_order: 8nav_order: 10.
    operations/index.md Updated navigation order: nav_order: 10nav_order: 12.
    redisgraph-to-falkordb.md Updated navigation order: nav_order: 11nav_order: 13.

    Possibly related PRs

    • add migration doc #43: The changes in this PR involve documentation related to graph migration, which may connect to the broader context of graph algorithms, including the Degree Procedure documented in the main PR.
    • add GraphRAG-SDK #107: This PR modifies the index.md file, which could relate to the overall documentation structure for graph algorithms, including the Degree Procedure, as both involve enhancements to graph-related documentation.

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    being processed. The check was running through various markdown files (*.md) when it encountered
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    2:  Ubuntu
    ...
    
    575:  > Processing: commands/graph.copy.md
    576:  > Processing: commands/acl.md
    577:  > Processing: commands/graph.list.md
    578:  > Processing: commands/graph.constraint-drop.md
    579:  > Processing: third-party.md
    580:  > Processing: bolt_support.md
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    General
    Documentation should include performance characteristics to help users understand scalability implications

    Add performance considerations section to document time/space complexity and
    behavior with large graphs.

    algorithms/degree.md [5-6]

     ## Introduction
     
     The **Degree Procedure** calculates the degree of nodes in a graph based on the specified parameters.
     This allows users to analyze the connectivity of nodes in terms of incoming or outgoing edges, filtered by node labels and relationship types.
     
    +### Performance Considerations
    +
    +- Time Complexity: O(N + E) where N is number of nodes and E is number of edges
    +- Space Complexity: O(N) for storing degree counts
    +- For large graphs (>1M nodes), consider using batch processing
    +- Filtering by relationship types may impact performance on dense graphs
    +
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: Performance considerations are crucial for users working with large graphs. The suggestion adds essential information about time/space complexity and practical scaling advice that could prevent performance issues.

    8
    Documentation should include error handling scenarios to help users troubleshoot invalid parameter usage

    Add error handling section to document what happens when invalid parameters are
    passed, such as non-existent node labels or relationship types.

    algorithms/degree.md [29-37]

     ### Parameters
     
     The `config` parameter is a Map object containing the following optional keys:
     
     | Key           | Type   | Default    | Description                                                            |
     | ------------- | ------ | ---------- | ---------------------------------------------------------------------- |
     | `source`      | String | `null`     | Specifies the label of nodes for which the degree is computed.         |
     | `dir`         | String | `outgoing` | Direction of edges to consider: `incoming` or `outgoing`.              |
     | `relation`    | String | `null`     | Specifies the type of edges to consider.                               |
     | `destination` | String | `null`     | Specifies the label of nodes reachable via the edges being considered. |
     
    +### Error Handling
    +
    +The procedure will return an error in the following cases:
    +- If `source` or `destination` specify non-existent node labels
    +- If `relation` specifies a non-existent relationship type  
    +- If `dir` contains an invalid direction (must be 'incoming' or 'outgoing')
    +
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Adding error handling documentation is important for API usability and helps users debug issues. The suggestion provides clear, specific error cases that would be valuable for users to understand.

    7

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    Actionable comments posted: 0

    🧹 Nitpick comments (3)
    algorithms/degree.md (3)

    21-37: Fix grammar in parameter description.

    The description for the relation parameter should be updated for better grammar.

    -| `relation`    | String | `null`     | Specifies the type of edges to consider.                               |
    +| `relation`    | String | `null`     | Specifies the types of edges to consider.                              |
    🧰 Tools
    🪛 LanguageTool

    [grammar] ~35-~35: In this context, ‘type’ should agree in number with the noun after ‘of’.
    Context: ... | String | null | Specifies the type of edges to consider. ...

    (TYPE_OF_PLURAL)

    🪛 GitHub Actions: spellcheck

    [error] Spelling error found: 'influencers' is marked as misspelled


    75-84: Optimize CREATE statements to prevent duplicate nodes.

    The current CREATE statements might create duplicate nodes. Consider using MERGE for node creation and then creating relationships between them.

    -CREATE (:Person {id: 1})
    -CREATE (:Person {id: 2})
    -CREATE (:City {id: 3})
    -CREATE (:City {id: 4})
    -CREATE (p1:Person {id: 1})-[:FRIEND]->(p2:Person {id: 2})
    -CREATE (p1)-[:VISITED]->(c1:City {id: 3})
    -CREATE (p2)-[:VISITED]->(c1)
    -CREATE (p2)-[:VISITED]->(c2:City {id: 4})
    +MERGE (p1:Person {id: 1})
    +MERGE (p2:Person {id: 2})
    +MERGE (c1:City {id: 3})
    +MERGE (c2:City {id: 4})
    +CREATE (p1)-[:FRIEND]->(p2)
    +CREATE (p1)-[:VISITED]->(c1)
    +CREATE (p2)-[:VISITED]->(c1)
    +CREATE (p2)-[:VISITED]->(c2)
    🧰 Tools
    🪛 GitHub Actions: spellcheck

    [error] Spelling error found: 'influencers' is marked as misspelled


    96-96: Remove trailing colons from headings.

    For consistency with Markdown best practices, remove the trailing colons from the "Result" headings.

    -#### Result:
    +#### Result

    Also applies to: 113-113, 128-128, 142-142

    🧰 Tools
    🪛 Markdownlint (0.37.0)

    96-96: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)

    🪛 GitHub Actions: spellcheck

    [error] Spelling error found: 'influencers' is marked as misspelled

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    • algorithms/degree.md (1 hunks)
    🧰 Additional context used
    🪛 LanguageTool
    algorithms/degree.md

    [grammar] ~35-~35: In this context, ‘type’ should agree in number with the noun after ‘of’.
    Context: ... | String | null | Specifies the type of edges to consider. ...

    (TYPE_OF_PLURAL)

    🪛 Markdownlint (0.37.0)
    algorithms/degree.md

    55-55: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)


    64-64: Punctuation: ':'
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    (MD026, no-trailing-punctuation)


    96-96: Punctuation: ':'
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    113-113: Punctuation: ':'
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    (MD026, no-trailing-punctuation)


    142-142: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)

    🪛 GitHub Actions: spellcheck
    algorithms/degree.md

    [error] Spelling error found: 'influencers' is marked as misspelled

    🔇 Additional comments (3)
    algorithms/degree.md (3)

    1-18: Well-structured introduction and comprehensive use cases!

    The introduction clearly explains the procedure's purpose, and the use cases effectively demonstrate its practical applications across different domains.

    🧰 Tools
    🪛 GitHub Actions: spellcheck

    [error] Spelling error found: 'influencers' is marked as misspelled


    40-48: Clear and concise output documentation!

    The output section effectively describes the result set structure and its fields.

    🧰 Tools
    🪛 GitHub Actions: spellcheck

    [error] Spelling error found: 'influencers' is marked as misspelled


    1-149: Excellent documentation overall!

    The documentation is comprehensive, well-structured, and effectively explains the Degree Procedure. It includes clear examples, practical use cases, and detailed parameter descriptions. The suggested improvements are minor and don't impact the overall quality of the documentation.

    🧰 Tools
    🪛 LanguageTool

    [grammar] ~35-~35: In this context, ‘type’ should agree in number with the noun after ‘of’.
    Context: ... | String | null | Specifies the type of edges to consider. ...

    (TYPE_OF_PLURAL)

    🪛 Markdownlint (0.37.0)

    55-55: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)


    64-64: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)


    96-96: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)


    113-113: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)


    128-128: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)


    142-142: Punctuation: ':'
    Trailing punctuation in heading

    (MD026, no-trailing-punctuation)

    🪛 GitHub Actions: spellcheck

    [error] Spelling error found: 'influencers' is marked as misspelled

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    Actionable comments posted: 1

    🧹 Nitpick comments (3)
    algorithms/index.md (3)

    1-6: Enhance the description metadata.

    The description currently mirrors the title. Consider expanding it to provide more context, such as "Comprehensive documentation for FalkorDB's graph analysis algorithms and procedures".

    ---
    title: "Graph Algorithms"
    -description: Graph Algorithms
    +description: Comprehensive documentation for FalkorDB's graph analysis algorithms and procedures
    nav_order: 4
    has_children: true
    ---
    🧰 Tools
    🪛 GitHub Actions: spellcheck

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'


    10-10: Improve conciseness.

    Consider rephrasing to avoid wordiness.

    -Welcome to the FalkorDB Algorithms Documentation! This guide provides an overview of all algorithms available within FalkorDB, enabling powerful graph analytics and insights. Each algorithm is designed to help you process and analyze graph data efficiently for a variety of use cases.
    +Welcome to the FalkorDB Algorithms Documentation! This guide provides an overview of all algorithms available within FalkorDB, enabling powerful graph analytics and insights. Each algorithm is designed to help you process and analyze graph data efficiently across diverse use cases.
    🧰 Tools
    🪛 LanguageTool

    [style] ~10-~10: The phrase “a variety of” may be wordy. To make your writing clearer, consider replacing it.
    Context: ... and analyze graph data efficiently for a variety of use cases. ## Available Algorithms Be...

    (A_VARIETY_OF)

    🪛 GitHub Actions: spellcheck

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'


    47-49: Enhance code example readability and usefulness.

    Consider these improvements:

    1. Use Cypher syntax highlighting instead of plaintext
    2. Provide a more meaningful example with actual parameters
    -```plaintext
    +```cypher
    -CALL algo.degree({})
    +CALL algo.degree({
    +    direction: 'both',
    +    nodeLabels: ['Person'],
    +    relationshipTypes: ['FOLLOWS']
    +})
    🧰 Tools
    🪛 GitHub Actions: spellcheck

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'

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    📒 Files selected for processing (10)
    • algorithms/index.md (1 hunks)
    • bolt_support.md (1 hunks)
    • clients.md (1 hunks)
    • cypher/index.md (1 hunks)
    • datatypes.md (1 hunks)
    • docker-examples/README.md (1 hunks)
    • integration/index.md (1 hunks)
    • llm_support.md (1 hunks)
    • operations/index.md (1 hunks)
    • redisgraph-to-falkordb.md (1 hunks)
    ✅ Files skipped from review due to trivial changes (9)
    • clients.md
    • llm_support.md
    • bolt_support.md
    • cypher/index.md
    • redisgraph-to-falkordb.md
    • docker-examples/README.md
    • datatypes.md
    • integration/index.md
    • operations/index.md
    🧰 Additional context used
    🪛 LanguageTool
    algorithms/index.md

    [style] ~10-~10: The phrase “a variety of” may be wordy. To make your writing clearer, consider replacing it.
    Context: ... and analyze graph data efficiently for a variety of use cases. ## Available Algorithms Be...

    (A_VARIETY_OF)


    [style] ~57-~57: Using many exclamation marks might seem excessive (in this case: 3 exclamation marks for a text that’s 1530 characters long)
    Context: ...B). Happy graph analytics with FalkorDB!

    (EN_EXCESSIVE_EXCLAMATION)

    🪛 GitHub Actions: spellcheck
    algorithms/index.md

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'

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

    53-58: LGTM!

    The feedback section effectively encourages community participation and provides the necessary resource link.

    🧰 Tools
    🪛 LanguageTool

    [style] ~57-~57: Using many exclamation marks might seem excessive (in this case: 3 exclamation marks for a text that’s 1530 characters long)
    Context: ...B). Happy graph analytics with FalkorDB!

    (EN_EXCESSIVE_EXCLAMATION)

    🪛 GitHub Actions: spellcheck

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'


    1-59: Address spellcheck pipeline failure.

    The term 'analytics' flagged by the spellchecker is correct technical terminology commonly used in data science. Consider adding it to the custom dictionary to prevent future pipeline failures.

    ✅ Verification successful

    Add 'analytics' to custom dictionary to resolve spellcheck failures

    Add the word 'analytics' to .wordlist.txt in the repository root to prevent future spellcheck pipeline failures. This file is configured as the custom dictionary in .spellcheck.yml.

    🏁 Scripts executed

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    Script:

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    fi
    

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    Length of output: 533

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    [style] ~10-~10: The phrase “a variety of” may be wordy. To make your writing clearer, consider replacing it.
    Context: ... and analyze graph data efficiently for a variety of use cases. ## Available Algorithms Be...

    (A_VARIETY_OF)


    [style] ~57-~57: Using many exclamation marks might seem excessive (in this case: 3 exclamation marks for a text that’s 1530 characters long)
    Context: ...B). Happy graph analytics with FalkorDB!

    (EN_EXCESSIVE_EXCLAMATION)

    🪛 GitHub Actions: spellcheck

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'

    Comment on lines +16 to +34
    ### Traversal Algorithms
    - [BFS](algorithms/BFS)
    - Performs a Breadth-First Search traversal of the graph.

    ### Centrality Algorithms
    - [PageRank](algorithms/page_rank)
    - Measures the importance of nodes based on incoming connections.

    ### Connectivity Algorithms
    - [Degree](algorithms/degree)
    - Calculates the degree of nodes, focusing on connectivity based on edge direction and type.

    ### Pathfinding Algorithms
    - [Shortest Path](algorithms/shortest_path)
    - Finds the shortest path between two nodes.

    ### Community Detection Algorithms
    - [Label Propagation](algorithms/label_propagation)
    - Identifies communities based on label diffusion through the graph.
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    💡 Codebase verification

    Documentation structure is broken and inconsistent

    The following documentation links are broken:

    • algorithms/BFS - directory doesn't exist
    • algorithms/page_rank - directory doesn't exist
    • algorithms/shortest_path - directory doesn't exist
    • algorithms/label_propagation - directory doesn't exist

    Additionally, there's an inconsistency where degree is documented in a flat file (algorithms/degree.md) while others use a directory-based approach in the navigation.

    🔗 Analysis chain

    Verify algorithm documentation links.

    The links appear to be relative paths. Let's ensure they point to valid documentation files.

    Note: 'Pathfinding' flagged by the spellchecker is a correct technical term and can be safely added to the dictionary.

    🏁 Scripts executed

    The following scripts were executed for the analysis:

    Script:

    #!/bin/bash
    # Description: Verify that all referenced algorithm documentation files exist
    # Expected: All files should exist in the algorithms directory
    
    for algo in "BFS" "page_rank" "degree" "shortest_path" "label_propagation"; do
      if ! fd -t f "^${algo}\.(md|mdx)$" algorithms/; then
        echo "Missing documentation for: $algo"
      fi
    done
    

    Length of output: 638


    Script:

    #!/bin/bash
    # Check if the algorithms are documented in directories with index files
    for algo in "BFS" "page_rank" "degree" "shortest_path" "label_propagation"; do
      echo "Checking $algo:"
      # Check if directory exists
      fd -t d "^${algo}$" algorithms/
      # Check for index files in that directory
      fd -t f "^index\.(md|mdx)$" "algorithms/${algo}" 2>/dev/null || true
    done
    

    Length of output: 1111

    🧰 Tools
    🪛 GitHub Actions: spellcheck

    [error] Spelling errors found: 'analytics' (appears twice)


    [error] Spelling error found: 'Pathfinding'

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    Add an algorithms section
    1 participant