Review Docs

Review documentation files for grammar, factual accuracy, and query correctness.

The user will provide a path to a single document or a folder containing documents. Use $ARGUMENTS as the target path. If no argument is provided, ask the user for the path.

Scope

This command reviews Markdown documentation files (.md) covering:

1. Grammar and style — punctuation, spelling, word choice, hyphenation, sentence structure
2. Factual claims — verify statements about database behavior against the actual codebase
3. Query correctness — validate all YQL/SQL code examples by executing them on a real in-memory database
4. Internal consistency — cross-reference links, terminology, and naming conventions within and across documents
5. Code example formatting — verify code blocks have correct language tags, consistent style

Workflow

Step 1: Discover target files

1. If $ARGUMENTS points to a single .md file, review that file.
2. If $ARGUMENTS points to a directory, discover all .md files in it recursively using Glob.
3. Read each file and build a review queue.

Step 2: Grammar and style review (per file)

For each document, check for:

• Punctuation: missing commas after introductory phrases ("For this reason,"), before conjunctions in compound sentences, around parenthetical clauses.
• Spelling: typos, common misspellings (e.g., "straight forward" -> "straightforward").
• Hyphenation: compound adjectives before nouns need hyphens (e.g., "case-insensitive", "not-indexed").
• Word choice: awkward phrasing (e.g., "suggest to use" -> "suggest using", "look to" -> "refer to").
• Consistency: same terms spelled/capitalized the same way throughout. Check YouTrackDB, YQL, class names, etc.
• Formatting: extra spaces before colons/punctuation, double spaces, inconsistent heading levels.
• Code block language tags: ensure ```sql, ```java, etc. are present and correct.

Produce a table of findings per file: line number, issue, suggested fix.

Step 3: Link and reference validation (per file)

1. Extract all Markdown links [text](target) and anchor links [text](#anchor).
2. For file links (e.g., YQL-Where.md), check if the referenced file exists relative to the document using Glob. Report missing files but do not block the review — flag them as warnings.
3. For anchor links, check if the referenced heading exists in the target file.
4. Check for inconsistent link targets (e.g., a file linked as both SQL-Syntax.md and YQL-Syntax.md when only one exists).

Step 4: Factual claim extraction

Read through each document and extract all verifiable factual claims about YouTrackDB / YQL behavior. Examples:

• "Keywords and class names are case-insensitive"
• "Field names and values are case-sensitive"
• "YouTrackDB does not support the HAVING keyword"
• "YouTrackDB allows only one class as the target"
• "The YQL engine automatically recognizes if any indexes can be used"

For each claim, note the file, line number, and the exact claim text.

Step 5: Query extraction

Extract all YQL/SQL code examples from fenced code blocks (```sql sections). For each query, note:

• The file and line number
• Whether it is a YouTrackDB YQL query or a standard SQL example (for comparison only)
• Whether it should succeed or fail (some examples demonstrate unsupported syntax)

Step 6: Build validation test

Add new test methods to the persistent DocValidationTest class (core/src/test/java/com/jetbrains/youtrackdb/internal/core/sql/DocValidationTest.java) that validate extracted queries and factual claims against a real in-memory YouTrackDB instance using the Gremlin API with yql() methods. If the test class does not exist yet, create it with the following pattern:

package com.jetbrains.youtrackdb.internal.core.sql;

import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;

import com.jetbrains.youtrackdb.api.DatabaseType;
import com.jetbrains.youtrackdb.api.YouTrackDB;
import com.jetbrains.youtrackdb.api.YourTracks;
import com.jetbrains.youtrackdb.api.gremlin.YTDBGraphTraversalSource;
import java.nio.file.Path;
import org.junit.After;
import org.junit.AfterClass;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;

public class DocValidationTest {
  private static YouTrackDB youTrackDB;
  private static Path dbPath;
  private YTDBGraphTraversalSource g;

  @BeforeClass
  public static void setUpClass() throws Exception {
    dbPath = Path.of(System.getProperty("java.io.tmpdir"), "doc-validation-test");
    youTrackDB = YourTracks.instance(dbPath.toString());
    youTrackDB.create("test", DatabaseType.MEMORY, "admin", "admin", "admin");
  }

  @AfterClass
  public static void tearDownClass() {
    youTrackDB.close();
  }

  @Before
  public void setUp() {
    g = youTrackDB.openTraversal("test", "admin", "admin");
  }

  @After
  public void tearDown() {
    g.close();
  }
}

CRITICAL: Only use the public Gremlin API. The test class lives in com.jetbrains.youtrackdb.internal.core.sql for organizational reasons (it is in the core module's test tree), but it must only import from com.jetbrains.youtrackdb.api.* and standard TinkerPop packages (org.apache.tinkerpop.gremlin.*). Never import internal classes like DatabaseSessionEmbedded, YouTrackDBImpl, DbTestBase, or anything else under com.jetbrains.youtrackdb.internal.

Key patterns for writing tests:

• Schema commands (CREATE CLASS, CREATE PROPERTY, CREATE INDEX) run outside transactions using g.command(): g.command("CREATE CLASS Foo EXTENDS V") — always use EXTENDS V (vertex) or EXTENDS E (edge) so results are compatible with the Gremlin result mapper.
• Creating data — use CREATE VERTEX (not INSERT INTO) inside transactions:

  g.executeInTx(tx -> {
    tx.yql("CREATE VERTEX Foo SET name = 'bar'").iterate();
  });
  

• Updating data — use UPDATE inside transactions via yql().iterate():

  g.executeInTx(tx -> {
    tx.yql("UPDATE Foo SET name = 'baz' WHERE name = 'bar'").iterate();
  });
  

• Querying data — use SELECT inside transactions via g.computeInTx():

  var results = g.computeInTx(tx -> tx.yql("SELECT FROM Foo").toList());
  assertThat(results).isNotEmpty();
  

  Results from SELECT on vertex classes are Vertex objects — cast and use .value("prop"):

  Vertex v = (Vertex) results.get(0);
  assertThat((String) v.value("name")).isEqualTo("baz");
  

• Queries that should fail (unsupported syntax): wrap in assertThatThrownBy:

  assertThatThrownBy(() -> g.executeInTx(tx -> {
    tx.yql("BAD QUERY").iterate();
  }));
  

• The yql() method returns a lazy YTDBGraphTraversal — always call .iterate() or .toList() to execute it.
• The command() method executes eagerly — no need to call .iterate(). However, command() internally iterates results through the Gremlin result mapper, which only supports vertices and stateful edges. Therefore, only use command() for DDL (CREATE CLASS, CREATE PROPERTY, CREATE INDEX) — never for INSERT, UPDATE, or DELETE.
• Parameterized queries: use alternating key/value pairs: tx.yql("SELECT FROM Foo WHERE name = :name", "name", "bar")

Gremlin API limitations to be aware of

These limitations affect what can be validated through the public API:

1. All classes must extend V or E — the Gremlin result mapper (GremlinResultMapper) only supports vertices and stateful edges. SELECT on a plain class (not extending V/E) will throw IllegalStateException: Only vertices and stateful edges are supported in Gremlin results. If a document example uses a plain class, create it with EXTENDS V for testing purposes.
2. Use yql().iterate() for UPDATE/INSERT — never use command() for data mutation commands, as it will fail when the result mapper tries to process the non-vertex result.
3. RETURN AFTER on UPDATE — use tx.yql("UPDATE ... RETURN AFTER @this").toList() to collect results. The results are vertex objects when the target class extends V.

Group tests by document section. Each test method should have a comment referencing the document claim it validates.

Step 7: Run validation

1. Run the test class:

   ./mvnw -pl core clean test -Dtest=DocValidationTest
   

2. If Spotless formatting fails, fix it first:

   ./mvnw -pl core spotless:apply
   

3. If tests fail, analyze each failure:
   • Parse error on a query the doc says should work -> the document has a query bug. Flag it.
   • Query succeeds but the doc says it should fail -> the document claim is wrong. Flag it.
   • Wrong result count or values -> the document example may be misleading. Flag it.
   • Compilation error -> fix the test code and re-run.

Step 8: Produce review report

After all checks complete, present a consolidated report to the user:

## Documentation Review: <path>

### Grammar & Style
| File | Line | Issue | Suggested Fix |
|------|------|-------|---------------|
| ... | ... | ... | ... |

### Link Validation
| File | Line | Link Target | Status |
|------|------|-------------|--------|
| ... | ... | ... | Missing / OK |

### Factual Claims
| File | Line | Claim | Verified | Notes |
|------|------|-------|----------|-------|
| ... | ... | ... | Yes/No | ... |

### Query Validation
| File | Line | Query | Expected | Result | Notes |
|------|------|-------|----------|--------|-------|
| ... | ... | ... | Success/Fail | Pass/Fail | ... |

### Summary
- Total files reviewed: N
- Grammar issues found: N
- Broken links: N
- Factual claims verified: N/N
- Queries validated: N/N

Step 9: Apply fixes

Ask the user whether to:

1. Apply grammar fixes — edit the documents directly using the Edit tool.
2. Flag query/factual issues only — report without changing files (the user may want to rewrite sections).
3. Apply all fixes — grammar fixes + rewrite incorrect queries/claims.

Step 10: Verify test class

After the review is complete:

1. Keep the DocValidationTest class — it serves as a living validation of documentation examples.
2. Ensure all new test methods were added and pass: ./mvnw -pl core clean test -Dtest=DocValidationTest
3. Run Spotless to ensure formatting: ./mvnw -pl core spotless:apply

Important notes

• Never modify the test infrastructure — only add methods to DocValidationTest.
• The core module uses JUnit 4 (not JUnit 5). Use @Test, @Before, @After, @BeforeClass, @AfterClass from org.junit.
• Always run spotless:apply before running tests if the test class is new.
• When validating queries, create unique class names per test to avoid collisions (e.g., CityDistinct, EmpSalary).
• Standard SQL examples shown for comparison (e.g., JOIN syntax) should NOT be executed — they are expected to be invalid in YouTrackDB.
• If a document references files that don't exist yet, flag them as warnings but don't fail the review.
• Use yql() for YQL queries — the yql() method on YTDBGraphTraversalSourceDSL returns a lazy traversal; always terminate with .iterate() or .toList().
• Use command() for schema DDL — command() executes eagerly and is appropriate for CREATE CLASS, CREATE PROPERTY, CREATE INDEX, etc.
• Transaction helpers: Use g.executeInTx() for side-effecting operations, g.computeInTx() when you need a return value, and g.autoExecuteInTx() when returning a traversal that should be auto-iterated.