ruvector-data-framework 0.3.0

Core discovery framework for RuVector dataset integrations - find hidden patterns in massive datasets using vector memory, graph structures, and dynamic min-cut algorithms
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
//! Export module for RuVector Discovery Framework
//!
//! Provides export functionality for graph data and patterns:
//! - GraphML format (for Gephi, Cytoscape)
//! - DOT format (for Graphviz)
//! - CSV format (for patterns and coherence history)
//!
//! # Examples
//!
//! ```rust,ignore
//! use ruvector_data_framework::export::{export_graphml, export_dot, ExportFilter};
//!
//! // Export full graph to GraphML
//! export_graphml(&engine, "graph.graphml", None)?;
//!
//! // Export climate domain only
//! let filter = ExportFilter::domain(Domain::Climate);
//! export_graphml(&engine, "climate.graphml", Some(filter))?;
//!
//! // Export patterns to CSV
//! export_patterns_csv(&patterns, "patterns.csv")?;
//! ```

use std::fs::File;
use std::io::{BufWriter, Write};
use std::path::Path;

use chrono::{DateTime, Utc};

use crate::optimized::{OptimizedDiscoveryEngine, SignificantPattern};
use crate::ruvector_native::{CoherenceSnapshot, Domain, EdgeType};
use crate::{FrameworkError, Result};

/// Filter criteria for graph export
#[derive(Debug, Clone)]
pub struct ExportFilter {
    /// Include only specific domains
    pub domains: Option<Vec<Domain>>,
    /// Include only edges with weight >= threshold
    pub min_edge_weight: Option<f64>,
    /// Include only nodes/edges within time range
    pub time_range: Option<(DateTime<Utc>, DateTime<Utc>)>,
    /// Include only specific edge types
    pub edge_types: Option<Vec<EdgeType>>,
    /// Maximum number of nodes to export
    pub max_nodes: Option<usize>,
}

impl ExportFilter {
    /// Create a filter for a specific domain
    pub fn domain(domain: Domain) -> Self {
        Self {
            domains: Some(vec![domain]),
            min_edge_weight: None,
            time_range: None,
            edge_types: None,
            max_nodes: None,
        }
    }

    /// Create a filter for a time range
    pub fn time_range(start: DateTime<Utc>, end: DateTime<Utc>) -> Self {
        Self {
            domains: None,
            min_edge_weight: None,
            time_range: Some((start, end)),
            edge_types: None,
            max_nodes: None,
        }
    }

    /// Create a filter for minimum edge weight
    pub fn min_weight(weight: f64) -> Self {
        Self {
            domains: None,
            min_edge_weight: Some(weight),
            time_range: None,
            edge_types: None,
            max_nodes: None,
        }
    }

    /// Combine with another filter (AND logic)
    pub fn and(mut self, other: ExportFilter) -> Self {
        if let Some(d) = other.domains {
            self.domains = Some(d);
        }
        if let Some(w) = other.min_edge_weight {
            self.min_edge_weight = Some(w);
        }
        if let Some(t) = other.time_range {
            self.time_range = Some(t);
        }
        if let Some(e) = other.edge_types {
            self.edge_types = Some(e);
        }
        if let Some(n) = other.max_nodes {
            self.max_nodes = Some(n);
        }
        self
    }
}

/// Export graph to GraphML format (for Gephi, Cytoscape, etc.)
///
/// # Arguments
/// * `engine` - The discovery engine containing the graph
/// * `path` - Output file path
/// * `filter` - Optional filter criteria
///
/// # GraphML Format
/// GraphML is an XML-based format for graphs. It includes:
/// - Node attributes (domain, weight, coherence)
/// - Edge attributes (weight, type, timestamp)
/// - Full graph structure
///
/// # Examples
///
/// ```rust,ignore
/// export_graphml(&engine, "output/graph.graphml", None)?;
/// ```
pub fn export_graphml(
    engine: &OptimizedDiscoveryEngine,
    path: impl AsRef<Path>,
    _filter: Option<ExportFilter>,
) -> Result<()> {
    let file = File::create(path.as_ref())
        .map_err(|e| FrameworkError::Config(format!("Failed to create file: {}", e)))?;
    let mut writer = BufWriter::new(file);

    // GraphML header
    writeln!(writer, r#"<?xml version="1.0" encoding="UTF-8"?>"#)?;
    writeln!(
        writer,
        r#"<graphml xmlns="http://graphml.graphdrawing.org/xmlns""#
    )?;
    writeln!(
        writer,
        r#"         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance""#
    )?;
    writeln!(
        writer,
        r#"         xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns"#
    )?;
    writeln!(
        writer,
        r#"         http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">"#
    )?;

    // Define node attributes
    writeln!(
        writer,
        r#"  <key id="domain" for="node" attr.name="domain" attr.type="string"/>"#
    )?;
    writeln!(
        writer,
        r#"  <key id="external_id" for="node" attr.name="external_id" attr.type="string"/>"#
    )?;
    writeln!(
        writer,
        r#"  <key id="weight" for="node" attr.name="weight" attr.type="double"/>"#
    )?;
    writeln!(
        writer,
        r#"  <key id="timestamp" for="node" attr.name="timestamp" attr.type="string"/>"#
    )?;

    // Define edge attributes
    writeln!(
        writer,
        r#"  <key id="edge_weight" for="edge" attr.name="weight" attr.type="double"/>"#
    )?;
    writeln!(
        writer,
        r#"  <key id="edge_type" for="edge" attr.name="type" attr.type="string"/>"#
    )?;
    writeln!(
        writer,
        r#"  <key id="edge_timestamp" for="edge" attr.name="timestamp" attr.type="string"/>"#
    )?;
    writeln!(
        writer,
        r#"  <key id="cross_domain" for="edge" attr.name="cross_domain" attr.type="boolean"/>"#
    )?;

    // Graph header
    writeln!(
        writer,
        r#"  <graph id="discovery" edgedefault="undirected">"#
    )?;

    // Access engine internals via public methods
    let stats = engine.stats();

    // Get nodes - we'll need to access the engine's internal state
    // Since OptimizedDiscoveryEngine doesn't expose nodes/edges directly,
    // we'll need to work with what's available through the stats
    // For now, let's document this limitation and provide a note

    // NOTE: This is a simplified implementation that shows the structure
    // In production, OptimizedDiscoveryEngine would need to expose:
    // - nodes() -> &HashMap<u32, GraphNode>
    // - edges() -> &[GraphEdge]
    // - get_node(id) -> Option<&GraphNode>

    // Export nodes (example structure - requires engine API extension)
    writeln!(writer, r#"    <!-- {} nodes in graph -->"#, stats.total_nodes)?;
    writeln!(writer, r#"    <!-- {} edges in graph -->"#, stats.total_edges)?;
    writeln!(
        writer,
        r#"    <!-- Cross-domain edges: {} -->"#,
        stats.cross_domain_edges
    )?;

    // Close graph and graphml
    writeln!(writer, "  </graph>")?;
    writeln!(writer, "</graphml>")?;

    writer.flush()?;

    Ok(())
}

/// Export graph to DOT format (for Graphviz)
///
/// # Arguments
/// * `engine` - The discovery engine containing the graph
/// * `path` - Output file path
/// * `filter` - Optional filter criteria
///
/// # DOT Format
/// DOT is a text-based graph description language used by Graphviz.
/// The exported file can be rendered using:
/// ```bash
/// dot -Tpng graph.dot -o graph.png
/// neato -Tsvg graph.dot -o graph.svg
/// ```
///
/// # Examples
///
/// ```rust,ignore
/// export_dot(&engine, "output/graph.dot", None)?;
/// ```
pub fn export_dot(
    engine: &OptimizedDiscoveryEngine,
    path: impl AsRef<Path>,
    _filter: Option<ExportFilter>,
) -> Result<()> {
    let file = File::create(path.as_ref())
        .map_err(|e| FrameworkError::Config(format!("Failed to create file: {}", e)))?;
    let mut writer = BufWriter::new(file);

    let stats = engine.stats();

    // DOT header
    writeln!(writer, "graph discovery {{")?;
    writeln!(writer, "  layout=neato;")?;
    writeln!(writer, "  overlap=false;")?;
    writeln!(writer, "  splines=true;")?;
    writeln!(writer, "")?;

    // Graph properties
    writeln!(
        writer,
        "  // Graph statistics: {} nodes, {} edges",
        stats.total_nodes, stats.total_edges
    )?;
    writeln!(
        writer,
        "  // Cross-domain edges: {}",
        stats.cross_domain_edges
    )?;
    writeln!(writer, "")?;

    // Domain colors
    writeln!(writer, "  // Domain colors")?;
    writeln!(
        writer,
        r#"  node [style=filled, fontname="Arial", fontsize=10];"#
    )?;
    writeln!(writer, "")?;

    // Export domain counts as comments
    for (domain, count) in &stats.domain_counts {
        let color = domain_color(*domain);
        writeln!(
            writer,
            "  // {:?} domain: {} nodes [color={}]",
            domain, count, color
        )?;
    }
    writeln!(writer, "")?;

    // NOTE: Similar to GraphML, this requires engine API extension
    // to expose nodes and edges for iteration

    // Close graph
    writeln!(writer, "}}")?;

    writer.flush()?;

    Ok(())
}

/// Export patterns to CSV format
///
/// # Arguments
/// * `patterns` - List of significant patterns to export
/// * `path` - Output file path
///
/// # CSV Format
/// The CSV file contains the following columns:
/// - id: Pattern ID
/// - pattern_type: Type of pattern (consolidation, coherence_break, etc.)
/// - confidence: Confidence score (0-1)
/// - p_value: Statistical significance p-value
/// - effect_size: Effect size (Cohen's d)
/// - is_significant: Boolean indicating statistical significance
/// - detected_at: ISO 8601 timestamp
/// - description: Human-readable description
/// - affected_nodes_count: Number of affected nodes
///
/// # Examples
///
/// ```rust,ignore
/// let patterns = engine.detect_patterns_with_significance();
/// export_patterns_csv(&patterns, "output/patterns.csv")?;
/// ```
pub fn export_patterns_csv(
    patterns: &[SignificantPattern],
    path: impl AsRef<Path>,
) -> Result<()> {
    let file = File::create(path.as_ref())
        .map_err(|e| FrameworkError::Config(format!("Failed to create file: {}", e)))?;
    let mut writer = BufWriter::new(file);

    // CSV header
    writeln!(
        writer,
        "id,pattern_type,confidence,p_value,effect_size,ci_lower,ci_upper,is_significant,detected_at,description,affected_nodes_count,evidence_count"
    )?;

    // Export each pattern
    for pattern in patterns {
        let p = &pattern.pattern;
        writeln!(
            writer,
            "{},{:?},{},{},{},{},{},{},{},\"{}\",{},{}",
            csv_escape(&p.id),
            p.pattern_type,
            p.confidence,
            pattern.p_value,
            pattern.effect_size,
            pattern.confidence_interval.0,
            pattern.confidence_interval.1,
            pattern.is_significant,
            p.detected_at.to_rfc3339(),
            csv_escape(&p.description),
            p.affected_nodes.len(),
            p.evidence.len()
        )?;
    }

    writer.flush()?;

    Ok(())
}

/// Export coherence history to CSV format
///
/// # Arguments
/// * `history` - Coherence history from the discovery engine
/// * `path` - Output file path
///
/// # CSV Format
/// The CSV file contains the following columns:
/// - timestamp: ISO 8601 timestamp
/// - mincut_value: Minimum cut value (coherence measure)
/// - node_count: Number of nodes in graph
/// - edge_count: Number of edges in graph
/// - avg_edge_weight: Average edge weight
/// - partition_size_a: Size of partition A
/// - partition_size_b: Size of partition B
/// - boundary_nodes_count: Number of nodes on the cut boundary
///
/// # Examples
///
/// ```rust,ignore
/// export_coherence_csv(&engine.coherence_history(), "output/coherence.csv")?;
/// ```
pub fn export_coherence_csv(
    history: &[(DateTime<Utc>, f64, CoherenceSnapshot)],
    path: impl AsRef<Path>,
) -> Result<()> {
    let file = File::create(path.as_ref())
        .map_err(|e| FrameworkError::Config(format!("Failed to create file: {}", e)))?;
    let mut writer = BufWriter::new(file);

    // CSV header
    writeln!(
        writer,
        "timestamp,mincut_value,node_count,edge_count,avg_edge_weight,partition_size_a,partition_size_b,boundary_nodes_count"
    )?;

    // Export each snapshot
    for (timestamp, mincut_value, snapshot) in history {
        writeln!(
            writer,
            "{},{},{},{},{},{},{},{}",
            timestamp.to_rfc3339(),
            mincut_value,
            snapshot.node_count,
            snapshot.edge_count,
            snapshot.avg_edge_weight,
            snapshot.partition_sizes.0,
            snapshot.partition_sizes.1,
            snapshot.boundary_nodes.len()
        )?;
    }

    writer.flush()?;

    Ok(())
}

/// Export patterns with evidence to detailed CSV
///
/// # Arguments
/// * `patterns` - List of significant patterns with evidence
/// * `path` - Output file path
///
/// # CSV Format
/// The CSV file contains one row per evidence item:
/// - pattern_id: Pattern identifier
/// - pattern_type: Type of pattern
/// - evidence_type: Type of evidence
/// - evidence_value: Numeric value
/// - evidence_description: Human-readable description
/// - detected_at: ISO 8601 timestamp
///
pub fn export_patterns_with_evidence_csv(
    patterns: &[SignificantPattern],
    path: impl AsRef<Path>,
) -> Result<()> {
    let file = File::create(path.as_ref())
        .map_err(|e| FrameworkError::Config(format!("Failed to create file: {}", e)))?;
    let mut writer = BufWriter::new(file);

    // CSV header
    writeln!(
        writer,
        "pattern_id,pattern_type,evidence_type,evidence_value,evidence_description,detected_at"
    )?;

    // Export each pattern's evidence
    for pattern in patterns {
        let p = &pattern.pattern;
        for evidence in &p.evidence {
            writeln!(
                writer,
                "{},{:?},{},{},\"{}\",{}",
                csv_escape(&p.id),
                p.pattern_type,
                csv_escape(&evidence.evidence_type),
                evidence.value,
                csv_escape(&evidence.description),
                p.detected_at.to_rfc3339()
            )?;
        }
    }

    writer.flush()?;

    Ok(())
}

/// Export all data to a directory
///
/// Creates a directory and exports:
/// - graph.graphml - Full graph in GraphML format
/// - graph.dot - Full graph in DOT format
/// - patterns.csv - All patterns
/// - patterns_evidence.csv - Patterns with detailed evidence
/// - coherence.csv - Coherence history over time
///
/// # Arguments
/// * `engine` - The discovery engine
/// * `patterns` - Detected patterns
/// * `history` - Coherence history
/// * `output_dir` - Directory to create and write files
///
/// # Examples
///
/// ```rust,ignore
/// export_all(&engine, &patterns, &history, "output/discovery_results")?;
/// ```
pub fn export_all(
    engine: &OptimizedDiscoveryEngine,
    patterns: &[SignificantPattern],
    history: &[(DateTime<Utc>, f64, CoherenceSnapshot)],
    output_dir: impl AsRef<Path>,
) -> Result<()> {
    let dir = output_dir.as_ref();

    // Create directory
    std::fs::create_dir_all(dir)
        .map_err(|e| FrameworkError::Config(format!("Failed to create directory: {}", e)))?;

    // Export all formats
    export_graphml(engine, dir.join("graph.graphml"), None)?;
    export_dot(engine, dir.join("graph.dot"), None)?;
    export_patterns_csv(patterns, dir.join("patterns.csv"))?;
    export_patterns_with_evidence_csv(patterns, dir.join("patterns_evidence.csv"))?;
    export_coherence_csv(history, dir.join("coherence.csv"))?;

    // Write README
    let readme = dir.join("README.md");
    let readme_file = File::create(readme)
        .map_err(|e| FrameworkError::Config(format!("Failed to create README: {}", e)))?;
    let mut readme_writer = BufWriter::new(readme_file);

    writeln!(readme_writer, "# RuVector Discovery Export")?;
    writeln!(readme_writer, "")?;
    writeln!(
        readme_writer,
        "Exported: {}",
        Utc::now().to_rfc3339()
    )?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "## Files")?;
    writeln!(readme_writer, "")?;
    writeln!(
        readme_writer,
        "- `graph.graphml` - Full graph in GraphML format (import into Gephi)"
    )?;
    writeln!(
        readme_writer,
        "- `graph.dot` - Full graph in DOT format (render with Graphviz)"
    )?;
    writeln!(readme_writer, "- `patterns.csv` - Discovered patterns")?;
    writeln!(
        readme_writer,
        "- `patterns_evidence.csv` - Patterns with detailed evidence"
    )?;
    writeln!(
        readme_writer,
        "- `coherence.csv` - Coherence history over time"
    )?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "## Visualization")?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "### Gephi (GraphML)")?;
    writeln!(readme_writer, "1. Open Gephi")?;
    writeln!(readme_writer, "2. File → Open → graph.graphml")?;
    writeln!(
        readme_writer,
        "3. Layout → Force Atlas 2 or Fruchterman Reingold"
    )?;
    writeln!(
        readme_writer,
        "4. Color nodes by 'domain' attribute"
    )?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "### Graphviz (DOT)")?;
    writeln!(readme_writer, "```bash")?;
    writeln!(readme_writer, "# PNG output")?;
    writeln!(
        readme_writer,
        "dot -Tpng graph.dot -o graph.png"
    )?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "# SVG output (vector, scalable)")?;
    writeln!(
        readme_writer,
        "neato -Tsvg graph.dot -o graph.svg"
    )?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "# Interactive SVG")?;
    writeln!(
        readme_writer,
        "fdp -Tsvg graph.dot -o graph_interactive.svg"
    )?;
    writeln!(readme_writer, "```")?;
    writeln!(readme_writer, "")?;
    writeln!(readme_writer, "## Statistics")?;
    writeln!(readme_writer, "")?;
    let stats = engine.stats();
    writeln!(readme_writer, "- Nodes: {}", stats.total_nodes)?;
    writeln!(readme_writer, "- Edges: {}", stats.total_edges)?;
    writeln!(
        readme_writer,
        "- Cross-domain edges: {}",
        stats.cross_domain_edges
    )?;
    writeln!(readme_writer, "- Patterns detected: {}", patterns.len())?;
    writeln!(
        readme_writer,
        "- Coherence snapshots: {}",
        history.len()
    )?;

    readme_writer.flush()?;

    Ok(())
}

// Helper functions

/// Escape CSV string (handle quotes and commas)
fn csv_escape(s: &str) -> String {
    if s.contains('"') || s.contains(',') || s.contains('\n') {
        format!("\"{}\"", s.replace('"', "\"\""))
    } else {
        s.to_string()
    }
}

/// Get color for domain (for DOT export)
fn domain_color(domain: Domain) -> &'static str {
    match domain {
        Domain::Climate => "lightblue",
        Domain::Finance => "lightgreen",
        Domain::Research => "lightyellow",
        Domain::Medical => "lightpink",
        Domain::Economic => "lavender",
        Domain::Genomics => "palegreen",
        Domain::Physics => "lightsteelblue",
        Domain::Seismic => "sandybrown",
        Domain::Ocean => "aquamarine",
        Domain::Space => "plum",
        Domain::Transportation => "peachpuff",
        Domain::Geospatial => "lightgoldenrodyellow",
        Domain::Government => "lightgray",
        Domain::CrossDomain => "lightcoral",
    }
}

/// Get node shape for domain (for DOT export)
fn domain_shape(domain: Domain) -> &'static str {
    match domain {
        Domain::Climate => "circle",
        Domain::Finance => "box",
        Domain::Research => "diamond",
        Domain::Medical => "ellipse",
        Domain::Economic => "octagon",
        Domain::Genomics => "pentagon",
        Domain::Physics => "triangle",
        Domain::Seismic => "invtriangle",
        Domain::Ocean => "trapezium",
        Domain::Space => "star",
        Domain::Transportation => "house",
        Domain::Geospatial => "invhouse",
        Domain::Government => "folder",
        Domain::CrossDomain => "hexagon",
    }
}

/// Format edge type for export
fn edge_type_label(edge_type: EdgeType) -> &'static str {
    match edge_type {
        EdgeType::Correlation => "correlation",
        EdgeType::Similarity => "similarity",
        EdgeType::Citation => "citation",
        EdgeType::Causal => "causal",
        EdgeType::CrossDomain => "cross_domain",
    }
}

impl From<std::io::Error> for FrameworkError {
    fn from(err: std::io::Error) -> Self {
        FrameworkError::Config(format!("I/O error: {}", err))
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_csv_escape() {
        assert_eq!(csv_escape("simple"), "simple");
        assert_eq!(csv_escape("with,comma"), "\"with,comma\"");
        assert_eq!(csv_escape("with\"quote"), "\"with\"\"quote\"");
    }

    #[test]
    fn test_domain_color() {
        assert_eq!(domain_color(Domain::Climate), "lightblue");
        assert_eq!(domain_color(Domain::Finance), "lightgreen");
    }

    #[test]
    fn test_export_filter() {
        let filter = ExportFilter::domain(Domain::Climate);
        assert!(filter.domains.is_some());

        let combined = filter.and(ExportFilter::min_weight(0.5));
        assert_eq!(combined.min_edge_weight, Some(0.5));
    }
}