File: generate_example.py

package info (click to toggle)
rudof 0.1.146%2Bds-1
  • links: PTS, VCS
  • area: main
  • in suites: forky
  • size: 10,048 kB
  • sloc: python: 1,288; makefile: 32; sh: 1
file content (177 lines) | stat: -rw-r--r-- 5,593 bytes parent folder | download | duplicates (2)
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
#!/usr/bin/env python3
"""
Example: Using rudof_generate Python bindings to generate synthetic RDF data

This example demonstrates how to:
1. Create and configure a GeneratorConfig
2. Create a DataGenerator
3. Load a schema (ShEx or SHACL)
4. Generate synthetic data
"""

import pyrudof

def example_with_config():
    """Example using configuration"""
    print("=" * 60)
    print("Example: Using GeneratorConfig")
    print("=" * 60)
    
    # Create configuration
    config = pyrudof.GeneratorConfig()
    
    # Configure generation parameters
    config.set_entity_count(50)
    config.set_seed(12345)  # For reproducible results
    
    # Configure output
    config.set_output_path("output/generated_data.ttl")
    config.set_output_format(pyrudof.OutputFormat.Turtle)
    config.set_write_stats(True)
    config.set_compress(False)
    
    # Configure schema
    config.set_schema_format(pyrudof.SchemaFormat.ShEx)
    config.set_cardinality_strategy(pyrudof.CardinalityStrategy.Balanced)
    
    # Configure parallelism
    config.set_worker_threads(4)
    config.set_batch_size(10)
    config.set_parallel_writing(False)
    
    print(f"Entity count: {config.get_entity_count()}")
    print(f"Random seed: {config.get_seed()}")
    print(f"Output path: {config.get_output_path()}")
    
    # Create generator
    generator = pyrudof.DataGenerator(config)
    print("✓ DataGenerator created successfully")
    
    # Note: To actually generate data, you would:
    # generator.load_shex_schema("path/to/schema.shex")
    # generator.generate()
    
    print()

def example_different_formats():
    """Example showing different format options"""
    print("=" * 60)
    print("Example: Different format options")
    print("=" * 60)
    
    # Turtle format
    config1 = pyrudof.GeneratorConfig()
    config1.set_output_format(pyrudof.OutputFormat.Turtle)
    print("✓ Config for Turtle format")
    
    # NTriples format
    config2 = pyrudof.GeneratorConfig()
    config2.set_output_format(pyrudof.OutputFormat.NTriples)
    print("✓ Config for NTriples format")
    
    # ShEx schema
    config3 = pyrudof.GeneratorConfig()
    config3.set_schema_format(pyrudof.SchemaFormat.ShEx)
    print("✓ Config for ShEx schema")
    
    # SHACL schema
    config4 = pyrudof.GeneratorConfig()
    config4.set_schema_format(pyrudof.SchemaFormat.SHACL)
    print("✓ Config for SHACL schema")
    
    print()

def example_cardinality_strategies():
    """Example showing different cardinality strategies"""
    print("=" * 60)
    print("Example: Cardinality strategies")
    print("=" * 60)
    
    strategies = [
        ("Minimum", pyrudof.CardinalityStrategy.Minimum),
        ("Maximum", pyrudof.CardinalityStrategy.Maximum),
        ("Random", pyrudof.CardinalityStrategy.Random),
        ("Balanced", pyrudof.CardinalityStrategy.Balanced),
    ]
    
    for name, strategy in strategies:
        config = pyrudof.GeneratorConfig()
        config.set_cardinality_strategy(strategy)
        print(f"✓ Config with {name} cardinality strategy")
    
    print()

def example_parallel_generation():
    """Example showing parallel generation options"""
    print("=" * 60)
    print("Example: Parallel generation")
    print("=" * 60)
    
    config = pyrudof.GeneratorConfig()
    
    # Enable parallel writing
    config.set_parallel_writing(True)
    config.set_parallel_file_count(4)  # Split into 4 files
    print("✓ Parallel writing enabled with 4 output files")
    
    # Configure worker threads
    config.set_worker_threads(8)
    config.set_batch_size(100)
    print("✓ Using 8 worker threads with batch size of 100")
    
    print()

def example_full_workflow():
    """Example showing the complete workflow (conceptual)"""
    print("=" * 60)
    print("Example: Complete workflow (conceptual)")
    print("=" * 60)
    
    # 1. Create and configure
    config = pyrudof.GeneratorConfig()
    config.set_entity_count(1000)
    config.set_output_path("output/large_dataset.ttl")
    config.set_output_format(pyrudof.OutputFormat.Turtle)
    config.set_write_stats(True)
    print("✓ Step 1: Configuration created")
    
    # 2. Create generator
    generator = pyrudof.DataGenerator(config)
    print("✓ Step 2: Generator created")
    
    # 3. Load schema (example - would need actual file)
    print("  Step 3: Would call generator.load_shex_schema('schema.shex')")
    print("         or generator.load_shacl_schema('shapes.ttl')")
    print("         or generator.load_schema_auto('schema_file')")
    
    # 4. Generate data
    print("  Step 4: Would call generator.generate()")
    
    # 5. Alternative: run complete pipeline
    print("  Alternative: generator.run('schema.shex')")
    print("              or generator.run_with_format('schema.ttl', SchemaFormat.SHACL)")
    
    print()

if __name__ == "__main__":
    print("\n" + "=" * 60)
    print("RUDOF Generate Python Bindings - Examples")
    print("=" * 60 + "\n")
    
    example_with_config()
    example_different_formats()
    example_cardinality_strategies()
    example_parallel_generation()
    example_full_workflow()
    
    print("=" * 60)
    print("Examples completed!")
    print("=" * 60)
    print("\nTo use with actual schemas, you would:")
    print("1. Create a GeneratorConfig")
    print("2. Create a DataGenerator(config)")
    print("3. Call generator.load_shex_schema() or load_shacl_schema()")
    print("4. Call generator.generate()")
    print("\nOr use the convenience method:")
    print("   generator.run('path/to/schema')")
    print()