pub struct DataGenerator { /* private fields */ }Implementations§
Source§impl DataGenerator
impl DataGenerator
pub fn new(config: DataFakeConfig) -> Self
Sourcepub fn from_json(json_str: &str) -> Result<Self>
pub fn from_json(json_str: &str) -> Result<Self>
Examples found in repository?
examples/basic.rs (line 33)
3fn main() -> Result<(), Box<dyn std::error::Error>> {
4 // Basic configuration with the example from README
5 let config = r#"{
6 "metadata": {
7 "name": "User Profile Generator",
8 "version": "1.0.0",
9 "description": "Generates realistic user profile data"
10 },
11 "variables": {
12 "userId": {"fake": ["uuid"]},
13 "country": {"fake": ["country_code"]}
14 },
15 "schema": {
16 "id": {"var": "userId"},
17 "profile": {
18 "name": {"fake": ["name", "en_US"]},
19 "age": {"fake": ["u8", 18, 65]},
20 "address": {
21 "street": {"fake": ["street_address", "en_US"]},
22 "country": {"var": "country"}
23 },
24 "bankAccount": {
25 "bic": {"fake": ["bic"]},
26 "balance": {"fake": ["f32", 0, 10000.00]}
27 }
28 }
29 }
30 }"#;
31
32 // Create the generator
33 let generator = DataGenerator::from_json(config)?;
34
35 // Generate fake data
36 let fake_data = generator.generate()?;
37
38 // Print the generated data
39 println!("Generated User Profile:");
40 println!("{}", serde_json::to_string_pretty(&fake_data)?);
41
42 // Generate multiple records
43 println!("\nGenerating 3 user profiles:");
44 let batch = generator.generate_batch(3)?;
45 for (i, data) in batch.iter().enumerate() {
46 println!("\nProfile {}:", i + 1);
47 println!("{}", serde_json::to_string_pretty(data)?);
48 }
49
50 Ok(())
51}Sourcepub fn from_value(json_value: Value) -> Result<Self>
pub fn from_value(json_value: Value) -> Result<Self>
Examples found in repository?
examples/benchmark.rs (line 368)
5fn main() -> Result<(), DataFakeError> {
6 let config = json!({
7 "metadata": {
8 "name": "Complex Benchmark Test",
9 "description": "Complex data generation benchmark with JSONLogic and fake operators"
10 },
11 "variables": {
12 "user_id": {"fake": ["uuid"]},
13 "base_timestamp": {"fake": ["u64", 1704067200, 1735689600]},
14 "country_code": {"fake": ["country_code"]},
15 "currency": {"fake": ["currency_code"]},
16 "age": {"fake": ["u8", 18, 65]},
17 "is_premium": {"fake": ["bool"]},
18 "base_salary": {"fake": ["f64", 30000, 150000]},
19 "company_name": {"fake": ["company_name"]},
20 "random_score": {"fake": ["f64", 0, 1]}
21 },
22 "schema": {
23 "id": {"var": "user_id"},
24 "timestamp": {"var": "base_timestamp"},
25 "user": {
26 "personal": {
27 "first_name": {"fake": ["first_name"]},
28 "last_name": {"fake": ["last_name"]},
29 "full_name": {
30 "cat": [
31 {"fake": ["first_name"]},
32 " ",
33 {"fake": ["last_name"]}
34 ]
35 },
36 "email": {
37 "if": [
38 {"var": "is_premium"},
39 {"fake": ["email"]},
40 {"fake": ["free_email"]}
41 ]
42 },
43 "phone": {"fake": ["phone_number"]},
44 "age": {"var": "age"},
45 "is_adult": {">=": [{"var": "age"}, 18]},
46 "age_group": {
47 "if": [
48 {"<": [{"var": "age"}, 25]},
49 "young",
50 {"if": [
51 {"<": [{"var": "age"}, 40]},
52 "adult",
53 {"if": [
54 {"<": [{"var": "age"}, 60]},
55 "middle-aged",
56 "senior"
57 ]}
58 ]}
59 ]
60 },
61 "username": {
62 "cat": [
63 {"fake": ["word"]},
64 "_",
65 {"fake": ["word"]},
66 "_",
67 {"fake": ["u16", 100, 999]}
68 ]
69 },
70 "password_hash": {"fake": ["password", 12, 16]},
71 "bio": {"fake": ["paragraph", 2, 4]}
72 },
73 "address": {
74 "street": {"fake": ["street_name"]},
75 "building": {"fake": ["u16", 1, 999]},
76 "full_address": {
77 "cat": [
78 {"fake": ["u16", 1, 999]},
79 " ",
80 {"fake": ["street_name"]},
81 " ",
82 {"fake": ["street_suffix"]}
83 ]
84 },
85 "city": {"fake": ["city"]},
86 "state": {"fake": ["state_name"]},
87 "country": {"var": "country_code"},
88 "postal_code": {"fake": ["post_code"]},
89 "coordinates": {
90 "lat": {"fake": ["latitude"]},
91 "lng": {"fake": ["longitude"]},
92 "formatted": {
93 "cat": [
94 {"fake": ["latitude"]},
95 ", ",
96 {"fake": ["longitude"]}
97 ]
98 }
99 }
100 },
101 "professional": {
102 "company": {"var": "company_name"},
103 "job_title": {"fake": ["profession"]},
104 "department": {"fake": ["industry"]},
105 "years_experience": {
106 "max": [
107 0,
108 {"-": [
109 {"var": "age"},
110 18
111 ]}
112 ]
113 },
114 "email": {
115 "cat": [
116 {"fake": ["word"]},
117 ".",
118 {"fake": ["word"]},
119 "@",
120 {"fake": ["word"]},
121 ".com"
122 ]
123 },
124 "company_suffix": {"fake": ["company_suffix"]},
125 "catch_phrase": {"fake": ["catch_phrase"]}
126 },
127 "financial": {
128 "currency": {"var": "currency"},
129 "credit_card": {"fake": ["credit_card_number"]},
130 "bank_account": {"fake": ["bic"]},
131 "base_salary": {"var": "base_salary"},
132 "bonus_percentage": {
133 "if": [
134 {"var": "is_premium"},
135 {"fake": ["f64", 15, 30]},
136 {"fake": ["f64", 5, 15]}
137 ]
138 },
139 "total_compensation": {
140 "*": [
141 {"var": "base_salary"},
142 {"+": [
143 1,
144 {"/": [
145 {"if": [
146 {"var": "is_premium"},
147 0.225,
148 0.1
149 ]},
150 1
151 ]}
152 ]}
153 ]
154 },
155 "credit_score": {
156 "if": [
157 {"var": "is_premium"},
158 {"fake": ["u16", 700, 850]},
159 {"fake": ["u16", 500, 700]}
160 ]
161 },
162 "has_debt": {"<": [{"var": "random_score"}, 0.6]},
163 "debt_amount": {
164 "if": [
165 {"<": [{"var": "random_score"}, 0.6]},
166 {"fake": ["f64", 1000, 50000]},
167 0
168 ]
169 }
170 },
171 "internet": {
172 "ip_v4": {"fake": ["ipv4"]},
173 "ip_v6": {"fake": ["ipv6"]},
174 "mac_address": {"fake": ["mac_address"]},
175 "user_agent": {"fake": ["user_agent"]},
176 "domain": {
177 "cat": [
178 {"fake": ["word"]},
179 ".",
180 {"fake": ["domain_suffix"]}
181 ]
182 },
183 "bandwidth_mbps": {
184 "if": [
185 {"var": "is_premium"},
186 {"fake": ["u16", 100, 1000]},
187 {"fake": ["u16", 10, 100]}
188 ]
189 }
190 },
191 "preferences": {
192 "theme": {
193 "if": [
194 {"<": [{"var": "random_score"}, 0.7]},
195 "dark",
196 "light"
197 ]
198 },
199 "language": {
200 "if": [
201 {"==": [{"var": "country_code"}, "US"]},
202 "en-US",
203 {"if": [
204 {"==": [{"var": "country_code"}, "GB"]},
205 "en-GB",
206 {"if": [
207 {"==": [{"var": "country_code"}, "FR"]},
208 "fr-FR",
209 "en-US"
210 ]}
211 ]}
212 ]
213 },
214 "notifications": {
215 "email": {"var": "is_premium"},
216 "push": {"<": [{"var": "random_score"}, 0.8]},
217 "sms": {"and": [
218 {"var": "is_premium"},
219 {"<": [{"var": "random_score"}, 0.5]}
220 ]}
221 },
222 "privacy_level": {
223 "if": [
224 {"var": "is_premium"},
225 {"if": [
226 {"<": [{"var": "random_score"}, 0.7]},
227 "high",
228 "medium"
229 ]},
230 {"if": [
231 {"<": [{"var": "random_score"}, 0.3]},
232 "high",
233 {"if": [
234 {"<": [{"var": "random_score"}, 0.7]},
235 "medium",
236 "low"
237 ]}
238 ]}
239 ]
240 }
241 },
242 "metadata": {
243 "account_created": {"fake": ["u64", 1577836800, 1704067200]},
244 "last_login": {"fake": ["u64", 1735689600, 1738368000]},
245 "login_count": {
246 "*": [
247 {"fake": ["u16", 10, 365]},
248 {"-": [
249 2024,
250 {"+": [
251 2020,
252 {"fake": ["u8", 0, 3]}
253 ]}
254 ]}
255 ]
256 },
257 "is_verified": {"or": [
258 {"var": "is_premium"},
259 {"<": [{"var": "random_score"}, 0.7]}
260 ]},
261 "subscription_tier": {
262 "if": [
263 {"var": "is_premium"},
264 {"if": [
265 {"<": [{"var": "random_score"}, 0.5]},
266 "pro",
267 "enterprise"
268 ]},
269 "free"
270 ]
271 },
272 "risk_score": {
273 "max": [
274 0,
275 {"min": [
276 100,
277 {"+": [
278 {"if": [{"var": "is_verified"}, 0, 20]},
279 {"if": [{"var": "is_premium"}, 0, 15]},
280 {"*": [
281 {"var": "random_score"},
282 65
283 ]}
284 ]}
285 ]}
286 ]
287 }
288 }
289 },
290 "activity": {
291 "recent_transactions": [
292 {
293 "id": {"fake": ["uuid"]},
294 "amount": {
295 "*": [
296 {"fake": ["f64", 10, 500]},
297 {"if": [{"var": "is_premium"}, 1.5, 1]}
298 ]
299 },
300 "merchant": {"fake": ["company_name"]},
301 "category": {"fake": ["industry"]},
302 "timestamp": {"fake": ["u64", 1735000000, 1738000000]},
303 "approved": {"or": [
304 {"var": "is_premium"},
305 {">": [{"var": "random_score"}, 0.1]}
306 ]}
307 },
308 {
309 "id": {"fake": ["uuid"]},
310 "amount": {
311 "*": [
312 {"fake": ["f64", 10, 500]},
313 {"if": [{"var": "is_premium"}, 1.5, 1]}
314 ]
315 },
316 "merchant": {"fake": ["company_name"]},
317 "category": {"fake": ["industry"]},
318 "timestamp": {"fake": ["u64", 1735000000, 1738000000]},
319 "approved": {"or": [
320 {"var": "is_premium"},
321 {">": [{"var": "random_score"}, 0.1]}
322 ]}
323 },
324 {
325 "id": {"fake": ["uuid"]},
326 "amount": {
327 "*": [
328 {"fake": ["f64", 10, 500]},
329 {"if": [{"var": "is_premium"}, 1.5, 1]}
330 ]
331 },
332 "merchant": {"fake": ["company_name"]},
333 "category": {"fake": ["industry"]},
334 "timestamp": {"fake": ["u64", 1735000000, 1738000000]},
335 "approved": {"or": [
336 {"var": "is_premium"},
337 {">": [{"var": "random_score"}, 0.1]}
338 ]}
339 }
340 ],
341 "engagement_score": {
342 "*": [
343 100,
344 {"min": [
345 1,
346 {"max": [
347 0,
348 {"+": [
349 {"if": [{"var": "is_premium"}, 0.3, 0]},
350 {"if": [{"var": "is_verified"}, 0.2, 0]},
351 {"*": [{"var": "random_score"}, 0.5]}
352 ]}
353 ]}
354 ]}
355 ]
356 },
357 "features_used": {
358 "if": [
359 {"var": "is_premium"},
360 ["dashboard", "profile", "settings", "analytics", "api", "export", "import"],
361 ["dashboard", "profile", "settings"]
362 ]
363 }
364 }
365 }
366 });
367
368 let generator = DataGenerator::from_value(config)?;
369
370 println!("Starting benchmark: generating complex data 100,000 times...");
371 println!("This benchmark uses a mix of:");
372 println!("- Fake data operators");
373 println!("- JSONLogic expressions (if/then/else, arithmetic, string operations)");
374 println!("- Variable references");
375 println!("- Complex nested structures");
376 println!();
377
378 let iterations = 100_000;
379 let mut last_progress = 0;
380
381 let start = Instant::now();
382
383 for i in 0..iterations {
384 let _ = generator.generate()?;
385
386 let progress = (i * 100) / iterations;
387 if progress > last_progress && progress % 10 == 0 {
388 println!("Progress: {progress}%");
389 last_progress = progress;
390 }
391 }
392
393 let duration = start.elapsed();
394
395 println!("\n=== Benchmark Results ===");
396 println!("Total iterations: {iterations}");
397 println!("Total time: {duration:.2?}");
398 println!(
399 "Average time per generation: {:.2?}",
400 duration / iterations as u32
401 );
402 println!(
403 "Generations per second: {:.2}",
404 iterations as f64 / duration.as_secs_f64()
405 );
406
407 let sample = generator.generate()?;
408 println!(
409 "\nSample output size: {} bytes",
410 serde_json::to_string(&sample)?.len()
411 );
412 println!("\nSample output (pretty printed):");
413 println!("{}", serde_json::to_string_pretty(&sample)?);
414
415 Ok(())
416}Sourcepub fn generate(&self) -> Result<Value>
pub fn generate(&self) -> Result<Value>
Examples found in repository?
examples/basic.rs (line 36)
3fn main() -> Result<(), Box<dyn std::error::Error>> {
4 // Basic configuration with the example from README
5 let config = r#"{
6 "metadata": {
7 "name": "User Profile Generator",
8 "version": "1.0.0",
9 "description": "Generates realistic user profile data"
10 },
11 "variables": {
12 "userId": {"fake": ["uuid"]},
13 "country": {"fake": ["country_code"]}
14 },
15 "schema": {
16 "id": {"var": "userId"},
17 "profile": {
18 "name": {"fake": ["name", "en_US"]},
19 "age": {"fake": ["u8", 18, 65]},
20 "address": {
21 "street": {"fake": ["street_address", "en_US"]},
22 "country": {"var": "country"}
23 },
24 "bankAccount": {
25 "bic": {"fake": ["bic"]},
26 "balance": {"fake": ["f32", 0, 10000.00]}
27 }
28 }
29 }
30 }"#;
31
32 // Create the generator
33 let generator = DataGenerator::from_json(config)?;
34
35 // Generate fake data
36 let fake_data = generator.generate()?;
37
38 // Print the generated data
39 println!("Generated User Profile:");
40 println!("{}", serde_json::to_string_pretty(&fake_data)?);
41
42 // Generate multiple records
43 println!("\nGenerating 3 user profiles:");
44 let batch = generator.generate_batch(3)?;
45 for (i, data) in batch.iter().enumerate() {
46 println!("\nProfile {}:", i + 1);
47 println!("{}", serde_json::to_string_pretty(data)?);
48 }
49
50 Ok(())
51}More examples
examples/benchmark.rs (line 384)
5fn main() -> Result<(), DataFakeError> {
6 let config = json!({
7 "metadata": {
8 "name": "Complex Benchmark Test",
9 "description": "Complex data generation benchmark with JSONLogic and fake operators"
10 },
11 "variables": {
12 "user_id": {"fake": ["uuid"]},
13 "base_timestamp": {"fake": ["u64", 1704067200, 1735689600]},
14 "country_code": {"fake": ["country_code"]},
15 "currency": {"fake": ["currency_code"]},
16 "age": {"fake": ["u8", 18, 65]},
17 "is_premium": {"fake": ["bool"]},
18 "base_salary": {"fake": ["f64", 30000, 150000]},
19 "company_name": {"fake": ["company_name"]},
20 "random_score": {"fake": ["f64", 0, 1]}
21 },
22 "schema": {
23 "id": {"var": "user_id"},
24 "timestamp": {"var": "base_timestamp"},
25 "user": {
26 "personal": {
27 "first_name": {"fake": ["first_name"]},
28 "last_name": {"fake": ["last_name"]},
29 "full_name": {
30 "cat": [
31 {"fake": ["first_name"]},
32 " ",
33 {"fake": ["last_name"]}
34 ]
35 },
36 "email": {
37 "if": [
38 {"var": "is_premium"},
39 {"fake": ["email"]},
40 {"fake": ["free_email"]}
41 ]
42 },
43 "phone": {"fake": ["phone_number"]},
44 "age": {"var": "age"},
45 "is_adult": {">=": [{"var": "age"}, 18]},
46 "age_group": {
47 "if": [
48 {"<": [{"var": "age"}, 25]},
49 "young",
50 {"if": [
51 {"<": [{"var": "age"}, 40]},
52 "adult",
53 {"if": [
54 {"<": [{"var": "age"}, 60]},
55 "middle-aged",
56 "senior"
57 ]}
58 ]}
59 ]
60 },
61 "username": {
62 "cat": [
63 {"fake": ["word"]},
64 "_",
65 {"fake": ["word"]},
66 "_",
67 {"fake": ["u16", 100, 999]}
68 ]
69 },
70 "password_hash": {"fake": ["password", 12, 16]},
71 "bio": {"fake": ["paragraph", 2, 4]}
72 },
73 "address": {
74 "street": {"fake": ["street_name"]},
75 "building": {"fake": ["u16", 1, 999]},
76 "full_address": {
77 "cat": [
78 {"fake": ["u16", 1, 999]},
79 " ",
80 {"fake": ["street_name"]},
81 " ",
82 {"fake": ["street_suffix"]}
83 ]
84 },
85 "city": {"fake": ["city"]},
86 "state": {"fake": ["state_name"]},
87 "country": {"var": "country_code"},
88 "postal_code": {"fake": ["post_code"]},
89 "coordinates": {
90 "lat": {"fake": ["latitude"]},
91 "lng": {"fake": ["longitude"]},
92 "formatted": {
93 "cat": [
94 {"fake": ["latitude"]},
95 ", ",
96 {"fake": ["longitude"]}
97 ]
98 }
99 }
100 },
101 "professional": {
102 "company": {"var": "company_name"},
103 "job_title": {"fake": ["profession"]},
104 "department": {"fake": ["industry"]},
105 "years_experience": {
106 "max": [
107 0,
108 {"-": [
109 {"var": "age"},
110 18
111 ]}
112 ]
113 },
114 "email": {
115 "cat": [
116 {"fake": ["word"]},
117 ".",
118 {"fake": ["word"]},
119 "@",
120 {"fake": ["word"]},
121 ".com"
122 ]
123 },
124 "company_suffix": {"fake": ["company_suffix"]},
125 "catch_phrase": {"fake": ["catch_phrase"]}
126 },
127 "financial": {
128 "currency": {"var": "currency"},
129 "credit_card": {"fake": ["credit_card_number"]},
130 "bank_account": {"fake": ["bic"]},
131 "base_salary": {"var": "base_salary"},
132 "bonus_percentage": {
133 "if": [
134 {"var": "is_premium"},
135 {"fake": ["f64", 15, 30]},
136 {"fake": ["f64", 5, 15]}
137 ]
138 },
139 "total_compensation": {
140 "*": [
141 {"var": "base_salary"},
142 {"+": [
143 1,
144 {"/": [
145 {"if": [
146 {"var": "is_premium"},
147 0.225,
148 0.1
149 ]},
150 1
151 ]}
152 ]}
153 ]
154 },
155 "credit_score": {
156 "if": [
157 {"var": "is_premium"},
158 {"fake": ["u16", 700, 850]},
159 {"fake": ["u16", 500, 700]}
160 ]
161 },
162 "has_debt": {"<": [{"var": "random_score"}, 0.6]},
163 "debt_amount": {
164 "if": [
165 {"<": [{"var": "random_score"}, 0.6]},
166 {"fake": ["f64", 1000, 50000]},
167 0
168 ]
169 }
170 },
171 "internet": {
172 "ip_v4": {"fake": ["ipv4"]},
173 "ip_v6": {"fake": ["ipv6"]},
174 "mac_address": {"fake": ["mac_address"]},
175 "user_agent": {"fake": ["user_agent"]},
176 "domain": {
177 "cat": [
178 {"fake": ["word"]},
179 ".",
180 {"fake": ["domain_suffix"]}
181 ]
182 },
183 "bandwidth_mbps": {
184 "if": [
185 {"var": "is_premium"},
186 {"fake": ["u16", 100, 1000]},
187 {"fake": ["u16", 10, 100]}
188 ]
189 }
190 },
191 "preferences": {
192 "theme": {
193 "if": [
194 {"<": [{"var": "random_score"}, 0.7]},
195 "dark",
196 "light"
197 ]
198 },
199 "language": {
200 "if": [
201 {"==": [{"var": "country_code"}, "US"]},
202 "en-US",
203 {"if": [
204 {"==": [{"var": "country_code"}, "GB"]},
205 "en-GB",
206 {"if": [
207 {"==": [{"var": "country_code"}, "FR"]},
208 "fr-FR",
209 "en-US"
210 ]}
211 ]}
212 ]
213 },
214 "notifications": {
215 "email": {"var": "is_premium"},
216 "push": {"<": [{"var": "random_score"}, 0.8]},
217 "sms": {"and": [
218 {"var": "is_premium"},
219 {"<": [{"var": "random_score"}, 0.5]}
220 ]}
221 },
222 "privacy_level": {
223 "if": [
224 {"var": "is_premium"},
225 {"if": [
226 {"<": [{"var": "random_score"}, 0.7]},
227 "high",
228 "medium"
229 ]},
230 {"if": [
231 {"<": [{"var": "random_score"}, 0.3]},
232 "high",
233 {"if": [
234 {"<": [{"var": "random_score"}, 0.7]},
235 "medium",
236 "low"
237 ]}
238 ]}
239 ]
240 }
241 },
242 "metadata": {
243 "account_created": {"fake": ["u64", 1577836800, 1704067200]},
244 "last_login": {"fake": ["u64", 1735689600, 1738368000]},
245 "login_count": {
246 "*": [
247 {"fake": ["u16", 10, 365]},
248 {"-": [
249 2024,
250 {"+": [
251 2020,
252 {"fake": ["u8", 0, 3]}
253 ]}
254 ]}
255 ]
256 },
257 "is_verified": {"or": [
258 {"var": "is_premium"},
259 {"<": [{"var": "random_score"}, 0.7]}
260 ]},
261 "subscription_tier": {
262 "if": [
263 {"var": "is_premium"},
264 {"if": [
265 {"<": [{"var": "random_score"}, 0.5]},
266 "pro",
267 "enterprise"
268 ]},
269 "free"
270 ]
271 },
272 "risk_score": {
273 "max": [
274 0,
275 {"min": [
276 100,
277 {"+": [
278 {"if": [{"var": "is_verified"}, 0, 20]},
279 {"if": [{"var": "is_premium"}, 0, 15]},
280 {"*": [
281 {"var": "random_score"},
282 65
283 ]}
284 ]}
285 ]}
286 ]
287 }
288 }
289 },
290 "activity": {
291 "recent_transactions": [
292 {
293 "id": {"fake": ["uuid"]},
294 "amount": {
295 "*": [
296 {"fake": ["f64", 10, 500]},
297 {"if": [{"var": "is_premium"}, 1.5, 1]}
298 ]
299 },
300 "merchant": {"fake": ["company_name"]},
301 "category": {"fake": ["industry"]},
302 "timestamp": {"fake": ["u64", 1735000000, 1738000000]},
303 "approved": {"or": [
304 {"var": "is_premium"},
305 {">": [{"var": "random_score"}, 0.1]}
306 ]}
307 },
308 {
309 "id": {"fake": ["uuid"]},
310 "amount": {
311 "*": [
312 {"fake": ["f64", 10, 500]},
313 {"if": [{"var": "is_premium"}, 1.5, 1]}
314 ]
315 },
316 "merchant": {"fake": ["company_name"]},
317 "category": {"fake": ["industry"]},
318 "timestamp": {"fake": ["u64", 1735000000, 1738000000]},
319 "approved": {"or": [
320 {"var": "is_premium"},
321 {">": [{"var": "random_score"}, 0.1]}
322 ]}
323 },
324 {
325 "id": {"fake": ["uuid"]},
326 "amount": {
327 "*": [
328 {"fake": ["f64", 10, 500]},
329 {"if": [{"var": "is_premium"}, 1.5, 1]}
330 ]
331 },
332 "merchant": {"fake": ["company_name"]},
333 "category": {"fake": ["industry"]},
334 "timestamp": {"fake": ["u64", 1735000000, 1738000000]},
335 "approved": {"or": [
336 {"var": "is_premium"},
337 {">": [{"var": "random_score"}, 0.1]}
338 ]}
339 }
340 ],
341 "engagement_score": {
342 "*": [
343 100,
344 {"min": [
345 1,
346 {"max": [
347 0,
348 {"+": [
349 {"if": [{"var": "is_premium"}, 0.3, 0]},
350 {"if": [{"var": "is_verified"}, 0.2, 0]},
351 {"*": [{"var": "random_score"}, 0.5]}
352 ]}
353 ]}
354 ]}
355 ]
356 },
357 "features_used": {
358 "if": [
359 {"var": "is_premium"},
360 ["dashboard", "profile", "settings", "analytics", "api", "export", "import"],
361 ["dashboard", "profile", "settings"]
362 ]
363 }
364 }
365 }
366 });
367
368 let generator = DataGenerator::from_value(config)?;
369
370 println!("Starting benchmark: generating complex data 100,000 times...");
371 println!("This benchmark uses a mix of:");
372 println!("- Fake data operators");
373 println!("- JSONLogic expressions (if/then/else, arithmetic, string operations)");
374 println!("- Variable references");
375 println!("- Complex nested structures");
376 println!();
377
378 let iterations = 100_000;
379 let mut last_progress = 0;
380
381 let start = Instant::now();
382
383 for i in 0..iterations {
384 let _ = generator.generate()?;
385
386 let progress = (i * 100) / iterations;
387 if progress > last_progress && progress % 10 == 0 {
388 println!("Progress: {progress}%");
389 last_progress = progress;
390 }
391 }
392
393 let duration = start.elapsed();
394
395 println!("\n=== Benchmark Results ===");
396 println!("Total iterations: {iterations}");
397 println!("Total time: {duration:.2?}");
398 println!(
399 "Average time per generation: {:.2?}",
400 duration / iterations as u32
401 );
402 println!(
403 "Generations per second: {:.2}",
404 iterations as f64 / duration.as_secs_f64()
405 );
406
407 let sample = generator.generate()?;
408 println!(
409 "\nSample output size: {} bytes",
410 serde_json::to_string(&sample)?.len()
411 );
412 println!("\nSample output (pretty printed):");
413 println!("{}", serde_json::to_string_pretty(&sample)?);
414
415 Ok(())
416}Sourcepub fn generate_batch(&self, count: usize) -> Result<Vec<Value>>
pub fn generate_batch(&self, count: usize) -> Result<Vec<Value>>
Examples found in repository?
examples/basic.rs (line 44)
3fn main() -> Result<(), Box<dyn std::error::Error>> {
4 // Basic configuration with the example from README
5 let config = r#"{
6 "metadata": {
7 "name": "User Profile Generator",
8 "version": "1.0.0",
9 "description": "Generates realistic user profile data"
10 },
11 "variables": {
12 "userId": {"fake": ["uuid"]},
13 "country": {"fake": ["country_code"]}
14 },
15 "schema": {
16 "id": {"var": "userId"},
17 "profile": {
18 "name": {"fake": ["name", "en_US"]},
19 "age": {"fake": ["u8", 18, 65]},
20 "address": {
21 "street": {"fake": ["street_address", "en_US"]},
22 "country": {"var": "country"}
23 },
24 "bankAccount": {
25 "bic": {"fake": ["bic"]},
26 "balance": {"fake": ["f32", 0, 10000.00]}
27 }
28 }
29 }
30 }"#;
31
32 // Create the generator
33 let generator = DataGenerator::from_json(config)?;
34
35 // Generate fake data
36 let fake_data = generator.generate()?;
37
38 // Print the generated data
39 println!("Generated User Profile:");
40 println!("{}", serde_json::to_string_pretty(&fake_data)?);
41
42 // Generate multiple records
43 println!("\nGenerating 3 user profiles:");
44 let batch = generator.generate_batch(3)?;
45 for (i, data) in batch.iter().enumerate() {
46 println!("\nProfile {}:", i + 1);
47 println!("{}", serde_json::to_string_pretty(data)?);
48 }
49
50 Ok(())
51}pub fn config(&self) -> &DataFakeConfig
Auto Trait Implementations§
impl Freeze for DataGenerator
impl RefUnwindSafe for DataGenerator
impl Send for DataGenerator
impl Sync for DataGenerator
impl Unpin for DataGenerator
impl UnwindSafe for DataGenerator
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more