#452 Data Generator private package to generate test data from Dictionaries and Schemas by joneubank · Pull Request #454 · overture-stack/lectern

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank · 2026-08-31T01:10:15Z

Summary

Adds a private package for Lectern data-generator which can generate data that conforms to a Lectern dictionary or schema. It is created to help with performance testing of lectern systems (data validation, submission, etc.) with inputs at a representative scale for real world applications. This attempts to create data of any scale that will be valid for the restrictions defined in the lectern dictionary.

Includes:

Field generators that produce typed values respecting field restrictions (codeList, regex, required, range)
Record and schema generators that produce an entire record that matches a schema, with handling for unique constraints between fields
Dictionary generator that coordinates cross-schema foreign key relationships
File writer streams generated data to TSV/CSV files

Issues

Create Data Generator Package #452

This is the first step in a plan to refactor the Lectern validation libraries to function with large scale data. It is necessary to prepare performance testing for large data collections.

Fully implement typed value generation for boolean, integer, number, and string schema fields, with deterministic seeding, conditional restriction resolution, and conflict reporting when restrictions cannot be reconciled. - Add `FieldGeneratorResult<T>`, `FieldGeneratorFailureData<T>`, `FieldGeneratorOptions`, and `FieldGenerator<TField>` types - Export `testConditionalRestriction` from `@overture-stack/lectern-validation` - Add `@overture-stack/lectern-validation` as a dependency of `data-generator` - Add test suites for `fieldGenerators`, `resolveRestrictions`, and `restrictionReducers` (93 tests passing)

- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

…is not required Based on the presence of a `required:true` restriction. If required, always return a value. If not required, return an empty (undefined) value at a default 25% rate. - the rate can be specified in the generator options. rate will be between 0 and 1, with 0 being never empty and 1 being always empty. - record generator also gets the emptyRate option and this is threaded into the field generators - all tests are updated to have NO_EMPTY (emptyRate: 0) added to their generators to ensure they are testing a generated value and not a potentially empty result - empty results are determinsitic based on seed

- Fix Set mutation in extractFieldDependencies: build filtered set instead of deleting from Set during iteration - Fix cycle detection in resolveGenerationOrder: only lump genuinely cyclic fields in fallback tier; independent zero-in-degree fields now correctly get their own tier - Optimize resolveGenerationOrder to O(N+E) using a ready queue (Kahn's algorithm as intended) - Replace fc.sample with lightweight xorshift32 seeded draw in resolveForeignKeyOverrides - Rename mergedRange/effectiveRange to validatedRange/fallbackRange in resolveNumericConstraints - Extract buildRequiredEmptyConflict helper and apply required+empty conflict check to all field generators (was silently ignored for numeric and string fields) - Guard resolveArrayLength against min>max when integer exclusive bounds produce an impossible range - Narrow reduceRegex return type from RestrictionRegex|undefined to string|undefined; simplify filterCodeListByRegex accordingly - Add tests for cycle+independent field interaction and impossible array length exclusive bounds

…ictions

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

joneubank force-pushed the feat/iterative-validators branch from 019166b to a24587cCompare September 1, 2026 18:20

joneubank added 10 commits September 1, 2026 14:20

Scaffolding for data generator
abe3c74

Initial pass at implementing recordGenerator
e8cf5ae
- reorganizes generation files into /fields and /records dirs - includes field generation order based on conditional restriction relationships - includes ability to provide values from a parent entity to help satisfy FK restrictions

File stream writing utility for use with file generator
27c20e3

Exclude values on record and field generators to support unique restr…
b81ef8f
…ictions

Generator for a single schema that will write to a file
6ba68e6

Generator for full dictionary from schemas, respecting FK rules
61d2a32

File generator wrapper to save data emitted from data generators
5ccf0cf

joneubank force-pushed the feat/data-generator branch from e35630c to 5ccf0cfCompare September 1, 2026 18:30

Up to date pnpm lock file
2aee42e

joneubank requested review from MitchellShiell, justincorrigible, leoraba and mistryrn September 1, 2026 18:58

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