Add random seed to ensure reproducibility

[ni9999]

Description

Added random_seed parameter to data_generator

Related Issue

#20

Changes Made

• Added parameter random_seed in generate() function of CdsDataGenerator, EncounterGenerator, ConditionGenerator, ProcedureGenerator, MedicationRequestGenerator, PatientGenerator
• Used Faker.seed() method

Testing

Tested by generating data according to documentation multiple time with same seed

from healthchain.data_generators import CdsDataGenerator
from healthchain.base import Workflow

# Initialise data generator
data_generator = CdsDataGenerator()

# Generate FHIR resources for use case workflow
data_generator.set_workflow(Workflow.encounter_discharge)
data = data_generator.generate(random_seed=42)

print(data.model_dump())

Checklist

• I have read the contributing guidelines
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes

Additional Notes

Though the generated date of faker.date_time() remains same for a fixed seed, generated time differs. This may affect reproducibility.

[adamkells]

This looks good to me! Good spot on the date time with Faker. We may need to think about that longer term but this is perfect for now. Thank you!