hiring_systems.py

from systems.parse import parse
import pandas as pd

# Define the model specification
spec = """
# Hiring Pipeline Model
[PotentialCandidates] > Outreaches @ 10
Outreaches > Interested @ Conversion(0.5)  
Interested > Active @ Conversion(0.5)
Active > Offers @ Conversion(0.1)
Offers > Hires @ Conversion(0.7)
"""

# Parse the model and run it for 10 rounds
model = parse(spec)
results = model.run(rounds=10)

# Convert results to a pandas DataFrame for nice display
df = pd.DataFrame(results)

# Display the table (remove the infinite PotentialCandidates column)
if 'PotentialCandidates' in df.columns:
    df = df.drop(columns=['PotentialCandidates'])

print("Hiring Pipeline Results:")
print(df)

# Optional: Calculate cumulative hires over time
print("\nCumulative Hires Over Time:")
print(df['Hires'].cumsum())