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"""
Test 2 — Context Window / Token Efficiency.
Hypothesis: Loading profile + 2 recent sessions stays well under 4,000 tokens;
naively loading all 10 sessions exceeds that limit significantly.
"""
import json
import tiktoken
from mock_data import PATIENT_PROFILE, SESSIONS
TOKEN_LIMIT = 4000
def build_payload_optimized() -> str:
"""Profile + 2 most recent sessions (sessions 9 and 10)."""
payload = {
"patient_profile": PATIENT_PROFILE,
"recent_sessions": [SESSIONS[8], SESSIONS[9]], # index 8=session9, 9=session10
}
return json.dumps(payload, ensure_ascii=False, indent=2)
def build_payload_naive() -> str:
"""Profile + all 10 sessions loaded into the prompt."""
payload = {
"patient_profile": PATIENT_PROFILE,
"all_sessions": SESSIONS,
}
return json.dumps(payload, ensure_ascii=False, indent=2)
def count_tokens(text: str, model: str = "gpt-4o") -> int:
enc = tiktoken.encoding_for_model(model)
return len(enc.encode(text))
def run_test2() -> dict:
print("\n" + "=" * 60)
print("TEST 2 — Context Window / Token Efficiency")
print("=" * 60)
opt_tokens = count_tokens(build_payload_optimized())
naive_tokens = count_tokens(build_payload_naive())
print(f" Optimized payload (profile + 2 sessions): {opt_tokens:>5} tokens")
print(f" Naive payload (profile + all 10 sessions): {naive_tokens:>5} tokens")
print(f" Limit: {TOKEN_LIMIT:>5} tokens")
print(f" Savings: {naive_tokens - opt_tokens:>5} tokens "
f"({(1 - opt_tokens/naive_tokens)*100:.0f}% fewer)")
assert opt_tokens < TOKEN_LIMIT, (
f"ASSERT FAILED: optimized payload is {opt_tokens} tokens (limit: {TOKEN_LIMIT})"
)
print(f"\n ASSERT passed: {opt_tokens} < {TOKEN_LIMIT} tokens")
return {
"opt_tokens": opt_tokens,
"naive_tokens": naive_tokens,
"limit": TOKEN_LIMIT,
"assert_passed": opt_tokens < TOKEN_LIMIT,
}