adaptive-study-agent / tests /test_edges.py
Mituvinci
Initial commit: Adaptive Study Agent with LangGraph
2e8d6bf
from src.graph.edges import after_evaluate
def _make_state(**overrides):
base = {
"document_path": "test.pdf",
"chunks": ["chunk1", "chunk2"],
"questions_asked": 5,
"questions_correct": 3,
"current_question": "What is X?",
"current_answer": "X is Y.",
"current_score": 0.8,
"weak_chunks": [],
"session_history": [],
"mastery_reached": False,
}
base.update(overrides)
return base
def test_low_score_triggers_reread():
state = _make_state(current_score=0.5, weak_chunks=["c1"])
assert after_evaluate(state) == "reread"
def test_high_score_continues_to_next_question():
state = _make_state(current_score=0.9, questions_asked=5)
assert after_evaluate(state) == "next_question"
def test_mastery_reached_after_min_questions():
state = _make_state(
current_score=0.9,
questions_asked=10,
questions_correct=8,
)
assert after_evaluate(state) == "summarize"
def test_no_mastery_if_ratio_too_low():
state = _make_state(
current_score=0.9,
questions_asked=10,
questions_correct=5,
)
assert after_evaluate(state) == "next_question"
def test_reread_limit_exceeded_goes_to_next():
state = _make_state(
current_score=0.3,
weak_chunks=["c1", "c2", "c3", "c4"],
)
assert after_evaluate(state) == "next_question"