import csv
from pathlib import Path
from src.config_loader import load_config
from src.pilot_diagnostics import PilotDiagnostics
FIELDS=["session_id","prompt_condition","valid_for_voice_analysis","response_detected","turn_level","pose_estimated_ever","camera_position_note","reaction_time_sec"]
def write(root:Path,rows):
    root.mkdir();p=root/"x_person_analysis_table.csv"
    with p.open("w",encoding="utf-8-sig",newline="") as f:w=csv.DictWriter(f,fieldnames=FIELDS);w.writeheader();w.writerows(rows)
def test_empty_is_insufficient_and_exports(tmp_path:Path)->None:
    d=PilotDiagnostics(load_config("config/default.yaml",None).pilot_diagnostics);r=d.run(tmp_path,tmp_path/"none");assert r.overall_status=="insufficient_data";paths=d.export(r,tmp_path/"out");assert len(paths)==4 and paths[1].read_bytes().startswith(b"\xef\xbb\xbf")
def test_ready_with_target_counts(tmp_path:Path)->None:
    rows=[]
    for cond in ("prompt","control"):
        for i in range(20):rows.append({"session_id":cond,"prompt_condition":cond,"valid_for_voice_analysis":"true","response_detected":"false","turn_level":"none","pose_estimated_ever":"true","camera_position_note":"front","reaction_time_sec":""})
    logs=tmp_path/"logs";write(logs,rows);r=PilotDiagnostics(load_config("config/default.yaml",None).pilot_diagnostics).run(tmp_path,logs);assert r.overall_status=="ready" and r.ready_for_main_experiment
def test_high_not_evaluable_needs_major(tmp_path:Path)->None:
    rows=[]
    for cond in ("prompt","control"):
        for i in range(5):rows.append({"session_id":cond,"prompt_condition":cond,"valid_for_voice_analysis":"true","response_detected":"false","turn_level":"not_evaluable","pose_estimated_ever":"false","camera_position_note":"front","reaction_time_sec":""})
    logs=tmp_path/"logs";write(logs,rows);assert PilotDiagnostics(load_config("config/default.yaml",None).pilot_diagnostics).run(tmp_path,logs).overall_status=="needs_major_adjustment"