optimize shap response latency

This commit is contained in:
2026-04-04 07:47:32 +08:00
parent 11ba5c535b
commit 1ee766720b
3 changed files with 43 additions and 8 deletions

View File

@@ -1,17 +1,31 @@
from flask import Blueprint, jsonify, request
import time
from services.shap_service import shap_service
shap_bp = Blueprint('shap', __name__, url_prefix='/api/shap')
def log_shap(route, stage, extra=''):
message = f'[SHAP] route={route} stage={stage}'
if extra:
message = f'{message} {extra}'
print(message, flush=True)
@shap_bp.route('/global', methods=['GET'])
def get_global_importance():
started_at = time.time()
try:
model_type = request.args.get('model', 'random_forest')
log_shap('/global', 'start', f'model={model_type}')
result = shap_service.get_global_importance(model_type)
elapsed = round(time.time() - started_at, 3)
log_shap('/global', 'success', f'model={model_type} elapsed={elapsed}s')
return jsonify({'code': 200, 'message': 'success', 'data': result})
except Exception as e:
elapsed = round(time.time() - started_at, 3)
log_shap('/global', 'error', f'elapsed={elapsed}s error={e}')
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500
@@ -30,21 +44,33 @@ def get_local_explanation():
@shap_bp.route('/interaction', methods=['GET'])
def get_interactions():
started_at = time.time()
try:
model_type = request.args.get('model', 'random_forest')
top_n = int(request.args.get('top_n', 10))
log_shap('/interaction', 'start', f'model={model_type} top_n={top_n}')
result = shap_service.get_interactions(model_type, top_n)
elapsed = round(time.time() - started_at, 3)
log_shap('/interaction', 'success', f'model={model_type} elapsed={elapsed}s')
return jsonify({'code': 200, 'message': 'success', 'data': result})
except Exception as e:
elapsed = round(time.time() - started_at, 3)
log_shap('/interaction', 'error', f'elapsed={elapsed}s error={e}')
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500
@shap_bp.route('/dependence', methods=['GET'])
def get_dependence():
started_at = time.time()
try:
feature = request.args.get('feature', '月均加班时长')
model_type = request.args.get('model', 'random_forest')
log_shap('/dependence', 'start', f'model={model_type} feature={feature}')
result = shap_service.get_dependence(feature, model_type)
elapsed = round(time.time() - started_at, 3)
log_shap('/dependence', 'success', f'model={model_type} elapsed={elapsed}s')
return jsonify({'code': 200, 'message': 'success', 'data': result})
except Exception as e:
elapsed = round(time.time() - started_at, 3)
log_shap('/dependence', 'error', f'elapsed={elapsed}s error={e}')
return jsonify({'code': 500, 'message': str(e), 'data': None}), 500