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增加邮件报警

master
majiahui@haimaqingfan.com 1 year ago
parent
commit
301a1ec91f
  1. 2
      gunicorn_config.py
  2. 120
      mistral_api.py
  3. 2
      mistral_model_predict_vllm.py
  4. 2
      run_api_gunicorn.sh
  5. 2
      run_model.sh

2
gunicorn_config.py

@ -1,7 +1,7 @@
# 并行工作线程数
workers = 8
# 监听内网端口5000【按需要更改】
bind = '0.0.0.0:12003'
bind = '0.0.0.0:12000'
loglevel = 'debug'

120
mistral_api.py

@ -59,19 +59,19 @@ def predict():
id_ = str(uuid.uuid1()) # 为query生成唯一标识
print("uuid: ", uuid)
d = {'id': id_, 'text': text} # 绑定文本和query id
try:
load_request_path = './request_data_logs/{}.json'.format(id_)
with open(load_request_path, 'w', encoding='utf8') as f2:
# ensure_ascii=False才能输入中文,否则是Unicode字符
# indent=2 JSON数据的缩进,美观
json.dump(d, f2, ensure_ascii=False, indent=4)
redis_.rpush(db_key_query, json.dumps({"id": id_, "path": load_request_path})) # 加入redis
redis_.sadd(db_key_querying, id_)
redis_.sadd(db_key_queryset, id_)
return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 200}
except:
return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 400}
smtp_f("vllm-main")
# try:
load_request_path = './request_data_logs/{}.json'.format(id_)
with open(load_request_path, 'w', encoding='utf8') as f2:
# ensure_ascii=False才能输入中文,否则是Unicode字符
# indent=2 JSON数据的缩进,美观
json.dump(d, f2, ensure_ascii=False, indent=4)
redis_.rpush(db_key_query, json.dumps({"id": id_, "path": load_request_path})) # 加入redis
redis_.sadd(db_key_querying, id_)
redis_.sadd(db_key_queryset, id_)
return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 200}
# except:
# return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 400}
# smtp_f("vllm-main")
return jsonify(return_text) # 返回结果
@ -79,54 +79,54 @@ def predict():
def search():
id_ = request.json['id'] # 获取用户query中的文本 例如"I love you"
result = redis_.get(id_) # 获取该query的模型结果
try:
if result is not None:
result_path = result.decode('UTF-8')
with open(result_path, encoding='utf8') as f1:
# 加载文件的对象
result_dict = json.load(f1)
code = result_dict["status_code"]
texts = result_dict["texts"]
probabilities = result_dict["probabilities"]
if str(code) == 400:
redis_.rpush(db_key_error, json.dumps({"id": id_}))
return False
result_text = {'code': code, 'text': texts, 'probabilities': probabilities}
# try:
if result is not None:
result_path = result.decode('UTF-8')
with open(result_path, encoding='utf8') as f1:
# 加载文件的对象
result_dict = json.load(f1)
code = result_dict["status_code"]
texts = result_dict["texts"]
probabilities = result_dict["probabilities"]
if str(code) == 400:
redis_.rpush(db_key_error, json.dumps({"id": id_}))
return False
result_text = {'code': code, 'text': texts, 'probabilities': probabilities}
else:
querying_list = list(redis_.smembers(db_key_querying))
querying_set = set()
for i in querying_list:
querying_set.add(i.decode())
querying_bool = False
if id_ in querying_set:
querying_bool = True
query_list_json = redis_.lrange(db_key_query, 0, -1)
query_set_ids = set()
for i in query_list_json:
data_dict = json.loads(i)
query_id = data_dict['id']
query_set_ids.add(query_id)
query_bool = False
if id_ in query_set_ids:
query_bool = True
if querying_bool == True and query_bool == True:
result_text = {'code': "201", 'text': "", 'probabilities': None}
elif querying_bool == True and query_bool == False:
result_text = {'code': "202", 'text': "", 'probabilities': None}
else:
querying_list = list(redis_.smembers(db_key_querying))
querying_set = set()
for i in querying_list:
querying_set.add(i.decode())
querying_bool = False
if id_ in querying_set:
querying_bool = True
query_list_json = redis_.lrange(db_key_query, 0, -1)
query_set_ids = set()
for i in query_list_json:
data_dict = json.loads(i)
query_id = data_dict['id']
query_set_ids.add(query_id)
query_bool = False
if id_ in query_set_ids:
query_bool = True
if querying_bool == True and query_bool == True:
result_text = {'code': "201", 'text': "", 'probabilities': None}
elif querying_bool == True and query_bool == False:
result_text = {'code': "202", 'text': "", 'probabilities': None}
else:
result_text = {'code': "203", 'text': "", 'probabilities': None}
load_request_path = './request_data_logs_203/{}.json'.format(id_)
with open(load_request_path, 'w', encoding='utf8') as f2:
# ensure_ascii=False才能输入中文,否则是Unicode字符
# indent=2 JSON数据的缩进,美观
json.dump(result_text, f2, ensure_ascii=False, indent=4)
except:
smtp_f("vllm-main")
result_text = {'code': "400", 'text': "", 'probabilities': None}
result_text = {'code': "203", 'text': "", 'probabilities': None}
load_request_path = './request_data_logs_203/{}.json'.format(id_)
with open(load_request_path, 'w', encoding='utf8') as f2:
# ensure_ascii=False才能输入中文,否则是Unicode字符
# indent=2 JSON数据的缩进,美观
json.dump(result_text, f2, ensure_ascii=False, indent=4)
# except:
# smtp_f("vllm-main")
# result_text = {'code': "400", 'text': "", 'probabilities': None}
return jsonify(result_text) # 返回结果
if __name__ == "__main__":

2
mistral_model_predict_vllm.py

@ -103,4 +103,4 @@ def classify(batch_size): # 调用模型,设置最大batch_size
if __name__ == '__main__':
t = Thread(target=classify, args=(batch_size,))
t.start()
t.start()

2
run_api_gunicorn.sh

@ -1 +1 @@
gunicorn mistral_api:app -c gunicorn_config.py
gunicorn mistral_api:app -c gunicorn_config.py

2
run_model.sh

@ -1 +1 @@
nohup python mistral_model_predict_vllm.py > myout.file 2>&1 &
nohup python mistral_model_predict_vllm.py > myout_model_11.file 2>&1 &

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