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http_server.py
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# -*- coding: UTF-8 -*-
"""
SVC处理逻辑
1. 根据跟定的vocal_url 判别男女
2. 根据男女信息选择适合的男女url
3. 模型推理
"""
import gc
import os
import sys
sys.path.append(os.path.dirname(__file__))
sys.path.append(os.path.join(os.path.dirname(__file__), "../"))
import json
import time
import socket
import logging
import hashlib
from flask import Flask, jsonify, request, abort
from redis_helper import RedisHelper
from feishu_helper import feishu_send
from common import *
# 全局设置
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s', datefmt='%Y-%m-%d %I:%M:%S', level=logging.INFO)
app = Flask(__name__)
class HttpServer:
def __init__(self, redis_conf, server_conf):
st = time.time()
self.redis_helper = RedisHelper(redis_conf)
self.server_conf = server_conf
self.last_send_time = time.time()
self.time_interval = 60
logging.info(f"HttpServer init conf={redis_conf}, {server_conf} sp={time.time() - st}")
def process(self, in_data):
msg = {
"status": gs_err_code_params,
"schedule": 100,
"gender": "unknown",
"target_song_url": "",
}
if not check_input(in_data):
return msg
num = self.redis_helper.llen(self.server_conf["producer"])
if num > 10:
msg["status"] = gs_err_code_too_many_connections
if time.time() - self.last_send_time > 60:
err_msg = f"ai meisheng process_async too many connections:{num}"
self.last_send_time = time.time()
feishu_send(gs_feishu_conf["url"], err_msg, gs_feishu_conf["users"])
return msg
distinct_id = hashlib.md5(in_data["record_song_url"].encode()).hexdigest()
distinct_key = self.server_conf["ai_meisheng_key_prefix"] + distinct_id
if not self.redis_helper.exists(distinct_key):
msg["status"] = gs_err_code_pending
self.redis_helper.set(distinct_key, json.dumps(msg))
self.redis_helper.lpush(self.server_conf["producer"], json.dumps(in_data))
self.redis_helper.expire(distinct_key, 15)
msg = self.redis_helper.get(distinct_key)
return json.loads(msg)
gs_http_server = HttpServer(gs_redis_conf, gs_server_redis_conf)
@app.route("/ai_meisheng", methods=["POST"])
def ai_meisheng():
data = request.json
st = time.time()
logging.info(f"ai_meisheng:in:{data}")
msg = gs_http_server.process(data)
json_msg = jsonify(msg)
logging.info(f"ai_meisheng:out:{data}-{msg}, sp={time.time() - st}")
return json_msg
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5000, threaded=False)

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