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生成目录项目

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majiahui@haimaqingfan.com 1 year ago
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85fa4e6ba4
11 changed files with 1058 additions and 0 deletions
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  1. 8
      .idea/.gitignore
  2. 805
      .idea/deployment.xml
  3. 14
      .idea/generate_articles_directory.iml
  4. 19
      .idea/inspectionProfiles/Project_Default.xml
  5. 6
      .idea/inspectionProfiles/profiles_settings.xml
  6. 4
      .idea/misc.xml
  7. 8
      .idea/modules.xml
  8. 0
      README.md
  9. 172
      articles_directory_predict.py
  10. 21
      gunicorn_config.py
  11. 1
      run_api_gunicorn.sh

8
.idea/.gitignore
View File

@ -0,0 +1,8 @@
# 默认忽略的文件
/shelf/
/workspace.xml
# 基于编辑器的 HTTP 客户端请求
/httpRequests/
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml

805
.idea/deployment.xml
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<mapping local="$PROJECT_DIR$" web="/" />
</mappings>
</serverdata>
</paths>
<paths name="majiahui@192.168.31.74:22 password">
<serverdata>
<mappings>
<mapping local="$PROJECT_DIR$" web="/" />
</mappings>
</serverdata>
</paths>
</serverData>
</component>
</project>

14
.idea/generate_articles_directory.iml
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="Flask">
<option name="enabled" value="true" />
</component>
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="TemplatesService">
<option name="TEMPLATE_CONFIGURATION" value="Jinja2" />
</component>
</module>

19
.idea/inspectionProfiles/Project_Default.xml
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<component name="InspectionProjectProfileManager">
<profile version="1.0">
<option name="myName" value="Project Default" />
<inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
<option name="ignoredPackages">
<value>
<list size="6">
<item index="0" class="java.lang.String" itemvalue="transformers" />
<item index="1" class="java.lang.String" itemvalue="deepspeed" />
<item index="2" class="java.lang.String" itemvalue="sentencepiece" />
<item index="3" class="java.lang.String" itemvalue="xformers" />
<item index="4" class="java.lang.String" itemvalue="torch" />
<item index="5" class="java.lang.String" itemvalue="numpy" />
</list>
</value>
</option>
</inspection_tool>
</profile>
</component>

6
.idea/inspectionProfiles/profiles_settings.xml
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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

4
.idea/misc.xml
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.6" project-jdk-type="Python SDK" />
</project>

8
.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/generate_articles_directory.iml" filepath="$PROJECT_DIR$/.idea/generate_articles_directory.iml" />
</modules>
</component>
</project>

0
README.md
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172
articles_directory_predict.py
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from flask import Flask, jsonify
from flask import request
from transformers import pipeline
import redis
import uuid
import json
from threading import Thread
from vllm import LLM, SamplingParams
import time
import threading
import time
import concurrent.futures
import requests
import socket
def get_host_ip():
"""
查询本机ip地址
:return: ip
"""
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(('8.8.8.8', 80))
ip = s.getsockname()[0]
finally:
s.close()
return ip
app = Flask(__name__)
app.config["JSON_AS_ASCII"] = False
def dialog_line_parse(url, text):
"""
将数据输入模型进行分析并输出结果
:param url: 模型url
:param text: 进入模型的数据
:return: 模型返回结果
"""
response = requests.post(
url,
json=text,
timeout=1000
)
if response.status_code == 200:
return response.json()
else:
# logger.error(
# "【{}】 Failed to get a proper response from remote "
# "server. Status Code: {}. Response: {}"
# "".format(url, response.status_code, response.text)
# )
print("【{}】 Failed to get a proper response from remote "
"server. Status Code: {}. Response: {}"
"".format(url, response.status_code, response.text))
print(text)
return []
def request_api_chatgpt(prompt):
data = {
"texts": prompt
}
response = requests.post(
chatgpt_url_predict,
json=data,
timeout=100000
)
if response.status_code == 200:
return response.json()
else:
# logger.error(
# "【{}】 Failed to get a proper response from remote "
# "server. Status Code: {}. Response: {}"
# "".format(url, response.status_code, response.text)
# )
print("Failed to get a proper response from remote "
"server. Status Code: {}. Response: {}"
"".format(response.status_code, response.text))
return {}
def uuid_search(uuid):
data = {
"id": uuid
}
response = requests.post(
chatgpt_url_search,
json=data,
timeout=100000
)
if response.status_code == 200:
return response.json()
else:
# logger.error(
# "【{}】 Failed to get a proper response from remote "
# "server. Status Code: {}. Response: {}"
# "".format(url, response.status_code, response.text)
# )
print("Failed to get a proper response from remote "
"server. Status Code: {}. Response: {}"
"".format(response.status_code, response.text))
return {}
def uuid_search_mp(results):
results_list = [""] * len(results)
while True:
tiaochu_bool = True
for i in results_list:
if i == "":
tiaochu_bool = False
break
if tiaochu_bool == True:
break
for i in range(len(results)):
uuid = results[i]["texts"]["id"]
result = uuid_search(uuid)
if result["code"] == 200:
results_list[i] = result["text"]
time.sleep(3)
return results_list
def get_multiple_urls(urls):
input_values = []
for i in urls:
input_values.append(i[1])
with concurrent.futures.ThreadPoolExecutor() as executor:
# 使用map方法并发地调用worker_function
results = list(executor.map(request_api_chatgpt, input_values))
with concurrent.futures.ThreadPoolExecutor() as executor:
# 使用map方法并发地调用worker_function
results = list(executor.map(uuid_search_mp, [results]))
return_list = []
for i, j in zip(urls, results[0]):
return_list.append([i, j])
return return_list
@app.route("/articles_directory", methods=["POST"])
def articles_directory():
text = request.json["texts"] # 获取用户query中的文本 例如"I love you"
nums = request.json["nums"]
nums = int(nums)
url = "http://{}:12000/predict".format(str(get_host_ip()))
input_data = []
for i in range(nums):
input_data.append([url, {"texts": text}])
with concurrent.futures.ThreadPoolExecutor() as executor:
# 使用submit方法将任务提交给线程池，并获取Future对象
futures = [executor.submit(dialog_line_parse, i[0], i[1]) for i in input_data]
# 使用as_completed获取已完成的任务，并获取返回值
results = [future.result() for future in concurrent.futures.as_completed(futures)]
return jsonify(results) # 返回结果
if __name__ == "__main__":
app.run(debug=False, host='0.0.0.0', port=18000)

21
gunicorn_config.py
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# 并行工作线程数
workers = 2
# 监听内网端口5000【按需要更改】
bind = '0.0.0.0:18001'
loglevel = 'debug'
worker_class = "gevent"
# 设置守护进程【关闭连接时，程序仍在运行】
daemon = True
# 设置超时时间120s，默认为30s。按自己的需求进行设置
timeout = 120
# 设置访问日志和错误信息日志路径
accesslog = './logs/acess.log'
errorlog = './logs/error.log'
# access_log_format = '%(h) - %(t)s - %(u)s - %(s)s %(H)s'
# errorlog = '-' # 记录到标准输出
# 设置最大并发量
worker_connections = 20000

1
run_api_gunicorn.sh
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gunicorn articles_directory_predict:app -c gunicorn_config.py
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