#!/usr/bin/env python # -*- coding: utf-8 -*- # @Project : tql-Python. # @File : demo # @Time : 2019-08-15 10:20 # @Author : yuanjie # @Email : [email protected] # @Software : PyCharm # @Description : from iapp import App import time app = App() f1 = lambda **kwargs: 666 def f1(**kwargs): with open('./log.txt', 'a') as f: f.write("666\n") with open('./log.txt') as f: n = len(list(f)) def f2(**kwargs): global n return n + 1111111111
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Project : tql-App. # @File : nlp_app # @Time : 2020/11/4 10:24 上午 # @Author : yuanjie # @Email : [email protected] # @Software : PyCharm # @Description : from iapp import App import jieba.analyse as ja app = App() app.add_route('/get', lambda **kwargs: ja.tfidf(kwargs.get('text', '')), method="GET", result_key="keywords") app.run(port=9955, debug=False, reload=False)
global n
n = len(open("./new_tree.yml").read())
return text('OK')
@app.route("/files", methods=['GET', 'POST'])
async def post_json(request):
test_file = request.files.get('file')
basepath = os.path.dirname(__file__)
file_path = os.path.join(basepath, './', test_file.name)
with open(file_path, 'wb') as f:
f.write(test_file.body)
return redirect('/update')
from iapp import App
_app = App()
_app.app = app
def predict(**kwargs):
return n
_app.add_route('/model', predict)
_app.run()
@task(timedelta(hours=1), time(hour=1, minute=30))
async def foo_bar(_):
"""Runs the function every 1 hours after 1:30."""
print("Foo", datetime.now())
await asyncio.sleep(1)
print("Bar")
@task(timedelta(minutes=2), timedelta(seconds=10))
def baz(_):
"""Runs the function every 2 minutes after 10 seconds."""
print("Baz", datetime.now())
@task(start=timedelta(seconds=10))
def another(_):
"""Run the function after 10 seconds once."""
print("another", datetime.now())
from iapp import App
app_ = App()
app_.app = app
app_.add_route('/', lambda **kwargs: d) # values.get_value()
if __name__ == "__main__":
app.run(host='0.0.0.0', port=5000, debug=True, workers=4)
return model_map
f1 = lambda **kwargs: model_map
f2 = lambda **kwargs: d
def api(**kwargs):
print(kwargs)
print(kwargs.get('method')[0])
a = eval(kwargs.get('method')[0])(**kwargs)
return a
##############
app = App()
# app.app.add_task(task())
# update
app.add_route("/update", update, time=time.ctime())
app.add_route("/f1", f1, time=time.ctime())
app.add_route("/f2", f2, time=time.ctime())
app.add_route("/api", api, time=time.ctime())
app.run(workers=1, debug=True, access_log=True, port=9955)
global d
d = d - 1
print(d, 1 / d)
logging.warning(time.ctime())
global dt
dt = time.ctime()
return dt
scheduler = Scheduler()
scheduler.add_job(task, seconds=10)
scheduler.start()
dt = task()
# Api
update = lambda **kwargs: dt
pred1 = lambda **kwargs: kwargs['x'] + kwargs['y']
pred2 = lambda x=1, y=1: x - y
pred3 = lambda text='小米是家不错的公司': jieba.lcut(text)
app = App()
app.add_route("/", update, version="1")
app.add_route("/", update, methods="POST")
app.add_route("/f1", pred1, version="1")
app.add_route("/f2", pred2, version="2")
if __name__ == '__main__':
app.run(debug=True, port=8899)
# @File : main # @Time : 2019-08-30 17:31 # @Author : yuanjie # @Email : [email protected] # @Software : PyCharm # @Description : import os os.environ[ '--models'] = '/Users/yuanjie/Desktop/Projects/Python/tql-App/examples/fds/models' os.environ[ '--flag'] = '/Users/yuanjie/Desktop/Projects/Python/tql-App/examples/fds' flag = __import__('hotflag').flag from iapp import App from examples.fds.update import model2transformer app = App() def predict(**kwargs): model_name = kwargs["model_name"] # sklearn_lr_demo.model (predict, feature_transform) = model2transformer.get(model_name) X = feature_transform(**kwargs) # 二维数组 return predict(X) app.add_route('/deploy', predict, methods="POST", flag=flag) app.run()
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Project : tql-App. # @File : ann_search # @Time : 2020/11/5 4:04 下午 # @Author : yuanjie # @Email : [email protected] # @Software : PyCharm # @Description : import requests from functools import lru_cache from iapp import App app_ = App() app = app_.app @lru_cache(256) def get_bert_vector(text): return requests.get(f"http://tql.algo.browser.miui.srv/bert/simbert?texts=['{text}']").json()['vectors'] def xindao_search(**kwargs): text = kwargs.get('text', '') topk = kwargs.get('topk', 5) return_ids = kwargs.get('return_ids', 0) query_embedding = get_bert_vector(text) body = { "query": {
import numpy as np
from iapp import App
from paddleocr import PaddleOCR
ocr = PaddleOCR(use_angle_cls=True, lang="ch")
def get_ocr_result(**kwargs):
results = []
image_urls = kwargs.get('image_urls', [])
for image_url in image_urls:
os.system(f"wget {image_url} -O image")
result = ocr.ocr('image', cls=True) # todo
results.append(result)
return eval(str(results))
app_ = App()
app_.add_route('/ocr', get_ocr_result, method="POST")
app = app_.app
if __name__ == '__main__':
# app.run(port=9955, debug=False, reload=False)
app_.run(f"{app_.app_file_name(__file__)}",
port=9955,
debug=False,
reload=False)
# @Email : [email protected] # @Software : PyCharm # @Description : from iapp import App import time ##############update a = 666 def update(**kwargs): time.sleep(10) global a a = kwargs return a ############## app = App(1, workers=2) # update app.add_route("/update", update, time=time.ctime()) f1 = lambda **kwargs: a app.add_route("/f1", f1, time=time.ctime()) f2 = lambda **kwargs: 666 app.add_route("/f2", f2, time=time.ctime()) app.run()
# @Project : tql-App. # @File : scheduler # @Time : 2019-09-02 13:17 # @Author : yuanjie # @Email : [email protected] # @Software : PyCharm # @Description : import asyncio from datetime import datetime, time, timedelta from iapp.scheduler import SanicScheduler, task import jieba from iapp import App app = App(debug=True) scheduler = SanicScheduler(app.app, False) # CST 非 UTC c1 = {} c2 = {} c3 = {} @task(timedelta(seconds=10)) # 实现初始化 def hello1(xx): c1['n'] = c1.get('n', 0) + 1 print('c1:', c1) print("Hello, {0}".format(xx), datetime.now())