Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

support paddle serving http deploy for text classification #3378

Merged
merged 4 commits into from
Oct 10, 2022
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -153,20 +153,37 @@ I0727 06:50:34.993671 43126 naive_executor.cc:102] --- skip [linear_75.tmp_1],
[OP Object] init success
```

#### 启动client测试
#### 启动rpc client测试
注意执行客户端请求时关闭代理,并根据实际情况修改server_url地址(启动服务所在的机器)
```shell
python rpc_client.py
```
输出打印如下:
```
text: 请问木竭胶囊能同高血压药、氨糖同时服吗?
label: 3,37
text: 消失的“外企光环”,5月份在华裁员900余人,香饽饽变“臭”了
label: 组织关系,组织关系##裁员
--------------------
text: 低压100*高压140*头涨,想吃点降压药。谢谢!
label: 0
text: 卡车超载致使跨桥侧翻,没那么简单
label: 灾害/意外,灾害/意外##坍/垮塌
--------------------
text: 脑穿通畸形易发人群有哪些
label: 0,9
text: 金属卡扣安装不到位,上海乐扣乐扣贸易有限公司将召回捣碎器1162件
label: 产品行为,产品行为##召回
--------------------
```
#### 启动http client测试
注意执行客户端请求时关闭代理,并根据实际情况修改server_url地址(启动服务所在的机器)
```shell
python http_client.py
```
输出打印如下:
```
text: 消失的“外企光环”,5月份在华裁员900余人,香饽饽变“臭”了
label: 组织关系,组织关系##裁员
--------------------
text: 卡车超载致使跨桥侧翻,没那么简单
label: 灾害/意外,灾害/意外##坍/垮塌
--------------------
text: 金属卡扣安装不到位,上海乐扣乐扣贸易有限公司将召回捣碎器1162件
label: 产品行为,产品行为##召回
--------------------
```
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
#rpc端口, rpc_port和http_port不允许同时为空。当rpc_port为空且http_port不为空时,会自动将rpc_port设置为http_port+1
rpc_port: 7688
rpc_port: 18090

#http端口, rpc_port和http_port不允许同时为空。当rpc_port可用且http_port为空时,不自动生成http_port
http_port: 9998
http_port: 9878

#worker_num, 最大并发数。
#当build_dag_each_worker=True时, 框架会创建worker_num个进程,每个进程内构建grpcSever和DAG
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,67 @@
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
from numpy import array
import requests
import json
import sys


class Runner(object):

def __init__(
self,
server_url: str,
):
self.server_url = server_url

def Run(self, text, label_list):
sentence = np.array([t.encode('utf-8') for t in text], dtype=np.object_)
sentence = sentence.__repr__()
data = {"key": ["sentence"], "value": [sentence]}
data = json.dumps(data)

ret = requests.post(url=self.server_url, data=data)
ret = ret.json()
for t, l in zip(text, eval(ret['value'][0])):
print("text: ", t)
label = ','.join([label_list[int(ll)] for ll in l.split(',')])
print("label: ", label)
print("--------------------")
return


if __name__ == "__main__":
server_url = "http://127.0.0.1:9878/seq_cls/prediction"
runner = Runner(server_url)
text = [
"消失的“外企光环”,5月份在华裁员900余人,香饽饽变“臭”了?", "卡车超载致使跨桥侧翻,没那么简单",
"金属卡扣安装不到位,上海乐扣乐扣贸易有限公司将召回捣碎器1162件"
]
label_list = [
'交往', '交往##会见', '交往##感谢', '交往##探班', '交往##点赞', '交往##道歉', '产品行为',
'产品行为##上映', '产品行为##下架', '产品行为##发布', '产品行为##召回', '产品行为##获奖', '人生',
'人生##产子/女', '人生##出轨', '人生##分手', '人生##失联', '人生##婚礼', '人生##庆生', '人生##怀孕',
'人生##死亡', '人生##求婚', '人生##离婚', '人生##结婚', '人生##订婚', '司法行为', '司法行为##举报',
'司法行为##入狱', '司法行为##开庭', '司法行为##拘捕', '司法行为##立案', '司法行为##约谈', '司法行为##罚款',
'司法行为##起诉', '灾害/意外', '灾害/意外##地震', '灾害/意外##坍/垮塌', '灾害/意外##坠机',
'灾害/意外##洪灾', '灾害/意外##爆炸', '灾害/意外##袭击', '灾害/意外##起火', '灾害/意外##车祸', '竞赛行为',
'竞赛行为##夺冠', '竞赛行为##晋级', '竞赛行为##禁赛', '竞赛行为##胜负', '竞赛行为##退役', '竞赛行为##退赛',
'组织关系', '组织关系##停职', '组织关系##加盟', '组织关系##裁员', '组织关系##解散', '组织关系##解约',
'组织关系##解雇', '组织关系##辞/离职', '组织关系##退出', '组织行为', '组织行为##开幕', '组织行为##游行',
'组织行为##罢工', '组织行为##闭幕', '财经/交易', '财经/交易##上市', '财经/交易##出售/收购',
'财经/交易##加息', '财经/交易##涨价', '财经/交易##涨停', '财经/交易##融资', '财经/交易##跌停',
'财经/交易##降价', '财经/交易##降息'
]
runner.Run(text, label_list)
Original file line number Diff line number Diff line change
Expand Up @@ -26,21 +26,37 @@ def __init__(
self.client = PipelineClient()
self.client.connect([server_url])

def Run(self, data):
def Run(self, data, label_list):
data = np.array([x.encode('utf-8') for x in data], dtype=np.object_)
ret = self.client.predict(feed_dict={"sentence": data})
for d, l, in zip(data, eval(ret.value[0])):
print("text: ", d)
print("label: ", l)
label = ','.join([label_list[int(ll)] for ll in l.split(',')])
print("label: ", label)
print("--------------------")
return


if __name__ == "__main__":
server_url = "127.0.0.1:7688"
server_url = "127.0.0.1:18090"
runner = Runner(server_url)
texts = [
text = [
"消失的“外企光环”,5月份在华裁员900余人,香饽饽变“臭”了?", "卡车超载致使跨桥侧翻,没那么简单",
"金属卡扣安装不到位,上海乐扣乐扣贸易有限公司将召回捣碎器1162件"
]
runner.Run(texts)
label_list = [
'交往', '交往##会见', '交往##感谢', '交往##探班', '交往##点赞', '交往##道歉', '产品行为',
'产品行为##上映', '产品行为##下架', '产品行为##发布', '产品行为##召回', '产品行为##获奖', '人生',
'人生##产子/女', '人生##出轨', '人生##分手', '人生##失联', '人生##婚礼', '人生##庆生', '人生##怀孕',
'人生##死亡', '人生##求婚', '人生##离婚', '人生##结婚', '人生##订婚', '司法行为', '司法行为##举报',
'司法行为##入狱', '司法行为##开庭', '司法行为##拘捕', '司法行为##立案', '司法行为##约谈', '司法行为##罚款',
'司法行为##起诉', '灾害/意外', '灾害/意外##地震', '灾害/意外##坍/垮塌', '灾害/意外##坠机',
'灾害/意外##洪灾', '灾害/意外##爆炸', '灾害/意外##袭击', '灾害/意外##起火', '灾害/意外##车祸', '竞赛行为',
'竞赛行为##夺冠', '竞赛行为##晋级', '竞赛行为##禁赛', '竞赛行为##胜负', '竞赛行为##退役', '竞赛行为##退赛',
'组织关系', '组织关系##停职', '组织关系##加盟', '组织关系##裁员', '组织关系##解散', '组织关系##解约',
'组织关系##解雇', '组织关系##辞/离职', '组织关系##退出', '组织行为', '组织行为##开幕', '组织行为##游行',
'组织行为##罢工', '组织行为##闭幕', '财经/交易', '财经/交易##上市', '财经/交易##出售/收购',
'财经/交易##加息', '财经/交易##涨价', '财经/交易##涨停', '财经/交易##融资', '财经/交易##跌停',
'财经/交易##降价', '财经/交易##降息'
]
runner.Run(text, label_list)
Original file line number Diff line number Diff line change
Expand Up @@ -149,7 +149,7 @@ I0628 09:12:30.787542 74305 naive_executor.cc:102] --- skip [linear_147.tmp_1],

```

#### 启动client测试
#### 启动rpc client测试
注意执行客户端请求时关闭代理,并根据实际情况修改server_url地址(启动服务所在的机器)
```shell
python rpc_client.py
Expand All @@ -173,3 +173,28 @@ label: 病因分析
--------------------

```

#### 启动http client测试
注意执行客户端请求时关闭代理,并根据实际情况修改server_url地址(启动服务所在的机器)
```shell
python http_client.py
```
输出打印如下:
```
data: 黑苦荞茶的功效与作用及食用方法
label: 功效作用
--------------------
data: 交界痣会凸起吗
label: 疾病表述
--------------------
data: 检查是否能怀孕挂什么科
label: 就医建议
--------------------
data: 鱼油怎么吃咬破吃还是直接咽下去
label: 其他
--------------------
data: 幼儿挑食的生理原因是
label: 病因分析
--------------------

```
Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
from numpy import array
import requests
import json
import sys


class Runner(object):

def __init__(
self,
server_url: str,
):
self.server_url = server_url

def Run(self, text, label_list):
sentence = np.array([t.encode('utf-8') for t in text], dtype=np.object_)
sentence = sentence.__repr__()
data = {"key": ["sentence"], "value": [sentence]}
data = json.dumps(data)

ret = requests.post(url=self.server_url, data=data)
ret = ret.json()
for t, l in zip(text, eval(ret['value'][0])):
print("text: ", t)
print("label: ", label_list[l])
print("--------------------")
return


if __name__ == "__main__":
server_url = "http://127.0.0.1:9878/seq_cls/prediction"
runner = Runner(server_url)
text = [
"黑苦荞茶的功效与作用及食用方法", "交界痣会凸起吗", "检查是否能怀孕挂什么科", "鱼油怎么吃咬破吃还是直接咽下去",
"幼儿挑食的生理原因是"
]
label_list = [
'病情诊断', '治疗方案', '病因分析', '指标解读', '就医建议', '疾病表述', '后果表述', '注意事项', '功效作用',
'医疗费用', '其他'
]
runner.Run(text, label_list)
Original file line number Diff line number Diff line change
Expand Up @@ -150,22 +150,41 @@ W0625 16:45:40.312942 40218 gpu_context.cc:278] Please NOTE: device: 3, GPU Comp
W0625 16:45:40.316538 40218 gpu_context.cc:306] device: 3, cuDNN Version: 8.1.
```

#### 启动client测试
#### 启动rpc client测试
注意执行客户端请求时关闭代理,并根据实际情况修改server_url地址(启动服务所在的机器)
```shell
python rpc_client.py
```
输出打印如下:
```
data: 五松新村房屋是被告婚前购买的;
label: 10
label: 婚前个人财产
--------------------
data: 被告于2016年3月将车牌号为皖B×××××出售了2.7万元,被告通过原告偿还了齐荷花人民币2.6万元,原、被告尚欠齐荷花2万元。
label: 2,9
label: 有夫妻共同财产,有夫妻共同债务
--------------------
data: 2、判令被告返还借婚姻索取的现金33万元,婚前个人存款10万元;
label: 10
label: 婚前个人财产
--------------------
data: 一、判决原告于某某与被告杨某某离婚;
label: 8,11
label: 准予离婚,法定离婚
```
#### 启动http client测试
注意执行客户端请求时关闭代理,并根据实际情况修改server_url地址(启动服务所在的机器)
```shell
python http_client.py
```
输出打印如下:
```
data: 五松新村房屋是被告婚前购买的;
label: 婚前个人财产
--------------------
data: 被告于2016年3月将车牌号为皖B×××××出售了2.7万元,被告通过原告偿还了齐荷花人民币2.6万元,原、被告尚欠齐荷花2万元。
label: 有夫妻共同财产,有夫妻共同债务
--------------------
data: 2、判令被告返还借婚姻索取的现金33万元,婚前个人存款10万元;
label: 婚前个人财产
--------------------
data: 一、判决原告于某某与被告杨某某离婚;
label: 准予离婚,法定离婚
```
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
rpc_port: 18090

#http端口, rpc_port和http_port不允许同时为空。当rpc_port可用且http_port为空时,不自动生成http_port
http_port: 5594
http_port: 9878

#worker_num, 最大并发数。
#当build_dag_each_worker=True时, 框架会创建worker_num个进程,每个进程内构建grpcSever和DAG
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,58 @@
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
from numpy import array
import requests
import json
import sys


class Runner(object):

def __init__(
self,
server_url: str,
):
self.server_url = server_url

def Run(self, text, label_list):
sentence = np.array([t.encode('utf-8') for t in text], dtype=np.object_)
sentence = sentence.__repr__()
data = {"key": ["sentence"], "value": [sentence]}
data = json.dumps(data)

ret = requests.post(url=self.server_url, data=data)
ret = ret.json()
for t, l in zip(text, eval(ret['value'][0])):
print("text: ", t)
label = ','.join([label_list[int(ll)] for ll in l.split(',')])
print("label: ", label)
print("--------------------")
return


if __name__ == "__main__":
server_url = "http://127.0.0.1:9878/seq_cls/prediction"
runner = Runner(server_url)
text = [
"五松新村房屋是被告婚前购买的;",
"被告于2016年3月将车牌号为皖B×××××出售了2.7万元,被告通过原告偿还了齐荷花人民币2.6万元,原、被告尚欠齐荷花2万元。",
"2、判令被告返还借婚姻索取的现金33万元,婚前个人存款10万元;", "一、判决原告于某某与被告杨某某离婚;"
]
label_list = [
'婚后有子女', '限制行为能力子女抚养', '有夫妻共同财产', '支付抚养费', '不动产分割', '婚后分居', '二次起诉离婚',
'按月给付抚养费', '准予离婚', '有夫妻共同债务', '婚前个人财产', '法定离婚', '不履行家庭义务', '存在非婚生子',
'适当帮助', '不履行离婚协议', '损害赔偿', '感情不和分居满二年', '子女随非抚养权人生活', '婚后个人财产'
]
runner.Run(text, label_list)
Loading