python处理apiDoc转swagger
python处理apiDoc转swagger需要转换的接口
现在我需要转换的接口全是nodejs写的数据，而且均为post传输的json格式接口
apiDoc格式
apiDoc代码中的格式如下：
/**
* @api {方法} 路径 标题
* @apiGroup Group
* @apiDescription 描述这个API的信息
*
* @apiParam {String} userName 用户名
* @apiParamExample {json} request-example
* {
*"userName": "Eve"
* }
*
* @apiError {String} message 错误信息
* @apiErrorExample{json} error-example
* {
* "message": "用户名不存在"
* }
*
*
* @apiSuccess {String} userName 用户名
* @apiSuccess {String} createTime 创建时间
* @apiSuccess {String} updateTime 更新时间
* @apiSuccessExample{json} success-example
* {
* "userName": "Eve",
* "createTime": "1568901681"
* "updateTime": "1568901681"
* }
*/function getUserInfo(username) {
// 假如这个函数是根据用户名返回用户信息的
}使用npm安装apidoc插件：
npm install apidoc再新建对应的apidoc.json，格式如下：
{
"name": "文档名",
"version": "版本号",
"description": "解释",
"title": "标题",
"url" : "地址"
}然后在apidoc.json路径下执行命令可以生成接口文档（src是接口代码文件夹，apidoc是生成文档的文件夹）：
apidoc -i src/ -o apidoc/生成后可以在apidoc文件夹中打开index.html查看生成的接口文档，生成文档时会生成一个api_data.json，下面会用到
swagger格式
这里我们暂时只需要关注参数为json的接口格式
{
"swagger": "2.0",
"info": {
"description": "1.0版本接口文档",
"version": "1.0.5",
"title": "智能医疗辅助平台",
"termsOfService": "http://swagger.io/terms/"
},
"host": "http://localhost:8080",
"basePath": "/",
"tags": [],
"paths": {},
"definitions": {}
}其中path是存放接口的，tags是存放的分组名列表，definitions是实体列表（json参数）
思路
使用apidoc包生成apidoc的json格式数据，然后使用python读取出接口地址、名字、组名、输入参数格式和例子、输出参数格式和例子等，然后根据swagger格式填入对应的数据即可生成swagger的json格式
我的话是会直接使用处理出的swagger的json格式的数据导入yApi中
代码
代码虽然在下面，但是是我临时着急用写的，有的地方是写死的，需要改，这里放出来主要是讲个大致的思路
import re
import json
import demjson
import decimal
# 保存时会出现byte格式问题，使用这个处理
class DecimalEncoder(json.JSONEncoder):
def default(self, o):
if isinstance(o, decimal.Decimal):
return float(o)
super(DecimalEncoder, self).default(o)
# 分析例子转json，在这里可以自己添加规则
def analyze_demjson(json_data):
item = json_data.replace("\\n", "").replace("\\", "").replace(" ", "")
result_item = {}
try:
result_item = demjson.decode(item, encoding='UTF-8')
except:
print(item)
return result_item
# 获取解析apidoc数据
def get_api_doc_data(name):
data_list = None
group_list = {}
with open(name, mode='r', encoding="UTF-8") as f:
data_list = json.load(f)
for data in data_list:
if data['group'] in group_list:
group_list].append(data)
else:
group_list] =
return group_list
# 转为swagger写入
def set_swagger_data(data):
swagger_json = {
"swagger": "2.0",
"info": {
"description": "1.0版本接口文档",
"version": "1.0.5",
"title": "智能医疗辅助平台",
"termsOfService": "http://swagger.io/terms/"
},
"host": "http://localhost:8080",
"basePath": "/",
"tags": [],
"paths": {},
"definitions": {}
}
# 添加分组
for group_key in data:
swagger_json['tags'].append({
"name": group_key,
"description": group_key
})
# 添加接口信息
# 循环分组
for group_key in data:
# 循环每组列表
for interface in data:
parameters = {}
if 'parameter' in interface and 'fields' in interface['parameter']:
# 获取参数demo信息
content = ""
if 'examples' in interface['parameter']:
content = analyze_demjson(interface['parameter']['examples']['content'])
# 添加参数信息
parameter_dict = {}
for parameter in interface['parameter']['fields']['Parameter']:
parameter_type = "None"
if "type" in parameter:
parameter_type = parameter['type'].lower()
if parameter_type == 'number':
parameter_type = "integer"
parameter_item = {
"description": parameter['description'].replace('<p>', '').replace('</p>', ''),
"required": parameter['optional'],
"type": parameter_type,
"default": ''
}
if parameter['field'] in content:
parameter_item['default'] = content]
parameter_dict] = parameter_item
parameters = {
"in": "body",
"name": interface['name'],
"description": interface['name'],
"required": "true",
"schema": {
"originalRef": interface['name'],
"$ref": "#/definitions/" + interface['name']
}
}
swagger_json['definitions']] = {
"type": "object",
"properties": parameter_dict
}
# 添加返回信息
responses = {
"200": {
"description": "successful operation",
"schema": {
"originalRef": interface['name'] + "_response",
"$ref": "#/definitions/" + interface['name'] + "_response"
}
}
}
schema = {
"type": "object",
"properties": {
"errcode": {
"type": "integer",
"default": 0,
"description": "编码，成功返回1"
},
"data": {
"type": "object",
"default": {},
"description": "监管对象明细,包含表头和数据内容两部分"
},
"errmsg": {
"type": "string",
"default": "ok",
"description": '编码提示信息，成功时返回 "ok"'
}
}
}
# 返回例子
if "success" in interface:
response_example = ""
if len(interface['success']['examples']) == 1:
response_example = analyze_demjson(interface['success']['examples']['content'])
else:
response_example = analyze_demjson(interface['success']['examples']['content'])
if 'data' in response_example and response_example['data'] != {}:
schema['properties']['data'] = response_example['data']
swagger_json['definitions'] + "_response"] = schema
# 加入
swagger_json['paths']] = {
interface['type']: {
"tags": ,
"summary": interface['title'].replace(interface['url'] + '-', ''),
"description": interface['title'],
"consumes": [
"application/json"
],
"produces": [
"application/json"
],
"parameters": ,
"responses": responses
}}
# 写入json文件
with open('swagger_data.json', 'w', encoding="UTF-8") as json_file:
json.dump(swagger_json, json_file, cls=DecimalEncoder, indent=4, ensure_ascii=False)
if __name__ == '__main__':
group_data = get_api_doc_data('api_data.json')
set_swagger_data(group_data)
来源:https://www.cnblogs.com/baby7/p/python_apidoc_to_swagger.html
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