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[data['group']].append(data) else: group_list[data['group']] = [data] 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[group_key]: 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'][0]['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['field']] parameter_dict[parameter['field']] = parameter_item parameters = { "in": "body", "name": interface['name'], "description": interface['name'], "required": "true", "schema": { "originalRef": interface['name'], "$ref": "#/definitions/" + interface['name'] } } swagger_json['definitions'][interface['name']] = { "type": "object", "properties": parameter_dict } # 添加返回信息 responses = { "200": { "description": "successful operation", "schema": { "originalRef": interface['name'] + "_response", "$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'][0]['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'][interface['name'] + "_response"] = schema # 加入 swagger_json['paths'][interface['url']] = { interface['type']: { "tags": [group_key], "summary": interface['title'].replace(interface['url'] + '-', ''), "description": interface['title'], "consumes": [ "application/json" ], "produces": [ "application/json" ], "parameters": [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) 
