14 KiB
14 KiB
诗词收录系统 - API 使用文档
概述
本文档描述诗词收录系统的 API 接口使用方法。
基础信息
- API 地址:
app/apply.php - 请求方式: GET/POST
- 返回格式: JSON
- 字符编码: UTF-8
API 接口
1. 获取分类列表
获取所有可用的诗词分类。
接口地址: app/apply.php?api=categories
请求方式: GET
请求参数: 无
返回示例:
{
"ok": true,
"categories": [
{
"id": "1",
"sid": "1",
"icon": "fa-paper-plane",
"catename": "诗词句",
"alias": null,
"create_time": "2026-03-12 04:17:50",
"update_time": "2026-03-13 02:12:54"
}
],
"debug": {
"current_dir": "/www/wwwroot/yy.vogov.cn/api/app/apply.php",
"categories_count": 3
}
}
2. 检查诗词名称是否存在
检查指定的诗词名称是否已存在于数据库中(支持相似度检查)。
接口地址: app/apply.php?api=check-name
请求方式: POST
请求参数:
| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| name | string | 是 | 诗词名称/参考语句 |
| threshold | int | 否 | 相似度阈值(0-100),默认 80 |
请求示例:
const formData = new FormData();
formData.append('name', '盈盈一水间,脉脉不得语');
formData.append('threshold', 80);
const response = await fetch('app/apply.php?api=check-name', {
method: 'POST',
body: formData
});
const data = await response.json();
返回示例:
无相似内容:
{
"ok": true,
"exists": false,
"similar_count": 0,
"max_similarity": 0,
"threshold": 80
}
发现相似内容:
{
"ok": true,
"exists": true,
"similar_count": 2,
"max_similarity": 95,
"threshold": 80
}
返回字段说明:
| 字段名 | 类型 | 说明 |
|---|---|---|
| ok | boolean | 请求是否成功 |
| exists | boolean | 是否存在相似内容,true=存在,false=不存在 |
| similar_count | int | 相似内容条数 |
| max_similarity | float | 最高相似度百分比(0-100) |
| threshold | int | 使用的相似度阈值 |
3. 提交诗词收录申请
提交诗词收录申请到数据库。
接口地址: app/apply.php?api=submit
请求方式: POST
请求参数:
| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| name | string | 是 | 诗词名称/参考语句 |
| catename | string | 是 | 分类名称 |
| url | string | 是 | 诗人和标题 |
| keywords | string | 是 | 关键词,多个用逗号分隔 |
| introduce | string | 是 | 诗词介绍 |
| img | string | 否 | 平台/配图,默认值: 'default' |
| captcha | string | 是 | 人机验证码 |
| threshold | int | 否 | 相似度阈值(0-100),默认 80 |
请求示例:
const formData = new FormData();
formData.append('name', '盈盈一水间,脉脉不得语');
formData.append('catename', '诗词句');
formData.append('url', '古诗十九首');
formData.append('keywords', '爱情,古诗,离别');
formData.append('introduce', '《迢迢牵牛星》是产生于汉代的一首文人五言诗...');
formData.append('img', 'iOS Swift');
formData.append('captcha', '1234');
formData.append('threshold', 80);
const response = await fetch('app/apply.php?api=submit', {
method: 'POST',
body: formData
});
const data = await response.json();
返回示例:
成功:
{
"ok": true,
"message": "✅ 提交成功!等待审核",
"debug": {
"input_data": {...},
"insert_result": true,
"last_insert_id": "123"
}
}
失败:
{
"ok": false,
"error": "该诗词已存在!",
"debug": {...}
}
返回字段说明:
| 字段名 | 类型 | 说明 |
|---|---|---|
| ok | boolean | 请求是否成功 |
| message | string | 成功消息(仅成功时返回) |
| error | string | 错误消息(仅失败时返回) |
| debug | object | 调试信息 |
在 App 中的使用方法
Android (Kotlin)
// 获取分类
suspend fun getCategories(): List<Category> {
val response = OkHttpClient().newCall(
Request.Builder()
.url("https://your-domain.com/app/apply.php?api=categories")
.build()
).execute()
val json = JSONObject(response.body?.string())
val categoriesArray = json.getJSONArray("categories")
val categories = mutableListOf<Category>()
for (i in 0 until categoriesArray.length()) {
val cat = categoriesArray.getJSONObject(i)
categories.add(Category(cat.getString("catename")))
}
return categories
}
// 检查名称
suspend fun checkName(name: String, threshold: Int = 80): CheckResult {
val formBody = FormBody.Builder()
.add("name", name)
.add("threshold", threshold.toString())
.build()
val response = OkHttpClient().newCall(
Request.Builder()
.url("https://your-domain.com/app/apply.php?api=check-name")
.post(formBody)
.build()
).execute()
val json = JSONObject(response.body?.string())
return CheckResult(
exists = json.getBoolean("exists"),
similarCount = json.getInt("similar_count"),
maxSimilarity = json.getDouble("max_similarity"),
threshold = json.getInt("threshold")
)
}
// 提交收录
suspend fun submitPoem(data: PoemData): Boolean {
val formBody = FormBody.Builder()
.add("name", data.name)
.add("catename", data.catename)
.add("url", data.url)
.add("keywords", data.keywords)
.add("introduce", data.introduce)
.add("img", data.img ?: "default")
.add("captcha", data.captcha)
.add("threshold", data.threshold?.toString() ?: "80")
.build()
val response = OkHttpClient().newCall(
Request.Builder()
.url("https://your-domain.com/app/apply.php?api=submit")
.post(formBody)
.build()
).execute()
val json = JSONObject(response.body?.string())
return json.getBoolean("ok")
}
iOS (Swift)
// 获取分类
func getCategories(completion: @escaping ([String]?, Error?) -> Void) {
guard let url = URL(string: "https://your-domain.com/app/apply.php?api=categories") else {
completion(nil, NSError(domain: "", code: 0, userInfo: [NSLocalizedDescriptionKey: "Invalid URL"]))
return
}
URLSession.shared.dataTask(with: url) { data, response, error in
if let error = error {
completion(nil, error)
return
}
guard let data = data else {
completion(nil, NSError(domain: "", code: 0, userInfo: [NSLocalizedDescriptionKey: "No data"]))
return
}
do {
if let json = try JSONSerialization.jsonObject(with: data) as? [String: Any],
let categories = json["categories"] as? [[String: Any]] {
let categoryNames = categories.compactMap { $0["catename"] as? String }
completion(categoryNames, nil)
}
} catch {
completion(nil, error)
}
}.resume()
}
// 检查名称
func checkName(name: String, threshold: Int = 80, completion: @escaping (CheckResult?, Error?) -> Void) {
guard let apiUrl = URL(string: "https://your-domain.com/app/apply.php?api=check-name") else {
completion(nil, NSError(domain: "", code: 0, userInfo: [NSLocalizedDescriptionKey: "Invalid URL"]))
return
}
var request = URLRequest(url: apiUrl)
request.httpMethod = "POST"
let parameters = [
"name": name,
"threshold": "\(threshold)"
]
request.httpBody = parameters.percentEncoded()
URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
completion(nil, error)
return
}
guard let data = data else {
completion(nil, NSError(domain: "", code: 0, userInfo: [NSLocalizedDescriptionKey: "No data"]))
return
}
do {
if let json = try JSONSerialization.jsonObject(with: data) as? [String: Any],
let exists = json["exists"] as? Bool,
let similarCount = json["similar_count"] as? Int,
let maxSimilarity = json["max_similarity"] as? Double,
let threshold = json["threshold"] as? Int {
let result = CheckResult(
exists: exists,
similarCount: similarCount,
maxSimilarity: maxSimilarity,
threshold: threshold
)
completion(result, nil)
}
} catch {
completion(nil, error)
}
}.resume()
}
// 提交收录
func submitPoem(name: String, catename: String, url: String, keywords: String, introduce: String, img: String?, captcha: String, threshold: Int = 80, completion: @escaping (Bool, String?) -> Void) {
guard let apiUrl = URL(string: "https://your-domain.com/app/apply.php?api=submit") else {
completion(false, "Invalid URL")
return
}
var request = URLRequest(url: apiUrl)
request.httpMethod = "POST"
let parameters = [
"name": name,
"catename": catename,
"url": url,
"keywords": keywords,
"introduce": introduce,
"img": img ?? "default",
"captcha": captcha,
"threshold": "\(threshold)"
]
request.httpBody = parameters.percentEncoded()
URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
completion(false, error.localizedDescription)
return
}
guard let data = data else {
completion(false, "No data")
return
}
do {
if let json = try JSONSerialization.jsonObject(with: data) as? [String: Any],
let ok = json["ok"] as? Bool {
let message = json["message"] as? String ?? json["error"] as? String
completion(ok, message)
}
} catch {
completion(false, error.localizedDescription)
}
}.resume()
}
extension Dictionary {
func percentEncoded() -> Data? {
return map { key, value in
let escapedKey = "\(key)".addingPercentEncoding(withAllowedCharacters: .urlQueryValueAllowed) ?? ""
let escapedValue = "\(value)".addingPercentEncoding(withAllowedCharacters: .urlQueryValueAllowed) ?? ""
return escapedKey + "=" + escapedValue
}
.joined(separator: "&")
.data(using: .utf8)
}
}
extension CharacterSet {
static let urlQueryValueAllowed: CharacterSet = {
let generalDelimitersToEncode = ":#[]@"
let subDelimitersToEncode = "!$&'()*+,;="
var allowed = CharacterSet.urlQueryAllowed
allowed.remove(charactersIn: "\(generalDelimitersToEncode)\(subDelimitersToEncode)")
return allowed
}()
}
Flutter (Dart)
import 'package:http/http.dart' as http;
import 'dart:convert';
// 获取分类
Future<List<String>> getCategories() async {
final response = await http.get(
Uri.parse('https://your-domain.com/app/apply.php?api=categories'),
);
if (response.statusCode == 200) {
final data = json.decode(response.body);
final List<dynamic> categories = data['categories'];
return categories.map((cat) => cat['catename'] as String).toList();
} else {
throw Exception('Failed to load categories');
}
}
// 检查名称
Future<CheckResult> checkName({
required String name,
int threshold = 80,
}) async {
final response = await http.post(
Uri.parse('https://your-domain.com/app/apply.php?api=check-name'),
body: {
'name': name,
'threshold': threshold.toString(),
},
);
if (response.statusCode == 200) {
final data = json.decode(response.body);
return CheckResult(
exists: data['exists'] as bool,
similarCount: data['similar_count'] as int,
maxSimilarity: (data['max_similarity'] as num).toDouble(),
threshold: data['threshold'] as int,
);
} else {
throw Exception('Failed to check name');
}
}
// 提交收录
Future<bool> submitPoem({
required String name,
required String catename,
required String url,
required String keywords,
required String introduce,
String? img,
required String captcha,
int threshold = 80,
}) async {
final response = await http.post(
Uri.parse('https://your-domain.com/app/apply.php?api=submit'),
body: {
'name': name,
'catename': catename,
'url': url,
'keywords': keywords,
'introduce': introduce,
'img': img ?? 'default',
'captcha': captcha,
'threshold': threshold.toString(),
},
);
if (response.statusCode == 200) {
final data = json.decode(response.body);
return data['ok'] as bool;
} else {
throw Exception('Failed to submit');
}
}
错误码说明
| 错误信息 | 说明 |
|---|---|
| 缺少必填字段:xxx | 必填字段未填写 |
| 该诗词已存在! | 诗词名称已在数据库中,或相似度超过阈值 |
| ❌ 数据库写入失败:无法插入数据 | 数据库插入失败 |
| 验证码错误,请重新输入 | 人机验证码错误 |
| 提交过于频繁,请稍后再试 | 频率限制,1分钟内只能提交3次 |
相似度说明
系统使用 Levenshtein 距离算法 计算文本相似度:
- 文本清理:自动去除标点符号和空格后比较
- 阈值设置:0-100%,默认 80%
- 判断规则:相似度 ≥ 阈值 则认为是重复内容
示例:
- "盈盈一水间,脉脉不得语"
- "盈盈一水间,脉脉不得语。"(相似度约 95%)
- "盈盈一水间,脉脉不得"(相似度约 85%)
注意事项
- 字符编码: 所有请求和响应都使用 UTF-8 编码
- 人机验证: 提交接口必须提供正确的验证码
- 频率限制: 同一 IP 1分钟内最多提交 3 次
- 相似度检查: check-name 和 submit 接口都会进行相似度检查
- 数据安全: 所有用户输入都会经过安全处理
- 调试信息: API 返回包含 debug 字段,方便开发调试,生产环境可忽略
更新日志
- v1.0.12: 添加相似度验证功能,支持可配置阈值
- v1.0.11: 修改验证表为 pre_site
- v1.0.10: 添加人机验证功能和频率限制
- v1.0.9: 添加结果Modal对话框
- v1.0.8: 添加检测按钮和提交前确认