mirror of
https://github.com/DrizzleTime/Foxel.git
synced 2026-07-27 17:06:52 +08:00
feat(AiService, Config, DatabaseInitializer, SystemConfig): enhance AI prompt configurations and improve UI for prompt management
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@@ -59,7 +59,7 @@ public class AiService : IAiService
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var textContent = new TextContent
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{
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Type = "text",
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Text =
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Text = _configService["AI:ImageAnalysisPrompt"] ??
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"请详细分析这张图片,并提供全面的描述,以便用于向量嵌入和基于文本的图像搜索。描述需要包含:主体对象、场景环境、色彩特点、构图布局、风格特征、情绪氛围、细节特征等关键元素。请提供一个简短有力的标题,然后提供详细描述。\n\n请以JSON格式返回,格式如下:\n{\"title\": \"简短概括图片的核心内容\", \"description\": \"全面详细的描述,包含上述所有元素,使用丰富精确的词汇,避免笼统表达\"}\n\n请确保返回有效的JSON格式。"
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};
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@@ -103,7 +103,6 @@ public class AiService : IAiService
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{
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try
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{
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// 获取配置好的 HttpClient
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var client = ConfigureHttpClient();
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if (availableTags.Count == 0)
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@@ -111,11 +110,19 @@ public class AiService : IAiService
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string model = _configService["AI:Model"];
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var tagsText = string.Join(", ", availableTags);
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string promptTemplate = _configService["AI:TagMatchingPrompt"] ??
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"以下是一组标签:[{tagsText}]。\n\n请从这些标签中严格选择与下面描述内容高度相关的标签(最多选择5个)。只选择确实匹配的标签,如果找不到完全匹配或高度相关的标签,宁可返回空数组也不要选择不太相关的标签。\n\n描述内容:{description}\n\n请以JSON格式返回,格式如下:\n{{\"tags\": [\"标签1\", \"标签2\", \"标签3\"]}}\n\n请确保返回有效的JSON格式前面不要加```,并且只包含确实匹配的标签名称。";
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// 替换占位符
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string promptText = promptTemplate
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.Replace("{tagsText}", tagsText)
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.Replace("{description}", description);
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var textContent = new TextContent
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{
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Type = "text",
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Text =
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$"以下是一组标签:[{tagsText}]。\n\n请从这些标签中严格选择与下面描述内容高度相关的标签(最多选择5个)。只选择确实匹配的标签,如果找不到完全匹配或高度相关的标签,宁可返回空数组也不要选择不太相关的标签。\n\n描述内容:{description}\n\n请以JSON格式返回,格式如下:\n{{\"tags\": [\"标签1\", \"标签2\", \"标签3\"]}}\n\n请确保返回有效的JSON格式前面不要加```,并且只包含确实匹配的标签名称。"
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Text = promptText
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};
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var message = new ChatMessage
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@@ -232,10 +239,14 @@ public class AiService : IAiService
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if (allowNewTags)
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{
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// 获取配置的标签生成提示词,如果没有则使用默认提示词
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string defaultPrompt = _configService["AI:TagGenerationPrompt"] ??
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"请为图片生成5个最相关的标签,每个标签应该是简短且描述性的词语或短语。\n\n请以JSON格式返回,格式如下:\n{\"tags\": [\"标签1\", \"标签2\", \"标签3\", \"标签4\", \"标签5\"]}\n\n请确保返回有效的JSON格式。";
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// 如果允许新标签,则提供现有标签作为参考,但允许生成新标签
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promptText = availableTags.Count > 0
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? $"可以参考这些现有标签:[{string.Join(", ", availableTags)}],但也可以生成其他与图片内容相关的新标签。\n\n请为图片生成5个最相关的标签,优先使用已有标签,但如果有更恰当的新标签也可以使用。\n\n请以JSON格式返回,格式如下:\n{{\"tags\": [\"标签1\", \"标签2\", \"标签3\", \"标签4\", \"标签5\"]}}\n\n请确保返回有效的JSON格式。"
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: "请为图片生成5个最相关的标签,每个标签应该是简短且描述性的词语或短语。\n\n请以JSON格式返回,格式如下:\n{\"tags\": [\"标签1\", \"标签2\", \"标签3\", \"标签4\", \"标签5\"]}\n\n请确保返回有效的JSON格式。";
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? $"可以参考这些现有标签:[{string.Join(", ", availableTags)}],但也可以生成其他与图片内容相关的新标签。\n\n{defaultPrompt}"
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: defaultPrompt;
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}
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else
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{
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@@ -244,8 +255,10 @@ public class AiService : IAiService
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return new List<string>();
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var tagsText = string.Join(", ", availableTags);
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promptText =
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$"以下是一组标签:[{tagsText}]。\n\n请从这些标签中严格选择与图片内容高度相关的标签(最多选择5个)。只选择确实匹配的标签,如果找不到完全匹配或高度相关的标签,宁可返回空数组也不要选择不太相关的标签。\n\n请以JSON格式返回,格式如下:\n{{\"tags\": [\"标签1\", \"标签2\", \"标签3\"]}}\n\n请确保返回有效的JSON格式,并且只包含上述列表中的标签名称。";
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string templatePrompt = _configService["AI:TagMatchingPrompt"] ??
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"以下是一组标签:[{tagsText}]。\n\n请从这些标签中严格选择与图片内容高度相关的标签(最多选择5个)。只选择确实匹配的标签,如果找不到完全匹配或高度相关的标签,宁可返回空数组也不要选择不太相关的标签。\n\n请以JSON格式返回,格式如下:\n{{\"tags\": [\"标签1\", \"标签2\", \"标签3\"]}}\n\n请确保返回有效的JSON格式,并且只包含上述列表中的标签名称。";
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promptText = templatePrompt.Replace("{tagsText}", tagsText);
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}
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var textContent = new TextContent
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@@ -21,7 +21,7 @@ public class DatabaseInitializer(
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// 检查是否已经完成初始化
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if (await configService.ExistsAsync(InitializationFlag) &&
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configService[InitializationFlag] == "true")
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configService[InitializationFlag] == "true")
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{
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logger.LogInformation("数据库已完成初始化,跳过初始化步骤");
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return;
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@@ -34,27 +34,43 @@ public class DatabaseInitializer(
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// 确保数据库已创建
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await context.Database.EnsureCreatedAsync();
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// 初始化JWT配置
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await EnsureConfigExistsAsync("Jwt:SecretKey", "ChAtPiCdEfAuLtSeCrEtKeY2023_Extended_Secure_Key");
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await EnsureConfigExistsAsync("Jwt:Issuer", "Foxel");
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await EnsureConfigExistsAsync("Jwt:Audience", "FoxelUsers");
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// 初始化默认配置
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var defaultConfigs = new Dictionary<string, string>
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{
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// JWT配置
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["Jwt:SecretKey"] = "ChAtPiCdEfAuLtSeCrEtKeY2023_Extended_Secure_Key",
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["Jwt:Issuer"] = "Foxel",
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["Jwt:Audience"] = "FoxelUsers",
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// 初始化GitHub认证配置
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await EnsureConfigExistsAsync("Authentication:GitHubClientId", "placeholder_replace_with_actual_github_client_id");
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await EnsureConfigExistsAsync("Authentication:GitHubClientSecret", "placeholder_replace_with_actual_github_client_secret");
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await EnsureConfigExistsAsync("Authentication:GitHubCallbackUrl", "");
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// 初始化AI相关配置
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await EnsureConfigExistsAsync("AI:ApiEndpoint", "");
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await EnsureConfigExistsAsync("AI:ApiKey", "");
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await EnsureConfigExistsAsync("AI:Model", "");
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await EnsureConfigExistsAsync("AI:EmbeddingModel", "");
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// 初始化存储配置
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await EnsureConfigExistsAsync("Storage:TelegramStorageBotToken", "");
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await EnsureConfigExistsAsync("Storage:TelegramStorageChatId", "");
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await EnsureConfigExistsAsync("Storage:DefaultStorage", "Local");
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// 初始化其他配置
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await EnsureConfigExistsAsync("AppSettings:ServerUrl", "");
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// GitHub认证配置
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["Authentication:GitHubClientId"] = "placeholder_replace_with_actual_github_client_id",
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["Authentication:GitHubClientSecret"] = "placeholder_replace_with_actual_github_client_secret",
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["Authentication:GitHubCallbackUrl"] = "",
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// AI相关配置
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["AI:ApiEndpoint"] = "",
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["AI:ApiKey"] = "",
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["AI:Model"] = "",
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["AI:EmbeddingModel"] = "",
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["AI:ImageAnalysisPrompt"] =
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"Please analyze the given image in detail and provide a comprehensive description suitable for **vector embedding** and **text-based image retrieval**. Your description must include the following key elements:\n\n- **Main subject**\n- **Scene environment**\n- **Color characteristics**\n- **Composition layout**\n- **Stylistic features**\n- **Emotional atmosphere**\n- **Fine-grained details**\n\nReturn your response in **valid JSON format** as shown below:\n\n```json\n{\n \"title\": \"用中文简要概括图像核心内容的标题\",\n \"description\": \"使用中文全面、详细地描述图像内容,涵盖上述所有要素。使用丰富且精确的词汇,避免模糊或通用的表述。描述不得超过2000个字符。\"\n}\n```\n\n⚠️ Make sure:\n- Both `title` and `description` must be written in **Chinese**.\n- The `description` must be **rich, accurate**, and **strictly under 2000 characters**.\n- The output must be **valid JSON only**, with no code fences or extra formatting.",
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["AI:TagGenerationPrompt"] =
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"Please generate **5 most relevant tags** for the given image. Each tag should be a **short and descriptive** word or phrase that accurately reflects key visual or thematic elements of the image.\n\nReturn your response in **valid JSON format** as shown below:\n\n```json\n{\n \"tags\": [\"标签1\", \"标签2\", \"标签3\", \"标签4\", \"标签5\"]\n}\n```\n\nMake sure the output is **strictly valid JSON**.",
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["AI:TagMatchingPrompt"] =
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"Given a list of tags: `[{tagsText}]`\n\nPlease strictly select only those tags that are **highly relevant** to the following description (select **up to 5**). Only include tags that **exactly or strongly match** the content. If **none** of the tags are a good match, return an **empty array** instead of including loosely related ones.\n\n**Description:**\n{description}\n\nReturn your response in **valid JSON format** as shown below:\n\n```json\n{\n \"tags\": [\"标签1\", \"标签2\", \"标签3\", \"标签4\", \"标签5\"]\n}\n```\n\n⚠️ Do **not** include code fences (no triple backticks), and ensure the JSON is **valid** and includes only truly matching tag names.",
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// 存储配置
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["Storage:TelegramStorageBotToken"] = "",
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["Storage:TelegramStorageChatId"] = "",
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["Storage:DefaultStorage"] = "Local",
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// 其他配置
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["AppSettings:ServerUrl"] = ""
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};
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foreach (var (key, value) in defaultConfigs)
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{
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await EnsureConfigExistsAsync(key, value);
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}
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// 初始化管理员角色和用户
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await InitializeAdminRoleAndUserAsync();
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@@ -111,6 +127,7 @@ public class DatabaseInitializer(
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await context.Roles.AddAsync(adminRole);
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await context.SaveChangesAsync();
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}
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logger.LogInformation("请注意,第一个注册的用户将自动成为管理员");
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}
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}
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}
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