hack/tools/scripts/llm-key-hunter/results/_cache/content/alpaert_imagemanager2.json

{"repo": "alpaert/imagemanager2", "files": {"src/ImageManager.Infrastructure/Services/DeepSeekRecommendService.cs": {"5a244d079fbe69f852aca988f8cf47788351616e": {"t": 1785746200.5486302, "n": 4301, "h": "515df3b71e471a80", "c": "using System.Text;\nusing System.Text.Json;\nusing ImageManager.Core.Models;\nusing ImageManager.Core.Services;\n\nnamespace ImageManager.Infrastructure.Services;\n\npublic class DeepSeekRecommendService : IAiRecommendService\n{\n    private const string ApiEndpoint = \"https://api.deepseek.com/chat/completions\";\n    private const string Model = \"deepseek-chat\";\n    private const double Temperature = 0.4;\n\n    private static readonly HttpClient _http = new();\n    private string _apiKey = string.Empty;\n\n    public bool IsAvailable => !string.IsNullOrEmpty(_apiKey);\n\n    public void SetApiKey(string key) => _apiKey = key;\n\n    public async Task<string> RecommendAsync(string userInput, List<TagMapping> tagMappings, CancellationToken ct = default)\n    {\n        if (string.IsNullOrEmpty(_apiKey)) return \"错误：未设置 API Key，请在内存与缓存设置中配置 DeepSeek API Key。\";\n        if (tagMappings.Count == 0) return \"错误：本地标签库为空。\";\n\n        try\n        {\n            var systemPrompt = BuildSystemPrompt();\n            var userPrompt = BuildUserPrompt(userInput, tagMappings);\n\n            var requestBody = new\n            {\n                model = Model,\n                messages = new[]\n                {\n                    new { role = \"system\", content = systemPrompt },\n                    new { role = \"user\", content = userPrompt }\n                },\n                temperature = Temperature,\n                max_tokens = 1000,\n                stream = false\n            };\n\n            var json = JsonSerializer.Serialize(requestBody);\n            var content = new StringContent(json, Encoding.UTF8, \"application/json\");\n            using var request = new HttpRequestMessage(HttpMethod.Post, ApiEndpoint) { Content = content };\n            request.Headers.Add(\"Authorization\", $\"Bearer {_apiKey}\");\n\n            using var response = await _http.SendAsync(request);\n\n            if (!response.IsSuccessStatusCode)\n            {\n                var errBody = await response.Content.ReadAsStringAsync();\n                return $\"API 请求失败 (HTTP {(int)response.StatusCode}): {errBody.Truncate(300)}\";\n            }\n\n            var responseBody = await response.Content.ReadAsStringAsync();\n            using var doc = JsonDocument.Parse(responseBody);\n            var reply = doc.RootElement\n                .GetProperty(\"choices\")[0]\n                .GetProperty(\"message\")\n                .GetProperty(\"content\")\n                .GetString() ?? \"（AI 返回为空）\";\n\n            return reply.Trim();\n        }\n        catch (Exception ex)\n        {\n            return $\"请求异常: {ex.Message}\";\n        }\n    }\n\n    private static string BuildSystemPrompt()\n    {\n        return \"\"\"\n            你是一个 AI 绘画标签搜索专家。用户会描述想要的图片类型，你需要从可用标签库中挑选最匹配的标签，组合成搜索字符串。\n\n            搜索语法规则：\n            - 空格表示 AND（同时满足）：girl outdoor → 搜索同时包含 girl 和 outdoor 的图片\n            - 小写字母 o 表示 OR（满足其一）：smile o laugh → 搜索包含 smile 或 laugh 的图片\n            - 减号 - 表示 NOT（排除）：-sketch → 排除包含 sketch 标签的图片\n            - 可以组合使用：girl outdoor -sketch o smile → 同时满足 girl + outdoor，且不包含 sketch，或包含 smile\n\n            输出要求：\n            - 每行输出一个推荐组合，不要编号\n            - 每行格式：先用英文标签 + 搜索符号构成可搜索的字符串，然后用 \" → \" 分隔，后面跟对应的中文标签名\n            - 示例格式：girl outdoor → 女孩 户外\n            - 示例格式（带排除）：girl outdoor -sketch → 女孩 户外 排除草图\n            - 推荐的组合应该多样化，覆盖不同的构图角度、画风方向、场景搭配\n            - 最多输出 10 个推荐组合\n            - 每个组合中标签数量建议 2-6 个\n\n            重要：你必须严格使用可用标签列表中的英文标签名来构成搜索字符串，中文标签名必须与列表中给出的中文名一致，不要自行编造或翻译。\n            \"\"\";\n    }\n\n    private static string BuildUserPrompt(string userInput, List<TagMapping> tagMappings)\n    {\n        var sb = new StringBuilder();\n        sb.AppendLine(\"用户需求：\");\n        sb.AppendLine(userInput.Trim());\n        sb.AppendLine();\n        sb.AppendLine(\"可用标签列表（格式：英文名 → 中文名）：\");\n\n        foreach (var m in tagMappings)\n        {\n            if (string.IsNullOrEmpty(m.ChineseName))\n                sb.AppendLine($\"  {m.EnglishName}\");\n            else\n                sb.AppendLine($\"  {m.EnglishName} → {m.ChineseName}\");\n        }\n\n        sb.AppendLine();\n        sb.AppendLine(\"请根据用户需求，从上述标签中挑选并组合出搜索字符串。\");\n\n        return sb.ToString();\n    }\n}\n\ninternal static class StringExtensions\n{\n    public static string Truncate(this string value, int maxLength)\n        => value.Length <= maxLength ? value : value[..maxLength] + \"...\";\n}\n"}, "4b8b96324da8da32050254b091176bfc435815d3": {"t": 1785760549.856879, "n": 4301, "h": "515df3b71e471a80", "c": "using System.Text;\nusing System.Text.Json;\nusing ImageManager.Core.Models;\nusing ImageManager.Core.Services;\n\nnamespace ImageManager.Infrastructure.Services;\n\npublic class DeepSeekRecommendService : IAiRecommendService\n{\n    private const string ApiEndpoint = \"https://api.deepseek.com/chat/completions\";\n    private const string Model = \"deepseek-chat\";\n    private const double Temperature = 0.4;\n\n    private static readonly HttpClient _http = new();\n    private string _apiKey = string.Empty;\n\n    public bool IsAvailable => !string.IsNullOrEmpty(_apiKey);\n\n    public void SetApiKey(string key) => _apiKey = key;\n\n    public async Task<string> RecommendAsync(string userInput, List<TagMapping> tagMappings, CancellationToken ct = default)\n    {\n        if (string.IsNullOrEmpty(_apiKey)) return \"错误：未设置 API Key，请在内存与缓存设置中配置 DeepSeek API Key。\";\n        if (tagMappings.Count == 0) return \"错误：本地标签库为空。\";\n\n        try\n        {\n            var systemPrompt = BuildSystemPrompt();\n            var userPrompt = BuildUserPrompt(userInput, tagMappings);\n\n            var requestBody = new\n            {\n                model = Model,\n                messages = new[]\n                {\n                    new { role = \"system\", content = systemPrompt },\n                    new { role = \"user\", content = userPrompt }\n                },\n                temperature = Temperature,\n                max_tokens = 1000,\n                stream = false\n            };\n\n            var json = JsonSerializer.Serialize(requestBody);\n            var content = new StringContent(json, Encoding.UTF8, \"application/json\");\n            using var request = new HttpRequestMessage(HttpMethod.Post, ApiEndpoint) { Content = content };\n            request.Headers.Add(\"Authorization\", $\"Bearer {_apiKey}\");\n\n            using var response = await _http.SendAsync(request);\n\n            if (!response.IsSuccessStatusCode)\n            {\n                var errBody = await response.Content.ReadAsStringAsync();\n                return $\"API 请求失败 (HTTP {(int)response.StatusCode}): {errBody.Truncate(300)}\";\n            }\n\n            var responseBody = await response.Content.ReadAsStringAsync();\n            using var doc = JsonDocument.Parse(responseBody);\n            var reply = doc.RootElement\n                .GetProperty(\"choices\")[0]\n                .GetProperty(\"message\")\n                .GetProperty(\"content\")\n                .GetString() ?? \"（AI 返回为空）\";\n\n            return reply.Trim();\n        }\n        catch (Exception ex)\n        {\n            return $\"请求异常: {ex.Message}\";\n        }\n    }\n\n    private static string BuildSystemPrompt()\n    {\n        return \"\"\"\n            你是一个 AI 绘画标签搜索专家。用户会描述想要的图片类型，你需要从可用标签库中挑选最匹配的标签，组合成搜索字符串。\n\n            搜索语法规则：\n            - 空格表示 AND（同时满足）：girl outdoor → 搜索同时包含 girl 和 outdoor 的图片\n            - 小写字母 o 表示 OR（满足其一）：smile o laugh → 搜索包含 smile 或 laugh 的图片\n            - 减号 - 表示 NOT（排除）：-sketch → 排除包含 sketch 标签的图片\n            - 可以组合使用：girl outdoor -sketch o smile → 同时满足 girl + outdoor，且不包含 sketch，或包含 smile\n\n            输出要求：\n            - 每行输出一个推荐组合，不要编号\n            - 每行格式：先用英文标签 + 搜索符号构成可搜索的字符串，然后用 \" → \" 分隔，后面跟对应的中文标签名\n            - 示例格式：girl outdoor → 女孩 户外\n            - 示例格式（带排除）：girl outdoor -sketch → 女孩 户外 排除草图\n            - 推荐的组合应该多样化，覆盖不同的构图角度、画风方向、场景搭配\n            - 最多输出 10 个推荐组合\n            - 每个组合中标签数量建议 2-6 个\n\n            重要：你必须严格使用可用标签列表中的英文标签名来构成搜索字符串，中文标签名必须与列表中给出的中文名一致，不要自行编造或翻译。\n            \"\"\";\n    }\n\n    private static string BuildUserPrompt(string userInput, List<TagMapping> tagMappings)\n    {\n        var sb = new StringBuilder();\n        sb.AppendLine(\"用户需求：\");\n        sb.AppendLine(userInput.Trim());\n        sb.AppendLine();\n        sb.AppendLine(\"可用标签列表（格式：英文名 → 中文名）：\");\n\n        foreach (var m in tagMappings)\n        {\n            if (string.IsNullOrEmpty(m.ChineseName))\n                sb.AppendLine($\"  {m.EnglishName}\");\n            else\n                sb.AppendLine($\"  {m.EnglishName} → {m.ChineseName}\");\n        }\n\n        sb.AppendLine();\n        sb.AppendLine(\"请根据用户需求，从上述标签中挑选并组合出搜索字符串。\");\n\n        return sb.ToString();\n    }\n}\n\ninternal static class StringExtensions\n{\n    public static string Truncate(this string value, int maxLength)\n        => value.Length <= maxLength ? value : value[..maxLength] + \"...\";\n}\n"}, "5566da9a69006000af4724e30d4957d02246ae5c": {"t": 1785760551.3498719, "n": 4269, "h": "90d03cfc3d7331f0", "c": "using System.Text;\nusing System.Text.Json;\nusing ImageManager.Core.Models;\nusing ImageManager.Core.Services;\n\nnamespace ImageManager.Infrastructure.Services;\n\npublic class DeepSeekRecommendService : IAiRecommendService\n{\n    private const string ApiEndpoint = \"https://api.deepseek.com/chat/completions\";\n    private const string Model = \"deepseek-chat\";\n    private const double Temperature = 0.4;\n\n    private static readonly HttpClient _http = new();\n    private string _apiKey = string.Empty;\n\n    public bool IsAvailable => !string.IsNullOrEmpty(_apiKey);\n\n    public void SetApiKey(string key) => _apiKey = key;\n\n    public async Task<string> RecommendAsync(string userInput, List<TagMapping> tagMappings)\n    {\n        if (string.IsNullOrEmpty(_apiKey)) return \"错误：未设置 API Key，请在内存与缓存设置中配置 DeepSeek API Key。\";\n        if (tagMappings.Count == 0) return \"错误：本地标签库为空。\";\n\n        try\n        {\n            var systemPrompt = BuildSystemPrompt();\n            var userPrompt = BuildUserPrompt(userInput, tagMappings);\n\n            var requestBody = new\n            {\n                model = Model,\n                messages = new[]\n                {\n                    new { role = \"system\", content = systemPrompt },\n                    new { role = \"user\", content = userPrompt }\n                },\n                temperature = Temperature,\n                max_tokens = 1000,\n                stream = false\n            };\n\n            var json = JsonSerializer.Serialize(requestBody);\n            var content = new StringContent(json, Encoding.UTF8, \"application/json\");\n            using var request = new HttpRequestMessage(HttpMethod.Post, ApiEndpoint) { Content = content };\n            request.Headers.Add(\"Authorization\", $\"Bearer {_apiKey}\");\n\n            using var response = await _http.SendAsync(request);\n\n            if (!response.IsSuccessStatusCode)\n            {\n                var errBody = await response.Content.ReadAsStringAsync();\n                return $\"API 请求失败 (HTTP {(int)response.StatusCode}): {errBody.Truncate(300)}\";\n            }\n\n            var responseBody = await response.Content.ReadAsStringAsync();\n            using var doc = JsonDocument.Parse(responseBody);\n            var reply = doc.RootElement\n                .GetProperty(\"choices\")[0]\n                .GetProperty(\"message\")\n                .GetProperty(\"content\")\n                .GetString() ?? \"（AI 返回为空）\";\n\n            return reply.Trim();\n        }\n        catch (Exception ex)\n        {\n            return $\"请求异常: {ex.Message}\";\n        }\n    }\n\n    private static string BuildSystemPrompt()\n    {\n        return \"\"\"\n            你是一个 AI 绘画标签搜索专家。用户会描述想要的图片类型，你需要从可用标签库中挑选最匹配的标签，组合成搜索字符串。\n\n            搜索语法规则：\n            - 空格表示 AND（同时满足）：girl outdoor → 搜索同时包含 girl 和 outdoor 的图片\n            - 小写字母 o 表示 OR（满足其一）：smile o laugh → 搜索包含 smile 或 laugh 的图片\n            - 减号 - 表示 NOT（排除）：-sketch → 排除包含 sketch 标签的图片\n            - 可以组合使用：girl outdoor -sketch o smile → 同时满足 girl + outdoor，且不包含 sketch，或包含 smile\n\n            输出要求：\n            - 每行输出一个推荐组合，不要编号\n            - 每行格式：先用英文标签 + 搜索符号构成可搜索的字符串，然后用 \" → \" 分隔，后面跟对应的中文标签名\n            - 示例格式：girl outdoor → 女孩 户外\n            - 示例格式（带排除）：girl outdoor -sketch → 女孩 户外 排除草图\n            - 推荐的组合应该多样化，覆盖不同的构图角度、画风方向、场景搭配\n            - 最多输出 10 个推荐组合\n            - 每个组合中标签数量建议 2-6 个\n\n            重要：你必须严格使用可用标签列表中的英文标签名来构成搜索字符串，中文标签名必须与列表中给出的中文名一致，不要自行编造或翻译。\n            \"\"\";\n    }\n\n    private static string BuildUserPrompt(string userInput, List<TagMapping> tagMappings)\n    {\n        var sb = new StringBuilder();\n        sb.AppendLine(\"用户需求：\");\n        sb.AppendLine(userInput.Trim());\n        sb.AppendLine();\n        sb.AppendLine(\"可用标签列表（格式：英文名 → 中文名）：\");\n\n        foreach (var m in tagMappings)\n        {\n            if (string.IsNullOrEmpty(m.ChineseName))\n                sb.AppendLine($\"  {m.EnglishName}\");\n            else\n                sb.AppendLine($\"  {m.EnglishName} → {m.ChineseName}\");\n        }\n\n        sb.AppendLine();\n        sb.AppendLine(\"请根据用户需求，从上述标签中挑选并组合出搜索字符串。\");\n\n        return sb.ToString();\n    }\n}\n\ninternal static class StringExtensions\n{\n    public static string Truncate(this string value, int maxLength)\n        => value.Length <= maxLength ? value : value[..maxLength] + \"...\";\n}\n"}, "627f9e4b6f2854e144303ced9a9b7e4028513085": {"t": 1785760553.885251, "n": 4262, "h": "6f90178ec60ec933", "c": "using System.Text;\nusing System.Text.Json;\nusing ImageManager.Core.Models;\nusing ImageManager.Core.Services;\n\nnamespace ImageManager.Infrastructure.Services;\n\npublic class DeepSeekRecommendService : IAiRecommendService\n{\n    private const string ApiEndpoint = \"https://api.deepseek.com/chat/completions\";\n    private const string Model = \"deepseek-chat\";\n    private const double Temperature = 0.4;\n\n    private readonly HttpClient _http = new();\n    private string _apiKey = string.Empty;\n\n    public bool IsAvailable => !string.IsNullOrEmpty(_apiKey);\n\n    public void SetApiKey(string key) => _apiKey = key;\n\n    public async Task<string> RecommendAsync(string userInput, List<TagMapping> tagMappings)\n    {\n        if (string.IsNullOrEmpty(_apiKey)) return \"错误：未设置 API Key，请在内存与缓存设置中配置 DeepSeek API Key。\";\n        if (tagMappings.Count == 0) return \"错误：本地标签库为空。\";\n\n        try\n        {\n            var systemPrompt = BuildSystemPrompt();\n            var userPrompt = BuildUserPrompt(userInput, tagMappings);\n\n            var requestBody = new\n            {\n                model = Model,\n                messages = new[]\n                {\n                    new { role = \"system\", content = systemPrompt },\n                    new { role = \"user\", content = userPrompt }\n                },\n                temperature = Temperature,\n                max_tokens = 1000,\n                stream = false\n            };\n\n            var json = JsonSerializer.Serialize(requestBody);\n            var content = new StringContent(json, Encoding.UTF8, \"application/json\");\n            using var request = new HttpRequestMessage(HttpMethod.Post, ApiEndpoint) { Content = content };\n            request.Headers.Add(\"Authorization\", $\"Bearer {_apiKey}\");\n\n            using var response = await _http.SendAsync(request);\n\n            if (!response.IsSuccessStatusCode)\n            {\n                var errBody = await response.Content.ReadAsStringAsync();\n                return $\"API 请求失败 (HTTP {(int)response.StatusCode}): {errBody.Truncate(300)}\";\n            }\n\n            var responseBody = await response.Content.ReadAsStringAsync();\n            using var doc = JsonDocument.Parse(responseBody);\n            var reply = doc.RootElement\n                .GetProperty(\"choices\")[0]\n                .GetProperty(\"message\")\n                .GetProperty(\"content\")\n                .GetString() ?? \"（AI 返回为空）\";\n\n            return reply.Trim();\n        }\n        catch (Exception ex)\n        {\n            return $\"请求异常: {ex.Message}\";\n        }\n    }\n\n    private static string BuildSystemPrompt()\n    {\n        return \"\"\"\n            你是一个 AI 绘画标签搜索专家。用户会描述想要的图片类型，你需要从可用标签库中挑选最匹配的标签，组合成搜索字符串。\n\n            搜索语法规则：\n            - 空格表示 AND（同时满足）：girl outdoor → 搜索同时包含 girl 和 outdoor 的图片\n            - 小写字母 o 表示 OR（满足其一）：smile o laugh → 搜索包含 smile 或 laugh 的图片\n            - 减号 - 表示 NOT（排除）：-sketch → 排除包含 sketch 标签的图片\n            - 可以组合使用：girl outdoor -sketch o smile → 同时满足 girl + outdoor，且不包含 sketch，或包含 smile\n\n            输出要求：\n            - 每行输出一个推荐组合，不要编号\n            - 每行格式：先用英文标签 + 搜索符号构成可搜索的字符串，然后用 \" → \" 分隔，后面跟对应的中文标签名\n            - 示例格式：girl outdoor → 女孩 户外\n            - 示例格式（带排除）：girl outdoor -sketch → 女孩 户外 排除草图\n            - 推荐的组合应该多样化，覆盖不同的构图角度、画风方向、场景搭配\n            - 最多输出 10 个推荐组合\n            - 每个组合中标签数量建议 2-6 个\n\n            重要：你必须严格使用可用标签列表中的英文标签名来构成搜索字符串，中文标签名必须与列表中给出的中文名一致，不要自行编造或翻译。\n            \"\"\";\n    }\n\n    private static string BuildUserPrompt(string userInput, List<TagMapping> tagMappings)\n    {\n        var sb = new StringBuilder();\n        sb.AppendLine(\"用户需求：\");\n        sb.AppendLine(userInput.Trim());\n        sb.AppendLine();\n        sb.AppendLine(\"可用标签列表（格式：英文名 → 中文名）：\");\n\n        foreach (var m in tagMappings)\n        {\n            if (string.IsNullOrEmpty(m.ChineseName))\n                sb.AppendLine($\"  {m.EnglishName}\");\n            else\n                sb.AppendLine($\"  {m.EnglishName} → {m.ChineseName}\");\n        }\n\n        sb.AppendLine();\n        sb.AppendLine(\"请根据用户需求，从上述标签中挑选并组合出搜索字符串。\");\n\n        return sb.ToString();\n    }\n}\n\ninternal static class StringExtensions\n{\n    public static string Truncate(this string value, int maxLength)\n        => value.Length <= maxLength ? value : value[..maxLength] + \"...\";\n}\n"}}}}