Changes
Build and Push Docker Images / build (push) Successful in 37s

This commit is contained in:
2026-05-04 21:02:35 +03:00
parent 34625ae242
commit fa1ef23c02
87 changed files with 3151 additions and 522 deletions
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using Api.Requests;
using Api.Services.Contracts;
using Microsoft.AspNetCore.Mvc;
namespace Api.Controllers;
[ApiController]
[Route("api/cv")]
public sealed class CvController : ControllerBase
{
private readonly ICvMatcherService _service;
private readonly ILogger<CvController> _logger;
public CvController(ICvMatcherService service, ILogger<CvController> logger)
{
_service = service;
_logger = logger;
}
[HttpPost("upload")]
[RequestSizeLimit(10 * 1024 * 1024)]
public async Task<IActionResult> Upload([FromForm(Name = "cv")] IFormFile? cv, [FromForm] bool gdprConsent, CancellationToken ct)
{
try
{
if (cv is null) return BadRequest(new { error = "Missing CV PDF." });
_logger.LogInformation("CV upload received. FileName={FileName}, Size={SizeBytes}, GdprConsent={GdprConsent}", cv.FileName, cv.Length, gdprConsent);
var result = await _service.UploadCvAsync(cv, gdprConsent, ct);
_logger.LogInformation("CV upload processed. CvDocumentId={CvDocumentId}, Cached={Cached}", result.DocumentId, result.Cached);
return Ok(result);
}
catch (InvalidOperationException ex)
{
_logger.LogWarning(ex, "Invalid CV upload request.");
return BadRequest(new { error = ex.Message });
}
}
[HttpPost("find-jobs")]
public async Task<IActionResult> FindJobs([FromBody] FindJobsRequest request, CancellationToken ct)
{
try
{
_logger.LogInformation("Find jobs request received. CvDocumentId={CvDocumentId}, TopK={TopK}", request.CvDocumentId, request.TopK);
var result = await _service.FindJobsAsync(request, ct);
_logger.LogInformation("Find jobs completed. CvDocumentId={CvDocumentId}, ResultCount={ResultCount}", request.CvDocumentId, result.Jobs.Count);
return Ok(result);
}
catch (InvalidOperationException ex)
{
_logger.LogWarning(ex, "Invalid find jobs request.");
return BadRequest(new { error = ex.Message });
}
}
[HttpPost("match-job")]
public async Task<IActionResult> MatchJob([FromBody] MatchJobRequest request, CancellationToken ct)
{
try
{
_logger.LogInformation("Match job request received. CvDocumentId={CvDocumentId}, HasJobUrl={HasJobUrl}, HasJobDescription={HasJobDescription}, EmailRequested={EmailRequested}",
request.CvDocumentId, !string.IsNullOrWhiteSpace(request.JobUrl), !string.IsNullOrWhiteSpace(request.JobDescription), !string.IsNullOrWhiteSpace(request.Email));
var result = await _service.MatchJobAsync(request, ct);
_logger.LogInformation("Match job completed. CvDocumentId={CvDocumentId}, Score={Score}, Cached={Cached}", request.CvDocumentId, result.Score, result.Cached);
return Ok(result);
}
catch (InvalidOperationException ex)
{
_logger.LogWarning(ex, "Invalid match job request.");
return BadRequest(new { error = ex.Message });
}
}
}
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IF OBJECT_ID('dbo.CvMatchResults', 'U') IS NULL
BEGIN
CREATE TABLE dbo.CvMatchResults (
Id NVARCHAR(64) NOT NULL CONSTRAINT PK_CvMatchResults PRIMARY KEY,
CvDocumentId NVARCHAR(64) NOT NULL,
JobDocumentId NVARCHAR(64) NOT NULL,
ResultJson NVARCHAR(MAX) NOT NULL,
Score INT NOT NULL,
CreatedAt DATETIME2 NOT NULL CONSTRAINT DF_CvMatchResults_CreatedAt DEFAULT SYSUTCDATETIME()
);
CREATE UNIQUE INDEX UX_CvMatchResults_CvJob ON dbo.CvMatchResults(CvDocumentId, JobDocumentId);
END
GO
IF OBJECT_ID('dbo.CvMatcherChatCache', 'U') IS NULL
BEGIN
CREATE TABLE dbo.CvMatcherChatCache (
CacheKey NVARCHAR(64) NOT NULL CONSTRAINT PK_CvMatcherChatCache PRIMARY KEY,
Model NVARCHAR(120) NOT NULL,
Temperature DECIMAL(4,2) NOT NULL,
ResponseText NVARCHAR(MAX) NOT NULL,
CreatedAt DATETIME2 NOT NULL CONSTRAINT DF_CvMatcherChatCache_CreatedAt DEFAULT SYSUTCDATETIME()
);
END
GO
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FROM mcr.microsoft.com/dotnet/aspnet:10.0 AS base
WORKDIR /app
EXPOSE 8080
FROM mcr.microsoft.com/dotnet/sdk:10.0 AS build
WORKDIR /src
COPY ["cv-matcher-api.csproj", "./"]
RUN dotnet restore "cv-matcher-api.csproj"
COPY . .
RUN dotnet publish "cv-matcher-api.csproj" -c Release -o /app/publish /p:UseAppHost=false
FROM base AS final
WORKDIR /app
COPY --from=build /app/publish .
ENTRYPOINT ["dotnet", "cv-matcher-api.dll"]
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using Azure.Identity;
using Api.Services;
using Api.Services.Contracts;
using Api.Settings;
using Microsoft.AspNetCore.Diagnostics;
using Serilog;
using System.Reflection;
DotNetEnv.Env.Load();
try
{
var builder = WebApplication.CreateBuilder(args);
var appVersion = Assembly.GetExecutingAssembly()
.GetCustomAttribute<AssemblyInformationalVersionAttribute>()?
.InformationalVersion
?? Assembly.GetExecutingAssembly().GetName().Version?.ToString()
?? "unknown";
builder.Host.UseSerilog((context, services, configuration) =>
{
configuration
.ReadFrom.Configuration(context.Configuration)
.ReadFrom.Services(services)
.Enrich.FromLogContext()
.Enrich.WithMachineName()
.Enrich.WithEnvironmentName()
.Enrich.WithProperty("Service", "cv-matcher-api")
.Enrich.WithProperty("AppVersion", appVersion)
.WriteTo.Console(new Serilog.Formatting.Json.JsonFormatter());
});
Log.Information("Starting {Service} version {AppVersion}", "cv-matcher-api", appVersion);
// --------------------
// Azure Key Vault Configuration
// --------------------
var keyVaultUri = builder.Configuration["KeyVault:VaultUri"];
var keyVaultEnabled = builder.Configuration.GetValue<bool>("KeyVault:Enabled");
if (keyVaultEnabled && !string.IsNullOrWhiteSpace(keyVaultUri))
{
Log.Information("Loading configuration from Azure Key Vault: {VaultUri}", keyVaultUri);
try
{
builder.Configuration.AddAzureKeyVault(
new Uri(keyVaultUri),
new DefaultAzureCredential());
Log.Information("Azure Key Vault configuration loaded successfully");
}
catch (Exception ex)
{
Log.Warning(ex, "Failed to load Azure Key Vault configuration. Continuing with other configuration sources.");
}
}
else
{
Log.Information("Azure Key Vault is disabled or not configured");
}
builder.Services.Configure<RagApiSettings>(builder.Configuration.GetSection("RagApi"));
builder.Services.Configure<InternalApiSettings>(builder.Configuration.GetSection("InternalApi"));
builder.Services.Configure<AiSettings>(builder.Configuration.GetSection("Ai"));
builder.Services.Configure<MatcherSettings>(builder.Configuration.GetSection("Matcher"));
builder.Services.Configure<SmtpSettings>(builder.Configuration.GetSection("Smtp"));
builder.Services.AddHttpClient<IRagApiClient, RagApiClient>();
builder.Services.AddHttpClient<IMatcherAiClient, MatcherAiClient>();
builder.Services.AddHttpClient<IJobTextExtractor, JobTextExtractor>();
builder.Services.AddSingleton<IMatcherRepository, SqlMatcherRepository>();
builder.Services.AddScoped<ICvMatcherService, CvMatcherService>();
builder.Services.AddSingleton<IEmailService, EmailService>();
builder.Services.AddControllers();
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen();
var app = builder.Build();
var logger = app.Services.GetRequiredService<ILogger<Program>>();
logger.LogInformation("API starting up...");
logger.LogInformation("Environment: {Environment}", app.Environment.EnvironmentName);
// Log all environment variables and configuration settings at startup
// Can be controlled via appsettings: "Logging:LogEnvironmentOnStartup": true
var logEnvironmentOnStartup = app.Configuration.GetValue<bool>("Logging:LogEnvironmentOnStartup", defaultValue: true);
if (logEnvironmentOnStartup)
{
LogEnvironmentSettings(logger, app.Configuration, app.Environment);
}
using (var scope = app.Services.CreateScope())
{
var repository = scope.ServiceProvider.GetRequiredService<IMatcherRepository>();
await repository.InitializeAsync(CancellationToken.None);
}
app.UseSerilogRequestLogging(options =>
{
options.MessageTemplate = "HTTP {RequestMethod} {RequestPath} responded {StatusCode} in {Elapsed:0.0000} ms";
options.EnrichDiagnosticContext = (diagnosticContext, httpContext) =>
{
diagnosticContext.Set("RequestHost", httpContext.Request.Host.Value);
diagnosticContext.Set("RequestScheme", httpContext.Request.Scheme);
diagnosticContext.Set("RemoteIP", httpContext.Connection.RemoteIpAddress?.ToString());
diagnosticContext.Set("UserAgent", httpContext.Request.Headers.UserAgent.ToString());
};
});
app.UseExceptionHandler(errorApp =>
{
errorApp.Run(async context =>
{
var feature = context.Features.Get<IExceptionHandlerFeature>();
var logger = context.RequestServices.GetRequiredService<ILogger<Program>>();
if (feature?.Error is not null)
{
logger.LogError(feature.Error, "Unhandled exception in {Service}", "cv-matcher-api");
}
context.Response.StatusCode = StatusCodes.Status500InternalServerError;
context.Response.ContentType = "application/json";
await context.Response.WriteAsJsonAsync(new { error = "Unexpected server error." });
});
});
app.Use(async (context, next) =>
{
var settings = context.RequestServices.GetRequiredService<Microsoft.Extensions.Options.IOptions<InternalApiSettings>>().Value;
if (settings.RequireApiKey)
{
var header = context.Request.Headers["X-Internal-Api-Key"].ToString();
if (string.IsNullOrWhiteSpace(settings.ApiKey) || header != settings.ApiKey)
{
var logger = context.RequestServices.GetRequiredService<ILogger<Program>>();
logger.LogWarning("Rejected unauthorized internal API call. Path={Path}, RemoteIP={RemoteIP}", context.Request.Path, context.Connection.RemoteIpAddress?.ToString());
context.Response.StatusCode = StatusCodes.Status401Unauthorized;
await context.Response.WriteAsJsonAsync(new { error = "Unauthorized internal API call." });
return;
}
}
await next();
});
// Swagger (typically only in Development)
if (app.Environment.IsDevelopment())
{
app.UseSwagger();
app.UseSwaggerUI(options =>
{
options.DocumentTitle = "cv-matcher-api";
options.SwaggerEndpoint("/swagger/v1/swagger.json", "cv-matcher-api v1");
options.RoutePrefix = "swagger";
});
}
app.MapControllers();
app.MapGet("/health", () => Results.Ok(new { status = "ok", service = "cv-matcher-api", version = appVersion, timeUtc = DateTimeOffset.UtcNow }));
Log.Information("{Service} startup complete", "cv-matcher-api");
app.Run();
}
catch (Exception ex)
{
Log.Fatal(ex, "cv-matcher-api terminated unexpectedly");
}
finally
{
Log.Information("Shutting down cv-matcher-api");
Log.CloseAndFlush();
}
/// <summary>
/// Logs all environment variables and configuration settings at startup for diagnostics.
/// </summary>
static void LogEnvironmentSettings(Microsoft.Extensions.Logging.ILogger logger, IConfiguration configuration, IWebHostEnvironment environment)
{
logger.LogInformation("==================== ENVIRONMENT SETTINGS ====================");
// Environment Information
logger.LogInformation("Application Name: {ApplicationName}", environment.ApplicationName);
logger.LogInformation("Environment Name: {EnvironmentName}", environment.EnvironmentName);
logger.LogInformation("Content Root Path: {ContentRootPath}", environment.ContentRootPath);
logger.LogInformation("Web Root Path: {WebRootPath}", environment.WebRootPath);
// Environment Variables
logger.LogInformation("-------------- Environment Variables --------------");
var envVars = Environment.GetEnvironmentVariables();
var sortedEnvVars = new SortedDictionary<string, string?>();
foreach (System.Collections.DictionaryEntry entry in envVars)
{
var key = entry.Key?.ToString() ?? string.Empty;
var value = entry.Value?.ToString() ?? string.Empty;
// Mask sensitive values (passwords, secrets, tokens, keys) but show last 4 characters
if (IsSensitiveKey(key))
{
value = MaskValueWithLastChars(value);
}
sortedEnvVars[key] = value;
}
foreach (var kvp in sortedEnvVars)
{
logger.LogInformation(" {Key} = {Value}", kvp.Key, kvp.Value);
}
// Configuration Settings
logger.LogInformation("-------------- Configuration Settings --------------");
LogConfigurationRecursive(logger, configuration.GetChildren(), "");
logger.LogInformation("===========================================================");
}
/// <summary>
/// Recursively logs configuration settings with hierarchy.
/// </summary>
static void LogConfigurationRecursive(Microsoft.Extensions.Logging.ILogger logger, IEnumerable<IConfigurationSection> sections, string prefix)
{
foreach (var section in sections)
{
var key = string.IsNullOrEmpty(prefix) ? section.Key : $"{prefix}:{section.Key}";
if (section.Value != null)
{
var value = section.Value;
// Mask sensitive configuration values but show last 4 characters
if (IsSensitiveKey(key))
{
value = MaskValueWithLastChars(value);
}
logger.LogInformation(" {Key} = {Value}", key, value);
}
// Recurse into child sections
if (section.GetChildren().Any())
{
LogConfigurationRecursive(logger, section.GetChildren(), key);
}
}
}
/// <summary>
/// Checks if a configuration key contains sensitive information.
/// </summary>
static bool IsSensitiveKey(string key)
{
return key.Contains("Password", StringComparison.OrdinalIgnoreCase) ||
key.Contains("Secret", StringComparison.OrdinalIgnoreCase) ||
key.Contains("Token", StringComparison.OrdinalIgnoreCase) ||
key.Contains("Key", StringComparison.OrdinalIgnoreCase) ||
key.Contains("ConnectionString", StringComparison.OrdinalIgnoreCase);
}
/// <summary>
/// Masks a sensitive value but shows the last 4 characters for verification.
/// </summary>
/// <param name="value">The value to mask.</param>
/// <returns>Masked value showing last 4 characters (e.g., "***MASKED***...abcd")</returns>
static string MaskValueWithLastChars(string value)
{
if (string.IsNullOrEmpty(value))
{
return "***NOT SET***";
}
// If value is too short, just mask it completely
if (value.Length <= 4)
{
return "***MASKED***";
}
// Show last 4 characters
var lastChars = value.Substring(value.Length - 4);
return $"***MASKED***...{lastChars}";
}
@@ -0,0 +1,12 @@
{
"profiles": {
"cv-matcher-api": {
"commandName": "Project",
"launchBrowser": true,
"environmentVariables": {
"ASPNETCORE_ENVIRONMENT": "Development"
},
"applicationUrl": "https://localhost:58423;http://localhost:58425"
}
}
}
@@ -0,0 +1,9 @@
namespace Api.Requests
{
public sealed class FindJobsRequest
{
public required string CvDocumentId { get; init; }
public int? TopK { get; init; }
public string? Email { get; init; }
}
}
@@ -0,0 +1,11 @@
namespace Api.Requests
{
public sealed class MatchJobRequest
{
public string? CvDocumentId { get; set; }
public string? JobUrl { get; set; }
public string? JobDescription { get; set; }
public bool GdprConsent { get; set; }
public string? Email { get; set; }
}
}
@@ -0,0 +1,9 @@
namespace Api.Requests
{
public sealed class RagSearchRequest
{
public required string QueryText { get; init; }
public IReadOnlyList<string>? TargetDocumentTypes { get; init; }
public int? TopK { get; init; }
}
}
@@ -0,0 +1,14 @@
namespace Api.Responses
{
public sealed class CvUploadResponse
{
public required string DocumentId { get; init; }
public required string TextHash { get; init; }
public required string DocumentType { get; init; }
public required string Title { get; init; }
public int Chunks { get; init; }
public int Characters { get; init; }
public bool Cached { get; init; }
public string Summary { get; init; } = "CV indexed successfully.";
}
}
@@ -0,0 +1,8 @@
namespace Api.Responses
{
public sealed class FindJobsResponse
{
public required string CvDocumentId { get; init; }
public IReadOnlyList<JobMatchResponse> Jobs { get; init; } = [];
}
}
@@ -0,0 +1,15 @@
namespace Api.Responses
{
public sealed class JobMatchResponse
{
public int Score { get; set; }
public string Summary { get; set; } = string.Empty;
public List<string> Strengths { get; set; } = [];
public List<string> Gaps { get; set; } = [];
public List<string> Recommendations { get; set; } = [];
public List<string> Evidence { get; set; } = [];
public bool Cached { get; set; }
public string? JobDocumentId { get; set; }
public string? JobUrl { get; set; }
}
}
@@ -0,0 +1,14 @@
namespace Api.Responses
{
public sealed class RagIndexResponse
{
public required string DocumentId { get; init; }
public required string TextHash { get; init; }
public required string DocumentType { get; init; }
public double DocumentTypeConfidence { get; init; }
public required string Title { get; init; }
public int Chunks { get; init; }
public int Characters { get; init; }
public bool Cached { get; init; }
}
}
@@ -0,0 +1,34 @@
namespace Api.Responses
{
public sealed class RagSearchResponse
{
public IReadOnlyList<RagSearchDocumentResult> Results { get; init; } = [];
}
public sealed class RagDocumentDetails
{
public required string Id { get; init; }
public required string DocumentType { get; init; }
public required string Title { get; init; }
public string? SourceUrl { get; init; }
public required string Text { get; init; }
public required string TextHash { get; init; }
}
public sealed class RagSearchDocumentResult
{
public required string DocumentId { get; init; }
public required string DocumentType { get; init; }
public required string Title { get; init; }
public string? SourceUrl { get; init; }
public double Score { get; init; }
public IReadOnlyList<RagSearchChunkResult> MatchedChunks { get; init; } = [];
}
public sealed class RagSearchChunkResult
{
public required string ChunkId { get; init; }
public int ChunkIndex { get; init; }
public required string Text { get; init; }
public double Score { get; init; }
}
}
@@ -0,0 +1,11 @@
using Api.Requests;
using Api.Responses;
namespace Api.Services.Contracts;
public interface ICvMatcherService
{
Task<CvUploadResponse> UploadCvAsync(IFormFile file, bool gdprConsent, CancellationToken ct);
Task<JobMatchResponse> MatchJobAsync(MatchJobRequest request, CancellationToken ct);
Task<FindJobsResponse> FindJobsAsync(FindJobsRequest request, CancellationToken ct);
}
@@ -0,0 +1,6 @@
namespace Api.Services.Contracts;
public interface IEmailService
{
Task SendMatchAsync(string? explicitTo, string subject, string body, CancellationToken ct);
}
@@ -0,0 +1,6 @@
namespace Api.Services.Contracts;
public interface IJobTextExtractor
{
Task<string> ExtractAsync(string? jobUrl, string? jobDescription, CancellationToken ct);
}
@@ -0,0 +1,6 @@
namespace Api.Services.Contracts;
public interface IMatcherAiClient
{
Task<string> CreateChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct);
}
@@ -0,0 +1,12 @@
using Api.Responses;
namespace Api.Services.Contracts;
public interface IMatcherRepository
{
Task InitializeAsync(CancellationToken ct);
Task<JobMatchResponse?> GetMatchAsync(string cvDocumentId, string jobDocumentId, CancellationToken ct);
Task SaveMatchAsync(string cvDocumentId, string jobDocumentId, JobMatchResponse response, CancellationToken ct);
Task<string?> GetChatCompletionAsync(string cacheKey, CancellationToken ct);
Task SaveChatCompletionAsync(string cacheKey, string model, decimal temperature, string responseText, CancellationToken ct);
}
@@ -0,0 +1,12 @@
using Api.Requests;
using Api.Responses;
namespace Api.Services.Contracts;
public interface IRagApiClient
{
Task<RagIndexResponse> IndexCvPdfAsync(IFormFile file, CancellationToken ct);
Task<RagIndexResponse> IndexJobTextAsync(string text, string? url, string? title, CancellationToken ct);
Task<RagDocumentDetails?> GetDocumentAsync(string documentId, CancellationToken ct);
Task<RagSearchResponse> SearchAsync(RagSearchRequest request, CancellationToken ct);
}
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using System.Text.Json;
using Api.Requests;
using Api.Responses;
using Api.Services.Contracts;
using Api.Settings;
using Microsoft.Extensions.Options;
namespace Api.Services;
public sealed class CvMatcherService : ICvMatcherService
{
private readonly IRagApiClient _rag;
private readonly IJobTextExtractor _jobTextExtractor;
private readonly IMatcherAiClient _ai;
private readonly IMatcherRepository _repository;
private readonly IEmailService _email;
private readonly MatcherSettings _settings;
public CvMatcherService(
IRagApiClient rag,
IJobTextExtractor jobTextExtractor,
IMatcherAiClient ai,
IMatcherRepository repository,
IEmailService email,
IOptions<MatcherSettings> options)
{
_rag = rag;
_jobTextExtractor = jobTextExtractor;
_ai = ai;
_repository = repository;
_email = email;
_settings = options.Value;
}
public async Task<CvUploadResponse> UploadCvAsync(IFormFile file, bool gdprConsent, CancellationToken ct)
{
if (!gdprConsent) throw new InvalidOperationException("GDPR consent is required.");
var response = await _rag.IndexCvPdfAsync(file, ct);
return new CvUploadResponse
{
DocumentId = response.DocumentId,
TextHash = response.TextHash,
DocumentType = response.DocumentType,
Title = response.Title,
Chunks = response.Chunks,
Characters = response.Characters,
Cached = response.Cached,
Summary = response.Cached ? "CV already indexed. Cached data reused." : "CV indexed successfully."
};
}
public async Task<FindJobsResponse> FindJobsAsync(FindJobsRequest request, CancellationToken ct)
{
var cv = await _rag.GetDocumentAsync(request.CvDocumentId, ct) ?? throw new InvalidOperationException("CV document not found.");
if (!string.Equals(cv.DocumentType, "cv", StringComparison.OrdinalIgnoreCase))
{
throw new InvalidOperationException("The provided document is not a CV.");
}
var search = await _rag.SearchAsync(new RagSearchRequest
{
QueryText = BuildCvSearchProfile(cv.Text),
TargetDocumentTypes = ["job"],
TopK = request.TopK ?? _settings.TopK
}, ct);
var deepScoreLimit = Math.Clamp(_settings.DeepScoreTopN, 1, 10);
var jobs = new List<JobMatchResponse>();
foreach (var result in search.Results.Take(deepScoreLimit))
{
var job = await _rag.GetDocumentAsync(result.DocumentId, ct);
if (job is null) continue;
jobs.Add(await ScorePairAsync(cv, job, result.MatchedChunks.Select(x => x.Text).ToArray(), request.Email, ct));
}
return new FindJobsResponse { CvDocumentId = request.CvDocumentId, Jobs = jobs };
}
public async Task<JobMatchResponse> MatchJobAsync(MatchJobRequest request, CancellationToken ct)
{
if (!request.GdprConsent) throw new InvalidOperationException("GDPR consent is required.");
if (string.IsNullOrWhiteSpace(request.CvDocumentId)) throw new InvalidOperationException("Missing CV document id.");
var cv = await _rag.GetDocumentAsync(request.CvDocumentId, ct) ?? throw new InvalidOperationException("CV document not found.");
var jobText = await _jobTextExtractor.ExtractAsync(request.JobUrl, request.JobDescription, ct);
if (jobText.Length < 80) throw new InvalidOperationException("Could not extract enough job text. Paste the job description manually.");
var job = await _rag.IndexJobTextAsync(jobText, request.JobUrl, ExtractJobTitle(jobText), ct);
var jobDocument = await _rag.GetDocumentAsync(job.DocumentId, ct) ?? throw new InvalidOperationException("Indexed job document not found.");
var search = await _rag.SearchAsync(new RagSearchRequest
{
QueryText = BuildCvSearchProfile(cv.Text),
TargetDocumentTypes = ["job"],
TopK = Math.Max(5, _settings.TopK)
}, ct);
var matchedChunks = search.Results
.FirstOrDefault(x => x.DocumentId == job.DocumentId)?
.MatchedChunks.Select(x => x.Text).ToArray() ?? [];
return await ScorePairAsync(cv, jobDocument, matchedChunks, request.Email, ct);
}
private async Task<JobMatchResponse> ScorePairAsync(RagDocumentDetails cv, RagDocumentDetails job, IReadOnlyList<string> evidenceChunks, string? email, CancellationToken ct)
{
var cached = await _repository.GetMatchAsync(cv.Id, job.Id, ct);
if (cached is not null) return cached;
var cvText = Limit(cv.Text, 18000);
var jobText = Limit(job.Text, 14000);
var evidence = evidenceChunks.Count > 0 ? string.Join("\n\n", evidenceChunks.Take(4)) : Limit(job.Text, 4000);
const string systemPrompt = """
You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100.
Penalize missing required skills. Do not invent experience. Use concise business language.
JSON shape: {"score":number,"summary":"...","strengths":["..."],"gaps":["..."],"recommendations":["..."],"evidence":["..."]}
""";
var userPrompt = $"""
CV:
{cvText}
JOB:
{jobText}
SEMANTICALLY MATCHED JOB EVIDENCE:
{evidence}
""";
var json = await _ai.CreateChatCompletionAsync(systemPrompt, userPrompt, 0.2m, ct);
var result = ParseResult(json);
result.JobDocumentId = job.Id;
result.JobUrl = job.SourceUrl;
result.Cached = false;
await _repository.SaveMatchAsync(cv.Id, job.Id, result, ct);
await _email.SendMatchAsync(
email,
$"MyAi.ro CV Match: {result.Score}% - {job.Title}",
BuildEmailBody(cv, job, result),
ct);
return result;
}
private static JobMatchResponse ParseResult(string json)
{
try
{
var parsed = JsonSerializer.Deserialize<JobMatchResponse>(json, new JsonSerializerOptions(JsonSerializerDefaults.Web));
if (parsed is not null) return parsed;
}
catch
{
// Fall through to safe response.
}
return new JobMatchResponse
{
Score = 0,
Summary = "The AI response could not be parsed as structured JSON.",
Recommendations = ["Inspect the raw model output and tune the scoring prompt."]
};
}
private static string BuildCvSearchProfile(string cvText)
{
var text = Limit(cvText, 10000);
return $"Candidate profile, skills, technologies, seniority, industry experience, project experience: {text}";
}
private static string ExtractJobTitle(string jobText)
{
var first = jobText.Split('.', '\n', '\r').Select(x => x.Trim()).FirstOrDefault(x => x.Length is > 8 and < 140);
return first ?? "Job description";
}
private static string Limit(string value, int max) => value.Length <= max ? value : value[..max];
private static string BuildEmailBody(RagDocumentDetails cv, RagDocumentDetails job, JobMatchResponse result) => $"""
CV Matcher result
CV: {cv.Title}
Job: {job.Title}
Job URL: {job.SourceUrl ?? "N/A"}
Score: {result.Score}%
Summary:
{result.Summary}
Strengths:
- {string.Join("\n- ", result.Strengths)}
Gaps:
- {string.Join("\n- ", result.Gaps)}
Recommendations:
- {string.Join("\n- ", result.Recommendations)}
""";
}
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using Api.Services.Contracts;
using Api.Settings;
using MailKit.Net.Smtp;
using MailKit.Security;
using Microsoft.Extensions.Options;
using MimeKit;
namespace Api.Services;
public sealed class EmailService : IEmailService
{
private readonly SmtpSettings _settings;
private readonly ILogger<EmailService> _logger;
public EmailService(IOptions<SmtpSettings> options, ILogger<EmailService> logger)
{
_settings = options.Value;
_logger = logger;
}
public async Task SendMatchAsync(string? explicitTo, string subject, string body, CancellationToken ct)
{
var to = !string.IsNullOrWhiteSpace(explicitTo) ? explicitTo : _settings.ToEmail;
if (string.IsNullOrWhiteSpace(_settings.Host) || string.IsNullOrWhiteSpace(to))
{
_logger.LogInformation("SMTP is not configured. Skipping CV matcher email.");
return;
}
var message = new MimeMessage();
message.From.Add(MailboxAddress.Parse(_settings.FromEmail));
message.To.Add(MailboxAddress.Parse(to));
message.Subject = subject;
message.Body = new TextPart("plain") { Text = body };
using var client = new SmtpClient();
var secureSocket = _settings.UseStartTls ? SecureSocketOptions.StartTls : SecureSocketOptions.Auto;
await client.ConnectAsync(_settings.Host, _settings.Port, secureSocket, ct);
if (!string.IsNullOrWhiteSpace(_settings.Username))
{
await client.AuthenticateAsync(_settings.Username, _settings.Password, ct);
}
await client.SendAsync(message, ct);
await client.DisconnectAsync(true, ct);
}
}
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using System.Security.Cryptography;
using System.Text;
namespace Api.Services;
public static class HashHelper
{
public static string Compute(string value)
{
using var sha = SHA256.Create();
return Convert.ToHexString(sha.ComputeHash(Encoding.UTF8.GetBytes(value ?? string.Empty)));
}
}
@@ -0,0 +1,51 @@
using System.Net;
using System.Text.RegularExpressions;
using Api.Services.Contracts;
using Api.Settings;
using Microsoft.Extensions.Options;
namespace Api.Services;
public sealed class JobTextExtractor : IJobTextExtractor
{
private readonly HttpClient _http;
private readonly MatcherSettings _settings;
public JobTextExtractor(HttpClient http, IOptions<MatcherSettings> options)
{
_http = http;
_settings = options.Value;
_http.Timeout = TimeSpan.FromSeconds(25);
_http.DefaultRequestHeaders.UserAgent.ParseAdd("MyAi.ro CV Matcher/1.0");
}
public async Task<string> ExtractAsync(string? jobUrl, string? jobDescription, CancellationToken ct)
{
var pasted = Normalize(jobDescription ?? string.Empty);
if (!string.IsNullOrWhiteSpace(pasted)) return Limit(pasted);
if (string.IsNullOrWhiteSpace(jobUrl)) return string.Empty;
if (!Uri.TryCreate(jobUrl, UriKind.Absolute, out var uri) || uri.Scheme is not ("http" or "https"))
{
throw new InvalidOperationException("Invalid job URL.");
}
var html = await _http.GetStringAsync(uri, ct);
html = Regex.Replace(html, "<script[\\s\\S]*?</script>", " ", RegexOptions.IgnoreCase);
html = Regex.Replace(html, "<style[\\s\\S]*?</style>", " ", RegexOptions.IgnoreCase);
html = Regex.Replace(html, "<[^>]+>", " ");
return Limit(Normalize(WebUtility.HtmlDecode(html)));
}
private string Limit(string value)
{
var max = Math.Max(4000, _settings.MaxJobTextChars);
return value.Length <= max ? value : value[..max];
}
private static string Normalize(string value)
{
if (string.IsNullOrWhiteSpace(value)) return string.Empty;
return string.Join(' ', value.Split((char[]?)null, StringSplitOptions.RemoveEmptyEntries)).Trim();
}
}
@@ -0,0 +1,95 @@
using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;
using System.Text.Json.Serialization;
using Api.Services.Contracts;
using Api.Settings;
using Microsoft.Extensions.Options;
namespace Api.Services;
public sealed class MatcherAiClient : IMatcherAiClient
{
private readonly HttpClient _http;
private readonly IMatcherRepository _repository;
private readonly AiSettings _settings;
private static readonly JsonSerializerOptions JsonOptions = new(JsonSerializerDefaults.Web)
{
DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull
};
public MatcherAiClient(HttpClient http, IMatcherRepository repository, IOptions<AiSettings> options)
{
_http = http;
_repository = repository;
_settings = options.Value;
}
public async Task<string> CreateChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
{
var model = GetModel();
var cacheKey = HashHelper.Compute($"chat:{_settings.Provider}:{model}:{temperature:0.00}:{systemPrompt}:{userPrompt}");
var cached = await _repository.GetChatCompletionAsync(cacheKey, ct);
if (cached is not null) return cached;
var response = IsOllama()
? await CreateOllamaChatCompletionAsync(systemPrompt, userPrompt, temperature, ct)
: await CreateOpenAiChatCompletionAsync(systemPrompt, userPrompt, temperature, ct);
await _repository.SaveChatCompletionAsync(cacheKey, model, temperature, response, ct);
return response;
}
private bool IsOllama() => string.Equals(_settings.Provider, "Ollama", StringComparison.OrdinalIgnoreCase);
private string GetModel() => IsOllama() ? _settings.Ollama.ChatModel : _settings.OpenAI.ChatModel;
private async Task<string> CreateOpenAiChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
{
if (string.IsNullOrWhiteSpace(_settings.OpenAI.ApiKey)) throw new InvalidOperationException("OpenAI API key is missing.");
using var request = new HttpRequestMessage(HttpMethod.Post, "https://api.openai.com/v1/chat/completions");
request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", _settings.OpenAI.ApiKey);
request.Content = ToJson(new
{
model = _settings.OpenAI.ChatModel,
temperature,
response_format = new { type = "json_object" },
messages = new[]
{
new { role = "system", content = systemPrompt },
new { role = "user", content = userPrompt }
}
});
using var cts = CancellationTokenSource.CreateLinkedTokenSource(ct);
cts.CancelAfter(TimeSpan.FromSeconds(Math.Max(15, _settings.OpenAI.TimeoutSeconds)));
using var response = await _http.SendAsync(request, cts.Token);
var json = await response.Content.ReadAsStringAsync(cts.Token);
if (!response.IsSuccessStatusCode) throw new InvalidOperationException($"OpenAI chat failed: {(int)response.StatusCode} {json}");
using var doc = JsonDocument.Parse(json);
return doc.RootElement.GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString() ?? "{}";
}
private async Task<string> CreateOllamaChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
{
var baseUrl = _settings.Ollama.BaseUrl.TrimEnd('/');
using var cts = CancellationTokenSource.CreateLinkedTokenSource(ct);
cts.CancelAfter(TimeSpan.FromSeconds(Math.Max(30, _settings.Ollama.TimeoutSeconds)));
using var response = await _http.PostAsync($"{baseUrl}/api/chat", ToJson(new
{
model = _settings.Ollama.ChatModel,
stream = false,
format = "json",
messages = new[]
{
new { role = "system", content = systemPrompt },
new { role = "user", content = userPrompt }
},
options = new { temperature = (float)temperature }
}), cts.Token);
var json = await response.Content.ReadAsStringAsync(cts.Token);
if (!response.IsSuccessStatusCode) throw new InvalidOperationException($"Ollama chat failed: {(int)response.StatusCode} {json}");
using var doc = JsonDocument.Parse(json);
return doc.RootElement.GetProperty("message").GetProperty("content").GetString() ?? "{}";
}
private static StringContent ToJson<T>(T payload) => new(JsonSerializer.Serialize(payload, JsonOptions), Encoding.UTF8, "application/json");
}
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using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;
using Api.Requests;
using Api.Responses;
using Api.Services.Contracts;
using Api.Settings;
using Microsoft.Extensions.Options;
namespace Api.Services;
public sealed class RagApiClient : IRagApiClient
{
private readonly HttpClient _http;
private readonly RagApiSettings _settings;
private static readonly JsonSerializerOptions JsonOptions = new(JsonSerializerDefaults.Web);
public RagApiClient(HttpClient http, IOptions<RagApiSettings> options)
{
_http = http;
_settings = options.Value;
_http.BaseAddress = new Uri(_settings.BaseUrl.TrimEnd('/') + "/");
if (!string.IsNullOrWhiteSpace(_settings.InternalApiKey))
{
_http.DefaultRequestHeaders.Add("X-Internal-Api-Key", _settings.InternalApiKey);
}
}
public async Task<RagIndexResponse> IndexCvPdfAsync(IFormFile file, CancellationToken ct)
{
using var content = new MultipartFormDataContent();
await using var stream = file.OpenReadStream();
using var fileContent = new StreamContent(stream);
fileContent.Headers.ContentType = new MediaTypeHeaderValue("application/pdf");
content.Add(fileContent, "file", file.FileName);
content.Add(new StringContent("cv"), "documentType");
content.Add(new StringContent(file.FileName), "title");
using var response = await _http.PostAsync("api/rag/documents", content, ct);
return await ReadJsonAsync<RagIndexResponse>(response, ct);
}
public async Task<RagIndexResponse> IndexJobTextAsync(string text, string? url, string? title, CancellationToken ct)
{
using var content = new MultipartFormDataContent
{
{ new StringContent(text), "text" },
{ new StringContent("job"), "documentType" },
{ new StringContent(title ?? "Job description"), "title" }
};
if (!string.IsNullOrWhiteSpace(url)) content.Add(new StringContent(url), "sourceUrl");
using var response = await _http.PostAsync("api/rag/documents", content, ct);
return await ReadJsonAsync<RagIndexResponse>(response, ct);
}
public async Task<RagDocumentDetails?> GetDocumentAsync(string documentId, CancellationToken ct)
{
using var response = await _http.GetAsync($"api/rag/documents/{Uri.EscapeDataString(documentId)}", ct);
if (response.StatusCode == System.Net.HttpStatusCode.NotFound) return null;
return await ReadJsonAsync<RagDocumentDetails>(response, ct);
}
public async Task<RagSearchResponse> SearchAsync(RagSearchRequest request, CancellationToken ct)
{
using var response = await _http.PostAsync(
"api/rag/search",
new StringContent(JsonSerializer.Serialize(request, JsonOptions), Encoding.UTF8, "application/json"),
ct);
return await ReadJsonAsync<RagSearchResponse>(response, ct);
}
private static async Task<T> ReadJsonAsync<T>(HttpResponseMessage response, CancellationToken ct)
{
var json = await response.Content.ReadAsStringAsync(ct);
if (!response.IsSuccessStatusCode)
{
throw new InvalidOperationException($"RAG API failed: {(int)response.StatusCode} {json}");
}
return JsonSerializer.Deserialize<T>(json, JsonOptions) ?? throw new InvalidOperationException("RAG API returned invalid JSON.");
}
}
@@ -0,0 +1,105 @@
using System.Text.Json;
using Api.Responses;
using Api.Services.Contracts;
using Microsoft.Data.SqlClient;
namespace Api.Services;
public sealed class SqlMatcherRepository : IMatcherRepository
{
private readonly string _connectionString;
public SqlMatcherRepository(IConfiguration configuration)
{
_connectionString = configuration.GetConnectionString("CvMatcherDb")
?? throw new InvalidOperationException("Connection string 'CvMatcherDb' is missing.");
}
public async Task InitializeAsync(CancellationToken ct)
{
await EnsureDatabaseExistsAsync(ct);
var sql = await File.ReadAllTextAsync(Path.Combine(AppContext.BaseDirectory, "Database", "schema.sql"), ct);
await using var connection = new SqlConnection(_connectionString);
await connection.OpenAsync(ct);
foreach (var commandText in sql.Split("GO", StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries))
{
await using var command = new SqlCommand(commandText, connection);
await command.ExecuteNonQueryAsync(ct);
}
}
public async Task<JobMatchResponse?> GetMatchAsync(string cvDocumentId, string jobDocumentId, CancellationToken ct)
{
const string sql = "SELECT ResultJson FROM CvMatchResults WHERE CvDocumentId = @CvDocumentId AND JobDocumentId = @JobDocumentId";
await using var connection = new SqlConnection(_connectionString);
await connection.OpenAsync(ct);
await using var command = new SqlCommand(sql, connection);
command.Parameters.AddWithValue("@CvDocumentId", cvDocumentId);
command.Parameters.AddWithValue("@JobDocumentId", jobDocumentId);
var json = await command.ExecuteScalarAsync(ct) as string;
if (string.IsNullOrWhiteSpace(json)) return null;
var result = JsonSerializer.Deserialize<JobMatchResponse>(json, new JsonSerializerOptions(JsonSerializerDefaults.Web));
if (result is not null) result.Cached = true;
return result;
}
public async Task SaveMatchAsync(string cvDocumentId, string jobDocumentId, JobMatchResponse response, CancellationToken ct)
{
const string sql = """
IF NOT EXISTS (SELECT 1 FROM CvMatchResults WHERE CvDocumentId = @CvDocumentId AND JobDocumentId = @JobDocumentId)
INSERT INTO CvMatchResults (Id, CvDocumentId, JobDocumentId, ResultJson, Score, CreatedAt)
VALUES (@Id, @CvDocumentId, @JobDocumentId, @ResultJson, @Score, SYSUTCDATETIME())
""";
await using var connection = new SqlConnection(_connectionString);
await connection.OpenAsync(ct);
await using var command = new SqlCommand(sql, connection);
command.Parameters.AddWithValue("@Id", Guid.NewGuid().ToString("N"));
command.Parameters.AddWithValue("@CvDocumentId", cvDocumentId);
command.Parameters.AddWithValue("@JobDocumentId", jobDocumentId);
command.Parameters.AddWithValue("@ResultJson", JsonSerializer.Serialize(response, new JsonSerializerOptions(JsonSerializerDefaults.Web)));
command.Parameters.AddWithValue("@Score", response.Score);
await command.ExecuteNonQueryAsync(ct);
}
public async Task<string?> GetChatCompletionAsync(string cacheKey, CancellationToken ct)
{
const string sql = "SELECT ResponseText FROM CvMatcherChatCache WHERE CacheKey = @CacheKey";
await using var connection = new SqlConnection(_connectionString);
await connection.OpenAsync(ct);
await using var command = new SqlCommand(sql, connection);
command.Parameters.AddWithValue("@CacheKey", cacheKey);
return await command.ExecuteScalarAsync(ct) as string;
}
public async Task SaveChatCompletionAsync(string cacheKey, string model, decimal temperature, string responseText, CancellationToken ct)
{
const string sql = """
IF NOT EXISTS (SELECT 1 FROM CvMatcherChatCache WHERE CacheKey = @CacheKey)
INSERT INTO CvMatcherChatCache (CacheKey, Model, Temperature, ResponseText, CreatedAt)
VALUES (@CacheKey, @Model, @Temperature, @ResponseText, SYSUTCDATETIME())
""";
await using var connection = new SqlConnection(_connectionString);
await connection.OpenAsync(ct);
await using var command = new SqlCommand(sql, connection);
command.Parameters.AddWithValue("@CacheKey", cacheKey);
command.Parameters.AddWithValue("@Model", model);
command.Parameters.AddWithValue("@Temperature", temperature);
command.Parameters.AddWithValue("@ResponseText", responseText);
await command.ExecuteNonQueryAsync(ct);
}
private async Task EnsureDatabaseExistsAsync(CancellationToken ct)
{
var builder = new SqlConnectionStringBuilder(_connectionString);
var databaseName = builder.InitialCatalog;
if (string.IsNullOrWhiteSpace(databaseName)) return;
builder.InitialCatalog = "master";
await using var connection = new SqlConnection(builder.ConnectionString);
await connection.OpenAsync(ct);
var safeName = databaseName.Replace("]", "]]" );
await using var command = new SqlCommand($"IF DB_ID(@DatabaseName) IS NULL EXEC('CREATE DATABASE [{safeName}]')", connection);
command.Parameters.AddWithValue("@DatabaseName", databaseName);
await command.ExecuteNonQueryAsync(ct);
}
}
+52
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namespace Api.Settings;
public sealed class RagApiSettings
{
public string BaseUrl { get; set; } = "http://localhost:8081";
public string InternalApiKey { get; set; } = string.Empty;
}
public sealed class InternalApiSettings
{
public string ApiKey { get; set; } = string.Empty;
public bool RequireApiKey { get; set; } = false;
}
public sealed class AiSettings
{
public string Provider { get; set; } = "OpenAI";
public OpenAiSettings OpenAI { get; set; } = new();
public OllamaSettings Ollama { get; set; } = new();
}
public sealed class OpenAiSettings
{
public string ApiKey { get; set; } = string.Empty;
public string ChatModel { get; set; } = "gpt-4o-mini";
public int TimeoutSeconds { get; set; } = 90;
}
public sealed class OllamaSettings
{
public string BaseUrl { get; set; } = "http://localhost:11434";
public string ChatModel { get; set; } = "llama3.1:8b";
public int TimeoutSeconds { get; set; } = 180;
}
public sealed class MatcherSettings
{
public int TopK { get; set; } = 10;
public int DeepScoreTopN { get; set; } = 5;
public int MaxJobTextChars { get; set; } = 60000;
}
public sealed class SmtpSettings
{
public string Host { get; set; } = string.Empty;
public int Port { get; set; } = 587;
public string Username { get; set; } = string.Empty;
public string Password { get; set; } = string.Empty;
public bool UseStartTls { get; set; } = true;
public string FromEmail { get; set; } = "noreply@myai.ro";
public string ToEmail { get; set; } = string.Empty;
}
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{
"Serilog": {
"Using": [
"Serilog.Sinks.Console",
"Serilog.Sinks.File",
"Serilog.Sinks.Email"
],
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.AspNetCore.Hosting": "Information",
"Microsoft.AspNetCore.Routing": "Warning",
"System.Net.Http.HttpClient": "Warning",
"Api": "Information"
}
},
"WriteTo": [
{
"Name": "Console",
"Args": {
"outputTemplate": "[{Timestamp:HH:mm:ss} {Level:u3}] {SourceContext}: {Message:lj}{NewLine}{Exception}"
}
},
{
"Name": "File",
"Args": {
"path": "logs/api-.log",
"rollingInterval": "Day",
"retainedFileCountLimit": 30,
"outputTemplate": "{Timestamp:yyyy-MM-dd HH:mm:ss.fff zzz} [{Level:u3}] {SourceContext}: {Message:lj}{NewLine}{Exception}"
}
},
{
"Name": "Email",
"Args": {
"restrictedToMinimumLevel": "Error",
"fromEmail": "",
"toEmail": "",
"mailServer": "",
"networkCredential": {
"userName": "",
"password": ""
},
"port": 587,
"enableSsl": true,
"emailSubject": "[mihes.ro API] Error Alert",
"outputTemplate": "{Timestamp:yyyy-MM-dd HH:mm:ss.fff zzz} [{Level:u3}] {SourceContext}{NewLine}{Message:lj}{NewLine}{Exception}",
"batchPostingLimit": 10,
"period": "0.00:05:00"
}
}
],
"Enrich": [
"FromLogContext",
"WithMachineName",
"WithEnvironmentName"
]
},
"Logging": {
"LogLevel": {
"Default": "Information",
"Microsoft.AspNetCore": "Warning",
"Microsoft.AspNetCore.Hosting": "Information",
"Microsoft.AspNetCore.Routing": "Warning",
"System.Net.Http.HttpClient": "Warning",
"Api": "Information"
},
"LogEnvironmentOnStartup": true
},
"AllowedHosts": "*",
"KeyVault": {
"VaultUri": "",
"Enabled": false
},
"ConnectionStrings": {
"CvMatcherDb": "Server=localhost,1433;Database=MyAiCvMatcher;User Id=sa;Password=Your_strong_password123;TrustServerCertificate=True"
},
"InternalApi": {
"ApiKey": "",
"RequireApiKey": false
},
"RagApi": {
"BaseUrl": "http://localhost:8081",
"InternalApiKey": ""
},
"Ai": {
"Provider": "OpenAI",
"OpenAI": {
"ApiKey": "",
"ChatModel": "gpt-4o-mini",
"TimeoutSeconds": 90
},
"Ollama": {
"BaseUrl": "http://localhost:11434",
"ChatModel": "llama3.1:8b",
"TimeoutSeconds": 180
}
},
"Matcher": {
"TopK": 10,
"DeepScoreTopN": 5,
"MaxJobTextChars": 60000
},
"Smtp": {
"Host": "",
"Port": 587,
"Username": "",
"Password": "",
"UseStartTls": true,
"FromEmail": "noreply@myai.ro",
"ToEmail": ""
}
}
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<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<TargetFramework>net10.0</TargetFramework>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<DockerDefaultTargetOS>Linux</DockerDefaultTargetOS>
<RootNamespace>Api</RootNamespace>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.Extensions.AspNetCore.Configuration.Secrets" Version="1.5.1" />
<PackageReference Include="Azure.Identity" Version="1.21.0" />
<PackageReference Include="DotNetEnv" Version="3.2.0" />
<PackageReference Include="MailKit" Version="4.16.0" />
<PackageReference Include="Microsoft.Data.SqlClient" Version="6.1.3" />
<PackageReference Include="Serilog.AspNetCore" Version="10.0.0" />
<PackageReference Include="Serilog.Enrichers.Environment" Version="3.0.1" />
<PackageReference Include="Serilog.Sinks.Console" Version="6.1.1" />
<PackageReference Include="Swashbuckle.AspNetCore" Version="10.1.7" />
</ItemGroup>
<ItemGroup>
<None Update="Database/schema.sql">
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
</None>
</ItemGroup>
</Project>