claude
e95ed36647
Phases 1-10 of the planned refactoring:
Phase 1: rename shared-models -> common
- namespace Shared.Models -> Common throughout
- remove stale AspNetCore.Http.Features 5.0 reference
Phase 2: create shared-data with abstract BaseEntity
- BaseEntity: required string Id { get; init; } + DateTime CreatedAt { get; init; }
Phase 3: rename myai-models -> myai-data
- namespace MyAi.Models -> MyAi.Data
- MigrationsAssembly("myai-data")
Phase 4: rename cv-search-models -> cv-search-data
- namespace CvSearch.Models -> CvSearch.Data
- move JobSearchSettings to cv-matcher-api-models
- JobSearch*Entity now inherits BaseEntity
Phase 5: extract rag-data from rag-api
- new project: Apis/rag-data with RagDbContext + entities + migrations
- RagDocumentEntity inherits BaseEntity; cache entities use CacheKey PK
- fix duplicate AddHttpClient<RagAiClient>/AddScoped registrations in rag-api
- MigrationsAssembly("rag-data")
Phase 6: extract cv-matcher-data from cv-matcher-api
- new project: Apis/cv-matcher-data with CvMatcherDbContext + entities + migrations
- CvMatchResultEntity inherits BaseEntity; CvMatcherChatCacheEntity uses CacheKey PK
- MigrationsAssembly("cv-matcher-data")
Phase 7: create empty cv-cleanup-job-models and cv-search-job-models
Phase 8: update all 5 Dockerfiles for renamed/new projects
Phase 9: reorganise .sln virtual folders (Apis/Jobs/Models/Data/Helpers)
- update root CLAUDE.md with new project taxonomy and migration commands
- update cv-matcher-api/CLAUDE.md and cv-search-job/CLAUDE.md
Phase 10: add Directory.Packages.props for centralised NuGet versions
- remove Version= from all PackageReference elements in active .csproj files
No database changes. No runtime behaviour changes.
All MigrationId strings in __EFMigrationsHistory are unaffected.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
55 lines
2.2 KiB
C#
55 lines
2.2 KiB
C#
using Microsoft.Extensions.Options;
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using Rag.Models.Settings;
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using Rag.Data.Repositories.Contracts;
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using Api.Clients.Ai.Contracts;
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using CommonHelpers;
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namespace Api.Clients.Ai;
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public sealed class CachedRagAiClient : IAiClient
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{
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private readonly RagAiClient _client;
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private readonly IRagRepository _repository;
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private readonly AiSettings _settings;
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public CachedRagAiClient(RagAiClient client, IRagRepository repository, IOptions<AiSettings> options)
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{
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_client = client;
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_repository = repository;
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_settings = options.Value;
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}
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public async Task<float[]> CreateEmbeddingAsync(string input, CancellationToken ct)
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{
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var model = GetEmbeddingModel();
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var textHash = HashHelper.Compute(input);
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var cacheKey = HashHelper.Compute($"embedding:{_settings.Provider}:{model}:{textHash}");
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var cached = await _repository.GetEmbeddingAsync(cacheKey, ct);
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if (cached is not null) return cached;
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var vector = await _client.CreateEmbeddingAsync(input, ct);
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await _repository.SaveEmbeddingAsync(cacheKey, model, textHash, vector, ct);
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return vector;
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}
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public async Task<string> CreateChatCompletionAsync(string systemPrompt, string userPrompt, decimal temperature, CancellationToken ct)
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{
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var model = GetChatModel();
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var cacheKey = HashHelper.Compute($"chat:{_settings.Provider}:{model}:{temperature:0.00}:{systemPrompt}:{userPrompt}");
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var cached = await _repository.GetChatCompletionAsync(cacheKey, ct);
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if (cached is not null) return cached;
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var response = await _client.CreateChatCompletionAsync(systemPrompt, userPrompt, temperature, ct);
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await _repository.SaveChatCompletionAsync(cacheKey, model, temperature, response, ct);
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return response;
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}
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private string GetEmbeddingModel() => string.Equals(_settings.Provider, "Ollama", StringComparison.OrdinalIgnoreCase)
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? _settings.Ollama.EmbeddingModel
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: _settings.OpenAI.EmbeddingModel;
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private string GetChatModel() => string.Equals(_settings.Provider, "Ollama", StringComparison.OrdinalIgnoreCase)
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? _settings.Ollama.ChatModel
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: _settings.OpenAI.ChatModel;
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}
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