feat: export PostgreSQL training dataset as JSON
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using Dapper;
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using QuantEngine.Core.Interfaces;
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using QuantEngine.Infrastructure.Data;
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namespace QuantEngine.Infrastructure.Repositories;
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public sealed class LearningDatasetReader : ILearningDatasetReader
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{
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private readonly IDbConnectionFactory _connectionFactory;
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public LearningDatasetReader(IDbConnectionFactory connectionFactory) => _connectionFactory = connectionFactory;
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public async Task<IReadOnlyList<IDictionary<string, object?>>> ReadTrainingExamplesAsync(int limit = 1000)
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{
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if (limit is < 1 or > 10000)
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throw new ArgumentOutOfRangeException(nameof(limit));
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using var connection = _connectionFactory.CreateConnection();
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var rows = await connection.QueryAsync(
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"SELECT * FROM engine_history.training_example_v1 ORDER BY decided_at DESC LIMIT @Limit",
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new { Limit = limit });
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return rows.Select(row => (IDictionary<string, object?>)row).ToList();
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}
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}
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