using System.IO.Enumeration;
using System.Reflection;
using System.Security.Cryptography;
using System.Text.Json;
using JobTrackerApi.Controllers;
using JobTrackerApi.Models;
using JobTrackerApi.Services;
using JobTrackerApi.Tests.TestSupport;
using Microsoft.AspNetCore.Http;
using Microsoft.AspNetCore.Identity;
using Microsoft.AspNetCore.Mvc;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.Hosting;
using Moq;
using Xunit;

namespace JobTrackerApi.Tests;

public sealed class CvCorpusHarnessTests
{
    private static readonly string CorpusRoot = "/home/pi/cvs";

    [Fact]
    public async Task Local_cv_corpus_harness_produces_repeatable_parse_report_when_available()
    {
        if (!Directory.Exists(CorpusRoot)) return;

        var ignoredPatterns = ResolveIgnoredPatterns();
        var files = Directory.EnumerateFiles(CorpusRoot, "*.*", SearchOption.TopDirectoryOnly)
            .Where(path => path.EndsWith(".pdf", StringComparison.OrdinalIgnoreCase)
                || path.EndsWith(".docx", StringComparison.OrdinalIgnoreCase)
                || path.EndsWith(".txt", StringComparison.OrdinalIgnoreCase)
                || path.EndsWith(".md", StringComparison.OrdinalIgnoreCase))
            .Where(path => !IsIgnoredFile(path, ignoredPatterns))
            .OrderBy(path => path, StringComparer.OrdinalIgnoreCase)
            .ToList();

        if (files.Count == 0) return;

        var outputRoot = ResolveOutputRoot();
        var outputsDir = Path.Combine(outputRoot, "outputs");
        var candidateFixturesDir = Path.Combine(outputRoot, "candidate-fixtures");
        var approvedFixturesDir = ResolveApprovedFixturesRoot(outputRoot);
        Directory.CreateDirectory(outputRoot);
        Directory.CreateDirectory(outputsDir);
        Directory.CreateDirectory(candidateFixturesDir);
        Directory.CreateDirectory(approvedFixturesDir);

        var user = new ApplicationUser { Id = "user-1", ProfileCvText = "seed" };
        var userManager = TestHostFactory.CreateUserManager();
        userManager.Setup(x => x.GetUserAsync(It.IsAny<System.Security.Claims.ClaimsPrincipal>())).ReturnsAsync(user);
        userManager.Setup(x => x.UpdateAsync(It.IsAny<ApplicationUser>())).ReturnsAsync(IdentityResult.Success);

        var aiService = new Mock<ISummarizerService>();
        aiService.Setup(x => x.SummarizeSectionAsync(It.Is<string>(instruction => instruction.Contains("Extract this CV into structured JSON", StringComparison.Ordinal)), It.IsAny<string>(), 3200, 900)).ReturnsAsync(string.Empty);
        aiService.Setup(x => x.SummarizeSectionAsync(It.Is<string>(instruction => instruction.Contains("Reconstruct this CV text extracted from a PDF", StringComparison.Ordinal)), It.IsAny<string>(), 2800, 900)).ReturnsAsync((string _, string text, int _, int __) => text);
        var cvAiNormalizer = CreateCvAiNormalizerFromEnvironment();

        await using var db = TestHostFactory.CreateInMemoryDb();
        var paths = CreatePaths(outputRoot);
        var controller = new ProfileCvController(userManager.Object, aiService.Object, db, paths, null, NoOpCvAiClassifier.Instance, cvAiNormalizer)
        {
            ControllerContext = new ControllerContext { HttpContext = new DefaultHttpContext() }
        };

        var extractMethod = typeof(ProfileCvController).GetMethod("ExtractTextAsync", BindingFlags.NonPublic | BindingFlags.Static);
        var reconstructMethod = typeof(ProfileCvController).GetMethod("MaybeReconstructStructuredCvAsync", BindingFlags.NonPublic | BindingFlags.Instance);
        var buildMethod = typeof(ProfileCvController).GetMethod("BuildStructuredCvAsync", BindingFlags.NonPublic | BindingFlags.Instance);
        Assert.NotNull(extractMethod);
        Assert.NotNull(reconstructMethod);
        Assert.NotNull(buildMethod);

        var entries = new List<CvBenchmarkEntry>();
        foreach (var path in files)
        {
            await using var stream = File.OpenRead(path);
            var fileName = Path.GetFileName(path);
            var formFile = new FormFile(stream, 0, stream.Length, "file", fileName)
            {
                Headers = new HeaderDictionary(),
                ContentType = GuessContentType(path)
            };

            var extension = Path.GetExtension(path);
            var extractTask = (Task<string>)extractMethod!.Invoke(null, new object[] { formFile, extension })!;
            var text = await extractTask;
            Assert.False(string.IsNullOrWhiteSpace(text));

            var reconstructTask = (Task<string>)reconstructMethod!.Invoke(controller, new object[] { text, CancellationToken.None })!;
            var normalizedText = await reconstructTask;
            Assert.False(string.IsNullOrWhiteSpace(normalizedText));

            var buildTask = (Task<StructuredCvProfile>)buildMethod!.Invoke(controller, new object[] { normalizedText, CancellationToken.None })!;
            var structured = StructuredCvProfileJson.Normalize(await buildTask);
            Assert.NotNull(structured);

            var slug = Slugify(fileName);
            var normalizedJson = StructuredCvProfileJson.Serialize(structured);
            var outputPath = Path.Combine(outputsDir, $"{slug}.json");
            await File.WriteAllTextAsync(outputPath, PrettyJson(normalizedJson));

            var approvedPath = Path.Combine(approvedFixturesDir, $"{slug}.json");
            var candidateFixturePath = Path.Combine(candidateFixturesDir, $"{slug}.json");
            string? diffSummary = null;
            var approvedExists = File.Exists(approvedPath);
            if (approvedExists)
            {
                var approvedJson = await File.ReadAllTextAsync(approvedPath);
                diffSummary = SummarizeDiff(approvedJson, normalizedJson);
            }
            else
            {
                await File.WriteAllTextAsync(candidateFixturePath, PrettyJson(normalizedJson));
                diffSummary = "No approved fixture yet — candidate fixture written.";
            }

            entries.Add(new CvBenchmarkEntry(
                FileName: fileName,
                Slug: slug,
                Extension: extension,
                Characters: text.Length,
                OutputPath: outputPath,
                ApprovedFixturePath: approvedExists ? approvedPath : null,
                CandidateFixturePath: approvedExists ? null : candidateFixturePath,
                ContactLocation: structured.Contact.Location,
                FirstJob: structured.Jobs.FirstOrDefault()?.Title,
                FirstJobLocation: structured.Jobs.FirstOrDefault()?.Location,
                FirstEducation: structured.Education.FirstOrDefault()?.Qualification,
                FirstEducationLocation: structured.Education.FirstOrDefault()?.Location,
                QualificationLevels: structured.Education.Select(x => x.QualificationLevel).Where(x => !string.IsNullOrWhiteSpace(x)).Cast<string>().ToList(),
                SuspiciousLocations: structured.Jobs.Select(job => job.Location)
                    .Concat(structured.Education.Select(education => education.Location))
                    .Append(structured.Contact.Location)
                    .Where(value => !string.IsNullOrWhiteSpace(value))
                    .Cast<string>()
                    .Where(LooksSuspiciousLocation)
                    .ToList(),
                CoverageScore: ComputeCoverageScore(structured),
                ConfidenceScore: ComputeConfidenceScore(structured),
                ConsistencyScore: ComputeConsistencyScore(structured),
                DiffSummary: diffSummary
            ));
        }

        var summary = new CvBenchmarkSummary(
            CorpusRoot,
            outputRoot,
            DateTimeOffset.UtcNow,
            entries.Count,
            Math.Round(entries.Average(x => x.CoverageScore), 3),
            Math.Round(entries.Average(x => x.ConfidenceScore), 3),
            Math.Round(entries.Average(x => x.ConsistencyScore), 3),
            entries.Count(x => x.SuspiciousLocations.Count > 0),
            entries.Count(x => x.ApprovedFixturePath is null),
            entries
        );

        var indexPath = Path.Combine(outputRoot, "index.json");
        var reportPath = Path.Combine(outputRoot, "report.md");
        await File.WriteAllTextAsync(indexPath, JsonSerializer.Serialize(summary, new JsonSerializerOptions { WriteIndented = true }));
        await File.WriteAllTextAsync(reportPath, RenderMarkdownReport(summary));

        Assert.True(entries.Count > 0);
    }

    private sealed record CvBenchmarkEntry(
        string FileName,
        string Slug,
        string Extension,
        int Characters,
        string OutputPath,
        string? ApprovedFixturePath,
        string? CandidateFixturePath,
        string? ContactLocation,
        string? FirstJob,
        string? FirstJobLocation,
        string? FirstEducation,
        string? FirstEducationLocation,
        List<string> QualificationLevels,
        List<string> SuspiciousLocations,
        double CoverageScore,
        double ConfidenceScore,
        double ConsistencyScore,
        string? DiffSummary);

    private sealed record CvBenchmarkSummary(
        string CorpusRoot,
        string OutputRoot,
        DateTimeOffset GeneratedAtUtc,
        int TotalFiles,
        double AverageCoverage,
        double AverageConfidence,
        double AverageConsistency,
        int FilesWithSuspiciousLocations,
        int MissingApprovedFixtures,
        List<CvBenchmarkEntry> Entries);

    private static string ResolveOutputRoot()
    {
        var configured = Environment.GetEnvironmentVariable("CV_BENCHMARK_OUTPUT_DIR");
        if (!string.IsNullOrWhiteSpace(configured)) return configured.Trim();
        return Path.Combine(Path.GetTempPath(), "jobtracker-cv-benchmark", DateTime.UtcNow.ToString("yyyyMMddHHmmss"));
    }

    private static string ResolveApprovedFixturesRoot(string outputRoot)
    {
        var configured = Environment.GetEnvironmentVariable("CV_BENCHMARK_APPROVED_DIR");
        if (!string.IsNullOrWhiteSpace(configured)) return configured.Trim();
        return Path.Combine(outputRoot, "approved-fixtures");
    }

    private static List<string> ResolveIgnoredPatterns()
    {
        var configured = Environment.GetEnvironmentVariable("CV_BENCHMARK_IGNORE");
        if (string.IsNullOrWhiteSpace(configured)) return new List<string>();

        return configured
            .Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries)
            .Where(value => !string.IsNullOrWhiteSpace(value))
            .ToList();
    }

    private static bool IsIgnoredFile(string path, List<string> ignoredPatterns)
    {
        if (ignoredPatterns.Count == 0) return false;

        var fileName = Path.GetFileName(path);
        foreach (var pattern in ignoredPatterns)
        {
            if (FileSystemName.MatchesSimpleExpression(pattern, fileName, ignoreCase: true))
            {
                return true;
            }
        }

        return false;
    }

    private static string PrettyJson(string normalizedJson)
    {
        using var doc = JsonDocument.Parse(normalizedJson);
        return JsonSerializer.Serialize(doc.RootElement, new JsonSerializerOptions { WriteIndented = true });
    }

    private static string SummarizeDiff(string approvedJson, string actualJson)
    {
        if (JsonDocument.Parse(approvedJson).RootElement.ToString() == JsonDocument.Parse(actualJson).RootElement.ToString())
        {
            return "Matches approved fixture.";
        }

        var approvedHash = Hash(approvedJson);
        var actualHash = Hash(actualJson);
        return $"Fixture differs (approved {approvedHash[..8]}, actual {actualHash[..8]}).";
    }

    private static string Hash(string value) => Convert.ToHexString(SHA256.HashData(System.Text.Encoding.UTF8.GetBytes(value))).ToLowerInvariant();

    private static double ComputeCoverageScore(StructuredCvProfile structured)
    {
        var signals = new[]
        {
            !string.IsNullOrWhiteSpace(structured.Contact.FullName),
            !string.IsNullOrWhiteSpace(structured.Contact.Email),
            !string.IsNullOrWhiteSpace(structured.Contact.Location),
            structured.Summary.Count > 0,
            structured.Skills.Count > 0,
            structured.Jobs.Count > 0,
            structured.Education.Count > 0,
            structured.Certifications.Count > 0 || structured.Projects.Count > 0 || structured.OtherSections.Count > 0,
        };
        return signals.Count(x => x) / (double)signals.Length;
    }

    private static double ComputeConfidenceScore(StructuredCvProfile structured)
    {
        var confidences = structured.Metadata.Fields.Values.Select(x => x.Confidence).Where(x => x.HasValue).Select(x => x!.Value).ToList();
        return confidences.Count == 0 ? 0.55 : Math.Clamp(confidences.Average(), 0, 1);
    }

    private static double ComputeConsistencyScore(StructuredCvProfile structured)
    {
        var penalties = 0;
        penalties += structured.Jobs.Count(job => LooksSuspiciousLocation(job.Location));
        penalties += structured.Education.Count(education => LooksSuspiciousLocation(education.Location));
        penalties += LooksSuspiciousLocation(structured.Contact.Location) ? 1 : 0;
        penalties += structured.Education.Count(education => string.IsNullOrWhiteSpace(education.QualificationLevel) && !string.IsNullOrWhiteSpace(education.Qualification));
        return Math.Max(0, 1 - (penalties * 0.12));
    }

    private static string RenderMarkdownReport(CvBenchmarkSummary summary)
    {
        var lines = new List<string>
        {
            "# CV benchmark report",
            string.Empty,
            $"- Generated: {summary.GeneratedAtUtc:O}",
            $"- Corpus root: `{summary.CorpusRoot}`",
            $"- Output root: `{summary.OutputRoot}`",
            $"- Files: {summary.TotalFiles}",
            $"- Average coverage: {summary.AverageCoverage:P0}",
            $"- Average confidence: {summary.AverageConfidence:P0}",
            $"- Average consistency: {summary.AverageConsistency:P0}",
            $"- Files with suspicious locations: {summary.FilesWithSuspiciousLocations}",
            $"- Missing approved fixtures: {summary.MissingApprovedFixtures}",
            string.Empty,
            "| File | Coverage | Confidence | Consistency | Suspicious locations | Fixture |",
            "|---|---:|---:|---:|---:|---|",
        };

        lines.AddRange(summary.Entries.Select(entry =>
            $"| {entry.FileName} | {entry.CoverageScore:P0} | {entry.ConfidenceScore:P0} | {entry.ConsistencyScore:P0} | {entry.SuspiciousLocations.Count} | {entry.DiffSummary} |"));

        lines.Add(string.Empty);
        lines.Add("## Notes");
        lines.Add("- `outputs/*.json` contains the latest normalized parser output for each CV.");
        lines.Add("- `candidate-fixtures/*.json` is created when no approved fixture exists yet.");
        lines.Add("- To build a regression baseline, review a candidate fixture and copy it into the approved-fixtures directory used by the runner.");
        return string.Join(Environment.NewLine, lines);
    }

    private static string Slugify(string value)
    {
        var cleaned = new string((value ?? string.Empty).ToLowerInvariant().Select(ch => char.IsLetterOrDigit(ch) ? ch : '-').ToArray());
        while (cleaned.Contains("--", StringComparison.Ordinal)) cleaned = cleaned.Replace("--", "-", StringComparison.Ordinal);
        return cleaned.Trim('-');
    }

    private static bool LooksSuspiciousLocation(string? value)
    {
        if (string.IsNullOrWhiteSpace(value)) return false;
        return value.Contains("Python", StringComparison.OrdinalIgnoreCase)
            || value.Contains("Ruby", StringComparison.OrdinalIgnoreCase)
            || value.Contains(" S A L E S ", StringComparison.OrdinalIgnoreCase)
            || value.Any(char.IsDigit);
    }

    private static string GuessContentType(string path)
    {
        return Path.GetExtension(path).ToLowerInvariant() switch
        {
            ".pdf" => "application/pdf",
            ".docx" => "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
            ".md" => "text/markdown",
            _ => "text/plain"
        };
    }

    private static AppPaths CreatePaths(string outputRoot)
    {
        var tempRoot = Path.Combine(Path.GetTempPath(), $"jobtracker-cv-corpus-{Guid.NewGuid():N}");
        Directory.CreateDirectory(tempRoot);

        var config = new ConfigurationBuilder()
            .AddInMemoryCollection(new Dictionary<string, string?>
            {
                ["Data:Root"] = tempRoot,
                ["Data:CvArtifactsRoot"] = Path.Combine(tempRoot, "CvArtifacts"),
                ["Data:CvBenchmarksRoot"] = outputRoot,
            })
            .Build();

        var env = new Mock<IHostEnvironment>();
        env.SetupGet(x => x.ContentRootPath).Returns(tempRoot);
        return new AppPaths(config, env.Object);
    }

    private static ICvAiNormalizer CreateCvAiNormalizerFromEnvironment()
    {
        var baseUrl = Environment.GetEnvironmentVariable("CV_AI_BASE_URL");
        if (string.IsNullOrWhiteSpace(baseUrl)) return NoOpCvAiNormalizer.Instance;

        var services = new Microsoft.Extensions.DependencyInjection.ServiceCollection();
        services.AddHttpClient("ai-service", client =>
        {
            client.BaseAddress = new Uri(baseUrl.Trim());
            client.Timeout = TimeSpan.FromSeconds(180);
        });
        var provider = services.BuildServiceProvider();
        var factory = provider.GetRequiredService<System.Net.Http.IHttpClientFactory>();
        return new CvAiNormalizer(factory);
    }
}