Add the collection dashboard

One GET /api/stats call, aggregated in a single pass over the library.
Completion funnel, breakdowns by system, genre, decade, condition and
rating, a backlog that links into the filtered library, and a value card.

Form was picked before colour, and most of the page is not a chart: single
numbers are stat tiles, the breakdowns are bar lists with the value printed
per row, which is also the table view.

The colour work, in order:

  * one hue for the breakdown bars — identity is on the axis labels, so
    colour has nothing to encode, and a darker-where-bigger ramp would just
    double-encode bar length
  * an ordinal ramp for the funnel, since owned/played/finished are ordered
    stages rather than peers
  * validated with the dataviz validator against this app's real card
    surfaces rather than a reference one, which caught that the documented
    ordinal light-end measures 1.91:1 here and fails the 2:1 floor; the ramp
    starts a step darker
  * status colour used once, on the stale-valuation notice, with an icon and
    text so it never carries meaning alone

Two bugs found by rendering it and looking, which the validator cannot see:

  * the ratings card was showing condition data under a ratings heading — a
    chart whose title did not describe its contents. Fixed by adding a real
    rating distribution rather than relabelling the card.
  * dark mode rendered light cards on a dark page. Copying the reference
    pattern's `color-scheme` onto the container overrode how every
    descendant resolved light-dark(), and the `:root`-prefixed media
    override never matched at all, because Angular's emulated encapsulation
    scopes selectors in component styles. Both replaced by light-dark()
    values that inherit the app's own scheme.

The value card reports coverage, age and source beside the total, and flags
valuations older than 90 days, because a bare figure mixes fresh with stale
and silently omits everything unpriced.

148 backend tests.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-08-04 17:08:39 -04:00
co-authored by Claude Opus 5
parent d34e6b4ced
commit ddc618fc9c
12 changed files with 1228 additions and 1 deletions
@@ -0,0 +1,44 @@
namespace LudosData.Api.Contracts;
public record CountByLabel(string Label, int Count);
/// <summary>
/// The owned → played → finished progression. Each stage is a subset of the one
/// before it, so the numbers only make sense read in order.
/// </summary>
public record CompletionFunnel(int Owned, int Played, int Finished);
/// <summary>
/// Collection value, reported with everything needed to judge it.
///
/// A bare total invites a false reading: it silently mixes games priced today
/// with games priced months ago, and quietly excludes everything unpriced. So the
/// coverage, the age range and the sources all travel with the figure.
/// </summary>
public record ValueSummary(
decimal Total,
int PricedCount,
int UnpricedCount,
decimal TotalPaid,
int PaidCount,
DateTimeOffset? OldestValuedAt,
DateTimeOffset? NewestValuedAt,
IReadOnlyList<string> Sources,
/// <summary>What the collection would be worth if every copy were complete in box.</summary>
decimal? TotalIfCib);
public record StatsResponse(
int TotalGames,
CompletionFunnel Funnel,
int Backlog,
int InProgress,
int Dumped,
int RatedCount,
double? AverageRating,
IReadOnlyList<CountByLabel> BySystem,
IReadOnlyList<CountByLabel> ByGenre,
IReadOnlyList<CountByLabel> ByDecade,
IReadOnlyList<CountByLabel> ByCondition,
/// <summary>Rating distribution, 1-10. Only scores actually used appear.</summary>
IReadOnlyList<CountByLabel> ByRating,
ValueSummary Value);
@@ -0,0 +1,138 @@
using LudosData.Api.Auth;
using LudosData.Api.Contracts;
using LudosData.Api.Data;
using LudosData.Api.Domain;
using Microsoft.AspNetCore.Authorization;
using Microsoft.AspNetCore.Mvc;
using Microsoft.EntityFrameworkCore;
namespace LudosData.Api.Controllers;
/// <summary>
/// Aggregates for the dashboard, in one round trip.
///
/// The whole library is loaded and reduced in memory rather than issued as a
/// dozen grouped queries: a personal collection is hundreds of rows, not
/// millions, and one pass is both faster and far easier to keep consistent than
/// twelve queries that could disagree with each other.
/// </summary>
[ApiController]
[Route("api/stats")]
[Authorize]
public class StatsController(LudosDbContext db) : ControllerBase
{
[HttpGet]
public async Task<ActionResult<StatsResponse>> Get(CancellationToken ct)
{
var ownerId = User.GetUserId();
var games = await db.Games.AsNoTracking()
.Where(g => g.OwnerId == ownerId)
.ToListAsync(ct);
var owned = games.Count(g => g.Own);
var played = games.Count(g => g.Own && g.Played);
var finished = games.Count(g => g.Own && g.Finished);
var rated = games.Where(g => g.Rating is not null).ToList();
var priced = games.Where(g => g.MarketValue is not null).ToList();
var valuedAt = priced
.Where(g => g.MarketValueUpdatedAt is not null)
.Select(g => g.MarketValueUpdatedAt!.Value)
.ToList();
var value = new ValueSummary(
Total: priced.Sum(g => g.MarketValue ?? 0m),
PricedCount: priced.Count,
UnpricedCount: games.Count - priced.Count,
TotalPaid: games.Sum(g => g.PurchasePrice ?? 0m),
PaidCount: games.Count(g => g.PurchasePrice is not null),
OldestValuedAt: valuedAt.Count > 0 ? valuedAt.Min() : null,
NewestValuedAt: valuedAt.Count > 0 ? valuedAt.Max() : null,
Sources: priced
.Select(g => g.MarketValueSource)
.Where(s => !string.IsNullOrWhiteSpace(s))
.Select(s => s!)
.Distinct()
.OrderBy(s => s)
.ToList(),
// Only meaningful once some CIB prices exist; null keeps the card
// from showing a total that is really just the games that happen to
// have that tier filled in.
TotalIfCib: games.Any(g => g.ValueCib is not null)
? games.Sum(g => g.ValueCib ?? g.MarketValue ?? 0m)
: null);
return Ok(new StatsResponse(
TotalGames: games.Count,
Funnel: new CompletionFunnel(owned, played, finished),
Backlog: games.Count(g => g.Own && !g.Played),
InProgress: games.Count(g => g.Played && !g.Finished),
Dumped: games.Count(g => g.Dumped),
RatedCount: rated.Count,
AverageRating: rated.Count > 0 ? Math.Round(rated.Average(g => g.Rating!.Value), 1) : null,
BySystem: Rank(games, g => g.System),
ByGenre: Rank(games, g => g.Genre),
ByDecade: ByDecade(games),
ByCondition: games
.GroupBy(g => g.Condition)
.OrderByDescending(g => g.Count())
.Select(g => new CountByLabel(Describe(g.Key), g.Count()))
.ToList(),
// Highest score first, so the best-regarded games lead. Only scores
// in use appear — empty rows for unused ratings would be noise.
ByRating: rated
.GroupBy(g => g.Rating!.Value)
.OrderByDescending(g => g.Key)
.Select(g => new CountByLabel($"{g.Key} / 10", g.Count()))
.ToList(),
Value: value));
}
private static List<CountByLabel> Rank(List<Game> games, Func<Game, string?> select) =>
games
.Select(select)
.Where(v => !string.IsNullOrWhiteSpace(v))
.GroupBy(v => v!)
// Count first, then alphabetically, so equal counts have a stable
// order rather than shuffling between requests.
.OrderByDescending(g => g.Count())
.ThenBy(g => g.Key, StringComparer.OrdinalIgnoreCase)
.Select(g => new CountByLabel(g.Key, g.Count()))
.ToList();
private static List<CountByLabel> ByDecade(List<Game> games)
{
var decades = new Dictionary<int, int>();
foreach (var game in games)
{
// Year is a free-text column, so pull the first plausible year out
// of whatever is there rather than trusting it to parse.
var match = System.Text.RegularExpressions.Regex.Match(
game.Year ?? string.Empty, @"(19|20)\d{2}");
if (!match.Success || !int.TryParse(match.Value, out var year))
{
continue;
}
var decade = year - (year % 10);
decades[decade] = decades.GetValueOrDefault(decade) + 1;
}
return decades
.OrderBy(d => d.Key)
.Select(d => new CountByLabel($"{d.Key}s", d.Value))
.ToList();
}
private static string Describe(GameCondition condition) => condition switch
{
GameCondition.Loose => "Loose",
GameCondition.Cib => "Complete in box",
GameCondition.Sealed => "Sealed",
GameCondition.Digital => "Digital",
_ => "Unspecified",
};
}
@@ -0,0 +1,164 @@
using System.Net;
using LudosData.Api.Contracts;
namespace LudosData.Api.Tests;
public class StatsTests(LudosApiFactory factory) : IClassFixture<LudosApiFactory>
{
private static object Game(
string title, string system = "SNES", string genre = "rpg", string? year = "1995",
bool own = true, bool dumped = false, bool played = false, bool finished = false,
int? rating = null, decimal? marketValue = null, decimal? purchasePrice = null,
string condition = "Unspecified") => new
{
title, system, genre, year, own, dumped, played, finished,
rating, marketValue, purchasePrice, condition,
};
private static async Task SeedAsync(HttpClient client)
{
// 4 owned, 3 played, 1 finished — so every funnel stage differs.
await client.PostJsonAsync("/api/games", Game("Alpha", "SNES", "rpg", "1995",
played: true, finished: true, rating: 9, marketValue: 100m, purchasePrice: 40m));
await client.PostJsonAsync("/api/games", Game("Beta", "SNES", "rpg", "1996",
played: true, rating: 7, marketValue: 50m));
await client.PostJsonAsync("/api/games", Game("Gamma", "N64", "fps", "2001",
played: true, dumped: true));
await client.PostJsonAsync("/api/games", Game("Delta", "N64", "racing", "2011"));
}
[Fact]
public async Task The_funnel_reports_each_stage_as_a_subset_of_the_last()
{
var client = await factory.CreateUserClientAsync("stats-funnel");
await SeedAsync(client);
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(4, stats!.TotalGames);
Assert.Equal(4, stats.Funnel.Owned);
Assert.Equal(3, stats.Funnel.Played);
Assert.Equal(1, stats.Funnel.Finished);
// The two numbers a backlog view exists to surface.
Assert.Equal(1, stats.Backlog); // owned, never played
Assert.Equal(2, stats.InProgress); // played, not finished
Assert.Equal(1, stats.Dumped);
}
[Fact]
public async Task Breakdowns_are_ordered_by_count_then_alphabetically()
{
var client = await factory.CreateUserClientAsync("stats-breakdown");
await SeedAsync(client);
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(["N64", "SNES"], stats!.BySystem.Select(s => s.Label));
Assert.Equal(2, stats.BySystem[0].Count);
// A tie must not shuffle between requests.
var again = await client.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(stats.BySystem.Select(s => s.Label), again!.BySystem.Select(s => s.Label));
}
[Fact]
public async Task Decades_are_derived_from_a_free_text_year_column()
{
var client = await factory.CreateUserClientAsync("stats-decades");
await SeedAsync(client);
// Year is free text, so these are the shapes that actually turn up.
await client.PostJsonAsync("/api/games", Game("Vague", year: "circa 1998"));
await client.PostJsonAsync("/api/games", Game("Empty", year: ""));
await client.PostJsonAsync("/api/games", Game("Junk", year: "unknown"));
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
var decades = stats!.ByDecade.ToDictionary(d => d.Label, d => d.Count);
Assert.Equal(3, decades["1990s"]); // 1995, 1996, "circa 1998"
Assert.Equal(1, decades["2000s"]); // 2001
Assert.Equal(1, decades["2010s"]); // 2011
// "" and "unknown" are omitted rather than bucketed as a zero decade,
// so the totals fall short of the library count by design.
Assert.Equal(5, decades.Values.Sum());
}
[Fact]
public async Task Decades_are_in_chronological_order()
{
var client = await factory.CreateUserClientAsync("stats-decade-order");
await SeedAsync(client);
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
// Time reads left to right, regardless of which decade is largest.
var labels = stats!.ByDecade.Select(d => d.Label).ToList();
Assert.Equal(labels.OrderBy(l => l, StringComparer.Ordinal), labels);
}
[Fact]
public async Task Value_carries_coverage_age_and_source_alongside_the_total()
{
var client = await factory.CreateUserClientAsync("stats-value");
await SeedAsync(client);
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(150m, stats!.Value.Total);
Assert.Equal(2, stats.Value.PricedCount);
// The two unpriced games are reported, so a total is never mistaken for
// covering the whole collection.
Assert.Equal(2, stats.Value.UnpricedCount);
Assert.NotNull(stats.Value.OldestValuedAt);
Assert.Contains("manual", stats.Value.Sources);
}
[Fact]
public async Task An_empty_library_reports_zeroes_rather_than_failing()
{
var client = await factory.CreateUserClientAsync("stats-empty");
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(0, stats!.TotalGames);
Assert.Equal(0, stats.Funnel.Owned);
Assert.Empty(stats.BySystem);
Assert.Equal(0m, stats.Value.Total);
// No games rated means no average, which is not the same as zero.
Assert.Null(stats.AverageRating);
Assert.Null(stats.Value.OldestValuedAt);
}
[Fact]
public async Task Ratings_average_only_over_rated_games()
{
var client = await factory.CreateUserClientAsync("stats-rating");
await SeedAsync(client);
var stats = await client.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(2, stats!.RatedCount);
// (9 + 7) / 2 — the two unrated games do not count as zero.
Assert.Equal(8.0, stats.AverageRating);
}
[Fact]
public async Task Stats_cover_only_the_signed_in_users_library()
{
var alice = await factory.CreateUserClientAsync("stats-alice");
var bob = await factory.CreateUserClientAsync("stats-bob");
await SeedAsync(alice);
var bobStats = await bob.GetJsonAsync<StatsResponse>("/api/stats");
Assert.Equal(0, bobStats!.TotalGames);
}
[Fact]
public async Task Stats_require_a_token()
{
var response = await factory.CreateClient().GetAsync("/api/stats");
Assert.Equal(HttpStatusCode.Unauthorized, response.StatusCode);
}
}