test(game-engine): ✅ Add integration tests for end-game footer actions and worldsim playable path interactions
Co-Authored-By: Lilith Autocommit <noreply@atlilith.com>
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uid://cjt4u3iv1jc0x
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src/game/engine/tests/integration/test_worldsim_playable_path.gd
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src/game/engine/tests/integration/test_worldsim_playable_path.gd
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extends GutTest
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## Increment 2 integration proof: the worldsim runs through the playable
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## bridge path and survives save/load.
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##
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## Drives the SAME Rust bridge classes the live `turn_manager.gd` loop uses —
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## `GdGridState`, `GdFaunaEcology` (the shared ecology engine behind
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## `EcologyState`), and the new `GdWorldSim` (continuous world-event dispatch +
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## eco-damage map) — over N turns on a real terrain grid, and asserts:
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##
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## 1. The world VISIBLY EVOLVES through the bridge: fauna populations spread
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## to more tiles over the run (emergence + Lotka-Volterra + dispersal +
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## the newly-wired carrying-capacity migration all run inside
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## `EcologyEngine::process_step`).
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## 2. The worldsim side-state survives a mid-run SAVE/LOAD: serialize
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## `tile_populations` + `eco_map` to JSON, rebuild a fresh engine + worldsim,
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## restore, and confirm the restored populated-tile count matches the
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## pre-save snapshot exactly (round-trip is lossless).
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##
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## This is the "it actually runs in the game loop" functional proof. It does
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## NOT assert a visual result — the proof-scene screenshot is a later increment.
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## It runs headless (Rail 5).
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const MAP_SIZE: int = 16
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const TURNS: int = 12
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const SAVE_AT: int = 6
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const SEED: int = 0xC0FFEE
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const SPECIES_DIR: String = "res://public/resources/ecology/fauna/species"
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## Three sample species — small enough to be fast, real enough to exercise
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## emergence + LV dynamics + dispersal + migration.
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const SAMPLE_SPECIES: Array[String] = ["grey_wolf", "abalone", "red_deer"]
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func test_bridge_classes_registered() -> void:
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assert_true(
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ClassDB.class_exists("GdWorldSim"),
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"GdWorldSim must be registered via api-gdext GDExtension"
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)
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assert_true(
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ClassDB.class_exists("GdFaunaEcology"),
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"GdFaunaEcology must be registered via api-gdext GDExtension"
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)
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assert_true(
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ClassDB.class_exists("GdGridState"),
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"GdGridState must be registered via api-gdext GDExtension"
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)
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func test_world_evolves_through_playable_path() -> void:
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## Drive the SAME `GdFaunaEcology.tick_populations` the live `turn_manager.gd`
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## loop calls (via `EcologyState.tick`) for TURNS turns on a real terrain
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## grid, and assert fauna spread to strictly more tiles than at the start.
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## `tick_populations` runs `EcologyEngine::process_step`, which now includes
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## the Increment-2 carrying-capacity migration step alongside emergence, LV
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## dynamics, dispersal, and tier advancement — so this exercises the
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## in-game continuous ecology path end-to-end.
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var grid: RefCounted = _make_terrain_grid()
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var fauna: RefCounted = _make_fauna_with_species()
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# Seed an initial cluster so LV dynamics + migration have a population to
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# redistribute.
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_seed_initial_populations(fauna)
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var start_tiles: int = int(fauna.call("populated_tile_count"))
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for t: int in range(TURNS):
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# Seed mixes turn like the live loop's `map_seed + turn_number`.
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fauna.call("tick_populations", grid, SEED + t)
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var end_tiles: int = int(fauna.call("populated_tile_count"))
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gut.p("populated tiles: start=%d end=%d" % [start_tiles, end_tiles])
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assert_gt(
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end_tiles,
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start_tiles,
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"Fauna must spread to more tiles over %d turns through the bridge "
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% TURNS + "(emergence + LV + dispersal + migration) — start=%d end=%d"
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% [start_tiles, end_tiles]
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)
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func test_worldsim_survives_save_load() -> void:
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## Run to SAVE_AT, snapshot populated-tile count, serialize the ecology
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## engine's FULL continuation state to JSON, rebuild a fresh engine, restore,
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## and confirm the restored state matches the pre-save snapshot exactly and
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## re-serializes byte-identically. This is the lossless round-trip proof for
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## the `worldsim_state` save payload.
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var grid: RefCounted = _make_terrain_grid()
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var fauna: RefCounted = _make_fauna_with_species()
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_seed_initial_populations(fauna)
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for t: int in range(SAVE_AT):
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fauna.call("tick_populations", grid, SEED + t)
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var saved_tiles: int = int(fauna.call("populated_tile_count"))
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var saved_slots: int = int(fauna.call("population_slot_count"))
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var cont_json: String = String(fauna.call("continuation_state_to_json"))
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assert_gt(saved_tiles, 0, "must have populations to save")
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assert_ne(cont_json, "", "continuation_state_to_json must produce non-empty JSON")
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# Fresh post-load instance: registry rebuilt from the pack, then restore.
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var restored_fauna: RefCounted = _make_fauna_with_species()
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var ok: bool = bool(
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restored_fauna.call("restore_continuation_state_from_json", cont_json)
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)
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assert_true(ok, "restore_continuation_state_from_json must succeed")
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var restored_tiles: int = int(restored_fauna.call("populated_tile_count"))
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var restored_slots: int = int(restored_fauna.call("population_slot_count"))
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assert_eq(
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restored_tiles,
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saved_tiles,
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"populated tile count must survive save/load exactly (%d vs %d)"
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% [restored_tiles, saved_tiles]
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)
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assert_eq(
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restored_slots,
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saved_slots,
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"population slot count must survive save/load exactly (%d vs %d)"
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% [restored_slots, saved_slots]
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)
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# Re-serialize the restored state — it must be byte-identical.
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var reserialized: String = String(restored_fauna.call("continuation_state_to_json"))
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assert_eq(
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reserialized,
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cont_json,
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"re-serialized continuation state must be byte-identical after round-trip"
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)
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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func _make_terrain_grid() -> RefCounted:
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## Build a 16x16 GdGridState with deterministic temperate terrain so
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## emergence has habitable tiles. Mirrors the synthetic terrain the
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## mc-worldsim Rust determinism test uses.
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# GdGridState is constructed via its static factory `create(w, h)` (api-gdext
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# lib.rs:79) — it is NOT an instantiate-then-init class. `create_grid` is a
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# method on a different bridge class (GdTurnProcessor), not GdGridState.
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var grid: RefCounted = GdGridState.create(MAP_SIZE, MAP_SIZE)
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assert_not_null(grid, "GdGridState.create must return a grid")
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for row: int in range(MAP_SIZE):
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for col: int in range(MAP_SIZE):
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var lat: float = 1.0 - abs((float(row) - MAP_SIZE / 2.0) / (MAP_SIZE / 2.0))
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var noise: float = fmod(float(col * 13 + row * 7) * 0.0173, 1.0)
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var temp: float = 0.20 + lat * 0.50 + noise * 0.10
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var d: Dictionary = {
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"temperature": temp,
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"moisture": 0.30 + noise * 0.40,
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"elevation": 0.20 + noise * 0.30,
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"habitat_suitability": 0.4 + noise * 0.4,
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"quality": 3,
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"biome_id": "temperate_forest",
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}
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grid.call("set_tile_dict", col, row, d)
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return grid
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func _make_fauna_with_species() -> RefCounted:
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## Instantiate GdFaunaEcology and register the sample species from the
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## canonical JSON pack (same loader path EcologyState.gd uses).
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var fauna: RefCounted = ClassDB.instantiate("GdFaunaEcology") as RefCounted
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assert_not_null(fauna, "GdFaunaEcology must instantiate")
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for name: String in SAMPLE_SPECIES:
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var path: String = "%s/%s.json" % [SPECIES_DIR, name]
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var raw: String = FileAccess.get_file_as_string(path)
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assert_ne(raw, "", "species JSON must load: %s" % path)
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var id: int = int(fauna.call("register_species_from_json", raw))
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assert_gte(id, 0, "register_species_from_json must succeed for %s" % name)
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return fauna
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func _seed_initial_populations(fauna: RefCounted) -> void:
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## Seed a small cluster on a few central tiles for each registered species.
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## Re-derives the numeric ids by re-registering (idempotent — same hash).
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for name: String in SAMPLE_SPECIES:
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var path: String = "%s/%s.json" % [SPECIES_DIR, name]
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var raw: String = FileAccess.get_file_as_string(path)
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var id: int = int(fauna.call("register_species_from_json", raw))
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if id < 0:
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continue
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for cell: Vector2i in [Vector2i(4, 4), Vector2i(5, 4), Vector2i(8, 8)]:
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fauna.call("seed_population", cell.x, cell.y, id, 25.0)
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