Speed up engine integration tests (#1897)

## 🌟 What is the purpose of this PR?

The engine tests has to be run from time to time and this usually slows down our current CI by a lot. This PR reduces the amount of tests running on the engine.

## 🔗 Related links

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- [Asana task](https://app.asana.com/0/1203543021352041/1203767287750359/f) _(internal)_

## 🔍 What does this change?

- Set the step count to `10` for integration tests
- Don't run the engine in `production`
- Use `cargo-nextest` instead of `cargo test`

apps/engine/Makefile.toml

@@ -30,8 +30,8 @@ dependencies = ["build-test-deps"]
 [tasks.run-integrations]
 private = true
 extend = "cargo"
-args = ["test", "--workspace", "--test", "integration", "--no-fail-fast", "--profile", "${CARGO_MAKE_CARGO_PROFILE}", "--all-features"]
-dependencies = ["setup-python"]
+args = ["nextest", "run", "--workspace", "--test", "integration", "--no-fail-fast", "--cargo-profile", "${CARGO_MAKE_CARGO_PROFILE}", "--all-features"]
+dependencies = ["install-cargo-nextest", "setup-python"]
 
 # The workspace crate (`hash_engine_lib`) does not have any source files but only the integration tests. `rustdoc` will
 # error when running on an empty crate, so disable running it on the workspace crate.

apps/engine/tests/examples/air_defense_system/experiments.json

@@ -1,22 +1,22 @@
 {
   "radar_zone_arange": {
-    "steps": 100,
+    "steps": 10,
     "type": "arange",
     "field": "radarZone",
     "start": 5,
     "stop": 20,
     "increment": 5
   },
   "missile_speed_arange": {
-    "steps": 600,
+    "steps": 10,
     "type": "arange",
     "field": "missileSpeed",
     "start": 1,
     "stop": 3,
     "increment": 0.5
   },
   "radar_max_missiles_arange": {
-    "steps": 200,
+    "steps": 10,
     "type": "arange",
     "field": "radarMaxMissiles",
     "start": 1,
@@ -53,6 +53,6 @@
         [30, 32]
       ]
     ],
-    "steps": 100
+    "steps": 10
   }
 }

apps/engine/tests/examples/boids_3d/experiments.json

@@ -4,17 +4,17 @@
     "start": 10,
     "stop": 16,
     "increment": 2,
-    "steps": 100,
+    "steps": 10,
     "type": "arange"
   },
   "agent_count_value": {
-    "steps": 100,
+    "steps": 10,
     "type": "values",
     "field": "agent_count",
     "values": [25, 100, 200]
   },
   "sweep_flocks": {
-    "steps": 100,
+    "steps": 10,
     "type": "group",
     "runs": ["cohesion_arange", "agent_count_value"]
   }

apps/engine/tests/examples/connection_example/experiments.json

@@ -3,6 +3,6 @@
     "type": "values",
     "field": "",
     "values": [1],
-    "steps": 100
+    "steps": 10
   }
 }

apps/engine/tests/examples/rumor_mill_public_health_practices/experiments.json

@@ -1,6 +1,6 @@
 {
   "good_psa_freq_log_normal": {
-    "steps": 100,
+    "steps": 10,
     "type": "monte-carlo",
     "field": "good_psa_freq",
     "samples": 1,

apps/engine/tests/examples/warehouse_logistics/experiments.json

@@ -3,7 +3,7 @@
     "type": "values",
     "field": "layout",
     "values": ["columns", "rows"],
-    "steps": 500
+    "steps": 10
   },
   "find_optimal_layout": {
     "type": "optimization",

apps/engine/tests/examples/wholesale_warehouse1/integration-test.json

@@ -1,6 +1,6 @@
 [
   {
-    "steps": 50,
+    "steps": 10,
     "expected-output": {}
   }
 ]