Update SPORES objective; update math docs

docs/hooks/dummy_model/model.yaml

@@ -5,12 +5,19 @@ overrides:
       time_cluster: cluster_days.csv
     config.build:
       add_math: ["storage_inter_cluster"]
+  spores:
+    config:
+      init.name: SPORES solve mode
+      build.mode: spores
+      solve.spores.number: 2
+    parameters:
+      spores_slack: 0.1
 
 config.init.name: base
 
 nodes:
-  A.techs: {demand_tech, conversion_tech, supply_tech, storage_tech}
-  B.techs: {demand_tech, conversion_tech, supply_tech, storage_tech}
+  A.techs: { demand_tech, conversion_tech, supply_tech, storage_tech }
+  B.techs: { demand_tech, conversion_tech, supply_tech, storage_tech }
 
 techs:
   tech_transmission:

src/calliope/backend/latex_backend_model.py

@@ -541,8 +541,7 @@ def generate_math_doc(
                     "yaml_snippet": da.attrs.get("yaml_snippet", None),
                 }
                 for name, da in sorted(getattr(self, objtype).data_vars.items())
-                if (objtype == "objectives" and name == self.objective)
-                or (objtype != "objectives" and "math_string" in da.attrs)
+                if ("math_string" in da.attrs)
                 or (objtype == "parameters" and da.attrs["references"])
             ]
             for objtype in [
@@ -557,6 +556,11 @@ def generate_math_doc(
         }
         if "parameters" in components and not components["parameters"]:
             del components["parameters"]
+        for objective in components.get("objectives", []):
+            if objective["name"] == self.objective:
+                objective["name"] += " (active)"
+            else:
+                objective["name"] += " (inactive)"
         return self._render(
             doc_template, mkdocs_features=mkdocs_features, components=components
         )

src/calliope/math/spores.yaml

@@ -19,17 +19,9 @@ global_expressions:
 
 objectives:
   min_spores:
+    description: >-
+      SPORES score minimisation objective, activated for all iterations after the baseline optimisation.
+      The SPORES scores are applied to flow capacity for each technology at each node.
     equations:
-      - expression: sum(flow_cap * spores_score, over=[nodes, techs, carriers]) + $unmet_demand
-    sub_expressions:
-      unmet_demand:
-        - where: "config.ensure_feasibility=True"
-          expression: >-
-            sum(
-              sum(unmet_demand - unused_supply, over=[carriers, nodes])
-              * timestep_weights,
-              over=timesteps
-            ) * bigM
-        - where: "NOT config.ensure_feasibility=True"
-          expression: "0"
+      - expression: sum(flow_cap * spores_score, over=[nodes, techs, carriers])
     sense: minimise