integration: show companies consuming

integration.py

@@ -27,12 +27,11 @@ def main() -> None:
 		output_mats[output['material_ticker']] = ratio
 		print(f'\t{output["material_ticker"]:3}:', ratio)
 
-	companies_produced = companies_consumed = companies_consumed_80 = 0
+	companies_produced = companies_consumed = companies_consumed_only = companies_consumed_own = companies_consumed_80_own = 0
 	into = dict.fromkeys(output_mats.keys(), 0)
 	for company in companies.values():
-		if (co_production := company.get(mat)) is None:
-			continue
-		companies_produced += 1
+		if (co_production := company.get(mat)) is not None:
+			companies_produced += 1
 		consumed = 0
 		for output_mat, per_run_consumption in output_mats.items():
 			if co_consumption := company.get(output_mat):
@@ -41,11 +40,17 @@ def main() -> None:
 				into[output_mat] += total_consumption
 		if consumed > 0:
 			companies_consumed += 1
-			if consumed > 0.8 * co_production['amount']:
-				companies_consumed_80 += 1
+			if co_production is None:
+				companies_consumed_only += 1
+			else:
+				companies_consumed_own += 1
+				if consumed > 0.8 * co_production['amount']:
+					companies_consumed_80_own += 1
 	print(f'{companies_produced} companies producing')
-	print(f'{companies_consumed} companies consuming their own production')
-	print(f'{companies_consumed_80} companies consuming 80%+ of their own production')
+	print(f'{companies_consumed} companies consuming')
+	print(f'{companies_consumed_only} companies consuming without producing any')
+	print(f'{companies_consumed_own} companies consuming their own production')
+	print(f'{companies_consumed_80_own} companies consuming 80%+ of their own production')
 
 	recipes_per_output = collections.defaultdict(int)
 	for recipe in recipes:

mat_competitors.py

@@ -14,7 +14,7 @@ import planet_bases
 def main() -> None:
 	cx, ticker = sys.argv[1:]
 
-	(expertise,) = iter_expertise(ticker)
+	(expertise,) = frozenset(iter_expertise(ticker))
 
 	with open('www/closest.json') as f:
 		planet_ids = {planet_id for planet_id, closest_cx in json.load(f).items() if closest_cx == cx}