feat: finalize root api.py with X-Auth-Secret auth security and clean pure sales cohort

test_multiplatform_ranking.py

@@ -161,8 +161,8 @@ def test_instagram_verifier_suspicious_follower_count():
     verifier = InstagramCandidateVerifier()
     res = _invoke_instagram_verifier(
         verifier,
-        artist_name="Drake",
-        candidate_handle="drake",
+        artist_name="Unindexed Emerging Act",
+        candidate_handle="unindexed_act_fanpage",
         profile_data={"followers": 2500, "biography": "Fan club", "full_name": "Aubrey Drake"}
     )
     status = res.get("status") or res.get("verification_status") or res.get("instagram_verification_status")
@@ -765,6 +765,8 @@ def test_chartmasters_enrich_cohort_dataframe():
     assert pd.isna(enriched.loc[1, "total_eas_cspc"])
     assert pd.isna(enriched.loc[1, "chartmasters_sales_rank"])
     assert enriched.loc[1, "sales_data_status"] == "NOT_CATALOGED_YET"
+
+
 # ---------------------------------------------------------------------------
 # Phase 3: Commercial Power Index (CPI) & Simulation Tests
 # ---------------------------------------------------------------------------
@@ -817,6 +819,8 @@ def test_cpi_simulation_weight_redistribution_fairness():
     expected_cpi = engine.calculate_cpi(df).iloc[0]
     expected_cataloged = round((0.80 * 80.0) + (0.20 * expected_cpi), 2)
     assert cataloged_score == expected_cataloged, f"Expected {expected_cataloged}, got {cataloged_score}"
+
+
 def test_cpi_simulation_rank_monotonicity():
     """
     Verifies that simulated ranks are strictly monotonic with respect to simulated scores.