From 273521a78e3dcbd923c588cdcf144141a817d88c Mon Sep 17 00:00:00 2001
From: Paul Trowbridge <paul@hptrow.me>
Date: Wed, 8 Nov 2023 09:43:55 -0500
Subject: [PATCH] vault backup: 2023-11-08 09:43:55

---
 api.ts | 26 ++++++++++++++++++--------
 1 file changed, 18 insertions(+), 8 deletions(-)

diff --git a/api.ts b/api.ts
index 3288f9d..fdfba5c 100644
--- a/api.ts
+++ b/api.ts
@@ -37,14 +37,16 @@ function apply_guidance(doc: any) {
     let mostRelevantMarketKey = null;
     let mostRelevantMarketSeason = null;
     let mostRelevantMarketSeasonEarly = null;
-    let highestMarketRelevanceLevel = -1;
+    let highestMarketRelevanceLevel = 0;
+    let mostRelevantMarketSource = null;
 
     let mostRelevantCustomerPriceEarly = null;
     let mostRelevantCustomerPriceRecent = null;
     let mostRelevantCustomerKey = null;
     let mostRelevantCustomerSeasonEarly = null;
     let mostRelevantCustomerSeasonRecent = null;
-    let highestCustomerRelevanceLevel = -1;
+    let highestCustomerRelevanceLevel = 0;
+    let mostRelevantCustomerSource = null;
 
     // Function to update price and assign relevance indicator
     function setAnchors(items, channelFirstChar, v1ds, v0ds, histKey) {
@@ -76,10 +78,12 @@ function apply_guidance(doc: any) {
                 if (item.v1ds === v1ds) {
                     marketRelevance = 2; // 'most relevant' because v1ds matches
                     // Check for customer relevance if 'cust' key exists
-                    customerRelevance = item.cust ? 2 : 0
+                    customerRelevance = item.cust ? 3 : 0
                 } else if (item.v0ds === v0ds) {
                     marketRelevance = marketRelevance === 2 ? 2 : 1; // Keep relevance as is if v1ds was matched, otherwise it's just 'relevant'
-                    customerRelevance = item.cust ? 1 : 0
+                    customerRelevance = item.cust ? 2 : 0
+                } else if (item.cust) {
+                    customerRelevance = item.v1ds ? 2 : item.v0ds ? 1 : 0
                 }
             }
 
@@ -93,6 +97,8 @@ function apply_guidance(doc: any) {
                   mostRelevantMarketPrice = item.last_price;
                   mostRelevantMarketPriceEarly = item.early_price;
                   mostRelevantMarketKey = histKey;
+                  mostRelevantMarketSource = item;
+                  delete mostRelevantMarketSource.season;
                   mostRelevantMarketSeason = item.last_season; // Assuming 'season' is the key where the season info is stored
                   mostRelevantMarketSeasonEarly = item.early_season;
             }
@@ -103,6 +109,8 @@ function apply_guidance(doc: any) {
                   mostRelevantCustomerPriceRecent = item.last_price;
                   mostRelevantCustomerPriceEarly = item.early_price;
                   mostRelevantCustomerKey = histKey;
+                  mostRelevantCustomerSource = item;
+                  delete mostRelevantCustomerSource.season;
                   mostRelevantCustomerSeasonRecent = item.last_season; // Assuming 'season' is the key where the season info is stored
                   mostRelevantCustomerSeasonEarly = item.early_season; // Assuming 'season' is the key where the season info is stored
             }
@@ -120,9 +128,10 @@ function apply_guidance(doc: any) {
         doc.mostRelevantMarketPriceInfo = {
             price: mostRelevantMarketPrice,
             price_early: mostRelevantMarketPriceEarly,
-            histKey: mostRelevantMarketKey,
+            source: mostRelevantMarketSource,
             season: mostRelevantMarketSeason,
-            season_early: mostRelevantMarketSeasonEarly
+            season_early: mostRelevantMarketSeasonEarly,
+            relevance: highestMarketRelevanceLevel
         };
     }
 
@@ -131,9 +140,10 @@ function apply_guidance(doc: any) {
         doc.mostRelevantCustomerPriceInfo = {
             price: mostRelevantCustomerPriceRecent,
             price_early: mostRelevantCustomerPriceEarly,
-            histKey: mostRelevantCustomerKey,
+            source: mostRelevantCustomerSource,
             season: mostRelevantCustomerSeasonRecent,
-            season_early: mostRelevantCustomerSeasonEarly
+            season_early: mostRelevantCustomerSeasonEarly,
+            relevance: highestCustomerRelevanceLevel
         };
     }