feat: completely remove redis

lib/openai.ts

@@ -1,9 +1,16 @@
 import OpenAI from "https://deno.land/x/openai@v4.52.0/mod.ts";
 import { OPENAI_API_KEY } from "@lib/env.ts";
-import { cacheFunction } from "@lib/cache/cache.ts";
 import { hashString } from "@lib/helpers.ts";
+import { createCache } from "@lib/cache.ts";
 
-const openAI = OPENAI_API_KEY && new OpenAI(OPENAI_API_KEY);
+const openAI = OPENAI_API_KEY && new OpenAI({ apiKey: OPENAI_API_KEY });
+
+interface MovieRecommendation {
+  year: number;
+  title: string;
+}
+
+const cache = createCache<MovieRecommendation[]>();
 
 function extractListFromResponse(response?: string): string[] {
   if (!response) return [];
@@ -138,52 +145,51 @@ return a list of around 20 keywords seperated by commas
     .map((v) => v.replaceAll(" ", "-"));
 }
 
-export const getMovieRecommendations = (keywords: string, exclude: string[]) =>
-  cacheFunction({
-    fn: async () => {
-      if (!openAI) return;
-      const chatCompletion = await openAI.chat.completions.create({
-        model: "gpt-3.5-turbo",
-        messages: [
-          {
-            role: "user",
-            content:
-              `Could you recommend me 10 movies based on the following attributes:
+export const getMovieRecommendations = async (
+  keywords: string,
+  exclude: string[],
+) => {
+  if (!openAI) return;
+  const cacheId = `movierecs:${hashString(`${keywords}:${exclude.join()}`)}`;
+  if (cache.has(cacheId)) return cache.get(cacheId);
+
+  const chatCompletion = await openAI.chat.completions.create({
+    model: "gpt-3.5-turbo",
+    messages: [
+      {
+        role: "user",
+        content:
+          `Could you recommend me 10 movies based on the following attributes:
 
 ${keywords} 
 
 The movies should be similar to but not include ${
-                exclude.join(", ")
-              } or remakes of that.
+            exclude.join(", ")
+          } or remakes of that.
 
 respond with a plain unordered list each item starting with the year the movie was released and then the title of the movie seperated by a -`,
-          },
-        ],
-      });
-
-      const res = chatCompletion.choices[0].message.content?.toLowerCase();
-
-      if (!res) return;
-
-      console.log("REsult:");
-      console.log(res);
-
-      const list = extractListFromResponse(res);
-
-      console.log({ list });
-
-      return res.split("\n").map((entry) => {
-        const [year, ...title] = entry.split("-");
-
-        return {
-          year: parseInt(year.trim()),
-          title: title.join(" ").replaceAll('"', "").trim(),
-        };
-      }).filter((y) => !Number.isNaN(y.year));
-    },
-    id: `openai:movierecs:${hashString(`${keywords}:${exclude.join()}`)}`,
+      },
+    ],
   });
 
+  const res = chatCompletion.choices[0].message.content?.toLowerCase();
+
+  if (!res) return;
+
+  const recommendations = res.split("\n").map((entry) => {
+    const [year, ...title] = entry.split("-");
+
+    return {
+      year: parseInt(year.trim()),
+      title: title.join(" ").replaceAll('"', "").trim(),
+    };
+  }).filter((y) => !Number.isNaN(y.year));
+
+  cache.set(cacheId, recommendations);
+
+  return recommendations;
+};
+
 export async function createTags(content: string) {
   if (!openAI) return;
   const chatCompletion = await openAI.chat.completions.create({