From 150e2d638ecd5364d1dbffbbb96eab86666a5a99 Mon Sep 17 00:00:00 2001
From: matty <matty@nicecrew.digital>
Date: Sat, 2 Aug 2025 23:24:35 +0000
Subject: [PATCH] add configurable ad-hoc post interval

---
 .env.example |  1 +
 src/main.ts  | 68 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 69 insertions(+)

diff --git a/.env.example b/.env.example
index 87460f4..2069bf3 100644
--- a/.env.example
+++ b/.env.example
@@ -7,4 +7,5 @@ OLLAMA_URL="http://localhost:11434" # OLLAMA connection URL
 OLLAMA_SYSTEM_PROMPT="" # system prompt - used to help tune the responses from the AI
 OLLAMA_MODEL="" # Ollama model for responses e.g dolphin-mistral:latest
 FETCH_INTERVAL="" # interval for fetching new notifications from the instance, in milliseconds, recommend at least 15000
+RANDOM_POST_INTERVAL="" # interval for ad-hoc posts
 INSTANCE_BEARER_TOKEN="" # instance auth/bearer token (check the "verify_credentials" endpoint request headers in Chrome DevTools if on Soapbox)
\ No newline at end of file
diff --git a/src/main.ts b/src/main.ts
index 14dbbe9..864b6b9 100644
--- a/src/main.ts
+++ b/src/main.ts
@@ -39,6 +39,9 @@ export const envConfig = {
     ? parseInt(process.env.FETCH_INTERVAL)
     : 15000,
   bearerToken: process.env.INSTANCE_BEARER_TOKEN || "",
+  adHocPostInterval: process.env.RANDOM_POST_INTERVAL
+    ? parseInt(process.env.RANDOM_POST_INTERVAL)
+    : 3600000,
 };
 
 const ollamaConfig: OllamaConfigOptions = {
@@ -138,6 +141,57 @@ const postReplyToStatus = async (
   }
 };
 
+const createTimelinePost = async () => {
+  const {
+    bearerToken,
+    ollamaModel,
+    ollamaSystemPrompt,
+    ollamaUrl,
+    pleromaInstanceUrl,
+  } = envConfig;
+  const ollamaRequestBody: OllamaRequest = {
+    model: ollamaModel,
+    prompt: "Make a random post about a random topic.",
+    system: ollamaSystemPrompt,
+    stream: false,
+    // options: ollamaConfig,
+  };
+  try {
+    const response = await fetch(`${ollamaUrl}/api/generate`, {
+      method: "POST",
+      body: JSON.stringify(ollamaRequestBody),
+    });
+    if (!response.ok)
+      throw new Error("Error generating ad-hoc Ollama response");
+
+    const ollamaResponse: OllamaResponse = await response.json();
+
+    const newStatusBody: NewStatusBody = {
+      content_type: "text/markdown",
+      status: ollamaResponse.response,
+    };
+
+    const pleromaResponse = await fetch(
+      `${pleromaInstanceUrl}/api/v1/statuses`,
+      {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          Authorization: `Bearer ${bearerToken}`,
+        },
+        body: JSON.stringify(newStatusBody),
+      }
+    );
+
+    if (!pleromaResponse.ok)
+      throw new Error("Error posting ad-hoc Ollama response to Pleroma");
+  } catch (error: unknown) {
+    if (error instanceof Error) {
+      throw new Error(error.message);
+    }
+  }
+};
+
 let notifications = [];
 const beginFetchCycle = async () => {
   setInterval(async () => {
@@ -159,6 +213,18 @@ const beginFetchCycle = async () => {
   }, envConfig.fetchInterval); // lower intervals may cause the bot to respond multiple times to the same message, but we try to mitigate this with the deleteNotification function
 };
 
+const beginStatusPostInterval = async () => {
+  setInterval(async () => {
+    try {
+      createTimelinePost();
+    } catch (error: unknown) {
+      if (error instanceof Error) {
+        throw new Error(error.message);
+      }
+    }
+  }, envConfig.adHocPostInterval);
+};
+
 console.log(
   `Fetching notifications from ${envConfig.pleromaInstanceDomain}, every ${
     envConfig.fetchInterval / 1000
@@ -173,4 +239,6 @@ console.log(
   )}`
 );
 console.log(`System prompt: ${envConfig.ollamaSystemPrompt}`);
+
 await beginFetchCycle();
+await beginStatusPostInterval();