Merge branch 'main' of https://github.com/Dhravya/supermemory into new-uinew-ui

1 files changed, 139 insertions, 0 deletions

diff --git a/apps/web/src/components/QueryAI.tsx b/apps/web/src/components/QueryAI.tsx
new file mode 100644
index 00000000..894b5d2d
--- /dev/null
+++ b/apps/web/src/components/QueryAI.tsx
@@ -0,0 +1,139 @@
+"use client";
+
+import { Label } from "./ui/label";
+import React, { useEffect, useState } from "react";
+import { Input } from "./ui/input";
+import { Button } from "./ui/button";
+import SearchResults from "./SearchResults";
+
+function QueryAI() {
+  const [searchResults, setSearchResults] = useState<string[]>([]);
+  const [isAiLoading, setIsAiLoading] = useState(false);
+
+  const [aiResponse, setAIResponse] = useState("");
+  const [input, setInput] = useState("");
+  const [toBeParsed, setToBeParsed] = useState("");
+
+  const handleStreamData = (newChunk: string) => {
+    // Append the new chunk to the existing data to be parsed
+    setToBeParsed((prev) => prev + newChunk);
+  };
+
+  useEffect(() => {
+    // Define a function to try parsing the accumulated data
+    const tryParseAccumulatedData = () => {
+      // Attempt to parse the "toBeParsed" state as JSON
+      try {
+        // Split the accumulated data by the known delimiter "\n\n"
+        const parts = toBeParsed.split("\n\n");
+        let remainingData = "";
+
+        // Process each part to extract JSON objects
+        parts.forEach((part, index) => {
+          try {
+            const parsedPart = JSON.parse(part.replace("data: ", "")); // Try to parse the part as JSON
+
+            // If the part is the last one and couldn't be parsed, keep it to  accumulate more data
+            if (index === parts.length - 1 && !parsedPart) {
+              remainingData = part;
+            } else if (parsedPart && parsedPart.response) {
+              // If the part is parsable and has the "response" field, update the AI response state
+              setAIResponse((prev) => prev + parsedPart.response);
+            }
+          } catch (error) {
+            // If parsing fails and it's not the last part, it's a malformed JSON
+            if (index !== parts.length - 1) {
+              console.error("Malformed JSON part: ", part);
+            } else {
+              // If it's the last part, it may be incomplete, so keep it
+              remainingData = part;
+            }
+          }
+        });
+
+        // Update the toBeParsed state to only contain the unparsed remainder
+        if (remainingData !== toBeParsed) {
+          setToBeParsed(remainingData);
+        }
+      } catch (error) {
+        console.error("Error parsing accumulated data: ", error);
+      }
+    };
+
+    // Call the parsing function if there's data to be parsed
+    if (toBeParsed) {
+      tryParseAccumulatedData();
+    }
+  }, [toBeParsed]);
+
+  const getSearchResults = async (e: React.FormEvent<HTMLFormElement>) => {
+    e.preventDefault();
+    setIsAiLoading(true);
+
+    const sourcesResponse = await fetch(
+      `/api/query?sourcesOnly=true&q=${input}`,
+    );
+
+    const sourcesInJson = (await sourcesResponse.json()) as {
+      ids: string[];
+    };
+
+    setSearchResults(sourcesInJson.ids);
+
+    const response = await fetch(`/api/query?q=${input}`);
+
+    if (response.status !== 200) {
+      setIsAiLoading(false);
+      return;
+    }
+
+    if (response.body) {
+      let reader = response.body.getReader();
+      let decoder = new TextDecoder("utf-8");
+      let result = "";
+
+      // @ts-ignore
+      reader.read().then(function processText({ done, value }) {
+        if (done) {
+          //   setSearchResults(JSON.parse(result.replace('data: ', '')));
+          //   setIsAiLoading(false);
+          return;
+        }
+
+        handleStreamData(decoder.decode(value));
+
+        return reader.read().then(processText);
+      });
+    }
+  };
+
+  return (
+    <div className="mx-auto w-full max-w-2xl">
+      <form onSubmit={async (e) => await getSearchResults(e)} className="mt-8">
+        <Label htmlFor="searchInput">Ask your SuperMemory</Label>
+        <div className="flex flex-col space-y-2 md:w-full md:flex-row md:items-center md:space-x-2 md:space-y-0">
+          <Input
+            value={input}
+            onChange={(e) => setInput(e.target.value)}
+            placeholder="Search using AI... ✨"
+            id="searchInput"
+          />
+          <Button
+            disabled={isAiLoading}
+            className="max-w-min md:w-full"
+            type="submit"
+            variant="default"
+          >
+            Ask AI
+          </Button>
+        </div>
+      </form>
+
+      {searchResults && (
+        <SearchResults aiResponse={aiResponse} sources={searchResults} />
+      )}
+    </div>
+  );
+}
+
+export default QueryAI;