add auto request feature

examples/fixing_bug_example.ipynb

@@ -0,0 +1,240 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1114df89",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'printa' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[4], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# print \"Hello, World!\"\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[43mprinta\u001b[49m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHello, World!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'printa' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# print \"Hello, World!\"\n",
+    "printa(\"Hello, World!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "88fe6fb4",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "expected ':' (3930893725.py, line 1)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;36m  Cell \u001b[1;32mIn[5], line 1\u001b[1;36m\u001b[0m\n\u001b[1;33m    if x == 5\u001b[0m\n\u001b[1;37m             ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m expected ':'\n"
+     ]
+    }
+   ],
+   "source": [
+    "if x == 5\n",
+    "    print(\"x == 5\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "b73b834e",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'y' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[30], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m10\u001b[39m\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43my\u001b[49m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "x = 10\n",
+    "print(y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "72409629",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'calculate_sum' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[39], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mcalculate_sum\u001b[49m(\u001b[38;5;241m5\u001b[39m, \u001b[38;5;241m10\u001b[39m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'calculate_sum' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "calculate_sum(5, 10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "c0c74cd8",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "can only concatenate str (not \"int\") to str",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[40], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHello\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m      2\u001b[0m y \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m5\u001b[39m\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m)\n",
+      "\u001b[1;31mTypeError\u001b[0m: can only concatenate str (not \"int\") to str"
+     ]
+    }
+   ],
+   "source": [
+    "x = \"Hello\"\n",
+    "y = 5\n",
+    "print(x + y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "3315c57c",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'dict' object has no attribute 'name'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[44], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m person \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAlice\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mage\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m30\u001b[39m}\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mperson\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mname\u001b[49m)\n",
+      "\u001b[1;31mAttributeError\u001b[0m: 'dict' object has no attribute 'name'"
+     ]
+    }
+   ],
+   "source": [
+    "person = {\"name\": \"Alice\", \"age\": 30}\n",
+    "print(person.name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "bcd5e7b4",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ZeroDivisionError",
+     "evalue": "division by zero",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[42], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m10\u001b[39m\n\u001b[0;32m      2\u001b[0m y \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m----> 3\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\n",
+      "\u001b[1;31mZeroDivisionError\u001b[0m: division by zero"
+     ]
+    }
+   ],
+   "source": [
+    "x = 10\n",
+    "y = 0\n",
+    "result = x / y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1eb252b2",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'city'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[1], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m my_dict \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAlice\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mage\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m30\u001b[39m}\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mmy_dict\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcity\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m)\n",
+      "\u001b[1;31mKeyError\u001b[0m: 'city'"
+     ]
+    }
+   ],
+   "source": [
+    "my_dict = {\"name\": \"Alice\", \"age\": 30}\n",
+    "print(my_dict[\"city\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "b076aeb0",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ImportError",
+     "evalue": "cannot import name 'load_adigits' from 'sklearn.datasets' (C:\\Users\\redam\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\datasets\\__init__.py)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[30], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# load Digits Dataset from sklearn\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m load_adigits\n\u001b[0;32m      3\u001b[0m digits \u001b[38;5;241m=\u001b[39m load_adigits()\n",
+      "\u001b[1;31mImportError\u001b[0m: cannot import name 'load_adigits' from 'sklearn.datasets' (C:\\Users\\redam\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\datasets\\__init__.py)"
+     ]
+    }
+   ],
+   "source": [
+    "# load Digits Dataset from sklearn\n",
+    "from sklearn.datasets import load_adigits\n",
+    "digits = load_adigits()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bf5758fd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

src/animation.js

@@ -66,34 +66,7 @@ animation.startWaitingAnimation = (activeTextarea) => {
   // Add a new <style> element to the <head> element
   document.head.appendChild(styleElement);
 
-  // get cursor element
-  const cursorElement = activeTextarea.querySelector('div.CodeMirror-cursor')
-  const style = window.getComputedStyle(cursorElement);
-  // Which line
-  const lineIndex = Math.round(parseFloat(style.getPropertyValue('top')) / 17)
-  // Obtain element for all line
-  const linesElement = activeTextarea.getElementsByClassName('CodeMirror-line')
-  // the code span elements for this active line
-  const currectLineSpanList = linesElement[lineIndex].querySelectorAll('span span')
-
-  // deprecate：Set the animated font dom element when it waits 
-  // As a code hint carrier
-  const animationElement = document.createElement('span');
-
-  animationElement.classList.add("per-insert-code")
-  animationElement.style.color = 'grey';
-
-  // Insert gray code hints, If the active line has no span tag
-  if (currectLineSpanList.length == 0) {
-    const withAllCodeSpan = linesElement[lineIndex].querySelectorAll('span')
-    // creates an element in a unique code carrier, as long as the mouse exists, the code carrier exists
-    withAllCodeSpan[withAllCodeSpan.length - 1].appendChild(animationElement)
-  } else {
-    // Insert new hint code in the last code span
-    const withAllCodeSpan = linesElement[lineIndex].childNodes
-    withAllCodeSpan[withAllCodeSpan.length - 1].insertAdjacentElement('afterend', animationElement);
-  }
-
+
 
   // Waiting steps, 0.333 seconds per step
   let timeLeft = 90;
@@ -107,7 +80,7 @@ animation.startWaitingAnimation = (activeTextarea) => {
     }
 
   }, 333)
-  return [animationInterval, animationElement, activeCellParentElement]
+  return [animationInterval, activeCellParentElement]
 }
 
 

src/api.js

@@ -5,7 +5,7 @@ const api = {
 
 
 const cleanUpBigcodeOutput = (suggestion, isLastLine) => {
-    suggestion = suggestion.replace("# -*- coding: utf-8 -*-\n\n", "")
+    suggestion = suggestion.replace("# -*- coding: utf-8 -*-\n\n", "").replace(/\t/g, '    ')
     let outPutIndex = suggestion.indexOf('<jupyter_output>')
 
     if (outPutIndex != -1){
@@ -83,8 +83,10 @@ api.sendToBigcode = async (code, url, token, isLastLine) => {
         stream: false,
         parameters: {
             return_full_text: false,
-            stop: ["<jupyter_output>"]
-        }
+            stop: ["<jupyter_output>"],
+            max_new_tokens: 20
+        },
+
     }
 
     if (!isLastLine){