refactor timestamp to extend num

Author: rbs333

docs/user_guide/02_hybrid_queries.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -77,14 +77,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "13:53:37 redisvl.index.index INFO   Index already exists, overwriting.\n"
+      "11:40:25 redisvl.index.index INFO   Index already exists, overwriting.\n"
      ]
     }
    ],
@@ -100,15 +100,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[32m13:53:42\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   Indices:\n",
-      "\u001b[32m13:53:42\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   1. user_queries\n"
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   Indices:\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   1. float64_session\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   2. float64_cache\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   3. float16_cache\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   4. float32_session\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   5. float16_session\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   6. bfloat_session\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   7. float32_cache\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   8. bfloat_cache\n",
+      "\u001b[32m11:03:03\u001b[0m \u001b[34m[RedisVL]\u001b[0m \u001b[1;30mINFO\u001b[0m   9. user_queries\n"
      ]
     }
    ],
@@ -119,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -168,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -203,13 +211,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<table><tr><th>vector_distance</th><th>user</th><th>credit_score</th><th>age</th><th>job</th><th>office_location</th></tr><tr><td>0</td><td>derrick</td><td>low</td><td>14</td><td>doctor</td><td>-122.4194,37.7749</td></tr><tr><td>0</td><td>derrick</td><td>low</td><td>14</td><td>doctor</td><td>-122.4194,37.7749</td></tr><tr><td>0.217882037163</td><td>taimur</td><td>low</td><td>15</td><td>CEO</td><td>-122.0839,37.3861</td></tr><tr><td>0.217882037163</td><td>taimur</td><td>low</td><td>15</td><td>CEO</td><td>-122.0839,37.3861</td></tr><tr><td>0.653301358223</td><td>joe</td><td>medium</td><td>35</td><td>dentist</td><td>-122.0839,37.3861</td></tr><tr><td>0.653301358223</td><td>joe</td><td>medium</td><td>35</td><td>dentist</td><td>-122.0839,37.3861</td></tr></table>"
+       "<table><tr><th>vector_distance</th><th>user</th><th>credit_score</th><th>age</th><th>job</th><th>office_location</th><th>last_updated</th></tr><tr><td>0</td><td>derrick</td><td>low</td><td>14</td><td>doctor</td><td>-122.4194,37.7749</td><td>1741627789</td></tr><tr><td>0.217882037163</td><td>taimur</td><td>low</td><td>15</td><td>CEO</td><td>-122.0839,37.3861</td><td>1742232589</td></tr><tr><td>0.653301358223</td><td>joe</td><td>medium</td><td>35</td><td>dentist</td><td>-122.0839,37.3861</td><td>1742232589</td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -327,13 +335,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<table><tr><th>vector_distance</th><th>user</th><th>credit_score</th><th>age</th><th>job</th><th>office_location</th><th>last_updated</th></tr><tr><td>0</td><td>john</td><td>high</td><td>18</td><td>engineer</td><td>-122.4194,37.7749</td><td>1741627789</td></tr><tr><td>0.109129190445</td><td>tyler</td><td>high</td><td>100</td><td>engineer</td><td>-122.0839,37.3861</td><td>1742232589</td></tr><tr><td>0.266666650772</td><td>nancy</td><td>high</td><td>94</td><td>doctor</td><td>-122.4194,37.7749</td><td>1710696589</td></tr><tr><td>0.653301358223</td><td>joe</td><td>medium</td><td>35</td><td>dentist</td><td>-122.0839,37.3861</td><td>1742232589</td></tr></table>"
+       "<table><tr><th>vector_distance</th><th>user</th><th>credit_score</th><th>age</th><th>job</th><th>office_location</th><th>last_updated</th></tr><tr><td>0</td><td>john</td><td>high</td><td>18</td><td>engineer</td><td>-122.4194,37.7749</td><td>1741627789</td></tr><tr><td>0.217882037163</td><td>taimur</td><td>low</td><td>15</td><td>CEO</td><td>-122.0839,37.3861</td><td>1742232589</td></tr><tr><td>0.653301358223</td><td>joe</td><td>medium</td><td>35</td><td>dentist</td><td>-122.0839,37.3861</td><td>1742232589</td></tr></table>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -346,7 +354,7 @@
    "source": [
     "from redisvl.query.filter import Num\n",
     "\n",
-    "numeric_filter = Num(\"age\") > 15\n",
+    "numeric_filter = Num(\"age\").between(15, 35)\n",
     "\n",
     "v.set_filter(numeric_filter)\n",
     "result_print(index.query(v))"