ILegend Kernel - Jupyter Kernel for Legend

ILegend-JupyterMultiKernel/Demo.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "5469a760-15dd-4de3-9142-6ed6a8e2ba7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style='color:  #AAAAAA;font-family:monospace;'>Total Time Taken - 5.84s\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded into table: 'test3'. RowCount: 100"
+     ]
+    }
+   ],
+   "source": [
+    "load ~/Documents/CSV/startups.csv local::DuckDuckConnection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f0495a36-3743-456f-a108-b8258deb69e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style='color: #AAAAAA;font-family:monospace;'>Total Time Taken - 3.59s\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<details open><summary><b>Database: local::DB</b></summary><div style='margin-left: 20px;'>\n",
+       "<details><summary><b>Table: sample__sport</b></summary><div style='margin-left: 20px;'>\n",
+       "<table border='1' style='border-collapse: collapse;'>\n",
+       "<tr><th>Column Name</th><th>Type</th></tr>\n",
+       "<tr><td>Athlete</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>Age</td><td>BIGINT</td></tr>\n",
+       "<tr><td>Country</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>Year</td><td>BIGINT</td></tr>\n",
+       "<tr><td>Date</td><td>DATE</td></tr>\n",
+       "<tr><td>Sport</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>Gold</td><td>BIGINT</td></tr>\n",
+       "<tr><td>Silver</td><td>BIGINT</td></tr>\n",
+       "<tr><td>Bronze</td><td>BIGINT</td></tr>\n",
+       "</table></div></details>\n",
+       "<details><summary><b>Table: sample__tree</b></summary><div style='margin-left: 20px;'>\n",
+       "<table border='1' style='border-collapse: collapse;'>\n",
+       "<tr><th>Column Name</th><th>Type</th></tr>\n",
+       "<tr><td>city</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>country</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>year</td><td>BIGINT</td></tr>\n",
+       "<tr><td>tree</td><td>BIGINT</td></tr>\n",
+       "</table></div></details>\n",
+       "<details><summary><b>Table: test3</b></summary><div style='margin-left: 20px;'>\n",
+       "<table border='1' style='border-collapse: collapse;'>\n",
+       "<tr><th>Column Name</th><th>Type</th></tr>\n",
+       "<tr><td>Company</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>Sector</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>Stage</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>HeadQuarter</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>Description</td><td>VARCHAR(0)</td></tr>\n",
+       "<tr><td>&quot;TurnOver($)&quot;</td><td>DOUBLE</td></tr>\n",
+       "<tr><td>Year</td><td>BIGINT</td></tr>\n",
+       "</table></div></details>\n",
+       "</div></details>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "db local::DuckDuckConnection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "388a9dcb-02c2-4088-96f2-5706d1704722",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style='color:#AAAAAA;font-family:monospace;'>Total Time Taken - 2.52s\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "                        <iframe src=\"http://localhost:8051\" \n",
+       "                                width=\"100%\" \n",
+       "                                height=\"450\" \n",
+       "                                style=\"border: none;\"></iframe>\n",
+       "                    "
+      ],
+      "text/plain": [
+       "                     Company              Sector  ...   TurnOver($)  Year\n",
+       "0                   Eunimart          E-Commerce  ...  3.380110e+07  2018\n",
+       "1               Hyperdata.IO           Marketing  ...  4.555556e+06  2018\n",
+       "2                  Recordent             FinTech  ...  6.972143e+08  2020\n",
+       "3             Super Surfaces              Design  ...  5.000000e+05  2020\n",
+       "4               Freyr Energy    Renewable Energy  ...  2.000000e+06  2021\n",
+       "5                   Eunimart          E-Commerce  ...  7.000000e+05  2021\n",
+       "6   Sreyas Holistic Remedies            Med Tech  ...  1.000000e+06  2020\n",
+       "7                   Codingal              EdTech  ...  5.600000e+05  2020\n",
+       "8            Vistaar Finance  Financial Services  ...  3.000000e+07  2020\n",
+       "9                   Quintype   Content Marketing  ...  3.500000e+06  2020\n",
+       "10                   Cityflo    Travel/Transport  ...  7.000000e+06  2020\n",
+       "\n",
+       "[11 rows x 7 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#>{local::DuckDuckDatabase.test3}#->\n",
+    "filter(x|$x.HeadQuarter=='Hyderabad')->from(local::DuckDuckRuntime)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "1cc1070b-de83-4259-b048-e40ab31672d1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style='color:#AAAAAA;font-family:monospace;'>Total Time Taken - 2.74s\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div style='color:#AAAAAA;font-family:monospace;'>DataFrame variable 'my_df' stored in the Python Environment</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#>{local::DuckDuckDatabase.test3}#->filter(x|$x.HeadQuarter=='Hyderabad')->from(local::DuckDuckRuntime) --var my_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "499fbbc7-64d8-4fde-ab43-6641e7120488",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Company</th>\n",
+       "      <th>Sector</th>\n",
+       "      <th>Stage</th>\n",
+       "      <th>HeadQuarter</th>\n",
+       "      <th>Description</th>\n",
+       "      <th>TurnOver($)</th>\n",
+       "      <th>Year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Eunimart</td>\n",
+       "      <td>E-Commerce</td>\n",
+       "      <td>Seed</td>\n",
+       "      <td>Hyderabad</td>\n",
+       "      <td>Eunimart is a one stop solution for merchants ...</td>\n",
+       "      <td>3.380110e+07</td>\n",
+       "      <td>2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Hyperdata.IO</td>\n",
+       "      <td>Marketing</td>\n",
+       "      <td>Angel</td>\n",
+       "      <td>Hyderabad</td>\n",
+       "      <td>Hyperdata combines advanced machine learning w...</td>\n",
+       "      <td>4.555556e+06</td>\n",
+       "      <td>2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Recordent</td>\n",
+       "      <td>FinTech</td>\n",
+       "      <td>Seed</td>\n",
+       "      <td>Hyderabad</td>\n",
+       "      <td>A technology-enabled platform that helps MSMEs...</td>\n",
+       "      <td>6.972143e+08</td>\n",
+       "      <td>2020</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Surfaces</td>\n",
+       "      <td>Design</td>\n",
+       "      <td>Series A</td>\n",
+       "      <td>Hyderabad</td>\n",
+       "      <td>A design solution based company</td>\n",
+       "      <td>5.000000e+05</td>\n",
+       "      <td>2020</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Freyr Energy</td>\n",
+       "      <td>Renewable Energy</td>\n",
+       "      <td>Undisclosed</td>\n",
+       "      <td>Hyderabad</td>\n",
+       "      <td>Freyr Energy is a company that provides full s...</td>\n",
+       "      <td>2.000000e+06</td>\n",
+       "      <td>2021</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Company            Sector        Stage HeadQuarter  \\\n",
+       "0        Eunimart        E-Commerce         Seed   Hyderabad   \n",
+       "1    Hyperdata.IO         Marketing        Angel   Hyderabad   \n",
+       "2       Recordent           FinTech         Seed   Hyderabad   \n",
+       "3  Super Surfaces            Design     Series A   Hyderabad   \n",
+       "4    Freyr Energy  Renewable Energy  Undisclosed   Hyderabad   \n",
+       "\n",
+       "                                         Description   TurnOver($)  Year  \n",
+       "0  Eunimart is a one stop solution for merchants ...  3.380110e+07  2018  \n",
+       "1  Hyperdata combines advanced machine learning w...  4.555556e+06  2018  \n",
+       "2  A technology-enabled platform that helps MSMEs...  6.972143e+08  2020  \n",
+       "3                    A design solution based company  5.000000e+05  2020  \n",
+       "4  Freyr Energy is a company that provides full s...  2.000000e+06  2021  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Kernel: Python\n",
+    "#Code in Python below. Don't Remove this Header!!\n",
+    "my_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5d9af73-ae1e-447c-86d8-cf8448ab0065",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ILegend",
+   "language": "ilegend",
+   "name": "ilegend_kernel"
+  },
+  "language_info": {
+   "codemirror_mode": "ilegend",
+   "file_extension": ".ilgd",
+   "mimetype": "text/x-ilegend",
+   "name": "ilegend"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

ILegend-JupyterMultiKernel/Kernel/LICENSE

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+Copyright (c) 2025 Shanmukh raj MSS
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

ILegend-JupyterMultiKernel/Kernel/Makefile

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+
+install:
+	pip install -e .
+	python -m ilegend_kernel.install
+
+
+
+clean:
+	pip uninstall ilegend_kernel
+	jupyter kernelspec remove ilegend_kernel

ILegend-JupyterMultiKernel/Kernel/README.md

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+
+# Jupyter-ILegend - A Jupyter Kernel for ILegend Services
+
+
+## Installation
+
+### Requirements
+
+- At least **Python** 3.5
+  - Tested with Python 3.12.2
+- **Jupyter** installation with JupyterLab and/or Juypter Notebook
+  - Tested with
+    - jupyter_core: 5.7.2
+    - jupyterlab: 4.x.x
+    - notebook: 7.x.x
+
+
+## Development
+
+### Development Install
+
+1. Download the repository.
+2. Change to the root directory of the repository.
+3. `pip install .`
+4. Install the kernelspec:
+    - `python -m ilegend_kernel.install`

ILegend-JupyterMultiKernel/Kernel/ilegend_kernel/__init__.py

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+
+from .kernel import ILegendRouterKernel
+__version__ = ILegendRouterKernel.implementation_version

ILegend-JupyterMultiKernel/Kernel/ilegend_kernel/__main__.py

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+
+from ipykernel.kernelapp import IPKernelApp
+from .kernel import ILegendRouterKernel
+
+IPKernelApp.launch_instance(kernel_class=ILegendRouterKernel)

ILegend-JupyterMultiKernel/Kernel/ilegend_kernel/ilegend_kernel_config.py

@@ -0,0 +1 @@
+c = get_config()