From 63643299f8b6fb54e561c12add05a536ca91b09d Mon Sep 17 00:00:00 2001
From: arthurgarmider-igz
 <69186266+arthurgarmider-igz@users.noreply.github.com>
Date: Sun, 29 Nov 2020 20:06:17 +0200
Subject: [PATCH 1/4] Grafana with grafwiz

---
 .../grafana-grafwiz.ipynb                     | 266 ++++++++++++++++++
 1 file changed, 266 insertions(+)
 create mode 100644 data-ingestion-and-preparation/grafana-grafwiz.ipynb

diff --git a/data-ingestion-and-preparation/grafana-grafwiz.ipynb b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
new file mode 100644
index 00000000..fb071f25
--- /dev/null
+++ b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
@@ -0,0 +1,266 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Make sure grafwiz and v3io_frames are installed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install git+https://github.com/v3io/grafwiz --upgrade"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install v3io_frames"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Add environment configurations and import the necessary libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "grafana_url = 'http://grafana'\n",
+    "v3io_container = 'bigdata'\n",
+    "stocks_kv_table = 'stocks_kv_table'\n",
+    "stocks_tsdb_table = 'stocks_tsdb_table'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from grafwiz import *\n",
+    "import os\n",
+    "import v3io_frames as v3f\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Generate data for the dataframe"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Date that will serve as an index for the time series and additional parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "import datetime\n",
+    "def generate_date(rows):\n",
+    "    datetimes = [datetime.datetime.today() + (random.random() * datetime.timedelta(days=1)) for i in range(rows)]\n",
+    "    return datetimes\n",
+    "\n",
+    "def generate_volume_price(rows):\n",
+    "    volume = [random.randint(0,10000) for i in range(rows)]\n",
+    "    return volume\n",
+    "\n",
+    "rows = 345\n",
+    "time = generate_date(rows)\n",
+    "volume = generate_volume_price(rows)\n",
+    "price = generate_volume_price(rows)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create a dataframe out of the generated index and add an index to the dataframe in order to make it accessible for tsdb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stocks_df = pd.DataFrame(\n",
+    "    {'last_updated': time,\n",
+    "     'volume': volume,\n",
+    "     'price': price\n",
+    "    })\n",
+    "stocks_df['symbol'] = 'GOOGL'\n",
+    "stocks_df = stocks_df.sort_values('last_updated')\n",
+    "\n",
+    "stocks_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stocks_df = stocks_df.reset_index()\n",
+    "stocks_df = stocks_df.set_index(['last_updated', 'symbol'])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create a client for v3io_frames create table and persist the dataframe in tsdb"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "client = v3f.Client('framesd:8081',container='bigdata')\n",
+    "client.create(backend='tsdb', table=stocks_tsdb_table, rate='1/m', if_exists=1)\n",
+    "client.write(backend='tsdb', table=stocks_tsdb_table, dfs=stocks_df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Update the kv table in order of rows arrival to simulate real time changing data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "expr_template = \"symbol='{symbol}';price={price};volume={volume};last_updated='{last_updated}'\"\n",
+    "# update NoSQL table with stock data\n",
+    "for idx, record in stocks_df.iterrows():\n",
+    "    stock = {'symbol': sym, 'price': record['price'], 'volume': record['volume'], 'last_updated': record['last_updated']}\n",
+    "    expr = expr_template.format(**stock)\n",
+    "    client.execute('kv', stocks_kv_table, 'update', args={'key': sym, 'expression': expr})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create a Datasource for grafana table and check that kv table exists and accessible"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create datasources\n",
+    "DataSource(name='Iguazio').deploy(grafana_url, use_auth=True)\n",
+    "\n",
+    "# Verify the KV table can be shown\n",
+    "client = v3f.Client('framesd:8081', container=v3io_container)\n",
+    "client.execute(backend='kv', table=stocks_kv_table, command='infer')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create a Dashboard define its datasource and then create a dashboard template"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create grafana dashboard\n",
+    "dash = Dashboard(\"stocks\", start='now-7d', dataSource='Iguazio')\n",
+    "\n",
+    "# Add a symbol combo box (template) with data from the stocks table\n",
+    "dash.template(name=\"SYMBOL\", label=\"Symbol\", query=\"fields=symbol;table=stocks/stocks_kv;backend=kv;container=bigdata\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create a table and 2 charts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a table and log viewer in one row\n",
+    "tbl = Table('Current Stocks Value', span=12).source(table=stocks_kv_table,fields=['symbol','volume', 'price', 'last_updated'],container=v3io_container)\n",
+    "dash.row([tbl])\n",
+    "\n",
+    "# Create 2 charts on the second row\n",
+    "metrics_row = [Graph(metric).series(table=stocks_tsdb_table, fields=[metric], filter='symbol==\"$SYMBOL\"',container=v3io_container) for metric in ['price','volume']]\n",
+    "metrics_row.append(Graph('price').series(table=stocks_tsdb_table, fields=['price'], filter='symbol==\"$SYMBOL\"', container=v3io_container))\n",
+    "dash.row(metrics_row)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Deploy to Grafana\n",
+    "dash.deploy(grafana_url)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:root] *",
+   "language": "python",
+   "name": "conda-root-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

From 18e0fe323501417096071544e86cbc5fa617d768 Mon Sep 17 00:00:00 2001
From: arthurgarmider-igz
 <69186266+arthurgarmider-igz@users.noreply.github.com>
Date: Sun, 6 Dec 2020 23:22:25 +0200
Subject: [PATCH 2/4] Update grafana file

---
 .../grafana-grafwiz.ipynb                     | 29 +++++++------------
 1 file changed, 10 insertions(+), 19 deletions(-)

diff --git a/data-ingestion-and-preparation/grafana-grafwiz.ipynb b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
index fb071f25..01646634 100644
--- a/data-ingestion-and-preparation/grafana-grafwiz.ipynb
+++ b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Make sure grafwiz and v3io_frames are installed"
+    "### Make sure grafwiz is installed"
    ]
   },
   {
@@ -16,15 +16,6 @@
     "!pip install git+https://github.com/v3io/grafwiz --upgrade"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install v3io_frames"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -39,9 +30,10 @@
    "outputs": [],
    "source": [
     "grafana_url = 'http://grafana'\n",
-    "v3io_container = 'bigdata'\n",
+    "v3io_container = 'users'\n",
     "stocks_kv_table = 'stocks_kv_table'\n",
-    "stocks_tsdb_table = 'stocks_tsdb_table'"
+    "stocks_tsdb_table = 'stocks_tsdb_table'\n",
+    "rows = 345"
    ]
   },
   {
@@ -51,7 +43,6 @@
    "outputs": [],
    "source": [
     "from grafwiz import *\n",
-    "import os\n",
     "import v3io_frames as v3f\n",
     "import pandas as pd"
    ]
@@ -86,7 +77,7 @@
     "    volume = [random.randint(0,10000) for i in range(rows)]\n",
     "    return volume\n",
     "\n",
-    "rows = 345\n",
+    "\n",
     "time = generate_date(rows)\n",
     "volume = generate_volume_price(rows)\n",
     "price = generate_volume_price(rows)"
@@ -123,7 +114,7 @@
    "outputs": [],
    "source": [
     "stocks_df = stocks_df.reset_index()\n",
-    "stocks_df = stocks_df.set_index(['last_updated', 'symbol'])\n"
+    "stocks_df = stocks_df.set_index(['last_updated'])\n"
    ]
   },
   {
@@ -139,7 +130,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "client = v3f.Client('framesd:8081',container='bigdata')\n",
+    "client = v3f.Client('framesd:8081',container=v3io_container)\n",
     "client.create(backend='tsdb', table=stocks_tsdb_table, rate='1/m', if_exists=1)\n",
     "client.write(backend='tsdb', table=stocks_tsdb_table, dfs=stocks_df)"
    ]
@@ -160,7 +151,7 @@
     "expr_template = \"symbol='{symbol}';price={price};volume={volume};last_updated='{last_updated}'\"\n",
     "# update NoSQL table with stock data\n",
     "for idx, record in stocks_df.iterrows():\n",
-    "    stock = {'symbol': sym, 'price': record['price'], 'volume': record['volume'], 'last_updated': record['last_updated']}\n",
+    "    stock = {'symbol': sym, 'price': record['price'], 'volume': record['volume'], 'last_updated': record.index[0]}\n",
     "    expr = expr_template.format(**stock)\n",
     "    client.execute('kv', stocks_kv_table, 'update', args={'key': sym, 'expression': expr})"
    ]
@@ -200,10 +191,10 @@
    "outputs": [],
    "source": [
     "# Create grafana dashboard\n",
-    "dash = Dashboard(\"stocks\", start='now-7d', dataSource='Iguazio')\n",
+    "dash = Dashboard(\"stocks\", start='now-1d', dataSource='Iguazio')\n",
     "\n",
     "# Add a symbol combo box (template) with data from the stocks table\n",
-    "dash.template(name=\"SYMBOL\", label=\"Symbol\", query=\"fields=symbol;table=stocks/stocks_kv;backend=kv;container=bigdata\")"
+    "dash.template(name=\"SYMBOL\", label=\"Symbol\", query=f'fields=symbol;table=stocks/stocks_kv;backend=kv;container={v3io_container}')"
    ]
   },
   {

From 65888f97e893e1ae6b28649df1a3a533a3731dcd Mon Sep 17 00:00:00 2001
From: arthurgarmider-igz
 <69186266+arthurgarmider-igz@users.noreply.github.com>
Date: Sun, 13 Dec 2020 20:55:13 +0200
Subject: [PATCH 3/4] Modification to a local user

---
 .../grafana-grafwiz.ipynb                     | 50 ++++++++++---------
 1 file changed, 26 insertions(+), 24 deletions(-)

diff --git a/data-ingestion-and-preparation/grafana-grafwiz.ipynb b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
index 01646634..80e09699 100644
--- a/data-ingestion-and-preparation/grafana-grafwiz.ipynb
+++ b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
@@ -20,7 +20,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Add environment configurations and import the necessary libraries"
+    "### Add environment configurations and import the necessary libraries\n",
+    "* Please make sure you have a Grafana service, in order to create one, please go to Iguazio dashboard -> Service, Create new service\n",
+    "* To retrieve the url of Grafana service please use \"API\" tab, in the services dashboard"
    ]
   },
   {
@@ -29,11 +31,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "grafana_url = 'http://grafana'\n",
+    "import os\n",
+    "\n",
+    "grafana_url = 'http://grafana' \n",
     "v3io_container = 'users'\n",
-    "stocks_kv_table = 'stocks_kv_table'\n",
-    "stocks_tsdb_table = 'stocks_tsdb_table'\n",
-    "rows = 345"
+    "stocks_kv_table = os.path.join(os.getenv(\"V3IO_USERNAME\"),'stocks_kv_table')\n",
+    "stocks_tsdb_table = os.path.join(os.getenv(\"V3IO_USERNAME\"),'stocks_tsdb_table')\n",
+    "sym = 'XYZ'\n",
+    "rows = 3450\n"
    ]
   },
   {
@@ -70,17 +75,16 @@
     "import random\n",
     "import datetime\n",
     "def generate_date(rows):\n",
-    "    datetimes = [datetime.datetime.today() + (random.random() * datetime.timedelta(days=1)) for i in range(rows)]\n",
+    "    datetimes = [datetime.datetime.today() - (random.random() * datetime.timedelta(minutes=15)) for i in range(rows)]\n",
     "    return datetimes\n",
     "\n",
     "def generate_volume_price(rows):\n",
     "    volume = [random.randint(0,10000) for i in range(rows)]\n",
     "    return volume\n",
     "\n",
-    "\n",
     "time = generate_date(rows)\n",
     "volume = generate_volume_price(rows)\n",
-    "price = generate_volume_price(rows)"
+    "price = generate_volume_price(rows)\n"
    ]
   },
   {
@@ -101,7 +105,7 @@
     "     'volume': volume,\n",
     "     'price': price\n",
     "    })\n",
-    "stocks_df['symbol'] = 'GOOGL'\n",
+    "stocks_df['symbol'] = sym\n",
     "stocks_df = stocks_df.sort_values('last_updated')\n",
     "\n",
     "stocks_df"
@@ -113,8 +117,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "stocks_df = stocks_df.reset_index()\n",
-    "stocks_df = stocks_df.set_index(['last_updated'])\n"
+    "stocks_df_tsdb = stocks_df\n",
+    "stocks_df_tsdb = stocks_df.reset_index()\n",
+    "stocks_df_tsdb = stocks_df.set_index(['last_updated'])\n"
    ]
   },
   {
@@ -132,7 +137,7 @@
    "source": [
     "client = v3f.Client('framesd:8081',container=v3io_container)\n",
     "client.create(backend='tsdb', table=stocks_tsdb_table, rate='1/m', if_exists=1)\n",
-    "client.write(backend='tsdb', table=stocks_tsdb_table, dfs=stocks_df)"
+    "client.write(backend='tsdb', table=stocks_tsdb_table, dfs=stocks_df_tsdb)"
    ]
   },
   {
@@ -148,10 +153,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "expr_template = \"symbol='{symbol}';price={price};volume={volume};last_updated='{last_updated}'\"\n",
+    "expr_template = \"symbol='{symbol}';price='{price}';volume='{volume}';last_updated='{last_updated}'\"\n",
     "# update NoSQL table with stock data\n",
     "for idx, record in stocks_df.iterrows():\n",
-    "    stock = {'symbol': sym, 'price': record['price'], 'volume': record['volume'], 'last_updated': record.index[0]}\n",
+    "    stock = {'symbol': sym, 'price': record['price'], 'volume': record['volume'], 'last_updated': record['last_updated']}\n",
     "    expr = expr_template.format(**stock)\n",
     "    client.execute('kv', stocks_kv_table, 'update', args={'key': sym, 'expression': expr})"
    ]
@@ -181,7 +186,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Create a Dashboard define its datasource and then create a dashboard template"
+    "#### Create a Dashboard define its datasource"
    ]
   },
   {
@@ -191,17 +196,15 @@
    "outputs": [],
    "source": [
     "# Create grafana dashboard\n",
-    "dash = Dashboard(\"stocks\", start='now-1d', dataSource='Iguazio')\n",
-    "\n",
-    "# Add a symbol combo box (template) with data from the stocks table\n",
-    "dash.template(name=\"SYMBOL\", label=\"Symbol\", query=f'fields=symbol;table=stocks/stocks_kv;backend=kv;container={v3io_container}')"
+    "dash = Dashboard(\"stocks\", start='now', dataSource='Iguazio')\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Create a table and 2 charts"
+    "#### Create a table and 2 graphs\n",
+    "Please note that you have to wait for couple of minutes to see the graphs being updated"
    ]
   },
   {
@@ -214,11 +217,10 @@
     "tbl = Table('Current Stocks Value', span=12).source(table=stocks_kv_table,fields=['symbol','volume', 'price', 'last_updated'],container=v3io_container)\n",
     "dash.row([tbl])\n",
     "\n",
-    "# Create 2 charts on the second row\n",
-    "metrics_row = [Graph(metric).series(table=stocks_tsdb_table, fields=[metric], filter='symbol==\"$SYMBOL\"',container=v3io_container) for metric in ['price','volume']]\n",
-    "metrics_row.append(Graph('price').series(table=stocks_tsdb_table, fields=['price'], filter='symbol==\"$SYMBOL\"', container=v3io_container))\n",
-    "dash.row(metrics_row)\n",
+    "# Metrics row will\n",
+    "metrics_row = [Graph(metric).series(table=stocks_tsdb_table, fields=[metric], container=v3io_container) for metric in ['price','volume']]\n",
     "\n",
+    "dash.row(metrics_row)\n",
     "\n"
    ]
   },

From 02eb4d4850ab9a94de7181f2e5888f6a444d1a7c Mon Sep 17 00:00:00 2001
From: arthurgarmider-igz
 <69186266+arthurgarmider-igz@users.noreply.github.com>
Date: Sun, 20 Dec 2020 18:18:05 +0200
Subject: [PATCH 4/4] modify to work numpy to evenly distribute values

---
 .../grafana-grafwiz.ipynb                     | 33 +++++++++++--------
 1 file changed, 19 insertions(+), 14 deletions(-)

diff --git a/data-ingestion-and-preparation/grafana-grafwiz.ipynb b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
index 80e09699..8cf4ebf4 100644
--- a/data-ingestion-and-preparation/grafana-grafwiz.ipynb
+++ b/data-ingestion-and-preparation/grafana-grafwiz.ipynb
@@ -38,7 +38,7 @@
     "stocks_kv_table = os.path.join(os.getenv(\"V3IO_USERNAME\"),'stocks_kv_table')\n",
     "stocks_tsdb_table = os.path.join(os.getenv(\"V3IO_USERNAME\"),'stocks_tsdb_table')\n",
     "sym = 'XYZ'\n",
-    "rows = 3450\n"
+    "rows = 3450"
    ]
   },
   {
@@ -74,17 +74,16 @@
    "source": [
     "import random\n",
     "import datetime\n",
+    "import numpy as np\n",
+    "\n",
     "def generate_date(rows):\n",
+    "    \n",
     "    datetimes = [datetime.datetime.today() - (random.random() * datetime.timedelta(minutes=15)) for i in range(rows)]\n",
     "    return datetimes\n",
     "\n",
-    "def generate_volume_price(rows):\n",
-    "    volume = [random.randint(0,10000) for i in range(rows)]\n",
-    "    return volume\n",
-    "\n",
-    "time = generate_date(rows)\n",
-    "volume = generate_volume_price(rows)\n",
-    "price = generate_volume_price(rows)\n"
+    "time = sorted(generate_date(rows))\n",
+    "volume = np.random.randint(low=100, high=10000, size=rows)\n",
+    "price = np.cumsum([0.0001] * rows + np.random.random(rows))\n"
    ]
   },
   {
@@ -107,7 +106,6 @@
     "    })\n",
     "stocks_df['symbol'] = sym\n",
     "stocks_df = stocks_df.sort_values('last_updated')\n",
-    "\n",
     "stocks_df"
    ]
   },
@@ -119,7 +117,7 @@
    "source": [
     "stocks_df_tsdb = stocks_df\n",
     "stocks_df_tsdb = stocks_df.reset_index()\n",
-    "stocks_df_tsdb = stocks_df.set_index(['last_updated'])\n"
+    "stocks_df_tsdb = stocks_df.set_index(['last_updated'])"
    ]
   },
   {
@@ -196,7 +194,7 @@
    "outputs": [],
    "source": [
     "# Create grafana dashboard\n",
-    "dash = Dashboard(\"stocks\", start='now', dataSource='Iguazio')\n"
+    "dash = Dashboard(\"stocks\", start='now-15m', dataSource='Iguazio', end='now')\n"
    ]
   },
   {
@@ -220,7 +218,7 @@
     "# Metrics row will\n",
     "metrics_row = [Graph(metric).series(table=stocks_tsdb_table, fields=[metric], container=v3io_container) for metric in ['price','volume']]\n",
     "\n",
-    "dash.row(metrics_row)\n",
+    "dashboard = dash.row(metrics_row)\n",
     "\n"
    ]
   },
@@ -233,13 +231,20 @@
     "# Deploy to Grafana\n",
     "dash.deploy(grafana_url)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:root] *",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-root-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {