mirror of
https://github.com/daniviga/bite.git
synced 2024-11-23 13:26:14 +01:00
Daniele Viganò
665b3e87d0
* Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
754 lines
23 KiB
Plaintext
754 lines
23 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "endless-short",
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"metadata": {},
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"outputs": [],
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"source": [
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"# -*- coding: utf-8 -*-\n",
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"# vim: tabstop=4 shiftwidth=4 softtabstop=4\n",
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"#\n",
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"# BITE - A Basic/IoT/Example\n",
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"# Copyright (C) 2020-2021 Daniele Viganò <daniele@vigano.me>\n",
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"#\n",
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"# BITE is free software: you can redistribute it and/or modify\n",
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"# it under the terms of the GNU Affero General Public License as published by\n",
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"# the Free Software Foundation, either version 3 of the License, or\n",
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"# (at your option) any later version.\n",
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"#\n",
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"# BITE is distributed in the hope that it will be useful,\n",
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"# but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
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"# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n",
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"# GNU Affero General Public License for more details.\n",
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"#\n",
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"# You should have received a copy of the GNU Affero General Public License\n",
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"# along with this program. If not, see <http://www.gnu.org/licenses/>.\n",
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"\n",
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"import requests\n",
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"import pandas as pd\n",
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"import ipywidgets as widgets\n",
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"import plotly.graph_objects as go\n",
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"\n",
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"from datetime import date, datetime\n",
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"from IPython.display import display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "running-darwin",
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"metadata": {},
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"outputs": [],
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"source": [
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"serial = widgets.Text(\n",
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" value='esp32_1',\n",
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" placeholder='Type something',\n",
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" description='Serial:',\n",
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" disabled=False\n",
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")\n",
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"date_from = widgets.DatePicker(\n",
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" description='From Date',\n",
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" disabled=False,\n",
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" value=date.today()\n",
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")\n",
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"date_to = widgets.DatePicker(\n",
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" description='To Date',\n",
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" disabled=False,\n",
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" value=date.today()\n",
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")\n",
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"display(serial)\n",
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"display(date_from)\n",
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"display(date_to)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "designing-milwaukee",
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"metadata": {},
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"outputs": [],
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"source": [
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"date_from = datetime.combine(date_from.value, datetime.min.time())\n",
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"date_to = datetime.combine(date_to.value, datetime.max.time())\n",
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"\n",
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"try:\n",
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" r = requests.get(\"http://localhost/telemetry/{serial}/{date_from}/{date_to}/\".format(\n",
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" serial=serial.value,\n",
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" date_from=date_from,\n",
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" date_to=date_to\n",
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" ))\n",
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" \n",
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"except requests.exceptions.RequestException as e:\n",
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" raise SystemExit(e)\n",
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"\n",
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"r.raise_for_status()\n",
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"\n",
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"df = pd.json_normalize(r.json())\n",
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"if 'time' in df:\n",
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" index = pd.to_datetime(df['time'])\n",
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" df = df.set_index(index)\n",
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" df = df.resample('5min').agg(['min', 'max', 'mean'])\n",
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"else:\n",
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" print('No data to compute')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "related-place",
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = go.Figure([go.Scatter(x=df.index, y=df['payload.wifi-rssi']['max'], showlegend=False),\n",
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" go.Scatter(x=df.index, y=df['payload.wifi-rssi']['mean'], name=\"WiFI RSSI\"),\n",
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" go.Scatter(x=df.index, y=df['payload.wifi-rssi']['min'], showlegend=False),\n",
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" go.Scatter(x=df.index, y=df['payload.hall']['max'], showlegend=False),\n",
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" go.Scatter(x=df.index, y=df['payload.hall']['mean'], name=\"Hall effect\"),\n",
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" go.Scatter(x=df.index, y=df['payload.hall']['min'], showlegend=False)])\n",
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"fig.show()"
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]
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},
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"cell_type": "code",
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"id": "interested-silence",
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"metadata": {},
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"outputs": [],
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"version": "3.9.2"
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