Get screen data and look at counts of events.
junos
parent
f37e8dc0eb
commit
db66d2201b
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -14,46 +14,100 @@
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from features.screen import *\n",
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"import participants.query_db"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_screen_nokia = get_screen_data([\"nokia_0000003\"])"
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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": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" id _id timestamp device_id \\\n",
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"0 245456 155 1615456297079 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"1 245455 154 1615456297069 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"2 245454 153 1615456288219 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"3 245453 152 1615455357213 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"4 245452 151 1615455357190 12324354-e195-4e93-a2d5-268556e3ea5d \n",
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"... ... ... ... ... \n",
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"1911 33221 5 1583329949659 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1912 33171 4 1583327341863 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1913 33170 3 1583327340983 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1914 33169 2 1583327340739 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"1915 33168 1 1583327340713 d5fb52e1-7df8-44b5-a805-8d04ca008061 \n",
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"\n",
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"from config.models import Participant, Screen\n",
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"from setup import db_engine, session"
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" screen_status participant_id username \n",
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"0 2 21 nokia_0000003 \n",
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"1 0 21 nokia_0000003 \n",
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"2 1 21 nokia_0000003 \n",
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"3 2 21 nokia_0000003 \n",
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"4 0 21 nokia_0000003 \n",
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"... ... ... ... \n",
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"1911 3 21 nokia_0000003 \n",
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"1912 3 21 nokia_0000003 \n",
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"1913 1 21 nokia_0000003 \n",
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"1914 2 21 nokia_0000003 \n",
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"1915 0 21 nokia_0000003 \n",
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"\n",
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"[1916 rows x 7 columns]\n"
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]
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}
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],
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"source": [
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"print(df_screen_nokia)"
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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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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"query_screen = (\n",
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" session.query(Screen, Participant.username)\n",
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" .filter(Participant.id == Screen.participant_id)\n",
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" .filter(Participant.username.in_([\"nokia_0000003\"]))\n",
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" )\n",
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"with db_engine.connect() as connection:\n",
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" df_screen = pd.read_sql(query_screen.statement, connection)"
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"participants_inactive_usernames = participants.query_db.get_usernames()\n",
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"df_screen_inactive = get_screen_data(participants_inactive_usernames)"
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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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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"screen_status\n",
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"0 70243\n",
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"1 70012\n",
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"2 63080\n",
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"3 36666\n",
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"dtype: int64"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"print(df_screen)"
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"df_screen_inactive.value_counts(\"screen_status\")"
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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@ -72,7 +126,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.1"
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"version": "3.9.2"
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}
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},
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"nbformat": 4,
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@ -0,0 +1,32 @@
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from typing import List
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import pandas as pd
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from config.models import Screen, Participant
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from setup import db_engine, session
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screen_status = {0: "off", 1: "on", 2: "locked", 3: "unlocked"}
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def get_screen_data(usernames: List) -> pd.DataFrame:
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"""
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Read the data from the screen table and return it in a dataframe.
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Parameters
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----------
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usernames: List
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A list of usernames to put into the WHERE condition.
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Returns
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-------
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df_screen: pd.DataFrame
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A dataframe of screen data.
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"""
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query_screen = (
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session.query(Screen, Participant.username)
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.filter(Participant.id == Screen.participant_id)
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.filter(Participant.username.in_(usernames))
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)
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with db_engine.connect() as connection:
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df_screen = pd.read_sql(query_screen.statement, connection)
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return df_screen
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