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chore(justworks): notebook to explore weekly rollup
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‎.gitignore‎

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*.egg-info
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notebooks/data/*
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!notebooks/data/harvest-sample.csv
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!notebooks/data/justworks-sample.csv
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!notebooks/data/toggl-project-info-sample.json
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!notebooks/data/toggl-sample.csv
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!notebooks/data/toggl-user-info-sample.json

‎notebooks/data/justworks-sample.csv‎

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First Name,Last Name,Work Email,Start Date,End Date,Regular Hours
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Aymer,Hauck,aymer@compiler.la,2023-01-01,2023-01-07,23.9
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Aymer,Hauck,aymer@compiler.la,2023-01-08,2023-01-14,28.3
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Aymer,Hauck,aymer@compiler.la,2023-01-15,2023-01-21,20.5
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Aymer,Hauck,aymer@compiler.la,2023-01-22,2023-01-28,19.7
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Aymer,Hauck,aymer@compiler.la,2023-01-29,2023-02-04,4.1
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Gusella,Swaile,gusella@compiler.la,2023-01-01,2023-01-07,23.9
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Gusella,Swaile,gusella@compiler.la,2023-01-08,2023-01-14,29.9
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Gusella,Swaile,gusella@compiler.la,2023-01-15,2023-01-21,11.7
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Gusella,Swaile,gusella@compiler.la,2023-01-22,2023-01-28,36.3
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Gusella,Swaile,gusella@compiler.la,2023-01-29,2023-02-04,10.2
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Hetti,Becken,hetti@compiler.la,2023-01-01,2023-01-07,24.1
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Hetti,Becken,hetti@compiler.la,2023-01-08,2023-01-14,26.2
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Hetti,Becken,hetti@compiler.la,2023-01-15,2023-01-21,34.2
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Hetti,Becken,hetti@compiler.la,2023-01-22,2023-01-28,34.0
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Hetti,Becken,hetti@compiler.la,2023-01-29,2023-02-04,4.4
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Sawyer,Berrey,sawyer@compiler.la,2023-01-01,2023-01-07,19.6
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Sawyer,Berrey,sawyer@compiler.la,2023-01-08,2023-01-14,22.8
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Sawyer,Berrey,sawyer@compiler.la,2023-01-15,2023-01-21,17.7
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Sawyer,Berrey,sawyer@compiler.la,2023-01-22,2023-01-28,15.9
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Sawyer,Berrey,sawyer@compiler.la,2023-01-29,2023-02-04,3.7
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Silas,Idenden,silas@compiler.la,2023-01-01,2023-01-07,26.4
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Silas,Idenden,silas@compiler.la,2023-01-08,2023-01-14,19.8
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Silas,Idenden,silas@compiler.la,2023-01-15,2023-01-21,30.6
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Silas,Idenden,silas@compiler.la,2023-01-22,2023-01-28,25.1
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Silas,Idenden,silas@compiler.la,2023-01-29,2023-02-04,5.4

‎notebooks/toggl-to-justworks.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Toggl to Justworks conversion\n",
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"\n",
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"This notebook explores a conversion process for Toggl hours into a format for import into Justworks.\n",
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"\n",
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"Toggl hours are tracked daily, and we can export a report of each entry in Toggl.\n",
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"\n",
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"Justworks expects a rollup of total hours per-person per-week."
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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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"import pandas as pd\n",
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"\n",
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"from compiler_admin.services.toggl import _prepare_input\n",
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"from compiler_admin.services import files"
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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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"renames = {\n",
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" \"Email\": \"Work Email\",\n",
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" \"First name\": \"First Name\",\n",
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" \"Hours\": \"Regular Hours\",\n",
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" \"Last name\": \"Last Name\",\n",
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" \"Start date\": \"Start Date\"\n",
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"}\n",
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"df = _prepare_input(\"./data/toggl-sample.csv\", column_renames=renames)\n",
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"df.head()"
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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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"cols = [\"Work Email\", \"First Name\", \"Last Name\", \"Start Date\"]\n",
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"df_people = df.sort_values(cols).groupby(cols, observed=False)\n",
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"df_people_agg = df_people.agg({\"Regular Hours\": \"sum\"})\n",
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"df_people_agg.reset_index(inplace=True)\n",
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"df_people_agg.head()"
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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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"cols = [\"Work Email\", \"First Name\", \"Last Name\"]\n",
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"weekly_agg = df_people_agg.groupby(cols).resample(\"W\", label=\"left\", on=\"Start Date\")\n",
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"weekly_agg = weekly_agg[\"Regular Hours\"].sum().round(1).reset_index()\n",
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"weekly_agg.head()"
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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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"weekly_agg[\"End Date\"] = weekly_agg[\"Start Date\"] + pd.Timedelta(days=6)\n",
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"weekly_agg.head()"
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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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"files.write_csv(\"./data/justworks-sample.csv\", weekly_agg, columns=[\"First Name\", \"Last Name\", \"Work Email\", \"Start Date\", \"End Date\", \"Regular Hours\"])"
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]
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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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},
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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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"pygments_lexer": "ipython3",
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"version": "3.11.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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