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https://github.com/Hestia-Homes/survey-extraction.git
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added month end automation
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3 changed files with 50 additions and 3 deletions
31
.github/workflows/months_end.yml
vendored
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31
.github/workflows/months_end.yml
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@ -0,0 +1,31 @@
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name: Months End
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on:
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schedule:
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# - cron: '0 17 * * 1-5'
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push:
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branches: [main, feature/month_end_automation_of_all]
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workflow_dispatch:
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jobs:
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surveyed-needs-sign-off:
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runs-on: ubuntu-22.04
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.12'
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- name: Install dependencies
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run: |
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pip install poetry
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poetry install --no-root
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- name: run script
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run: |
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pwd
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ls -la
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poetry run python etl/month_end_automation_wave_2_layout.py
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env:
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PYTHONPATH: ${{ github.workspace }}
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@ -3,10 +3,10 @@ os.environ["SHAREPOINT_CLIENT_ID"] = "6832a4c5-fb8c-4082-a746-4f51e1020f0d"
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os.environ["SHAREPOINT_CLIENT_SECRET"] = "xpC8Q~Frww48SM1V-D8lGy5iOY7P_cJ7FF3jgarQ"
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os.environ["SHAREPOINT_TENANT_ID"] = "10d5af8b-2cfd-4882-9ccd-b96e4812dacf"
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from etl.scraper.scraper import SharePointScraper, SharePointInstaller
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import datetime
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from datetime import datetime
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def upload_to_month_end_folder(file_name_on_sp, local_file_path):
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def upload_to_month_end_folder(file_name_on_sp, local_file_path, add_to_path):
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sharepoint = SharePointScraper(SharePointInstaller.OSMOSIS_WAVE_2)
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parent_folder = "General/Junte Kim/month end"
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@ -16,6 +16,9 @@ def upload_to_month_end_folder(file_name_on_sp, local_file_path):
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sharepoint.create_dir(formatted_date, parent_folder)
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sharepoint_path = parent_folder + "/" + formatted_date
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sharepoint.create_dir(add_to_path, sharepoint_path)
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sharepoint_path += "/" + add_to_path
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print("Uploading to sharepoint...")
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sharepoint.upload_file(local_file_path, sharepoint_path, file_name_on_sp)
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print(f"Finished upload of {local_file_path} to sharepoint. It's found under {sharepoint_path}/{file_name_on_sp}")
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@ -7,6 +7,7 @@ from pprint import pprint
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import pandas as pd
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import json
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from MonthEndUploader import upload_to_month_end_folder
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import os
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monday_key = "eyJhbGciOiJIUzI1NiJ9.eyJ0aWQiOjQ5ODc2ODQxOCwiYWFpIjoxMSwidWlkIjozNjE3ODAzNCwiaWFkIjoiMjAyNS0wNC0xMVQxMToyMzoxNy40NjdaIiwicGVyIjoibWU6d3JpdGUiLCJhY3RpZCI6MTM5OTc4MjMsInJnbiI6InVzZTEifQ.-2Lit4s46ZF6AXuMW9t0TxIaFLkHqD4Yo-PyM9i2XZY"
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@ -234,5 +235,17 @@ combined_with_rates = final_df.merge(rate_card_df, on="job_type", how="left")
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import datetime
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timestamp = datetime.datetime.now().strftime('%Y-%m-%d_%H-%M')
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# Upload to sharepoint
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attribute = ['address', 'client', 'job_type', 'rate']
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combined_with_rates[attribute].to_excel(f'NCHA SHDF Westville Wave 1 & 2_{timestamp}.xlsx', index=False)
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master_folder_name = "NHCF SHDF WESTVILLE WAVE 1 & 2"
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file_name = f"NCHA SHDF Westville Wave 1 & 2_{timestamp}.xlsx"
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combined_with_rates[attribute].to_excel(file_name, index=False)
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file_path = os.path.abspath(file_name)
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upload_to_month_end_folder(file_name, file_path, master_folder_name)
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invoice_name = "rate_card.xlsx"
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file_path = os.path.abspath(invoice_name)
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rate_card_df.to_excel(invoice_name, index=False)
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upload_to_month_end_folder(invoice_name, file_path, master_folder_name)
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