You are an executive assistant with 20 years of experience.
Assistant is working in an IT company.
Summarize a meeting transcript. The Transcript has been automatically generated by Teams.
- Cite people for each main points
| #!/usr/bin/bash | |
| CSV_FILE="users.csv" | |
| # Skip the header line | |
| tail -n +2 "$CSV_FILE" | while IFS=',' read -r first_name last_name hackaton_group_number first_password | |
| do | |
| # Create the user in Azure AD, make sure the user principal name is in lowercase | |
| display_name="$first_name $last_name" | |
| user_principal_name="$(echo $first_name.$last_name | tr '[:upper:]' '[:lower:]')@XPBDF.onmicrosoft.com" |
| # Iterate over MP4, MOV and M4V files in the directory | |
| find "." -type f \( -iname "*.mp4" -o -iname "*.MP4" -o -iname "*.mov" -o -iname "*.MOV" -o -iname "*.m4v" -o -iname "*.M4V" \) -exec sh -c ' | |
| for file do | |
| echo "Optimizing: $file" | |
| # Extract the file extension | |
| EXT="${file##*.}" | |
| # Generate a random file name for the temporary file, preserving the extension | |
| TMP_FILE="/tmp/optimized.$RANDOM.$EXT" |
| from azure.identity import DefaultAzureCredential | |
| from typing import Awaitable | |
| import asyncio | |
| import openai | |
| # Set up the Azure credential | |
| credential = DefaultAzureCredential() | |
| def openai_refresh() -> None: | |
| """ |
| #!/bin/bash | |
| # Function to check if a command exists | |
| command_exists () { | |
| type "$1" &> /dev/null ; | |
| } | |
| mermaid_cli() { | |
| npx --yes @mermaid-js/mermaid-cli $@ | |
| } |
| #!/bin/bash | |
| # Display help with -h parameter | |
| function display_help { | |
| echo "Usage: $0 -i <image-path>" | |
| echo | |
| echo " -h Display this help message." | |
| echo " -i <image-path> Specify the image path for processing." | |
| echo | |
| exit 1 |
---
title: Deployment workflow
---
flowchart LR
dev(["Developer"])
subgraph azdo["Azure DevOps"]
repo["Azure Repos"]
pipeline["Azure Pipelines"]| from typing import Optional | |
| import re | |
| import html | |
| def sanitize(raw: Optional[str]) -> Optional[str]: | |
| """ | |
| Takes a raw string of HTML and removes all HTML tags, Markdown tables, and line returns. | |
| """ | |
| if not raw: |
Run this command against your Azure Monitor logs:
ContainerLog
| where TimeGenerated >= ago(360d)
| project TimeGenerated, ContainerID, _BilledSize
| lookup kind=leftouter (
KubePodInventory
| where TimeGenerated >= ago(360d)
| sort by TimeGenerated desc