| import pandas as pd | |
| import numpy as np | |
| from datetime import datetime, timedelta | |
| # ----------------------------------------------------- | |
| # Step 1: Generate Sample Data | |
| # ----------------------------------------------------- | |
| # Create a date range for 10 days. | |
| start_date = datetime(2025, 1, 1) | |
| dates = [start_date + timedelta(days=i) for i in range(10)] |
| | bin span=1d _time | |
| | stats sum(count) AS daily_total by _time | |
| | where _time < relative_time(now(), "d") // Exclude today for calculating historical metrics | |
| | eventstats avg(daily_total) AS avg_total stdev(daily_total) AS stdev_total | |
| | eval upper_bound = avg_total + (2 * stdev_total) | |
| | eval lower_bound = avg_total - (2 * stdev_total) | |
| | append [ | |
| search <your_base_search> earliest=-1d@d latest=@d | |
| | bin span=1d _time | |
| | stats sum(count) AS daily_total by _time |
| import logging | |
| import requests | |
| from requests.adapters import HTTPAdapter, Retry | |
| from requests.exceptions import RetryError, HTTPError | |
| # Configure basic logging | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger(__name__) | |
| def call_api_with_retries(): |
| logger = Logger( | |
| service="my-lambda-service", # or any service name | |
| utc=True, | |
| # Setting formatter_cls doesn't exist directly—pass an instance as below | |
| logger_formatter=OtelJsonFormatter(), | |
| # log_level="INFO", # optionally set a log level | |
| ) |
often I get annoying CRLF to LF issues when using an editor that doesn't let you specify default line endings like Obsidian, which is super annoying when syncing notes across devices
so here's a script to use. if you want to filter (e.g. only markdown files) you can pass it as an arg like normalize *[.md]
| { | |
| "$schema": "http://json-schema.org/draft-07/schema#", | |
| "type": "array", | |
| "title": "HubSpot Module", | |
| "items": { | |
| "type": "object", | |
| "properties": { | |
| "name": { | |
| "type": "string", | |
| "description": "The variable name you will use to refer to this field's values, and is what the value of the field is stored against. Cannot contain spaces or special characters.", |
| @TestVisible | |
| private static Boolean orgIsSandbox { | |
| get { | |
| if (orgIsSandbox == null) { | |
| orgIsSandbox = [SELECT IsSandbox FROM Organization LIMIT 1].IsSandbox; | |
| } | |
| return orgIsSandbox; | |
| } | |
| set; | |
| } |
| { | |
| "InvocableMethod": { | |
| "prefix": "InvocableMethod", | |
| "body": [ | |
| "@InvocableMethod(label='$1' description='$2' callout=${3|true,false|} category='$4' configurationEditor='$5')" | |
| ], | |
| "description": "Apex InvocableMethod Annotation, @see https://developer.salesforce.com/docs/atlas.en-us.apexcode.meta/apexcode/apex_classes_annotation_InvocableMethod.htm" | |
| }, | |
| "InvocableVariable": { | |
| "prefix": "InvocableVar", |
node -r dotenv/config index.ts dotenv_config_path=../.env
| #!/bin/bash | |
| # CSV with SOQL example | |
| sfdx force:data:soql:query -q "SELECT Name, Username, Email FROM User WHERE IsActive = True" --resultformat csv | paste -sd '\n' >| sf_users.csv | |
| # JSON with SOQL Example | |
| sfdx force:data:soql:query -q "SELECT Name, Username, Email FROM User WHERE IsActive = True" --resultformat json >> sf_users.json |