lancejohnson

# Instantiate the client with an endpoint.
endpoint="https://renovationreserve.myshopify.com/admin/api/2023-07/graphql.json"

# Provide a GraphQL query
query = """
query ProductsBySku($skuFilter: String!){
        products(first: 1, query: $skuFilter) {
          edges {
              node {
                  id

lancejohnson

# We're using a baseball analogy.  E.g. A mailer gets 3 strikes per out and 3 outs in the first 9 pitches.  All the limits are defined below
# inputs
ThresholdProb <- 0.03 # this is the minimum probability we need to be profitable for the business
num_simulations <- 1000
strikes_per_out = 3
outs_limit = 1

# The game starts here!
mailers_per_pitch = round(1 / ThresholdProb, 0)
mailers_per_simulation <- 1 / ThresholdProb * strikes_per_out * outs_limit

lancejohnson

from os import environ
import requests
from requests.auth import HTTPBasicAuth


def create_close_params(starting_year, ending_year):
    def generate_first_day_of_the_month(starting_year, ending_year):
        first_day_of_the_month = []
        for year in range(starting_year, ending_year + 1):
            for month in range(1, 13):

lancejohnson

from os import environ
import requests
from requests.auth import HTTPBasicAuth

CLOSE_API_KEY = environ.get("CLOSE_API_KEY", "")
BASE_URL = "https://api.close.com/api/v1/lead/"
PARAMS = {"query": """(original_lead_status:"stat_pdBqiRfX6DrpDrE8v320qT2tCSSNURza5cv8aSWxdcp" and created >= "2020-06-01 00:00:00" and created <= "2020-06-30 23:59:59") or lead_status_change(new_status:"stat_pdBqiRfX6DrpDrE8v320qT2tCSSNURza5cv8aSWxdcp" and date >= "2020-06-01 00:00:00" and date <= "2020-06-30 23:59:59")"""}
resp = requests.get(BASE_URL, params=PARAMS, auth=HTTPBasicAuth(CLOSE_API_KEY, ""))

num_of_results = resp.json()["total_results"]

lancejohnson

import calendar

def get_first_and_last_day_for_a_year(year_num):
    first_and_last_dates = []
    first_and_last_dates_formatted = []
    for i in range(1, 13):
        _, num_days = calendar.monthrange(year_num, i)
        first_day = datetime.date(year_num, i, 1)
        last_day = datetime.date(year_num, i, num_days)
        first_and_last_dates.append([first_day, last_day])

lancejohnson

## Input
{
	"starting_url": "https://www.landwatch.com/Oklahoma_land_for_sale/Osage_County/Land",
	"bucket": "landtoolsai"
}

## Output
Request: /scrape_landwatch
Status: 502
Latency: 1111 ms

lancejohnson

import boto3
import csv
import io
import os
from PIL import Image, ImageDraw, ImageFont
import pdb


def image_test():
    def load_file_from_s3(*, bucket, key):

lancejohnson

import csv
import os
import requests

CENSUS_API_KEY = os.environ.get("CENSUS_API_KEY", "")
CENSUS_SURNAME_URL = "https://api.census.gov/data/2010/surname"

params = {
    "key": CENSUS_API_KEY,
    "get": "NAME,COUNT",

lancejohnson

def add_string_breaks(string):
    list_words_in_str = string.split()
    str_standard_whitespace = " ".join(list_words_in_str)
    count_words_in_str = len(list_words_in_str)

    slogan_lines = []
    i = 0
    possible_words_in_line = count_words_in_str
    while i < possible_words_in_line:
        text_already_newline = " ".join(slogan_lines)

lancejohnson

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