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#!/usr/bin/env python3
import graphqlclient
from os import environ
import dotenv
import tabulate
import json
import time
import requests
from datetime import datetime, timedelta
from geopy.geocoders import Nominatim
dotenv.load_dotenv()
client = graphqlclient.GraphQLClient(environ.get("API"))
locale = environ.get("LOCALE")
geolocator = Nominatim(user_agent="ami")
location = geolocator.geocode(environ.get("LOCATION"), addressdetails=True)
client.inject_token(environ.get("AUTHORIZATION"), "authorization")
def log_response(data):
log = environ.get("LOG")
if log is not None:
with open(log, "a") as log_file:
json.dump({"timestamp": datetime.now().isoformat(), "data": data}, log_file)
log_file.write("\n")
def notify(title, body, job_id=None):
options = {
"body": body,
"title": title,
"icon": "https://media.discordapp.net/stickers/860824030617272350.webp?size=160&quality=lossless",
}
if job_id is not None:
options["url"] = (
f"https://hiring.amazon.com/app#/jobDetail?jobId={job_id}&locale={locale}"
)
options["level"] = "timeSensitive"
response = requests.post(
f"https://api.day.app/{environ.get('BARK_KEY')}/",
headers={"Content-Type": "application/json; charset=utf-8"},
json=options,
)
return response.status_code, response.text
def print_job_table():
contain_filters = [
{
"key": "state",
"val": [location.raw.get("address").get("ISO3166-2-lvl4").split("-")[1]],
},
{"key": "isPrivateSchedule", "val": ["false"]},
]
if environ.get("SEARCH_CITIES") is not None:
contain_filters.append({"key": "city", "val": environ.get("SEARCH_CITIES")})
equal_filters = [
{"key": "scheduleRequiredLanguage", "val": locale},
]
if environ.get("SHIFT_TYPE") is not None:
equal_filters.append({"key": "shiftType", "val": environ.get("SHIFT_TYPE")})
else:
equal_filters.append({"key": "shiftType", "val": "All"})
json_api_data = json.loads(
client.execute(
"""
query searchJobCardsByLocation($searchJobRequest: SearchJobRequest!) {
searchJobCardsByLocation(searchJobRequest: $searchJobRequest) {
nextToken
jobCards {
jobId
language
dataSource
requisitionType
jobTitle
jobType
employmentType
city
state
postalCode
locationName
totalPayRateMin
totalPayRateMax
tagLine
bannerText
image
jobPreviewVideo
distance
featuredJob
bonusJob
bonusPay
scheduleCount
currencyCode
geoClusterDescription
surgePay
jobTypeL10N
employmentTypeL10N
bonusPayL10N
surgePayL10N
totalPayRateMinL10N
totalPayRateMaxL10N
distanceL10N
monthlyBasePayMin
monthlyBasePayMinL10N
monthlyBasePayMax
monthlyBasePayMaxL10N
jobContainerJobMetaL1
virtualLocation
poolingEnabled
__typename
}
__typename
}
}
""",
{
"searchJobRequest": {
"locale": locale,
"country": location.raw.get("address").get("country"),
"keyWords": environ.get("KEYWORDS"),
"equalFilters": equal_filters,
"containFilters": contain_filters,
"rangeFilters": [
{"key": "hoursPerWeek", "range": {"minimum": 0, "maximum": 80}}
],
"orFilters": [],
"dateFilters": [
{
"key": "firstDayOnSite",
"range": {
"startDate": (
datetime.now() + timedelta(days=1)
).strftime("%Y-%m-%d")
},
}
],
"sorters": [],
"pageSize": 100,
"geoQueryClause": {
"lat": location.latitude,
"lng": location.longitude,
"unit": environ.get("DISTANCE_UNIT"),
"distance": environ.get("DISTANCE"),
},
"consolidateSchedule": True,
}
},
)
)
log_response(json_api_data)
table_data = []
if json_api_data["data"]["searchJobCardsByLocation"]["jobCards"] is None:
return
for job in json_api_data["data"]["searchJobCardsByLocation"]["jobCards"]:
table_data.append(
[
job["jobId"],
job["jobTitle"],
job["city"],
job["state"],
f"${job['totalPayRateMin']} to ${job['totalPayRateMax']} {job['currencyCode']}",
job["employmentTypeL10N"],
job["distanceL10N"],
]
)
print(
tabulate.tabulate(
table_data,
headers=[
"Job ID",
"Title",
"City",
"State",
"Pay Rate",
"Employment Type",
"Distance (mi)",
],
tablefmt="fancy_grid",
)
)
for job in json_api_data["data"]["searchJobCardsByLocation"]["jobCards"]:
for city in (environ.get("TARGET_CITIES") or "").split(","):
fixed_city = city.strip()
if job["city"] is not None and job["city"].lower() == fixed_city.lower():
notify(
f"Found job in {fixed_city}",
f"Job ID: {job['jobId']}\nTitle: {job['jobTitle']}\nCity: {job['city']}\nState: {job['state']}\nPay Rate: ${job['totalPayRateMin']} to ${job['totalPayRateMax']} {job['currencyCode']}\nEmployment Type: {job['employmentTypeL10N']}\nDistance: {job['distanceL10N']}",
job["jobId"],
)
break
while True:
print_job_table()
interval_string = environ.get("INTERVAL")
time.sleep(int(interval_string) if interval_string is not None else 60)
print()
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