def normalise(self, title, description, metadata, uri, view_date):
salary = get_salary_data(metadata.get("Total Remuneration Package:") or "")
location_raw = metadata["Job Location:"]
return {
"title": title,
"description": html2plain(description),
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": metadata["Organisation/Entity:"],
**salary,
"location_raw": location_raw,
**AU_GEOCODER.geocode(fixup_iworkfornsw_loc(location_raw)),
}
def normalise(self, data, uri, view_date):
org = data["hiringOrganization"]
if isinstance(org, dict):
org = org.get("name")
if not isinstance(org, str):
org = None
return {
"title": data["title"],
"description": html2plain(data.get("description", "")),
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": org,
}
def normalise(self, title, description, metadata, uri, view_date):
salary_data = get_salary_data(
metadata.get("Salary:") or metadata["Salary Range:"])
location_raw = metadata.get("Location:") or metadata["Work location:"]
return {
"title": title,
"description": html2plain(description),
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": metadata.get("Organisation:"),
**salary_data,
"location_raw": location_raw,
**AU_GEOCODER.geocode(fixup_careers_vic_location(location_raw)),
}
def normalise(self, data, uri, view_date):
metadata = {row["value"]: row["name"] for row in data["mainAttributes"]}
salary_raw = metadata.get("Salary Detail")
salary_data = get_salary_data(salary_raw)
return {
"title": data["title"],
"description": html2plain(data["description"]),
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": None,
**salary_data,
"location_raw": data["mapAddress"],
**AU_GEOCODER.geocode(data["mapAddress"]),
}
def normalise(
self, title, description, organisation_description, metadata, uri, view_date
):
salary_text = metadata.get("Salary :")
salary_data = get_salary_data(salary_text)
location_raw = metadata["Location :"]
return {
"title": title,
"description": html2plain(description),
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": metadata.get("Organisation :"),
**salary_data,
"location_raw": location_raw,
**AU_GEOCODER.geocode(fix_probono_location(location_raw)),
}
def normalise(self, data, uri, view_date):
if "description" in data:
description = html2plain(data["description"])
else:
description = None
org = data.get("hiringOrganization")
if isinstance(org, dict):
org = org["name"]
return {
"title": data["title"],
"description": description,
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": org,
}
def normalise(self, data, uri, view_date):
salary_text = data["salary"]
location = data["locationHierarchy"]
location_text = ", ".join([
location["suburb"],
location["city"],
location["state"],
location["nation"],
])
return {
"title": data["title"],
"description": html2plain(data["mobileAdTemplate"]),
"uri": uri,
"view_date": datetime_from_iso_utc(view_date),
"org": data["advertiser"]["description"],
**get_salary_data(salary_text),
"location_raw": location_text,
**AU_GEOCODER.geocode(location_text),
}