Tailor your CV to each job posting from one master Doc

from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from clickruntime import on_event, credentials, ai

MASTER_CV_ID, FOLDER_ID = "your-master-cv-doc-id", "your-applications-folder-id"

@on_event
def handle(event):
    job = event.json or {}
    creds = Credentials(credentials.connection("google", "work"))
    docs = build("docs", "v1", credentials=creds, cache_discovery=False)
    master = docs.documents().get(documentId=MASTER_CV_ID).execute()
    cv_text = "".join(r.get("textRun", {}).get("content", "") for b in master["body"]["content"]
                      for r in b.get("paragraph", {}).get("elements", []))[:12000]
    summary = ai.generate(f"Job posting:\n{job.get('posting', '')[:6000]}\n\nCV:\n{cv_text}",
                          system="Rewrite the CV's profile summary (max 80 words) for this role. Use only facts from the CV.",
                          max_output_tokens=300).text.strip()
    copy = build("drive", "v3", credentials=creds, cache_discovery=False).files().copy(fileId=MASTER_CV_ID, fields="id,webViewLink",
        body={"name": f"CV - {job.get('company', 'Company')} - {job.get('role', 'Role')}", "parents": [FOLDER_ID]}).execute()
    docs.documents().batchUpdate(documentId=copy["id"], body={"requests": [
        {"replaceAllText": {"containsText": {"text": "{{SUMMARY}}"}, "replaceText": summary}}]}).execute()
    return {"doc": copy["webViewLink"]}