Intial commit
This commit is contained in:
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jobs.csv
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.venv
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__pycache__
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# To run this code you need to install the following dependencies:
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# pip install google-genai
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import base64
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import os
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from google import genai
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from google.genai import types
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def generate(description, instruction):
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client = genai.Client(
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api_key=""
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)
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model = "gemini-2.5-flash"
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contents = [
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types.Content(
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role="user",
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parts=[
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types.Part.from_text(text=description),
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],
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),
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]
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generate_content_config = types.GenerateContentConfig(
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thinking_config=types.ThinkingConfig(
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thinking_budget=0,
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),
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response_mime_type="application/json",
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response_schema=genai.types.Schema(
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type=genai.types.Type.OBJECT,
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required=[
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"percentage",
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"why I'm I a good fit",
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"what I'm I missing",
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],
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properties={
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"percentage": genai.types.Schema(
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type=genai.types.Type.INTEGER,
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),
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"why I'm I a good fit": genai.types.Schema(
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type=genai.types.Type.STRING,
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),
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"what I'm I missing": genai.types.Schema(
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type=genai.types.Type.STRING,
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),
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},
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),
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system_instruction=[
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types.Part.from_text(text=instruction),
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],
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)
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# for chunk in client.models.generate_content_stream(
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# model=model,
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# contents=contents,
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# config=generate_content_config,
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# ):
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# print(chunk.text, end="")
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response = client.models.generate_content(
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model=model,
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contents=contents,
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config=generate_content_config,
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)
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return response.text
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if __name__ == "__main__":
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generate()
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import smtplib
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from email.mime.text import MIMEText
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from email.mime.multipart import MIMEMultipart
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def send_email(sender, receiver, password, good_fit_jobs):
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print("preparing message")
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html_body = """<html>
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<body style="font-family: Arial, sans-serif; line-height: 1.6;">
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<h2 style="color: #2c3e50;">My Job Alert</h2>
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<p><b>{count} jobs</b> have been found that match your profile:</p>
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<ul style="padding-left: 20px;">
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""".format(
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count=len(good_fit_jobs)
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)
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for job in good_fit_jobs:
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html_body += f"""
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<li style="margin-bottom: 15px;">
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<p><b>Title:</b> {job["title"]}</p>
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<p><b>URL:</b> <a href="{job["url"]}">{job["url"]}</a></p>
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<p><b>Percentage:</b> {job["percentage"]}</p>
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<p><b>Why I'm a good fit:</b> {job["why I'm I a good fit"]}</p>
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<p><b>What I'm missing:</b> {job["what I'm I missing"]}</p>
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</li>
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"""
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html_body += """
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</ul>
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</body>
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</html>
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"""
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message = MIMEText(html_body, "html")
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message["Subject"] = f"MY JOB ALERT: {len(good_fit_jobs)} jobs has been found"
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message["From"] = sender
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message["To"] = receiver
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print(f"Sending email with {len(good_fit_jobs)} jobs")
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with smtplib.SMTP("smtp.gmail.com", timeout=60, port=587) as connection:
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connection.starttls()
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connection.login(user=sender, password=password)
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connection.sendmail(
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from_addr=sender,
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to_addrs=receiver,
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msg=message.as_string(),
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)
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connection.close()
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i will give you job descriptions and you tell me if i'm a good fit or not in a percentage, why I'm I a good fit and what I'm I missing
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this is my cv:
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Ahmed Hesham
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Ahmed.hesham.farag@gmail.com
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Cairo, Egypt
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LinkedIn:https://www.linkedin.com/in/ahmed-hesham0/
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GitHub:https://github.com/ahmedhesham301
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PROFILE
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DevOps Engineer with hands-on experience in automating CI/CD pipelines, containerizing
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applications, and deploying scalable infrastructure on AWS using Docker, Terraform, and
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Ansible. Skilled in backend development with Python and Go, building RESTful APIs and
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automating system workflows.
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EDUCATION
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Sadat Academy | Cairo, Egypt
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Computer science
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Predicted Grade: Very good
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Oct 2022 – June 2026
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TECHNICAL SKILLS
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-DevOps Tools: Jenkins, Docker, Ansible, Terraform.
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-Programming & Scripting: Python, GO, Bash, YAML, JSON.
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-Monitoring & Observability: Prometheus, Grafana.
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-Cloud Platforms & OS: Linux, AWS, Ubuntu.
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-Database: SQL, PostgreSQL.
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-Version control: Git, GitHub.
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Projects
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•Built CI/CD pipeline using Jenkins to test and deploy Flask app to EC2 on AWS. The
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pipeline included building a Docker image, pushing it to Docker Hub, provisioning
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infrastructure with Terraform, and configuring the server using Ansible.
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GitHub Repo: weather-app
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•A Docker image for a Minecraft server that allows you to specify the desired version as
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an argument. The image automatically downloads the specified version from Mojang's
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website and launches the server with a single command. GitHub repo
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•An Amazon price tracker that monitors the price of a specified item. It scrapes the current
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price and sends you an email notification whenever the price drops below your desired
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price.
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EXPERIENCE
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Orange Digital Centre
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Jan 2025 – Feb 2025
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DevOps internship
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Gained hands-on experience in CI/CD pipelines using Jenkins, Ansible, and Terraform.
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ADDITIONAL SKILLS
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Languages: Arabic (Native), English (Fluent)Microsoft Office: Proficient in Word and PowerPoint
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from jobspy import scrape_jobs
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def getJobs(jobTitle, results_wanted, hours_old):
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jobs = scrape_jobs(
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site_name=[
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"indeed",
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"linkedin",
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# "zip_recruiter",
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"google",
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# "glassdoor",
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# "bayt",
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# "naukri",
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# "bdjobs",
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],
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search_term=jobTitle,
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location="Egypt",
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results_wanted=results_wanted,
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google_search_term=f"{jobTitle} jobs near Cairo since {hours_old} hours",
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hours_old=hours_old,
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country_indeed="Egypt",
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linkedin_fetch_description=True, # gets more info such as description, direct job url (slower)
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# proxies=["208.195.175.46:65095", "208.195.175.45:65095", "localhost"],
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)
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print(f"Found {len(jobs)} jobs")
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# print(jobs)
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return jobs
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# jobs.to_csv(
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# "jobs.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False
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# ) # to_excel
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from jobs import getJobs
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from ai import generate
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from alert import send_email
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import json
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import time
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import logging
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SENDER = ""
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PASSWORD = ""
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RECEIVER = ""
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good_fit_jobs = []
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with open("instruction.txt", "r") as f:
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CV = f.read()
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def get_jobs(job_title, cv, results_wanted, hours_old):
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jobs = getJobs(job_title, results_wanted, hours_old)
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for i, job in jobs.iterrows():
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# print(job["description"])
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# print("_______________")
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print("index is :", i)
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if (i + 1) % 10 == 0 and i != 0:
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print("Sleeping to avoid API rate limits")
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time.sleep(60)
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try_count = 3
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while try_count > 0:
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try:
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cleaned_description = "\n".join(
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[line for line in job["description"].splitlines() if line.strip()]
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)
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ai_response = generate(cleaned_description, cv)
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ai_response_dict = json.loads(ai_response)
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break
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except json.JSONDecodeError as e:
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try_count -= 1
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print("_______________")
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print(cleaned_description)
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print("_______________")
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print(ai_response)
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print(e)
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print("Sleeping after fail to avoid API rate limits")
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time.sleep(6)
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else:
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print("All attempts failed.")
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continue
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# print(ai_response_dict)
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if ai_response_dict["percentage"] > 0:
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# print("adding job to good_fit_jobs")
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good_fit_jobs.append(
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{
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"title": job["title"],
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"url": job["job_url"],
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"percentage": ai_response_dict["percentage"],
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"why I'm I a good fit": ai_response_dict["why I'm I a good fit"],
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"what I'm I missing": ai_response_dict["what I'm I missing"],
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}
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)
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if __name__ == "__main__":
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get_jobs("devops", CV, results_wanted=2, hours_old=4)
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# get_jobs("backend", CV, results_wanted=30, hours_old=2)
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if len(good_fit_jobs) > 0:
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send_email(SENDER, RECEIVER, PASSWORD, good_fit_jobs)
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annotated-types==0.7.0
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anyio==4.11.0
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beautifulsoup4==4.13.5
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cachetools==5.5.2
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certifi==2025.8.3
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charset-normalizer==3.4.3
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google-auth==2.40.3
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google-genai==1.38.0
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h11==0.16.0
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httpcore==1.0.9
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httpx==0.28.1
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idna==3.10
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markdownify==0.13.1
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numpy==1.26.3
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pandas==2.3.2
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pyasn1==0.6.1
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pyasn1_modules==0.4.2
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pydantic==2.11.9
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pydantic_core==2.33.2
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python-dateutil==2.9.0.post0
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python-jobspy==1.1.82
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pytz==2025.2
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regex==2024.11.6
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requests==2.32.5
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rsa==4.9.1
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six==1.17.0
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sniffio==1.3.1
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soupsieve==2.8
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tenacity==9.1.2
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tls-client==1.0.1
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typing-inspection==0.4.1
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typing_extensions==4.15.0
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tzdata==2025.2
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urllib3==2.5.0
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websockets==15.0.1
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