import csv

import json

from datetime import datetime

from jobspy import scrape_jobs

def dowork():

    jobs = scrape_jobs(

    site_name=["indeed", "linkedin", "zip_recruiter", "glassdoor", "google"],

    search_term="build release engineer",

    google_search_term="build and release engineer jobs near durham, nc",

    location="durham, nc",

    results_wanted=50,

    hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)

    country_indeed='USA',  # only needed for indeed / glassdoor
        
    )

    print(f"scraper seearch completed. found {len(jobs)} jobs.")

    print(jobs.head())

    # Convert DataFrame to JSON string
    json_string = jobs.to_json(orient='records') 

    print("json",json_string) 


    #    jobs.to_csv("shinob-jobs-report.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=False, sep='|' )

    return json_string

def writeFile( variable_value):

    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")

    filename = f"shinobi-jobs-report.json"

    with open(filename, "w") as f:

        f.write(str(variable_value))

def read():

    filename = "shinobi-jobs-report.json"
    
    try:

        with open(filename, "r") as f:

            return f.read() 

    except FileNotFoundError:

        print(f"Error: File '{filename}' not found.")

        return None

#thing = dowork()

#print("thing: ",thing)

#writeFile(thing)