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import openai; | |
import json, os,sys | |
from dotenv import load_dotenv | |
load_dotenv() | |
# openai.api_key = os.environ.get("OPENAI_API_KEY") | |
import openai; openai.api_key = "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" | |
from Candidate import JobCandidate | |
import litellm | |
from litellm import completion | |
import xml.etree.ElementTree as ET | |
def printc(obj, color="cyan"): | |
color_code = { | |
"black": "30", "red": "31", "green": "32", "yellow": "33", | |
"blue": "34", "magenta": "35", "cyan": "36", "white": "37" | |
} | |
colored_text = f"\033[{color_code[color]}m{obj}\033[0m" if color in color_code else obj | |
print(colored_text) | |
LLM=os.environ.get("COMPARATOR_LLM","chat-bison") | |
# LLM=os.environ.get("COMPARATOR_LLM","gpt-3.5-turbo-1106") | |
def getContent(candidateA, candidateB) -> str: | |
return ( | |
"Given the following two candidates, choose between the two. Here is the rubric: " | |
+ get_rubric() | |
+ "Candidate A: " | |
+ "\nRESUME:\n" +candidateA.resume_text+"\nEND Resume\n" | |
+ "\nGITHUB:\n" +candidateA.github_text+"\nEND GITHUB\n" | |
+ " END OF Candidate A" | |
+ "\n\nCandidate B: " | |
+ "\nRESUME:\n" +candidateB.resume_text+"\nEND Resume\n" | |
+ "\nGITHUB:\n" +candidateB.github_text+"\nEND GITHUB\n" | |
+ " END OF Candidate B" | |
) | |
def google_compare_resumes(content:str, nameA="", nameB=""): | |
choice =0 | |
messages=[ | |
{"role": "user", "content": "You are an LLM recrutier who will choose between two candidates based on an provided rubric"}, | |
{"role": "user", "content": | |
""" | |
You are an LLM recrutier who will choose between two candidates based on an provided rubric, | |
you will only use bullet point and broken english instead of proper english to be more concise | |
""" | |
}, | |
{"role": "assistant", "content": | |
""" | |
I can assist you in evaluating two candidates based on a provided rubric. | |
Provide me with the rubric or the criteria you'd like to use for the evaluation, | |
and I'll help you assess the candidates accordingly and explain myself in less that 50 words | |
""" | |
}, | |
{"role": "user", "content": content} | |
] | |
response =completion(model=LLM, messages=messages,max_tokens=170,) | |
printc(response["choices"][0]["message"],'red') | |
messages=[ | |
{"role": "assistant","content":str(response["choices"][0]["message"])}, | |
{"role": "user","content":"okay so now with just a single token select A or B, <select>choice letter goes here</select>"} | |
] | |
retries=3 | |
while retries >0: | |
response =completion(model=LLM, messages=messages,max_tokens=5,temperature=0.01) | |
# printc(response,'cyan') | |
html=''.join(str(response["choices"][0]["message"]['content']).split()) | |
if "<select>" in html: | |
xml_content = f'<root>{html}</root>' | |
root = ET.fromstring(xml_content) | |
select_element = root.find('select') | |
letter = str(select_element.text) | |
else: | |
letter = str(html)[0] | |
if letter == 'A': | |
printc(nameA+" wins over "+nameB,"cyan") | |
return -1 | |
elif letter == 'B': | |
printc(nameB+" wins over "+nameA,"green") | |
return 1 | |
retries-=1 | |
return choice | |
def compare_resumes(content:str, nameA="", nameB=""): | |
retries = 3 | |
choice = 0 | |
while retries > 0: | |
try: | |
response = openai.ChatCompletion.create( | |
model='gpt-4-0613', | |
messages=[ | |
{"role": "user", "content": | |
""" | |
You are an LLM recrutier who will choose between two candidates based on an provided rubric, | |
you will only use bullet point and broken english instead of proper english to be more concise in your justification | |
You will also provide args for selectCandidate | |
""" | |
}, | |
{"role": "assistant", "content": | |
""" | |
I can assist you in evaluating two candidates based on a provided rubric. | |
Provide me with the rubric or the criteria you'd like to use for the evaluation, | |
and I'll help you assess the candidates accordingly and explain myself conscisely and will | |
provide args for selectCandidate | |
""" | |
}, | |
{"role": "user", "content": content} | |
], | |
functions=[ | |
{ | |
"name": "selectCanidate", | |
"description": "choose between the two canidates", | |
"parameters": { | |
"type": "object", | |
"properties": { | |
"choice_num": { | |
"type": "integer", | |
"description": "1 for Candidate A is the best fit, 2 for Candidate B is the best fit", | |
"required": ["choice_num"], | |
}, | |
"justifcation": { | |
"type": "string", | |
"description": "justifcation for why you chose the candidate", | |
"required": ["justifcation"], | |
}, | |
} | |
}, | |
} | |
], | |
function_call="auto", | |
) | |
message = response["choices"][0]["message"] | |
if message.get("function_call"): | |
function_name = message["function_call"]["name"] | |
function_args = json.loads(message["function_call"]["arguments"]) | |
choice = (int(function_args["choice_num"])) | |
if function_name == "selectCanidate": | |
if choice == 1: | |
choice = -1 | |
printc(nameA+" wins over "+nameB, "cyan") | |
elif choice == 2: | |
choice = 1 | |
printc(nameB+" wins over "+nameA, "green") | |
printc(function_args["justifcation"], "yellow") | |
break # Break the loop if everything went well | |
except Exception as e: | |
printc("Error: " + str(e), "red") | |
retries -= 1 | |
if retries == 0: | |
printc("Maximum retries reached.", "red") | |
return 0 # Or any other default value or error indicator | |
return choice | |
def get_rubric(): | |
text = open("rubric.txt","r").read() | |
return "\nRubric:\n" +str(text)+"\nEND Rubric\n" | |
def comp(candidateA:JobCandidate, candidateB:JobCandidate, rub_id:int=0 ) -> int: | |
comp_table= json.load(open("comparisons.json","r")) | |
tag= (candidateA.email+"#"+candidateB.email+"#"+str(rub_id)) | |
inv_tag= (candidateB.email+"#"+candidateA.email+"#"+str(rub_id)) | |
if tag in comp_table: | |
if comp_table[tag]==1: | |
printc(candidateA.name+" wins over "+candidateB.name,"magenta") | |
elif comp_table[tag]==-1: | |
printc(candidateB.name+" wins over "+candidateA.name,"magenta") | |
return comp_table[tag] | |
elif inv_tag in comp_table: | |
if comp_table[inv_tag]==1: | |
printc(candidateA.name+" wins over "+candidateB.name,"magenta") | |
elif comp_table[inv_tag]==-1: | |
printc(candidateB.name+" wins over "+candidateA.name,"magenta") | |
else: | |
choice = compare_resumes(getContent(candidateA, candidateB), candidateA.name, candidateB.name) | |
comp_table[tag]=choice | |
comp_table[inv_tag]=choice*-1 | |
json.dump(comp_table, open("comparisons.json","w")) | |
return choice | |
def compute_scores(candidates): | |
scores = {candidate.email: 0 for candidate in candidates} | |
for i, candidateA in enumerate(candidates): | |
for candidateB in candidates[i+1:]: | |
result = comp(candidateA, candidateB) | |
scores[candidateA.email] += result | |
scores[candidateB.email] -= result | |
print(scores) | |
return scores | |
def bubble_sort(candidates: list) -> list: | |
scores = compute_scores(candidates) | |
return sorted(candidates, key=lambda x: scores[x.email]) |