Spaces:
Runtime error
Runtime error
File size: 8,586 Bytes
f708190 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 |
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import databases
import sqlalchemy
from sqlalchemy.sql import select, and_
from fuzzywuzzy import process
import urllib.parse
import os
from dotenv import load_dotenv
import json
from sqlalchemy import create_engine, MetaData, Table, Column, Integer, String, DateTime, Boolean, Text, JSON
import time
from datetime import datetime
load_dotenv()
class JobQuery(BaseModel):
budget: str
experience: str
startDate: str
workType: str
semanticSearchString: str
username = urllib.parse.quote_plus('trial_user')
password = urllib.parse.quote_plus('trial_user_12345#')
host = '35.224.61.48'
port = '3306'
database_name = 'MERCOR_TRIAL_SCHEMA'
DATABASE_URL = f"mysql://{username}:{password}@{host}:{port}/{database_name}"
database = databases.Database(DATABASE_URL)
metadata = sqlalchemy.MetaData()
skills = sqlalchemy.Table(
"Skills",
metadata,
sqlalchemy.Column("skillId", sqlalchemy.String, primary_key=True),
sqlalchemy.Column("skillName", sqlalchemy.String),
sqlalchemy.Column("skillValue", sqlalchemy.String, unique=True),
)
jobs = sqlalchemy.Table(
"MercorUsers",
metadata,
sqlalchemy.Column("userId", sqlalchemy.String, primary_key=True),
sqlalchemy.Column("email", sqlalchemy.String, unique=True),
sqlalchemy.Column("name", sqlalchemy.String),
sqlalchemy.Column("phone", sqlalchemy.String),
sqlalchemy.Column("residence", JSON),
sqlalchemy.Column("profilePic", Text),
sqlalchemy.Column("createdAt", DateTime),
sqlalchemy.Column("lastLogin", DateTime),
sqlalchemy.Column("notes", Text),
sqlalchemy.Column("referralCode", sqlalchemy.String, unique=True),
sqlalchemy.Column("isGptEnabled", sqlalchemy.Boolean),
sqlalchemy.Column("preferredRole", sqlalchemy.String),
sqlalchemy.Column("fullTimeStatus", sqlalchemy.String),
sqlalchemy.Column("workAvailability", sqlalchemy.String),
sqlalchemy.Column("fullTimeSalaryCurrency", sqlalchemy.String),
sqlalchemy.Column("fullTimeSalary", sqlalchemy.String),
sqlalchemy.Column("partTimeSalaryCurrency", sqlalchemy.String),
sqlalchemy.Column("partTimeSalary", sqlalchemy.String),
sqlalchemy.Column("fullTime", sqlalchemy.Boolean),
sqlalchemy.Column("fullTimeAvailability", sqlalchemy.Integer),
sqlalchemy.Column("partTime", sqlalchemy.Boolean),
sqlalchemy.Column("partTimeAvailability", sqlalchemy.Integer),
sqlalchemy.Column("w8BenUrl", JSON),
sqlalchemy.Column("tosUrl", Text),
sqlalchemy.Column("policyUrls", JSON),
sqlalchemy.Column("isPreVetted", sqlalchemy.Boolean),
sqlalchemy.Column("isActive", sqlalchemy.Boolean),
sqlalchemy.Column("isComplete", sqlalchemy.Boolean),
sqlalchemy.Column("summary", Text),
sqlalchemy.Column("preVettedAt", DateTime)
)
MercorUserSkills = sqlalchemy.Table(
"MercorUserSkills",
metadata,
sqlalchemy.Column("userId", sqlalchemy.String, sqlalchemy.ForeignKey("MercorUsers.userId"), primary_key=True),
sqlalchemy.Column("skillId", sqlalchemy.String, sqlalchemy.ForeignKey("Skills.skillId"), primary_key=True),
sqlalchemy.Column("isPrimary", sqlalchemy.Boolean, default=False),
sqlalchemy.Column("order", Integer, default=0)
)
UserResume = sqlalchemy.Table(
"UserResume",
metadata,
sqlalchemy.Column("resumeId", sqlalchemy.String, primary_key=True),
sqlalchemy.Column("userId", sqlalchemy.String, sqlalchemy.ForeignKey("MercorUsers.userId")),
sqlalchemy.Column("url", Text),
sqlalchemy.Column("filename", String),
sqlalchemy.Column("createdAt", DateTime),
sqlalchemy.Column("updatedAt", DateTime),
sqlalchemy.Column("source", String),
sqlalchemy.Column("ocrText", Text),
sqlalchemy.Column("ocrEmail", String),
sqlalchemy.Column("ocrGithubUsername", String),
sqlalchemy.Column("resumeBasedQuestions", Text),
sqlalchemy.Column("isInvitedToInterview", Boolean),
sqlalchemy.Column("reminderTasksIds", JSON)
)
WorkExperience = sqlalchemy.Table(
"WorkExperience",
metadata,
sqlalchemy.Column("workExperienceId", sqlalchemy.String, primary_key=True),
sqlalchemy.Column("company", String),
sqlalchemy.Column("role", String),
sqlalchemy.Column("startDate", String),
sqlalchemy.Column("endDate", String),
sqlalchemy.Column("description", Text),
sqlalchemy.Column("locationCity", String),
sqlalchemy.Column("locationCountry", String),
sqlalchemy.Column("resumeId", String, sqlalchemy.ForeignKey("UserResume.resumeId"))
)
app = FastAPI()
# Configure CORS
origins = [
"http://localhost:3000", # Adjust this to the URL of your frontend
"http://127.0.0.1:3000"
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.on_event("startup")
async def startup():
await database.connect()
@app.on_event("shutdown")
async def shutdown():
await database.disconnect()
@app.post("/query-jobs/")
async def query_jobs(query: JobQuery):
start_time = time.time() # Start timing
# Fetch and match skills
all_skills = await database.fetch_all(select(skills.c.skillId, skills.c.skillName))
skills_dict = {skill['skillName']: skill['skillId'] for skill in all_skills}
matching_skills = process.extract(query.semanticSearchString, skills_dict.keys(), limit=10)
matching_skill_ids = [skills_dict[skill[0]] for skill in matching_skills if skill[1] > 70]
if not matching_skill_ids:
return {"message": "No skills matched your query.", "query": query.semanticSearchString}
user_skill_query = select(MercorUserSkills.c.userId).where(MercorUserSkills.c.skillId.in_(matching_skill_ids)).distinct()
user_ids = await database.fetch_all(user_skill_query)
user_ids = [user['userId'] for user in user_ids]
if not user_ids:
return {"message": "No users found with the matching skills."}
user_query = (
select(jobs)
.where(jobs.c.userId.in_(user_ids), jobs.c.fullTimeSalary <= int(query.budget))
.order_by(jobs.c.fullTimeSalary.desc()) # Sorting by fullTimeSalary descending
.limit(4) # Limiting to 4 results
)
users_with_skills = await database.fetch_all(user_query)
result = []
for user in users_with_skills:
user_skills_query = select(skills.c.skillName).join(MercorUserSkills, skills.c.skillId == MercorUserSkills.c.skillId).where(MercorUserSkills.c.userId == user['userId'])
user_skills = await database.fetch_all(user_skills_query)
user_skills_list = [skill['skillName'] for skill in user_skills]
# Fetch resume ID for user
resume_query = select(UserResume.c.resumeId).where(UserResume.c.userId == user['userId'])
resume_id = await database.fetch_one(resume_query)
# Fetch and process work experience
experience_query = select(WorkExperience).where(WorkExperience.c.resumeId == resume_id['resumeId'])
experiences = await database.fetch_all(experience_query)
companies = set()
total_experience = 0
for exp in experiences:
companies.add(exp['company'])
# Calculate duration
start_date = datetime.strptime(exp['startDate'], '%Y') if exp['startDate'] else None
end_date = datetime.strptime(exp['endDate'], '%Y') if exp['endDate'] else datetime.now()
if start_date:
duration_years = (end_date.year - start_date.year)
total_experience += duration_years
experiences_list = [{'company': exp['company'], 'role': exp['role'], 'startDate': exp['startDate'], 'endDate': exp['endDate']} for exp in experiences]
result.append({
"user_id": user['userId'],
"name": user['name'],
"email": user['email'],
"skills": user_skills_list,
"full_time_salary": user['fullTimeSalary'],
"companies": list(companies),
"total_experience_years": total_experience
})
execution_time = time.time() - start_time # Calculate execution time
return {"users": result, "execution_time": execution_time}
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)
|