Spaces:
Sleeping
Sleeping
File size: 1,324 Bytes
7ad07ce 586b608 7ad07ce 586b608 7ad07ce | 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 | import os
from app.graph import graph
import uuid
jd_text="""Job Title: Backend Developer
Company name: CodeForge
We are hiring a Backend Developer to build scalable APIs and backend systems.
Responsibilities:
- Develop REST APIs using FastAPI
- Design and manage PostgreSQL databases
- Implement authentication and authorization systems
- Optimize performance and scalability
Requirements:
- Strong knowledge of Python
- Experience with FastAPI or Django
- Good understanding of SQL and database design
- Familiarity with Docker
Constraints:
- Location: Pune only
- Full-time role """
initial_input = {
"candidate_name": "Chirayu Jain",
"resume_text": None,
"job_description": jd_text,
"file_path": r"C:\Users\ATHARVA\Downloads\my codes\web\AdaptiveEngineService\AI_Engine_Evaluation\Testcases\Testresume\ChirayuResume.pdf",
"resume_data": None,
"extraction_error": None,
"JobDescriptionExtract_data": None,
"skill_gap_analysis_data": None
}
THREAD_ID = str(uuid.uuid4())
config = {"configurable": {"thread_id": THREAD_ID}}
# Change THREAD_ID to config
# final_result = graph.invoke(initial_input, config=config)
# print(final_result['resume_data'])
# print()
# print(final_result['skill_gap_analysis_data'])
# print()
# print(final_result['final_roadmap'])
|