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from sqlalchemy.orm import Session
from typing import List
import json
from database.database import get_db
from schemas import ApplicationCreate, ApplicationUpdate, ApplicationResponse, ApplicationListResponse, ApplicationDetailedResponse, ApplicationDetailedListResponse, MyApplicationsListResponse, MyApplicationResponse, MyApplicationsJob, MyApplicationsAssessment, ApplicationAssessment
from services import create_application, get_application, get_applications_by_job_and_assessment, calculate_application_score, get_applications_by_user, get_application_by_user
from services.assessment_service import get_assessment
from services.job_service import get_job
from utils.dependencies import get_current_user
from models.user import User
from logging_config import get_logger
# Create logger for this module
logger = get_logger(__name__)
router = APIRouter(prefix="/applications", tags=["applications"])
@router.get("/jobs/{jid}/assessments/{aid}")
def get_applications_list(jid: str, aid: str, page: int = 1, limit: int = 10, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
"""Get list of applications for an assessment"""
logger.info(f"Retrieving applications list for job ID: {jid}, assessment ID: {aid}, page: {page}, limit: {limit} by user: {current_user.id}")
# Only HR users can view applications
if current_user.role != "hr":
logger.warning(f"Unauthorized attempt to view applications by user: {current_user.id} with role: {current_user.role}")
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only HR users can view applications"
)
skip = (page - 1) * limit
applications = get_applications_by_job_and_assessment(db, jid, aid, skip=skip, limit=limit)
# Calculate total count
total = len(get_applications_by_job_and_assessment(db, jid, aid, skip=0, limit=1000)) # Simplified for demo
# Get the assessment to retrieve the passing score
assessment = get_assessment(db, aid)
if not assessment:
logger.error(f"Assessment not found for ID: {aid}")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Assessment not found"
)
# Calculate scores and create responses
application_responses = []
for application in applications:
# Calculate score
score = calculate_application_score(db, application.id)
# Get user information
from services.user_service import get_user
user = get_user(db, application.user_id)
# Parse question scores from JSON string
question_scores = []
if application.question_scores:
try:
question_scores = json.loads(application.question_scores)
except json.JSONDecodeError:
logger.warning(f"Failed to parse question scores for application ID: {application.id}")
question_scores = []
# Create response object that matches technical requirements exactly
application_response = {
'id': application.id,
'job_id': application.job_id,
'assessment_id': application.assessment_id,
'user_id': application.user_id,
'answers': [], # Not including answers in the list view for performance
'score': score,
'passing_score': assessment.passing_score,
'question_scores': question_scores, # Include individual question scores
'assessment_details': {
'id': assessment.id,
'title': assessment.title,
'passing_score': assessment.passing_score,
'created_at': None # Assessment model doesn't have created_at field
},
'user': {
'id': user.id if user else None,
'first_name': user.first_name if user else None,
'last_name': user.last_name if user else None,
'email': user.email if user else None
} if user else None
}
application_responses.append(application_response)
logger.info(f"Successfully retrieved {len(applications)} applications out of total {total} for job ID: {jid}, assessment ID: {aid}")
return {
'count': len(applications),
'total': total,
'data': application_responses
}
@router.get("/jobs/{jid}/assessment_id/{aid}/applications/{id}", response_model=ApplicationDetailedResponse)
def get_application_detail(jid: str, aid: str, id: str, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
"""Get detailed application information including answers"""
logger.info(f"Retrieving application detail for job ID: {jid}, assessment ID: {aid}, application ID: {id} by user: {current_user.id}")
# Get the application
application = get_application(db, id)
if not application or application.job_id != jid or application.assessment_id != aid:
logger.warning(f"Application not found for job ID: {jid}, assessment ID: {aid}, application ID: {id}")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Application not found for this job and assessment"
)
# Authorization: Allow HR users or the applicant who owns the application
if current_user.role != "hr" and current_user.id != application.user_id:
logger.warning(f"Unauthorized attempt to view application detail by user: {current_user.id} with role: {current_user.role}")
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only HR users or the applicant who submitted the application can view application details"
)
# Get the assessment to retrieve the passing score
assessment = get_assessment(db, aid)
if not assessment:
logger.error(f"Assessment not found for ID: {aid}")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Assessment not found"
)
# Calculate score
score = calculate_application_score(db, application.id)
# Get user information
from services.user_service import get_user
user = get_user(db, application.user_id)
# Parse answers from JSON string
import json
answers = json.loads(application.answers) if application.answers else []
# Get the assessment questions to enrich the answers with question details
assessment_questions = json.loads(assessment.questions) if assessment.questions else []
question_map = {q['id']: q for q in assessment_questions}
# Enrich answers with question details and rationales
enriched_answers = []
for answer in answers:
question_id = answer.get('question_id')
question_data = question_map.get(question_id, {})
# For text-based questions, we might want to add rationale from AI scoring
rationale = 'No rationale available'
if question_data.get('type') == 'text_based':
# Use AI service to get rationale for text-based answers
from schemas.assessment import AssessmentQuestion, AssessmentQuestionOption
from schemas.enums import QuestionType
# Create a temporary question object for AI scoring
temp_question = AssessmentQuestion(
id=question_data['id'],
text=question_data['text'],
weight=question_data['weight'],
skill_categories=question_data['skill_categories'],
type=QuestionType(question_data['type']),
options=[AssessmentQuestionOption(text=opt['text'], value=opt['value']) for opt in question_data.get('options', [])],
correct_options=question_data.get('correct_options', [])
)
from services.ai_service import score_answer
try:
score_result = score_answer(
question=temp_question,
answer_text=answer.get('text', ''),
selected_options=answer.get('options', [])
)
rationale = score_result.get('rationale', 'No rationale provided') or 'No rationale provided'
except Exception:
rationale = 'Unable to generate rationale'
# Create an ApplicationAnswerWithQuestion object with proper field assignments
# The 'options' field in the parent class refers to selected options (List[str])
# The 'question_options' field in the child class refers to question options (List[dict])
from schemas.application import ApplicationAnswerWithQuestion
from schemas.enums import QuestionType
enriched_answer = ApplicationAnswerWithQuestion(
question_id=answer.get('question_id'),
text=answer.get('text'),
options=answer.get('options', []), # Selected options from the applicant (List[str])
question_text=question_data.get('text', ''),
weight=question_data.get('weight', 1),
skill_categories=question_data.get('skill_categories', []),
type=QuestionType(question_data.get('type', 'text_based')), # Convert to enum
question_options=question_data.get('options', []), # Question's possible options (List[dict])
correct_options=question_data.get('correct_options', []),
rationale=rationale
)
# Add the selected options as an additional attribute if needed
# But for now, we'll rely on the schema as defined
enriched_answers.append(enriched_answer)
# Create the detailed response
assessment_details_obj = None
if assessment:
try:
assessment_details_obj = ApplicationAssessment(
id=assessment.id,
title=assessment.title,
passing_score=assessment.passing_score,
created_at=None # Assessment model doesn't have created_at field
)
except Exception as e:
logger.error(f"Error creating assessment details: {str(e)}")
assessment_details_obj = None
# Parse question scores from JSON string
question_scores = []
if application.question_scores:
try:
question_scores = json.loads(application.question_scores)
except json.JSONDecodeError:
logger.warning(f"Failed to parse question scores for application ID: {application.id}")
question_scores = []
application_detail = ApplicationDetailedResponse(
id=application.id,
job_id=application.job_id,
assessment_id=application.assessment_id,
user_id=application.user_id,
answers=enriched_answers,
score=score,
passing_score=assessment.passing_score,
question_scores=question_scores, # Include individual question scores
assessment_details=assessment_details_obj,
user={
'id': user.id if user else None,
'first_name': user.first_name if user else None,
'last_name': user.last_name if user else None,
'email': user.email if user else None
} if user else None
)
logger.info(f"Successfully retrieved application detail for job ID: {jid}, assessment ID: {aid}, application ID: {id}")
return application_detail
@router.post("/jobs/{jid}/assessments/{aid}", response_model=dict) # Returns just id as per requirements
def create_new_application(jid: str, aid: str, application: ApplicationCreate, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
"""Create a new application for an assessment"""
logger.info(f"Creating new application for job ID: {jid}, assessment ID: {aid}, user ID: {application.user_id} by user: {current_user.id}")
# Only applicant users can create applications
if current_user.role != "applicant":
logger.warning(f"Unauthorized attempt to create application by user: {current_user.id} with role: {current_user.role}")
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Only applicant users can submit applications"
)
# Ensure the user submitting the application is the same as the one in the request
if current_user.id != application.user_id:
logger.warning(f"User {current_user.id} attempted to submit application for user {application.user_id}")
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Cannot submit application for another user"
)
# Validate that the job and assessment exist and match
assessment_obj = get_assessment(db, aid)
if not assessment_obj or assessment_obj.job_id != jid:
logger.warning(f"Assessment not found for job ID: {jid}, assessment ID: {aid}")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Assessment not found for this job"
)
db_application = create_application(db, application)
logger.info(f"Successfully created application with ID: {db_application.id} for job ID: {jid}, assessment ID: {aid}")
return {"id": db_application.id}
@router.get("/my-applications", response_model=MyApplicationsListResponse)
def get_my_applications(page: int = 1, limit: int = 10, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
"""Get list of applications for the current logged-in user"""
logger.info(f"Retrieving applications for user ID: {current_user.id}, page: {page}, limit: {limit}")
skip = (page - 1) * limit
applications = get_applications_by_user(db, current_user.id, skip=skip, limit=limit)
# Calculate total count
total = len(get_applications_by_user(db, current_user.id, skip=0, limit=1000)) # Simplified for demo
# Create responses with job and assessment details
application_responses = []
for application in applications:
# Calculate score
score = calculate_application_score(db, application.id)
# Get assessment to retrieve passing score
assessment = get_assessment(db, application.assessment_id)
# Get job details
job = get_job(db, application.job_id)
# Create response object that matches technical requirements exactly
application_response = MyApplicationResponse(
id=application.id,
job=MyApplicationsJob(
id=job.id if job else "",
title=job.title if job else "",
seniority=job.seniority if job else "",
description=job.description if job else ""
) if job else None,
assessment=MyApplicationsAssessment(
id=assessment.id if assessment else "",
title=assessment.title if assessment else "",
passing_score=assessment.passing_score if assessment else 0.0
) if assessment else None,
score=score,
created_at=application.created_at.isoformat() if application.created_at else None
)
application_responses.append(application_response)
logger.info(f"Successfully retrieved {len(applications)} applications out of total {total} for user ID: {current_user.id}")
return MyApplicationsListResponse(
count=len(applications),
total=total,
data=application_responses
)
@router.get("/my-applications/{id}", response_model=ApplicationDetailedResponse)
def get_my_application(id: str, db: Session = Depends(get_db), current_user: User = Depends(get_current_user)):
"""Get a specific application by ID for the current logged-in user"""
logger.info(f"Retrieving application with ID: {id} for user ID: {current_user.id}")
# Get the application for the current user
application = get_application_by_user(db, id, current_user.id)
if not application:
logger.warning(f"Application not found for ID: {id} and user ID: {current_user.id}")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Application not found or does not belong to the current user"
)
# Get the assessment to retrieve the passing score
assessment = get_assessment(db, application.assessment_id)
if not assessment:
logger.error(f"Assessment not found for ID: {application.assessment_id}")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Assessment not found"
)
# Calculate score
score = calculate_application_score(db, application.id)
# Get user information
from services.user_service import get_user
user = get_user(db, application.user_id)
# Parse answers from JSON string
import json
answers = json.loads(application.answers) if application.answers else []
# Get the assessment questions to enrich the answers with question details
assessment_questions = json.loads(assessment.questions) if assessment.questions else []
question_map = {q['id']: q for q in assessment_questions}
# Enrich answers with question details and rationales
enriched_answers = []
for answer in answers:
question_id = answer.get('question_id')
question_data = question_map.get(question_id, {})
# For text-based questions, we might want to add rationale from AI scoring
rationale = 'No rationale available'
if question_data.get('type') == 'text_based':
# Use AI service to get rationale for text-based answers
from schemas.assessment import AssessmentQuestion, AssessmentQuestionOption
from schemas.enums import QuestionType
# Create a temporary question object for AI scoring
temp_question = AssessmentQuestion(
id=question_data['id'],
text=question_data['text'],
weight=question_data['weight'],
skill_categories=question_data['skill_categories'],
type=QuestionType(question_data['type']),
options=[AssessmentQuestionOption(text=opt['text'], value=opt['value']) for opt in question_data.get('options', [])],
correct_options=question_data.get('correct_options', [])
)
from services.ai_service import score_answer
try:
score_result = score_answer(
question=temp_question,
answer_text=answer.get('text', ''),
selected_options=answer.get('options', [])
)
rationale = score_result.get('rationale', 'No rationale provided') or 'No rationale provided'
except Exception:
rationale = 'Unable to generate rationale'
# Create an ApplicationAnswerWithQuestion object with proper field assignments
# The 'options' field in the parent class refers to selected options (List[str])
# The 'question_options' field in the child class refers to question options (List[dict])
from schemas.application import ApplicationAnswerWithQuestion
from schemas.enums import QuestionType
enriched_answer = ApplicationAnswerWithQuestion(
question_id=answer.get('question_id'),
text=answer.get('text'),
options=answer.get('options', []), # Selected options from the applicant (List[str])
question_text=question_data.get('text', ''),
weight=question_data.get('weight', 1),
skill_categories=question_data.get('skill_categories', []),
type=QuestionType(question_data.get('type', 'text_based')), # Convert to enum
question_options=question_data.get('options', []), # Question's possible options (List[dict])
correct_options=question_data.get('correct_options', []),
rationale=rationale
)
# Add the selected options as an additional attribute if needed
# But for now, we'll rely on the schema as defined
enriched_answers.append(enriched_answer)
# Create the detailed response
assessment_details_obj = None
if assessment:
try:
assessment_details_obj = ApplicationAssessment(
id=assessment.id,
title=assessment.title,
passing_score=assessment.passing_score,
created_at=None # Assessment model doesn't have created_at field
)
except Exception as e:
logger.error(f"Error creating assessment details: {str(e)}")
assessment_details_obj = None
# Parse question scores from JSON string
question_scores = []
if application.question_scores:
try:
question_scores = json.loads(application.question_scores)
except json.JSONDecodeError:
logger.warning(f"Failed to parse question scores for application ID: {application.id}")
question_scores = []
application_detail = ApplicationDetailedResponse(
id=application.id,
job_id=application.job_id,
assessment_id=application.assessment_id,
user_id=application.user_id,
answers=enriched_answers,
score=score,
passing_score=assessment.passing_score,
question_scores=question_scores, # Include individual question scores
assessment_details=assessment_details_obj,
user={
'id': user.id if user else None,
'first_name': user.first_name if user else None,
'last_name': user.last_name if user else None,
'email': user.email if user else None
} if user else None
)
logger.info(f"Successfully retrieved application with ID: {id} for user ID: {current_user.id}")
return application_detail
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