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main.py
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main.py
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import re
from io import BytesIO
from typing import Any
from typing import Dict, List
from typing import Optional
from fastapi import FastAPI
from fastapi import File, UploadFile
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from pypdf import PdfReader
app: FastAPI = FastAPI()
class GradeModel(BaseModel):
value: float
class AssessmentModel(BaseModel):
type: str
coefficient: float
class AssessmentWithGradeModel(BaseModel):
assessment: AssessmentModel
grade: GradeModel
class SubjectModel(BaseModel):
name: str
coefficient: float
assessments: List[AssessmentWithGradeModel]
class TeachingUnitModel(BaseModel):
name: str
coefficient: float
subjects: Dict[str, SubjectModel]
class SemesterModel(BaseModel):
name: str
ues: Dict[str, TeachingUnitModel]
class StudentModel(BaseModel):
semesters: Dict[str, SemesterModel]
def extract_data_from_pdf(file: bytes) -> List[Dict[str, Optional[str]]]:
regex_pattern = r"(2\d{7})\D*(\d+(\.\d+)?)?"
data = []
with BytesIO(file) as pdf_buffer:
pdf = PdfReader(pdf_buffer)
for page_number in range(len(pdf.pages)):
page = pdf.pages[page_number]
text = page.extract_text()
for line in text.split('\n'):
match = re.search(regex_pattern, line)
if match:
student_number = match.group(1)
note = match.group(2) if match.group(2) else None
if note is None:
continue
entry = {"studentNumber": student_number, "value": note}
data.append(entry)
return data
@app.get("/")
def read_root() -> Dict[str, str]:
return {"message": "Tout fonctionne correctement"}
@app.post("/upload-pdf/")
async def upload_pdf(file: UploadFile = File(...)):
try:
file_bytes = await file.read()
return extract_data_from_pdf(file_bytes)
except Exception as e:
return JSONResponse(content={"error": str(e)}, status_code=500)
@app.post("/calculate_averages/")
def calculate_averages_endpoint(organized_grades: StudentModel):
student_data = organized_grades.dict()
return calculate_averages(student_data)
def calculate_average_for_group(group: Dict[str, float], num_assessments: int) -> float:
return group["total"] / num_assessments
def calculate_subject_average(assessments: List[AssessmentWithGrade], subject_coefficient: float) -> float:
assessment_groups = {}
for ag in assessments:
if ag.assessment.type not in assessment_groups:
assessment_groups[ag.assessment.type] = {"total": 0, "coefficient": 0}
assessment_groups[ag.assessment.type]["total"] += ag.grade.value
assessment_groups[ag.assessment.type]["coefficient"] += ag.assessment.coefficient
subject_total = 0
subject_coefficient_sum = 0
for type, group in assessment_groups.items():
num_assessments = len([a for a in assessments if a.assessment.type == type])
average_for_type = calculate_average_for_group(group, num_assessments)
subject_total += average_for_type * (group["coefficient"] / num_assessments)
subject_coefficient_sum += group["coefficient"] / num_assessments
return subject_total / subject_coefficient_sum
def calculate_ue_average(subjects: Dict[str, Subject]) -> Dict[str, Any]:
ue_total = 0
ue_coefficient_sum = 0
subject_averages = {}
for subject_id, subject in subjects.items():
subject_average = calculate_subject_average(subject.assessments, subject.coefficient)
subject_averages[subject_id] = {
"average": subject_average,
"name": subject.name,
"assessments": [
{"type": ag.assessment.type, "value": ag.grade.value, "coefficient": ag.assessment.coefficient} for ag
in subject.assessments]
}
ue_total += subject_average * subject.coefficient
ue_coefficient_sum += subject.coefficient
ue_average = ue_total / ue_coefficient_sum
return {"average": ue_average, "subjects": subject_averages}
def calculate_semester_average(teaching_units: Dict[str, TeachingUnit]) -> Dict[str, Any]:
semester_total = 0
semester_coefficient_sum = 0
ue_averages = {}
for teaching_unit_id, teaching_unit in teaching_units.items():
ue_average_data = calculate_ue_average(teaching_unit.subjects)
ue_averages[teaching_unit_id] = ue_average_data
semester_total += ue_average_data["average"]
semester_coefficient_sum += 1
return {"average": semester_total / semester_coefficient_sum, "ues": ue_averages}
def calculate_averages(student_data: Dict[str, Any]) -> Dict[str, Any]:
averages = {"semesters": {}}
for semester_name, semester_data in student_data["semesters"].items():
semester_average_data = calculate_semester_average(semester_data["ues"])
averages["semesters"][semester_name] = semester_average_data
return averages