2022-11-02 23:21:08 +01:00
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import datetime
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2022-06-13 00:16:07 +02:00
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from collections import defaultdict
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2022-11-02 23:21:08 +01:00
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from io import BytesIO
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from itertools import chain
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from typing import Generator, Any, List
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2022-05-17 22:16:45 +02:00
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import pandas as pd
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2022-11-02 23:21:08 +01:00
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from reportlab.lib import colors
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from reportlab.lib.enums import TA_CENTER
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from reportlab.lib.styles import getSampleStyleSheet
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from reportlab.lib.units import mm, inch
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from reportlab.platypus import SimpleDocTemplate, Paragraph, PageBreak, Table
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2022-05-17 22:16:45 +02:00
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from .exceptions import InvalidNameOrTypeHeaderException
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from ..students.models import Student
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2022-11-12 16:18:07 +01:00
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# from ..examination_schedule.models import Enrollment
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2022-05-17 22:16:45 +02:00
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2022-05-19 18:15:11 +02:00
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def check_columns(df: pd.DataFrame) -> bool:
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headers = set(df.keys().values)
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2022-06-12 22:20:10 +02:00
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columns = ['NAZWISKO', 'IMIE', 'INDEKS', 'PESEL', 'EMAIL']
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2022-06-12 21:20:11 +02:00
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2022-05-19 18:15:11 +02:00
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if len(headers - set(columns)) != 0:
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return False
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2022-05-17 22:16:45 +02:00
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flag = True
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2022-06-12 21:20:11 +02:00
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col_types = ['object', 'object', 'int', 'float64', 'object']
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2022-05-19 18:15:11 +02:00
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2022-05-17 22:16:45 +02:00
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for name, col_type in zip(columns, col_types):
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2022-05-19 18:15:11 +02:00
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if not str(df.dtypes[name]).startswith(col_type):
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2022-05-17 22:16:45 +02:00
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flag = False
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break
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return flag
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2022-06-12 19:01:16 +02:00
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def parse_csv(file, mode) -> Generator[Student, Any, None]:
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2022-06-12 22:20:10 +02:00
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df = pd.read_csv(file)
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2022-05-17 22:16:45 +02:00
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2022-06-13 00:16:07 +02:00
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if not check_columns(df):
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raise InvalidNameOrTypeHeaderException
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2022-05-17 22:16:45 +02:00
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2022-06-12 22:20:10 +02:00
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students = (Student(last_name=dict(item.items())['NAZWISKO'],
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first_name=dict(item.items())['IMIE'],
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index=dict(item.items())['INDEKS'],
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2022-06-13 00:16:07 +02:00
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pesel=str(int(dict(item.items())['PESEL'])) if not pd.isna(
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dict(item.items())['PESEL']) else None,
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email=dict(item.items())['EMAIL'],
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mode=mode)
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for _, item in df.iterrows())
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return students
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2022-06-13 00:16:07 +02:00
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def generate_csv(students: List[Student]) -> str:
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headers = ['PESEL', 'INDEKS', 'IMIE', 'NAZWISKO', 'EMAIL', 'CDYD_KOD', 'PRZ_KOD', 'TZAJ_KOD', 'GR_NR', 'PRG_KOD']
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data = [(student.pesel, student.index, student.first_name, student.last_name, student.email,
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student.group.cdyd_kod, student.group.prz_kod, student.group.tzaj_kod, student.group.project_supervisor_id,
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None) for student in students]
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dataframe = defaultdict(list)
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for row in data:
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for idx, item in enumerate(row):
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dataframe[headers[idx]].append(item)
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df = pd.DataFrame(dataframe)
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return df.to_csv(index=False)
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2022-11-02 23:21:08 +01:00
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2022-11-12 16:18:07 +01:00
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def generate_examination_schedule_pdf_file(title: str, nested_enrollments: List[List[object]]) -> bytes:
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2022-11-02 23:21:08 +01:00
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pagesize = (297 * mm, 210 * mm)
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headers = ["lp.", "Godzina", "Nazwa projektu", "Opiekun", "Zespol", "Komisja"]
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pdf_buffer = BytesIO()
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my_doc = SimpleDocTemplate(
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pdf_buffer,
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pagesize=pagesize,
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topMargin=1 * inch,
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leftMargin=1 * inch,
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rightMargin=1 * inch,
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bottomMargin=1 * inch,
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title=title
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)
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style = getSampleStyleSheet()
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bodyText = style['BodyText']
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bodyText.fontName = 'Helvetica'
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normal = style["Heading1"]
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normal.alignment = TA_CENTER
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flowables = []
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# print(nested_enrollments)
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for enrollments in nested_enrollments:
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if len(enrollments) == 0:
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continue
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date = datetime.datetime.strftime(enrollments[0].start_date, '%d/%m/%Y')
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paragraph_1 = Paragraph(f"{title} ~ {date}", normal)
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flowables.append(paragraph_1)
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data = [headers]
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for idx, e in enumerate(enrollments, start=1):
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new_date = e.start_date + datetime.timedelta(hours=2)
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group_name = e.group.name if e.group is not None else ""
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if group_name != '':
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ps = e.group.project_supervisor
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project_supervisor_fullname = f"{ps.first_name[0]}. {ps.last_name}"
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students = e.group.students
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# print(students)
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team = ", ".join([f"{s.first_name} {s.last_name}" for s in students])
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else:
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project_supervisor_fullname = ""
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team = ""
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members = e.committee.members
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# print(members)
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if len(members) == 0:
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committee = ''
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else:
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members_iter = (f"{m.first_name[0]} {m.last_name}" for m in members)
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if project_supervisor_fullname != '':
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members_iter = chain(members_iter, [project_supervisor_fullname])
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committee = ", ".join(members_iter)
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data.append([str(idx), new_date.strftime("%H:%M"),
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Paragraph(group_name, bodyText),
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Paragraph(project_supervisor_fullname, bodyText),
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Paragraph(team, bodyText),
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Paragraph(committee, bodyText),
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])
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# print(data)
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table = Table(data=data,
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style=[
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('GRID', (0, 0), (-1, -1), 0.5, colors.black),
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('BACKGROUND', (0, 0), (-1, 0), colors.HexColor("#A6F1A6")),
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('BACKGROUND', (0, 0), (1, -1), colors.HexColor("#A6F1A6"))
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],
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colWidths=[0.25 * inch, 0.7 * inch, 1.6 * inch, 1.5 * inch, 4 * inch, 3 * inch]
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)
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flowables.append(table)
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flowables.append(PageBreak())
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my_doc.build(flowables)
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pdf_value = pdf_buffer.getvalue()
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pdf_buffer.close()
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return pdf_value
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