3b5d9fd940
Features: - FastAPI backend for scraping attendance and journey book data - Deterministic kilometer distribution with random variance - Refueling form filling with km values - Next.js frontend with date range selector - Docker deployment setup 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
import re
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import requests
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from bs4 import BeautifulSoup
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from typing import List
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class AttendanceScraper:
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def __init__(self, username: str, password: str):
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self.username = username
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self.password = password
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self.base_url = "https://agenda.colsys.cz/dochazka/index.php"
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@staticmethod
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def normalize_date(date_str: str) -> str:
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return re.sub(r'\s+', '', date_str)
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def scrape_month(self, month: str) -> List[str]:
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"""
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Scrape attendance data for a given month.
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Returns list of dates with sick days, vacation, or unpaid leave.
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"""
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url = f"{self.base_url}?kdy={month}-01"
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response = requests.get(url, auth=(self.username, self.password), verify=False)
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response.raise_for_status()
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soup = BeautifulSoup(response.content, 'html.parser')
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table = soup.find('table', class_='restrikce')
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if not table:
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raise ValueError("Attendance table not found")
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attendance_dates = []
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for row in table.find_all('tr')[1:]:
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cells = row.find_all('td')
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if len(cells) >= 3:
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date = cells[0].text.strip()
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presence = cells[2].text.strip()
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if ("sick day" in presence.lower() or
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"dovolená" in presence.lower() or
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"neplacené volno" in presence.lower()):
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attendance_dates.append(self.normalize_date(date))
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return attendance_dates
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