1037 lines
44 KiB
Python
1037 lines
44 KiB
Python
import os
|
|
import logging
|
|
import datetime
|
|
import base64
|
|
import re
|
|
import pandas as pd
|
|
from jinja2 import Environment, FileSystemLoader
|
|
from weasyprint import HTML
|
|
import tempfile
|
|
import shutil
|
|
import time
|
|
from dotenv import load_dotenv
|
|
from fastapi import FastAPI, HTTPException, Depends, BackgroundTasks
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.responses import FileResponse
|
|
from typing import List, Dict, Any, Optional
|
|
from sqlalchemy.orm import Session
|
|
from database import get_db, Job as DBJob, engine, Base
|
|
import math
|
|
import uuid
|
|
|
|
from selenium import webdriver
|
|
from selenium.webdriver.chrome.options import Options
|
|
from selenium.webdriver.common.by import By
|
|
from selenium.webdriver.support.ui import WebDriverWait
|
|
from selenium.webdriver.support import expected_conditions as EC
|
|
from selenium.common.exceptions import TimeoutException, NoSuchElementException
|
|
|
|
# --- Logging Configuration ---
|
|
logging.basicConfig(
|
|
level=logging.DEBUG,
|
|
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
|
|
handlers=[
|
|
logging.StreamHandler()
|
|
]
|
|
)
|
|
logger = logging.getLogger("fotograf-scraper")
|
|
|
|
# Load environment variables
|
|
load_dotenv()
|
|
|
|
# Ensure DB is created
|
|
Base.metadata.create_all(bind=engine)
|
|
|
|
app = FastAPI(title="Fotograf.de Scraper & ERP API")
|
|
|
|
# Configure CORS
|
|
app.add_middleware(
|
|
CORSMiddleware,
|
|
allow_origins=["*"],
|
|
allow_credentials=True,
|
|
allow_methods=["*"],
|
|
allow_headers=["*"],
|
|
)
|
|
|
|
# --- Configuration & Constants ---
|
|
LOGIN_URL = 'https://app.fotograf.de/login/login'
|
|
|
|
SELECTORS = {
|
|
"cookie_accept_button": "#CybotCookiebotDialogBodyLevelButtonLevelOptinAllowAll",
|
|
"login_user": "#login-email",
|
|
"login_pass": "#login-password",
|
|
"login_button": "#login-submit",
|
|
"dashboard_jobs_table_rows": "//tr[.//a[contains(@data-qa-id, 'link:photo-jobs-name-')]]",
|
|
"job_row_name_link": ".//a[contains(@data-qa-id, 'link:photo-jobs-name-')]",
|
|
"job_row_status": ".//td[count(//th[contains(., 'Status')]/preceding-sibling::th) + 1]",
|
|
"job_row_date": ".//td[count(//th[contains(., 'Datum')]/preceding-sibling::th) + 1]",
|
|
"job_row_shooting_type": ".//td[count(//th[contains(., 'Typ')]/preceding-sibling::th) + 1]",
|
|
"export_dropdown": "[data-qa-id='dropdown:export']",
|
|
"export_csv_link": "button[data-qa-id='button:csv']",
|
|
# --- Statistics Selectors ---
|
|
"album_overview_rows": "//table/tbody/tr",
|
|
"album_overview_link": ".//td[2]//a",
|
|
"access_code_count": "//span[text()='Zugangscodes']/following-sibling::strong",
|
|
"person_rows": "//div[contains(@class, 'border-legacy-silver-550') and .//span[text()='Logins']]",
|
|
"person_all_photos": ".//div[@data-key]",
|
|
"person_purchased_photos": ".//div[@data-key and .//img[@alt='Bestellungen mit diesem Foto']]",
|
|
"person_access_card_photo": ".//div[@data-key and contains(@class, 'opacity-50')]",
|
|
"potential_buyer_link": "//a[contains(@href, '/config_customers/view_customer')]",
|
|
"quick_login_url": "//a[@id='quick-login-url']",
|
|
"buyer_email": "//span[contains(., '@')]",
|
|
}
|
|
|
|
# --- PDF Generation Logic ---
|
|
|
|
def get_logo_base64():
|
|
logo_path = os.path.join(os.path.dirname(__file__), "assets", "logo.png")
|
|
logger.debug(f"Loading logo from: {logo_path}")
|
|
try:
|
|
with open(logo_path, "rb") as image_file:
|
|
return base64.b64encode(image_file.read()).decode('utf-8')
|
|
except FileNotFoundError:
|
|
logger.warning(f"Logo file not found at {logo_path}")
|
|
return None
|
|
|
|
def generate_pdf_from_csv(csv_path: str, institution: str, date_info: str, list_type: str, output_path: str):
|
|
logger.info(f"Generating PDF for {institution} from {csv_path}")
|
|
df = None
|
|
for sep in [";", ","]:
|
|
try:
|
|
logger.debug(f"Trying CSV separator: '{sep}'")
|
|
test_df = pd.read_csv(csv_path, sep=sep, encoding="utf-8-sig", nrows=5)
|
|
if len(test_df.columns) > 1:
|
|
df = pd.read_csv(csv_path, sep=sep, encoding="utf-8-sig")
|
|
logger.debug(f"Successfully read CSV with separator '{sep}'")
|
|
break
|
|
except Exception as e:
|
|
logger.debug(f"Failed to read with separator '{sep}': {e}")
|
|
continue
|
|
|
|
if df is None:
|
|
logger.error("Could not read CSV with standard separators.")
|
|
try:
|
|
df = pd.read_csv(csv_path, sep=";", encoding="latin1")
|
|
logger.info("Fallback to latin1 encoding successful.")
|
|
except:
|
|
raise Exception("CSV konnte nicht gelesen werden.")
|
|
|
|
df.columns = df.columns.str.strip().str.replace("\"", "")
|
|
logger.debug(f"CSV Columns: {list(df.columns)}")
|
|
|
|
group_label = "Gruppe" if list_type == 'k' else "Klasse"
|
|
person_label_plural = "Kinder" if list_type == 'k' else "Schüler"
|
|
|
|
col_mapping = {}
|
|
for col in df.columns:
|
|
lower_col = col.lower().strip()
|
|
if lower_col in ["vorname kind", "vorname", "first name"]:
|
|
col_mapping[col] = "Vorname"
|
|
elif lower_col in ["nachname kind", "nachname", "last name"]:
|
|
col_mapping[col] = "Nachname"
|
|
elif lower_col in ["gruppe", "klasse", "group", "class"]:
|
|
col_mapping[col] = group_label
|
|
|
|
df = df.rename(columns=col_mapping)
|
|
df = df.fillna("")
|
|
|
|
for col in ["Vorname", "Nachname", group_label]:
|
|
if col not in df.columns:
|
|
logger.warning(f"Column '{col}' not found in CSV, using default values.")
|
|
df[col] = "Alle" if col == group_label else ""
|
|
|
|
df = df.sort_values(by=[group_label, "Nachname", "Vorname"])
|
|
grouped = df.groupby(group_label)
|
|
|
|
class_data = []
|
|
for class_name, group in grouped:
|
|
class_data.append({"name": class_name, "students": group.to_dict("records")})
|
|
|
|
class_counts = [{"name": c, "count": len(g)} for c, g in grouped]
|
|
total_students = len(df)
|
|
|
|
template_dir = os.path.join(os.path.dirname(__file__), "templates")
|
|
logger.debug(f"Using template directory: {template_dir}")
|
|
env = Environment(loader=FileSystemLoader(template_dir))
|
|
template = env.get_template("school_list.html")
|
|
|
|
current_time = datetime.datetime.now().strftime("%d.%m.%Y %H:%M Uhr")
|
|
logo_base64 = get_logo_base64()
|
|
|
|
render_context = {
|
|
"institution": institution,
|
|
"date_info": date_info,
|
|
"class_counts": class_counts,
|
|
"total_students": total_students,
|
|
"class_data": class_data,
|
|
"current_time": current_time,
|
|
"logo_base64": logo_base64,
|
|
"group_label": group_label,
|
|
"person_label_plural": person_label_plural,
|
|
"group_column_name": group_label
|
|
}
|
|
|
|
logger.debug("Rendering HTML template...")
|
|
html_out = template.render(render_context)
|
|
logger.info(f"Writing PDF to: {output_path}")
|
|
HTML(string=html_out).write_pdf(output_path)
|
|
|
|
def generate_appointment_overview_pdf(raw_events: list, job_name: str, event_type_name: str, output_path: str):
|
|
from collections import defaultdict
|
|
from zoneinfo import ZoneInfo
|
|
|
|
parsed_events = []
|
|
for event in raw_events:
|
|
start_dt = datetime.datetime.fromisoformat(event['start_time'].replace('Z', '+00:00'))
|
|
start_dt = start_dt.astimezone(ZoneInfo("Europe/Berlin"))
|
|
|
|
|
|
num_children = ""
|
|
has_consent = False
|
|
for qa in event.get('questions_and_answers', []):
|
|
q_text = qa.get('question', '').lower()
|
|
a_text = qa.get('answer', '')
|
|
if any(kw in q_text for kw in ["wie viele kinder", "anzahl kinder", "wieviele kinder"]):
|
|
num_children = a_text
|
|
elif any(kw in q_text for kw in ["veröffentlichen", "bilder"]):
|
|
if "ja" in a_text.lower() or "gerne" in a_text.lower():
|
|
has_consent = True
|
|
|
|
parsed_events.append({
|
|
|
|
"dt": start_dt,
|
|
"name": event['invitee_name'],
|
|
"children": num_children,
|
|
"consent": has_consent
|
|
})
|
|
|
|
grouped = defaultdict(list)
|
|
for e in parsed_events:
|
|
date_str = e['dt'].strftime("%d.%m.%Y")
|
|
grouped[date_str].append(e)
|
|
|
|
final_grouped = {}
|
|
for date_str, events in grouped.items():
|
|
events.sort(key=lambda x: x['dt'])
|
|
min_dt = events[0]['dt']
|
|
max_dt = events[-1]['dt']
|
|
|
|
|
|
slots = []
|
|
curr_dt = min_dt
|
|
event_idx = 0
|
|
|
|
while curr_dt <= max_dt or event_idx < len(events):
|
|
next_dt = curr_dt + datetime.timedelta(minutes=6)
|
|
|
|
events_in_slot = []
|
|
while event_idx < len(events) and events[event_idx]['dt'] < next_dt:
|
|
events_in_slot.append(events[event_idx])
|
|
event_idx += 1
|
|
|
|
if events_in_slot:
|
|
for e in events_in_slot:
|
|
slots.append({
|
|
"time_str": e['dt'].strftime("%H:%M"),
|
|
"name": e['name'],
|
|
"children": e['children'],
|
|
"consent": e['consent'],
|
|
"booked": True,
|
|
"dt": e['dt']
|
|
})
|
|
else:
|
|
if curr_dt <= max_dt:
|
|
slots.append({
|
|
"time_str": curr_dt.strftime("%H:%M"),
|
|
"name": "",
|
|
"children": "",
|
|
"consent": False,
|
|
"booked": False,
|
|
"dt": curr_dt
|
|
})
|
|
|
|
curr_dt = next_dt
|
|
|
|
# Compress empty slots if there are more than 2 in a row
|
|
compressed_slots = []
|
|
empty_streak = []
|
|
|
|
for slot in slots:
|
|
if slot["booked"]:
|
|
if len(empty_streak) > 2:
|
|
start_time = empty_streak[0]["time_str"]
|
|
end_dt = empty_streak[-1]["dt"] + datetime.timedelta(minutes=6)
|
|
end_time = end_dt.strftime("%H:%M")
|
|
compressed_slots.append({
|
|
"is_compressed": True,
|
|
"time_str": f"{start_time} - {end_time}",
|
|
"name": "--- Freie Zeit / Pause ---",
|
|
"children": "",
|
|
"consent": False,
|
|
"booked": False
|
|
})
|
|
else:
|
|
compressed_slots.extend(empty_streak)
|
|
empty_streak = []
|
|
compressed_slots.append(slot)
|
|
else:
|
|
empty_streak.append(slot)
|
|
|
|
if len(empty_streak) > 2:
|
|
start_time = empty_streak[0]["time_str"]
|
|
end_dt = empty_streak[-1]["dt"] + datetime.timedelta(minutes=6)
|
|
end_time = end_dt.strftime("%H:%M")
|
|
compressed_slots.append({
|
|
"is_compressed": True,
|
|
"time_str": f"{start_time} - {end_time}",
|
|
"name": "--- Freie Zeit / Pause ---",
|
|
"children": "",
|
|
"consent": False,
|
|
"booked": False
|
|
})
|
|
else:
|
|
compressed_slots.extend(empty_streak)
|
|
|
|
final_grouped[date_str] = compressed_slots
|
|
|
|
|
|
template_dir = os.path.join(os.path.dirname(__file__), "templates")
|
|
env = Environment(loader=FileSystemLoader(template_dir))
|
|
template = env.get_template("appointment_list.html")
|
|
|
|
current_time = datetime.datetime.now().strftime("%d.%m.%Y %H:%M Uhr")
|
|
logo_base64 = get_logo_base64()
|
|
|
|
render_context = {
|
|
"job_name": job_name,
|
|
"event_type_name": event_type_name or "Alle Events",
|
|
"current_time": current_time,
|
|
"logo_base64": logo_base64,
|
|
"grouped_slots": final_grouped
|
|
}
|
|
|
|
html_out = template.render(render_context)
|
|
HTML(string=html_out).write_pdf(output_path)
|
|
|
|
# --- Selenium Scraper Functions ---
|
|
|
|
def take_error_screenshot(driver, error_name):
|
|
errors_dir = os.path.join(os.path.dirname(__file__), 'errors')
|
|
os.makedirs(errors_dir, exist_ok=True)
|
|
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
|
|
filename = f"error_{error_name}_{timestamp}.png"
|
|
filepath = os.path.join(errors_dir, filename)
|
|
try:
|
|
driver.save_screenshot(filepath)
|
|
logger.error(f"!!! Error screenshot saved to: {filepath}")
|
|
except Exception as e:
|
|
logger.error(f"!!! Could not save screenshot: {e}")
|
|
|
|
def setup_driver(download_path: str = None):
|
|
logger.info("Initializing Chrome WebDriver...")
|
|
options = Options()
|
|
options.add_argument('--headless')
|
|
options.add_argument('--no-sandbox')
|
|
options.add_argument('--disable-dev-shm-usage')
|
|
options.add_argument('--window-size=1920,1200')
|
|
options.binary_location = '/usr/bin/chromium'
|
|
|
|
if download_path:
|
|
logger.debug(f"Configuring download path: {download_path}")
|
|
prefs = {
|
|
"download.default_directory": download_path,
|
|
"download.prompt_for_download": False,
|
|
"download.directory_upgrade": True,
|
|
"safebrowsing.enabled": True
|
|
}
|
|
options.add_experimental_option("prefs", prefs)
|
|
|
|
try:
|
|
driver = webdriver.Chrome(options=options)
|
|
if download_path:
|
|
logger.debug("Allowing downloads in headless mode via CDP...")
|
|
driver.execute_cdp_cmd('Page.setDownloadBehavior', {
|
|
'behavior': 'allow',
|
|
'downloadPath': download_path
|
|
})
|
|
return driver
|
|
except Exception as e:
|
|
logger.error(f"Failed to initialize WebDriver: {e}")
|
|
return None
|
|
|
|
def login(driver, username, password):
|
|
logger.info(f"Starting login process for user: {username}")
|
|
try:
|
|
driver.get(LOGIN_URL)
|
|
wait = WebDriverWait(driver, 30)
|
|
try:
|
|
logger.debug("Checking for cookie banner...")
|
|
cookie_wait = WebDriverWait(driver, 5)
|
|
cookie_wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, SELECTORS["cookie_accept_button"]))).click()
|
|
logger.info("Cookie banner accepted.")
|
|
except:
|
|
logger.debug("No cookie banner found.")
|
|
|
|
logger.debug("Entering credentials...")
|
|
wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, SELECTORS["login_user"]))).send_keys(username)
|
|
driver.find_element(By.CSS_SELECTOR, SELECTORS["login_pass"]).send_keys(password)
|
|
|
|
logger.info("Clicking login button...")
|
|
driver.find_element(By.CSS_SELECTOR, SELECTORS["login_button"]).click()
|
|
|
|
logger.info("Waiting for dashboard redirect...")
|
|
wait.until(EC.url_contains('/config_dashboard/index'))
|
|
logger.info("Login successful!")
|
|
return True
|
|
except Exception as e:
|
|
logger.error(f"Login failed: {e}")
|
|
take_error_screenshot(driver, "login_error")
|
|
return False
|
|
|
|
def get_jobs_list(driver) -> List[Dict[str, Any]]:
|
|
jobs_list_url = "https://app.fotograf.de/config_jobs/index"
|
|
logger.info(f"Navigating to jobs list: {jobs_list_url}")
|
|
driver.get(jobs_list_url)
|
|
wait = WebDriverWait(driver, 30)
|
|
jobs = []
|
|
try:
|
|
logger.debug("Waiting for job rows to appear...")
|
|
job_rows = wait.until(EC.presence_of_all_elements_located((By.XPATH, SELECTORS["dashboard_jobs_table_rows"])))
|
|
logger.info(f"Found {len(job_rows)} job rows.")
|
|
|
|
for row in job_rows:
|
|
try:
|
|
name_element = row.find_element(By.XPATH, SELECTORS["job_row_name_link"])
|
|
job_name = name_element.text.strip()
|
|
job_url = name_element.get_attribute('href')
|
|
job_id_match = re.search(r'/(\d+)$', job_url)
|
|
job_id = job_id_match.group(1) if job_id_match else None
|
|
|
|
logger.debug(f"Parsing job: {job_name} (ID: {job_id})")
|
|
|
|
status_element = row.find_element(By.XPATH, SELECTORS["job_row_status"])
|
|
job_status = status_element.text.strip()
|
|
date_element = row.find_element(By.XPATH, SELECTORS["job_row_date"])
|
|
job_date = date_element.text.strip()
|
|
type_element = row.find_element(By.XPATH, SELECTORS["job_row_shooting_type"])
|
|
shooting_type = type_element.text.strip()
|
|
|
|
jobs.append({
|
|
"id": job_id,
|
|
"name": job_name,
|
|
"url": job_url,
|
|
"status": job_status,
|
|
"date": job_date,
|
|
"shooting_type": shooting_type,
|
|
})
|
|
except Exception as e:
|
|
logger.warning(f"Error parsing single job row: {e}")
|
|
continue
|
|
except Exception as e:
|
|
logger.error(f"Error retrieving job list: {e}")
|
|
take_error_screenshot(driver, "job_list_error")
|
|
|
|
return jobs
|
|
|
|
# --- Background Task Engine ---
|
|
|
|
task_store: Dict[str, Dict[str, Any]] = {}
|
|
|
|
def process_statistics(task_id: str, job_id: str, account_type: str):
|
|
logger.info(f"Task {task_id}: Starting statistics calculation for job {job_id}")
|
|
task_store[task_id] = {"status": "running", "progress": "Initialisiere Browser...", "result": None}
|
|
|
|
username = os.getenv(f"{account_type.upper()}_USER")
|
|
password = os.getenv(f"{account_type.upper()}_PW")
|
|
driver = None
|
|
|
|
try:
|
|
driver = setup_driver()
|
|
if not driver or not login(driver, username, password):
|
|
task_store[task_id] = {"status": "error", "progress": "Login fehlgeschlagen. Überprüfe die Zugangsdaten."}
|
|
return
|
|
|
|
task_store[task_id]["progress"] = f"Lade Alben-Übersicht für Auftrag..."
|
|
|
|
albums_overview_url = f"https://app.fotograf.de/config_jobs_photos/index/{job_id}"
|
|
logger.info(f"Navigating to albums: {albums_overview_url}")
|
|
driver.get(albums_overview_url)
|
|
wait = WebDriverWait(driver, 15)
|
|
|
|
albums_to_visit = []
|
|
try:
|
|
album_rows = wait.until(EC.presence_of_all_elements_located((By.XPATH, SELECTORS["album_overview_rows"])))
|
|
for row in album_rows:
|
|
try:
|
|
album_link = row.find_element(By.XPATH, SELECTORS["album_overview_link"])
|
|
albums_to_visit.append({"name": album_link.text, "url": album_link.get_attribute('href')})
|
|
except NoSuchElementException:
|
|
continue
|
|
except TimeoutException:
|
|
task_store[task_id] = {"status": "error", "progress": "Konnte die Album-Liste nicht finden."}
|
|
return
|
|
|
|
total_albums = len(albums_to_visit)
|
|
task_store[task_id]["progress"] = f"{total_albums} Alben gefunden. Starte Auswertung..."
|
|
|
|
statistics = []
|
|
|
|
for index, album in enumerate(albums_to_visit):
|
|
album_name = album['name']
|
|
task_store[task_id]["progress"] = f"Bearbeite Album {index + 1}/{total_albums}: '{album_name}'..."
|
|
driver.get(album['url'])
|
|
|
|
try:
|
|
total_codes_text = wait.until(EC.visibility_of_element_located((By.XPATH, SELECTORS["access_code_count"]))).text
|
|
num_pages = math.ceil(int(total_codes_text) / 20)
|
|
|
|
total_children_in_album = 0
|
|
children_with_purchase = 0
|
|
children_with_all_purchased = 0
|
|
|
|
for page_num in range(1, num_pages + 1):
|
|
task_store[task_id]["progress"] = f"Bearbeite Album {index + 1}/{total_albums}: '{album_name}' (Seite {page_num}/{num_pages})..."
|
|
|
|
if page_num > 1:
|
|
driver.get(album['url'] + f"?page_guest_accesses={page_num}")
|
|
|
|
person_rows = wait.until(EC.presence_of_all_elements_located((By.XPATH, SELECTORS["person_rows"])))
|
|
|
|
for person_row in person_rows:
|
|
total_children_in_album += 1
|
|
try:
|
|
photo_container = person_row.find_element(By.XPATH, "./following-sibling::div[1]")
|
|
|
|
num_total_photos = len(photo_container.find_elements(By.XPATH, SELECTORS["person_all_photos"]))
|
|
num_purchased_photos = len(photo_container.find_elements(By.XPATH, SELECTORS["person_purchased_photos"]))
|
|
num_access_cards = len(photo_container.find_elements(By.XPATH, SELECTORS["person_access_card_photo"]))
|
|
|
|
buyable_photos = num_total_photos - num_access_cards
|
|
|
|
if num_purchased_photos > 0:
|
|
children_with_purchase += 1
|
|
|
|
if buyable_photos > 0 and buyable_photos == num_purchased_photos:
|
|
children_with_all_purchased += 1
|
|
except NoSuchElementException:
|
|
continue
|
|
|
|
statistics.append({
|
|
"Album": album_name,
|
|
"Kinder_insgesamt": total_children_in_album,
|
|
"Kinder_mit_Käufen": children_with_purchase,
|
|
"Kinder_Alle_Bilder_gekauft": children_with_all_purchased
|
|
})
|
|
|
|
except Exception as e:
|
|
logger.error(f"Fehler bei Auswertung von Album '{album_name}': {e}")
|
|
continue
|
|
|
|
task_store[task_id] = {
|
|
"status": "completed",
|
|
"progress": "Auswertung erfolgreich abgeschlossen!",
|
|
"result": statistics
|
|
}
|
|
|
|
except Exception as e:
|
|
logger.exception(f"Unexpected error in task {task_id}")
|
|
task_store[task_id] = {"status": "error", "progress": f"Unerwarteter Fehler: {str(e)}"}
|
|
finally:
|
|
if driver:
|
|
logger.debug(f"Task {task_id}: Closing driver.")
|
|
driver.quit()
|
|
|
|
def process_reminder_analysis(task_id: str, job_id: str, account_type: str):
|
|
logger.info(f"Task {task_id}: Starting reminder analysis for job {job_id}")
|
|
task_store[task_id] = {"status": "running", "progress": "Initialisiere Browser...", "result": None}
|
|
|
|
username = os.getenv(f"{account_type.upper()}_USER")
|
|
password = os.getenv(f"{account_type.upper()}_PW")
|
|
driver = None
|
|
|
|
try:
|
|
driver = setup_driver()
|
|
if not driver or not login(driver, username, password):
|
|
task_store[task_id] = {"status": "error", "progress": "Login fehlgeschlagen."}
|
|
return
|
|
|
|
wait = WebDriverWait(driver, 15)
|
|
|
|
# 1. Navigate to albums overview
|
|
albums_overview_url = f"https://app.fotograf.de/config_jobs_photos/index/{job_id}"
|
|
task_store[task_id]["progress"] = "Lade Alben-Übersicht..."
|
|
driver.get(albums_overview_url)
|
|
|
|
albums_to_visit = []
|
|
try:
|
|
album_rows = wait.until(EC.presence_of_all_elements_located((By.XPATH, SELECTORS["album_overview_rows"])))
|
|
for row in album_rows:
|
|
try:
|
|
album_link = row.find_element(By.XPATH, SELECTORS["album_overview_link"])
|
|
albums_to_visit.append({"name": album_link.text, "url": album_link.get_attribute('href')})
|
|
except NoSuchElementException:
|
|
continue
|
|
except TimeoutException:
|
|
task_store[task_id] = {"status": "error", "progress": "Konnte die Album-Liste nicht finden."}
|
|
return
|
|
|
|
raw_results = []
|
|
total_albums = len(albums_to_visit)
|
|
|
|
for index, album in enumerate(albums_to_visit):
|
|
album_name = album['name']
|
|
task_store[task_id]["progress"] = f"Album {index+1}/{total_albums}: '{album_name}'..."
|
|
driver.get(album['url'])
|
|
|
|
try:
|
|
total_codes_text = wait.until(EC.visibility_of_element_located((By.XPATH, SELECTORS["access_code_count"]))).text
|
|
num_pages = math.ceil(int(total_codes_text) / 20)
|
|
|
|
for page_num in range(1, num_pages + 1):
|
|
task_store[task_id]["progress"] = f"Album {index+1}/{total_albums}: '{album_name}' (Seite {page_num}/{num_pages})..."
|
|
if page_num > 1:
|
|
driver.get(album['url'] + f"?page_guest_accesses={page_num}")
|
|
|
|
person_rows = wait.until(EC.presence_of_all_elements_located((By.XPATH, SELECTORS["person_rows"])))
|
|
num_persons = len(person_rows)
|
|
|
|
for i in range(num_persons):
|
|
# Re-locate rows to avoid stale element reference
|
|
person_rows = wait.until(EC.presence_of_all_elements_located((By.XPATH, SELECTORS["person_rows"])))
|
|
person_row = person_rows[i]
|
|
|
|
login_count_text = person_row.find_element(By.XPATH, ".//span[text()='Logins']/following-sibling::strong").text
|
|
|
|
# Only interested in people with 0 or 1 logins (potential reminders)
|
|
# Actually, if they haven't bought yet, they might need a reminder regardless of logins,
|
|
# but the legacy logic uses login_count <= 1.
|
|
# Let's stick to the legacy logic for now.
|
|
if int(login_count_text) <= 1:
|
|
vorname = person_row.find_element(By.XPATH, ".//span[text()='Vorname']/following-sibling::strong").text
|
|
|
|
try:
|
|
photo_container = person_row.find_element(By.XPATH, "./following-sibling::div[1]")
|
|
purchase_icons = photo_container.find_elements(By.XPATH, ".//img[@alt='Bestellungen mit diesem Foto']")
|
|
if len(purchase_icons) > 0:
|
|
continue
|
|
except NoSuchElementException:
|
|
pass
|
|
|
|
# Potential candidate
|
|
access_code_page_url = person_row.find_element(By.XPATH, ".//a[contains(@data-qa-id, 'guest-access-banner-access-code')]").get_attribute('href')
|
|
|
|
# Open in new tab or navigate back and forth?
|
|
# Scraper.py navigates back and forth.
|
|
driver.get(access_code_page_url)
|
|
|
|
try:
|
|
wait.until(EC.visibility_of_element_located((By.XPATH, "//a[@id='quick-login-url']")))
|
|
quick_login_url = driver.find_element(By.XPATH, "//a[@id='quick-login-url']").get_attribute('href')
|
|
potential_buyer_element = driver.find_element(By.XPATH, "//a[contains(@href, '/config_customers/view_customer')]")
|
|
buyer_name = potential_buyer_element.text
|
|
|
|
potential_buyer_element.click()
|
|
email = wait.until(EC.visibility_of_element_located((By.XPATH, "//span[contains(., '@')]"))).text
|
|
|
|
raw_results.append({
|
|
"child_name": vorname,
|
|
"buyer_name": buyer_name,
|
|
"email": email,
|
|
"quick_login": quick_login_url
|
|
})
|
|
except Exception as e:
|
|
logger.warning(f"Error getting details for {vorname}: {e}")
|
|
|
|
# Go back to the album page
|
|
driver.get(album['url'] + (f"?page_guest_accesses={page_num}" if page_num > 1 else ""))
|
|
wait.until(EC.presence_of_element_located((By.XPATH, SELECTORS["person_rows"])))
|
|
|
|
except Exception as e:
|
|
logger.error(f"Fehler bei Album '{album_name}': {e}")
|
|
continue
|
|
|
|
# Aggregate Results
|
|
task_store[task_id]["progress"] = "Aggregiere Ergebnisse..."
|
|
aggregated_data = {}
|
|
for res in raw_results:
|
|
email = res['email']
|
|
child_name = "Familienbilder" if res['child_name'] == "Familie" else res['child_name']
|
|
html_link = f'<a href="{res["quick_login"]}">Fotos von {child_name}</a>'
|
|
|
|
if email not in aggregated_data:
|
|
aggregated_data[email] = {
|
|
'buyer_first_name': res['buyer_name'].split(' ')[0],
|
|
'email': email,
|
|
'children': [child_name],
|
|
'links': [html_link]
|
|
}
|
|
else:
|
|
if child_name not in aggregated_data[email]['children']:
|
|
aggregated_data[email]['children'].append(child_name)
|
|
aggregated_data[email]['links'].append(html_link)
|
|
|
|
final_list = []
|
|
for email, data in aggregated_data.items():
|
|
names = data['children']
|
|
if len(names) > 2:
|
|
names_str = ', '.join(names[:-1]) + ' und ' + names[-1]
|
|
else:
|
|
names_str = ' und '.join(names)
|
|
|
|
final_list.append({
|
|
'Name Käufer': data['buyer_first_name'],
|
|
'E-Mail-Adresse Käufer': email,
|
|
'Kindernamen': names_str,
|
|
'LinksHTML': '<br><br>'.join(data['links'])
|
|
})
|
|
|
|
task_store[task_id] = {
|
|
"status": "completed",
|
|
"progress": "Analyse abgeschlossen!",
|
|
"result": final_list
|
|
}
|
|
|
|
except Exception as e:
|
|
logger.exception(f"Error in task {task_id}")
|
|
task_store[task_id] = {"status": "error", "progress": f"Fehler: {str(e)}"}
|
|
finally:
|
|
if driver: driver.quit()
|
|
|
|
from fastapi import FastAPI, HTTPException, Depends, BackgroundTasks, UploadFile, File, Form
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.responses import FileResponse, JSONResponse
|
|
from typing import List, Dict, Any, Optional
|
|
|
|
from sqlalchemy.orm import Session
|
|
from database import get_db, Job as DBJob, engine, Base
|
|
import math
|
|
import uuid
|
|
from qr_generator import get_calendly_events, overlay_text_on_pdf, get_calendly_event_types
|
|
|
|
# --- API Endpoints ---
|
|
|
|
@app.get("/api/calendly/event-types")
|
|
async def fetch_calendly_event_types():
|
|
api_token = os.getenv("CALENDLY_TOKEN")
|
|
if not api_token:
|
|
raise HTTPException(status_code=400, detail="Calendly API token missing.")
|
|
try:
|
|
types = get_calendly_event_types(api_token)
|
|
return {"event_types": types}
|
|
except Exception as e:
|
|
logger.error(f"Error fetching Calendly event types: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@app.get("/api/calendly/events")
|
|
async def fetch_calendly_events(start_time: str, end_time: str, event_type_name: Optional[str] = None):
|
|
"""
|
|
Debug endpoint to fetch and inspect raw Calendly data.
|
|
"""
|
|
api_token = os.getenv("CALENDLY_TOKEN")
|
|
if not api_token:
|
|
raise HTTPException(status_code=400, detail="Calendly API token missing.")
|
|
|
|
try:
|
|
from qr_generator import get_calendly_events_raw
|
|
raw_data = get_calendly_events_raw(api_token, start_time, end_time, event_type_name)
|
|
return {"count": len(raw_data), "events": raw_data}
|
|
except Exception as e:
|
|
logger.error(f"Error fetching Calendly events: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
|
|
@app.post("/api/qr-cards/generate")
|
|
async def generate_qr_cards(
|
|
start_time: str = Form(None),
|
|
end_time: str = Form(None),
|
|
event_type_name: str = Form(None),
|
|
pdf_file: UploadFile = File(...)
|
|
):
|
|
logger.info(f"API Request: Generate QR cards from {start_time} to {end_time} for event type '{event_type_name}'")
|
|
api_token = os.getenv("CALENDLY_TOKEN")
|
|
if not api_token:
|
|
raise HTTPException(status_code=400, detail="Calendly API token missing.")
|
|
|
|
try:
|
|
# Save uploaded PDF temporarily
|
|
temp_dir = tempfile.gettempdir()
|
|
base_pdf_path = os.path.join(temp_dir, f"upload_{uuid.uuid4()}.pdf")
|
|
with open(base_pdf_path, "wb") as buffer:
|
|
shutil.copyfileobj(pdf_file.file, buffer)
|
|
|
|
# 1. Fetch formatted data from Calendly
|
|
texts = get_calendly_events(api_token, start_time, end_time, event_type_name)
|
|
if not texts:
|
|
os.remove(base_pdf_path)
|
|
return JSONResponse(status_code=404, content={"message": "Keine passenden Termine gefunden."})
|
|
|
|
# 2. Overlay text on blank PDF
|
|
output_name = f"QR_Karten_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.pdf"
|
|
output_path = os.path.join(temp_dir, output_name)
|
|
|
|
overlay_text_on_pdf(base_pdf_path, output_path, texts)
|
|
|
|
# Cleanup uploaded file
|
|
os.remove(base_pdf_path)
|
|
|
|
return FileResponse(path=output_path, filename=output_name, media_type="application/pdf")
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error generating QR cards: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@app.get("/api/jobs/{job_id}/appointment-list")
|
|
async def generate_appointment_list(job_id: str, event_type_name: str, db: Session = Depends(get_db)):
|
|
logger.info(f"API Request: Generate appointment list for job {job_id}, event_type '{event_type_name}'")
|
|
api_token = os.getenv("CALENDLY_TOKEN")
|
|
if not api_token:
|
|
raise HTTPException(status_code=400, detail="Calendly API token missing.")
|
|
|
|
# 1. Fetch job name from DB
|
|
job = db.query(DBJob).filter(DBJob.id == job_id).first()
|
|
job_name = job.name if job else f"Auftrag {job_id}"
|
|
|
|
# Clean job name: remove (JOB00005) or similar anywhere in string
|
|
import re
|
|
job_name_clean = re.sub(r'\(?JOB\d+\)?', '', job_name).strip()
|
|
|
|
# 2. Fetch raw Calendly events
|
|
try:
|
|
from qr_generator import get_calendly_events_raw
|
|
raw_events = get_calendly_events_raw(api_token, event_type_name=event_type_name)
|
|
except Exception as e:
|
|
logger.error(f"Error fetching raw Calendly events: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
if not raw_events:
|
|
return JSONResponse(status_code=404, content={"message": "Keine passenden Termine für diesen Event-Typ gefunden."})
|
|
|
|
# 3. Generate PDF
|
|
temp_dir = tempfile.gettempdir()
|
|
output_name = f"Terminuebersicht_{job_id}_{datetime.datetime.now().strftime('%Y%m%d')}.pdf"
|
|
output_path = os.path.join(temp_dir, output_name)
|
|
|
|
try:
|
|
generate_appointment_overview_pdf(raw_events, job_name_clean, event_type_name, output_path)
|
|
return FileResponse(path=output_path, filename=output_name, media_type="application/pdf")
|
|
except Exception as e:
|
|
logger.error(f"Error generating appointment overview pdf: {e}")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@app.get("/health")
|
|
async def health_check():
|
|
return {"status": "ok"}
|
|
|
|
@app.get("/api/jobs", response_model=List[Dict[str, Any]])
|
|
async def get_jobs(account_type: str, force_refresh: bool = False, db: Session = Depends(get_db)):
|
|
logger.info(f"API Request: GET /api/jobs for {account_type} (force_refresh={force_refresh})")
|
|
|
|
# 1. Check database first if not forcing a refresh
|
|
if not force_refresh:
|
|
cached_jobs = db.query(DBJob).filter(DBJob.account_type == account_type).all()
|
|
if cached_jobs:
|
|
logger.info(f"Returning {len(cached_jobs)} cached jobs for {account_type}")
|
|
return [
|
|
{
|
|
"id": job.id,
|
|
"name": job.name,
|
|
"url": job.url,
|
|
"status": job.status,
|
|
"date": job.date,
|
|
"shooting_type": job.shooting_type,
|
|
"last_updated": job.last_updated.isoformat() if job.last_updated else None
|
|
}
|
|
for job in cached_jobs
|
|
]
|
|
else:
|
|
logger.info(f"No cached jobs found for {account_type}. Initiating scrape...")
|
|
|
|
# 2. Scrape from fotograf.de if forcing refresh or no cached jobs
|
|
username = os.getenv(f"{account_type.upper()}_USER")
|
|
password = os.getenv(f"{account_type.upper()}_PW")
|
|
if not username or not password:
|
|
logger.error(f"Credentials for {account_type} not found in .env")
|
|
raise HTTPException(status_code=400, detail="Credentials not found.")
|
|
|
|
driver = None
|
|
try:
|
|
driver = setup_driver()
|
|
if not driver or not login(driver, username, password):
|
|
raise HTTPException(status_code=401, detail="Login failed.")
|
|
|
|
scraped_jobs = get_jobs_list(driver)
|
|
|
|
# 3. Save to database
|
|
if scraped_jobs:
|
|
logger.info(f"Saving {len(scraped_jobs)} jobs to database for {account_type}...")
|
|
# Clear old jobs for this account type
|
|
db.query(DBJob).filter(DBJob.account_type == account_type).delete()
|
|
|
|
# Insert new jobs
|
|
now = datetime.datetime.utcnow()
|
|
for job_data in scraped_jobs:
|
|
if job_data["id"]: # Ensure we have an ID
|
|
new_job = DBJob(
|
|
id=job_data["id"],
|
|
name=job_data["name"],
|
|
url=job_data["url"],
|
|
status=job_data["status"],
|
|
date=job_data["date"],
|
|
shooting_type=job_data["shooting_type"],
|
|
account_type=account_type,
|
|
last_updated=now
|
|
)
|
|
db.add(new_job)
|
|
|
|
# Update dict for return value
|
|
job_data["last_updated"] = now.isoformat()
|
|
|
|
db.commit()
|
|
logger.info("Database updated successfully.")
|
|
|
|
return scraped_jobs
|
|
except Exception as e:
|
|
logger.error(f"Error during scraping or database save: {e}")
|
|
db.rollback()
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
finally:
|
|
if driver:
|
|
logger.debug("Closing driver.")
|
|
driver.quit()
|
|
|
|
@app.get("/api/tasks/{task_id}")
|
|
async def get_task_status(task_id: str):
|
|
logger.debug(f"API Request: Check task status for {task_id}")
|
|
if task_id not in task_store:
|
|
raise HTTPException(status_code=404, detail="Task nicht gefunden.")
|
|
return task_store[task_id]
|
|
|
|
@app.post("/api/jobs/{job_id}/statistics")
|
|
async def start_statistics(job_id: str, account_type: str, background_tasks: BackgroundTasks):
|
|
logger.info(f"API Request: Start statistics for job {job_id} ({account_type})")
|
|
task_id = str(uuid.uuid4())
|
|
background_tasks.add_task(process_statistics, task_id, job_id, account_type)
|
|
return {"task_id": task_id}
|
|
|
|
@app.post("/api/jobs/{job_id}/reminder-analysis")
|
|
async def start_reminder_analysis(job_id: str, account_type: str, background_tasks: BackgroundTasks):
|
|
logger.info(f"API Request: Start reminder analysis for job {job_id} ({account_type})")
|
|
task_id = str(uuid.uuid4())
|
|
background_tasks.add_task(process_reminder_analysis, task_id, job_id, account_type)
|
|
return {"task_id": task_id}
|
|
|
|
@app.get("/api/tasks/{task_id}/download-csv")
|
|
async def download_task_csv(task_id: str):
|
|
if task_id not in task_store or task_store[task_id]["status"] != "completed":
|
|
raise HTTPException(status_code=404, detail="Ergebnis nicht gefunden oder Task noch nicht abgeschlossen.")
|
|
|
|
result = task_store[task_id]["result"]
|
|
if not result or not isinstance(result, list):
|
|
raise HTTPException(status_code=400, detail="Keine Daten zum Exportieren vorhanden.")
|
|
|
|
try:
|
|
df = pd.DataFrame(result)
|
|
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".csv")
|
|
df.to_csv(temp_file.name, index=False, encoding='utf-8-sig')
|
|
return FileResponse(path=temp_file.name, filename=f"Supermailer_Liste_{task_id[:8]}.csv", media_type="text/csv")
|
|
except Exception as e:
|
|
logger.error(f"Export error: {e}")
|
|
raise HTTPException(status_code=500, detail="CSV Export fehlgeschlagen.")
|
|
|
|
@app.get("/api/jobs/{job_id}/generate-pdf")
|
|
async def generate_pdf(job_id: str, account_type: str):
|
|
logger.info(f"API Request: Generate PDF for job {job_id} ({account_type})")
|
|
username = os.getenv(f"{account_type.upper()}_USER")
|
|
password = os.getenv(f"{account_type.upper()}_PW")
|
|
|
|
with tempfile.TemporaryDirectory() as temp_dir:
|
|
logger.debug(f"Using temp directory for download: {temp_dir}")
|
|
driver = setup_driver(download_path=temp_dir)
|
|
try:
|
|
if not login(driver, username, password):
|
|
raise HTTPException(status_code=401, detail="Login failed.")
|
|
|
|
# 1. Navigate to job settings page first
|
|
job_url = f"https://app.fotograf.de/config_jobs_settings/index/{job_id}"
|
|
logger.info(f"Navigating to job main page: {job_url}")
|
|
driver.get(job_url)
|
|
wait = WebDriverWait(driver, 30)
|
|
|
|
# Get Institution Name for PDF
|
|
try:
|
|
institution = driver.find_element(By.TAG_NAME, "h1").text.strip()
|
|
logger.debug(f"Detected institution name: {institution}")
|
|
except:
|
|
institution = "Fotoauftrag"
|
|
|
|
# 1.5 Click on the "Personen" tab
|
|
logger.info("Clicking on 'Personen' tab...")
|
|
personen_tab = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, "[data-qa-id='link:photo-jobs-tabs-names_list']")))
|
|
personen_tab.click()
|
|
|
|
# Wait for the export button to become present on the new tab
|
|
logger.info("Waiting for Export Dropdown...")
|
|
export_btn = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, SELECTORS["export_dropdown"])))
|
|
|
|
# Scroll to it and click via JS to avoid obscuring elements
|
|
driver.execute_script("arguments[0].scrollIntoView(true);", export_btn)
|
|
time.sleep(1)
|
|
logger.info("Clicking Export Dropdown...")
|
|
driver.execute_script("arguments[0].click();", export_btn)
|
|
|
|
logger.debug("Export dropdown clicked, waiting for menu items...")
|
|
time.sleep(2)
|
|
|
|
try:
|
|
csv_btn = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, SELECTORS["export_csv_link"])))
|
|
logger.info("CSV Export button found. Clicking...")
|
|
driver.execute_script("arguments[0].click();", csv_btn)
|
|
except TimeoutException:
|
|
logger.error("CSV Button not found after clicking dropdown.")
|
|
take_error_screenshot(driver, "csv_button_missing")
|
|
raise HTTPException(status_code=500, detail="CSV Export Button konnte nicht gefunden werden.")
|
|
|
|
# Wait for file to appear
|
|
logger.debug("Waiting for CSV file in download directory...")
|
|
timeout = 45
|
|
start_time = time.time()
|
|
csv_file = None
|
|
while time.time() - start_time < timeout:
|
|
files = os.listdir(temp_dir)
|
|
csv_files = [f for f in files if f.endswith('.csv')]
|
|
if csv_files:
|
|
csv_file = os.path.join(temp_dir, csv_files[0])
|
|
logger.info(f"Download complete: {csv_file}")
|
|
break
|
|
time.sleep(1)
|
|
|
|
if not csv_file:
|
|
logger.error(f"Download timed out after {timeout} seconds.")
|
|
take_error_screenshot(driver, "download_timeout")
|
|
raise HTTPException(status_code=500, detail="CSV Download fehlgeschlagen.")
|
|
|
|
output_pdf_name = f"Listen_{job_id}.pdf"
|
|
output_pdf_path = os.path.join(temp_dir, output_pdf_name)
|
|
|
|
generate_pdf_from_csv(
|
|
csv_path=csv_file,
|
|
institution=institution,
|
|
date_info=datetime.datetime.now().strftime("%d.%m.%Y"),
|
|
list_type=account_type,
|
|
output_path=output_pdf_path
|
|
)
|
|
|
|
final_storage = os.path.join("/tmp", output_pdf_name)
|
|
logger.info(f"PDF successfully generated. Copying to {final_storage}")
|
|
shutil.copy(output_pdf_path, final_storage)
|
|
return FileResponse(path=final_storage, filename=output_pdf_name, media_type="application/pdf")
|
|
|
|
except HTTPException as he:
|
|
raise he
|
|
except Exception as e:
|
|
logger.exception("Unexpected error during PDF generation")
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
finally:
|
|
if driver:
|
|
logger.debug("Closing driver.")
|
|
driver.quit() |