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https://github.com/fhswf/aki_prj23_transparenzregister.git
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checkpoint: Init news extraction components and main app
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parent
905021af14
commit
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13
poetry.lock
generated
13
poetry.lock
generated
@ -5556,6 +5556,17 @@ tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
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testing = ["h5py (>=3.7.0)", "huggingface_hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools_rust (>=1.5.2)"]
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torch = ["safetensors[numpy]", "torch (>=1.10)"]
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[[package]]
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name = "schedule"
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version = "1.2.1"
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description = "Job scheduling for humans."
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "schedule-1.2.1-py2.py3-none-any.whl", hash = "sha256:14cdeb083a596aa1de6dc77639a1b2ac8bf6eaafa82b1c9279d3612823063d01"},
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{file = "schedule-1.2.1.tar.gz", hash = "sha256:843bc0538b99c93f02b8b50e3e39886c06f2d003b24f48e1aa4cadfa3f341279"},
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]
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[[package]]
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name = "scipy"
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version = "1.11.3"
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@ -7368,4 +7379,4 @@ web-server = ["dash", "dash-auth", "dash-bootstrap-components", "matplotlib", "n
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.11,<3.13"
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content-hash = "5ca44ede811dc417faeda6b976c032682be7b4edadc16fc6c81e2ffe3dc4f946"
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content-hash = "74469846b7987ea0e7fa202cfa3d2406513f7ef02d849f38f3bfca49dd1d71c9"
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@ -70,6 +70,7 @@ pymongo = "^4.6.0"
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python = ">=3.11,<3.13"
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python-dotenv = "^1.0.0"
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rapidfuzz = "^3.5.2"
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schedule = "^1.2.1"
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scipy = "^1.11.3"
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seaborn = "^0.13.0"
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selenium = "^4.15.2"
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@ -141,6 +142,7 @@ pytest-repeat = "^0.9.1"
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copy-sql = "aki_prj23_transparenzregister.utils.sql.copy_sql:copy_db_cli"
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data-processing = "aki_prj23_transparenzregister.utils.data_processing:cli"
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data-transformation = "aki_prj23_transparenzregister.utils.data_transfer:transfer_data_cli"
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fetch-news-schedule = "aki_prj23_transparenzregister.apps.fetch_news:fetch_news_cli"
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reset-sql = "aki_prj23_transparenzregister.utils.sql.connector:reset_all_tables_cli"
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webserver = "aki_prj23_transparenzregister.ui.app:main"
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97
src/aki_prj23_transparenzregister/apps/fetch_news.py
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97
src/aki_prj23_transparenzregister/apps/fetch_news.py
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@ -0,0 +1,97 @@
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"""Scheduled news article extraction and transfer to MongoDB."""
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import argparse
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import sys
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import time
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from loguru import logger
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from schedule import every, run_pending
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from aki_prj23_transparenzregister.config.config_providers import (
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HELP_TEXT_CONFIG,
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ConfigProvider,
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get_config_provider,
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)
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from aki_prj23_transparenzregister.utils.data_extraction.news.handelsblatt import (
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HandelsblattRSS,
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)
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from aki_prj23_transparenzregister.utils.data_extraction.news.tagesschau import (
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TagesschauAPI,
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)
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from aki_prj23_transparenzregister.utils.logger_config import (
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add_logger_options_to_argparse,
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configer_logger,
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)
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from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector
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from aki_prj23_transparenzregister.utils.mongo.news_mongo_service import (
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MongoNewsService,
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)
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def fetch_news_cli() -> None:
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"""A cli interface to fetch latest news articles on a schedule."""
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parser = argparse.ArgumentParser(
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prog="Process and transform data",
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description="Copy data from one SQL database to another.",
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epilog="Example: 'data-transformation secrets.json' or 'data-transformation ENV_VARS_'",
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)
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parser.add_argument(
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"config",
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metavar="config",
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default="ENV",
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help=HELP_TEXT_CONFIG,
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)
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add_logger_options_to_argparse(parser)
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parsed = parser.parse_args(sys.argv[1:])
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configer_logger(namespace=parsed)
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config_provider = get_config_provider(parsed.config)
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every(12).hours.do(schedule, config_provider)
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while True:
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run_pending()
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time.sleep(30)
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def schedule(config_provider: ConfigProvider) -> None:
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"""Scheduled job to fetch news articles and transfer them to MongoDB.
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Args:
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config_provider (ConfigProvider): ConfigProvider to get the MongoDB connection string
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"""
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logger.info("Starting scheduled job")
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mongo_news_service = MongoNewsService(
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MongoConnector(config_provider.get_mongo_connection_string())
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)
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handelsblatt = HandelsblattRSS()
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tagesschau = TagesschauAPI()
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news_handelsblatt = handelsblatt.get_news_for_category()
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if news_handelsblatt is None:
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logger.error("Error while fetching news from Handelsblatt")
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news_handelsblatt = []
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news_tageschau = tagesschau.get_news_for_category()
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if news_tageschau is None:
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logger.error("Error while fetching news from Tagesschau")
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news_tageschau = []
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logger.info(f"Found {len(news_handelsblatt)} news articles from Handelsblatt")
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logger.info(f"Found {len(news_tageschau)} news articles from Tagesschau")
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news_joined = news_handelsblatt + news_tageschau
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count_new_documents = 0
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count_duplicate_documents = 0
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for news in news_joined:
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db_news = mongo_news_service.get_by_id(news.id)
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if db_news is None:
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mongo_news_service.insert(news)
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count_new_documents += 1
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else:
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count_duplicate_documents += 1
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logger.info(f"Inserted {count_new_documents} news documents")
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logger.info(
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f"Found {count_duplicate_documents} duplicate news documents while inserting"
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)
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logger.info("Finished scheduled job")
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logger.info("=========================================")
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@ -0,0 +1 @@
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"""Data extraction of news articles from various sources."""
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@ -0,0 +1,48 @@
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"""Base class for news extractors."""
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import abc
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import requests
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from bs4 import BeautifulSoup
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from aki_prj23_transparenzregister.models.news import News
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class BaseNewsExtractor(metaclass=abc.ABCMeta):
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"""Base class for news extractors."""
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base_url: str
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def __init__(self, base_url: str):
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"""Constructor.
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Args:
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base_url (str): Base URL of the API.
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"""
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self.base_url = base_url
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@abc.abstractmethod
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def get_news_for_category(self, category: str) -> list[News] | None:
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"""Retrieve news for the given category from the API implemented by the subclass.
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Args:
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category (str): News category to retrieve.
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Returns:
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list[News] | None: List of news or None if an error occured.
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"""
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def __get_news_details_text__(self, url: str) -> str:
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"""Retrieve the text of a news article.
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Args:
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url (str): URL of the news article.
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Returns:
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str: Text of the news article.
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"""
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content = requests.get(url, timeout=60)
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soup = BeautifulSoup(content.text, features="html.parser")
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return " ".join(
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[elem.text.replace("\n", " ") for elem in soup.find_all("p")][:]
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)
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"""Handelsblatt RSS news extractor."""
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from datetime import datetime
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import requests
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import xmltodict
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from aki_prj23_transparenzregister.models.news import News
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from aki_prj23_transparenzregister.utils.data_extraction.news.base import (
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BaseNewsExtractor,
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)
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class HandelsblattRSS(BaseNewsExtractor):
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"""Handelsblatt RSS news extractor."""
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def __init__(self) -> None:
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"""Constructor."""
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super().__init__("https://www.handelsblatt.com/contentexport/feed")
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def get_news_for_category(self, category: str = "unternehmen") -> list[News] | None:
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"""Retrieve news for the given category from the Handelsblatt RSS feed.
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Args:
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category (str, optional): Category to search for. Defaults to "unternehmen".
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Returns:
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list[News] | None: List of news or None if an error occured.
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"""
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url = f"{self.base_url}/{category}"
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result = requests.get(url=url, timeout=60)
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if not result.ok:
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return None
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news: list[News] = []
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items = xmltodict.parse(result.text)["rss"]["channel"]["item"]
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for article in items:
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news.append(
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News(
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id=article["guid"],
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title=article["title"],
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date=datetime.strptime(
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article["pubDate"], "%a, %d %b %Y %H:%M:%S %z"
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).strftime("%Y-%m-%dT%H:%M:%S%z"),
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# FIXME Will now require JS enabled --> Use selenium rather than simple requests
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text=self.__get_news_details_text__(article["link"]),
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source_url=article["link"],
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)
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)
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return news
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"""Tageschau API news extractor."""
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import requests
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from aki_prj23_transparenzregister.models.news import News
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from aki_prj23_transparenzregister.utils.data_extraction.news.base import (
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BaseNewsExtractor,
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)
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class TagesschauAPI(BaseNewsExtractor):
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"""Tageschau API news extractor."""
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def __init__(self) -> None:
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"""Constructor."""
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super().__init__("https://www.tagesschau.de/api2")
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def get_news_for_category(self, category: str = "wirtschaft") -> list[News] | None:
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"""Retrieve news for the given category from the Tageschau API.
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Args:
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category (str, optional): Category to search for. Defaults to "wirtschaft".
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Returns:
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list[News] | None: List of news or None if an error occured.
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"""
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url = f"{self.base_url}/news/"
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regions = ",".join([str(i) for i in range(1, 16)])
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result = requests.get(
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url=url, params={"regions": regions, "ressort": category}, timeout=60
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)
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if not result.ok:
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return None
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news = []
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for item in result.json()["news"]:
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news.append(
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News(
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id=item["externalId"],
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title=item["title"],
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date=item["date"],
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source_url=item["detailsweb"],
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text=self.__get_news_details_text__(item["detailsweb"]),
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)
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)
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return news
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"""Get all News documents.
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Returns:
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list[News]: _description_
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list[News]: List of News documents
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"""
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result = self.collection.find()
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return [MongoEntryTransformer.transform_outgoing(elem) for elem in result]
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@ -29,10 +29,10 @@ class MongoNewsService:
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"""Get a News document by the given id.
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Args:
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id (str): _description_
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id (str): ID of the News document
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Returns:
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News | None: _description_
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News | None: News document or None if not found
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"""
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result = list(self.collection.find({"_id": id}))
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if len(result) == 1:
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@ -43,10 +43,10 @@ class MongoNewsService:
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"""Insert a new News document.
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Args:
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news (News): _description_
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news (News): News article to be inserted
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Returns:
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_type_: _description_
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InsertOneResult: Result of the insert operation
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"""
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return self.collection.insert_one(MongoEntryTransformer.transform_ingoing(news))
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