Caldas da Rainha Predictions

Upcoming Tennis Matches in Caldas da Rainha, Portugal

Tomorrow promises to be an exhilarating day for tennis enthusiasts in Caldas da Rainha, Portugal. The local tennis courts are set to host a series of exciting matches that are sure to captivate fans and players alike. Whether you're a seasoned aficionado or a casual observer, these matches offer something for everyone. In this article, we'll delve into the details of the matches, provide expert betting predictions, and give you all the information you need to enjoy this thrilling day of tennis.

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Match Schedule

The tournament kicks off early in the morning and continues well into the evening, ensuring that there's plenty of action for everyone. Here's a breakdown of the matches scheduled for tomorrow:

09:00 AM: Opening Round Matches
11:30 AM: Quarterfinals
02:00 PM: Semifinals
04:30 PM: Final Match

Each match is expected to draw large crowds, so arriving early is recommended to secure a good spot.

Featured Players

The tournament features a mix of local talent and international stars, making it a must-watch event. Some of the key players to keep an eye on include:

Juan Martín del Potro: Known for his powerful forehand and resilience, del Potro is always a formidable opponent.
Karolína Plíšková: The Czech star brings her aggressive playstyle and exceptional baseline skills to the court.
Casper Ruud: Norway's rising star is known for his versatility and strategic gameplay.

These players, among others, are expected to deliver thrilling performances and possibly create some unforgettable moments.

Betting Predictions

For those interested in placing bets on the matches, here are some expert predictions based on recent performances and player statistics:

Juan Martín del Potro vs. Casper Ruud: Del Potro is favored to win due to his experience and recent form. However, Ruud's agility and tactical play could pose a challenge.
Karolína Plíšková vs. Jessica Pegula: Plíšková is expected to dominate with her powerful serves and consistent groundstrokes. Pegula will need to rely on her defensive skills to stay competitive.

As always, betting involves risks, so it's important to gamble responsibly.

Tips for Enjoying the Tournament

Whether you're attending in person or watching from home, here are some tips to enhance your experience:

Arrive Early: Get there early to find the best seats and avoid missing any of the action.
Stay Hydrated: Bring plenty of water, especially if you're attending in person. The excitement can be draining!
Follow Online Updates: If you can't make it in person, follow live updates on social media or sports news websites.

Local Attractions in Caldas da Rainha

While enjoying the tennis matches, don't miss out on exploring the beautiful town of Caldas da Rainha. Known for its stunning architecture and vibrant culture, there are several attractions worth visiting:

Pedro Alexandrino Palace: A stunning example of Portuguese Baroque architecture.
Caldas da Rainha Museum: Discover the rich history and artistry of the region.
Pedra do Reino Park: A beautiful park offering scenic views and recreational activities.

Tennis Tips for Beginners

If you're new to tennis and want to try it out during your visit, here are some beginner tips:

Grip Basics: Start with a basic grip and focus on maintaining control over your shots.
Footwork Drills: Practice footwork drills to improve your agility and movement on the court.
Serve Practice: Work on your serve technique to gain confidence during matches.

Sports Betting Safety Tips

miguelcarballal/renfe-scraper<|file_sep|>/renfe_scraper/core/__init__.py """Contains scraper core""" from .scraper import RenfeScraper <|file_sep|># Renfe Scraper [![PyPI version](https://badge.fury.io/py/renfe-scraper.svg)](https://badge.fury.io/py/renfe-scraper) [![Build Status](https://travis-ci.org/miguelcarballal/renfe-scraper.svg?branch=master)](https://travis-ci.org/miguelcarballal/renfe-scraper) A simple library that scrapes data from [Renfe](http://www.renfe.com) website. ## Installation bash pip install renfe-scraper ## Usage python >>> from renfe_scraper.core import RenfeScraper >>> scraper = RenfeScraper() >>> tickets = scraper.get_train_tickets('Barcelona', 'Madrid', '2020-01-01') >>> print(tickets) TrainTickets([TrainTicket( train_type='AVE', origin='Barcelona', destination='Madrid', departure='10:25', arrival='13:03', price=29.95, train_id='11496'), TrainTicket( train_type='AVE', origin='Barcelona', destination='Madrid', departure='12:05', arrival='14:43', price=39.95, train_id='11502'), TrainTicket( train_type='AVE', origin='Barcelona', destination='Madrid', departure='16:05', arrival='18:43', price=39.95, train_id='11508'), TrainTicket( train_type='AVE', origin='Barcelona', destination='Madrid', departure='19:35', arrival='22:13', price=49.95, train_id='11514')]) ## Notes This is just a simple proof-of-concept library that shows how I usually implement web scraping projects in Python. It uses [requests-html](https://github.com/psf/requests-html) under the hood. The library assumes that you want tickets between two cities at a specific date. There are no tests because this library is not production-ready at all. I will improve this library by adding: - More robust error handling - Logging - More features (eg. adding filters) - Tests Feel free to open an issue if you find any bug or have any suggestion! ## License MIT © [Miguel Carballal](https://github.com/miguelcarballal) <|repo_name|>miguelcarballal/renfe-scraper<|file_sep|>/tests/test_scraper.py import pytest from renfe_scraper.core.scraper import RenfeScraper class TestRenfeScraper: def test_get_train_tickets(self): """Test get_train_tickets() method""" scraper = RenfeScraper() tickets = scraper.get_train_tickets('Barcelona', 'Madrid', '2020-01-01') assert isinstance(tickets, list) # Check if there are any tickets available assert len(tickets) > 0 # Check first ticket ticket = tickets[0] assert ticket.train_type == 'AVE' assert ticket.origin == 'Barcelona' assert ticket.destination == 'Madrid' assert ticket.departure == '10:25' assert ticket.arrival == '13:03' assert ticket.price == pytest.approx(29.95) assert ticket.train_id == '11496' # Check second ticket ticket = tickets[1] assert ticket.train_type == 'AVE' assert ticket.origin == 'Barcelona' assert ticket.destination == 'Madrid' assert ticket.departure == '12:05' assert ticket.arrival == '14:43' assert ticket.price == pytest.approx(39.95) assert ticket.train_id == '11502' # Check third ticket ticket = tickets[2] assert ticket.train_type == 'AVE' assert ticket.origin == 'Barcelona' assert ticket.destination == 'Madrid' assert ticket.departure == '16:05' assert ticket.arrival == '18:43' assert ticket.price == pytest.approx(39.95) assert ticket.train_id == '11508' # Check fourth ticket ticket = tickets[3] assert ticket.train_type == 'AVE' assert ticket.origin == 'Barcelona' assert ticket.destination == 'Madrid' assert ticket.departure == '19:35' assert ticket.arrival == '22:13' assert ticket.price == pytest.approx(49.95) assert ticket.train_id == '11514' def test_get_train_tickets_raises_error_if_invalid_date(self): """Test get_train_tickets() method raises error if invalid date""" scraper = RenfeScraper() with pytest.raises(ValueError): scraper.get_train_tickets('Barcelona', 'Madrid', '') scraper.get_train_tickets('Barcelona', '', '2020-01-01') scraper.get_train_tickets('', '', '') <|file_sep|># coding=utf-8 """Contains core classes""" import re from requests_html import HTMLSession from .models import TrainTickets class RenfeScraper: """Class that contains all methods needed for scraping""" def __init__(self): """Constructor method""" def get_train_tickets(self, origin_station=None, destination_station=None, date=None): """ Returns all available train tickets between two stations at a specific date. :param origin_station: :param destination_station: :param date: :return: """ if not origin_station or not destination_station or not date: raise ValueError("You must provide an origin station, " "a destination station and a date.") session = HTMLSession() # Retrieve HTML page with all stations info response = session.get("http://www.renfe.com/tiempo-real") # Find all stations using CSS selectors # This will return a list with every station name within HTML tags # Eg.: ['Alacant', '', ...] stations_list = response.html.find(".select-autocompleter-list li") # Extract only stations names from list created before using regex # This will return only names without HTML tags (ie.: Alacant-Alacant-Elx Airport) stations_names = [re.search('', station).group(1) for station in stations_list] # Create dictionary where key is station name (ie.: Alacant-Alacant-Elx Airport) # and value is its corresponding station code (ie.: ALC) stations_dict = dict() for station in stations_list: match = re.search('', station.html) if match.group(1) != '' and match.group(2) != '': stations_dict.update({match.group(2): match.group(1)}) if origin_station not in stations_dict.keys() or destination_station not in stations_dict.keys(): raise ValueError("Invalid origin or destination station") url_template = "https://www.renfe.com/viajeros/tarifas-y-reservas" "/billetes/trenes/buscar?viajeId=VIAJE_ID&origen={}&destino={}" "&fechaId={}&horaInicio={}&horaFin={}" url_params_template = { "viajeId": "ID_VIAJE", "origen": "", "destino": "", "fechaId": "", "horaInicio": "", "horaFin": "" } url_params_template["origen"] = stations_dict[origin_station] url_params_template["destino"] = stations_dict[destination_station] url_params_template["fechaId"] = date.replace('-', '') response = session.get(url_template.format( url_params_template["origen"], url_params_template["destino"], url_params_template["fechaId"], "", "")) # Extract ID_VIAJE from URL query string using regex url_query_string_match = re.search("viajeId=(w+)&", response.url) if url_query_string_match is None: raise ValueError("No ID_VIAJE found") url_params_template["viajeId"] = url_query_string_match.group(1) response = session.get(url_template.format( url_params_template["origen"], url_params_template["destino"], url_params_template["fechaId"], "00", "23")) trains_list_html = response.html.find(".col-xs-12.col-sm-6.col-md-4.col-lg-3") trains_list = [] for train_html in trains_list_html: train_dict = {} train_dict['train_type'] = train_html.find(".nombre-tipo-tren")[0].text raw_price_text_list = train_html.find(".precio")[0].text.split(" ") if len(raw_price_text_list) > 1: raw_price_text_list.pop(0) train_dict['price'] = float(raw_price_text_list[0].replace(',', '.')) raw_price_text_list.pop(0) if len(raw_price_text_list) > 0: if raw_price_text_list[0] != '' and raw_price_text_list[0] != u'xa0': train_dict['price'] += float(raw_price_text_list[0].replace(',', '.')) else: train_dict['price'] += float(raw_price_text_list[0].replace(',', '.')) link_element_html = train_html.find("a", first=True) link_element_url_query_string_match = re.search("tren=(w+)&", link_element_html.attrs['href']) if link_element_url_query_string_match is None: raise ValueError("No TREN found") train_dict['train_id'] = link_element_url_query_string_match.group(1) trains_details_response = session.get("https://www.renfe.com/viajeros/tarifas-y-reservas" "/billetes/trenes/detalles/" + str(train_dict['train_id'])) trains_details_response_json = trains_details_response.json()['viajes'] for i in range(len(trains_details_response_json)): trains_details_response_json[i]['horario']['origen'] .update({'nombre': origin_station}) trains_details_response_json[i]['horario']['destino'] .update({'nombre': destination_station}) if i % len(trains_details_response_json) / len(trains_details_response_json) <= (len(trains_details_response_json) / len(trains_details_response_json)) * .5: trains_details_response_json[i]['horario']['tipo_viaje'] .update({'id': "IDA", "nombre": "IDA"}) else: trains_details_response_json[i]['horario']['tipo_viaje'] .update({'id': "VUELTA", "nombre": "VUELTA"}) trains_list.append(trains_details_response_json[i]) else: link_element_html = train_html.find("a", first=True) link_element_url_query_string_match = re.search("tren=(w+)&", link_element_html.attrs['href']) if link_element_url_query_string_match is None: raise ValueError("No TREN found") train_dict['train_id'] = link_element_url_query_string_match.group(1) trains_details_response = session.get("https://www.renfe.com/viajeros/tarifas-y-reservas" "/billetes/trenes/detalles/" + str(train_dict['train_id'])) trains_details_response_json = trains_details_response.json()['viajes'] for i in range(len(trains_details_response_json)): trains_details_response_json[i]['horario']['origen'].update({'nombre': origin_station}) trains_details_response_json[i]['horario']['destino'].update({'nombre': destination_station}) if i % len(trains_details_response_json) / len(trains_details_response_json) <= (len(trains_details_response_json) / len(trains_details_response_json)) * .5: trains_details_response_json[i]['horario']['tipo_viaje'].update({'id': "IDA", "nombre": "IDA"}) else: trains_details_response_json[i]['horario']['tipo_viaje'].update({'id': "VUELTA", "nombre": "VUELTA"}) trains_list.append(trains_details_response_json[i]) return TrainTickets(trains_list) <|file_sep|>[tox] envlist = py36-django{111} py36-django{20} py37-django{111} py37-django{20} [testenv] deps = django111: Django==1.11.* django20: Django==2