Finn Harps vs Kerry FC – Betting Analysis

The upcoming match between Finn Harps and Kerry FC is set to be a thrilling encounter. Finn Harps have shown resilience in their recent performances, maintaining a solid defensive record. Meanwhile, Kerry FC has been struggling with form, particularly in away games, which could influence the dynamics of this match. Both teams have had key players sidelined due to injuries, adding another layer of unpredictability. Tactically, Finn Harps are expected to play a more conservative game, focusing on counter-attacks, while Kerry FC might adopt an aggressive approach to break down their opponents.

Finn Harps’ home advantage could play a crucial role in their strategy, as they aim to leverage their familiarity with the pitch and crowd support. On the other hand, Kerry FC will need to focus on exploiting any weaknesses in Finn Harps’ defense, especially considering their recent struggles with conceding goals. The tempo of the game is anticipated to be high, with both teams looking to capitalize on early opportunities.

Match Result (1X2)

Data Signals

Finn Harps have a stronger home record compared to Kerry FC’s recent away performances. This suggests a potential advantage for Finn Harps in securing a home victory. The average total goals scored by Finn Harps in their recent matches is higher than Kerry FC’s average conceded goals, indicating a favorable outcome for Finn Harps.

Risk Factors

The absence of key players due to injuries could impact Finn Harps’ attacking capabilities. Additionally, Kerry FC’s desperation to secure points might lead them to take more risks, potentially disrupting Finn Harps’ defensive setup.

Recommended Picks

Based on the data signals and risk factors, a pick favoring Finn Harps seems prudent. Their home advantage and solid defensive record make them a strong contender for winning this match.

Draw No Bet

Data Signals

Given Kerry FC’s poor away record and Finn Harps’ stronger home performance, the likelihood of a draw appears low. The predicted odds for both teams not scoring in either half further support this view.

Risk Factors

Kerry FC’s need for points might push them to avoid a draw at all costs, increasing the chances of an outright result rather than a stalemate.

Recommended Picks

Avoiding a bet on a draw seems wise given the current form and circumstances surrounding both teams.

Double Chance

Data Signals

The odds suggest that betting on Finn Harps or a draw could be favorable. Given their home advantage and recent form, Finn Harps are likely to perform well against an underperforming Kerry FC.

Risk Factors

Kerry FC’s aggressive approach might disrupt Finn Harps’ game plan, but the home team’s familiarity with their environment should mitigate this risk.

Recommended Picks

Opting for Finn Harps or draw offers a balanced approach, considering the potential outcomes based on current data.

Both Teams To Score (BTTS)

Data Signals

The predicted odds indicate that both teams scoring is more likely than not. This is supported by the average goals scored by both teams in recent matches.

Risk Factors

Kerry FC’s need for goals might lead them to take more risks, increasing the chances of them scoring against Finn Harps’ defense.

Recommended Picks

A BTTS bet aligns well with the predicted data and recent scoring trends of both teams.

Total Goals (Over/Under)

Data Signals

The average total goals expected is 4.50, suggesting an over 2.5 goals market might be favorable. Both teams have shown tendencies to score and concede multiple goals in recent fixtures.

Risk Factors

Injuries and tactical changes could affect the expected goal output, but historical data supports an over bet.

Recommended Picks

Betting on over 2.5 goals seems consistent with the data trends and expected match dynamics.

Asian Handicap

Data Signals

Finn Harps’ stronger home form and Kerry FC’s struggles away from home suggest that Finn Harps might cover a small handicap.

Risk Factors

Kerry FC’s aggressive tactics could lead to unexpected results, but Finn Harps’ defensive solidity should help mitigate this risk.

Recommended Picks

A small handicap favoring Finn Harps aligns with current form and predictions.

Player Props

Data Signals

Key players returning from injury could impact individual performance metrics. Monitoring player fitness and form leading up to the match will be crucial for accurate predictions.

Risk Factors

Injury concerns remain a significant risk factor for player props, as any last-minute changes could alter performance expectations.

Recommended Picks

Focus on players with consistent recent performances and minimal injury concerns for reliable prop bets.

Cards (Yellow/Red)

Data Signals

The predicted red card probability suggests cautious play from both teams. However, aggressive tactics from Kerry FC might increase card risks.

Risk Factors

Referee tendencies towards strict officiating could lead to more bookings than anticipated.
[0]: #!/usr/bin/env python
[1]: # -*- coding: utf-8 -*-
[2]: #
[3]: # Copyright 2014 – Mirantis, Inc.<

[4]: import logging
[5]: import os
[6]: import time
[7]: import yaml

[8]: from six.moves import configparser

[9]: from sahinlib.utils import utils
[10]: from sahinlib.utils.exceptions import SaHinException

[11]: logger = logging.getLogger(__name__)

[12]: def load_config(config_file=None):
[13]: """Load config file."""
[14]: config = configparser.RawConfigParser()
[15]: if not config_file:
[16]: config_file = utils.get_default_config_path()

[17]: if not os.path.exists(config_file):
[18]: raise SaHinException('Config file not found.')

[19]: logger.debug('Loading config file %s', config_file)
[20]: try:
[21]: config.read(config_file)
[22]: except configparser.Error as e:
[23]: raise SaHinException('Error parsing config file: %s' % e)

[24]: return config

[25]: def load_service_catalog():
[26]: """Load service catalog."""
[27]: logger.debug('Loading service catalog')
[28]: try:
[29]: service_catalog = utils.open_remote_file(
[30]: '/tmp/service_catalog.yaml',
[31]: 'admin',
[32]: 'admin',
[33]: 'admin',
[34]: '/usr/share/openstack/tripleo-adminrc'
[35]: )
[36]: return yaml.safe_load(service_catalog)
[37]: except Exception as e:
[38]: raise SaHinException(
[39]: 'Failed loading service catalog: %s' % e.message)

[40]: def get_service_info(service_type):
[41]: """Get information about service."""
[42]: logger.debug('Getting information about service type %s', service_type)
[43]: catalog = load_service_catalog()
[44]: for entry in catalog['access']['serviceCatalog']:
[45]: if entry['type'] == service_type:
[46]: return entry

[47]: raise SaHinException('No such service type %s.' % service_type)

[48]: def get_service_endpoint(service_type):
[49]: """Get endpoint URL."""
[50]: info = get_service_info(service_type)

***** Tag Data *****
ID: 1
description: Function `load_service_catalog` loads a remote YAML file containing OpenStack
service catalog information using advanced remote file operations via `utils.open_remote_file`.
It involves network operations and YAML parsing which can be complex due to potential
failures at multiple stages (network issues, file parsing errors).
start line: 25
end line: 39
dependencies:
– type: Function
name: load_service_catalog
start line: 25
end line: 39
– type: Function
name: open_remote_file
start line: 29
end line: 35
description: This function is part of `utils` module which handles opening remote
files securely over SSH or similar protocols. It is crucial for understanding how
remote files are fetched in `load_service_catalog`.
– type: Function
name: yaml.safe_load
start line: 36
end line: 36
context description: This function is essential for loading OpenStack service catalog,
which can be used by other functions like `get_service_info` and `get_service_endpoint`
that depend on this data structure being available locally after fetching it remotely.
algorithmic depth: 4
algorithmic depth external: N
obscurity: 4
advanced coding concepts: 4
interesting for students: 5
self contained: N

*************
## Suggestions for complexity

1. **Asynchronous File Loading**: Modify `load_service_catalog` to use asynchronous I/O operations for loading the remote file, improving performance especially when dealing with slow network connections.

2. **Caching Mechanism**: Implement a caching mechanism that stores the fetched service catalog locally and only fetches it again if it’s older than a specified time interval.

3. **Dynamic User Credentials**: Allow dynamic fetching of user credentials instead of hardcoding them into the function call.

4. **Advanced Error Handling**: Enhance error handling by categorizing exceptions into different types (e.g., network errors vs file parsing errors) and implementing retry logic.

5. **Security Enhancements**: Integrate secure methods like encrypted channels (e.g., using SSH keys) or OAuth tokens instead of basic authentication.

## Conversation

Hello AI Assistant I have this piece of code that loads OpenStack service catalog [SNIPPET] I need your help making some changes

Sure! How can I assist you with this code? Do you have any specific modifications or enhancements in mind?

Yes so first thing i want is async I/O operations because sometimes network slow i want it faster can you help

Certainly! We can use Python’s `asyncio` library along with `aiofiles` for asynchronous file operations and `aiohttp` for handling HTTP requests asynchronously. Here’s how you can modify your function:

Firstly, ensure you have installed `aiohttp` and `aiofiles`:

sh
pip install aiohttp aiofiles

Then modify your function like this:

python
import asyncio
import aiohttp
import aiofiles

async def fetch_remote_file(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
if response.status != 200:
raise SaHinException(f”Failed to fetch remote file: {response.status}”)
return await response.text()

async def load_service_catalog():
“””Load service catalog asynchronously.”””
logger.debug(‘Loading service catalog’)
try:
url = ‘/tmp/service_catalog.yaml’
content = await fetch_remote_file(url)
async with aiofiles.open(url, mode=’w’) as f:
await f.write(content)

async with aiofiles.open(url, mode=’r’) as f:
service_catalog = await f.read()

return yaml.safe_load(service_catalog)
except Exception as e:
raise SaHinException(f’Failed loading service catalog: {e}’)

This modification will allow your function to perform asynchronous HTTP requests and file operations.

great now next thing i want add caching so it dont always fetch if its already there recently maybe cache it for like an hour

Sure thing! We can add a caching mechanism using Python’s `time` module to check the timestamp of when the file was last fetched.

Here’s how you can modify your function:

python
import asyncio
import aiohttp
import aiofiles
import os
import time

CACHE_EXPIRY_TIME = 3600 # Cache expiry time in seconds (1 hour)

async def fetch_remote_file(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
if response.status != 200:
raise SaHinException(f”Failed to fetch remote file: {response.status}”)
return await response.text()

async def load_service_catalog():
“””Load service catalog asynchronously with caching.”””
cache_path = ‘/tmp/service_catalog.yaml’
cache_time_path = ‘/tmp/service_catalog_time.txt’

# Check if cached file exists and is fresh enough
if os.path.exists(cache_path) and os.path.exists(cache_time_path):
last_fetched_time = float(open(cache_time_path).read())
if time.time() – last_fetched_time < CACHE_EXPIRY_TIME:
async with aiofiles.open(cache_path, mode='r') as f:
return yaml.safe_load(await f.read())

logger.debug('Fetching new service catalog')
try:
content = await fetch_remote_file('/tmp/service_catalog.yaml')

async with aiofiles.open(cache_path, mode='w') as f:
await f.write(content)

async with aiofiles.open(cache_time_path, mode='w') as f:
await f.write(str(time.time()))

async with aiofiles.open(cache_path, mode='r') as f:
service_catalog = await f.read()

return yaml.safe_load(service_catalog)
except Exception as e:
raise SaHinException(f'Failed loading service catalog: {e}')

This modification checks whether the cached file exists and whether it was fetched within the last hour before deciding whether to fetch it again or use the cached version.

ok now another thing what about dynamically getting user credentials instead of hardcoding them into function call

Absolutely! We can modify your code so that it dynamically retrieves user credentials from environment variables or another secure storage mechanism.

Here’s an example using environment variables:

python
import asyncio
import aiohttp
import aiofiles
import os
import time

CACHE_EXPIRY_TIME = 3600 # Cache expiry time in seconds (1 hour)

async def fetch_remote_file(url):
username = os.getenv(‘SERVICE_USERNAME’)
password = os.getenv(‘SERVICE_PASSWORD’)
private_key_path = os.getenv(‘PRIVATE_KEY_PATH’)

if not username or not password or not private_key_path:
raise SaHinException(“Missing required environment variables”)

async with aiohttp.ClientSession(auth=aiohttp.BasicAuth(username=username, password=password)) as session:
async with session.get(url) as response:
if response.status != 200:
raise SaHinException(f”Failed to fetch remote file: {response.status}”)
return await response.text()

async def load_service_catalog():
“””Load service catalog asynchronously with caching.”””
cache_path = ‘/tmp/service_catalog.yaml’
cache_time_path = ‘/tmp/service_catalog_time.txt’

# Check if cached file exists and is fresh enough
if os.path.exists(cache_path) and os.path.exists(cache_time_path):
last_fetched_time = float(open(cache_time_path).read())
if time.time() – last_fetched_time < CACHE_EXPIRY_TIME:
async with aiofiles.open(cache_path, mode='r') as f:
return yaml.safe_load(await f.read())

logger.debug('Fetching new service catalog')
try:
content = await fetch_remote_file('/tmp/service_catalog.yaml')

async with aiofiles.open(cache_path, mode='w') as f:
await f.write(content)

async with aiofiles.open(cache_time_path, mode='w') as f:
await f.write(str(time.time()))

async with aiofiles.open(cache_path, mode='r') as f:
service_catalog = await f.read()

return yaml.safe_load(service_catalog)
except Exception as e:
raise SaHinException(f'Failed loading service catalog: {e}')

You would set up your environment variables like so:

sh
export SERVICE_USERNAME=admin_user_here
export SERVICE_PASSWORD=admin_password_here_or_token_if_using_oauth/
export PRIVATE_KEY_PATH=/path/to/private/key_if_needed/

This way you avoid hardcoding sensitive information directly into your codebase.

1: DOI: 10.1155/2020/4854127
2: # Correlation between Sleep Quality Index Scores and Pain Intensity among Patients with Temporomandibular Disorder Receiving Conservative Treatment at University Dental Hospital of Alexandria University Egypt during Period March-April-2020 (Covid-19 Lockdown Period): A Cross-Sectional Study Design Utilizing Spearman Correlation Coefficient Test Methodology Analysis
3: Authors: Ahmed Morsy Abd El Megied Abul Fotouh El Sayed Hussein Mohamed Sadek Mohammed Hassan Atef Fahmy El-Kharabawy Ibrahim El-Guindy Abou Elela Mohamed Ghaleb Hassan El-Husseny Mohamed Mostafa Mahmoud Abd El Aziz Ahmed Mohammed Fathi Hamed Mohamed Adel Abdul Majeed Mohammed Sherif Abdel Rahman Tarek Hussein Mohamed El-Sayed Ali Ibrahim Aboelsoud Shoukry Mohamed Hassan Ahmed Fawzi Yassin Ahmed Farouk Badr El-Sayed Abd El-Rahman Zaki Mohamed Khaled Osama Ezzat Ahmed Emad Mahmoud Fathi Abdel Monem Esmat Abdel Razek Hassan Mohamed Sherif Mohamed Ahmed Ismail Nabil Abd Al-Wahab Ibrahim Mahmoud Khaled Hassan Ali Hassan Tarek Hesham Ahmed Hossam Abd El-Moneim Mohamed Bassam Kamal Abdel-Mone