Add external session preference #3
48
README.md
48
README.md
@@ -30,6 +30,20 @@ docker-compose up --build
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The application will automatically check for available sessions and book them based on your preferences. It will send notifications via email and Telegram when a booking is successful.
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### Configuring Preferred Sessions
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You can configure your preferred sessions using the `preferred_sessions.json` file. This file should contain a JSON array of session names, for example:
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```json
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[
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"Morning Class",
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"Evening Class",
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"Saturday Open Gym"
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]
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```
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If the file is not found or contains invalid data, the application will use default hardcoded sessions.
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### Environment Variables
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The following environment variables are required:
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@@ -44,16 +58,36 @@ The following environment variables are required:
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### Preferred Sessions
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You can configure your preferred sessions in the `crossfit_booker.py` file. The preferred sessions are defined as a list of tuples, where each tuple contains the day of the week, start time, and session name.
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You can configure your preferred sessions in the `preferred_sessions.json` file. The preferred sessions are defined as a list of objects, where each object contains the day of the week, start time, and session name.
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```python
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PREFERRED_SESSIONS = [
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(4, "17:00", "WEIGHTLIFTING"), # Friday 17:00 WEIGHTLIFTING
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(5, "12:30", "HYROX"), # Saturday 12:30 HYROX
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(2, "18:30", "CONDITIONING"), # Wednesday 18:30 CONDITIONING
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```json
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[
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{
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"day_of_week": 4,
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"start_time": "17:00",
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"session_name_contains": "WEIGHTLIFTING"
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},
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{
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"day_of_week": 5,
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"start_time": "12:30",
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"session_name_contains": "HYROX"
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},
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{
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"day_of_week": 2,
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"start_time": "18:30",
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"session_name_contains": "CONDITIONING"
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}
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]
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```
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The application will automatically load the preferred sessions from this file. If the file is not found or contains invalid data, it will fall back to the default hardcoded sessions.
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#### Fields
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- `day_of_week`: Integer representing the day of the week (0=Monday, 6=Sunday)
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- `start_time`: String representing the start time in HH:MM format
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- `session_name_contains`: String containing the name or part of the name of the session
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## Files
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- `Dockerfile`: Docker image definition
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@@ -64,6 +98,7 @@ PREFERRED_SESSIONS = [
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- `book_crossfit.py`: Main application script
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- `crossfit_booker.py`: Crossfit booking script
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- `session_notifier.py`: Session notification script
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- `preferred_sessions.json`: Configuration file for preferred sessions
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- `requirements.txt`: Python dependencies
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## Project Structure
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@@ -79,6 +114,7 @@ PREFERRED_SESSIONS = [
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├── crossfit_booker.py
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├── session_notifier.py
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├── requirements.txt
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├── preferred_sessions.json
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└── log
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└── crossfit_booking.log
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```
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@@ -4,6 +4,20 @@ import traceback
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from crossfit_booker import CrossFitBooker
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if __name__ == "__main__":
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# Configure logging once at script startup
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logging.basicConfig(
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level=logging.DEBUG, # Change to DEBUG for more detailed logs
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler("log/crossfit_booking.log"),
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logging.StreamHandler()
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]
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)
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logging.getLogger("requests").setLevel(logging.WARNING)
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logging.info("Logging enhanced with request library noise reduction")
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# Start the main runner
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booker = CrossFitBooker()
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if not booker.login():
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logging.error("Failed to login - Traceback: %s", traceback.format_exc())
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@@ -18,6 +18,9 @@ from typing import List, Dict, Optional, Any
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# Import the SessionNotifier class
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from session_notifier import SessionNotifier
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# Import the preferred sessions from the session_config module
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from session_config import PREFERRED_SESSIONS
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load_dotenv()
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# Configuration
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@@ -38,29 +41,6 @@ RETRY_MAX = 3
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RETRY_BACKOFF = 1
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APP_VERSION = "5.09.21"
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# Define your preferred sessions
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# Format: List of tuples (day_of_week, start_time, session_name_contains)
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# day_of_week: 0=Monday, 6=Sunday
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PREFERRED_SESSIONS = [
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# (0, "17:00", "HYROX"), # Monday 17:00 HYROX
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(4, "17:00", "WEIGHTLIFTING"), # Friday 17:00 WEIGHTLIFTING
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(5, "12:30", "HYROX"), # Saturday 12:30 HYROX
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(2, "18:30", "CONDITIONING"), # Wednesday 18:30 CONDITIONING
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# (5, "15:15", "BIG WOD") # Saturday 15:15 BIG WOD
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]
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# Configure logging once at script startup
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logging.basicConfig(
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level=logging.DEBUG, # Change to DEBUG for more detailed logs
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler("log/crossfit_booking.log"),
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logging.StreamHandler()
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]
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)
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logging.getLogger("requests").setLevel(logging.WARNING)
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logging.info("Logging enhanced with request library noise reduction")
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class CrossFitBooker:
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def __init__(self) -> None:
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@@ -1,4 +1,3 @@
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version: '3.8'
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services:
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crossfit-booker:
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17
preferred_sessions.json
Normal file
17
preferred_sessions.json
Normal file
@@ -0,0 +1,17 @@
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[
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{
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"day_of_week": 2,
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"start_time": "18:30",
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"session_name_contains": "CONDITIONING"
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},
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{
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"day_of_week": 4,
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"start_time": "17:00",
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"session_name_contains": "WEIGHTLIFTING"
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},
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{
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"day_of_week": 5,
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"start_time": "12:30",
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"session_name_contains": "HYROX"
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}
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]
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42
session_config.py
Normal file
42
session_config.py
Normal file
@@ -0,0 +1,42 @@
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import json
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import logging
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from typing import List, Tuple
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# Class to handle session configuration
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class SessionConfig:
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"""
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Class to handle loading and managing preferred sessions configuration.
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"""
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@staticmethod
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def load_preferred_sessions():
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"""
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Load preferred sessions from a JSON file.
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Returns:
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List[Tuple[int, str, str]]: List of preferred sessions in the format
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(day_of_week, start_time, session_name_contains)
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"""
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preferred_sessions = []
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try:
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with open("preferred_sessions.json", "r") as f:
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data = json.load(f)
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for item in data:
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day_of_week = item.get("day_of_week", 0)
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start_time = item.get("start_time", "00:00")
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session_name_contains = item.get("session_name_contains", "")
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preferred_sessions.append((day_of_week, start_time, session_name_contains))
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except (FileNotFoundError, json.JSONDecodeError) as e:
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logging.warning(f"Failed to load preferred sessions from file: {str(e)}")
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# Fall back to default hardcoded sessions
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# preferred_sessions = [
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# (2, "18:30", "CONDITIONING"), # Wednesday 18:30 CONDITIONING
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# (4, "17:00", "WEIGHTLIFTING"), # Friday 17:00 WEIGHTLIFTING
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# (5, "12:30", "HYROX"), # Saturday 12:30 HYROX
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# ]
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return preferred_sessions
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# Load preferred sessions using the SessionConfig class
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PREFERRED_SESSIONS = SessionConfig.load_preferred_sessions()
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