From 0e6a0a9b4339e649d11a5e230485dc6d72dc9772 Mon Sep 17 00:00:00 2001 From: tadghh Date: Wed, 20 Dec 2023 16:05:51 -0600 Subject: [PATCH] init --- .gitignore | 7 +- CommonQueries.sql | 72 ---------- Project - Rev9.pdf | Bin 131014 -> 0 bytes README.md | 187 ++++++------------------- Weather Processing/requirements.txt | 24 +--- Weather Processing/weather_data.sqlite | Bin 761856 -> 0 bytes 6 files changed, 51 insertions(+), 239 deletions(-) delete mode 100644 CommonQueries.sql delete mode 100644 Project - Rev9.pdf delete mode 100644 Weather Processing/weather_data.sqlite diff --git a/.gitignore b/.gitignore index 9afca40..a228c86 100644 --- a/.gitignore +++ b/.gitignore @@ -8,4 +8,9 @@ __pycache__/ .vscode/ /build -/Weather Processing/dist \ No newline at end of file +/*/dist +/dist +/.venv +.obsidian +/Weather Processing/weather_data.sqlite +Weather Processing/weather_data.sqlite \ No newline at end of file diff --git a/CommonQueries.sql b/CommonQueries.sql deleted file mode 100644 index e7faa81..0000000 --- a/CommonQueries.sql +++ /dev/null @@ -1,72 +0,0 @@ --- Made by Cole Cianflone - --- Get all data -SELECT * FROM weather ORDER BY sample_date ASC - --- Calculate average for mean -SELECT strftime('%m', sample_date) AS month, - ROUND(AVG(avg_temp), 2) AS avg_min_temp -FROM weather -GROUP BY month -ORDER BY month; - --- Calculate average for min -SELECT strftime('%m', sample_date) AS month, - ROUND(AVG(min_temp), 2) AS avg_min_temp -FROM weather -GROUP BY month -ORDER BY month; - --- Calculate average for max -SELECT strftime('%m', sample_date) AS month, - ROUND(AVG(max_temp), 2) AS avg_max_temp -FROM weather -GROUP BY month -ORDER BY month; - --- Calculate average for all months for min, max, and mean -SELECT strftime('%m', sample_date) AS month, - AVG(min_temp) AS avg_min_temp, - AVG(max_temp) AS avg_max_temp, - AVG(avg_temp) AS avg_mean_temp -FROM weather -WHERE NOT ( - (min_temp LIKE '%M%' OR min_temp IS null) - AND (max_temp LIKE '%M%' OR max_temp IS null) - AND (avg_temp LIKE '%M%' OR avg_temp IS null) - ) -GROUP BY month -ORDER BY month; - --- Select used in fetch_data (returns null instead of 'M') -SELECT sample_date, - CASE - WHEN min_temp LIKE '%M%' THEN NULL - ELSE min_temp - END AS min_temp, - CASE - WHEN max_temp LIKE '%M%' THEN NULL - ELSE max_temp - END AS max_temp, - CASE - WHEN avg_temp LIKE '%M%' THEN NULL - ELSE avg_temp - END AS avg_temp -FROM - weather -WHERE - strftime('%Y', sample_date) BETWEEN '1996' AND '2000' - AND NOT ( - (min_temp LIKE '%M%' OR min_temp IS null) - AND (max_temp LIKE '%M%' OR max_temp IS null) - AND (avg_temp LIKE '%M%' OR avg_temp IS null) - ); - --- Gets the mean daily temps of a particular month and year for all days of that month -SELECT strftime('%Y-%m-%d', sample_date) AS day, -AVG(avg_temp) AS mean_daily_temp -FROM weather -WHERE strftime('%Y', sample_date) = '1996' - AND strftime('%m', sample_date) = '10' -GROUP BY day -ORDER BY day; diff --git a/Project - Rev9.pdf b/Project - Rev9.pdf 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b/README.md @@ -1,160 +1,53 @@ # Weather Scraper Apprentice ![Application Icon](./Build%20Files/icons/icon.png) - -# Setup - +## Building - Install Python 3.12 - -- Start a venv with the Activate.ps1 in /.env/Scripts/Activate.ps1 - - - This creates an enviroment that will prevent errors or conflits - +- Create a virtual environment - Run BuildMe.ps1 + - Temporarily bypass the execution policy +### Download and Build +``` +git clone git@github.com:tadghh/PythonWeatherApp.git +cd .\PythonWeatherApp\ +python -m venv venv +venv\Scripts\activate +pip install -r '.\Weather Processing\requirements.txt' +powershell -ExecutionPolicy Bypass -File .\BuildMe.ps1 + +``` -- Use Inno Setup with the spec file if you want to create an installer +After running *BuildMe.ps1* a dist folder will be created that contains the built CLI program. -# Features +Optional +> To create an installer use the spec file with Inno Setup +## Features +- PEP8 Compliant - Multithreading - - Can scrape weather data from 1996 to 2023 in under 30 seconds + - Can scrape weather data from 1996 to 2023 in 30 seconds +- Uses SQLite to store weather info + - Added an index to quickly update data with distinct data - Error handling -- Data Visualization -- Logging -- - -### Mark: 104 - -### Weather Scraper - -- [x] **Name / 6** - - - WeatherScraper class has been created inside a scrape_weather module. - -- [x] **Parse / 6** - - - Code uses the Python HTMLParser class to parse the website html. - -- [x] **Collect Data / 6** - - - Code successfully scrapes the min, max & mean temperature and date, and stores them in a dictionary of dictionaries. - -- [x] **Detect End / 6** - - - Code successfully scrapes weather data from the current date, as far back in time as is available. - - Last available weather date should be automatically detected in some way, not hard coded. - -- [x] **I/O / 6** - - Code receives a url to scrape as input, and outputs the scraped data for use in other parts of the program. - -### Database Operations - -- [x] **Name / 4** - - - A class named DBOperations has been created inside a db_operations module. - -- [x] **Context Manager / 4** - - - Code uses a database context manager named DBCM correctly. - - DBCM returns a cursor object in **enter**. - - DBCM commits changes and closes all connection objects in **exit**. - -- [x] **Initialise / 4** - - - Code successfully initializes the database and creates the necessary tables/fields if they don't already exist, every time the program starts. - -- [x] **Store / 4** - - - Code receives & processes date, min, max & mean temperature as input, checks for duplicates in some way, and successfully stores it in the database. - -- [x] **I/O / 4** - - DBOperations outputs the data required for plotting. - -### Plotting - -- [x] **Name / 3** - - - A class named PlotOperations has been created inside a plot_operations module. - -- [x] **Box Plot / 3** - - - Code successfully uses Python matplotlib to create a basic boxplot of mean temperature data with the same labels/design given in the example. - -- [x] **Line Plot / 3** - - - Code successfully uses Python matplotlib to create a line plot of mean temperature data for a particular month. - -- [x] **Process / 3** - - - PlotOperations receives & processes the data to be used in the plots. Data is processed in PlotOperations not DBOperations. - -- [x] **Format / 3** - - Plots are formatted nicely and include axis labels and title. - - Title includes the correct year or month/day. - - No axis items are overlapping. - -### User Interaction - -- [x] **Name / 5** - - - A class named WeatherProcessor has been created in a module named weather_processor. - -- [x] **Fetch Data / 5** - - - On startup, code successfully prompts the user to download a full set of weather data, or update their existing data. - -- [x] **Plot / 5** - - - Code successfully prompts the user for a date range of interest to display. - - From year, to year for box plot. - - Year and month for line plot. - - User prompt shows date format example. - -- [x] **Manage / 5** - - Code successfully launches and manages all the other tasks. - -### Packaging - -- [x] **Create / 5** - - - Successfully create a Windows package installer using Inno Setup, which includes a logo and license agreement. - -- [ ] **Install & Run / 5** - - Package can be installed successfully on Windows. - - Program runs successfully after installation. - -### Additional Requirements - -- [x] **PEP8 Compliance / 1** - - - Code adheres to PEP8 standard by achieving a score of 8 or higher using pylint. - -- [x] **Docstrings / 1** - - - Code blocks include comments. - - Code documentation includes module, class & function/method level docstrings. - -- [x] **Participation / 1** - - - Each module/class/function documentation contains the names of the people who worked on it. - -- [x] **Error Handling & Logging / 1** - - - Every function/method implements error handling that logs errors to a file using the python logging module. - -- [ ] **Q&A / 1** - -### Bonus 1 - Optional - -- [ ] **UI / 10** - - Create a user interface for all user interaction. All the widgets are labelled and aligned properly. The UI is polished and presentable, ready for sale. - -### Bonus 2 - Optional - -- [x] **Thread / 5** - - Implement threading in your scraping class to speed up scraping operations. - -## Status +- UX focused menu +- Data visualization + - Box plot that can show average temperatures for each month across a range of years + - Line graph, this allows you to see the temperature of a specific month and year +- Error logging + +## Libraries +- pylint +- contourpy +- kiwisolver +- lxml +- matplotlib +- numpy +- Pillow +- pyinstaller +- pyinstaller-hooks-contrib +- Menu +- tqdm +## Code quality Our code quality is currently... diff --git a/Weather Processing/requirements.txt b/Weather Processing/requirements.txt index 920bd44..ffb04aa 100644 --- a/Weather Processing/requirements.txt +++ b/Weather Processing/requirements.txt @@ -1,26 +1,12 @@ # requirements.txt -pylint -altgraph==0.17.4 -colorama==0.4.6 +pylint==3.0.3 contourpy==1.2.0 -cycler==0.12.1 -fonttools==4.46.0 -html5lib==1.1 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