Double-click each table to preview the data. You should see the following tables in the user_database database: city and meteo. If you haven't installed the SQLite database driver yet, click the and click the warning message to install the missing driver. Save the user_database file in the project root directory.ĭouble-click the added file and open the Database tool window. With P圜harm, it is quite straightforward.ĭownload the predefined database with the meteo data for five cities from the following location: Now, set up a data source for your application. Right-click the project root and select New | File, then specify requirements.txt as the filename and add the following list of the dependencies to it.Ĭlick the Install requirements link to proceed with installation of the packages. The easiest way to do that is to use project dependencies (see Use requirements.txt). Now install all the packages required for the MeteoMaster application. In the Run tool window, click the hyperlink and preview the target page.

Leave the rest of the settings default and save the changes.Ĭlick Shift+F10 to run the default application. In the Location field, provide the path to the project location and type the MeteoMaster as the project name. Creating a Flask application in P圜harmĬreate a basic Flask project as described in Creating a Flask Project to start prototyping the application.

EditĪ series of pages for editing city specific data.Įach HTML page has a corresponding Flask view implemented in Python code. One needs to enter the valid credentials to edit meteo data. CityĪ series of pages with the detailed information about climate in each city. The MeteoMaster is a web application that comprises the following components: Main pageĪpplication entry point that renders the scatter chart and provides links to the detailed summary of climate in a particular city. HTML to create page views and Jinja to create smart templates.įlask to orchestrate the application content. SQLite database to store data, SQLAlchemy package to perform operations with the database in Python code.

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