hackathon

Author: Chardonneaur

output.csv

@@ -0,0 +1,4 @@
+The top 5 browsers used to access your website are: Chrome 66.0, Mobile Safari 11.0, Chrome Mobile 66.0, Chrome 67.0, Internet Explorer 11.0
+
+To improve your website, you should ensure it works optimally on these browsers.
+This includes testing layout, functionality, and performance on these browsers.

output.txt

@@ -45,8 +45,14 @@
 # Define the base URL
 base_url = "https://demo.matomo.cloud"
 
-# Prompt the user for the components of the URL
-url_path = input("Enter the URL path (default is '/index.php?module=API&format=JSON&period=range&date=2024-01-01,2024-01-01&method=Live.getLastVisitsDetails&filter_limit=1000&expanded=1'): ") or "/index.php?module=API&format=JSON&period=range&date=2024-01-01,2024-01-01&method=Live.getLastVisitsDetails&filter_limit=1000&expanded=1"
+# Prompt the user for the date range
+start_date = input("Enter the start date (format: YYYY-MM-DD): ") or "2024-01-01"
+end_date = input("Enter the end date (format: YYYY-MM-DD): ") or "2024-01-01"
+
+# Construct the URL path with the date range
+url_path = f"/index.php?module=API&format=JSON&period=range&date={start_date},{end_date}&method=Live.getLastVisitsDetails&filter_limit=1000&expanded=1"
+
+# Prompt the user for the idSite and token_auth
 id_site = input("Enter the idSite (default is 1): ") or "1"
 token_auth = input("Enter the token_auth: ")
 
@@ -63,7 +69,7 @@
 # Set the filename of the JSON data source
 filename = "data_source.json"
 
-description = f"Create a Python script where the source of the data is a file named {filename} by using those dimensions: {', '.join(selected_dimensions)}. {report_type}. {action_details_handling} At the end, export the data as a CSV file named 'output.csv'."
+description = f"Create a Python script where the source of the data is a file named {filename} by using those dimensions: {', '.join(selected_dimensions)}. {report_type}. {action_details_handling} From those data, give me your analysis in order to improve my website. At the end, export the data as a CSV file named 'output.csv'."
 
 # Print the prompt that will be sent to Mistral AI
 print("Prompt:", description)

queryquest.py

@@ -1,14 +1,28 @@
 
 import pandas as pd
+import matplotlib.pyplot as plt
+import json
 
 # Load the data from the JSON file
-df = pd.read_json('data_source.json')
+with open('data_source.json') as f:
+    data = json.load(f)
 
-# Group by 'country' and count the occurrences
-grouped = df.groupby('country').size().reset_index(name='count')
+# Convert the JSON data to a pandas DataFrame
+df = pd.DataFrame(data)
 
-# Sort by 'count' in descending order and get the top 5
-top_5 = grouped.sort_values('count', ascending=False).head(5)
+# Count the frequency of each country
+country_counts = df['country'].value_counts()
 
-# Export the top 5 to a CSV file
-top_5.to_csv('output.csv', index=False)
+# Create a pie chart
+plt.pie(country_counts, labels=country_counts.index, autopct='%1.1f%%')
+plt.title('Most Popular Countries')
+plt.show()
+
+# Analysis
+print("Analysis:")
+print("The most popular countries on your website are:")
+print(country_counts.head())
+print("\nTo improve your website, you might want to consider adding more content or features that cater to these countries.")
+
+# Export the data to a CSV file
+df.to_csv('output.csv', index=False)