Doc/updated documentation (#60)
* added documentation, updated repo pointer in the dashboard, added dashboard link highlighting and mionor fixes * added doc * added logo to dashboard * Fixed dashboard attack chart * Enhance fake data generation with varied request counts for better visualization * Add automatic migrations and support for latitude/longitude in IP stats * Update Helm chart version to 0.2.2 and add timezone configuration option --------- Co-authored-by: BlessedRebuS <patrick.difa@gmail.com>
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@@ -308,11 +308,28 @@ def generate_fake_data(
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# Select random IPs from the pool
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selected_ips = random.sample(FAKE_IPS, min(num_ips, len(FAKE_IPS)))
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for ip in selected_ips:
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app_logger.info(f"\nGenerating data for IP: {ip}")
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# Create a varied distribution of request counts for better visualization
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# Some IPs with very few requests, some with moderate, some with high
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request_counts = []
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for i in range(len(selected_ips)):
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if i < len(selected_ips) // 5: # 20% high-traffic IPs
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count = random.randint(1000, 10000)
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elif i < len(selected_ips) // 2: # 30% medium-traffic IPs
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count = random.randint(100, 1000)
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else: # 50% low-traffic IPs
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count = random.randint(5, 100)
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request_counts.append(count)
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random.shuffle(request_counts) # Randomize the order
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for idx, ip in enumerate(selected_ips):
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current_logs_count = request_counts[idx]
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app_logger.info(
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f"\nGenerating data for IP: {ip} ({current_logs_count} requests)"
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)
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# Generate access logs for this IP
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for _ in range(logs_per_ip):
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for _ in range(current_logs_count):
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path = random.choice(FAKE_PATHS)
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user_agent = random.choice(FAKE_USER_AGENTS)
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is_suspicious = random.choice(
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@@ -358,7 +375,7 @@ def generate_fake_data(
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if cred_id:
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total_credentials += 1
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app_logger.info(f" ✓ Generated {logs_per_ip} access logs")
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app_logger.info(f" ✓ Generated {current_logs_count} access logs")
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app_logger.info(f" ✓ Generated {credentials_per_ip} credential attempts")
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# Fetch geolocation data from API
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