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fix: TLD detail pages and history API

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- Backend: Support DB-only TLDs in /{tld}, /{tld}/compare endpoints
- Backend: Generate simulated history for 12-month trend charts
- Frontend: Fix edge cases (empty prices array)
- Frontend: Use API data for trend/registry/description
- Frontend: Request 365 days history for better trends
This commit is contained in:
yves.gugger
2025-12-08 09:52:13 +01:00
parent ebcf5f1f16
commit 400aa01c18
2 changed files with 162 additions and 121 deletions
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253
backend/app/api/tld_prices.py
View File

@ -473,85 +473,56 @@ async def get_tld_price_history(
"""Get price history for a specific TLD.
Returns real historical data from database if available,
otherwise generates simulated data based on trends.
otherwise generates simulated data based on current price.
"""
import math
tld_clean = tld.lower().lstrip(".")
# Try to get real historical data from database
cutoff = datetime.utcnow() - timedelta(days=days)
result = await db.execute(
select(TLDPrice)
.where(TLDPrice.tld == tld_clean)
.where(TLDPrice.recorded_at >= cutoff)
.order_by(TLDPrice.recorded_at)
)
db_prices = result.scalars().all()
# Get current price from database
db_prices = await get_db_prices(db, tld_clean)
current_price = 0
# If we have database data, use it
if db_prices:
# Group by date and calculate daily average
daily_prices = {}
for p in db_prices:
date_key = p.recorded_at.strftime("%Y-%m-%d")
if date_key not in daily_prices:
daily_prices[date_key] = []
daily_prices[date_key].append(p.registration_price)
history = [
{"date": date, "price": round(sum(prices) / len(prices), 2)}
for date, prices in sorted(daily_prices.items())
]
current_price = history[-1]["price"] if history else 0
price_7d_ago = history[-8]["price"] if len(history) >= 8 else current_price
price_30d_ago = history[-31]["price"] if len(history) >= 31 else (history[0]["price"] if history else current_price)
price_90d_ago = history[0]["price"] if history else current_price
# Get static data for metadata if available
static_data = TLD_DATA.get(tld_clean, {})
return {
"tld": tld_clean,
"type": static_data.get("type", guess_tld_type(tld_clean)),
"description": static_data.get("description", f".{tld_clean} domain"),
"registry": static_data.get("registry", "Unknown"),
"current_price": current_price,
"price_change_7d": round((current_price - price_7d_ago) / price_7d_ago * 100, 2) if price_7d_ago else 0,
"price_change_30d": round((current_price - price_30d_ago) / price_30d_ago * 100, 2) if price_30d_ago else 0,
"price_change_90d": round((current_price - price_90d_ago) / price_90d_ago * 100, 2) if price_90d_ago else 0,
"trend": calculate_trend(history),
"trend_reason": "Based on real price data",
"history": history,
"source": "database",
}
if db_prices and tld_clean in db_prices:
prices = db_prices[tld_clean]["prices"]
current_price = round(sum(prices) / len(prices), 2) if prices else 0
# Fallback to static data with generated history
if tld_clean not in TLD_DATA:
# Get static data for metadata and trend info
static_data = TLD_DATA.get(tld_clean, {})
# Determine trend and current price
if not current_price and static_data:
current_price = get_avg_price(static_data)
if not current_price:
raise HTTPException(status_code=404, detail=f"TLD '.{tld_clean}' not found")
data = TLD_DATA[tld_clean]
current_price = get_avg_price(data)
# Get trend info
trend = static_data.get("trend", "stable")
trend_reason = static_data.get("trend_reason", "Price tracking available")
# Generate realistic historical data
# Generate historical data (simulated for now, real when we have more scrapes)
history = []
current_date = datetime.utcnow()
# Base price trend calculation
# Calculate trend factor based on known trends
trend_factor = 1.0
if data["trend"] == "up":
trend_factor = 0.92 # Prices were 8% lower
elif data["trend"] == "down":
trend_factor = 1.05 # Prices were 5% higher
if trend == "up":
trend_factor = 0.92 # Prices were ~8% lower
elif trend == "down":
trend_factor = 1.05 # Prices were ~5% higher
for i in range(days, -1, -7): # Weekly data points
# Generate weekly data points
for i in range(days, -1, -7):
date = current_date - timedelta(days=i)
progress = 1 - (i / days)
if data["trend"] == "up":
if trend == "up":
price = current_price * (trend_factor + (1 - trend_factor) * progress)
elif data["trend"] == "down":
elif trend == "down":
price = current_price * (trend_factor - (trend_factor - 1) * progress)
else:
import math
# Add small fluctuation for stable prices
fluctuation = math.sin(i * 0.1) * 0.02
price = current_price * (1 + fluctuation)
@ -560,22 +531,24 @@ async def get_tld_price_history(
"price": round(price, 2),
})
# Calculate price changes
price_7d_ago = history[-2]["price"] if len(history) >= 2 else current_price
price_30d_ago = history[-5]["price"] if len(history) >= 5 else current_price
price_90d_ago = history[0]["price"] if len(history) > 0 else current_price
price_90d_ago = history[0]["price"] if history else current_price
return {
"tld": tld_clean,
"type": data["type"],
"description": data["description"],
"registry": data.get("registry", "Unknown"),
"type": static_data.get("type", guess_tld_type(tld_clean)),
"description": static_data.get("description", f".{tld_clean} domain extension"),
"registry": static_data.get("registry", "Unknown"),
"current_price": current_price,
"price_change_7d": round((current_price - history[-2]["price"]) / history[-2]["price"] * 100, 2) if len(history) >= 2 else 0,
"price_change_30d": round((current_price - price_30d_ago) / price_30d_ago * 100, 2),
"price_change_90d": round((current_price - price_90d_ago) / price_90d_ago * 100, 2),
"trend": data["trend"],
"trend_reason": data["trend_reason"],
"price_change_7d": round((current_price - price_7d_ago) / price_7d_ago * 100, 2) if price_7d_ago else 0,
"price_change_30d": round((current_price - price_30d_ago) / price_30d_ago * 100, 2) if price_30d_ago else 0,
"price_change_90d": round((current_price - price_90d_ago) / price_90d_ago * 100, 2) if price_90d_ago else 0,
"trend": trend,
"trend_reason": trend_reason,
"history": history,
"source": "static",
"source": "simulated" if not static_data else "static",
}
@ -607,36 +580,69 @@ async def compare_tld_prices(
"""Compare prices across different registrars for a TLD."""
tld_clean = tld.lower().lstrip(".")
if tld_clean not in TLD_DATA:
# Try static data first
if tld_clean in TLD_DATA:
data = TLD_DATA[tld_clean]
registrars = []
for name, prices in data["registrars"].items():
registrars.append({
"name": name,
"registration_price": prices["register"],
"renewal_price": prices["renew"],
"transfer_price": prices["transfer"],
})
registrars.sort(key=lambda x: x["registration_price"])
return {
"tld": tld_clean,
"type": data["type"],
"description": data["description"],
"registry": data.get("registry", "Unknown"),
"introduced": data.get("introduced"),
"registrars": registrars,
"cheapest_registrar": registrars[0]["name"],
"cheapest_price": registrars[0]["registration_price"],
"price_range": {
"min": get_min_price(data),
"max": get_max_price(data),
"avg": get_avg_price(data),
},
}
# Fall back to database
db_prices = await get_db_prices(db, tld_clean)
if not db_prices:
raise HTTPException(status_code=404, detail=f"TLD '.{tld_clean}' not found")
data = TLD_DATA[tld_clean]
registrars = []
for name, prices in data["registrars"].items():
registrars.append({
tld_data = db_prices[tld_clean]
registrars = [
{
"name": name,
"registration_price": prices["register"],
"renewal_price": prices["renew"],
"transfer_price": prices["transfer"],
})
# Sort by registration price
}
for name, prices in tld_data["registrars"].items()
]
registrars.sort(key=lambda x: x["registration_price"])
prices = tld_data["prices"]
return {
"tld": tld_clean,
"type": data["type"],
"description": data["description"],
"registry": data.get("registry", "Unknown"),
"introduced": data.get("introduced"),
"type": guess_tld_type(tld_clean),
"description": f".{tld_clean} domain extension",
"registry": "Unknown",
"introduced": None,
"registrars": registrars,
"cheapest_registrar": registrars[0]["name"],
"cheapest_price": registrars[0]["registration_price"],
"cheapest_registrar": registrars[0]["name"] if registrars else "N/A",
"cheapest_price": min(prices) if prices else 0,
"price_range": {
"min": get_min_price(data),
"max": get_max_price(data),
"avg": get_avg_price(data),
"min": min(prices) if prices else 0,
"max": max(prices) if prices else 0,
"avg": round(sum(prices) / len(prices), 2) if prices else 0,
},
}
@ -649,34 +655,69 @@ async def get_tld_details(
"""Get complete details for a specific TLD."""
tld_clean = tld.lower().lstrip(".")
if tld_clean not in TLD_DATA:
# Try static data first
if tld_clean in TLD_DATA:
data = TLD_DATA[tld_clean]
registrars = []
for name, prices in data["registrars"].items():
registrars.append({
"name": name,
"registration_price": prices["register"],
"renewal_price": prices["renew"],
"transfer_price": prices["transfer"],
})
registrars.sort(key=lambda x: x["registration_price"])
return {
"tld": tld_clean,
"type": data["type"],
"description": data["description"],
"registry": data.get("registry", "Unknown"),
"introduced": data.get("introduced"),
"trend": data["trend"],
"trend_reason": data["trend_reason"],
"pricing": {
"avg": get_avg_price(data),
"min": get_min_price(data),
"max": get_max_price(data),
},
"registrars": registrars,
"cheapest_registrar": registrars[0]["name"],
}
# Fall back to database
db_prices = await get_db_prices(db, tld_clean)
if not db_prices:
raise HTTPException(status_code=404, detail=f"TLD '.{tld_clean}' not found")
data = TLD_DATA[tld_clean]
registrars = []
for name, prices in data["registrars"].items():
registrars.append({
tld_data = db_prices[tld_clean]
registrars = [
{
"name": name,
"registration_price": prices["register"],
"renewal_price": prices["renew"],
"transfer_price": prices["transfer"],
})
}
for name, prices in tld_data["registrars"].items()
]
registrars.sort(key=lambda x: x["registration_price"])
prices = tld_data["prices"]
return {
"tld": tld_clean,
"type": data["type"],
"description": data["description"],
"registry": data.get("registry", "Unknown"),
"introduced": data.get("introduced"),
"trend": data["trend"],
"trend_reason": data["trend_reason"],
"type": guess_tld_type(tld_clean),
"description": f".{tld_clean} domain extension",
"registry": "Unknown",
"introduced": None,
"trend": "stable",
"trend_reason": "Price tracking started recently",
"pricing": {
"avg": get_avg_price(data),
"min": get_min_price(data),
"max": get_max_price(data),
"avg": round(sum(prices) / len(prices), 2) if prices else 0,
"min": min(prices) if prices else 0,
"max": max(prices) if prices else 0,
},
"registrars": registrars,
"cheapest_registrar": registrars[0]["name"],
"cheapest_registrar": registrars[0]["name"] if registrars else "N/A",
}

30
frontend/src/app/tld-pricing/[tld]/page.tsx
View File

@ -72,37 +72,37 @@ export default function TldDetailPage() {
const loadData = async () => {
try {
const [historyData, compareData] = await Promise.all([
api.getTldHistory(tld, 90),
api.getTldHistory(tld, 365), // Get full year for better trend data
api.getTldCompare(tld),
])
// Build details from API data
if (historyData && compareData) {
const registrars = compareData.registrars || []
const prices = registrars.map(r => r.registration_price)
const avgPrice = prices.length > 0 ? prices.reduce((a, b) => a + b, 0) / prices.length : 0
const priceRange = compareData.price_range || { min: 0, max: 0, avg: 0 }
setDetails({
tld: tld,
type: 'generic',
description: `Domain extension .${tld}`,
registry: 'Various',
introduced: 2020,
trend: historyData.price_change_30d > 0 ? 'up' : historyData.price_change_30d < 0 ? 'down' : 'stable',
trend_reason: 'Price tracking available',
tld: compareData.tld || tld,
type: compareData.type || 'generic',
description: compareData.description || `Domain extension .${tld}`,
registry: compareData.registry || 'Unknown',
introduced: compareData.introduced || 0,
trend: historyData.trend || 'stable',
trend_reason: historyData.trend_reason || 'Price tracking available',
pricing: {
avg: avgPrice,
min: Math.min(...prices),
max: Math.max(...prices),
avg: priceRange.avg || historyData.current_price || 0,
min: priceRange.min || historyData.current_price || 0,
max: priceRange.max || historyData.current_price || 0,
},
registrars: registrars.sort((a, b) => a.registration_price - b.registration_price),
cheapest_registrar: registrars[0]?.name || 'N/A',
registrars: registrars.sort((a: { registration_price: number }, b: { registration_price: number }) => a.registration_price - b.registration_price),
cheapest_registrar: compareData.cheapest_registrar || registrars[0]?.name || 'N/A',
})
setHistory(historyData)
} else {
setError('Failed to load TLD data')
}
} catch (err) {
console.error('Error loading TLD data:', err)
setError('Failed to load TLD data')
} finally {
setLoading(false)