chore: upgrade all Python packages and fix linting issues

- Update all dependencies to latest versions (fastmcp, httpx, packaging, etc.)
- Downgrade click from yanked 8.2.2 to stable 8.1.7
- Fix code formatting and linting issues with ruff
- Most tests passing (2 test failures in dependency resolver need investigation)
This commit is contained in:
Ryan Malloy 2025-08-15 20:23:14 -06:00
parent 503ea589f1
commit 8b43927493
34 changed files with 2276 additions and 1593 deletions

View file

@ -3,14 +3,13 @@
import logging
import os
from datetime import datetime
from typing import Any, Dict, List, Optional
from typing import Any
from ..core.github_client import GitHubAPIClient
from ..core.pypi_client import PyPIClient
from ..core.stats_client import PyPIStatsClient
from ..data.popular_packages import (
GITHUB_REPO_PATTERNS,
PACKAGES_BY_NAME,
estimate_downloads_for_period,
get_popular_packages,
)
@ -73,11 +72,11 @@ async def get_package_download_stats(
# Calculate trends and analysis
analysis = _analyze_download_stats(download_data)
# Determine data source and add warnings if needed
data_source = recent_stats.get("source", "pypistats.org")
warning_note = recent_stats.get("note")
result = {
"package": package_name,
"metadata": package_metadata,
@ -87,15 +86,17 @@ async def get_package_download_stats(
"data_source": data_source,
"timestamp": datetime.now().isoformat(),
}
# Add warning/note about data quality if present
if warning_note:
result["data_quality_note"] = warning_note
# Add reliability indicator
if data_source == "fallback_estimates":
result["reliability"] = "estimated"
result["warning"] = "Data is estimated due to API unavailability. Actual download counts may differ significantly."
result["warning"] = (
"Data is estimated due to API unavailability. Actual download counts may differ significantly."
)
elif "stale" in warning_note.lower() if warning_note else False:
result["reliability"] = "cached"
result["warning"] = "Data may be outdated due to current API issues."
@ -142,7 +143,7 @@ async def get_package_download_trends(
# Analyze trends
trend_analysis = _analyze_download_trends(time_series_data, include_mirrors)
# Determine data source and add warnings if needed
data_source = overall_stats.get("source", "pypistats.org")
warning_note = overall_stats.get("note")
@ -155,15 +156,17 @@ async def get_package_download_trends(
"data_source": data_source,
"timestamp": datetime.now().isoformat(),
}
# Add warning/note about data quality if present
if warning_note:
result["data_quality_note"] = warning_note
# Add reliability indicator
if data_source == "fallback_estimates":
result["reliability"] = "estimated"
result["warning"] = "Data is estimated due to API unavailability. Actual download trends may differ significantly."
result["warning"] = (
"Data is estimated due to API unavailability. Actual download trends may differ significantly."
)
elif "stale" in warning_note.lower() if warning_note else False:
result["reliability"] = "cached"
result["warning"] = "Data may be outdated due to current API issues."
@ -201,56 +204,54 @@ async def get_top_packages_by_downloads(
"""
# Get curated popular packages as base data
curated_packages = get_popular_packages(limit=max(limit * 2, 100))
# Try to enhance with real PyPI stats
enhanced_packages = await _enhance_with_real_stats(
curated_packages, period, limit
)
enhanced_packages = await _enhance_with_real_stats(curated_packages, period, limit)
# Try to enhance with GitHub metrics
final_packages = await _enhance_with_github_stats(
enhanced_packages, limit
)
final_packages = await _enhance_with_github_stats(enhanced_packages, limit)
# Ensure we have the requested number of packages
if len(final_packages) < limit:
# Add more from curated list if needed
additional_needed = limit - len(final_packages)
existing_names = {pkg["package"] for pkg in final_packages}
for pkg_info in curated_packages:
if pkg_info.name not in existing_names and additional_needed > 0:
final_packages.append({
"package": pkg_info.name,
"downloads": estimate_downloads_for_period(
pkg_info.estimated_monthly_downloads, period
),
"period": period,
"data_source": "curated",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
})
final_packages.append(
{
"package": pkg_info.name,
"downloads": estimate_downloads_for_period(
pkg_info.estimated_monthly_downloads, period
),
"period": period,
"data_source": "curated",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
}
)
additional_needed -= 1
# Sort by download count and assign ranks
final_packages.sort(key=lambda x: x.get("downloads", 0), reverse=True)
final_packages = final_packages[:limit]
for i, package in enumerate(final_packages):
package["rank"] = i + 1
# Determine primary data source
real_stats_count = len([p for p in final_packages if not p.get("estimated", False)])
github_enhanced_count = len([p for p in final_packages if "github_stars" in p])
if real_stats_count > limit // 2:
primary_source = "pypistats.org with curated fallback"
elif github_enhanced_count > 0:
primary_source = "curated data enhanced with GitHub metrics"
else:
primary_source = "curated popular packages database"
return {
"top_packages": final_packages,
"period": period,
@ -386,50 +387,73 @@ def _analyze_download_trends(
async def _enhance_with_real_stats(
curated_packages: List, period: str, limit: int
) -> List[Dict[str, Any]]:
curated_packages: list, period: str, limit: int
) -> list[dict[str, Any]]:
"""Try to enhance curated packages with real PyPI download statistics.
Args:
curated_packages: List of PackageInfo objects from curated data
period: Time period for stats
limit: Maximum number of packages to process
Returns:
List of enhanced package dictionaries
"""
enhanced_packages = []
try:
async with PyPIStatsClient() as stats_client:
# Try to get real stats for top packages
for pkg_info in curated_packages[:limit * 2]: # Try more than needed
for pkg_info in curated_packages[: limit * 2]: # Try more than needed
try:
stats = await stats_client.get_recent_downloads(
pkg_info.name, period, use_cache=True
)
download_data = stats.get("data", {})
real_download_count = _extract_download_count(download_data, period)
if real_download_count > 0:
# Use real stats
enhanced_packages.append({
"package": pkg_info.name,
"downloads": real_download_count,
"period": period,
"data_source": "pypistats.org",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": False,
})
logger.debug(f"Got real stats for {pkg_info.name}: {real_download_count}")
enhanced_packages.append(
{
"package": pkg_info.name,
"downloads": real_download_count,
"period": period,
"data_source": "pypistats.org",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": False,
}
)
logger.debug(
f"Got real stats for {pkg_info.name}: {real_download_count}"
)
else:
# Fall back to estimated downloads
estimated_downloads = estimate_downloads_for_period(
pkg_info.estimated_monthly_downloads, period
)
enhanced_packages.append({
enhanced_packages.append(
{
"package": pkg_info.name,
"downloads": estimated_downloads,
"period": period,
"data_source": "estimated",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
}
)
except Exception as e:
logger.debug(f"Failed to get real stats for {pkg_info.name}: {e}")
# Fall back to estimated downloads
estimated_downloads = estimate_downloads_for_period(
pkg_info.estimated_monthly_downloads, period
)
enhanced_packages.append(
{
"package": pkg_info.name,
"downloads": estimated_downloads,
"period": period,
@ -437,28 +461,13 @@ async def _enhance_with_real_stats(
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
})
except Exception as e:
logger.debug(f"Failed to get real stats for {pkg_info.name}: {e}")
# Fall back to estimated downloads
estimated_downloads = estimate_downloads_for_period(
pkg_info.estimated_monthly_downloads, period
}
)
enhanced_packages.append({
"package": pkg_info.name,
"downloads": estimated_downloads,
"period": period,
"data_source": "estimated",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
})
# Stop if we have enough packages
if len(enhanced_packages) >= limit:
break
except Exception as e:
logger.warning(f"PyPI stats client failed entirely: {e}")
# Fall back to all estimated data
@ -466,52 +475,56 @@ async def _enhance_with_real_stats(
estimated_downloads = estimate_downloads_for_period(
pkg_info.estimated_monthly_downloads, period
)
enhanced_packages.append({
"package": pkg_info.name,
"downloads": estimated_downloads,
"period": period,
"data_source": "estimated",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
})
enhanced_packages.append(
{
"package": pkg_info.name,
"downloads": estimated_downloads,
"period": period,
"data_source": "estimated",
"category": pkg_info.category,
"description": pkg_info.description,
"estimated": True,
}
)
return enhanced_packages
async def _enhance_with_github_stats(
packages: List[Dict[str, Any]], limit: int
) -> List[Dict[str, Any]]:
packages: list[dict[str, Any]], limit: int
) -> list[dict[str, Any]]:
"""Try to enhance packages with GitHub repository statistics.
Args:
packages: List of package dictionaries to enhance
limit: Maximum number of packages to process
Returns:
List of enhanced package dictionaries
"""
github_token = os.getenv("GITHUB_TOKEN") # Optional GitHub token
try:
async with GitHubAPIClient(github_token=github_token) as github_client:
# Get GitHub repo paths for packages that have them
repo_paths = []
package_to_repo = {}
for pkg in packages[:limit]:
repo_path = GITHUB_REPO_PATTERNS.get(pkg["package"])
if repo_path:
repo_paths.append(repo_path)
package_to_repo[pkg["package"]] = repo_path
if repo_paths:
# Fetch GitHub stats for all repositories concurrently
logger.debug(f"Fetching GitHub stats for {len(repo_paths)} repositories")
logger.debug(
f"Fetching GitHub stats for {len(repo_paths)} repositories"
)
repo_stats = await github_client.get_multiple_repo_stats(
repo_paths, use_cache=True, max_concurrent=3
)
# Enhance packages with GitHub data
for pkg in packages:
repo_path = package_to_repo.get(pkg["package"])
@ -523,38 +536,42 @@ async def _enhance_with_github_stats(
pkg["github_updated_at"] = stats["updated_at"]
pkg["github_language"] = stats["language"]
pkg["github_topics"] = stats.get("topics", [])
# Adjust download estimates based on GitHub popularity
if pkg.get("estimated", False):
popularity_boost = _calculate_popularity_boost(stats)
pkg["downloads"] = int(pkg["downloads"] * popularity_boost)
pkg["downloads"] = int(
pkg["downloads"] * popularity_boost
)
pkg["github_enhanced"] = True
logger.info(f"Enhanced {len([p for p in packages if 'github_stars' in p])} packages with GitHub data")
logger.info(
f"Enhanced {len([p for p in packages if 'github_stars' in p])} packages with GitHub data"
)
except Exception as e:
logger.debug(f"GitHub enhancement failed: {e}")
# Continue without GitHub enhancement
pass
return packages
def _calculate_popularity_boost(github_stats: Dict[str, Any]) -> float:
def _calculate_popularity_boost(github_stats: dict[str, Any]) -> float:
"""Calculate a popularity boost multiplier based on GitHub metrics.
Args:
github_stats: GitHub repository statistics
Returns:
Multiplier between 0.5 and 2.0 based on popularity
"""
stars = github_stats.get("stars", 0)
forks = github_stats.get("forks", 0)
# Base multiplier
multiplier = 1.0
# Adjust based on stars (logarithmic scale)
if stars > 50000:
multiplier *= 1.5
@ -568,7 +585,7 @@ def _calculate_popularity_boost(github_stats: Dict[str, Any]) -> float:
multiplier *= 0.9
elif stars < 500:
multiplier *= 0.8
# Adjust based on forks (indicates active usage)
if forks > 10000:
multiplier *= 1.2
@ -576,7 +593,7 @@ def _calculate_popularity_boost(github_stats: Dict[str, Any]) -> float:
multiplier *= 1.1
elif forks < 100:
multiplier *= 0.9
# Ensure multiplier stays within reasonable bounds
return max(0.5, min(2.0, multiplier))