MCP/pypi-query-mcp
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

chore: upgrade all Python packages and fix linting issues

Browse source 
- 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
Download patch file Download diff file Expand all files Collapse all files

2
pypi_query_mcp/data/__init__.py
View file

@ -1 +1 @@
"""Data module for PyPI package information."""
"""Data module for PyPI package information."""

356
pypi_query_mcp/data/popular_packages.py
View file

@ -10,10 +10,12 @@ The rankings and download estimates are based on:
Data is organized by categories and includes estimated relative popularity.
"""
from typing import Dict, List, NamedTuple
from typing import NamedTuple
class PackageInfo(NamedTuple):
"""Information about a popular package."""
name: str
category: str
estimated_monthly_downloads: int
@ -21,60 +23,226 @@ class PackageInfo(NamedTuple):
description: str
primary_use_case: str
# Core packages that are dependencies for many other packages
INFRASTRUCTURE_PACKAGES = [
PackageInfo("setuptools", "packaging", 800_000_000, 2100, "Package development tools", "packaging"),
PackageInfo("wheel", "packaging", 700_000_000, 400, "Binary package format", "packaging"),
PackageInfo("pip", "packaging", 600_000_000, 9500, "Package installer", "packaging"),
PackageInfo("certifi", "security", 500_000_000, 800, "Certificate bundle", "security"),
PackageInfo("urllib3", "networking", 450_000_000, 3600, "HTTP client library", "networking"),
PackageInfo("charset-normalizer", "text", 400_000_000, 400, "Character encoding detection", "text-processing"),
PackageInfo("idna", "networking", 380_000_000, 200, "Internationalized domain names", "networking"),
PackageInfo("six", "compatibility", 350_000_000, 900, "Python 2 and 3 compatibility", "compatibility"),
PackageInfo("python-dateutil", "datetime", 320_000_000, 2200, "Date and time utilities", "datetime"),
PackageInfo("requests", "networking", 300_000_000, 51000, "HTTP library", "networking"),
PackageInfo(
"setuptools",
"packaging",
800_000_000,
2100,
"Package development tools",
"packaging",
),
PackageInfo(
"wheel", "packaging", 700_000_000, 400, "Binary package format", "packaging"
),
PackageInfo(
"pip", "packaging", 600_000_000, 9500, "Package installer", "packaging"
),
PackageInfo(
"certifi", "security", 500_000_000, 800, "Certificate bundle", "security"
),
PackageInfo(
"urllib3", "networking", 450_000_000, 3600, "HTTP client library", "networking"
),
PackageInfo(
"charset-normalizer",
"text",
400_000_000,
400,
"Character encoding detection",
"text-processing",
),
PackageInfo(
"idna",
"networking",
380_000_000,
200,
"Internationalized domain names",
"networking",
),
PackageInfo(
"six",
"compatibility",
350_000_000,
900,
"Python 2 and 3 compatibility",
"compatibility",
),
PackageInfo(
"python-dateutil",
"datetime",
320_000_000,
2200,
"Date and time utilities",
"datetime",
),
PackageInfo(
"requests", "networking", 300_000_000, 51000, "HTTP library", "networking"
),
]
# AWS and cloud packages
CLOUD_PACKAGES = [
PackageInfo("boto3", "cloud", 280_000_000, 8900, "AWS SDK", "cloud"),
PackageInfo("botocore", "cloud", 275_000_000, 1400, "AWS SDK core", "cloud"),
PackageInfo("s3transfer", "cloud", 250_000_000, 200, "S3 transfer utilities", "cloud"),
PackageInfo(
"s3transfer", "cloud", 250_000_000, 200, "S3 transfer utilities", "cloud"
),
PackageInfo("awscli", "cloud", 80_000_000, 15000, "AWS command line", "cloud"),
PackageInfo("azure-core", "cloud", 45_000_000, 400, "Azure SDK core", "cloud"),
PackageInfo("google-cloud-storage", "cloud", 35_000_000, 300, "Google Cloud Storage", "cloud"),
PackageInfo("azure-storage-blob", "cloud", 30_000_000, 200, "Azure Blob Storage", "cloud"),
PackageInfo(
"google-cloud-storage",
"cloud",
35_000_000,
300,
"Google Cloud Storage",
"cloud",
),
PackageInfo(
"azure-storage-blob", "cloud", 30_000_000, 200, "Azure Blob Storage", "cloud"
),
]
# Data science and ML packages
DATA_SCIENCE_PACKAGES = [
PackageInfo("numpy", "data-science", 200_000_000, 26000, "Numerical computing", "data-science"),
PackageInfo("pandas", "data-science", 150_000_000, 42000, "Data manipulation", "data-science"),
PackageInfo("scikit-learn", "machine-learning", 80_000_000, 58000, "Machine learning", "machine-learning"),
PackageInfo("matplotlib", "visualization", 75_000_000, 19000, "Plotting library", "visualization"),
PackageInfo("scipy", "data-science", 70_000_000, 12000, "Scientific computing", "data-science"),
PackageInfo("seaborn", "visualization", 45_000_000, 11000, "Statistical visualization", "visualization"),
PackageInfo("plotly", "visualization", 40_000_000, 15000, "Interactive plots", "visualization"),
PackageInfo("jupyter", "development", 35_000_000, 7000, "Interactive notebooks", "development"),
PackageInfo("ipython", "development", 50_000_000, 8000, "Interactive Python", "development"),
PackageInfo("tensorflow", "machine-learning", 25_000_000, 185000, "Deep learning", "machine-learning"),
PackageInfo("torch", "machine-learning", 20_000_000, 81000, "PyTorch deep learning", "machine-learning"),
PackageInfo("transformers", "machine-learning", 15_000_000, 130000, "NLP transformers", "machine-learning"),
PackageInfo(
"numpy",
"data-science",
200_000_000,
26000,
"Numerical computing",
"data-science",
),
PackageInfo(
"pandas",
"data-science",
150_000_000,
42000,
"Data manipulation",
"data-science",
),
PackageInfo(
"scikit-learn",
"machine-learning",
80_000_000,
58000,
"Machine learning",
"machine-learning",
),
PackageInfo(
"matplotlib",
"visualization",
75_000_000,
19000,
"Plotting library",
"visualization",
),
PackageInfo(
"scipy",
"data-science",
70_000_000,
12000,
"Scientific computing",
"data-science",
),
PackageInfo(
"seaborn",
"visualization",
45_000_000,
11000,
"Statistical visualization",
"visualization",
),
PackageInfo(
"plotly",
"visualization",
40_000_000,
15000,
"Interactive plots",
"visualization",
),
PackageInfo(
"jupyter",
"development",
35_000_000,
7000,
"Interactive notebooks",
"development",
),
PackageInfo(
"ipython", "development", 50_000_000, 8000, "Interactive Python", "development"
),
PackageInfo(
"tensorflow",
"machine-learning",
25_000_000,
185000,
"Deep learning",
"machine-learning",
),
PackageInfo(
"torch",
"machine-learning",
20_000_000,
81000,
"PyTorch deep learning",
"machine-learning",
),
PackageInfo(
"transformers",
"machine-learning",
15_000_000,
130000,
"NLP transformers",
"machine-learning",
),
]
# Development and testing
DEVELOPMENT_PACKAGES = [
PackageInfo("typing-extensions", "development", 180_000_000, 3000, "Typing extensions", "development"),
PackageInfo("packaging", "development", 160_000_000, 600, "Package utilities", "development"),
PackageInfo("pytest", "testing", 100_000_000, 11000, "Testing framework", "testing"),
PackageInfo(
"typing-extensions",
"development",
180_000_000,
3000,
"Typing extensions",
"development",
),
PackageInfo(
"packaging", "development", 160_000_000, 600, "Package utilities", "development"
),
PackageInfo(
"pytest", "testing", 100_000_000, 11000, "Testing framework", "testing"
),
PackageInfo("click", "cli", 90_000_000, 15000, "Command line interface", "cli"),
PackageInfo("pyyaml", "serialization", 85_000_000, 2200, "YAML parser", "serialization"),
PackageInfo("jinja2", "templating", 80_000_000, 10000, "Template engine", "templating"),
PackageInfo("markupsafe", "templating", 75_000_000, 600, "Safe markup", "templating"),
PackageInfo("attrs", "development", 60_000_000, 5000, "Classes without boilerplate", "development"),
PackageInfo("black", "development", 40_000_000, 38000, "Code formatter", "development"),
PackageInfo("flake8", "development", 35_000_000, 3000, "Code linting", "development"),
PackageInfo("mypy", "development", 30_000_000, 17000, "Static type checker", "development"),
PackageInfo(
"pyyaml", "serialization", 85_000_000, 2200, "YAML parser", "serialization"
),
PackageInfo(
"jinja2", "templating", 80_000_000, 10000, "Template engine", "templating"
),
PackageInfo(
"markupsafe", "templating", 75_000_000, 600, "Safe markup", "templating"
),
PackageInfo(
"attrs",
"development",
60_000_000,
5000,
"Classes without boilerplate",
"development",
),
PackageInfo(
"black", "development", 40_000_000, 38000, "Code formatter", "development"
),
PackageInfo(
"flake8", "development", 35_000_000, 3000, "Code linting", "development"
),
PackageInfo(
"mypy", "development", 30_000_000, 17000, "Static type checker", "development"
),
]
# Web development
@ -83,49 +251,87 @@ WEB_PACKAGES = [
PackageInfo("flask", "web", 55_000_000, 66000, "Micro web framework", "web"),
PackageInfo("fastapi", "web", 35_000_000, 74000, "Modern web API framework", "web"),
PackageInfo("sqlalchemy", "database", 50_000_000, 8000, "SQL toolkit", "database"),
PackageInfo("psycopg2", "database", 25_000_000, 3000, "PostgreSQL adapter", "database"),
PackageInfo(
"psycopg2", "database", 25_000_000, 3000, "PostgreSQL adapter", "database"
),
PackageInfo("redis", "database", 30_000_000, 12000, "Redis client", "database"),
PackageInfo("celery", "async", 25_000_000, 23000, "Distributed task queue", "async"),
PackageInfo(
"celery", "async", 25_000_000, 23000, "Distributed task queue", "async"
),
PackageInfo("gunicorn", "web", 20_000_000, 9000, "WSGI server", "web"),
PackageInfo("uvicorn", "web", 15_000_000, 8000, "ASGI server", "web"),
]
# Security and cryptography
SECURITY_PACKAGES = [
PackageInfo("cryptography", "security", 120_000_000, 6000, "Cryptographic library", "security"),
PackageInfo("pyopenssl", "security", 60_000_000, 800, "OpenSSL wrapper", "security"),
PackageInfo(
"cryptography",
"security",
120_000_000,
6000,
"Cryptographic library",
"security",
),
PackageInfo(
"pyopenssl", "security", 60_000_000, 800, "OpenSSL wrapper", "security"
),
PackageInfo("pyjwt", "security", 40_000_000, 5000, "JSON Web Tokens", "security"),
PackageInfo("bcrypt", "security", 35_000_000, 1200, "Password hashing", "security"),
PackageInfo("pycryptodome", "security", 30_000_000, 2700, "Cryptographic library", "security"),
PackageInfo(
"pycryptodome",
"security",
30_000_000,
2700,
"Cryptographic library",
"security",
),
]
# Networking and API
NETWORKING_PACKAGES = [
PackageInfo("httpx", "networking", 25_000_000, 12000, "HTTP client", "networking"),
PackageInfo("aiohttp", "networking", 35_000_000, 14000, "Async HTTP", "networking"),
PackageInfo("websockets", "networking", 20_000_000, 5000, "WebSocket implementation", "networking"),
PackageInfo(
"websockets",
"networking",
20_000_000,
5000,
"WebSocket implementation",
"networking",
),
PackageInfo("paramiko", "networking", 25_000_000, 8000, "SSH client", "networking"),
]
# Text processing and parsing
TEXT_PACKAGES = [
PackageInfo("beautifulsoup4", "parsing", 40_000_000, 13000, "HTML/XML parser", "parsing"),
PackageInfo(
"beautifulsoup4", "parsing", 40_000_000, 13000, "HTML/XML parser", "parsing"
),
PackageInfo("lxml", "parsing", 35_000_000, 2600, "XML/HTML parser", "parsing"),
PackageInfo("regex", "text", 30_000_000, 700, "Regular expressions", "text-processing"),
PackageInfo("python-docx", "text", 15_000_000, 4000, "Word document processing", "text-processing"),
PackageInfo(
"regex", "text", 30_000_000, 700, "Regular expressions", "text-processing"
),
PackageInfo(
"python-docx",
"text",
15_000_000,
4000,
"Word document processing",
"text-processing",
),
PackageInfo("pillow", "imaging", 60_000_000, 11000, "Image processing", "imaging"),
]
# All packages combined for easy access
ALL_POPULAR_PACKAGES = (
INFRASTRUCTURE_PACKAGES +
CLOUD_PACKAGES +
DATA_SCIENCE_PACKAGES +
DEVELOPMENT_PACKAGES +
WEB_PACKAGES +
SECURITY_PACKAGES +
NETWORKING_PACKAGES +
TEXT_PACKAGES
INFRASTRUCTURE_PACKAGES
+ CLOUD_PACKAGES
+ DATA_SCIENCE_PACKAGES
+ DEVELOPMENT_PACKAGES
+ WEB_PACKAGES
+ SECURITY_PACKAGES
+ NETWORKING_PACKAGES
+ TEXT_PACKAGES
)
# Create lookup dictionaries
@ -136,41 +342,45 @@ for pkg in ALL_POPULAR_PACKAGES:
PACKAGES_BY_CATEGORY[pkg.category] = []
PACKAGES_BY_CATEGORY[pkg.category].append(pkg)
def get_popular_packages(
category: str = None,
limit: int = 50,
min_downloads: int = 0
) -> List[PackageInfo]:
category: str = None, limit: int = 50, min_downloads: int = 0
) -> list[PackageInfo]:
"""Get popular packages filtered by criteria.
Args:
category: Filter by category (e.g., 'web', 'data-science', 'cloud')
limit: Maximum number of packages to return
min_downloads: Minimum estimated monthly downloads
Returns:
List of PackageInfo objects sorted by estimated downloads
"""
packages = ALL_POPULAR_PACKAGES
if category:
packages = [pkg for pkg in packages if pkg.category == category]
if min_downloads:
packages = [pkg for pkg in packages if pkg.estimated_monthly_downloads >= min_downloads]
packages = [
pkg for pkg in packages if pkg.estimated_monthly_downloads >= min_downloads
]
# Sort by estimated downloads (descending)
packages = sorted(packages, key=lambda x: x.estimated_monthly_downloads, reverse=True)
packages = sorted(
packages, key=lambda x: x.estimated_monthly_downloads, reverse=True
)
return packages[:limit]
def estimate_downloads_for_period(monthly_downloads: int, period: str) -> int:
"""Estimate downloads for different time periods.
Args:
monthly_downloads: Estimated monthly downloads
period: Time period ('day', 'week', 'month')
Returns:
Estimated downloads for the period
"""
@ -183,16 +393,20 @@ def estimate_downloads_for_period(monthly_downloads: int, period: str) -> int:
else:
return monthly_downloads
def get_package_info(package_name: str) -> PackageInfo:
"""Get information about a specific package.
Args:
package_name: Name of the package
Returns:
PackageInfo object or None if not found
"""
return PACKAGES_BY_NAME.get(package_name.lower().replace("-", "_").replace("_", "-"))
return PACKAGES_BY_NAME.get(
package_name.lower().replace("-", "_").replace("_", "-")
)
# GitHub repository URL patterns for fetching real-time data
GITHUB_REPO_PATTERNS = {
@ -211,4 +425,4 @@ GITHUB_REPO_PATTERNS = {
"boto3": "boto/boto3",
"sqlalchemy": "sqlalchemy/sqlalchemy",
# Add more mappings as needed
}
}