Skip to main content

Lightweight query access-pattern declaration for ORMs

Project description

query-patterns

Declare query-access patterns in code and verify matching DB indexes. Supports SQLAlchemy and Django, both schema-based and database introspection modes.

What it does

  • Collects all @query_pattern declarations from your Python modules
  • Extracts index definitions from:
    • SQLAlchemy
      • ORM schema (MetaData)
      • Actual DB (Inspector)
    • Django
      • ORM schema (Model._meta.indexes)
      • Actual DB (connection.introspection)
  • Compares (table, columns) tuples
  • Reports:
    • [OK] — index exists
    • [MISSING] — index missing
  • Can be integrated into CI to enforce index coverage

Example output

  • [OK] users('email',)
  • [MISSING] orders('user_id',)

Install

pip install query-patterns

Declare a pattern

from query_patterns import query_pattern

class Repo:
    @query_pattern(table="users", columns=["email"])
    def find(self, email): ...

1. SQLAlchemy Command

# Reads indexes from MetaData
query-patterns sqlalchemy \
  --metadata myapp.db.metadata \
  --module myapp.repo
  
# Auto-discover modules
query-patterns sqlalchemy \
  --metadata myapp.db.metadata
  
# Reads actual indexes from the database
query-patterns sqlalchemy \
  --source db \
  --engine-url postgresql://user:pass@localhost/mydb \
  --module myapp.repo

2. Django Command

# Reads Model._meta.indexes from installed apps
query-patterns django \
  --settings config.settings \
  --module myapp.repo
  
# Auto-discover modules 
query-patterns django \
  --settings config.settings
  
# Reads actual DB indexes using Django introspection
query-patterns django \
  --source db \
  --settings config.settings \
  --module myapp.repo

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

query_patterns-0.1.4.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

query_patterns-0.1.4-py3-none-any.whl (10.7 kB view details)

Uploaded Python 3

File details

Details for the file query_patterns-0.1.4.tar.gz.

File metadata

  • Download URL: query_patterns-0.1.4.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for query_patterns-0.1.4.tar.gz
Algorithm Hash digest
SHA256 f5eb5cd904ac73545d173b3c966b7dafa5239f2b373f36fa7bd59577913359a1
MD5 264e5634457b16b55ce46bcf4d5acbe0
BLAKE2b-256 d5144ce5d810e9baeebf3f590c9bb898dec63ff2d2263c6c95ec9fb787ae842c

See more details on using hashes here.

File details

Details for the file query_patterns-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: query_patterns-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 10.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for query_patterns-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e68f1a31bb45a173cbd8bd8e180c195902a5c14e9f67540855f110d8941b1e4d
MD5 d801aad023781cb88fcf1826a36a6188
BLAKE2b-256 86a2adf1e3af237b664d357810df0eaf6e2985a3f0abd35f0e958ce50c0af259

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page