matrx-utils
Foundation utilities for the Matrx ecosystem — cloud file handling (AWS S3 and local/server filesystems), a pluggable settings + request-context layer, and a set of developer helpers (fancy printing, data transforms, field-processing, code analysis).
matrx-utils is the bottom of the Matrx dependency graph. It has no sibling dependencies. Everything else (matrx-connect, matrx-orm, matrx-graph, matrx-scraper, matrx-ai) depends on it, directly or transitively.
Install
pip install matrx-utils
Python 3.13+ required.
What's in the box
| Module | What it does |
|---|---|
matrx_utils.conf |
configure_settings(obj) + a lazy settings proxy that falls back to env vars |
matrx_utils.ctx |
UserContext protocol, SimpleUserContext, configure_context(getter), get_active_context() |
matrx_utils.fancy_prints |
vcprint, vclist, print_link, MatrixPrintLog, to_matrx_json |
matrx_utils.data_handling |
DataTransformer, URL and value validators |
matrx_files |
FileManager, FileHandler, BatchHandler, open_any_file |
matrx_files.cloud_sync |
S3Backend, ServerBackend, CloudSyncConfig, SyncEngine + permissions and versioning |
matrx_utils.field_processing |
camel_to_snake, process_field_definitions, generate_complete_code |
matrx_utils.code_context, matrx_utils.package_analysis, matrx_utils.react_analysis |
Developer utilities for scanning codebases |
Usage — standalone
Out of the box, matrx-utils reads its configuration from environment variables via a lazy settings proxy, and returns a minimal SimpleUserContext when no request context is available:
from matrx_utils import vcprint, settings
from matrx_files.cloud_sync import S3Backend
vcprint("hello")
vcprint(settings.SUPABASE_URL) # read from env
backend = S3Backend() # credentials resolved from settings
backend.write("reports/today.json", b"{}")
Usage — inside a host application
A parent app (like aidream) can inject its own settings object and request-context resolver so every downstream helper picks up the right user/project/emitter automatically:
from matrx_utils import configure_settings, configure_context
from matrx_connect import try_get_app_context # optional, only if you use matrx-connect
from myapp.settings import settings
configure_settings(settings)
configure_context(try_get_app_context)
After configure_context(...), any code that calls get_active_context() inside a request will get the caller's UserContext without that code having to accept it as a parameter. This is the "capability-within, injection-without" pattern that the other Matrx packages follow.
Standalone-friendliness
This package is designed to work with zero Matrx siblings present. It references matrx-connect in exactly one place — the PDF handler — and that import is lazy with a dict fallback, so pip install matrx-utils followed by import matrx_utils works in any Python project.
Contributing
See CLAUDE.md for package-specific rules (import rules, configuration pattern, known issues). This package lives in the aidream monorepo at github.com/AI-Matrix-Engine/aidream-current.
License
MIT.
1 maintainer
Release files for matrx-utils 2.0.50
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